Kurt Driessens

63 papers A* 8A 5B 6C 4Journal 18Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks.
Trans. Mach. Learn. Res.
Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas
2025 J jnl
Deep learning based estimation of heart surface potentials.
Artif. Intell. Medicine
Tiantian Wang, Joël M. H. Karel, Niels Osnabrugge, Kurt Driessens, Job Stoks, Matthijs J. M. Cluitmans, Paul G. A. Volders, Pietro Bonizzi, Ralf L. M. Peeters
2025 — conf
Environment Descriptions for Usability and Generalisation in Reinforcement Learning.
ICAART (3)
Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands
2025 J jnl
Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks.
CoRR
Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas
2025 J jnl
Variational Quantum Algorithms for Particle Track Reconstruction.
CoRR
Vincenzo Lipardi, Xenofon Chiotopoulos, Jacco Andreas de Vries, Domenica Dibenedetto, Kurt Driessens, Marcel Merk, Mark H. M. Winands
2024 — conf
Concept Basis Extraction for Latent Space Interpretation of Image Classifiers.
VISIGRAPP (3): VISAPP
Alexandros Doumanoglou, Dimitrios Zarpalas, Kurt Driessens
2024 J jnl
Environment Descriptions for Usability and Generalisation in Reinforcement Learning.
CoRR
Dennis J. N. J. Soemers, Spyridon Samothrakis, Kurt Driessens, Mark H. M. Winands
2024 C conf
Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games.
CoG
Dennis J. N. J. Soemers, Guillaume Bams, Max Persoon, Marco Rietjens, Dimitar Sladic, Stefan Stefanov, Kurt Driessens, Mark H. M. Winands
2024 J jnl
Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games.
CoRR
Dennis J. N. J. Soemers, Guillaume Bams, Max Persoon, Marco Rietjens, Dimitar Sladic, Stefan Stefanov, Kurt Driessens, Mark H. M. Winands
2023 J jnl
A quantum algorithm for track reconstruction in the LHCb vertex detector.
CoRR
Davide Nicotra, Miriam Lucio Martinez, Jacco Andreas de Vries, Marcel Merk, Kurt Driessens, Ronald Leonard Westra, Domenica Dibenedetto, Daniel Hugo Cámpora Pérez
2021 J jnl
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks.
CoRR
Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebok, Gerhard Weiss, Kurt Driessens, Mario Senden
2020 J jnl
Contextual encoder-decoder network for visual saliency prediction.
Neural Networks
Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel
2020 — ed.
Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I
PKDD/ECML Workshops (1)
Peggy Cellier, Kurt Driessens
2020 — ed.
Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II
PKDD/ECML Workshops (2)
Peggy Cellier, Kurt Driessens
2019 — conf
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games.
BNAIC/BENELEARN
René Raab, Kurt Driessens
2019 J jnl
Contextual Encoder-Decoder Network for Visual Saliency Prediction.
CoRR
Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel
2018 A* conf
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees.
AAAI
Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
2017 — conf
Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning.
CinC
Pietro Bonizzi, Kurt Driessens, Joël M. H. Karel
2017 — conf
Discovering Hidden Course Requirements and Student Competences from Grade Data.
UMAP (Adjunct Publication)
Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens
2017 J jnl
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.
Data Min. Knowl. Discov.
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017 J jnl
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.
Mach. Learn.
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
2017 — ch.
Relational Reinforcement Learning.
Encyclopedia of Machine Learning and Data Mining
Kurt Driessens
2017 — conf
Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression.
BNCAI
David Roschewitz, Kurt Driessens, Pieter Collins
2017 J jnl
Testing exchangeability for transfer decision.
Pattern Recognit. Lett.
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters
2017 — conf
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.
UMAP (Adjunct Publication)
Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
2016 A conf
A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets.
ECAI
Damien Lejeune, Kurt Driessens
2016 A conf
A Wavelet-based Encoding for Neuroevolution.
GECCO
Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber
2015 B conf
A Non-parametric Conformity-Based Test for Transfer Decisions.
