Graduation projects: TO be updated
Current
 Thanasis Trantas
 Ruurd Bijlsma
 Menno Liefstingh
 Jits Schilperoort
 Floris van Beers
 Jeroen Hoekstra
 Varun Ravi Varma
 Leon Pater
 Egbert Brilman
 Remo Sasso
2021
-  Lennart Faber.Recognising Darknet Market Vendors using Author Verification Methods. Keywords: Machine Learning, Forensics and AI
 -  Ivo de Jong.The Web-Graph: Clustering, Collecting & Classifying. Keywords: Machine Learning, Internet
 -  Quintin van Lohuizen.Training Deep Neural Networks with Soft Loss for Strong Gravitational Lens Detection. Keywords: Computer Vision, Astronomy
 -  Herman Groenbroek.A Machine Learning Approach to Automatic Language Identification of Vocals in Music. Keywords: Deep Learning, Sound Recognition
2020
 -  Diego Cabo Golvano.Hierachical Reinforcement Learning Approach to Lifelng Learning. Keywords: Reinforcement Learning, Multi-task Learning
 -  Henry Maathuis.On the Scalability of Deep Inverse Reinforcement Learning in High-dimensional State Spaces. Keywords: Inverse Reinforcement Learning, Deep Learning
 -  Folke Drost.Uncertainty Estimation in Deep Neural Networks for Image Classification . Keywords: Object Recognition, Uncertainty in Deep Learning
 -  Sanne Eggengoor. Using Unlabeled Data with Domain Knowledge: Overcoming the Need for Large Labeled Datasets. Keywords: Machine Learning, Weak Supervision
 -  Andreas Pentaliotis.Investigating Overestimation Bias in Reinforcement Learning. Keywords: Q-learning, Overestimation Bias
 -  Dick Ameln. Deep Spatiotemporal Feature Learning for Abnormal Event Detection and Localization in Video. Keywords: Deep Learning, Anomaly Detection 
 -  Li Meng. Applying Reinforcement Learning with Monte Carlo Tree Search to the Game of Draughts. Keywords: Board Games, Alpha-Draughts 
 -  Neda Ahmadi. A comparative study of state-of-the-art speech recognition models for English and Dutch. Keywords: Speech Recognition, Recurrent Neural Networks
 -  Panagiotis Giagkoulas. Predicting online article popularity based on text-generated features. Keywords: Natural Language Processing, Machine Learning 
	
2019
 -  Marc Groefsema. Deep Learning for Audiovisual Speech Recognition using the Correspondence Task. Keywords: Multimodal Learning, Deep Learning 
 -  Paul Ozkohen. Deep Attribute Learning for Zero-shot Recognition and Explainability. Keywords: Explainable AI, Deep Learning 
 -  Noel Luneburg. Clasifying Infection Stages in Patients with Ventricular Assist Devices. Keywords: Medical Diagnosis, Deep Learning 
 -  Tim Haarman. Efficient Classification and Unsupervised Keyphrase Extraction for Web Pages . Keywords: Natural Language Processing, Machine Learning 
 -  Guillem Casado. Performing a Piece Collecting Task with a Q-learning Agent. Keywords: Reinforcement Learning, Multi-layer Perceptrons
 -  Yannik Beckersjuergen. Uncertainty Estimation for Object Detection. Keywords: Object Detection, Modelling Uncertainty 
 -  Stefan Bussemaker. Self-Adaptive Multi-Objective Option Monte-Carlo Tree Search for General Video Game Play. Keywords: MCTS, Games 
 -  Hirad Emami Alagha. Communicating Intention in Decentralized Multi-Agent Multi-Objective Reinforcement Learning. Keywords: Multi-agent systems, Multi-objective Reinforcement Learning
 -  Richard Elderman. Exploring Improvements for Gradient Descent Optimization Algorithms in Deep Learning. Keywords: Gradient Descent Algorithms, Neural Networks 
 -  Michael LeKander.Episodic Control with Drift Compensation. Keywords: Reiforcement Learning, Video Games 
 -  Wouter Mostard.Combining Visual and Contextual Information for Fraudulent Online Store Classification. Keywords: Machine Learning, Web Mining
2018
 -  Mingcheng Ding.Reinforcement Learning for Offshore Crane Set-Down Operations. Keywords: Reinforcement Learning, Marine Engineering
 -  Maikel Grobbe. Using a Reinforcement Learning Agent and Contextual Information to Retrieve Information Efficiently. Keywords: Information Retrieval, Reinforcement Learning
