Pietro Liò

Niccolò Pancino

Alessandro Farace di Villaforesta

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A framework for conditional diffusion modelling with applications in motif scaffolding for protein design.

[BibT_eX]

[DOI]

Urszula Julia Komorowska

Pietro Lio

CoRR, 2023

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.

[BibT_eX]

[DOI]

Fragkiskos D. Malliaros

CoRR, 2023

Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction.

[BibT_eX]

[DOI]

Junwei Yang

CoRR, 2023

Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network.

[BibT_eX]

[DOI]

Junwei Yang

CoRR, 2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

[BibT_eX]

[DOI]

Angelica E. Avilés-Rivero

CoRR, 2023

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks.

[BibT_eX]

[DOI]

Keke Huang

CoRR, 2023

Improving embedding of graphs with missing data by soft manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Fourier Neural Differential Equations for learning Quantum Field Theories.

[BibT_eX]

[DOI]

Isaac Brant

Alexander Norcliffe

CoRR, 2023

Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts.

[BibT_eX]

[DOI]

Jonas Jürß

CoRR, 2023

TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations.

[BibT_eX]

[DOI]

Haitz Sáez de Ocáriz Borde

CoRR, 2023

AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference.

[BibT_eX]

[DOI]

Yuan Lu

CoRR, 2023

Incorporating LLM Priors into Tabular Learners.

[BibT_eX]

[DOI]

CoRR, 2023

Traffic Video Object Detection using Motion Prior.

[BibT_eX]

[DOI]

CoRR, 2023

From Charts to Atlas: Merging Latent Spaces into One.

[BibT_eX]

[DOI]

CoRR, 2023

Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation.

[BibT_eX]

[DOI]

Adrián Bazaga

Gos Micklem

CoRR, 2023

Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design.

[BibT_eX]

[DOI]

Lev Telyatnikov

Maria Sofia Bucarelli

CoRR, 2023

Unsupervised Fact Verification by Language Model Distillation.

[BibT_eX]

[DOI]

Adrián Bazaga

Lynn Egeland Morch-Johnsen

Gos Micklem

CoRR, 2023

A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Stochastic Differential Equations.

[BibT_eX]

[DOI]

Richard Bergna

Felix L. Opolka

José Miguel Hernández-Lobato

CoRR, 2023

Topological Graph Signal Compression.

[BibT_eX]

[DOI]

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Albert Cabellos-Aparicio

Pere Barlet-Ros

CoRR, 2023

Neural Priority Queues for Graph Neural Networks.

[BibT_eX]

[DOI]

Rishabh Jain

CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

[BibT_eX]

[DOI]

Aria Mansouri Tehrani

Kamyar Azizzadenesheli

CoRR, 2023

SHARCS: Shared Concept Space for Explainable Multimodal Learning.

[BibT_eX]

[DOI]

Gabriele Dominici

CoRR, 2023

Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models.

[BibT_eX]

[DOI]

Aleksa Bisercic

Mladen Nikolic

Boris Delibasic

Andrija Petrovic

CoRR, 2023

Neural Embeddings for Protein Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

CIN++: Enhancing Topological Message Passing.

[BibT_eX]

[DOI]

CoRR, 2023

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis.

[BibT_eX]

[DOI]

Veronica Lachi

Monica Bianchini

Chiara Mocenni

CoRR, 2023

A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Renormalized Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Group Invariant Global Pooling.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-State RNA Design with Geometric Multi-Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Multiple Instance Learning with Distance-Aware Self-Attention.

[BibT_eX]

[DOI]

Georg Wölflein

David J. Harrison

Ognjen Arandjelovic

CoRR, 2023

Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing.

[BibT_eX]

[DOI]

CoRR, 2023

Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics.

[BibT_eX]

[DOI]

CoRR, 2023

ElegansNet: a brief scientific report and initial experiments.

[BibT_eX]

[DOI]

CoRR, 2023

Sheaf Neural Networks for Graph-based Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Assisting clinical practice with fuzzy probabilistic decision trees.

[BibT_eX]

[DOI]

CoRR, 2023

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing.

[BibT_eX]

[DOI]

CoRR, 2023

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning.

[BibT_eX]

[DOI]

Guang Yang

CoRR, 2023

A Federated Learning Benchmark for Drug-Target Interaction.

[BibT_eX]

[DOI]

CoRR, 2023

GCI: A (G)raph (C)oncept (I)nterpretation Framework.

[BibT_eX]

[DOI]

Dmitry Kazhdan

Botty Dimanov

CoRR, 2023

Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey of Graph-level Learning.

[BibT_eX]

[DOI]

CoRR, 2023

PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning.

[BibT_eX]

[DOI]

Phasit Charoenkwan

Chonlatip Pipattanaboon

Comput. Biol. Medicine, 2023

Logic Explained Networks.

[BibT_eX]

[DOI]

Artif. Intell., 2023

Concept Distillation in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

A Federated Learning Benchmark for Drug-Target Interaction.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network.

[BibT_eX]

[DOI]

Xiaoyu Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Graph classification Gaussian processes via spectral features.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach.

[BibT_eX]

[DOI]

Oguzhan Keskin

Alisia Maria Lupidi

Stefano Fioravanti

Pietro Lio

Francesco Giannini

Proceedings of the Topological, 2023

Graph Denoising Diffusion for Inverse Protein Folding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Graph Networks Formulate Universal Algebra Conjectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sheaf Hypergraph Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DBGSL: Dynamic Brain Graph Structure Learning.

[BibT_eX]

[DOI]

Alexander Campbell

Antonio Giuliano Zippo

Luca Passamonti

Nicola Toschi

Pietro Lio

Proceedings of the Medical Imaging with Deep Learning, 2023

DBGDGM: Dynamic Brain Graph Deep Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Will More Expressive Graph Neural Networks Do Better on Generative Tasks?

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Neural Algorithmic Reasoning for Combinatorial Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

On the Expressive Power of Geometric Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology.

