Internship Reports Business Analytics (2017-present)

Name Title Business Analytics Report. Supervisor
Austin Dickerson Cost Optimization for Freight Distribution Networks with Consolidation Facilities, November 2024 dr. Oliver Fabert
Julian van Meggelen Towards Deep Representation Learning for Fraud Classification, November 2024 dr. Kevin Luck
Peter Derksen Vehicle routing optimization for a vendor-managed inventory supply chain (confidential), November 2024 dr. Bob Planque
Stergios Ntanavaras Conversational Triple Extraction for Diabetes Healthcare Management Using Synthetic Data, November 2024 prof.dr. Piek Vossen
Michiel de Ronde Enhancing Airport Security with Computer Vision. A Comparative Study of Deep Learning Models for Efficient and Reliable Threat Detection in X-Ray Imagery of Luggage, October 2024 dr. Anil Yaman
Remi Verdiesen Assessing the impacts of extreme precipitation events: a climate stress-testing approach (confidential), October 2024 dr. Eduard Belitser
Ivo van Miert Top-Down vs Bottom-Up Human Pose Estimation in Football Action Classification in a Monocular Camera System, September 2024 dr. Vincent Francois Lavet
Xiaojing Lin Shipment Detention Prediction in Customs Clearance: A Comparison of Machine Learning Models (confidential), September 2024 dr. Shujian Yu
Renske Dijkstra The Effects of Data Augmentation and Synthetic Data in Breast Cancer Detection, September 2024 dr. Karine Miras
Heng Wang Forecasting Egg Prices: A Time Series Analysis with Economic and Market Influences, August 2024 prof.dr. Rob van der Mei
Sander Genot Predictive Modeling in Stock Market Price Forecasting: Challenging the Efficient Market Hypothesis, August 2024 dr. Rene Bekker
Luuk van Zonneveld Optimizing berth planning at container terminals utilizing shore power, August 2024 prof.dr. Ronald Meester
María Ármann Horizontal collaboration in transportation and logistics: identifying long-term collaborative partners, August 2024 prof.dr. Rob van der Mei
Mohamed Aghaddar Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics (confidential), August 2024 dr. Anil Yaman
Thom Ezechiels Optimizing Pricing Strategies for Durable Goods Using Reinforcement Learning (confidential), August 2024 dr. Vincent Francois-Lavet
Tymen Bakker Predictive Modelling of the Overnight Change in the Price Discrepancies Between American Depository Receipts and their Underlying Shares (confidential), August 2024 dr. Vincent Francois-Lavet
Eda Vedzhhi Fair Pricing Mechanisms for Demand Steering, August 2024 prof.dr. Rob van der Mei
Floris Brouwer Employing Large Language Models for the process of production planning (confidential), August 2024 prof.dr. Sandjai Bhulai
Job Groeneveld Multi-Objective Optimization of Toplogical Remedial Actions in Power Grids using Evolutionary Algorithms, August 2024 dr. Alessandro Zocca
Dennis van Nieuwkerk From Data to the Stands: Optimizing Football Fan Engagement Through Data Analytics (Confidentail), July 2024 prof.dr. Rob van der Mei
Casper van Loon Reducing waiting times in acute elderly care: a case study for the region of Twente, July 2024 dr. Rene Bekker
Niels Bosdam Predicting Crowdedness On GVB Tram Lines Using a Machine Learning Approach (confidential), July 2024 prof.dr. Sandjai Bhulai
Martine Hoedjes Leveraging Machine Learning for Strategic Parking Management in Cities: Predictive Insights and Visualizations (confidential), July 2024 prof.dr. Sandjai Bhulai
Quinten van der Kaaij Leveraging Machine Learning Algorithms to Improve Fashion Demand Forecasting, July 2024 prof.dr. Guszti Eiben
Nina Hofstede Quantifying the relation between ESG and financial performance using machine learning, July 2024 dr. Paulo Jorge de Andrade Serra
Maaike Teunisse Reconstructing Missing Joint Data in Football Matches Using Machine Learning Techniques. Filling in missing frames in positional football player data using Transformer and CNN models, July 2024 prof.dr. Mark Hoogendoorn
Caroline Oostveen Forecasting upsell in the airline industry, July 2024 dr. Joost Berkhout
Sara Lute What If we Cannot See the Full Picture? Anti-Money Laundering in Transaction Monitoring, July 2024 prof.dr. Guszti Eiben
Mandy van der Maas Unsupervised and semi-supervised anomaly detection on sensor data using LSH. A generic framework for anomaly detection in predictive maintenance (confidential), July 2024 dr. Vincent Francois-Lavet
Thijs Klumpenaar Dynamically scaling Azure resources using Machine Learning, July 2024 dr. Rianne de Heide
Femke Deesker Analyzing customers’ willingness to pay in the air cargo sector (confidential), July 2024 prof.dr. Ger Koole
Norbert Kempen Load shifting using short-term forecasting and optimised battery storage (confidential), July 2024 dr. Rene Bekker
Anastasiia Mazurak Exploring Scalable Demand-Forecasting Models for Restaurants: A Comparative Analysis of Individual and Cluster-Based Approaches (confidential), July 2024 prof.dr. Guszti Eiben
Rosalie Bakker Predicting flight demand for passengers and cargo for the mid-long term (confidential), July 2024 Joris Slootweg and prof.dr. Rob van der Mei
Annemarie Schaefers What are my chances? Predicting social housing allocation with AI, July 2024 prof.dr. Guszti Eiben
Gerke Schaap A Comparison In Predicting Regional House Prices Using Advanced Machine Learning Techniques, July 2024 prof.dr. Rob van der Mei
Nikki Waling ECGi to ECGai. The implementation of deep learning models for Electroanatomic Mapping of the ventricular endo-, epi- and myocardium (confidential), July 2024 dr. Shujian Yu
Louisa Crijnen Learning Parking Times: Understanding the Impact of Parking Time Predictions on Overall Travel Time Estimations in an E-Grocery Setting (confidential), July 2024 prof.dr. Guszti Eiben
Emiel Goldman Comparative Analysis of Traditional Machine Learning Models and BERT for Short Financial Text Classification, July 2024 prof.dr. Ger Koole
Stan Schonk Predictive Modeling and Causal Inference in the Steel Industry: A Comprehensive Study on Production Level and Variable Interventions (confidential), July 2024 dr. Rene Bekker
Abdellah Louchahi Dealer Network Expansion of Audi Vietnam (confidential), June 2024 prof.dr. Sandjai Bhulai
Ottavio Mans Predicting Passenger Volumes with Machine Learning: Enhancing Efficiency in Security Scheduling (confidential), June 2024 prof.dr. Frank van der Meulen
Floor Deben Deep Learning for Outlier Detection in 4D IVIM MRI. A study on real-time Automated Artifact Detection, June 2024 dr. Rikkert Hindriks
Ecaterina Efimenko NLP Techniques for Effective ESG Information Extraction and Classification (confidential), June 2024 prof.dr. Mark Hoogendoorn
Berkan Arik Assortment Planning with Multi-objective Evolutionary Algorithms (confidential), June 2024 dr. Joost Berkhout 
Lucas Kreukniet Strategic Supply Chain Planning Under Uncertainty (confidential), June 2024 dr. Alessandro Zocca
Jantine Paasschens Inventory Strategy Optimisation: A Markovian Approach to Adapt for Fluctuations and Disruptions in the Ordering Process (confidential), May 2024 prof.dr. Ger Koole
Matthias Agema Efficiency in WKR Compliance: Ledger Data Classification using Transformers and kNN (confidential), April 2024 dr. Shujian Yu
Floor Hegge Recipe demand forecasting at an online supermarket using availability information (confidential), April 2024 prof.dr. Sandjai Bhulai
Bryan van Ingen Trajectory Prediction in a Digital Twin for Autonomous Ground Service Operations, April 2024 prof.dr. Rob van der Mei
Frank Zweet Order Batching Problem (confidential), March 2024 prof.dr. Ronald Meester
Olga Krylova Leveraging Graph Neural Networks for Quadratic Unconstrained Binary Optimization Problems, March 2024 prof.dr. Sandjai Bhulai