 -  Luuk Boulogne  Data Set Extension with Generative Adversarial Nets Keywords: Generative Adversarial Nets, Deep Learning, Computer Vision 
 -  Marcel Beishuizen  Structural graph learning in real-world digital forensics Keywords: Graph mining, machine learning 
 -  Rik Timmers  Learning to Grasp Objects with Reinforcement Learning Keywords: Reinforcement Learning, Robotics Grasping 
 -  Siebert Looije  Pre-Trained Deep Convolutional Neural Networks for Face Recognition Keywords: Deep Learning, Face Recognition
2017
 -  Matthia Sabatelli  Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks Keywords: Deep Learning, Chess Evaluation Function
 -  Jos van de Wolfshaar  Deep Reinforcement Learning of Video Games  Keywords: Deep Reinforcement Learning, Video Games
 -  Steven Bosch  Medical Incident Report Classification using Context-based Word Embeddings  Keywords: Text Mining, Word Embeddings
 -  Michiel van de Steeg. Applying Echo State Networks with Reinforcement Learning to the Foreign Exchange Market. Keywords: Financial Trading, Reinforcement Learning
 -  Robert Musters  Topic Detection in Microblogs using Big Data and Neural Networks  Keywords: Text Mining, Word2Vec Neural Network
 -  Folkert de Vries. Crop Yield Prediction using Artificial Neural Networks. Keywords: Precision Agriculture, Machine Learning
2016
 -  Martijn Wagenaar  Predicting Goal-Scoring Opportunities in Soccer by using Deep Convolutional Neural Networks   Keywords: Deep Learning, Sport Analytics 
 -  Gereon Vienken  Scale Selection in Convolutional Neural Networks with Dimensional Min-Pooling and Scaling Filters   Keywords: Deep Learning, Scale Selection 
 -  Tom Gankema  Context-enhanced text recognition using semantic vector space models   Keywords: Word2Vec, Text Recognition
 -  Gerben Bergwerff  Using Machine Learning Techniques for Autonomous Planning and Navigation with Groups of Unmanned Vehicles   Keywords: Multi-agent Planning, Reinforcement Learning
 -  Hein de Haan  Job Shop Scheduling with Metaheuristics for Car Workshops   Keywords: Metaheurisiitcs, Combinatorial Optimization 
 -  Marten Schutten  Balancing Imbalances: On using reinforcement learning to increase stability in smart electricity grids   Keywords: Energy Trading, Reinforcement Learning 
 -  Rik Smit  Automatics animal detection using unmanned aerial vehicles in natural environments   Keywords: Computer Vision, Unmanned Aerial Vehicles 
 -  Vincent Slot   Information Retrieval with Dimensionality Reduction using Deep Belief Networks   Keywords: Restricted Boltzmann Machines, Information Retrieval
2015
 -  Ciaran Lier   Applying Machine Learning Techniques to Short Term Load Forecasting.
  Keywords: Time Series Analysis, Energy Consumption Prediction
 -  Jurriaan Duyne   Analyzing Temporal Patterns in Behavioral Data with Liquid
State Machines   Keywords: Time Series Analysis, Liquid State Machine
 -  Bich Ngoc Do   Neural Networks for Automatic Speaker, Language and Sex Identification
  Keywords: Speech Recognition, Recurrent Neural Networks 
 -  Marc Volger   Human detection and recognition in visual data from a swarm of unmanned aerial and ground vehicles through dynamic navigation   Keywords: Computer Vision, Swarm Robotics  
2014
 -  Sybren Jansen   The Neural-SIFT Feature Descriptor for Visual Vocabulary Object Recognition  Keywords: Deep learning, SIFT, Object Recognition
 -  Michiel van der Ree   Explorations in Intelligible Classification   Keywords: Supervised Dimensionality Reduction, fMRI Classification
 -  Tim Kuipers   Spread Maximization: A Novel Unsupervised Learning Paradigm Applied to Convolutional Neural Networks   Keywords: Neural Networks, Unsupervised Learning
 -  Adrian Millea   Explorations in Echo State Networks  Keywords: Time-Series Prediction, Machine Learning, Reservoir Computing.
