M. Wiering

Mehdi Dastani, Marco Wiering, M. van Otterlo, 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).

Simple Principles of Metalearning

Jieyu Zhao, Marco Wiering, Juergen Schmidhuber, 1996 .

An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals

Lambert Schomaker, Marco Wiering, Emmanuel Okafor, 2018, J. Inf. Telecommun..

Liquid State Machine Optimization

M. Wiering, S. Kok, 2007 .

Cognitive Developmental Pattern Recognition : Learning to learn DRAFT NOT FOR PUBLICATION

Lambert Schomaker, M. Wiering, T. V. D. Zant, 2006 .

University of Groningen Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events Aslani,

M. S. Mesgari, M. Wiering, 2017 .

Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition

M. Wiering, Emmanuel Okafor, L. Schomaker, 2016 .

University of Groningen Deep Reinforcement Learning for Pellet Eating in Agar.io Ansó,

Madalina M. Drugan, Nil Stolt Ansó, M. Wiering, 2019 .

University of Groningen 4 D Unconstrained Real-time Face Recognition Using a Commodity Depthh Camera

J. K. Sheba, M. Wiering, F. Schimbinschi, 2017 .

Automatic Robot Navigation Using Reinforcement Learning

M. Wiering, Amirhosein Shantia, 2011 .

University of Groningen Model-Based Multi-Objective Reinforcement Learning

Madalina M. Drugan, M. Wiering, M. Withagen, 2017 .

University of Groningen Evaluating automatically parallelized versions of the support vector machine

Lambert Schomaker, M. Wiering, V. Codreanu, 2017 .

University of Groningen Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead Sabatelli,

M. Wiering, V. Codreanu, M. Sabatelli, 2017 .

University of Groningen Multi-Layer Support Vector Machines

M. Wiering, 2017 .

Chapter 1 Multi-Layer Support Vector Machines

M. Wiering, 2014 .

Many Layered Support Vector Machines ( Bachelorproject )

M. Wiering, J. V. Asselt, 2013 .

Kernel Learning in Support Vector Machines using Dual-Objective Optimization

M. Wiering, L. Schomaker, Auke-Dirk Pietersma, 2011 .

Neural Machines for Music Recognition

M. Wiering, L. Pape, F. Wiering, 2006 .

Hierarchical Assignment of Behaviours to Subpolicies

Marco Wiering, Bram Bakker, Wilco Moerman, 2008 .

University of Groningen Deep Colorization for Facial Gender Recognition

M. Wiering, J. Hogervorst, 2017 .

A Primal Support Vector Machine for Handwritten Character Recognition using a Bag of Visual Words

M. Wiering, A. Wanningen, 2016 .

University of Groningen Hyperspectral demosaicking and crosstalk correction using deep learning

Lambert Schomaker, M. Wiering, K. Dijkstra, 2018 .

Reciprocation Effort Games

M. Wiering, Bart Verheij, 2017 .

Reinforcement learning for the game of soccer in flexible environments

M. Wiering, 2019 .

University of Groningen Hierarchical reinforcement learning for real-time strategy games

Madalina M. Drugan, M. Wiering, R. Niel, 2018 .

University of Groningen Hyperspectral frequency selection for the classification of vegetation diseases

Lambert Schomaker, M. Wiering, K. Dijkstra, 2017 .

A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits

Lambert Schomaker, Olarik Surinta, Marco Wiering, 2013, 2013 12th International Conference on Document Analysis and Recognition.

A SPLICE oriented Design for the Clockwork Orange Robotic Soccer Team Software

N. Vlassis, M. Wiering, F. Groen, 2002 .

Saccadic selection and crowding in visual search: stronger lateral masking leads to shorter search times

Frans A. J. Verstraten, M. Wiering, I. Hooge, 2011, Experimental Brain Research.

Exploring Automatic Emotion Recognition with Neutral Expression Subtraction and a Regression Model

Stef van der Struijk, M. Wiering, 2015 .