Philip van der Hoek Anomaly detection in automated financial consolidation (Confidentail), March 2024 dr. Rikkert Hindriks
Claudia Quintans Studying the Relationship Between Price Fluctuations and Consumer Behavior (confidential), March 2024 prof.dr. Mathisca de Gunst
Lisa de Jong An Analytical Approach to Capacity Analysis on the Dutch Railway Network, February 2024 prof.dr. Ronald Meester
Ársól Ólafsdóttir Streamlining Intermediate Elderly Health Care in the Netherlands: A Discrete Event Simulation Approach to Reducing Waiting Times (Confidentail), February 2024 prof.dr. Rob van der Mei
Lars van Dalen Predicting success of new product launches in the Dutch dairy market using machine learning methods, February 2024 dr. Karine Miras
Tim van Walsem Demand Forecasting in a Disrupted Bicycle Market, January 2024 prof.dr. Mathisca de Gunst
Claudia Bokhorst Assortment Optimization Model: What items to include to maximize profit? (confidential), December 2023 prof.dr. Sandjai Bhulai
Niels Ham Causal Discovery of Market Values in Edible Oils Sales, December 2023 dr. Shujian Yu
Konstantinos Fliakas Key-Value Pair Extraction from Dutch Employer Statement Documents: A Multimodal Deep Learning Approach, December 2023 dr. Karine Miras
Alexandros Tsiamas Optimization of a complex Holiday Assignment Model, November 2023 prof.dr. Ger Koole
Joachim van der Lei Designing Recommender Systems: Mitigating Cold Start, Accommodating Changing Preferences, and Handling Limited Item Features (confidential), November 2023 dr. Anil Yaman
Falk Sinke Towards a vertical future: Optimising crop scheduling in a vertical farm using hybrid methods (confidential), November 2023 dr. Bob Planque
Derk van Ewijk From Confounding to Clarity: A Causal Approach to EU Butter Price Modeling (confidential), November 2023 dr. Paulo Jorge de Andrade Serra
Cynthia Jonkman A Comparative Study: Machine Learning for Forecasting Customer Complaints (Confidentail), November 2023 prof.dr. Rob van der Mei
Esmee Beks Predicting Maximum Ship Movements Based on Weather Data (Confidentail), October 2023 dr. Rikkert Hindriks
Emiel Hess The application and analysis of meta-learning in Federated Face Recognition., October 2023 prof.dr. Sandjai Bhulai
Hidde van Zalm Nowcasting broker-dealers’ short-sell exposure (confidential), October 2023 dr. Natalie Kessler
Martijn Vermeulen A Comparative Analysis of Machine Learning Models in Predicting Customer Lifetime Value (confidential), September 2023 dr. Anil Yaman
Abel van Gennep Leveraging XAI and IAI to comprehend email marketing, September 2023 dr. Karine Miras
Iker Antonio Olarra Maldonado Telosian: a real-time anomaly detection algorithm optimized for concept drift, September 2023 prof.dr. Rob van der Mei
Julia Hazenberg Comparing ANN and LightGBM for Predicting Dairy Cow Milk Production at the Beginning of First Lactation (confidential), September 2023 prof.dr. Ronald Meester
Floris Schmidt Household Energy Flexibility and Battery Control through Reinforcement Learning (confidential), September 2023 dr. Alessandro Zocca
Jack Spanjer Predicting performance using player characteristics, September 2023 prof.dr. Rob van der Mei
Dominique Woof Make EDDIE Great Again! Optimizing professional-project matching by means of Large Language Models AN EMPIRICAL RESEARCH, August 2023 dr. Rene Bekker
Linda van Vliet Reliability Analysis of Heat Interface Units of District Heating Networks (confidential), August 2023 prof.dr. Mark Hoogendoorn
Laurens Papadopoulos A Bi-Objective Heterogeneous Open Vehicle Routing Problem, August 2023 prof.dr. Rob van der Mei
Lisette van Lange Dynamic Pricing in the Danish Beer Market (confidential), August 2023 prof.dr. Ger Koole
Mette Wiezer Predicting emergency admissions at nursing units (confidential), August 2023 dr. Rene Bekker
Kalliopi Liopyraki Optimal Inventory Levels using a Deterministic & Robust MILP model for a Single-Item Multi-Period Lot-Sizing Problem (confidential), August 2023 dr. Joost Berkhout 
Wesley Sieraad Applying Machine Learning Techniques to Forecast Amateur Football Game Outcomes, A Study in Ranking Dutch Amateur Football Teams Using Open-Source (confidential), August 2023 dr. Eric Pauwels 
Michele Belloli Price Elasticity and Optimization for e-Retailers (confidential), August 2023 dr. Joost Berkhout 
Tarik Benmoussa Production and Order Planning in Bicycle Manufacturing (confidential), August 2023 dr. Joost Berkhout 
Süheyla Yildiz Predictive Cost Model for an Omnichannel Retail Company (confidential), August 2023 prof.dr. Frank van der Meulen
Lena Eichhorn A Loss Network Simulation Model for Birth Centre Capacity (confidential), August 2023 dr. Rene Bekker
Dominic Istha Designing Human-centered News Recommender Systems, August 2023 dr. Vincent Francois Lavet
Maud Roodenburg The impact of weather factors on the sales (confidential), August 2023 dr. Rene Bekker
Charissa Kertowidjojo The opportunities of synthetic data for the Dutch employee insurance agency (UWV), (confidential), August 2023 dr. Vincent Francois Lavet
Amy Körver Vehicle Stop Duration of Last Mile Deliveries (confidential), August 2023 dr. Paulo Jorge de Andrade Serra
Godelieve ten Have Personalized churn prediction applied to the shared mobility operator felyx (confidential), August 2023 prof.dr. Ronald Meester
Nasrin Rastgoo Energy Poverty Prediction in the Netherlands with Machine Learning Models, August 2023 dr. Karine Miras
Merel Sliepenbeek Predicting Repo Rollovers, August 2023 prof.dr. Rob van der Mei
Bruno van Beek Robust Time Slot Allocation for Efficient Security Screening at Amsterdam Airport Schiphol (confidential), July 2023 prof.dr. Rob van der Mei
Isis de Lange Exploring Machine Learning Approaches for Football Shot Detection. A comparative study, July 2023 prof.dr. Guszti Eiben
Bart Gijsbertsen Increasing working capital by forecasting the payment date of invoices (Confidentail), July 2023 dr. Rikkert Hindriks
Wesley de Lange Improving Defensive Analysis in Football (Confidentail), July 2023 dr. Rikkert Hindriks
Tim von Lücken Airplane Seat pricing: Prediction and Optimization based on historical data, July 2023 prof.dr. Ger Koole
Tessa van Liempt The impact of moving patient groups in the OR schedule on the bed utilization of the nursing ward (confidential), July 2023 dr. Rene Bekker
Fergus Hathorn Planning Under Uncertainty: Strategic Decision Making in Supply Chain Network Design, July 2023 dr. Alessandro Zocca
Philline Dikker Optimisation of the workforce to achieve diversity targets by using Reinforcement Learning (confidential), July 2023 prof.dr. Guszti Eiben
Mahir Alioua Machine learning for pricing financial instruments (confidential), July 2023 prof.dr. Rob van der Mei
Eline Belt Analysis and short-term forecasting of traffic intensity: Exploring the impact of road maintenance, July 2023 prof.dr. Rob van der Mei
Hannah van Goor Controversy detection in Dutch news, July 2023 dr. Anil Yaman
Pim Nijhuis A data-driven approach to multi-touch attribution modeling: balancing between interpretability and performance (confidential), July 2023 prof.dr. Sandjai Bhulai
Morris Heijke Industrial machine energy consumption forecasting (confidential), July 2023 prof.dr. Guszti Eiben
Melissa Kappe Optimizing production and inventory planning with demand forecasting for Tenzing (confidential), July 2023 prof.dr. Rob van der Mei
Femke Malij Prediction of shop visit revenue, costs, FA-margin and lease costs (confidential), July 2023 dr. Rene Bekker
Kiki Wong The potential of (semi-) supervised machine learning models in the cost reduction of the Know-Your-Customer Process (confidential), July 2023 prof.dr. Sandjai Bhulai
