Annalisa Barla

According to our database, Annalisa Barla authored at least 50 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease.

Rosanna Turrisi, Margherita Squillario, Giulia Abate, Daniela Letizia Uberti, Annalisa Barla

IEEE J. Biomed. Health Informatics, April, 2024

Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks.

Daniele Pretolesi, Davide Garbarino, Daniele Giampaoli, Andrea Vian, Annalisa Barla

IEEE Trans. Emerg. Top. Comput., 2024

Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices.

Rosanna Turrisi, Alessandro Verri, Annalisa Barla

Frontiers Comput. Neurosci., 2024

AI-driven big web redesign: two case studies in Italian universities.

Andrea Vian, Daniele Pretolesi, Lucia Rampino, Annalisa Barla

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023

The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection.

Rosanna Turrisi, Alessandro Verri, Annalisa Barla

CoRR, 2023

2022

Where Do We Stand in Regularization for Life Science Studies?

Veronica Tozzo, Chloé-Agathe Azencott, Samuele Fiorini, Emanuele Fava, Andrea Trucco, Annalisa Barla

J. Comput. Biol., 2022

2021

Predicting Tennis Match Outcomes with Network Analysis and Machine Learning.

Firas Bayram, Davide Garbarino, Annalisa Barla

Proceedings of the SOFSEM 2021: Theory and Practice of Computer Science, 2021

Attributed Graphettes-Based Preterm Infants Motion Analysis.

Davide Garbarino, Matteo Moro, Chiara Tacchino, Paolo Moretti, Maura Casadio, Francesca Odone, Annalisa Barla

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

A Robust Method for Statistical Testing of Empirical Power-Law Distributions.

Davide Garbarino, Veronica Tozzo, Andrea Vian, Annalisa Barla

Proceedings of the Algorithms and Models for the Web Graph - 17th International Workshop, 2020

Missing Values in Multiple Joint Inference of Gaussian Graphical Models.

Veronica Tozzo, Davide Garbarino, Annalisa Barla

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Temporal Pattern Detection in Time-Varying Graphical Models.

Federico Tomasi, Veronica Tozzo, Annalisa Barla

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Multi-parameters Model Selection for Network Inference.

Veronica Tozzo, Annalisa Barla

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

Data-Driven Continuous Assessment of Frailty in Older People.

Chiara Martini, Annalisa Barla, Francesca Odone, Alessandro Verri, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto

Frontiers Digit. Humanit., 2018

Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions.

Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla

CoRR, 2018

A Visual Computing Approach for Estimating the Motility Index in the Frail Elder.

Chiara Martini, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto, Alessandro Verri, Francesca Odone

Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy.

Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili

Proceedings of the Machine Learning for Healthcare Conference, 2018

Visual Computing Methods for Assessing the Well-Being of Older People.

Chiara Martini, Francesca Odone, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alessandro Verri, Alberto Cella, Alberto Pilotto, Gian Andrea Rollandi

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings.

Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla

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

2017

Temporal prediction of multiple sclerosis evolution from patient-centered outcomes.

Samuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto

Proceedings of the Machine Learning for Health Care Conference, 2017

Hey there's DALILA: a DictionAry LearnIng LibrAry.

Veronica Tozzo, Vanessa D'Amario, Annalisa Barla

Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

Data-driven strategies for robust forecast of continuous glucose monitoring time-series.

Samuele Fiorini, Chiara Martini, Davide Malpassi, Renzo Cordera, Davide Maggi, Alessandro Verri, Annalisa Barla

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Cancer Mutational Signatures Identification with Sparse Dictionary Learning.

Veronica Tozzo, Annalisa Barla

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

Icing: Large-Scale Inference of Immunoglobulin Clonotypes.

Federico Tomasi, Margherita Squillario, Alessandro Verri, Davide Bagnara, Annalisa Barla

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

Adenine: A HPC-Oriented Tool for Biological Data Exploration.

Samuele Fiorini, Federico Tomasi, Margherita Squillario, Annalisa Barla

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

2016

A temporal model for multiple sclerosis course evolution.

Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto, Alessandro Verri, Annalisa Barla

CoRR, 2016

PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data.

Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla

Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

2015

A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes.

Samuele Fiorini, Alessandro Verri, Andrea Tacchino, Michela Ponzio, Giampaolo Brichetto, Annalisa Barla

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Alternating Proximal Regularized Dictionary Learning.

Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla

Neural Comput., 2014

2013

Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.

Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri

Source Code Biol. Medicine, 2013

A dictionary learning based method for aCGH segmentation.

Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Dictionary learning improves subtyping of breast cancer aCGH data.

Salvatore Masecchia, Annalisa Barla, Saverio Salzo, Alessandro Verri

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization.

Margherita Squillario, Grzegorz Zycinski, Annalisa Barla, Alessandro Verri

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012

Multi-output learning via spectral filtering.

Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri

Mach. Learn., 2012

Discriminant functional gene groups identification with machine learning and prior knowledge.

Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

SVS: Data and knowledge integration in computational biology.

Grzegorz Zycinski, Annalisa Barla, Alessandro Verri

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A Machine Learning Pipeline for Discriminant Pathways Identification.

Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010

Vector Field Learning via Spectral Filtering.

Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning how to grasp objects.

Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents.

Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini

Proceedings of the Image Analysis and Processing, 2009

2008

Algebraic stability indicators for ranked lists in molecular profiling.

Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello

Bioinform., 2008

Machine learning methods for predictive proteomics.

Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello

Briefings Bioinform., 2008

Vector valued regression for iron overload estimation.

Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A method for robust variable selection with significance assessment.

Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Alessandro Verri

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2006

Proteome Profiling without Selection Bias.

Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Building kernels from binary strings for image matching.

Francesca Odone, Annalisa Barla, Alessandro Verri

IEEE Trans. Image Process., 2005

2003

Histogram intersection kernel for image classification.

Annalisa Barla, Francesca Odone, Alessandro Verri

Proceedings of the 2003 International Conference on Image Processing, 2003

Old fashioned state-of-the-art image classification.

Annalisa Barla, Francesca Odone, Alessandro Verri

Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002

Image Kernels.

Annalisa Barla, Emanuele Franceschi, Francesca Odone, Alessandro Verri

Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Kernel-Based 3D Object Representation.

Annalisa Barla, Francesca Odone

Proceedings of the Artificial Neural Networks, 2002

Hausdorff Kernel for 3D Object Acquisition and Detection.

Annalisa Barla, Francesca Odone, Alessandro Verri

Proceedings of the Computer Vision, 2002