[BibT_eX]

[DOI]

Francesco Di Giovanni

Proceedings of the International Conference on Machine Learning, 2023

Interpretable Neural-Symbolic Concept Reasoning.

[BibT_eX]

[DOI]

Gabriele Ciravegna

Francesco Giannini

Mateo Espinosa Zarlenga

Haitz Sáez de Ocáriz Borde

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Distance Message Passing From the Multi-Relational Edge View.

[BibT_eX]

[DOI]

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Latent Graph Inference using Product Manifolds.

[BibT_eX]

[DOI]

Anees Kazi

Federico Barbero

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Global Explainability of GNNs via Logic Combination of Learned Concepts.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Topological Network Traffic Compression.

[BibT_eX]

[DOI]

Guillermo Bernárdez

Lev Telyatnikov

Eduard Alarcón

Albert Cabellos-Aparicio

Pere Barlet-Ros

Proceedings of the 2nd on Graph Neural Networking Workshop 2023, 2023

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2023

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

SurvivalGAN: Generating Time-to-Event Data for Survival Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis.

[BibT_eX]

[DOI]

Han Xuanyuan

Dobrik Georgiev

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

System Neural Network: Evolution and Change Based Structure Learning.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis.

[BibT_eX]

[DOI]

Yutong Chen

Proc. IEEE, 2022

Guest Editorial: Non-Euclidean Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A deep graph neural network architecture for modelling spatio-temporal dynamics in resting-state functional MRI data.

[BibT_eX]

[DOI]

Richard A. I. Bethlehem

Nicola Toschi

Medical Image Anal., 2022

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2022

Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Multimodal and multicontrast image fusion via deep generative models.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth.

[BibT_eX]

[DOI]

Helena Coggan

Helena Andrés-Terré

Frontiers Big Data, 2022

A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation.

[BibT_eX]

[DOI]

Aarjav Jain

Challenger Mishra

CoRR, 2022

Learning Feynman Diagrams using Graph Neural Networks.

[BibT_eX]

[DOI]

Harrison Mitchell

Alexander Norcliffe

CoRR, 2022

Transductive Kernels for Gaussian Processes on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

Goal-Conditioned Reinforcement Learning in the Presence of an Adversary.

[BibT_eX]

[DOI]

Carlos Purves

CoRR, 2022

Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data.

[BibT_eX]

[DOI]

CoRR, 2022

Explaining the Explainers in Graph Neural Networks: a Comparative Study.

[BibT_eX]

[DOI]

CoRR, 2022

Structure-based Drug Design with Equivariant Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

Concept Embedding Models.

[BibT_eX]

[DOI]

Mateo Espinosa Zarlenga

Michelangelo Diligenti

CoRR, 2022

Encoding Concepts in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Classification of datasets with imputed missing values: does imputation quality matter?

[BibT_eX]

[DOI]

AIX-COVNET Collaboration

CoRR, 2022

Simplicial Attention Networks.

[BibT_eX]

[DOI]

Christopher Wei Jin Goh

CoRR, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.

[BibT_eX]

[DOI]

Lihao Liu

Zhening Huang

CoRR, 2022

Spatio-temporal Vision Transformer for Super-resolution Microscopy.

[BibT_eX]

[DOI]

Charles N. Christensen

CoRR, 2022

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.

[BibT_eX]

[DOI]

Balachandran Manavalan

Comput. Biol. Medicine, 2022

NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides.

[BibT_eX]

[DOI]

Balachandran Manavalan

Comput. Biol. Medicine, 2022

Adversarial generation of gene expression data.

[BibT_eX]

[DOI]

Bioinform., 2022

Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases.

[BibT_eX]

[DOI]

Bioinform., 2022

CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.

[BibT_eX]

[DOI]

Bioinform., 2022

You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration.

[BibT_eX]

[DOI]

Lihao Liu

Zhening Huang

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

APPROXIMATE EQUIVARIANCE SO(3) NEEDLET CONVOLUTION.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Sheaf Neural Networks with Connection Laplacians.

[BibT_eX]

[DOI]

Federico Barbero

Haitz Sáez de Ocáriz Borde

Michael M. Bronstein

Proceedings of the Topological, 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.

[BibT_eX]

[DOI]

Mateo Espinosa Zarlenga

Michelangelo Diligenti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Composite Feature Selection Using Deep Ensembles.

[BibT_eX]

[DOI]

Fergus Imrie

Alexander Norcliffe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Networks with Adaptive Readouts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks.

[BibT_eX]

[DOI]

Davide Buffelli

Fabio Vandin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs.

[BibT_eX]

[DOI]

Benjamin Paul Chamberlain

Francesco Di Giovanni

Michael M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust android malware detection based on subgraph network and denoising GCN network.

[BibT_eX]

[DOI]

Jinglun Zhao

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Well-Conditioned Spectral Transforms for Dynamic Graph Representation.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Distributed Representations of Graphs for Drug Pair Scoring.

[BibT_eX]

[DOI]

Paul Scherer

Proceedings of the Learning on Graphs Conference, 2022

Learning Graph Search Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Continuous Neural Algorithmic Planners.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

3D Infomax improves GNNs for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Attentional Meta-learners for Few-shot Polythetic Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Context Correlation Aware Network for Cardiac Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Do We Need Anisotropic Graph Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust and Efficient Uncertainty Aware Biosignal Classification via Early Exit Ensembles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Extending Logic Explained Networks to Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations.

[BibT_eX]

[DOI]

Shea Cardozo

Gabriel Islas Montero

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Poster: CFMAP: A Robust CPU Clock Fingerprint Model for Device Authentication.

[BibT_eX]

[DOI]

Renyu Pang

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes.

[BibT_eX]

[DOI]

Felix L. Opolka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Algorithmic Concept-Based Explainable Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Entropy-Based Logic Explanations of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Multiplex Social Contagion Dynamics Model to Shape and Discriminate D2D Content Dissemination.