Christa van Dijk Detecting duplication of entities in the client database using an Entity Resolution framework(confidential), June 2023 dr. Anil Yaman
Bing Tan A Competitor pricing strategy for OTAs using deep learning (confidential), June 2023 dr. Eduard Belitser
Apala Saha Academic customer churn analytics (confidential), June 2023 prof.dr. Sandjai Bhulai
Koen Sijpesteijn Application of log parsing methods for unsupervised log anomaly detection with an auto-encoder: worthwhile or -less?(confidential), June 2023 dr. Vincent Francois Lavet
Jamie Kan Predicting the most suitable study track for Dutch high school students (confidential), June 2023 prof.dr. Sandjai Bhulai
Robert Brandemann Bilingual text classification using transformer models and k-NN, June 2023 dr. Vincent Francois Lavet
Jurrian Sollie Renewal of longevity reinsurance. Seeking the best balance between risk mitigation and balance optimisation (confidential), May 2023 dr. Eduard Belitser
Katja van der Perk Capacity allocation for the reduction of bottlenecks in the Amsterdam elderly care system, May 2023 prof.dr. Rob van der Mei
Nina Malbašić Integration of maintenance and routing optimization (confidential), April 2023 dr. Alessandro Zocca
Fay Westendorp Comparative study on object detection models and augmentation techniques for face detection on camera-captured identity documents, April 2023 prof.dr. Mark Hoogendoorn
Michiel Kempkens Deep reinforcement learning for temperature setpoint control, April 2023 dr. Vincent Francois Lavet
Nina Malbasic Integration of maintenance and routing optimization (confidential), April 2023 dr. Alessandro Zocca
Osman Azizi Can the resistance’s effect on the disconnectors’ temperature change be separated from other factors’ effects and used to estimate the contact resistance of the disconnector? (Confidentail), March 2022 dr. Rikkert Hindriks
Tim van der Mei Improving the efficiency of expiration date checking at a large supermarket chain (confidential), March 2023 prof.dr. Sandjai Bhulai
Renze Dijkstra Online stock allocation strategies: An explorative study of the alternating shipment landscape (confidential), March 2023 dr. Alessandro Zocca
Max de Bruijne Leveraging the power of machine learning and explainable AI for actionable and insightful trial conversion predictions (confidential), March 2023 prof.dr. Mark Hoogendoorn
Archika Devaraj Customer churn modelling for a Dutch price fighting mobile telecom provider (confidential), March 2023 dr. Dennis Dobler
Britt Hale Dynamic setpoint control in HVAC systems to minimize electricity in non-residential buildings. Using a multi-variable model and predictive modeling, March 2023 dr. Rianne de Heide
Anna Tsachouridi Company’s cost-effective strategy (confidential), March 2023 dr. Alessandro Zocca
Jessica Eggen Breaking the purchasing pattern: A recommender system for an online supermarket to suggest unexplored products (confidential), March 2023 prof.dr. Mark Hoogendoorn
Britt Verhoeven Training machine learning models on weather data for demand forecasting for supermarkets (confidential), March 2023 dr. Oliver Fabert
Daan Otto A green supply chain for repairable items (confidential) , February 2023 dr. Alessandro Zocca
Martijn Wesselius Detection of defective Insulated Rail Joints (IRJs) with a semi-supervised learning-based approach, February 2023 dr. Jakub Tomczak
Christoph de Jong Data driven delisting decisions at Company A. Researching the added value of basket analysis and machine learning forecasting on delisting decisions (confidential), February 2023 prof.dr. Ger Koole
Junot Hardy Using a flexible and adaptive hyper-heuristic to create an efficient tool for solving vehicle routing problems (confidential), January 2023 dr. René Bekker
Wenxin Chen Anomaly detection in steel production line, January 2023 prof.dr. Ger Koole
Mei Li Tan Can machine learning techniques aid hierarchical product taxonomy (confidential), December 2022 prof.dr. Sandjai Bhulai
Pieter Steur Applying machine learning to predict subarachnoid hemorrhage outcomes during hospitalization (confidential), November 2022 dr. Eduard Belitser
Dave de Moel Delivery frequency optimization and transportation costs minimization at Etos, November 2022 dr. Joost Berkhout
Christiaan Smit Tool placement and smart notification in the civil volunteer network. Follow-up research for the fire department Amsterdam-Amstelland on the future civilian network, November 2022 prof.dr. Rob van der Mei
Mees Benninga A first ever employee benefits recommender system (confidential), November 2022 prof.dr. Sandjai Bhulai
Quirijn Busch Application of topic modeling for text document management to facilitate the research phase of consultants, October 2022 Salim Salmi, prof.dr. Sandjai Bhulai and prof.dr. Rob van der Mei
Nick Foree Machine learning predictions of customer churn from store and e-commerce data, October 2022 dr. Paulo Jorge de Andrade Serra
Mathijs Pellemans Computational analysis of motivational interviewing in chat conversations (confidential), October 2022 prof.dr. Rob van der Mei
Bart Silven Predicting dutch buy-to-let arrears using machine learning (confidential), October 2022 dr. Paulo Jorge de Andrade Serra
Jimmy Gijsel Reducing waiting lists for mental healthcare patients with data-driven decisions, September 2022 prof.dr. Rob van der Mei
Felix Warners Explaining neural networks for image recognition (confidential), September 2022 dr. Jakub Tomczak
Yorran Reurich Optimization of a multi-period two-stage transportation problem for a subscription-based company, September 2022 dr. Alessandro Zocca
Sebastiaan Peek The influence of Twitter sentiment on Bitcoin prices, September 2022 dr. Eduard Belitser
Serhat Bucak Implementing a natural language interface for a data platform using GPT-3 and graph databases (confidential), September 2022 dr. Benno Kruit
Stan van Loon Het vergroten van de efficiëntie van de incasso afdeling (confidential), August 2022 prof.dr. Sandjai Bhulai
Tim Vorstenbosch De-identifying personal information in Dutch mortgage documents using named entity recognition, August 2022  prof.dr. Sandjai Bhulai
Roy Gomersbach Sales funnel forecasting (confidential), August 2022  prof.dr. Sandjai Bhulai
Lotte Huft Unsupervised outlier detection in support of financial due diligence, August 2022 prof.dr. Mark Hoogendoorn
Michelle Rutte Dutch sentiment analysis on Twitter, August 2022 prof.dr. Rob van der Mei
Hatim Akidas A machine learning approach to predict service level for call centers, August 2022 dr. René Bekker
Koen Hoogkamp Recommender system for the hospitality industry using machine learning techniques (confidential), August 2022 prof.dr. Ger Koole
Falke Boskaljon Automatic locating of suspended streetlights and overhead cables in urban point clouds, August 2022 dr. Vincent Francois Lavet
Tara Zver A robust approach to integrated order picking and vehicle routing problem in a B2C e-commerce context (confidential), August 2022 dr. Joost Berkhout 
Jurriaan Hartog Anomaly detection for bearings of induction motors based on autoencoder neural networks (confidential), August 2022 prof.dr. Ger Koole
Britt Boorsma Comparison of different text classification methods to predict people’s mindsets (confidential), August 2022 prof.dr. Guszti Eiben
Intern N.N. Predictive maintenance for sewage pumping stations using machine learning. A comparative study, July 2022 prof.dr. Rob van der Mei
Zoë Lascaris reinforcement learning for selecting input scenarios for radar systems (confidential), July 2022 dr. Vincent Francois Lavet
Jens van Holland Splitting multi-document files into logical sub-documents using multimodal deep learning models, July 2022 dr. Jakub Tomczak