A Bayesian Network Analysis of the Diagnostic Process and its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients: Prospective Observational Cohort Study

M. Wiering, M. Grzegorczyk, I. V. D. van der Horst, 2019, JMIR medical informatics.

University of Groningen A Bayesian Network Analysis of the Diagnostic Process and Its Accuracy to Determine How Clinicians Estimate Cardiac Function in Critically Ill Patients

M. Wiering, A. Epema, B. Hiemstra, 2019 .

Optimal action selection for the Foreign Exchange market using a Sarsa-Echo State Network

M. Wiering, Damian Podareanu, Adrian Millea, 2014 .

Speeding up Q(A)-learning

Corso Elvezia, M. Wiering, J. Schmidhuber, 2005 .

Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007

Marco Wiering, Hado van Hasselt, M. Wiering, 2007, IJCNN.

How Longer Saccade Latencies Lead to a Competition for Salience

Frans A. J. Verstraten, M. Wiering, I. Hooge, 2011, Psychological science.

2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

Marco Wiering, Amir Shantia, Eric Begue, 2011, IJCNN 2011.

Unraveling Patient Heterogeneity in ICU With Deep Embedded Clustering Using Co-morbidity, Clinical Examination, and Laboratory Data

M. Wiering, A. Epema, R. Eck, 2020 .

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2009 .

Red Queen dynamics in a predator-prey ecosystem

Walter de Back, M. Wiering, E. D. Jong, 2006, GECCO '06.

Multi-Layer Support Vector

M. Wiering, 2014 .

A Deep Convolutional Neural Network for Location Recognition and Geometry based Information

Lambert Schomaker, M. Wiering, M. Sabatelli, 2018 .

A Deep Convolutional Neural Network for Location Recognition and Geometry based Information

Lambert Schomaker, M. Wiering, M. Sabatelli, 2018 .

Reinforcement Learning in Dynamic Environments using Instantiated Information

Marco Wiering, M. Wiering, 2001, ICML.

Hierarchical Reinforcement Learning for Real-Time Strategy Games

Marco Wiering, Madalina M. Drugan, Remi Niel, 2018, ICAART.

Adversarial Reinforcement Learning in a Cyber Security Simulation

Marco Wiering, Madalina M. Drugan, Richard Elderman, 2017, ICAART.

On Learning Soccer Strategies

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1997, ICANN.

Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study

Marco Wiering, Juergen Schmidhuber, Rafal Salustowicz, 1997 .

Reinforcement Learning and Markov Decision Processes

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012, Reinforcement Learning.

Convergence of Model-Based Temporal Difference Learning for Control

M.A. Wiering, H. van Hasselt, M. Wiering, 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2016, VISIGRAPP.

Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Deep Colorization for Facial Gender Recognition

Marco Wiering, Emmanuel Okafor, Jonathan Hogervorst, 2017 .

Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer

Marco Wiering, Wouter Frencken, Emmanuel Okafor, 2017, ICPRAM.

Memory-Based Memetic Algorithms

Marco Wiering, M. Wiering, 2004 .

Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement

Jürgen Schmidhuber, Jieyu Zhao, Marco Wiering, 1997, Machine Learning.

Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States

Lambert Schomaker, Marco Wiering, Hamidreza Kasaei, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Conclusions, Future Directions and Outlook

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012, Reinforcement Learning.

Classification system for mortgage arrear management

Nicolai Petkov, Zhe Sun, Marco Wiering, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Identifying and characterizing high-risk clusters in a heterogeneous ICU population with deep embedded clustering

M. Wiering, I. V. D. van der Horst, A. Epema, 2021, Scientific Reports.

Ensemble machine learning prediction and variable importance analysis of 5-year mortality after cardiac valve and CABG operations

M. Wiering, M. Nijsten, R. Henning, 2021, Scientific Reports.

Technical report 04-021 Learning-based model predictive control for Markov decision processes

B. Schutter, M. Wiering, H. Hellendoorn, 2015 .

Learning-based model predictive control for Markov decision processes

Bart De Schutter, Marco Wiering, Rudy R. Negenborn, 2005 .