 -  Ruud Henken   Indoor-Localization using a mobile phone  Keywords: Localization, Smart Phones, Machine Learning.
2013
 -  Zhe Sun   Classification System for Mortgage Arrear Managment  Keywords: Data Mining, Financial Prediction (the pdf contains omitted confidential parts).
 -  Harm Hermsen   Using GPS and Accelerometer Data  for Rowing Race Tracking  Keywords: Tracking, Signal Processing.
 -  Florin Schimbinschi   Machine Learnning for 3D Face Recognition Using Off-the-shelf sensors  Keywords: 3D Face Recognition, Machine Learning, Computer Vision.
 
 -  Nino van Hooff.   Performance assessment and feedback of fitness exercises using smartphone sensors.  Keywords: Fitness Exercises, User Interfaces, Signal Processing. 
 -  Gijs Slijpen.   Machine to Machine Perception for Safer Traffic. Keywords: Safety Warning Systems, Tracking, Collision assessment. 
2012
 -  Francesco Puglierin.   A Bandit Inspired Memetic Algorithm for Quadratic Assignment Problems Keywords: Memetic Algorithms, Combinatorial Optimization 
 -  Zetao Chen.   Supervised Feature Selection Based on Generalized Matrix Learning Vector Quantzation Keywords: Supervised learning, Feature Selection, LVQ
 -  Paul Neculoiu.   Migrating robot control systems, towards the universality of robotic brains Keywords: Robotics, Machine Learning
 -  Ke Tran.   Unsupervised and Supervised Multilingual Learning for Resource-poor Languages Keywords: Text Mining, Morphological Segmentation
 -  Jaap Oosterbroek.    Using Max-Trees with Alternative Connectivity Classes in Historical Document Processing Keywords: Segmentation, Optical Character Recognition
 -  Egbert van der Wal.    Object Grasping with the NAO Keywords: Continuous Reinforcement Learning, Object Manipulation
2011
 -  Amirhosein Shantia.    Automatic Rbot Navigation Using Reinforcement Learning  Keywords: Model-based RL, Robot Navigation, Machine Vision 
 -  Fons Vermeulen.    Disruption Managment at NS: Crew scheduling using Multi Agent Systems.  Keywords: Ant Colony Systems, Logistic Planning
 -  Maurice Mulder.    Improving Online Image Queries with Computer Vision.  Keywords: Computer Vision Tool, Visual Descriptors, Machine Learning
 -  Herke van Hoof.    Interaction between Face Detection and Learning Tracking Systems for Autonomous Robots.  Keywords: Visual Tracking, Autonomous Robots, Face Detection 
 -  Marijn Stollenga.    Using Guided Autoencoders on Face Recognition.  Keywords: Face Recognition, Autoencoders, Reinforcement Learning
 -  Popke Altenburg.    Content-Based Refinement of Keyword-Based Image Retrieval.  Keywords: Machine Vision, SIFT 
 -  Harrie de Groot.    iNewsReader: Personal Netnews recommendation using Naïve Bayes and Support Vector Machines.  Keywords: Text classification, Machine Learning
2010
 -  Coen van Leeuwen.  Driver Modeling and Lange Change Maneuver Prediction.  
 Keywords: Machine Learning, Traffic modeling.
 -  Richard Berendsen.  Movie reviews: do words add up to a sentiment?
 Keywords: Latent Semantic Analysis, Text Categorization
 -  Tom van der Kleij.  Monte-Carlo Tree Search and Opponent Modeling through Player Clustering in no-limit Texas Hold'em Poker. Keywords: Poker, Monte Carlo Tree Search
 -  Auke Dirk Pietersma.  Feature Space Learning in Support Vector Madhines Through Dual Objective Optimization. Keywords: SVMs, Kernel learning
 -  Lude Feldbrugge.  Using Reinforcement Learning to Make Optimal Use of Available Power and Improving Overall Speed of a Solar-Powered Boat. Keywords: Reinforcement learning, solar-power applications
 -  Jean-Paul van Oosten.  Can Markov properties be learned by hidden Markov modelling algorithms?  Keywords: Hidden Markov Models, Handwriting Recognition
 -  Herman Eldering. Classification of rodent behavior using seismic signals.
