Morteza Haghir Chehreghani

Hampus Gummesson Svensson

IEEE Trans. Intell. Transp. Syst., August, 2024

Utilizing reinforcement learning for de novo drug design.

[BibT_eX]

[DOI]

Christian Tyrchan

Mach. Learn., July, 2024

Correlation Clustering with Active Learning of Pairwise Similarities.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

A unified active learning framework for annotating graph data for regression tasks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Sample-Efficient Curriculum Reinforcement Learning for Complex Reward Functions.

[BibT_eX]

[DOI]

Hampus Gummesson Svensson

CoRR, 2024

Diversity-Aware Reinforcement Learning for de novo Drug Design.

[BibT_eX]

[DOI]

Christian Tyrchan

CoRR, 2024

A GREAT Architecture for Edge-Based Graph Problems Like TSP.

[BibT_eX]

[DOI]

Attila Lischka

Jiaming Wu

CoRR, 2024

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP.

[BibT_eX]

[DOI]

Attila Lischka

Jiaming Wu

Rafael Basso

CoRR, 2024

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward.

[BibT_eX]

[DOI]

Deepthi Pathare

Leo Laine

CoRR, 2024

Tree Ensembles for Contextual Bandits.

[BibT_eX]

[DOI]

Hannes Nilsson

Rikard Johansson

CoRR, 2024

Effective Acquisition Functions for Active Correlation Clustering.

[BibT_eX]

[DOI]

CoRR, 2024

Hierarchical Correlation Clustering and Tree Preserving Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification.

[BibT_eX]

[DOI]

Fatemeh Sadat Tabatabaei Far

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction.

[BibT_eX]

[DOI]

Ali Samadzadeh

Ali Javadi

Ahmad Nickabadi

Neural Process. Lett., December, 2023

Shift of pairwise similarities for data clustering.

[BibT_eX]

[DOI]

Mach. Learn., June, 2023

A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories.

[BibT_eX]

[DOI]

Andreas Demetriou

Henrik Alfsvåg

SN Comput. Sci., May, 2023

Do Kernel and Neural Embeddings Help in Training and Generalization?

[BibT_eX]

[DOI]

Emilio Jorge

Neural Process. Lett., April, 2023

Online learning of energy consumption for navigation of electric vehicles.

[BibT_eX]

[DOI]

Artif. Intell., April, 2023

Online learning of network bottlenecks via minimax paths.

[BibT_eX]

[DOI]

Mach. Learn., January, 2023

A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation.

[BibT_eX]

[DOI]

Jack Sandberg

CoRR, 2023

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs.

[BibT_eX]

[DOI]

Ebrahim Balouji

Jonas Sjöblom

Nikolce Murgovski

CoRR, 2023

Active Learning with Positive and Negative Pairwise Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Online Decision Tree Learning with Active Feature Acquisition.

[BibT_eX]

[DOI]

Ziyu Ye

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework.

[BibT_eX]

[DOI]

Hamid Krim

Proceedings of the International Conference on Machine Learning, 2023

Batch Mode Deep Active Learning for Regression on Graph Data.

[BibT_eX]

[DOI]

Peter Samoaa

Philipp Leitner

Proceedings of the IEEE International Conference on Big Data, 2023

Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement Learning.

[BibT_eX]

[DOI]

Deepthi Pathare

Leo Laine

Proceedings of the IEEE International Conference on Big Data, 2023

Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes.

[BibT_eX]

[DOI]

Simon Johansson

Alexander Schliep

Proceedings of the IEEE International Conference on Big Data, 2023

Non-uniform Sampling Methods for Large Itemset Mining.

[BibT_eX]

[DOI]

Zahra Moteshaker Arani

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A unified framework for online trip destination prediction.

[BibT_eX]

[DOI]

Victor Eberstein

Jonas Sjöblom

Nikolce Murgovski

Mach. Learn., 2022

Active learning of driving scenario trajectories.

[BibT_eX]

[DOI]

Sanna Jarl

Eng. Appl. Artif. Intell., 2022

An Online Learning Approach for Vehicle Usage Prediction During COVID-19.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Q-learning: a robust control approach.

[BibT_eX]

[DOI]

Balázs Varga

CoRR, 2022

TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks.

[BibT_eX]

[DOI]

Hazem Peter Samoaa

Antonio Longa

Mazen Mohamad

Philipp Leitner

Proceedings of the Product-Focused Software Process Improvement, 2022

Memory-Efficient Minimax Distance Measures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Passive and Active Learning of Driver Behavior from Electric Vehicles.

[BibT_eX]

[DOI]

Federica Comuni

Christopher Mészáros

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Trip Prediction by Leveraging Trip Histories from Neighboring Users.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Analysis of Knowledge Transfer in Kernel Regime.

[BibT_eX]

[DOI]

Chiranjib Bhattacharyya

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms.

[BibT_eX]

[DOI]

Carl Johnell

Hampus Gummesson Svensson

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Autonomous Drug Design with Multi-Armed Bandits.

[BibT_eX]

[DOI]

Esben Jannik Bjerrum

Christian Tyrchan

Proceedings of the IEEE International Conference on Big Data, 2022

Graph Clustering Using Node Embeddings: An Empirical Study.

