Graduation Projects

Ph.D. Supervision

2015: Frederik Christiaan Schadd (co-promotor Nico Roos). Ontology Mapping with Auxiliary Resources. Download

2014: Peter A.M.G. de Kock (co-promotor H.J. van den Herik). Anticipating Criminal Behaviour. Download

 Ph.D. Assessment Committees

2020:

  • Armon Toubman. Calculated Moves, with subtitle Generating Air Combat Behaviour. Faculty of Science, Leiden University, the Netherlands.

2019:

  • Chiara Sironi. Monte-Carlo Tree Search for Artificial General Intelligence. Department of Knowledge Engineering (DKE), Maastricht University, the Netherlands.
  • Wei Zhao, Motion-Based Object Segmentation in Video Sequences. Department of Knowledge Engineering (DKE), Maastricht University, the Netherlands.

2017:

  • Firat Ismailoglu – machine learning: multi-classifier systems, error correcting codes, reliable classification, transfer learning

2016:

  • Bijan Ranjbar-Sahraei, Dynamic Social Graphs: Mining and Modeling.

2015:

  • Daan Bloembergen, Multi-Agent Learning Dynamics.
  • Hendrik Baier, Monte-Carlo Tree Search Enhancements for One-Player and Two-Player Domains.

2014:

  • Siqi Chen. Complex practical negotiations based on autonomous agents.

2013:

  • Daniel Hennes. Multiagent learning – dynamic games and applications.
  • Haitham Bou Ammar. Autonomous transfer in reinforcement learning.
  • Pim Nijssen. Monte-Carlo Tree Search for Multi-Player Games.

2012:

  • Michael Kaisers. Learning against Learning.

2011:

  • Marc Ponsen. Strategic Decision-Making in Complex Games.
  • Maarten Schadd. Selective Search in Games of Different Complexity.
  • Nyree Lemmens. Bee-inspired Distributed Optimization.

2010:

  • Guillaume Chaslot. Monte-Carlo Tree Search.
  • Jahn Satho. Solving Difficult Game Positions.

MSc Supervision

2020: Yoeri van der Zee. Deep Anomaly Detection for Fraud Investigations. Master of Science, Artificial Intelligence. University of Amsterdam. August 2020.

2020: Jari A.C. Marijnissen. Improving Metadata Quality via Normalization of Named-Entitites. Master of Science in Data Science and Entrepreneurship, Jheronimus Academy of Data Science. June 2020.

2020: Manasa Bath. Emotion-Target Extraction for Criminal & Fraud Investigation. Master of Science, Artificial Intelligence. University of Amsterdam. August 2020.

2020: Narendiran Chembu. A Study on loss-centric unsupervised domain adaptation techniques on BERT for entity detection in low resource text. Master of Science, Artificial Intelligence. University of Amsterdam. August 2020.

2020: Krist Shingjergji. Relation Extraction from Structured Product Labels using Adaptive Training. Master of Science of Data Science for Decision Making at the Department of Data Science and Knowledge Engineering of the Maastricht University.

2020: Sofia Chatzopoulou. Automatically building annotated training data in other languages. Master of Science Artificial Intelligence (AI), Department of Artificial Intelligence and Data Science, Faculty of Science and Engineering, University of Maastricht.

2020: Jiamian Liu. Relation Extraction with Insufficient Labeled Data. Joint University of Amsterdam and Vriie University Master of Science in Computer Science. University of Amsterdam and Vrije University Amsterdam.

2020: Jacob Salem. Increasing Robustness for Text Mining and Information Retrieval. Master of Science Artificial Intelligence (AI), Department of Artificial Intelligence and Data Science, Faculty of Science and Engineering, University of Maastricht.

2019: Francesco Bortolussi. Improving Automatic Document Classification by Studying the Effects of Transfer Learning and Reinforcement Learning on Deep Learning Models. Master of Science. Leiden Institute of Advanced Computer Science (LIACS), Leiden University.

2019; Zoe Gerolemou. Target-Based Sentiment Analysis as a Sequence Tagging Task. Master of

2019: Andre Roelofs. Community and Anomaly Detection. Department of Computer Science, Avans University of Applied Sciences, ‘s-Hertogenbosch, the Netherlands.