Keywords: Time series analysis, support vector machines
 -  Roeland van Batenburg.  Person Detection in the Restaurant of the Future  Keywords: Person Detection, Face Detection
 -  Ted Schmidt.  Robotics: Environmental Awareness Through Cognitive Sensor Fusion. Keywords: Sensor Fusion, Swarm Robotics
2009
 -  Stefan Renkema.  Object Fingerprinting. Keywords: Machine Vision, Car Recognition
 -  Jan Gerard Gerrits.  Optimizing a Team of Quake 3 Bots for the Capture the Flag Game Type. Keywords: Neural Networks, Quake 3
2008
 -  Wouter Lieffijn. .Heterogeneous Neuro-Evolutionary Specialization of Collective Rover behaviors. Keywords: Evolutionary Neural Networks, ESP
 -  Seth Kingma. .Learning to Rank: Improving the Performance of an Entropy Driven Advisory System Using Implicit User Feedback . Keywords: Recommender System, Machine Learning 
 -  Leonidas Lefakis.  Transductive Learning for Document Classification and Handwritten Character
Recognition. Keywords: Transductive learning, Pattern Recognition 
 -  Bas Jacobs 
Learning Othello using Cooperative and Competitive NeuroEvolution  Keywords: Othello, Evolutionary Neural Networks
 - Wilco Moerman
Hierarchical Reinforcement Learning: Assignment of Behaviours to Subpolicies by Self-Organization Keywords: Hierarchical Reinforcement Learning, HABS.
 -  Michiel Vuurboom
Learning Othello using Neuroevolution and Temporal Difference Learning Keywords: Othello, Evolutionary Neural Networks
 -  Stefan Kok
Liquid State Machine Optimization Keywords: Liquid State
Machines, Genetic Algorithms 
2007
 -  Stefan Leijnen
Emerging Symbols Keywords: Symbol Grounding, Neural Networks 
 - Robbie Veldkamp 
A Biologically Plausible Actor/Critic Model Keywords: Reinforcement Learning, Neuro-biology
 - Florian Ockhuysen Detecting Suspicious Behavior From Motion Patterns.
Keywords: Time-delay Neural Networks, Closed Circuit Television
 -  Folkert de Boer
The role of Speciation in Spatial Coevolutionary Function Approximation
 Keywords: Spatial Co-evolution,  Theoretical Biology
 -  Martijn Hofland 
Combining Manual Training and Enforced Sub-Populations to Control Forest Fires Keywords:
Forest Fire Control, Enforced Sub-Populations
 -  Joachim de Greeff
Evolving Communication in Evolutionary Robotics Keywords:
Evolutionary Robotics, Robot communication
 - Joost Westra 
Evolutionary Neural Networks Applied in First Person Shooters Keywords:
Evolutionary Neural Networks, Quake 3 
 - Bouke van der Spoel
Algorithms for Selective Search Keywords: Game Playing, Selective Search
 - Erik Govers 
Fast Local Mapping for Mobile Robots Keywords:
Robotics, Map building 
2006
 - Harm Aarts
Interfacing between a Cerebellar Model and a Robotics Simulator 
Keywords: Cerebellar Model, Webots Robotics Simulator 
 - Jelmer de Vries 
Object Recognition: A Shape-Based Approach using Artificial Neural Networks 
Keywords: Object Recognition, Neural Networks
 - Lars Zwanepol 
A Serial Population Algorithm for Dynamic Optimization Problems 
Keywords: Genetic Algorithms, Dynamic Environments
 -  Sjoerd de Man: Task Scheduling in Multi Agent Systems --- customer
allocation within a taxi company.
Keywords: Multi Agent Systems, Distributed Planning
 -  Walter de Back: 
Virtual Life: Eco-evolutionary experiments with Situated Agents 
Keywords: Artificial Life, Theoretical Biology
 -  Leo Pape: 
Neural Machines for Music Recognition Keywords: Time-series
classification, Neural Networks
 -  Hado van Hasselt: Reinforcement Learning using Continuous Actions.