[BibT_eX]

[DOI]

Mahdi Ghanbari

Proceedings of the IEEE International Conference on Big Data, 2022

On Using Node Indices and Their Correlations for Fake Account Detection.

[BibT_eX]

[DOI]

Sara Asghari

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Analysis of Driving Scenario Trajectories with Active Learning.

[BibT_eX]

[DOI]

Sanna Jarl

CoRR, 2021

Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach.

[BibT_eX]

[DOI]

Balázs Varga

CoRR, 2021

Vehicle Motion Trajectories Clustering via Embedding Transitive Relations.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Reliable Agglomerative Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Shallow Node Representation Learning using Centrality Indices.

[BibT_eX]

[DOI]

Masoud Malek

Ehsan Nazerfard

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks.

[BibT_eX]

[DOI]

John Daniel Bossér

Erik Sörstadius

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Accelerated proximal incremental algorithm schemes for non-strongly convex functions.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2020

Learning representations from dendrograms.

[BibT_eX]

[DOI]

Mach. Learn., 2020

Unsupervised representation learning with Minimax distance measures.

[BibT_eX]

[DOI]

Mach. Learn., 2020

A Generic Framework for Clustering Vehicle Motion Trajectories.

[BibT_eX]

[DOI]

CoRR, 2020

Model-Centric and Data-Centric Aspects of Active Learning for Neural Network Models.

[BibT_eX]

[DOI]

John Daniel Bossér

Erik Sörstadius

CoRR, 2020

Frank-Wolfe Optimization for Dominant Set Clustering.

[BibT_eX]

[DOI]

Carl Johnell

CoRR, 2020

Memory-Efficient Sampling for Minimax Distance Measures.

[BibT_eX]

[DOI]

CoRR, 2020

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime.

[BibT_eX]

[DOI]

Chiranjib Bhattacharyya

CoRR, 2020

Hierarchical Correlation Clustering and Tree Preserving Embedding.

[BibT_eX]

[DOI]

CoRR, 2020

Generation of Driving Scenario Trajectories with Generative Adversarial Networks.

[BibT_eX]

[DOI]

Andreas Demetriou

Henrik Allsvåg

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization.

[BibT_eX]

[DOI]

Emilio Jorge

CoRR, 2019

Nonparametric feature extraction based on Minimax distance.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer.

[BibT_eX]

[DOI]

Morteza Haghir Cheraghani

Erik Thiel

CoRR, 2019

Lifelong Learning Starting from Zero.

[BibT_eX]

[DOI]

Filip Slottner Seholm

Proceedings of the Artificial General Intelligence - 12th International Conference, 2019

A Non-Convex Optimization Approach to Correlation Clustering.

[BibT_eX]

[DOI]

Erik Thiel

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

2018

Nonparametric Feature Extraction from Dendrograms.

[BibT_eX]

[DOI]

CoRR, 2018

Efficient Context-Aware K-Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2018

2017

Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting.

[BibT_eX]

[DOI]

Jean-Michel Renders

Andreas Krause

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Efficient Computation of Pairwise Minimax Distance Measures.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Clustering by Shift.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Feature-Oriented Analysis of User Profile Completion Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2017

Classification with Minimax Distance Measures.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Adaptive trajectory analysis of replicator dynamics for data clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2016

Modeling Transitivity in Complex Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

K-Nearest Neighbor Search and Outlier Detection via Minimax Distances.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Transactional Tree Mining.

[BibT_eX]

[DOI]

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

2013

Approximate Sorting.

[BibT_eX]

[DOI]

Ludwig M. Busse

Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012

Information Theoretic Model Validation for Spectral Clustering.

[BibT_eX]

[DOI]

Alberto Giovanni Busetto

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Information Theoretic Model Selection for Pattern Analysis.

[BibT_eX]

[DOI]

Mario Frank

Andreas P. Streich

Proceedings of the Unsupervised and Transfer Learning, 2012

Probabilistic Heuristics for Hierarchical Web Data Clustering.

[BibT_eX]

[DOI]

Comput. Intell., 2012

The information content in sorting algorithms.

[BibT_eX]

[DOI]

Ludwig M. Busse

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2011

The Minimum Transfer Cost Principle for Model-Order Selection.

[BibT_eX]

[DOI]

Mario Frank

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2009

Efficient rule based structural algorithms for classification of tree structured data.

[BibT_eX]

[DOI]

Euhanna Ghadimi

Intell. Data Anal., 2009

Density link-based methods for clustering web pages.

[BibT_eX]

[DOI]

Decis. Support Syst., 2009

2008

Improving density-based methods for hierarchical clustering of web pages.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2008

Novel meta-heuristic algorithms for clustering web documents.

[BibT_eX]

[DOI]

Mehrdad Mahdavi

Rana Forsati

Appl. Math. Comput., 2008

2007

A heuristic algorithm for clustering rooted ordered trees.

[BibT_eX]

[DOI]

Intell. Data Anal., 2007

Attaining Higher Quality for Density Based Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Web Reasoning and Rule Systems, First International Conference, 2007

Clustering Rooted Ordered Trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Mining Maximal Embedded Unordered Tree Patterns.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks.

[BibT_eX]

[DOI]