[BibT_eX]

[DOI]

Marialisa Scatà

Aurelio La Corte

IEEE Trans. Cogn. Commun. Netw., 2021

A Fine-Grained IoT Data Access Control Scheme Combining Attribute-Based Encryption and Blockchain.

[BibT_eX]

[DOI]

Secur. Commun. Networks, 2021

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Arbitrary Scale Super-Resolution for Medical Images.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2021

Deep Graph Mapper: Seeing Graphs Through the Neural Lens.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis.

[BibT_eX]

[DOI]

Yutong Chen

CoRR, 2021

Heavy-tailed denoising score matching.

[BibT_eX]

[DOI]

CoRR, 2021

Spectral Transform Forms Scalable Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI.

[BibT_eX]

[DOI]

CoRR, 2021

Structure-aware generation of drug-like molecules.

[BibT_eX]

[DOI]

CoRR, 2021

An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Approximate Latent Force Model Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Modular Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Max Zhu

Jacob Moss

CoRR, 2021

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Dmitry Kazhdan

Vikash Singh

CoRR, 2021

Graph Representation Learning on Tissue-Specific Multi-Omics.

[BibT_eX]

[DOI]

CoRR, 2021

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm.

[BibT_eX]

[DOI]

CoRR, 2021

Attentional meta-learners are polythetic classifiers.

[BibT_eX]

[DOI]

CoRR, 2021

Neural message passing for joint paratope-epitope prediction.

[BibT_eX]

[DOI]

CoRR, 2021

MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Meta-learning using privileged information for dynamics.

[BibT_eX]

[DOI]

CoRR, 2021

Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.

[BibT_eX]

[DOI]

CoRR, 2021

Predicting Patient Outcomes with Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Analysis of single-cell RNA sequencing data based on autoencoders.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

Advantages of using graph databases to explore chromatin conformation capture experiments.

[BibT_eX]

[DOI]

BMC Bioinform., 2021

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks.

[BibT_eX]

[DOI]

Bioinform., 2021

Pathogenetic profiling of COVID-19 and SARS-like viruses.

[BibT_eX]

[DOI]

Zulkar Nain

Humayan Kabir Rana

Sheikh Mohammed Shariful Islam

Matthew A. Summers

Briefings Bioinform., 2021

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques.

[BibT_eX]

[DOI]

Md. Atiqur Rahman Ahad

IEEE Access, 2021

Neural Distance Embeddings for Biological Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weisfeiler and Lehman Go Cellular: CW Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Early Exit Ensembles for Uncertainty Quantification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2021

An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering.

[BibT_eX]

[DOI]

Nikola Zubic

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

How Framelets Enhance Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Directional Graph Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural ODE Processes.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

International Workshop On Application of Intelligent Technology in Security - AITS 2021.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

Resilience learning through self adaptation in digital twins of human-cyber-physical systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit.

[BibT_eX]

[DOI]

Emma Rocheteau

Stephanie L. Hyland

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

pietrobarbiero/digital-patient: Absolutno.

[BibT_eX]

[DOI]

Ramón Viñas Torné

Dataset, September, 2020

pietrobarbiero/computational-patient: Absolutno.

[BibT_eX]

[DOI]

Dataset, September, 2020

XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

A Novel Methodology for designing Policies in Mobile Crowdsensing Systems.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2020

Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2020

PECLIDES Neuro: A Personalisable Clinical Decision Support System for Neurological Diseases.

[BibT_eX]

[DOI]

Tamara Müller

Frontiers Artif. Intell., 2020

DADIM: A distance adjustment dynamic influence map model.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2020

MEME: Generating RNN Model Explanations via Model Extraction.

[BibT_eX]

[DOI]

CoRR, 2020

Using ontology embeddings for structural inductive bias in gene expression data analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Gene Regulatory Network Inference with Latent Force Models.

[BibT_eX]

[DOI]

Jacob Moss

CoRR, 2020

Incorporating network based protein complex discovery into automated model construction.

[BibT_eX]

[DOI]

CoRR, 2020

The Role of Isomorphism Classes in Multi-Relational Datasets.

[BibT_eX]

[DOI]

CoRR, 2020

Message Passing Neural Processes.

[BibT_eX]

[DOI]

CoRR, 2020

Learned Low Precision Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Graph representation forecasting of patient's medical conditions: towards a digital twin.

[BibT_eX]

[DOI]

Ramón Viñas Torné

CoRR, 2020

GRADE: Graph Dynamic Embedding.

[BibT_eX]

[DOI]

Jian Tang

CoRR, 2020

Computational Logic for Biomedicine and Neurosciences.

[BibT_eX]

[DOI]

CoRR, 2020

RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow.

[BibT_eX]

[DOI]

Samuel Glass

CoRR, 2020

Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks.

[BibT_eX]

[DOI]

Emma Rocheteau

Stephanie L. Hyland

CoRR, 2020

Uncertainty in Neural Relational Inference Trajectory Reconstruction.

[BibT_eX]

[DOI]

Vasileios Karavias

CoRR, 2020

A Multiscale Graph Convolutional Network Using Hierarchical Clustering.

[BibT_eX]

[DOI]

Alex Lipov

CoRR, 2020

Generalisable Relational Reasoning With Comparators in Low-Dimensional Manifolds.

[BibT_eX]

[DOI]

CoRR, 2020

The Computational Patient has Diabetes and a COVID.

[BibT_eX]

[DOI]

CoRR, 2020

tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder.

[BibT_eX]

[DOI]

Alex Campbell

CoRR, 2020

Kolmogorov Regularization for Link Prediction.

[BibT_eX]

[DOI]

Paris D. L. Flood

Ramón Viñas

CoRR, 2020

Neural Bipartite Matching.

[BibT_eX]

[DOI]

Dobrik Georgiev

CoRR, 2020

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images.

