Kurt Driessens

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 17

Top Topics

Ensemble Learning

Subset Selection

Convolutional Neural Networks

Top Venues

UMAP (Adjunct Publication)

Pattern Recognit. Lett.

Publications

Alexandros Doumanoglou, Dimitrios Zarpalas, Kurt Driessens
Concept Basis Extraction for Latent Space Interpretation of Image Classifiers. VISIGRAPP (3): VISAPP (2024)
Dennis J. N. J. Soemers, Guillaume Bams, Max Persoon, Marco Rietjens, Dimitar Sladic, Stefan Stefanov, Kurt Driessens, Mark H. M. Winands
Towards a Characterisation of Monte-Carlo Tree Search Performance in Different Games. CoRR (2024)
Davide Nicotra, Miriam Lucio Martinez, Jacco Andreas de Vries, Marcel Merk, Kurt Driessens, Ronald Leonard Westra, Domenica Dibenedetto, Daniel Hugo Cámpora Pérez
A quantum algorithm for track reconstruction in the LHCb vertex detector. CoRR (2023)
Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebok, Gerhard Weiss, Kurt Driessens, Mario Senden
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. CoRR (2021)
Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel
Contextual encoder-decoder network for visual saliency prediction. Neural Networks 129 (2020)
René Raab, Kurt Driessens
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games. BNAIC/BENELEARN (2019)
Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel
Contextual Encoder-Decoder Network for Visual Saliency Prediction. CoRR (2019)
Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. AAAI (2018)
Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) (2017)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters
Testing exchangeability for transfer decision. Pattern Recognit. Lett. 88 (2017)
David Roschewitz, Kurt Driessens, Pieter Collins
Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression. BNCAI (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Mach. Learn. 106 (9-10) (2017)
Pietro Bonizzi, Kurt Driessens, Joël M. H. Karel
Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning. CinC (2017)
Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017. Data Min. Knowl. Discov. 31 (5) (2017)
Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens
Discovering Hidden Course Requirements and Student Competences from Grade Data. UMAP (Adjunct Publication) (2017)
Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber
A Wavelet-based Encoding for Neuroevolution. GECCO (2016)
Damien Lejeune, Kurt Driessens
A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets. ECAI (2016)
Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls
Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognit. Lett. 66 (2015)
Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens
A Non-parametric Conformity-Based Test for Transfer Decisions. ICTAI (2015)
Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen
Largest Source Subset Selection for Instance Transfer. ACML (2015)
Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. ECML/PKDD (2) (2013)
Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
A Direct Policy-Search Algorithm for Relational Reinforcement Learning. ILP (2013)
Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss
Reinforcement learning transfer via sparse coding. AAMAS (2012)
Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops (2011)
Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith
Using the online cross-entropy method to learn relational policies for playing different games. CIG (2011)
Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens
Learning with whom to communicate using relational reinforcement learning. AAMAS (2) (2009)
Guy Van den Broeck, Kurt Driessens, Jan Ramon
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. ACML (2009)
Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani
Bayesian Real-Time Dynamic Programming. IJCAI (2009)
Robby Goetschalckx, Kurt Driessens, Scott Sanner
Cost-Sensitive Parsimonious Linear Regression. ICDM (2008)
Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs
Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI (2008)
Robby Goetschalckx, Scott Sanner, Kurt Driessens
Reinforcement Learning with the Use of Costly Features. ECAI (2008)
Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. AAAI (2008)
Kristian Kersting, Kurt Driessens
Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML (2008)
Robby Goetschalckx, Scott Sanner, Kurt Driessens
Reinforcement Learning with the Use of Costly Features. EWRL (2008)
Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning. ILP (2007)
Jan Ramon, Kurt Driessens, Tom Croonenborghs
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML (2007)
Kurt Driessens, Jan Ramon, Thomas Gärtner
Graph kernels and Gaussian processes for relational reinforcement learning. Mach. Learn. 64 (1-3) (2006)
Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD (2006)
Kurt Driessens
Relational reinforcement learning. AI Commun. 18 (1) (2005)
Kurt Driessens, Saso Dzeroski
Combining model-based and instance-based learning for first order regression. ICML (2005)
Kurt Driessens, Saso Dzeroski
Combining Model-Based and Instance-Based Learning for First Order Regression. BNAIC (2005)
Kurt Driessens, Saso Dzeroski
Integrating Guidance into Relational Reinforcement Learning. Mach. Learn. 57 (3) (2004)
Kurt Driessens, Jan Ramon
Relational Instance Based Regression for Relational Reinforcement Learning. ICML (2003)
Thomas Gärtner, Kurt Driessens, Jan Ramon
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP (2003)
Kurt Driessens, Saso Dzeroski
Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML (2002)
Kurt Driessens
Relational Reinforcement Learning. EASSS (2001)
Saso Dzeroski, Luc De Raedt, Kurt Driessens
Relational Reinforcement Learning. Mach. Learn. 43 (1/2) (2001)
Kurt Driessens, Jan Ramon, Hendrik Blockeel
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML (2001)
Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt
Inductive Verification and Validation of the KULRoT RoboCup Team. RoboCup (1998)
Nico Jacobs, Kurt Driessens, Luc De Raedt
Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP (1998)
Nico Jacobs, Kurt Driessens, Luc De Raedt
Inductive verification and validation of multi agent systems. EUROVAV (1998)