Berend Markhorst Truck scheduling with collaborative planning at KLM cargo (confidential), July 2022 prof.dr. Rob van der Mei
Heleen Eisen Wildlife facility occupation in North Groningen using processed sensory data (confidential), July 2022 prof.dr. Guszti Eiben
Leonie Gorka Student performance prediction. Are complex models always the best option? (confidential), July 2022 prof.dr. Guszti Eiben
Sedef Yagci Analyzing the effect of KPIs on conversion rate in the Air Cargo sector using machine learning techniques (confidential), July 2022 prof.dr. Rob van der Mei
Christa Vendel Optimal inventory levels at Etos, July 2022 prof.dr. Ger Koole
Jaimie Rutgers Real-time prediction of intradialytic hypotension (confidential), July 2022 prof.dr. Mark Hoogendoorn
Bas van der Bijl Dynamic gate planning: A linear approach, July 2022 prof.dr. Ger Koole
Loes van Strien Recommendation challenge: the trade-off between accuracy and diversity (confidential), July 2022  prof.dr. Sandjai Bhulai
Cato van Willige A deep learning approach to predicting order returns (confidential), July 2022  prof.dr. Sandjai Bhulai
Cathelijn Kuijt Prediction of customer lifetime value in e-commerce fashion retail, July 2022 prof.dr. Rob van der Mei
Annick Beentjes Multi-class classification of cost centers and accounts in hospital financial data (confidential), July 2022 dr. René Bekker
Arnold Dijk Generating Trajectories for Offensive Players in Professional Football, June 2022 dr. Vincent Francois Lavet
Shwetambari Tiwari Complaint similarity using information retrieval (confidential), June 2022 prof.dr. Guszti Eiben
Tom de Valk A deep learning and reinforcement learning approach to stock prediction-based portfolio optimization (confidential), June 2022 dr. Jakub Tomczak
Timon Likić Automated valuation model. Instant valuation of real estate property (confidential), June 2022 dr. Vincent Francois Lavet
Ferdi Vestering Soil moisture prediction (confidential), June 2022 dr. Jakub Tomczak
Sjors Peerdeman Self-supervised learning in avocado quality prediction: visual feature extraction through pretraining, June 2022 dr. Jakub Tomczak
Karel Schorer Predicting on-street parking violations (confidential), May 2022 dr. Elenna Dugundji
Arnoud van Suijdam EEG data classification. Classifying motor imagery EEG data to create a brain computer interface For gaming, May 2022 prof.dr. Mark Hoogendoorn
Nadine Schürmann Merchandise demand forecasting in the football industry (confidential), April 2022 prof.dr. Sandjai Bhulai
Brecht van Kuijk Predictive maintenance on an electrical motor overheating problem (confidential), April 2022 prof.dr. Ger Koole
Romy Smith Algorithmic FX trading: Optimizing the venue selection mechanism (confidential), April 2022 prof.dr. Ger Koole
Francine Verbeek Exploring the possibilities of applying an unsupervised machine learning model to detect VAT carousel fraud, April 2022 prof.dr. Mark Hoogendoorn
Rein van Lennep Logistics demand forecasting by applying machine learning models in the animal food industry (confidential), April 2022 dr. Alessandro Zocca
Carlijn van Doorne Measuring corporate culture using text analysis (confidential), March 2022 prof.dr. Mark Hoogendoorn
Julian Derks Camera-based respiration rate monitoring (Confidentail), February 2022 dr. Rikkert Hindriks
Junior Eshun Researching dynamic pricing at AZ Alkmaar, February 2022 prof.dr. Ger Koole
Koen Benjamins Optimization model for Action's distribution centers (Confidentail), February 2022 dr. Joost Berkhout 
Benjamin de Jong Modeling tabular real estate transaction data with deep generative models, February 2022 dr. Rikkert Hindriks
Samuel Derks Predicting the expected heat demand of residential consumers (confidential), February 2022 prof.dr. Sandjai Bhulai
Hamid Abdellaui  Prediction of chat handling times and simulation of chat processes, January 2022 dr. Joost Berkhout
Elisabeth Fokker Analyzing parking choice behavior with discrete choice models and interpretable time series models (confidential), December 2021 dr. Elenna Dugundji
Konstantinos Sakellariou Activity context detection during smartphone keyboard interactions: A machine learning approach, November 2021 dr. Eliseo Ferrante
Daan Schönberger Reducing the response time of fire department Amsterdam-Amstelland. The impact of civilian aid workers, November 2021 prof.dr. Rob van der Mei
Martijn Buitink Improving the data quality of dividends. A validation model for monthly data on dividends (confidential), November 2021 prof.dr. Rob van der Mei
Joris Verhoog Quantifying and analysing complicated financial text data (.pdf-filel), October 2021 prof.dr. Guszti Eiben
Mariska Kok A CNN-LSTM framework for object detection. The detection of pushbarges (confidential), October 2021 dr. Elenna Dugundji
Thomas Kusters Projecting future expenses in a health promotion platform (confidential), September 2021 prof.dr. Ger Koole
Tim de Boer Simulation models to evaluate long term effects in the elderly care system in the Amsterdam region, September 2021 dr. René Bekker
Ziff Scholtens Outlier detection model. Finding outliers in Dutch private mortgage data (confidential), September 2021 prof.dr. Ger Koole
Joep van Genderingen Semi-supervised end-to-end learning on raw waveform time-series, September 2021 dr. David W. Romero Guzman 
Sebastiaan Groeneveld Improving the probabilistic passenger forecast distribution, September 2021 dr. Paulo Jorge de Andrade Serra
Thom Oosterhuis Modelling and prediction of prices for products on biofuel markets, August 2021 dr. Eliseo Ferrante
Maurits Dick Machine learning and transformer based methods for contextual advertisements (confidential), August 2021 dr. Eliseo Ferrante
Sander Veter Forecasting crowdedness for businesses located on Texel (confidential), August 2021 prof.dr. Rob van der Mei
Niels Torremans Robust structure learning among weak labels, August 2021 dr. Vincent Francois Lavet
Matthias Vaessen Predicting the ETA of cargo trains using AI models, August 2021 dr. Elenna Dugundji
Jasper van Doorn Fuel usage estimation and optimization in temperature-controlled vehicle routing, August 2021 dr. Alessandro Zocca
Colin Stolwijk Improving boxing training sessions with live tailored feedback using batch reinforcement learning (confidential), August 2021 prof.dr. Mark Hoogendoorn
Bob Mes An approach to map textual questions to a response out of a predefined response set (confidential), August 2021 dr. Michael Cochez
Marije Gemmink Detecting the arrivals and departures of vehicles with machine learning techniques, August 2021 prof.dr. Guszti Eiben
Juliette Makau Predicting customer behavior in the grocery retail using machine learning models (confidential), August 2021 dr. Rikkert Hindriks
Max Niermans An adaptive hybrid modeling approach to forecast the daily picking progress in manual fulfilment centers (confidential), July 2021 dr. Elenna Dugundji
Chantal van Dok Statistical analysis and discrete event simulation of the length of stay in an emergency department (confidential), July 2021 prof.dr. Harry van Zanten
Tessa Helmer Semi-supervised invoice information extraction. A regional object detection and rule-based approach (confidential), July 2021 dr. Michael Cochez
Rosalie van der Woude Predicting the diversity of respondents to vacancies (confidential), July 2021 prof.dr. Guszti Eiben
Lena Shutko A hybrid machine learning pipeline for solving general tasks of predictive analytics, July 2021 dr. Jakub Tomczak
Olga Konstantinova Optimization of meeting room utilization under deterministic and stochastic conditions (confidential), July 2021 dr. Vincent Francois Lavet