The neural-SIFT feature descriptor for visual vocabulary object recognition

Marco Wiering, Sybren Jansen, Amirhosein Shantia, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning in Continuous Action Spaces

M.A. Wiering, H. van Hasselt, Hado van Hasselt, 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

Evaluating automatically parallelized versions of the support vector machine

Lambert Schomaker, Olarik Surinta, Marco Wiering, 2016, Concurr. Comput. Pract. Exp..

Multi-Layer Support Vector Machines

Marco Wiering, Lambertus Schomaker, M. Wiering, 2014 .

A framework for brain learning-based control of smart structures

Marco Wiering, Carsten Könke, Hamid Radmard Rahmani, 2019, Adv. Eng. Informatics.

Fractional Transfer Learning for Deep Model-Based Reinforcement Learning pdf

Matthia Sabatelli, Marco A. Wiering, Remo Sasso, 2021, ArXiv.

Region enhanced neural Q-learning for solving model-based POMDPs

Marco Wiering, Thijs Kooi, M. Wiering, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Reinforcement Learning

Marco Wiering, Martijn van Otterlo, M. Wiering, 2014, Adaptation, Learning, and Optimization.

Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition

Olarik Surinta, Marco Wiering, Lambertus Schomaker, 2017, ICPRAM.

Analyzing Temporal Patterns in Behavioral Data with Liquid State Machines Master

M. Wiering, P. Lewinski, M. D. Uyl, 2016 .

Deep Support Vector Machines for Regression Problems

Marco Wiering, Lambertus Schomaker, Marten Schutten, 2013 .

A Model Based Method for Automatic Facial Expression Recognition

Marco Wiering, Marten den Uyl, Hans van Kuilenburg, 2005, ECML.

Two Novel On-policy Reinforcement Learning Algorithms based on TD(λ)-methods

M.A. Wiering, H. van Hasselt, M. Wiering, 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

Proceedings of the 12th Belgian-Dutch Conference on Machine Learning

M. A. Wiering, M. Wiering, 2002 .

One-vs-One classification for deep neural networks

Marco Wiering, Lambert Schomaker, Sheng He, 2020, Pattern Recognit..

Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation

Marco Wiering, Floris van Beers, Emmanuel Okafor, 2019, ICPRAM.

Hyperspectral demosaicking and crosstalk correction using deep learning

Lambert Schomaker, Marco Wiering, Klaas Dijkstra, 2018, Machine Vision and Applications.

Recognition of handwritten characters using local gradient feature descriptors

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015, Eng. Appl. Artif. Intell..

Data Augmentation for Plant Classification

Lambert Schomaker, Marco Wiering, Pornntiwa Pawara, 2017, ACIVS.

Active learning for reducing labeling effort in text classification tasks

Lambert Schomaker, Marco Wiering, Gideon Maillette de Buy Wenniger, 2021, BNAIC/BENELEARN.

CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting

Marco Wiering, Lambert Schomaker, Klaas Dijkstra, 2021, Neurocomputing.

CentroidNet: A Deep Neural Network for Joint Object Localization and Counting

Lambert Schomaker, Marco Wiering, Klaas Dijkstra, 2018, ECML/PKDD.

Adaptive traffic signal control with actor-critic methods in a real-world traffic network with different traffic disruption events

Marco Wiering, M. S. Mesgari, Mohammad Aslani, 2017 .

Model-based multi-objective reinforcement learning

Marco Wiering, Madalina M. Drugan, Maikel Withagen, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Computing Optimal Stationary Policies for Multi-Objective Markov Decision Processes

M.A. Wiering, E.D. de Jong, M. Wiering, 2007, 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning.

Markov Decision Processes: Concepts and Algorithms

Marco Wiering, Martijn van Otterlo, M. Wiering, 2012 .

Machine Learning for Digital Twins to Predict Responsiveness of Cyber-Physical Energy Systems

Marco Wiering, Jacques Verriet, Jeroen Broekhuijsen, 2020, 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems.