[BibT_eX]

[DOI]

Charles N. Christensen

Edward N. Ward

Clemens F. Kaminski

CoRR, 2020

Probabilistic Dual Network Architecture Search on Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Learning distributed representations of graphs with Geo2DR.

[BibT_eX]

[DOI]

Paul Scherer

CoRR, 2020

Towards a predictive spatio-temporal representation of brain data.

[BibT_eX]

[DOI]

CoRR, 2020

Adaptive Prediction Timing for Electronic Health Records.

[BibT_eX]

[DOI]

Ari Ercole

CoRR, 2020

Graph Convolutional Gaussian Processes For Link Prediction.

[BibT_eX]

[DOI]

Felix L. Opolka

CoRR, 2020

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways.

[BibT_eX]

[DOI]

CoRR, 2020

Latest advances in parallel, distributed, and network-based processing.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2020

Continuous authentication by free-text keystroke based on CNN and RNN.

[BibT_eX]

[DOI]

Comput. Secur., 2020

Bioinformatics methodologies for coeliac disease and its comorbidities.

[BibT_eX]

[DOI]

Eugenio Del Prete

Angelo M. Facchiano

Briefings Bioinform., 2020

Domain-Oriented Topic Discovery Based on Features Extraction and Topic Clustering.

[BibT_eX]

[DOI]

IEEE Access, 2020

Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing.

[BibT_eX]

[DOI]

IEEE Access, 2020

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks**To appear in the Proceedings of 2020 IEEE International Conference on Smart Computing (SMARTCOMP 2020).

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2020

On Second Order Behaviour in Augmented Neural ODEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Path Integral Based Convolution and Pooling for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Constraining Variational Inference with Geometric Jensen-Shannon Divergence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Principal Neighbourhood Aggregation for Graph Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library.

[BibT_eX]

[DOI]

Dmitry Kazhdan

Zohreh Shams

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Arbitrary Scale Super-Resolution for Brain MRI Images.

[BibT_eX]

[DOI]

Chuan Tan

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Abstract Diagrammatic Reasoning with Multiplex Graph Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Resolution of Blockchain Conflicts through Heuristics-based Game Theory and Multilayer Network Modeling.

[BibT_eX]

[DOI]

Damiano Di Francesco Maesa

Sajal K. Das

Proceedings of the ICDCN 2020: 21st International Conference on Distributed Computing and Networking, 2020

A novel Graph Attention Network Architecture for modeling multimodal brain connectivity.

[BibT_eX]

[DOI]

Alexandru-Catalin Filip

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Unsupervised stratification in neuroimaging through deep latent embeddings.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A deep spatiotemporal graph learning architecture for brain connectivity analysis.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Now You See Me (CME): Concept-based Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Proximal Distilled Evolutionary Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Social dynamics modeling of chrono-nutrition.

[BibT_eX]

[DOI]

Mogana Darshini Ganggayah

PLoS Comput. Biol., 2019

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.

[BibT_eX]

[DOI]

NeuroImage, 2019

Predicting factors for survival of breast cancer patients using machine learning techniques.

[BibT_eX]

[DOI]

Nur Aishah Taib

Yip Cheng Har

Sarinder Kaur Dhillon

BMC Medical Informatics Decis. Mak., 2019

Personalisable Clinical Decision Support System.

[BibT_eX]

[DOI]

Tamara Müller

ERCIM News, 2019

Decoupling feature propagation from the design of graph auto-encoders.

[BibT_eX]

[DOI]

CoRR, 2019

Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning.

[BibT_eX]

[DOI]

Ari Ercole

CoRR, 2019

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing.

[BibT_eX]

[DOI]

Ari Ercole

CoRR, 2019

Co-Attentive Cross-Modal Deep Learning for Medical Evidence Synthesis and Decision Making.

[BibT_eX]

[DOI]

Devin Taylor

CoRR, 2019

Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction.

[BibT_eX]

[DOI]

Vikash Singh

CoRR, 2019

Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders.

[BibT_eX]

[DOI]

Helena Andrés-Terré

CoRR, 2019

Factorised Neural Relational Inference for Multi-Interaction Systems.

[BibT_eX]

[DOI]

CoRR, 2019

ncRNA Classification with Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

On Graph Classification Networks, Datasets and Baselines.

[BibT_eX]

[DOI]

Enxhell Luzhnica

CoRR, 2019

Drug-Drug Adverse Effect Prediction with Graph Co-Attention.

[BibT_eX]

[DOI]

CoRR, 2019

Spatio-Temporal Deep Graph Infomax.

[BibT_eX]

[DOI]

CoRR, 2019

Clique pooling for graph classification.

[BibT_eX]

[DOI]

Enxhell Luzhnica

CoRR, 2019

Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat.

[BibT_eX]

[DOI]

CoRR, 2019

ChronoMID - Cross-Modal Neural Networks for 3-D Temporal Medical Imaging Data.

[BibT_eX]

[DOI]

Alexander G. Rakowski

Enrico Dall'Ara

CoRR, 2019

ASSCA: API sequence and statistics features combined architecture for malware detection.

[BibT_eX]

[DOI]

Comput. Networks, 2019

Genetic effects of welding fumes on the development of respiratory system diseases.

[BibT_eX]

[DOI]

Humayan Kabir Rana

Mst. Rashida Akhtar

M. Babul Islam

Mohammad Boshir Ahmed

Comput. Biol. Medicine, 2019

GenHap: a novel computational method based on genetic algorithms for haplotype assembly.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders.

[BibT_eX]

[DOI]

IEEE Access, 2019

VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Lesion focused super-resolution.

[BibT_eX]

[DOI]

Guang Yang

Proceedings of the Medical Imaging 2019: Image Processing, 2019

How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach.

[BibT_eX]

[DOI]

Guang Yang

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Machine Learning Tool for Interpreting Differences in Cognition Using Brain Features.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Deep Graph Infomax.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Improving QoE in Multi-layer Social Sensing: A Cognitive Architecture and Game Theoretic Model.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Social Sensing, 2019

NeoHiC: A Web Application for the Analysis of Hi-C Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Dynamic Neural Network Channel Execution for Efficient Training.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces.