2019: Somtochukwu  Enendu. Predicting Semantic Labels of Text Regions in Heterogeneous Document Images. Master of Science in Computer Science, Data Science and Technology, Twente University, the Netherlands.

2019: Upasana Biswas. Normalization of Extracted Named-Entities in Text Mining. Master of Science in Artificial Intelligence, Architecture of Information Systems Research Group, Department of Mathematics and Computer Science. Eindhoven Technical University, the Netherlands.

2019: Aimilios Voma. Empirical Survey On Text Representations In Sentiment Analysis. Master of Science, Computer Science, Vrije Universiteit & Universiteit van Amsterdam, Amsterdam, The Netherlands.

2019: Francesco Bortolussi. Improving Automatic Document Classification by Studying the Effects of Transfer Learning and Reinforcement Learning on Deep Learning Models. Master of Science. Leiden Institute of Advanced Computer Science (LIACS), Leiden University.

2019; Zoe Gerolemou. Target-Based Sentiment Analysis as a Sequence Tagging Task. Master of Science Artificial Intelligence (AI), Department of Artificial Intelligence and Data Science, Faculty of Science and Engineering, University of Maastricht.

2018: Thomas Helling. Anomaly detection in real-world networks. Master of Science. Leiden Institute of Advanced Computer Science (LIACS), Leiden University.

2018: Nela Bare: Evaluating Different Holistic Linguistic Information Extraction Techniques for the Detection of Anomalies in Large (Real-World) Data Sets, Master of Science Artificial Intelligence (AI), DKE, University of Maastricht.

2018: Thomas Prikkel: Reducing manual labor in Technology-Assisted Review. Master of Science, Leiden Institute of Advanced Computer Science (LIACS), Leiden University.

2018: Benedikt Heinrichs. Combining Anomaly Detection with Triples of Subject, Predicate and Object. Master of Science Artificial Intelligence (AI), DKE, University of Maastricht.

2018: Thomas Vrancken. Analysis of Philips Lifeline Case Notes using Natural Language Processing. Master of Science Artificial Intelligence (AI), DKE, University of Maastricht.

2017: Jeroen Boonen: Comparing Machine Learning Algorithms for Classifying Short Text Sections using Semantic Document Representations. Master of Science Artificial Intelligence (AI), DKE, University of Maastricht.

2017: Nadine Hermans. Topic Model Selection for Forensic Cyber-crime Investigators: Defining and Finding an Optimal Number of Topics. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2017: Jeroen Boonen: Comparing Machine Learning Algorithms for Classifying Short Text Sections using Semantic Document Representations. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2016: Julian Moritz Habrock. Efficient Image Classification on Smartphones within a limited search space using the example of a Meter-Reading App. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2016: Jeroen Smeets. Boosting Search Recall by using Machine Learning and Automatic Document Classification. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2016: Kerstin Borggrewe. Evaluation of String Distance Metrics for Entity Name Matching and Clustering. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2016: Julian Cloos: Implementing a Multi-Topic Image Classification System. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2016: Ruben Schwarzwald: Identification, Representation and Automatic Extraction of Temporal Expressions and Relations from Chemotherapy Treatment Regimens. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2015: Dries de Rydt. Matching and Prediction of Incomplete, Semi-Structured Textual Information. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2015: Philipp Hoppermann. Automated Radio Simulation in a Flight Simulation Application by Means of Text Mining. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2015: Michael Tannenbaum. Time Series Analysis on Text Data. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2015: Alexey Sibirtsev. Advanced Information Extraction and Data Analysis for Fraud Investigations. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2015: Lotte van der Ree. Deception Detection in Textual Messages. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2014: Nicolas Kau. Emotion Mining for On-Line Psychological Treatment. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2014: Oliver Trinnes. Visualization and Interactive Navigation for Search Result Lists in Law Enforcement and Investigations Applications. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2014: Lukas Kang. Product data matching in electronic commerce. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2014: Thomas Nowicki. Personalized recommendations for an on-line marketing platform. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2014: Yannick Thimister. Advanced Information Extraction in Text-Mining. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2013: Christian Andrich. Analyzing and enhancing Twitter messages for improved performance of common text mining and sentiment mining methods. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2013: Tim H.W. van Cann. Improving Document Feature Extraction and –Selection for Machine Learning. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2012: Michael Schneider. Improving opinion-mining based on opinion-impact-measurements. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2012: Gertjan Scholtes. Legacy Information Management. Faculty of Economics, Department of Information Management. Tilburg University.