Comparing exploration strategies for Q-learning in random stochastic mazes

Marco Wiering, Madalina M. Drugan, Arryon D. Tijsma, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Learning to Play Pac-Xon with Q-Learning and Two Double Q-Learning Variants

Marco Wiering, Madalina M. Drugan, Jits Schilperoort, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

IEEE Symposium Series on Computational Intelligence

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2015 .

Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran

Marco Wiering, Stefan Seipel, M. S. Mesgari, 2018, Adv. Eng. Informatics.

Feature selection for Bayesian network classifiers using the MDL-FS score

Marco Wiering, Madalina M. Drugan, M. Wiering, 2010, Int. J. Approx. Reason..

Implementing a neural network for the GPU

M. Wiering, V. Codreanu, 2012 .

Connectionist reinforcement learning for intelligent unit micro management in StarCraft

Marco Wiering, Amirhosein Shantia, Eric Begue, 2011, The 2011 International Joint Conference on Neural Networks.

Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks

Marco Wiering, Sjoerd van den Dries, M. Wiering, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Efficient model-based exploration

Jürgen Schmidhuber, Marco Wiering, J. Schmidhuber, 1998 .

Reinforcement learning to train Ms. Pac-Man using higher-order action-relative inputs

Marco Wiering, Luuk Bom, Ruud Henken, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Continuous residual reinforcement learning for traffic signal control optimization

Marco Wiering, Stefan Seipel, Mohammad Aslani, 2018, Canadian Journal of Civil Engineering.

Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead

Marco Wiering, Matthia Sabatelli, Valeriu Codreanu, 2018, ICPRAM.

Categorizing Children: Automated Text Classification of CHILDES files

Marco Wiering, Freek van Polen, Peter Knoth, 2008 .

The Dutch AIBO Team 2004

Arnoud Visser, Mannes Poel, Marco Wiering, 2004 .

Predicting chaotic time series using machine learning techniques

Marco Wiering, Luuk Boulogne, Alef Sterk, 2017 .

Developing adaptive traffic signal control by actor–critic and direct exploration methods

Marco Wiering, Stefan Seipel, M. S. Mesgari, 2019, Proceedings of the Institution of Civil Engineers - Transport.

Multi-Agent Reinforcement Leraning for Traffic Light Control

M. Wiering, 2000, ICML.

Forest Fire Control with Learning from Demonstration and Reinforcement Learning

Matthia Sabatelli, Marco A. Wiering, Travis Hammond, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Deep Learning with Data Augmentation for Fruit Counting

Marco Wiering, Lambert Schomaker, Pornntiwa Pawara, 2020, ICAISC.

Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification pdf

Marco Wiering, Berlian Al Kindhi, Ben Beinke, 2020, ArXiv.

Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning

M. Wiering, M. Sabatelli, Remo Sasso, 2022, Trans. Mach. Learn. Res..

Artificial Intelligence

Bart Verheij, Marco Wiering, M. Wiering, 2017, Communications in Computer and Information Science.

Reinforcement learning algorithms for solving classification problems

Lambert Schomaker, Marco Wiering, Hado van Hasselt, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition

Mahir Faik Karaaba, Marco Wiering, Jos van de Wolfshaar, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

The Neural Support Vector Machine

Marijn F. Stollenga, Marco Wiering, Lambertus Schomaker, 2013 .

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control

Marco Wiering, Vishal S. Rangras, Maxim Friesen, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Intelligent Trac Light Control

Marco Wiering, Jilles Vreeken, Arne Koopman, 2004 .

International Conference on Control, Automation, Robotics and Vision

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2010 .

Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning

Lambert Schomaker, Marco Wiering, Francesco Bidoia, 2021, Robotics Auton. Syst..

Performance of neural networks for localizing moving objects with an artificial lateral line

Luuk H Boulogne, Ben J Wolf, Marco A Wiering, 2017, Bioinspiration & biomimetics.

Fixed partitioning and salient points with MPEG-7 cluster correlograms for image categorization

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2010, Pattern Recognit..