ICTAI
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens
2015 J jnl
Factored four way conditional restricted Boltzmann machines for activity recognition.
Pattern Recognit. Lett.
Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls
2015 C conf
Largest Source Subset Selection for Instance Transfer.
ACML
Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen
2013 B conf
A Direct Policy-Search Algorithm for Relational Reinforcement Learning.
ILP
Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
2013 — conf
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.
ECML/PKDD (2)
Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss
2012 A conf
Reinforcement learning transfer via sparse coding.
AAMAS
Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss
2011 — conf
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.
ICDM Workshops
Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama
2011 — conf
Using the online cross-entropy method to learn relational policies for playing different games.
CIG
Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
2010 — ch.
Learning with Whom to Communicate Using Relational Reinforcement Learning.
Interactive Collaborative Information Systems
Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, H. Jaap van den Herik, Eric O. Postma
2010 — ch.
Relational Reinforcement Learning.
Encyclopedia of Machine Learning
Kurt Driessens
2009 A* conf
Bayesian Real-Time Dynamic Programming.
IJCAI
Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani
2009 — conf
Learning with whom to communicate using relational reinforcement learning.
AAMAS (2)
Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens
2009 C conf
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.
ACML
Guy Van den Broeck, Kurt Driessens, Jan Ramon
2008 A* conf
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.
AAAI
Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls
2008 A* conf
Cost-Sensitive Parsimonious Linear Regression.
ICDM
Robby Goetschalckx, Kurt Driessens, Scott Sanner
2008 A* conf
Non-parametric policy gradients: a unified treatment of propositional and relational domains.
ICML
Kristian Kersting, Kurt Driessens
2008 A conf
Reinforcement Learning with the Use of Costly Features.
ECAI
Robby Goetschalckx, Scott Sanner, Kurt Driessens
2008 — conf
Reinforcement Learning with the Use of Costly Features.
EWRL
Robby Goetschalckx, Scott Sanner, Kurt Driessens
2008 A conf
Using Decision Trees as the Answer Networks in Temporal Difference-Networks.
ECAI
Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs
2007 B conf
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning.
ILP
Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe
2007 — conf
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.
ECML
Jan Ramon, Kurt Driessens, Tom Croonenborghs
2006 J jnl
Graph kernels and Gaussian processes for relational reinforcement learning.
Mach. Learn.
Kurt Driessens, Jan Ramon, Thomas Gärtner
2006 B conf
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.
PAKDD
Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
2005 — conf
Combining Model-Based and Instance-Based Learning for First Order Regression.
BNAIC
Kurt Driessens, Saso Dzeroski
2005 A* conf
Combining model-based and instance-based learning for first order regression.
ICML
Kurt Driessens, Saso Dzeroski
2005 J jnl
Relational reinforcement learning.
AI Commun.
Kurt Driessens
2004 J jnl
Integrating Guidance into Relational Reinforcement Learning.
Mach. Learn.
Kurt Driessens, Saso Dzeroski
2003 B conf
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.
ILP
Thomas Gärtner, Kurt Driessens, Jan Ramon
2003 A* conf
Relational Instance Based Regression for Relational Reinforcement Learning.
ICML
Kurt Driessens, Jan Ramon
2002 A* conf
Integrating Experimentation and Guidance in Relational Reinforcement Learning.
ICML
Kurt Driessens, Saso Dzeroski
2001 — conf
Relational Reinforcement Learning.
EASSS
Kurt Driessens
2001 J jnl
Relational Reinforcement Learning.
Mach. Learn.
Saso Dzeroski, Luc De Raedt, Kurt Driessens
2001 — conf
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner.
ECML
Kurt Driessens, Jan Ramon, Hendrik Blockeel
1998 C conf
Inductive Verification and Validation of the KULRoT RoboCup Team.
RoboCup
Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt
1998 — conf
Inductive verification and validation of multi agent systems.
EUROVAV
Nico Jacobs, Kurt Driessens, Luc De Raedt
1998 B conf
Using ILP-Systems for Verification and Validation of Multi-agent Systems.
ILP
Nico Jacobs, Kurt Driessens, Luc De Raedt