2012: Bastian Küppers. How cryptanalysis can benefit from Artificial Intelligence search techniques. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

  1. Freek Maes. Authorship Disambiguation and Alias Resolution in Email Data. Masters Artificial Intelligence (AI), DKE, University of Maastricht

2012: Janina Jansen. Design and Implementation of a Text-Mining based Recommender System for the Tourism Branch. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2012: Sebastian Hinzelmann. The Benefit of Text Mining in the Domain of Insolvency Publications. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

2012: Sander Puts. Applying Text Mining Techniques for Homogeneity Analysis on International News. Bachelors Artificial Intelligence (AI), DKE, University of Maastricht.

2011: Aisan Maghsoudi. Investigating Co-reference Types in Free Text Breast Radiology Reports and the Effect of Co-reference Resolution on Automatic Sentence Classification. Masters Artificial Intelligence (AI), DKE, University of Maastricht. Work carried out at Philips Medical Systems, R&D, Eindhoven.

2009: Frank Fleishhack. Improvement of web search algorithms using an adaptive bee hive model. Masters Artificial Intelligence (AI), DKE, University of Maastricht.

1995: Jakub Zavrel: Neural Information Retrieval. An Experimental Study of Clustering and Browsing of Document Collections with Neural Networks. Department of Computational Linguistics, University of Amsterdam, 1995.

1995: Marco René Spruit. FILTER Prototype Report – A neural filtering environment. Masters Computational Linguistics, Department of Artis, University of Amsterdam.

1995: Edwin Brinkhuis. Neural Networks in Information Retrieval. Masters Computational Linguistics, Department of Artis, University of Amsterdam.

1993: Siebe Bloembergen, The Design of a Neural Data-Oriented Parsing (DOP) Model. Masters Computational Linguistics, Department of Arts, University of Amsterdam.

BSc Supervision

2018: Marc van Duyn. Visual Classification of eDiscovery Images with Neural Networks. Bachelor of Science, Informatica, Leiden University, the Netherlands.

2014: Béntor Bautista Piris. Automatic Retrieval of Job Offers. Bachelors of Science in Knowledge Engineering, DKE, Maastricht University. Co-supervisor.

2014: Dina Zverinski. Automatic Retrieval of News Titles. Bachelors of Science in Knowledge Engineering, DKE, Maastricht University. Co-supervisor.

Bachelors Supervision 

2019: Dave van Kesteren, Community and Anomaly Detection. Department of Computer Science, Avans University of Applied Sciences, ‘s-Hertogenbosch, the Netherlands.

2019: Andre Roelofs. Community and Anomaly Detection. Department of Computer Science, Avans University of Applied Sciences, ‘s-Hertogenbosch, the Netherlands.

LegalTech Supervision

2020: Laura Winters. De AVG en eDiscovery. Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

2020: Lilly Kwanten. CCPA and eDiscovery. Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

2020: Stan Boogert. Raadsonderzoeken met de ZyLAB Software. Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

2020: Bachelor. Yamina Fatni. Bewijsbeslag en eDiscovery. Legal Department, University of Applied Sciences, Amsterdam.

2020: Samira da Mata Brito. Inzage-en verwijderingsverzoeken met behulp van eDiscovery (Handling with Subject Access Requests with eDiscovery software). Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

2020: Rochelle Belfor. Handling Data Breaches with eDiscovery software. Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

  1. Ian Slotegraaf. Internal Investigations and Fraud. Bachelor. Legal Department, University of Applied Sciences, Amsterdam.

2019: Corné Broere. Een vergelijking tussen ZyLAB ONE eDiscovery-technologie en traditionele zoekmethoden bij kwantitatief arbeidsrechtelijk jurisprudentieonderzoek naar de eventuele toekenning en hoogte van de billijke vergoeding. Legal Department, University of Applied Sciences, Amsterdam.

2019: Paul Bloedjes. Afhandelen van Wet Openbaarheid Bestuur (WOB) verzoeken met ZyLAB ONE. Legal Department, University of Applied Sciences, Amsterdam.

2019: Maurits Walters. Answering Competition and Anti-Trust Information Requests with ZyLAB One. Legal Department, University of Applied Sciences, Amsterdam.