Carlijn Snijder A rule-based and deep learning combined approach to fraud detection (confidential), July 2021 prof.dr. Sandjai Bhulai
Floris van der Steen Building an end-to-end data deduplication framework using deep learning, July 2021 dr. Vincent Francois Lavet
Thijs Roozen Email engagement enhancement using machine learning techniques (confidential), July 2021 dr. Paulo Jorge de Andrade Serra 
Mirjam Besteman Topic modeling voor klachtmeldingen van Heijmans Woningbouw (confidential), July 2021 prof.dr. Sandjai Bhulai
Bernt van Walree Differentiation detection in insurance pricing models, July 2021 dr. Botond Szabo
Romy Rouwendaal Option hedging under the Heston model using deep reinforcement learning, July 2021 dr. Vincent Francois Lavet
Denise Gielesen Redesigning the delivery process of Royal FloraHolland (confidential), July 2021 dr. Joost Berkhout
Vladimir Minnebois Correction for heteroskedasticity and non-integer values in a GLM (confidential), June 2021 dr. Eduard Belitser
Dieuwertje Kardolus CO2 emission of inland dhipping in the Port Of Rotterdam, June 2021 dr. Rikkert Hindriks
Krzysztof Linke Malignant message classification using machine and deep learning (confidential), June 2021 dr. Eduard Belitser
Devin Mulder Market simulation in a competitive insurance environment (confidential), June 2021 dr. René Bekker
Martijn Huig Is it possible to predict the transaction costs of orders in stock portfolios?, June 2021 prof.dr. Jan Bouwe van den Berg
Marleen van de Coevering Truck scheduling optimization at KLM Cargo (confidential), June 2021 prof.dr. Rob van der Mei
Kevin Rojer Data driven investing: Quantifying the value of alternative data (confidential), June 2021 dr. Joost Berkhout
Esther Kuikman Machine learning models to detect politically exposed persons (confidential), June 2021 dr. Jakub Tomczak
Dominic Zeeman Application of business analytics tools; building an interactive dashboard in Python and HTML. An event-driven approach to visualise data on a web-based information dashboard (confidential), May 2021 prof.dr. Rob van der Mei
Dorien Verbruggen Insurance fraud detection with federated learning (confidential), May 2021 dr. Jakub Tomczak
Bram Vermeulen Imbalance price forecasting. A machine learning approach (confidential), May 2021 dr. Alessandro Zocca
Thom de Nijs Improving the prediction of medical expenses within the Dutch risk equalization model. Introducing new features evaluated with different techniques (confidential), April 2021 prof.dr. Mark Hoogendoorn
Daan van der Thiel Significant wave height prediction using a long short-term memory model and numerical weather prediction forecasts (confidential), April 2021 dr. Rikkert Hindriks
Mats Valk Developing a robust and scalable plastic object detection model for the ocean cleanup (confidential), April 2021 dr. Jakub Tomczak
Liselotte van Unen Understanding the business of mining equipment, April 2021 dr. Mark Hoogendoorn
Meagan Tjon Sjoe Sjoe Ranking air cargo itineraries using probability trees (confidential), March 2021 dr. Jakub Tomczak
Alexander van Oostveen Twitter sentiment analysis. Supporting auditor judgment, March 2021 prof.dr. Rob van der Mei
Thijs Tiedemann Machine learning interpretability for fraud detection (confidential), December 2020 dr. Rikkert Hindriks
Ruben Helsloot HR Consultant in a box. Discovering insights in personnel data using multimodal optimisation (confidential), January 2021 prof.dr. Sandjai Bhulai
Stephan van der Kolff Legal information retrieval (confidential), March 2021 dr. Florian Kunneman
Wouter Bosch Predicting hospital admission in the emergency department (confidential), March 2021 dr. Mark Hoogendoorn
Rens IJsendijk Classification of health insurance claim information in email messages (confidential), March 2021 dr. Eliseo Ferrante
Mark Buis Vessel speed prediction using machine learning techniques (confidential), February 2021 David Romero Guzman
Nanne Dieleman Solving the buffer allocation problem in tandem lines with machine learning techniques (confidential), January 2021 dr. Joost Berkhout
Lester Jones Availability rate forecasting in an online accommodation platform (confidential), January 2021 dr. Dennis Dobler
Paulo Fijen Correcting the sample bias in credit scoring using reject inference (confidential), January 2021 dr. Mark Hoogendoorn
Maurits Freriks Modelling the success rate of a professional sprinter using power data (confidential), January 2021 dr. René Bekker
Noam Blitz Capacity Planning in a food pickup and delivery system (confidential), December 2020 prof.dr. Guszti Eiben
Charif Lalaoui El Mouttalibi Optimization of base station locations and inspection routes (confidential), December 2020 prof.dr. Rob van der Mei
Abel Schneider Sentiment analysis in the healthcare domain, December 2020 dr. René Bekker
Jasper Tump Steel surface feature classification using deep learning (confidential), December 2020 Robin van Ruitenbeek and prof.dr. Sandjai Bhulai
Niki Vatzola Aspect based sentiment analysis on online reviews using machine and deep learning, December  2020 dr. Eliseo Ferrante
Maiky Chintoe Predicting productivity of a security filter using machine learning (confidential), November 2020 dr. René Bekker
Tim Flikweert Binary classification of professional criminals using residential information (confidential), November 2020 prof.dr. Rob van der Mei
Reven Passial Creating a patient embedding for machine learning purposes in healthcare (confidential), November 2020 dr. Michael Cochez
Satuki Kalverda Dronesurance (confidential), October 2020 prof.dr. Ronald Meester
Tim Peters Predicting customer sentiment for bank e-mail marketing (confidential), October 2020 dr. Florian Kunneman
Shand Jamil Using NLP methods on public text data to predict the residual value of lease cars (confidential), October 2020 prof.dr. Sandjai Bhulai
Vincent Geschiere Anomaly detection for predicting failures in waterpumping stations, October 2020 prof.dr. Ger Koole
Yi-Ting Lin Customer churn analysis and prediction modelling at Icecat, a content syndicator, September 2020 dr. Dennis Dobler
Berend Mortier Algorithm power trading, a reinforcement learning approach (confidential), August 2020 prof.dr. Sandjai Bhulai
Maartje Bongers Business development kitchen appliances (confidential), August 2020 dr. Ali Mehrabi en dr. Walter Stortelder
Arjan Fakhtei Website audience demographics prediction for targeted advertising (confidential), August 2020 prof.dr. Guszti Eiben
Jerry Timmer Forecasting sales using machine learning techniques (confidential), August 2020 dr. Jakub Tomczak
Jesse Schouten A click optimization approach for keyword bidding in Google Ads. (confidential), August 2020 prof.dr. Rob van der Mei
Jarik den Uijl Applying optimization models in the supply chain of the biggest sportswear company in the world (confidential), August 2020 Jesper Slik en prof.dr. Sandjai Bhulai
Arnout Berkenbosch Augmented data discovery. Implementation of an augmented data discovery solution, August 2020 prof.dr. Guszti Eiben
Floor Otsen A clustering method to detect mobile organised crime groups, August 2020 prof.dr. Rob van der Mei
Katrin Kostova Fashion classification and segmentation. An instance segmentation approach, August 2020 prof.dr. Guszti Eiben
Ezgi Yüce Validation of call center assumptions and prediction of a single-skill call center performance measures via machine learning approach, August 2020 dr. Eliseo Ferrante
Robin Opdam Comparison of deep learning product recommendation engines in different settings, August 2020 prof.dr. Guszti Eiben
Luca De Vita Keyphrase extraction: an ensemble approach, July 2020 dr. Florian Kunneman
Janine van Wonderen Forecasting demand with capacity limitations (confidential), July 2020 dr. Eduard Belitser
Pieter Zandijk Improving customer activation with a customer specific discount strategy (confidential), July 2020 prof.dr. Ger Koole
Joyce Timmer Predicting non-finishers in running events: A machine learning approach (confidential), July 2020 dr. Eliseo Ferrante
Tom Boersma Unsupervised and semi-supervised topic modeling in big unstructured Dutch council reports (confidential), July 2020 dr. Florian Kunneman
Yannick Hogebrug Providing recommendations or house seekers using historical behaviour. A recommendation algorithm with the help of clustering in a low-dimensional space (confidential), July 2020 dr. Jakub Tomczak
Bart Maters Passenger punctuality computation using smart card and vehicle location data in a multimodal public transport network, July 2020 dr. Elenna Dugundji
Daan Denneman Churn analysis for season ticket holders at ... (confidential), July 2020 dr. Rikkert Hindriks
Daphne Molenwijk Predicting the need for targeted sales activities. A machine learning approach to probabilistically predict future need for targeted sales activities (confidential), July 2020 prof.dr. Ger Koole
Tristan Slobben Improving equipment planning at Air France-KLM by means of time series forecasting and network flow optimization (confidential), July 2020 prof.dr. Rob van der Mei
Jeroen Kits Approaches to predict the relative strength of football players (confidential), July 2020 prof.dr. Rob van der Mei
Dominique Hopman Portfolio mortality factors (confidential), July 2020 dr. Eduard Belitser
Kevin Overbeek Reinforcement learning based control for wastewater purification facilities, July 2020 dr. René Bekker
Sofie de Geus Utilizing available data to warm start online reinforcement learning, June 2020 Ali el Hassouni MSc en dr. Mark Hoogendoorn
Joshua Touati A deep learning approach to face image quality assessment, June 2020 prof.dr. Sandjai Bhulai
Cathy Tol Tracking soccer players using computer vision, June 2020 prof.dr. Sandjai Bhulai
Steven Duijvestijn Comparison of product recommender models (confidential), June 2020 dr. Florian Kunneman
Emils Vavere BPM lifecycle of the sales process (confidential), June 2020 dr. Elenna Dugundji
Raquel Humphris Testing algorithm fairness metrics for binary classification problems by supervised machine learning algorithms, June 2020 dr. Dennis Dobler
Rens Hakkesteegt Improving the scheduling of automated movement of goods in warehousing (confidential), June 2020 dr. Joost Berkhout
Joris Slootweg Trip planning for tourist destinations with limited capacity (confidential), June 2020 prof.dr. Rob van der Mei
Chantal Leeuwestein Explainable artificial intelligence for decision support systems in financial services (confidential), June 2020 dr. Mark Hogendoorn
Nadine Enning Gaining insights in learning content using topic modeling (confidential), June 2020 dr. Mark Hogendoorn
Bix Azurmendi Predictive modeling of the athletic footwear market in EMEA (confidential), May 2020 prof.dr. Ger Koole
Kilian Koreman Predicting employee attrition using machine learning techniques (confidential), April 2020 dr. Rikkert Hindriks
Daan Klijn Improving the performance of machine learning based e-commerce fraud detection using a novel combination of features (confidential), April 2020 dr. Mark Hogendoorn
Lotte Bijsterbosch The parameter efficiency of neural ordinary differential equations, March 2020 prof.dr. Joost Hulshof
Etienne van de Bijl Towards graph-based intrusion detection in cybersecurity, March 2020 prof.dr. Rob van der Mei
Anne Fischer Machine learning on the ICU. To predict extubation outcome of patients on the ICU using machine learning. Decision support for doctors (confidential), March 2020 dr. Mark Hoogendoorn
Josan Preijde Healthcare population management. A simulation model to support decision making in right care at the right place in a network of healthcare providers, February 2020 dr. René Bekker
Inez Wensing Deep learning and transfer learning in biomedical relation extraction, February 2020 prof.dr. Sandjai Bhulai
Marnix Maas How do you explain that? An assessment of black box model explainers February 2020 prof.dr. Sandjai Bhulai
Yuval Pappie Automatic car parking occupancy detection with computer vision techniques (confidential), February 2020 prof.dr. Sandjai Bhulai
Marcoen Beeks Constrained mean-variance optimization with robust estimators (confidential), January 2020 dr. Svetlana Borovkova
Anouar Darrazi Predicting customer lifetime value for a subscription service using machine learning (confidential), January 2020 prof.dr. Ger Koole
Tijmen de Zwart  Valuing civil aviation aircraft parts: A machine learning approach (confidential), January 2020 prof.dr. Sandjai Bhulai
Daan Crebolder Traffic incident congestion modelling (confidential), January 2020 prof.dr. Rob van der Mei
Maarten Kleinrensink Identifying future profitable clients shortly after entry (confidential), January 2020 prof.dr. Rob van der Mei
Ruth Wijma Delay prediction in public transit (confidential), December 2019 dr. Rikkert Hindriks
Menno Rotteveel Battery utilization of multi-rotor UAVs in search and rescue operations. How to optimally use the battery potential of an autonomous multi-rotor UAV to execute a search and rescue operation mission plan (confidential), December 2019 prof.dr. Rob van der Mei
Ruben Stam The orienteering problem applied for surveillance (confidential), December 2019 prof.dr. Ronald Meester 
Igor van Houte Evaluation of the asset swap spread proxy for issuer specific risk of bonds (confidential), December 2019 dr. Dennis Dobler
Carl van Roon Prediction of the Net Promoter Score (confidential), November 2019 dr. Dennis Dobler
Shanita Biere Cost-based active learning in a multi-annotator environment (confidential), October 2019 prof.dr. Guszti Eiben
Roos Seelen Forecast booking behavior in the airline industry with machine learning techniques (confidential), October 2019 prof.dr. Rob van der Mei
Ciska Mohrs Risk driver for SCR lapse (confidential), September 2019 dr. Elenna Dugundji
Sascha van Weerdenburg Production duration estimation in a mass-customization age. a machine learning approach, September 2019 dr. Joost Berkhout
Alissa de Bruijn Detecting offensive language using transfer learning, September 2019 prof.dr. Wan Fokkink
Mark de Blaauw A scalable logo recognition model with deep meta-learning, September 2019 dr. Diederik Roijers
Roy van der Heide Fraud prediction nowGo (confidential), September 2019 Qingchen Wang en prof.dr. Sandjai Bhulai
Jurriaan Besenbruch CLV prediction in the field of e-commerce using "buy till you die" models and machine learning techniques (confidential), August 2019 prof.dr. Sandjai Bhulai
Marjolijn Cornelissen Text classification using unlabelled survey answers (confidential), August 2019 prof.dr. Guszti Eiben en dr. Diederik Roijers
Fenna Miedema Demand Forecasting of Animal Health products. Analysis on improvement of demand forecasting process (confidential), August 2019 dr. Rikkert Hindriks
Simone Spiering Comparative study of clustering methods (confidential), August 2019 dr. Mark Hoogendoorn
Laurèl Joannes Calculating the financial impact of a technological incident (confidential), August 2019 prof.dr. Rob van der Mei
Hans Nuijt The effect of maternal and active smoking on lung function: A Mendelian randomization approach, August 2019 prof.dr. Mathisca de Gunst
Vincent Jansz Semi-supervised echocardiographic viewpoint classification (confidential), August 2019 prof.dr. Sandjai Bhulai
Anne Jonker Bag & Tag’em, A new Dutch stemming algorithm, August 2019 Corné de Ruijt MSc en prof.dr. Sandjai Bhulai
Eva van Brummelen Customer segmentation using website data. Clustering online customers using their click data and gaining useful insights into the created clusters (confidential), August 2019 dr. Rikkert Hindriks
Daniela Zamora Uribe Prediction of churn and customer lifetime value for a subscription-based service using behavioural and transactional data (confidential), August 2019 Ali el Hassouni MSc en dr. Mark Hoogendoorn
Remco Vrinzen Predicting parking occupancy to give availability insights to employees (confidential), August 2019 prof.dr. Ger Koole
Sebastiaan Berendsen Transparency in black box models. An investigation in interpretation methods for machine learning models in a probability to default setting, August 2019 prof.dr. Sandjai Bhulai
Wilte Falkena vehicle routing problem with time windows: an ant colony optimization solution (confidential), july 2019 prof.dr. Sandjai Bhulai
Jurn Ullrich Modeling fuel commodities forward curve prices, July 2019 dr. Eduard Belitser
Lucas van der Wall Detection of deepfakes using deep learning (confidential), July 2019 prof.dr. Wan Fokkink
Jeroen de Korte Optimizing hotel booking cancellations. A machine learning approach to estimate hotel reservation cancellation probabilities, and the effects on available inventory (confidential), July 2019 prof.dr. Ger Koole
Ronald van Zwienen Information retrieval with contract requirements (confidential), July 2019 prof.dr. Guszti Eiben
Bjorn Blom Store labour and inventory management (confidential), July 2019 prof.dr. Rob van der Mei
Robin van Ruitenbeek Vehicle damage detection using deep convolutional neural networks, July 2019 prof.dr. Sandjai Bhulai
Mathijs Koopman Using quote and web scraped data to improve the pricing to maximize profit of a logistic integrator company (confidential), July 2019 prof.dr. Ger Koole
Ieva Brantevica Risk map development for a snow avalanche hazard, July 2019 prof.dr. Sandjai Bhulai
Ellen Mik Car network optimization (confidential), July 2019 prof.dr. Rob van der Mei
Cor Woudt Warehouse optimization using congestion modelling (confidential), July 2019 prof.dr. Rob van der Mei
Jiri Brummer Comparing various Machine Learning Methods for Element Extraction in Dutch contracts (confidential), June 2019 prof.dr. Piek Vossen en Filip Ilievski
Barend Verkerk De fanbase gesegmenteerd: een piramide van transactionele loyaliteit (confidential), June 2019 prof.dr. Ger Koole
Oksana Kachaniuk Corporate reputation estimation based on biLSTM neural network sentiment analysis with attention mechanism (confidential), May 2019 prof.dr. Sandjai Bhulai
Bernard Bronmans Building detection on aerial imagery using convolutional neural networks. On the robustness of Mask R-CNN and U-net, April 2019 dr. Peter Bloem en Rein van 't Veer MSc.
Robin Vastenou Machine learning for credit-card fraud detection (confidential), April 2019 dr. Mark Hoogendoorn
Steven Postmus Generating patients behaviour using generational adversarial networks (confidential), March 2019 dr. Mark Hoogendoorn
Bart van Aalst Comparison of forecasting methods for demand grocery products (confidential), March 2019 dr. René Bekker
Christine Vinck Predicting non-routine work for aircraft maintenance. Decision support for workload planning (confidential), February 2019 dr. Mark Hoogendoorn
Larissa Westerdijk Classifying vessel types based on AIS data, February 2019 prof.dr. Guszti Eiben
Bjarty Garcia Clustering for operating room scheduling. An evaluation of clustering methods to improve operation room efficiency and minimize peak demands for the cardio-thoracic surgery department (confidential), February 2019 dr. René Bekker
Rik van Leeuwen Unconstraining demand applied in the hospitality industry, January 2019 prof.dr. Ger Koole
Florentine van Hees Machine learning predicting the expected loss of multiple non-life insurance products (confidential), January 2019 Qingchen Wang en prof.dr. Ger Koole
Wouter den Duijn Unplanned maintenance duration forecasting (confidential), December 2018 dr. Mark Hoogendoorn
Sinit Tafla An analyses of the current capabilities of neural networks to produce music-resembling audio, December 2018 prof.dr. Sandjai Bhulai
Jeroen van Kasteren Cost-effectiveness of expensive drugs. Analysing dispensing practices, costs and effectiveness of expensive drugs, December 2018 dr. Rikkert Hindriks
Ilse Goedhart Detecting GDPR content in emails. Classifying emails based on their content using machine learning (confidential), November 2018 dr. Diederik Roijers
Pablo Bosch A first attempt for artificial intelligence-assisted echocardiographic interpretation based on the apical four chamber video (confidential), November 2018 dr. Rutger Hofman
Joël Gastelaars Recommender systems for TV recordings (confidential), November 2018 Corné de Ruijt MSc en prof.dr. Sandjai Bhulai
Ratna Agung Factor selection in equity return estimation using tree-based ensembles (confidential), October 2018 prof.dr. Wan Fokkink
Julian Alferink Statistical analysis of sequential data (confidential), October 2018 Corné de Ruijt MSc en prof.dr. Sandjai Bhulai
Emil Rijcken Predicting stock price movements based on newspaper articles using a novel deep learning approach, September 2018 prof.dr. Rob van der Mei
Emma Schipper Predicting the maintenance costs of a housing corporation (confidential), September 2018 Qingchen Wang en prof.dr. Ger Koole
David Lotten Scheduling planned hangar maintenance, September 2018 prof.dr. Rob van der Mei
Ashvin Jayaraj Understanding access/egress train station choice in bicycle-train travel in the western region of the Netherlands (confidential), September 2018 dr. Elenna Dugundji
Caleb Mensah Anomaly detection in the booking behaviour of online travel agents (confidential), September 2018 Jan Klein MSc
Mark Vermeer Classifying bank transactions using extreme gradient boosting (confidential), September 2018 Qingchen Wang en prof.dr. Ger Koole
Arjan Bontsema Forecasting ammonium concentration in wastewater treatment plant effluent (confidential), September 2018 dr. Dennis Dobler
Derek van den Elsen Reinventing the territory optimizer. What makes a balanced aesthetic?, September 2018 Irving van Heuven van Staereling MSc en prof.dr. Rob van der Mei
Anya Pechina Real-time dispatching and relocation of service engineers, August 2018 prof.dr. Rob van der Mei
Omesh Debipersad Predicting outliers in the steam and water sensors of [...]. A data driven research to predict outliers [...] (confidential), August 2018 dr. Mark Hoogendoorn
Marius van den Bergh Weerman Improving the parameter study of individual life of Vivat (confidential), August 2018 dr. Eduard Belitser
Luc Severeijns Challenging LGD models with machine learning, August 2018 prof.dr. Sandjai Bhulai
Shanti Bruyn Predictive maintenance for sewer systems using machine learning. A comparative study on the performance of three algorithms, August 2018 prof.dr. Wan Fokkink
Georgios Christos Chouliaras Predicting customer loyalty using machine learning (confidential), August 2018 prof.dr. Wan Fokkink
Leidy Esperanza Molina Fernández Understanding user behavior in e-commerce with Long Short-term Memory (LSTM) and Autoencoders, August 2018 prof.dr. Sandjai Bhulai
Suzanne van der Velden A comparison of methods to increase the interpretability of neural networks on Twitter data (confidential), August 2018 prof.dr. Wan Fokkink
Kasper Meijjer Predicting hand luggage behaviour of KLM customers world wide (confidential), August 2018 dr. Mark Hoogendoorn
Dino Spirtovic Aircraft preventive maintenance: Task packaging & scheduling (confidential), August 2018 dr. René Bekker
Daan Bakker Missing data analysis (confidential), August 2018 prof.dr. Guszti Eiben
Claudia Sulsters Ranking the future stars. A machine learning approach to predict the performance of a potential Formula 3 driver, August 2018 prof.dr. Sandjai Bhulai
Dennis Kraakman Breast cancer classification using deep learning (confidential), August 2018 dr. Rutger Hofman
Tirza Jochemsen A comparative study of attribution models (confidential), August 2018 prof.dr. Sandjai Bhulai
Jan-Willem Feilzer Predicting lessee switch behavior. An empirical comparison of neural networks and logit models, August 2018 dr. Elenna Dugundji
Milou Meeuwisse Connecting the dots. Developing an algorithm for consistency checking in military intelligence, August 2018 prof.dr. Wan Fokkink
Marjolein Bosson Modeling spread risk as a basis for the strategic asset allocation (confidential), August 2018 dr. Svetlana Borovkova
Veronika Zhezhela Recommendation engine for the wholesale customers, July 2018 prof.dr. Sandjai Bhulai
Desmond Cheung Optimization of text extraction on law enforcement data, July 2018 dr. Mark Hoogendoorn
Arno Hendriksen Predicting employee attrition [...] (confidential), July 2018 prof.dr. Mathisca de Gunst
Nils Mackay In-game win probability estimation in football (confidential), July 2018 prof.dr. Rob van der Mei
Tim Elfrink Performance of exploration methods using DQN, July 2018 Ali el Hassouni MSc
Jesper Slik Prescribing customer interactions using Markov decision theory (confidential), July 2018 prof.dr. Sandjai Bhulai
Jantine Flendrie Predicting e-commence cross-sell items using machine learning techniques (confidential), July 2018 dr. Eduard Belitser
Laura van der Bijl Het voorspellen van het boekingsgedrag (confidential), July 2018 prof.dr. Ger Koole
Thomas Heeneman Neuro-evolution for image classification to solve the complex design challenges of convolutional neural networks (confidential), July 2018 prof.dr. Guszti Eiben
Brian Verweij Modelling consultancy pipeline revenue using machine learning and artificial intelligence (confidential), July 2018 prof.dr. Joost Hulshof
Judith Bol De toekomst van postzegel (confidential), July 2018 prof.dr. Ronald Meester
Rozemarijn Veldhuis A comparison of transport strategies for truck transport of export freight at Amsterdam Airport Schiphol (confidential), July 2018 dr. Elenna Dugundji
Babiche de Jong Achieving trustworthiness and transparency in scrap trade by implementing a scoring algorithm (confidential), June 2018 prof.dr. Sandjai Bhulai
Yura Perugachi-Diaz A machine learning-based prediction of credit risk for a micro-credit institution (confidential), May 2018 dr. Dennis Dobler
Jeroen Hörters Churn analytics in Utrecht Libraries. A data-driven approach using machine learning, May 2018 dr. Rikkert Hindriks
Kylie van der Moot Comparison of airline ancillary recommendation models (confidential), April 2018 dr. Mark Hoogendoorn
Mark Menagie A comparison of machine learning algorithms using an insufficient number of labeled observations, March 2018 dr. Mark Hoogendoorn
Jeffrey de Deijn Automatic car damage recognition using convolutional neural networks, March 2018 dr. Mark Hoogendoorn
Pjotr Roelofsen Time series clustering, March 2018 prof.dr. Sandjai Bhulai
Jan van der Vegt Airline check-in process optimization by using passenger level predictions (confidential), February 2018 prof.dr. Ger Koole
Sil Grosscurt Data-gedreven inkoop van verse bloemen en planten. Een onderzoek naar de mogelijkheden van data en machine learning in de tuinbouw wereld (confidential), February 2018 prof.dr. Sandjai Bhulai
Marloes Boxelaar Efficiënt inplannen van structurele transportorders, February 2018 dr. René Bekker
Linda Koetsier Improving the current risk driver approach for the projection of the Solvency Capital Requirement (confidential), January 2018 dr. Eduard Belitser
Valeria Fonti Hotel clustering (confidential), December 2017 dr. Davide Ceolin
Hessel Jonker Electric ambulances, November 2017 dr. René Bekker
Chi Chun Wan Forecasting e-commerce key performance indicators, November 2017 dr. Mark Hoogendoorn
Laurens Bos Hospital bed occupancy prediction. Developing and implementing a predictive analytics decision support tool to relate operation room usage to bed occupancy, November 2017 prof.dr. Ger Koole
Manon Wintgens The impact of the global financial crisis on the profitability of independent wholesale distributors in Europe (confidential), October 2017 dr. Eduard Belitser
My Loan Tong Cross-sell product prediction at Travix (confidential), September 2017 dr. Eduard Belitser
Tobias Dekker Predicting the duration of a low voltage power outage (confidential), August 2017 dr. Eduard Belitser
Job Ammerlaan Clustering and peer pricing of TNT Express’ customer base. Taking a clustering approach to customer segmentation and pricing analysis for a logistic integrator company (confidential), August 2017 prof.dr. Ger Koole
Nikita Galinkin Catch them if you can. A simulation study on malicious behavior in a cultural heritage question answering system, August 2017 dr. Lora Aroyo
Jullian van Kampen Decision modelling for transport to the Danube region. Forecasting the choice of modality and an analysis of water level development (confidential), August 2017 dr. Elenna Dugundj i
Georgios Christos Chouliaras Predicting participant behavior and dropout in a physical activity experiment using machine learning (confidential), August 2017 Bart Kamphorst MSc BA
Dimitry Erkin Delivery routing challenge for a European retailer, August 2017 prof.dr. Ger Koole
Léon Roeterdink Een online compressie algoritme voor grote hoeveelheden AIS data, (confidential), July 2017 dr. Evert Haasdijk
Irene Oudshoorn Sales value optimisation, (confidential), July 2017 dr. Eduard Belitser
Abel Hijmans Passenger demand forecasting in the European aviation market, (confidential), July 2017 dr. Evert Haasdijk
Koen Koopen process conformance in the audit. identifying bottlenecks in the purchasing process, July 2017 dr. Mark Hoogendoorn
Suzanne Wetstein Designing a Dutch financial chatbot. Applying natural language processing and machine learning techniques to retrieval-based question answering, July 2017 dr. Tobias Kuhn
Adnan Kuhait A mathematical model for optimizing refugees’ chances at the Dutch labor market (confidential), July 2017 prof.dr. Sandjai Bhulai
Kevin Land Propagation of parameter uncertainty in a cyber risk quantification model (confidential), July 2017 dr. Eduard Belitser
Marieke Kortsmit Prediction of car residual values (confidential), July 2017 dr. mr. Bram Gorissen
Erwin Huijzer Identifying effective affective email responses; Predicting customer affect after email conversation, July 2017 dr. Davide Ceolin
Nauman Yousaf Predicting e-commerce orders returns and cancellations using machine learning, July 2017 prof.dr. Sandjai Bhulai
Youri van Son Sentiment analysis in annual reports to detect fraud (confidential), June 2017 dr. Jan Wielemaker
Bram Rodenburg Tumor cell segmentation in immunofluorescence imaging using  deep learning. Distinguishing malignant epithelium from normal epithelium in head and neck squamous cell carcinomas (confidential), June 2017 dr. Ted Meeds
Hanna Nap Detecting politically exposed persons (confidential), May 2017 dr. Mark Hoogendoorn
Sabine Goezinne Customer churn prediction for a telecom company, April 2017 dr. Evert Haasdijk
Priy Werrij Simulation modelling for evaluation & optimisation of the outbound Amazon logistics supply chain, April 2017 prof.dr. Sandjai Bhulai
Else Wolfswinkel Scheduling patients at the outpatient clinic. An approximate dynamic programming approach, February 2017 dr. René Bekker
Ali el Hassouni Fraud detection using machine learning methods (confidential), January 2017 dr. Mark Hoogendoorn
Indrek Pärna Scarce data inventory control, January 2017 dr. Bartek Knapik