Keywords: Reinforcement Learning, Neural Networks
2005
 - Sander Maas:  
Control of a Pneumatic Robot Arm by means of Reinforcement Learning
 Keywords: Robot-control, reinforcement learning
 - Marco Verhoeven: Reinforcement Learning and the Tragedy of the Commons.
Keywords: Multi agent learning, Tragedy of the Commons
 - Trude Gentenaar and Job Tiel Groenestege: Enhancing information ---
Information Extraction and Concept Matching using the Semantic Network.
Keywords: Semantic Network, Natural Language Processing
 - Michal Sindlar: A Modular Machine Learning Approach to the Recognition of
Facial Expressions of Emotion. Keywords: Neural Networks, Emotion Recognition
 - Marcel Hiel: Learning Interaction Protocols by Overhearing. Keywords:
Markov Models, Interaction Protocols
 - Hans van Kuilenburg: Expressions Exposed --- Model Based Methods for
Automatic Analysis of Face Images. Keywords: Active Appearance Models, Neural
Networks
2004
 - Siebren Roorda: Text Classification with Support Vector Machines.
Keywords: Support Vector Machines, Website Classification
 - Allard Kamphuisen: 
 A Computational Model of Cortical Functioning at Cellular Level 
Title-Page . Keywords: Computational Neural Network Models.
 - Jilles Vreeken:  On real-world temporal pattern recognition using Liquid State Machines. Keywords: Time series analysis, Liquid State Machines.
 - Edgar de Graaf: Trading Agents --- Learning to Procure Goods and Services.
Keywords: Trading Agent Competion, Adaptive Agents
 - Daan Wierstra:  Statistical Models for Non-Markovian Control Tasks. Keywords: Hidden Markov Models, POMDPs.
 - Matthijs van Leeuwen:  Spike Timing
Dependent Structural Plasticity in a single model neuron.  Keywords: Spiking Neural Networks, Neurobiology.
 - Martin van Es: A Reinforcement Learning Destination Control Agent for
Elevators in High Buildings. Keywords: Reinforcement Learning, Multi Agent
Systems
 - Arne Koopman:  Hardware-Friendly Genetic Regulatory Networks in POEtic tissue. Keywords: Genetic Regulatory Networks
 - Jorn Bakker: Online Adaptive Learning in a Role Playing Game. Keywords:
Reinforcement Learning, Multi-user Dungeons
2003
 - Gerbrand ten Napel:      Modelling Evolution using Asynchronous Cellular
Automata. Keywords: Artificial Life, Gaia theory
 - Henk Mannen:             Learning to play chess using Reinforcement
Learning with database games. Keywords: Reinforcement learning, Chess
 - Jan-Peter Patist:        Learning to play draughts using reinforcement
learning with neural networks. Keywords: Reinforcement learning, Draughts
 - Jiska van Dijnhoven:     Knowledge Assessment using Bayesian Networks ---
a case study in the domain of algebraic expectation. Keywords: Bayesian
Networks, Intelligent Tutoring Systems
 - Patrick Pepels:          I gurgle with Pleasure! The role of emotions in
human behavior and their application in intelligent agents. Keywords:
Emotional Agents
 - Rudy Negenborn:          Robot Localization and Kalman Filters --- On
finding your position in a noisy world. Keywords: Kalman Filters, Robot
Localisation
 - Tijn van der Zant:       RoboTalk --- On the grounding of symbols through
embodied learning. Keywords: Robotics, Language
 - Marko Verbeek: 3APL as Programming Language for Cognitive Robots.
Keywords: Agent Programming Languages, Robot Control
2002
 - Emiel Ubink: Impliciet en expliciet modelleren van opponenten in een role
playing kaartspel. Keywords: Reinforcement Learning, Opponent Modelling
2001
 - Jasper de Jong: Multiplt Ant Colony Systems for the Busstop Allocation
Problem. Keywords: Combinatorial Optimization, Ant Colony Systems
 - Geert Hoekstra: Learning an Communicating in RoboCup. Keywords: RoboCup
Soccer Simulation, Reinforcement Learning
2000
 - Kirsten ten Tusscher: Learning to cooperate by using communication in a
simulated predator prey pursuit domain. Keywords: Reinforcement Learning,
Communication
 - Nils Rooijmans: Cooperatie in Multi Agent Systemen. Keywords:
Reinforcement Learning, Multi Agent Systems.