Junction detection in handwritten documents and its application to writer identification

Lambert Schomaker, Marco Wiering, Sheng He, 2015, Pattern Recognit..

Comparing Generative Adversarial Network Techniques for Image Creation and Modification pdf

Marco Wiering, Mathijs Pieters, M. Wiering, 2018, ArXiv.

Q-learning with experience replay in a dynamic environment

Marco Wiering, Mathijs Pieters, M. Wiering, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Exploiting Best-Match Equations for Efficient Reinforcement Learning

Shimon Whiteson, Marco Wiering, Harm van Seijen, 2011, J. Mach. Learn. Res..

The QV family compared to other reinforcement learning algorithms

Marco Wiering, Hado van Hasselt, H. V. Hasselt, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Convergence and Divergence in Standard and Averaging Reinforcement Learning

Marco Wiering, M. Wiering, 2004, ECML.

An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning

Lambert Schomaker, Marco Wiering, Yifei Chen, 2021, ICAART.

Learning to Play Board Games using Temporal Dierence Methods

Marco Wiering, Jan Peter Patist, Articial Intelligence, 2005 .

Hierarchical Reinforcement Learning for Playing a Dynamic Dungeon Crawler Game

Marco Wiering, Remi Niel, M. Wiering, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Early Detection of Sepsis Induced Deterioration Using Machine Learning

Marco Wiering, Vincent M. Quinten, Francesco Dal Canton, 2018, BNCAI.

Combining Visual and Contextual Information for Fraudulent Online Store CIassification

Marco Wiering, Wouter Mostard, Bastiaan Zijlema, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Reinforcement Learning Soccer Teams with Incomplete World Models

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1999, Auton. Robots.

Robust Real-Time Vowel Classification with an Echo State Network

Ted Schmidt, Marco Wiering, Ronald A. J. van Elburg, 2010 .

A Path Planning for Line Segmentation of Handwritten Documents

Lambert Schomaker, Olarik Surinta, Mahir Faik Karaaba, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Unsupervised Keyphrase Extraction for Web Pages

Marco Wiering, Tim Haarman, Bastiaan Zijlema, 2019, Multimodal Technol. Interact..

Balancing Imbalance: On using reinforcement learning to increase stability in smart electricity grids

Marco Wiering, Marten Schutten, Pamela MacDougall, 2017 .

Predicting long-term mortality with first week post-operative data after Coronary Artery Bypass Grafting using Machine Learning models

Marco Wiering, Jose Castela Forte, Hjalmar R. Bouma, 2017, MLHC.

Machine learning for multi-view eye-pair detection

Lambert Schomaker, Mahir Faik Karaaba, Marco Wiering, 2014, Eng. Appl. Artif. Intell..

CMAC models learn to play soccer

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1998 .

Evolving Soccer Strategies

Jürgen Schmidhuber, Marco Wiering, Rafal Salustowicz, 1997, ICONIP.

Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors

Lambert Schomaker, Florin Schimbinschi, Marco Wiering, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Kernel Learning in Support Vector Machines using Dual-Objective Optimization

M. Wiering, L. Schomaker, Auke-Dirk Pietersma, 2011 .

An Ensemble of Deep Support Vector Machines for Image Categorization

Remco C. Veltkamp, Marco Wiering, Azizi Abdullah, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Deep Learning for Identification of Acute Illness and Facial Cues of Illness

M. Wiering, R. Henning, John Axelsson, 2021, Frontiers in Medicine.

Comparative study between deep learning and bag of visual words for wild-animal recognition

Olarik Surinta, Mahir Faik Karaaba, Marco Wiering, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Ensembles of novel visual keywords descriptors for image categorization

M. Wiering, R. Veltkamp, A. Abdullah, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Using continuous action spaces to solve discrete problems

Marco Wiering, Hado van Hasselt, H. V. Hasselt, 2009, 2009 International Joint Conference on Neural Networks.

Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment

Lambert Schomaker, Marco Wiering, Rik Timmers, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).