[BibT_eX]

[DOI]

Victor Prokhorov

Mohammad Taher Pilehvar

Dimitri Kartsaklis

Meenakshisundaram Kandhavelu

Nigel Collier

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Computational Models for Trapping Ebola Virus Using Engineered Bacteria.

[BibT_eX]

[DOI]

Daniel P. Martins

Michael Taynnan Barros

Massimiliano Pierobon

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Guest Editors' Introduction to the Special Section on the 14th International Conference on Computational Methods in Systems Biology (CMSB 2016).

[BibT_eX]

[DOI]

Ezio Bartocci

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Stochastic Channel Switching of Frequency-Encoded Signals in Molecular Communication Networks.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2018

Modelling trait dependent speciation with Approximate Bayesian Computation.

[BibT_eX]

[DOI]

Krzysztof Bartoszek

CoRR, 2018

Structure-Based Networks for Drug Validation.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Sparse Hierarchical Graph Classifiers.

[BibT_eX]

[DOI]

CoRR, 2018

Introducing Curvature to the Label Space.

[BibT_eX]

[DOI]

Conor Sheehan

CoRR, 2018

Multi-omic analysis of signalling factors in inflammatory comorbidities.

[BibT_eX]

[DOI]

Hui Xiao

Krzysztof Bartoszek

BMC Bioinform., 2018

STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

A study on multi-omic oscillations in Escherichia coli metabolic networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Parapred: antibody paratope prediction using convolutional and recurrent neural networks.

[BibT_eX]

[DOI]

Bioinform., 2018

Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling.

[BibT_eX]

[DOI]

Briefings Bioinform., 2018

Parallel swarm intelligence strategies for large-scale clustering based on MapReduce with application to epigenetics of aging.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data.

[BibT_eX]

[DOI]

Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018

A Logical Framework for Modelling Breast Cancer Progression.

[BibT_eX]

[DOI]

Proceedings of the Molecular Logic and Computational Synthetic Biology, 2018

Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Automatic Inference of Cross-Modal Connection Topologies for X-CNNs.

[BibT_eX]

[DOI]

Laurynas Karazija

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Terminal Sensitive Data Protection by Adjusting Access Time Bidirectionally and Automatically.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

High Performance Computing for Haplotyping: Models and Platforms.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Investigating Diagrammatic Reasoning with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Diagrammatic Representation and Inference, 2018

Multi-omic Network Regression: Methodology, Tool and Case Study.

[BibT_eX]

[DOI]

Vandan Parmar

Proceedings of the Complex Networks and Their Applications VII, 2018

Neural Models for Brain Networks Connectivity Analysis.

[BibT_eX]

[DOI]

Razvan Kusztos

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017

NuChart-II: The road to a fast and scalable tool for Hi-C data analysis.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2017

Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders.

[BibT_eX]

[DOI]

Momchil Peychev

CoRR, 2017

Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data.

[BibT_eX]

[DOI]

CoRR, 2017

XFlow: 1D-2D Cross-modal Deep Neural Networks for Audiovisual Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Rare Word Representations using Semantic Bridging.

[BibT_eX]

[DOI]

Victor Prokhorov

Mohammad Taher Pilehvar

Dimitri Kartsaklis

Nigel Collier

CoRR, 2017

DrugClust: A machine learning approach for drugs side effects prediction.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2017

Making life difficult for Clostridium difficile: augmenting the pathogen's metabolic model with transcriptomic and codon usage data for better therapeutic target characterization.

[BibT_eX]

[DOI]

Sara Saheb Kashaf

Claudio Angione

BMC Syst. Biol., 2017

Opportunities for community awareness platforms in personal genomics and bioinformatics education.

[BibT_eX]

[DOI]

Lucia Bianchi

Briefings Bioinform., 2017

A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2017

Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation.

[BibT_eX]

[DOI]

Thomas Brouwer

Jes Frellsen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances.

[BibT_eX]

[DOI]

Proceedings of the Parallel Computing is Everywhere, 2017

A big-data layered architecture for analyzing molecular communications systems in blood vessels.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

Hierarchical Block Matrix Approach for Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Bayesian Hybrid Matrix Factorisation for Data Integration.

[BibT_eX]

[DOI]

Thomas Brouwer

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Distance-Based Opportunistic Mobile Data Offloading.

[BibT_eX]

[DOI]

Pan Hui

Sensors, 2016

Computational Modeling, Formal Analysis, and Tools for Systems Biology.

[BibT_eX]

[DOI]

Ezio Bartocci

PLoS Comput. Biol., 2016

Applications of molecular communications to medicine: A survey.

[BibT_eX]

[DOI]

Nano Commun. Networks, 2016

Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation.

[BibT_eX]

[DOI]

Thomas Brouwer

Jes Frellsen

CoRR, 2016

Molecular multiplex network inference using Gaussian mixture hidden Markov models.

[BibT_eX]

[DOI]

J. Complex Networks, 2016

Animal inference on human mitochondrial diseases.

[BibT_eX]

[DOI]

Francesco Nardi

Francesco Frati

Comput. Biol. Chem., 2016

Multiplex methods provide effective integration of multi-omic data in genome-scale models.

[BibT_eX]

[DOI]

Claudio Angione

Maxwell Conway

BMC Bioinform., 2016

Muxstep: an open-source C ++ multiplex HMM library for making inferences on multiple data types.

[BibT_eX]

[DOI]

Bioinform., 2016

Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration.

[BibT_eX]

[DOI]

Yoli Shavit

Barnabas James Walker

Bioinform., 2016

How computer science can help in understanding the 3D genome architecture.

[BibT_eX]

[DOI]

Briefings Bioinform., 2016

Systems medicine of inflammaging.

