Marco A. Wiering

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 79

Top Venues

Publications

Remo Sasso, Matthia Sabatelli, Marco A. Wiering
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Remo Sasso, Matthia Sabatelli, Marco A. Wiering
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR (2022)
Remo Sasso, Matthia Sabatelli, Marco A. Wiering
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning. CoRR (2021)
Wouter Mostard, Lambert Schomaker, Marco A. Wiering
Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings. NLPIR (2021)
Andreas Pentaliotis, Marco A. Wiering
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance. ICAART (2) (2021)
Saeed Rahimi Gorji, Ole-Christoffer Granmo, Marco A. Wiering
Explainable Reinforcement Learning with the Tsetlin Machine. IEA/AIE (1) (2021)
Juan M. Montoya, Imant Daunhawer, Julia E. Vogt, Marco A. Wiering
Decoupling State Representation Methods from Reinforcement Learning in Car Racing. ICAART (2) (2021)
Arthur Müller, Vishal Rangras, Georg Schnittker, Michael Waldmann, Maxim Friesen, Tobias Ferfers, Lukas Schreckenberg, Florian Hufen, Jürgen Jasperneite, Marco A. Wiering
LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario. CoRR (2021)
Amirhossein Shantia, Rik Timmers, Yiebo Chong, Cornel Kuiper, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering
Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning. Robotics Auton. Syst. 138 (2021)
Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering
Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. IJCNN (2021)
Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker
Active Learning for Reducing Labeling Effort in Text Classification Tasks. BNAIC/BENELEARN (2021)
Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker
Active learning for reducing labeling effort in text classification tasks. CoRR (2021)
Roman Liessner, Jan Dohmen, Marco A. Wiering
Explainable Reinforcement Learning for Longitudinal Control. ICAART (2) (2021)
Yifei Chen, Lambert Schomaker, Marco A. Wiering
An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. ICAART (2) (2021)
Arthur Müller, Vishal Rangras, Tobias Ferfers, Florian Hufen, Lukas Schreckenberg, Jürgen Jasperneite, Georg Schnittker, Michael Waldmann, Maxim Friesen, Marco A. Wiering
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control. ICMLA (2021)
Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering
CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting. Neurocomputing 423 (2021)
Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering
One-vs-One classification for deep neural networks. Pattern Recognit. 108 (2020)
Xiangxie Zhang, Ben Beinke, Berlian Al Kindhi, Marco A. Wiering
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification. CoRR (2020)
Travis Hammond, Dirk Jelle Schaap, Matthia Sabatelli, Marco A. Wiering
Forest Fire Control with Learning from Demonstration and Reinforcement Learning. IJCNN (2020)
Pornntiwa Pawara, Alina Boshchenko, Lambert R. B. Schomaker, Marco A. Wiering
Deep Learning with Data Augmentation for Fruit Counting. ICAISC (1) (2020)
Hamid Radmard Rahmani, Carsten Könke, Marco A. Wiering
Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control. CoRR (2020)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. IJCNN (2020)
Mario S. Holubar, Marco A. Wiering
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO. CoRR (2020)
Floris van Beers, Arvid Lindström, Emmanuel Okafor, Marco A. Wiering
Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation. ICPRAM (2019)
Wouter Mostard, Bastiaan Zijlema, Marco A. Wiering
Combining Visual and Contextual Information for Fraudulent Online Store Classification. WI (2019)
Tim Haarman, Bastiaan Zijlema, Marco A. Wiering
Unsupervised Keyphrase Extraction for Web Pages. Multimodal Technol. Interact. 3 (3) (2019)
Nil Stolt Ansó, Anton Orell Wiehe, Madalina M. Drugan, Marco A. Wiering
Deep Reinforcement Learning for Pellet Eating in Agar.io. ICAART (2) (2019)
Hamid Radmard Rahmani, J. Geoffrey Chase, Marco A. Wiering, Carsten Könke
A framework for brain learning-based control of smart structures. Adv. Eng. Informatics 42 (2019)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Deep Quality-Value (DQV) Learning. BNAIC/BENELEARN (2019)
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
Hyperspectral demosaicking and crosstalk correction using deep learning. Mach. Vis. Appl. 30 (1) (2019)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms. CoRR (2019)
Luuk Boulogne, Klaas Dijkstra, Marco A. Wiering
Extra Domain Data Generation with Generative Adversarial Nets. SSCI (2018)
Mathijs Pieters, Marco A. Wiering
Comparing Generative Adversarial Network Techniques for Image Creation and Modification. CoRR (2018)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Deep Quality-Value (DQV) Learning. CoRR (2018)
Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering
Detection and Recognition of Badgers Using Deep Learning. ICANN (3) (2018)
Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
Opponent Modelling in the Game of Tron using Reinforcement Learning. ICAART (2) (2018)
Remi Niel, Jasper Krebbers, Madalina M. Drugan, Marco A. Wiering
Hierarchical Reinforcement Learning for Real-Time Strategy Games. ICAART (2) (2018)
Joseph Groot Kormelink, Madalina M. Drugan, Marco A. Wiering
Exploration Methods for Connectionist Q-learning in Bomberman. ICAART (2) (2018)
Stefan J. L. Knegt, Madalina M. Drugan, Marco A. Wiering
Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron. ICAART (Revised Selected Papers) (2018)
Jits Schilperoort, Ivar Mak, Madalina M. Drugan, Marco A. Wiering
Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants. SSCI (2018)
Jos van de Wolfshaar, Marco A. Wiering, Lambert Schomaker
Deep Learning Policy Quantization. ICAART (2) (2018)
Anton Orell Wiehe, Nil Stolt Ansó, Madalina M. Drugan, Marco A. Wiering
Sampled Policy Gradient for Learning to Play the Game Agar.io. CoRR (2018)
Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco A. Wiering, Lambert Schomaker
A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. ICPRAM (2018)
Remi Niel, Marco A. Wiering
Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game. SSCI (2018)
Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. J. Inf. Telecommun. 2 (4) (2018)
Mohammad Aslani, Stefan Seipel, Mohammad Saadi Mesgari, Marco A. Wiering
Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran. Adv. Eng. Informatics 38 (2018)
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering
CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. ECML/PKDD (3) (2018)
Gabriel Leuenberger, Marco A. Wiering
Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games. ICAART (2) (2018)
Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco A. Wiering
Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM (2018)
Francesco Dal Canton, Vincent M. Quinten, Marco A. Wiering
Early Detection of Sepsis Induced Deterioration Using Machine Learning. BNCAI (2018)
Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering
Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. ICPRAM (2017)
Jose Castela Forte, Marco A. Wiering, Hjalmar R. Bouma, Fred Geus, Anne H. Epema
Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models. MLHC (2017)
Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering
Operational data augmentation in classifying single aerial images of animals. INISTA (2017)
Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering
Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. ICPRAM (2017)
Paul Ozkohen, Jelle Visser, Martijn van Otterlo, Marco A. Wiering
Learning to Play Donkey Kong Using Neural Networks and Reinforcement Learning. BNCAI (2017)
Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering
Hyper-spectral frequency selection for the classification of vegetation diseases. ESANN (2017)
Michiel van der Ree, Jos B. T. M. Roerdink, Christophe Phillips, Gaëtan Garraux, Eric Salmon, Marco A. Wiering
Support vector components analysis. ESANN (2017)
Mathijs Pieters, Marco A. Wiering
Comparison of Machine Learning Techniques for Multi-label Genre Classification. BNCAI (2017)
Richard Elderman, Leon J. J. Pater, Albert S. Thie, Madalina M. Drugan, Marco A. Wiering
Adversarial Reinforcement Learning in a Cyber Security Simulation. ICAART (2) (2017)
Madalina M. Drugan, Marco A. Wiering, Peter Vamplew, Madhu Chetty
Special issue on multi-objective reinforcement learning. Neurocomputing 263 (2017)
Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering
Data Augmentation for Plant Classification. ACIVS (2017)
Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering
Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI (2016)
Mathijs Pieters, Marco A. Wiering
Q-learning with experience replay in a dynamic environment. SSCI (2016)
Felipe Martins, Marc de Groot, Xeryus Stokkel, Marco A. Wiering
Human detection and classification of landing sites for search and rescue drones. ESANN (2016)
Amirhosein Shantia, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering
Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis. SSCI (2016)
Arryon D. Tijsma, Madalina M. Drugan, Marco A. Wiering
Comparing exploration strategies for Q-learning in random stochastic mazes. SSCI (2016)
Valeriu Codreanu, Bob Dröge, David Williams, Burhan Yasar, Po Yang, Baoquan Liu, Feng Dong, Olarik Surinta, Lambert R. B. Schomaker, Jos B. T. M. Roerdink, Marco A. Wiering
Evaluating automatically parallelized versions of the support vector machine. Concurr. Comput. Pract. Exp. 28 (7) (2016)
Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik
Making Sense of Illustrated Handwritten Archives. DH (2016)
Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering
Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients. VISIGRAPP (4: VISAPP) (2016)
Amirhosein Shantia, Rik Timmers, Lambert Schomaker, Marco A. Wiering
Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment. IJCNN (2015)
Sybren Jansen, Amirhosein Shantia, Marco A. Wiering
The neural-SIFT feature descriptor for visual vocabulary object recognition. IJCNN (2015)
Olarik Surinta, Mahir Faik Karaaba, Lambert R. B. Schomaker, Marco A. Wiering
Recognition of handwritten characters using local gradient feature descriptors. Eng. Appl. Artif. Intell. 45 (2015)
Mahir Faik Karaaba, Olarik Surinta, Lambert Schomaker, Marco A. Wiering
Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients. SSCI (2015)
Sheng He, Marco A. Wiering, Lambert Schomaker
Junction detection in handwritten documents and its application to writer identification. Pattern Recognit. 48 (12) (2015)
Michiel Van De Steeg, Madalina M. Drugan, Marco A. Wiering
Temporal Difference Learning for the Game Tic-Tac-Toe 3D: Applying Structure to Neural Networks. SSCI (2015)
Jos van de Wolfshaar, Mahir Faik Karaaba, Marco A. Wiering
Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition. SSCI (2015)
Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering
In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection. VISAPP (2) (2015)
Florin Schimbinschi, Lambert Schomaker, Marco A. Wiering
Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors. SSCI (2015)
Olarik Surinta, Mahir Faik Karaaba, Tusar Kanti Mishra, Lambert Schomaker, Marco A. Wiering
Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words. EANN (2015)
Mahir Faik Karaaba, Lambert Schomaker, Marco A. Wiering
Machine learning for multi-view eye-pair detection. Eng. Appl. Artif. Intell. 33 (2014)
Olarik Surinta, Michiel Holtkamp, Faik Karaaba, Jean-Paul van Oosten, Lambert Schomaker, Marco A. Wiering
A Path Planning for Line Segmentation of Handwritten Documents. ICFHR (2014)
Zhe Sun, Marco A. Wiering, Nicolai Petkov
Classification system for mortgage arrear management. CIFEr (2014)
Marco A. Wiering, Maikel Withagen, Madalina M. Drugan
Model-based multi-objective reinforcement learning. ADPRL (2014)
Michiel van der Ree, Marco A. Wiering
Reinforcement learning in the game of Othello: Learning against a fixed opponent and learning from self-play. ADPRL (2013)
Luuk Bom, Ruud Henken, Marco A. Wiering
Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs. ADPRL (2013)
Olarik Surinta, Lambert Schomaker, Marco A. Wiering
A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits. ICDAR (2013)
Francesco Puglierin, Madalina M. Drugan, Marco A. Wiering
Bandit-Inspired Memetic Algorithms for solving Quadratic Assignment Problems. IEEE Congress on Evolutionary Computation (2013)
Sjoerd van den Dries, Marco A. Wiering
Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
Olarik Surinta, Lambert Schomaker, Marco A. Wiering
Handwritten Character Classification using the Hotspot Feature Extraction Technique. ICPRAM (1) (2012)
Marco A. Wiering, Hado van Hasselt, Auke-Dirk Pietersma, Lambert Schomaker
Reinforcement learning algorithms for solving classification problems. ADPRL (2011)
Harm van Seijen, Shimon Whiteson, Hado van Hasselt, Marco A. Wiering
Exploiting Best-Match Equations for Efficient Reinforcement Learning. J. Mach. Learn. Res. 12 (2011)
Amirhosein Shantia, Eric Begue, Marco A. Wiering
Connectionist reinforcement learning for intelligent unit micro management in StarCraft. IJCNN (2011)
Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22 (1) (2011)
Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
Ensembles of novel visual keywords descriptors for image categorization. ICARCV (2010)
Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization. Pattern Recognit. 43 (3) (2010)
Marco A. Wiering
Self-Play and Using an Expert to Learn to Play Backgammon with Temporal Difference Learning. J. Intell. Learn. Syst. Appl. 2 (2) (2010)
Marco A. Wiering, Thijs Kooi
Region enhanced neural Q-learning for solving model-based POMDPs. IJCNN (2010)
Madalina M. Drugan, Marco A. Wiering
Feature selection for Bayesian network classifiers using the MDL-FS score. Int. J. Approx. Reason. 51 (6) (2010)
Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. IJCNN (2009)
Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering
An Ensemble of Deep Support Vector Machines for Image Categorization. SoCPaR (2009)

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Publication Activity (10 Years)

Top Topics

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Marco A. Wiering