Kurt Driessens

According to our database, Kurt Driessens authored at least 47 papers between 1998 and 2024.

Collaborative distances:

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

2024

Concept Basis Extraction for Latent Space Interpretation of Image Classifiers.

Alexandros Doumanoglou, Dimitrios Zarpalas, Kurt Driessens

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

A quantum algorithm for track reconstruction in the LHCb vertex detector.

Davide Nicotra, Miriam Lucio Martinez, Jacco Andreas de Vries, Marcel Merk, Kurt Driessens, Ronald Leonard Westra, Domenica Dibenedetto, Daniel Hugo Cámpora Pérez

CoRR, 2023

2021

Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks.

Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebok, Gerhard Weiss, Kurt Driessens, Mario Senden

CoRR, 2021

2020

Contextual encoder-decoder network for visual saliency prediction.

Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel

Neural Networks, 2020

2019

A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games.

René Raab, Kurt Driessens

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees.

Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Relational Reinforcement Learning.

Kurt Driessens

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Testing exchangeability for transfer decision.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Kurt Driessens, Ralf Peeters

Pattern Recognit. Lett., 2017

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.

Kurt Driessens, Dragi Kocev, Marko Robnik-Sikonja, Myra Spiliopoulou

Data Min. Knowl. Discov., 2017

Discovering Hidden Course Requirements and Student Competences from Grade Data.

Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.

Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning.

Pietro Bonizzi, Kurt Driessens, Joël M. H. Karel

Proceedings of the Computing in Cardiology, 2017

Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression.

David Roschewitz, Kurt Driessens, Pieter Collins

Proceedings of the Artificial Intelligence - 29th Benelux Conference, 2017

2016

A Wavelet-based Encoding for Neuroevolution.

Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets.

Damien Lejeune, Kurt Driessens

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Factored four way conditional restricted Boltzmann machines for activity recognition.

Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls

Pattern Recognit. Lett., 2015

A Non-parametric Conformity-Based Test for Transfer Decisions.

Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters, Kurt Driessens

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Largest Source Subset Selection for Instance Transfer.

Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2013

Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.

Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Direct Policy-Search Algorithm for Relational Reinforcement Learning.

Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith

Proceedings of the Inductive Logic Programming - 23rd International Conference, 2013

2012

Reinforcement learning transfer via sparse coding.

Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams.

Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama

Proceedings of the Data Mining Workshops (ICDMW), 2011

Using the online cross-entropy method to learn relational policies for playing different games.

Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens, Tony Smith

Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

2010

Learning with Whom to Communicate Using Relational Reinforcement Learning.

Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, H. Jaap van den Herik, Eric O. Postma

Proceedings of the Interactive Collaborative Information Systems, 2010

Relational Reinforcement Learning.

Kurt Driessens

Proceedings of the Encyclopedia of Machine Learning, 2010

2009

Bayesian Real-Time Dynamic Programming.

Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani

Proceedings of the IJCAI 2009, 2009

Learning with whom to communicate using relational reinforcement learning.

Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Monte-Carlo Tree Search in Poker Using Expected Reward Distributions.

Guy Van den Broeck, Kurt Driessens, Jan Ramon

Proceedings of the Advances in Machine Learning, 2009

2008

Non-parametric policy gradients: a unified treatment of propositional and relational domains.

Kristian Kersting, Kurt Driessens

Proceedings of the Machine Learning, 2008

Cost-Sensitive Parsimonious Linear Regression.

Robby Goetschalckx, Kurt Driessens, Scott Sanner

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Reinforcement Learning with the Use of Costly Features.

Robby Goetschalckx, Scott Sanner, Kurt Driessens

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

Using Decision Trees as the Answer Networks in Temporal Difference-Networks.

Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs

Proceedings of the ECAI 2008, 2008

Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker.

Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning.

Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling.

Jan Ramon, Kurt Driessens, Tom Croonenborghs

Proceedings of the Machine Learning: ECML 2007, 2007

2006

Graph kernels and Gaussian processes for relational reinforcement learning.

Kurt Driessens, Jan Ramon, Thomas Gärtner

Mach. Learn., 2006

Using Weighted Nearest Neighbor to Benefit from Unlabeled Data.

Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005

Relational reinforcement learning.

Kurt Driessens

AI Commun., 2005

Combining Model-Based and Instance-Based Learning for First Order Regression.

Kurt Driessens, Saso Dzeroski

Proceedings of the BNAIC 2005, 2005

2004

Integrating Guidance into Relational Reinforcement Learning.

Kurt Driessens, Saso Dzeroski

Mach. Learn., 2004

2003

Relational Instance Based Regression for Relational Reinforcement Learning.

Kurt Driessens, Jan Ramon

Proceedings of the Machine Learning, 2003

2002

Integrating Experimentation and Guidance in Relational Reinforcement Learning.

Kurt Driessens, Saso Dzeroski

Proceedings of the Machine Learning, 2002

2001

Relational Reinforcement Learning.

Saso Dzeroski, Luc De Raedt, Kurt Driessens

Mach. Learn., 2001

Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner.

Kurt Driessens, Jan Ramon, Hendrik Blockeel

Proceedings of the Machine Learning: EMCL 2001, 2001

1998

Inductive Verification and Validation of the KULRoT RoboCup Team.

Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt

Proceedings of the RoboCup-98: Robot Soccer World Cup II, 1998

Using ILP-Systems for Verification and Validation of Multi-agent Systems.

Nico Jacobs, Kurt Driessens, Luc De Raedt

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Inductive verification and validation of multi agent systems.

Nico Jacobs, Kurt Driessens, Luc De Raedt

Proceedings of the 1998 European Workshop on Validation and Verification of Knowledge-Based Systems, 1998