[BibT_eX]

[DOI]

Gastone C. Castellani

Giulia Menichetti

Paolo Garagnani

Maria Giulia Bacalini

Briefings Bioinform., 2016

X-CNN: Cross-modal convolutional neural networks for sparse datasets.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Warped Matrix Factorisation for Multi-view Data Integration.

[BibT_eX]

[DOI]

Oliver Stegle

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

MolComML: The Molecular Communication Markup Language.

[BibT_eX]

[DOI]

Eduard Alarcón

Raul Gomez Cid-Fuentes

Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

Channel modelling of molecular communications across blood vessels and nerves.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Multilayer Data and Document Stratification for Comorbidity Analysis.

[BibT_eX]

[DOI]

Kevin Heffernan

Simone Teufel

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2016

2015

Analysis and design of molecular machines.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2015

Modelling Circulating Tumour Cells for Personalised Survival Prediction in Metastatic Breast Cancer.

[BibT_eX]

[DOI]

Gianluca Ascolani

Annalisa Occhipinti

José Afonso Guerra-Assunção

PLoS Comput. Biol., 2015

The BioMart community portal: an innovative alternative to large, centralized data repositories.

[BibT_eX]

[DOI]

Charalambos Chrysostomou

Julio Fernandez-Banet

Jose M. Garcia-Manteiga

David M. Goodstein

Kristian A. Gray

Nabihoudine Ibouniyamine

Nelson Ndegwa

Céline Noirot

Christian Perez-Llamas

Nucleic Acids Res., 2015

Comorbidity networks: beyond disease correlations.

[BibT_eX]

[DOI]

Enrico Capobianco

J. Complex Networks, 2015

Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer.

[BibT_eX]

[DOI]

Haoming Xu

Comput. Biol. Chem., 2015

CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks.

[BibT_eX]

[DOI]

Haoming Xu

Bioinform., 2015

MeDuSa: a multi-draft based scaffolder.

[BibT_eX]

[DOI]

Bioinform., 2015

DAPPER: a data-mining resource for protein-protein interactions.

[BibT_eX]

[DOI]

BioData Min., 2015

Advances in Artificial Life: Synthesis and Simulation of Living Systems: Editorial.

[BibT_eX]

[DOI]

Artif. Life, 2015

Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II.

[BibT_eX]

[DOI]

Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

Multi omic oscillations in bacterial pathways.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Privacy Information Security Classification and Comparison between the Westerner and Chinese.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Identification, 2015

NuchaRt: Embedding High-Level Parallel Computing in R for Augmented Hi-C Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

Bioinformatics Challenges and Potentialities in Studying Extreme Environments.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

2014

Directional communication with movement prediction in mobile wireless sensor networks.

[BibT_eX]

[DOI]

Pers. Ubiquitous Comput., 2014

Forward and Reverse coding for chromosome transfer in bacterial nanonetworks.

[BibT_eX]

[DOI]

Vitaly Petrov

Nano Commun. Networks, 2014

comoR: a software for disease comorbidity risk assessment.

[BibT_eX]

[DOI]

J. Clin. Bioinform., 2014

Exploring the complexity of pathway-drug relationships using latent Dirichlet allocation.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2014

Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

FisHiCal: an R package for iterative FISH-based calibration of Hi-C data.

[BibT_eX]

[DOI]

Yoli Shavit

Fiona Kathryn Hamey

Bioinform., 2014

A Molecular Communication System in Blood Vessels for Tumor Detection.

[BibT_eX]

[DOI]

Proceedings of ACM The First Annual International Conference on Nanoscale Computing and Communication, 2014

Nodes Density Adaptive Opportunistic Forwarding Protocol for Intermittently Connected Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Identification, 2014

The Bio-Inspired and Social Evolution of Node and Data in a Multilayer Network.

[BibT_eX]

[DOI]

Marialisa Scatà

Evelina Giacchi

Aurelio La Corte

Proceedings of the DCNET 2014, 2014

Who Wrote This? Textual Modeling with Authorship Attribution in Big Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Computing Longevity: Insights from Controls.

[BibT_eX]

[DOI]

Proceedings of the Formal Methods in Macro-Biology - First International Conference, 2014

NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Improving Literature-Based Discovery with Advanced Text Mining.

[BibT_eX]

[DOI]

Anna Korhonen

Yufan Guo

Simon Baker

Meliha Yetisgen-Yildiz

Ulla Stenius

Masashi Narita

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Applications of Network-based Survival Analysis Methods for Pathways Detection in Cancer.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Automated Detection of Fluorescent Probes in Molecular Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Drug Repurposing by Optimizing Mining of Genes Target Association.

[BibT_eX]

[DOI]

Aicha Boutorh

Ahmed Guessoum

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

Endovascular Mobile Sensor Network for Detecting Circulating Tumoral Cells.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Body Area Networks, 2014

2013

Pareto Optimality in Organelle Energy Metabolism Analysis.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

A review of experimental opportunities for molecular communication.

[BibT_eX]

[DOI]

Nano Commun. Networks, 2013

Design and strain selection criteria for bacterial communication networks.

[BibT_eX]

[DOI]

Nano Commun. Networks, 2013

A Location Prediction Algorithm for Mobile Communications Using Directional Antennas.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2013

CytoHiC: a cytoscape plugin for visual comparison of Hi-C networks.

[BibT_eX]

[DOI]

Yoli Shavit

Bioinform., 2013

It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2013

Speeding up the transition to collective awareness.

[BibT_eX]

[DOI]

Luce Jacovella

Proceedings of the IEEE International Conference on Communications, 2013

Multi objective design for bacterial communication networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2013

Pareto epsilon-dominance and identifiable solutions for BioCAD modeling.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Design Automation Conference 2013, 2013

Comparing Viral (HIV) and Bacterial (Staphylococcus aureus) Infection of the Bone Tissue.

[BibT_eX]

Luciano Milanesi

Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

Methodologies for Systems Medicine: Time to Join the Forces of Bioengineering and Bioinformatics.

