![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Kurt Driessens
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c38]Alexandros Doumanoglou, Dimitrios Zarpalas, Kurt Driessens
:
Concept Basis Extraction for Latent Space Interpretation of Image Classifiers. VISIGRAPP (3): VISAPP 2024: 417-424 - [i4]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 abs/2406.09242 (2024) - 2023
- [i3]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 abs/2308.00619 (2023) - 2021
- [i2]Tonio Weidler, Julian Lehnen, Quinton Denman, Dávid Sebok, Gerhard Weiss, Kurt Driessens, Mario Senden
:
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks. CoRR abs/2105.09830 (2021) - 2020
- [j9]Alexander Kroner
, Mario Senden
, Kurt Driessens
, Rainer Goebel
:
Contextual encoder-decoder network for visual saliency prediction. Neural Networks 129: 261-270 (2020) - [e2]Peggy Cellier, Kurt Driessens
:
Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Communications in Computer and Information Science 1167, Springer 2020, ISBN 978-3-030-43822-7 [contents] - [e1]Peggy Cellier, Kurt Driessens
:
Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Communications in Computer and Information Science 1168, Springer 2020, ISBN 978-3-030-43886-9 [contents]
2010 – 2019
- 2019
- [c37]René Raab, Kurt Driessens:
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games. BNAIC/BENELEARN 2019 - [i1]Alexander Kroner
, Mario Senden
, Kurt Driessens, Rainer Goebel
:
Contextual Encoder-Decoder Network for Visual Saliency Prediction. CoRR abs/1902.06634 (2019) - 2018
- [c36]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: 7831-7836 - 2017
- [j8]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): 1155-1156 (2017) - [j7]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): 1243-1244 (2017) - [j6]Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers
, Kurt Driessens
, Ralf Peeters
:
Testing exchangeability for transfer decision. Pattern Recognit. Lett. 88: 64-71 (2017) - [c35]David Roschewitz, Kurt Driessens
, Pieter Collins
:
Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression. BNCAI 2017: 116-130 - [c34]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 - [c33]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: 125-127 - [c32]Mara Houbraken, Chang Sun, Evgueni N. Smirnov, Kurt Driessens
:
Discovering Hidden Course Requirements and Student Competences from Grade Data. UMAP (Adjunct Publication) 2017: 147-152 - [r2]Kurt Driessens:
Relational Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1096-1103 - 2016
- [c31]Damien Lejeune, Kurt Driessens
:
A Data Driven Similarity Measure and Example Mapping Function for General, Unlabelled Data Sets. ECAI 2016: 158-166 - [c30]Sjoerd van Steenkiste
, Jan Koutník, Kurt Driessens
, Jürgen Schmidhuber:
A Wavelet-based Encoding for Neuroevolution. GECCO 2016: 517-524 - 2015
- [j5]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: 100-108 (2015) - [c29]Shuang Zhou, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen:
Largest Source Subset Selection for Instance Transfer. ACML 2015: 423-438 - [c28]Shuang Zhou, Evgueni N. Smirnov, Gijs Schoenmakers, Ralf Peeters
, Kurt Driessens
:
A Non-parametric Conformity-Based Test for Transfer Decisions. ICTAI 2015: 628-635 - 2013
- [c27]Samuel Sarjant, Bernhard Pfahringer, Kurt Driessens
, Tony Smith:
A Direct Policy-Search Algorithm for Relational Reinforcement Learning. ILP 2013: 76-92 - [c26]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: 449-464 - 2012
- [c25]Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss:
Reinforcement learning transfer via sparse coding. AAMAS 2012: 383-390 - 2011
- [c24]Samuel Sarjant
, Bernhard Pfahringer, Kurt Driessens
, Tony Smith:
Using the online cross-entropy method to learn relational policies for playing different games. CIG 2011: 182-189 - [c23]Elena Ikonomovska, Kurt Driessens
, Saso Dzeroski
, João Gama
:
Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops 2011: 697-704 - 2010