[BibT_eX]

Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012

Multiple Verification in Complex Biological Systems: The Bone Remodelling Case Study.

[BibT_eX]

[DOI]

Trans. Comp. Sys. Biology, 2012

Multilevel Computational Modeling and Quantitative Analysis of Bone Remodeling.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Opportunistic routing through conjugation in bacteria communication nanonetwork.

[BibT_eX]

[DOI]

Nano Commun. Networks, 2012

How to Compute with Metabolism in Bacteria?

[BibT_eX]

[DOI]

Claudio Angione

Giuseppe Nicosia

ERCIM News, 2012

Disease processes as hybrid dynamical systems

[BibT_eX]

[DOI]

Emanuela Merelli

Proceedings of the Proceedings First International Workshop on Hybrid Systems and Biology, 2012

An adaptive directional MAC protocol for ad hoc networks using directional antennas.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2012

Modelling osteomyelitis.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Robust design of microbial strains.

[BibT_eX]

[DOI]

Bioinform., 2012

Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods in Systems Biology, 2012

Computing with Metabolic Machines.

[BibT_eX]

[DOI]

Proceedings of the Turing-100, 2012

2011

Methodological Bridges for Multi-Level Systems.

[BibT_eX]

[DOI]

Emanuela Merelli

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

A Combined Process Algebraic and Stochastic Approach to Bone Remodeling.

[BibT_eX]

[DOI]

Proceedings of the Second International Workshop on Interactions between Computer Science and Biology, 2011

Information dynamics algorithm for detecting communities in networks

[BibT_eX]

[DOI]

CoRR, 2011

Multiple verification in computational modeling of bone pathologies

[BibT_eX]

[DOI]

Emanuela Merelli

Proceedings of the Proceedings Third International Workshop on Computational Models for Cell Processes, 2011

Intra-City Urban Network and Traffic Flow Analysis from GPS Mobility Trace

[BibT_eX]

[DOI]

CoRR, 2011

Biological principles for future internet architecture design.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2011

Message from the workshop on the future of social networking.

[BibT_eX]

[DOI]

Comput. Commun. Rev., 2011

Parallel Hematopoietic Stem Cell Division Rate Estimation Using an Agent-Based Model on the Grid.

[BibT_eX]

[DOI]

Elizabeth van der Wath

Proceedings of the 19th International Euromicro Conference on Parallel, 2011

Evolving Model of Opportunistic Routing in Delay Tolerant Networks.

[BibT_eX]

[DOI]

Pan Hui

Proceedings of the Seventh International Conference on Mobile Ad-hoc and Sensor Networks, 2011

Unity in Diversity: Phylogenetic-inspired Techniques for Reverse Engineering and Detection of Malware Families.

[BibT_eX]

[DOI]

Wei Ming Khoo

Proceedings of the First SysSec Workshop 2011, 2011

Design of robust metabolic pathways.

[BibT_eX]

[DOI]

Renato Umeton

Giovanni Stracquadanio

Proceedings of the 48th Design Automation Conference, 2011

Osteoporosis: a multiscale modeling viewpoint.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods in Systems Biology, 9th International Conference, 2011

2010

Detection Probability Estimation of Directional Antennas and Omni-Directional Antennas.

[BibT_eX]

[DOI]

Wirel. Pers. Commun., 2010

An integrated modelling approach for R5-X4 mutation and HAART therapy assessment.

[BibT_eX]

[DOI]

Anil Sorathiya

Andrea Bracciali

Swarm Intell., 2010

Statistical mechanics of rumour spreading in network communities.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2010

Risk perception and disease spread on social networks.

[BibT_eX]

[DOI]

Stephan Kitchovitch

Proceedings of the International Conference on Computational Science, 2010

Cognitive network dynamics in chatlines.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2010

Biologically inspired networking [Guest Editorial].

[BibT_eX]

[DOI]

Dinesh C. Verma

IEEE Netw., 2010

Formal Synthetic Immunology.

[BibT_eX]

[DOI]

Marco Aldinucci

Andrea Bracciali

ERCIM News, 2010

Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy.

[BibT_eX]

[DOI]

Anil Sorathiya

Andrea Bracciali

BMC Bioinform., 2010

StochKit-FF: Efficient Systems Biology on Multicore Architectures.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2010 Parallel Processing Workshops, 2010

Generic spaced DNA motif discovery using Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A New Approach for Epileptic Seizure Detection using Extreme Learning Machine.

[BibT_eX]

Yuedong Song

Sarita Azad

Proceedings of the BIOSIGNALS 2010, 2010

Analysis and Optimization of C3 Photosynthetic Carbon Metabolism.

[BibT_eX]

[DOI]

Giovanni Stracquadanio

Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009

Minimizing Detection Probability Routing in Ad Hoc Networks Using Directional Antennas.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2009

Clinical bioinformatics for complex disorders: a schizophrenia case study.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Trends in modeling Biomedical Complex Systems.

[BibT_eX]

[DOI]

Luciano Milanesi

Paolo Romano

Gastone C. Castellani

Daniel Remondini

BMC Bioinform., 2009

Bio-inspired multi-agent data harvesting in a proactive urban monitoring environment.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2009

Substitution Matrices and Mutual Information Approaches to Modeling Evolution.

[BibT_eX]

[DOI]

Stephan Kitchovitch

Yuedong Song

Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Identification of structurally important amino acids in proteins by graph-theoretic measures.

[BibT_eX]

[DOI]

Tammy M. K. Cheng

Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

Using Mutual Information and Models of Evolution for Improved Pattern Petection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conferences on Bioinformatics, 2009

Mathematical Model of HIV Superinfection and Comparative Drug Therapy.

[BibT_eX]

[DOI]

Anil Sorathiya

Luca Sguanci

Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data.

[BibT_eX]

[DOI]

Shengkun Xie

Anna T. Lawniczak

Proceedings of the Artificial Neural Networks, 2009

Information Processing and Timing Mechanisms in Vision.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Size Matters: Variation in Personal Network Size, Personality and Effect on Information Transmission.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

Formal Analysis of the Genetic Toggle.

[BibT_eX]

[DOI]

Giampaolo Bella

Proceedings of the Computational Methods in Systems Biology, 7th International Conference, 2009

On optimising personal network size to manage information flow.

[BibT_eX]

[DOI]

Proceedings of the Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, 2009

Fast centrality approximation in modular networks.

[BibT_eX]

[DOI]

Shu Yan Chan

Ian X. Y. Leung

Proceedings of the Proceeding of the ACM First International Workshop on Complex Networks Meet Information & Knowledge Management, 2009

Combining Replicates and Nearby Species Data: A Bayesian Approach.

[BibT_eX]

[DOI]

Claudia Angelini

Italia De Feis

Viet Anh Nguyen

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008

Prediction by Graph Theoretic Measures of Structural Effects in Proteins Arising from Non-Synonymous Single Nucleotide Polymorphisms.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

Analysis of plasmid genes by phylogenetic profiling and visualization of homology relationships using Blast2Network.

[BibT_eX]

[DOI]

BMC Bioinform., 2008

Current trends in the bioinformatic sequence analysis of metabolic pathways in prokaryotes.

[BibT_eX]

[DOI]

Matteo Brilli

Renato Fani

José Fernando Ferreira Mendes

Briefings Bioinform., 2008

Forensic genomics: kin privacy, driftnets and other open questions.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Workshop on Privacy in the Electronic Society, 2008

Social Networking for Pervasive Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2008

Bayesian Inference on Hidden Knowledge in High-Throughput Molecular Biology Data.

[BibT_eX]

[DOI]

Viet Anh Nguyen

Zdena Koukolíková-Nicola

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Inference on Missing Values in Genetic Networks Using High-Throughput Data.

[BibT_eX]

[DOI]

Zdena Koukolíková-Nicola

Proceedings of the Evolutionary Computation, 2008

Identity Privacy Protection by Delayed Transmission in Pocket Switched Networks.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE/IPIP International Conference on Embedded and Ubiquitous Computing (EUC 2008), 2008

A Stochastic Single Cell Based Model of BrdU Measured Hematopoietic Stem Cell Kinetics.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods in Systems Biology, 6th International Conference, 2008

On low dimensional random projections and similarity search.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Searching for Glycomics Role in Stem Cell Development.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2008

Bayesian Phylogeny on Grid.

[BibT_eX]

[DOI]

Elizabeth van der Wath

Proceedings of the Bioinformatics Research and Development, 2008

Combining Molecular and Physiological Data of Complex Disorders.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Development, 2008

Topological Metrics in Blast Data Mining: Plasmid and Nitrogen-Fixing Proteins Case Studies.

[BibT_eX]

[DOI]

Matteo Brilli

Renato Fani

Proceedings of the Bioinformatics Research and Development, 2008

A Novel Mobility Model from a Heterogeneous Military MANET Trace.

[BibT_eX]

[DOI]

Proceedings of the Ad-hoc, Mobile and Wireless Networks, 7th International Conference, 2008

A Stochastic Multi-agent Model of Stem Cell Proliferation.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2008

Contact Network Modeling of Flu Epidemics.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2008

2007

Bottleneck Genes and Community Structure in the Cell Cycle Network of <i>S. pombe</i>.

[BibT_eX]

[DOI]

Cécile Caretta-Cartozo

Paolo De Los Rios

Francesco Piazza

PLoS Comput. Biol., 2007

MotifScorer: using a compendium of microarrays to identify regulatory motifs.

[BibT_eX]

[DOI]

Matteo Brilli

Renato Fani

Bioinform., 2007

Forensic DNA and bioinformatics.

[BibT_eX]

[DOI]

Lucia Bianchi

Briefings Bioinform., 2007

Identifying Regulatory Sites Using Neighborhood Species.

[BibT_eX]

[DOI]

Claudia Angelini

Luisa Cutillo

Italia De Feis

Proceedings of the Evolutionary Computation, 2007

Beta Random Projection.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Communication, 2007

Wavelet-Domain Statistics of Packet Switching Networks Near Traffic Congestion.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Communication, 2007

Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Communication, 2007

Human Heuristics for Autonomous Agents.

[BibT_eX]

[DOI]

Andrea Guazzini

Proceedings of the Bio-Inspired Computing and Communication, 2007

2006

A novel algorithm and web-based tool for comparing two alternative phylogenetic trees.

[BibT_eX]

[DOI]

Tom M. W. Nye

Walter R. Gilks

Bioinform., 2006

Keyword Searching in Structured Overlays Via Content Distance Addressing.

[BibT_eX]

[DOI]

Proceedings of the Databases, 2006

Modeling Evolutionary Dynamics of HIV Infection.

[BibT_eX]

[DOI]

Luca Sguanci

Proceedings of the Computational Methods in Systems Biology, International Conference, 2006

The Influence of Risk Perception in Epidemics: A Cellular Agent Model.

[BibT_eX]

[DOI]

Luca Sguanci

Proceedings of the Cellular Automata, 2006

2005

Keyword Searching in Hypercubic Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing (P2P 2005), 31 August, 2005

2004

Identification of DNA regulatory motifs using Bayesian variable selection.

[BibT_eX]

[DOI]

Mahlet G. Tadesse

Marina Vannucci

Bioinform., 2004

2003

Wavelets in bioinformatics and computational biology: state of art and perspectives.

[BibT_eX]

[DOI]

Bioinform., 2003

Dimensionality and Dependence Problems in Statistical Genomics.

[BibT_eX]

[DOI]

Briefings Bioinform., 2003

2000

Wavelet change-point prediction of transmembrane proteins.

[BibT_eX]

[DOI]

Marina Vannucci

Bioinform., 2000

Finding pathogenicity islands and gene transfer events in genome data.

[BibT_eX]

[DOI]