- [p1]Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls
, Jan Ramon, Kurt Driessens
, H. Jaap van den Herik, Eric O. Postma:
Learning with Whom to Communicate Using Relational Reinforcement Learning. Interactive Collaborative Information Systems 2010: 45-63 - [r1]Kurt Driessens:
Relational Reinforcement Learning. Encyclopedia of Machine Learning 2010: 857-862
2000 – 2009
- 2009
- [c22]Guy Van den Broeck, Kurt Driessens, Jan Ramon:
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. ACML 2009: 367-381 - [c21]Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls
, Jan Ramon, Kurt Driessens:
Learning with whom to communicate using relational reinforcement learning. AAMAS (2) 2009: 1221-1222 - [c20]Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani:
Bayesian Real-Time Dynamic Programming. IJCAI 2009: 1784-1789 - 2008
- [c19]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: 1485-1486 - [c18]Robby Goetschalckx, Scott Sanner, Kurt Driessens:
Reinforcement Learning with the Use of Costly Features. ECAI 2008: 779-780 - [c17]Laura-Andreea Antanas, Kurt Driessens, Jan Ramon, Tom Croonenborghs:
Using Decision Trees as the Answer Networks in Temporal Difference-Networks. ECAI 2008: 847-848 - [c16]Robby Goetschalckx, Scott Sanner, Kurt Driessens:
Reinforcement Learning with the Use of Costly Features. EWRL 2008: 124-135 - [c15]Robby Goetschalckx, Kurt Driessens, Scott Sanner:
Cost-Sensitive Parsimonious Linear Regression. ICDM 2008: 809-814 - [c14]Kristian Kersting, Kurt Driessens:
Non-parametric policy gradients: a unified treatment of propositional and relational domains. ICML 2008: 456-463 - 2007
- [c13]Jan Ramon, Kurt Driessens, Tom Croonenborghs:
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling. ECML 2007: 699-707 - [c12]Tom Croonenborghs, Kurt Driessens, Maurice Bruynooghe:
Learning Relational Options for Inductive Transfer in Relational Reinforcement Learning. ILP 2007: 88-97 - 2006
- [j4]Kurt Driessens
, Jan Ramon, Thomas Gärtner
:
Graph kernels and Gaussian processes for relational reinforcement learning. Mach. Learn. 64(1-3): 91-119 (2006) - [c11]Kurt Driessens
, Peter Reutemann
, Bernhard Pfahringer, Claire Leschi:
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD 2006: 60-69 - 2005
- [j3]Kurt Driessens:
Relational reinforcement learning. AI Commun. 18(1): 71-73 (2005) - [c10]Kurt Driessens, Saso Dzeroski:
Combining Model-Based and Instance-Based Learning for First Order Regression. BNAIC 2005: 341-342 - [c9]Kurt Driessens, Saso Dzeroski
:
Combining model-based and instance-based learning for first order regression. ICML 2005: 193-200 - 2004
- [j2]Kurt Driessens
, Saso Dzeroski
:
Integrating Guidance into Relational Reinforcement Learning. Mach. Learn. 57(3): 271-304 (2004) - 2003
- [c8]Kurt Driessens, Jan Ramon:
Relational Instance Based Regression for Relational Reinforcement Learning. ICML 2003: 123-130 - [c7]Thomas Gärtner
, Kurt Driessens, Jan Ramon:
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. ILP 2003: 146-163 - 2002
- [c6]Kurt Driessens, Saso Dzeroski:
Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML 2002: 115-122 - 2001
- [j1]Saso Dzeroski
, Luc De Raedt
, Kurt Driessens
:
Relational Reinforcement Learning. Mach. Learn. 43(1/2): 7-52 (2001) - [c5]Kurt Driessens
:
Relational Reinforcement Learning. EASSS 2001: 271-280 - [c4]Kurt Driessens, Jan Ramon, Hendrik Blockeel
:
Speeding Up Relational Reinforcement Learning through the Use of an Incremental First Order Decision Tree Learner. ECML 2001: 97-108
1990 – 1999
- 1998
- [c3]Nico Jacobs, Kurt Driessens, Luc De Raedt:
Inductive verification and validation of multi agent systems. EUROVAV 1998 - [c2]Nico Jacobs, Kurt Driessens, Luc De Raedt
:
Using ILP-Systems for Verification and Validation of Multi-agent Systems. ILP 1998: 145-154 - [c1]Kurt Driessens, Nico Jacobs, Nathalie Cossement, Patrick Monsieurs, Luc De Raedt
:
Inductive Verification and Validation of the KULRoT RoboCup Team. RoboCup 1998: 193-206
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint