Student theses (THES)
Adali, A.C.
Classifying observe and reverse sides of ancient roman coins: with machine learning and deep learning algorithms
cognitive science and artificial intelligence
Ajdid, H.
Predicting word learning: a structured model comparison in cross-situational word learning
cognitive science and artificial intelligence; data science and society
Akca, E.
Seeing beyond the surface: classifying skin lessons: convolutional neural networks vs. vision transformers: which model performs better in skin lesion classification?
cognitive science and artificial intelligence
Al-Tayeb, Y.
Predicting consumer behavior in online shopping using clickstream data and machine learning algorithms
cognitive science and artificial intelligence; data science and society
Aldemir, M.U.
Unlocking the little: classifying sub-cellular protein patterns in human cells: a comparative study and endeavor between convolutional neural networks and vision transformers
cognitive science and artificial intelligence
Apers, J.
Evaluating the effectiveness of LSTM-based models for hotel pricing optimization: a comparative analysis with traditional methods
cognitive science and artificial intelligence; data science and society
As, J. van
Storytelling real estate: predicting house prices using NLP
cognitive science and artificial intelligence; data science and society
Aslan, F.
Bias assessment in large language models
cognitive science and artificial intelligence; data science and society
Bahadin, E.
Data-driven police enforcement: predictive policing and mitigated biases: quantitative study exploring the high crime areas in the province of North Brabant
cognitive science and artificial intelligence; data science and society
Blom, F.A.M.
Building a conversational agent with Rasa to enrich a medical abstracts dataset
cognitive science and artificial intelligence
Hu, V.S.-S.
Human activity recognition for medical scenarios: the potential of recurrent deep learning models
cognitive science and artificial intelligence
Klaver, M.
Applying named entity recognition to solve the product matching problem within the technical spare parts wholesales sector
cognitive science and artificial intelligence
Limpens, J.H.B.
On the reliability of minimum-norm source estimation in studies of the event-related potential: an investigation of the generators of the N400 and P600 components of the ERP
cognitive science and artificial intelligence
Lingen, M.Y. van
Discovering the unseen: enhancing person detection in forests with the power of Thermal Airborne Optical Sectioning and object detection and contrast adjustment
cognitive science and artificial intelligence
Lixandru, A.
Enhancing deep reinforcement learning: addressing task interference through multitask policy distillation
cognitive science and artificial intelligence
Luksen, V.
Just dance performance evaluation with skeletal data
cognitive science and artificial intelligence
Martys, M.
Predicting 3D structure of an object based on single photo: a surface reconstruction of point clouds generated by convolutional neural networks
cognitive science and artificial intelligence
Matiu, S.
Unveiling the secrets of second language reading through the eyes
cognitive science and artificial intelligence
Matthews, B.
Optimizing sales forecasting using collaborative filtering assisted ARDL models: a potential solution for small e-commerce companies
cognitive science and artificial intelligence
Meijer, B.
Lung cancer segmentation in PET-CT scans using deep learning
cognitive science and artificial iintelligence
Michels, L.
Working memory in simultaneous linguistic and musical syntactic processing: a neuroimaging approach
cognitive science and artificial intelligence
Mol, R.J.P.
Prediction of Premier League football match outcomes
cognitive science and artificial intelligence
Moradi, S.
Evaluating U-net and attention mechanisms for automatic lung segmentation in CT and X-ray images: a study on the effectiveness of deep learning algorithms for medical image analysis
cognitive science and artificial intelligence
Mouratidi, M.
Simulating Twitter topic dynamics with fuzzy cognitive maps
cognitive science and artificial intelligence
Nastasie, S.T.
Progressive revealing of principal components: a novel task for investigating visual word recognition
cognitive science and artificial intelligence
Orval, A.
Budgeting on national health expenditure: considering death rates and external variables
cognitive science and artificial intelligence; data science and society
Özdemir, O.
Semi-Supervised Learning Pipeline for evaluating question-answer pairs using Generative Pre-trained Transformer 3
cognitive science and artificial intelligence; data science and society
Peeters, K.
Predicting individual performance in artificial language learning
cognitive science and artificial intelligence; data science and society
Pham, A.N.
Timeseries forecasts for charging station daily sales using feature engineering and selection
cognitive science and artificial intelligence; data science and society
Picchiarelli, R.
Thriving the music industry: machine learning models for entering the billboard hot 100 using Spotify data and lyrics
cognitive science and artificial intelligence; data science and society
Pijpelink, H.
Distillation and generalization in deep reinforcement learning
cognitive science and artificial intelligence
Písecká, B.
Predicting procrastination from smartphone use data using frequent sequential patterns
cognitive science and artificial intelligence; data science and society
Plaisier, B.
Comparing efficiency of different deep learning models on predicting photovoltaic power generation
cognitive science and artificial intelligence; data science and society
Priebe, D.
Efficient speech detection in environmental audio using acoustic recognition and model distillation
cognitive science and artificial intelligence
Rapiej, A.J.
Predicting body dysmorphic disorder among Dutch students based on phone usage using binary classification models
cognitive science and artificial intelligence; data science and society
Rienen, J.T.A. van
Predicting student’s performance in higher education comparing multiple machine learning algorithms
cognitive science and artificial intelligence; data science and society
Rietberg, P.
Perceived regimen compared to prescribed regimen: a machine learning approach
cognitive science and artificial intelligence; data science and society
Rinchen Dorjee, T.
To what extent can a graph convolutional neural network be used to predict passenger inflow?
cognitive science and artificial intelligence; data science and society
Rincon Caicedo, J.S.
Detecting illicit activity on the Ethereum network exclusively on a transactional level
cognitive science and artificial intelligence; data science and society
Rojot, Q.
MGMT promoter methylation status assay using machine learning algorithms and convolutional neural networks
cognitive science and artificial intelligence; data science and society
Roode, R.C. de
Using computer cursor tracking to predict mind wandering
cognitive science and artificial intelligence
Rönnback, R.
Data-driven news outlet bias detection with GDELT: patterns and explanations of news outlet political bias
cognitive science and artificial intelligence
Rueda Rivas, E.
A drug consumption recency prediction based on personality trait scores
cognitive science and artificial intelligence
Run, J. van
Predicting speed dating: a machine learning approach
cognitive science and artificial intelligence; data science and society
Rüger, C.A.S.
Never change a winning team, or should you?: assessing the impact of coach interventions in player lineups in sports using machine learning models
cognitive science and artificial intelligence; data science and society
Saldarelli, E.
Forecasting anomalies and remaining useful life for a potato peeling belt with SCADA data
cognitive science and artificial intelligence; data science and society
Salehi Shahrabi, N.
Predicting depression status of Dutch children by applying machine learning algorithms
cognitive science and artificial intelligence; data science and society
Sanver, M.
The impact of gestures on language learning: implications for online learning platforms
cognitive science and artificial intelligence
Scheepers, B.A.
Classifying mental disorders based on musical preferences: a machine learning and deep learning approach
cognitive science and artificial intelligence
Scholten, J.
Medical image segmentation of the catheter in X-ray images
cognitive science and artificial intelligence; data science and society
Semler, D.
Implementing a recurrent neural network with time-series input data in conflict prediction as multi-classification task
cognitive science and artificial intelligence
Senneker, E.I.
Alzheimer’s disease and frontotemporal dementia classification using EEG data: a machine learning approach
cognitive science and artificial intelligence
Shakib, A.
Predicting social dynamics in child-robot interaction with gaze
cognitive science and artificial intelligence; data science and society
Sitaldin, N.
Thyroid disease prediction and symptom exploration during early pregnancy: a machine learning approach towards obstetrical psychopathology
cognitive science and artificial intelligence; data science and society
Slaats, B.
Forecasting solar photovoltaic power generation: a comparison of tree-based machine-learning algorithms and a TabNet architecture
cognitive science and artificial intelligence; data science and society
Smit, T.T. de
Leveraging page features from invoice documents to predict multi-page document structure
cognitive science and artificial intelligence; data science and society
Smith, C.J.K.
Machine learning prediction of cognition: through structure-function coupling in the frontoparietal and default mode networks
cognitive science and artificial intelligence
Smits, Q.L.C.
A deep reinforcement learning approach to general game testing
cognitive science and artificial intelligence
Somaidien, R.
Predicting single-victim homicide offender characteristics with SVM and random forests
cognitive science and artificial intelligence; data science and society
Spapens, Y.
Predicting stress using ordinal regression techniques
cognitive science and artificial intelligence; data science and society
Stamatoiu, D.A.
AI-oriented communication in a game engine with hybrid multi-agent systems using reinforcement learning
cognitive science and artificial intelligence
Stratmann, V.
Retinal disease classification from fundus images using deep neural networks
cognitive science and artificial intelligence; data science and society
Straub, F.
Exploration of audio signal classification methods for the airport Paderborn-Lippstadt
cognitive science and artificial intelligence
Strien, R. van
Predicting major depressive disorder with machine learning models and frontal alpha asymmetry
cognitive science and artificial intelligence; data science and society
Tettero, N.E.F.
Exploring the application of a sentiment classifiers based on Bidirectional Encoder Representations from Transformers (BERT) in a political context
cognitive science and artificial intelligence; data science and society
Tijhuis, T.
Predicting chess rating based on a single game
cognitive science and artificial intelligence; data science and society
Tollenaar, D.
Boxing punch classification with accelerometer data
cognitive science and artificial intelligence
Tran, N.
Comparison between deep and shallow machine learning algorithms in Dutch house prices prediction
cognitive science and artificial intelligence; data science and society
Tran, N.
Predicting green bond issuance: an explainable machine learning approach
cognitive science and artificial intelligence; data science and society
Tuynman, B.
Emotion recognition in audio samples containing speech: tuning for a sound classification
cognitive science and artificial intelligence; data science and society
Tzouvaras, C.
Fake news detection based on linguistic features of headlines: do first impressions matter?
cognitive science and artificial intelligence; data science and society
Valckx, M.
Predicting modified early warning scores from nurses’ logs using supervised machine learning approaches
cognitive science and artificial intelligence; data science and society
Veghel, S. van
Identifying success factors in online learning by subgroup discovery
cognitive science and artificial intelligence; data science and society
Velden, C. van der
Forecasting stock prices while using binary classification machine algorithms
cognitive science and artificial intelligence; data science and society
Verbeek, S.P.
Predicting outcome in Rocket League based on competitive match data: a deep dive into the importance of feature selection
cognitive science and artificial intelligence
Verheij, L.
Tension prediction in competitive hearthstone
cognitive science and artificial intelligence; data science and society
Verloop, P.
The generative adversarial network for stock price predictions
cognitive science and artificial intelligence; data science and society
Vis, D.J.C.
Modeling traffic with fuzzy cognitive maps: how to reduce traffic jams
cognitive science and artificial intelligence
Vlahova, G.S.
Beyond the diagnosis: empowering athletes’ knee injuries with deep learning: a comparative study on MRI scans and scans enhancement with Real-ESRGAN
cognitive science and artificial intelligence
Vlodrop, M. van
Misinformation detection using deep reinforcement learning: a study of how deep reinforcement learning can improve existing automated misinformation detection techniques
cognitive science and artificial intelligence; data science and society
Vlug, C.A.
Implementing Monte Carlo Tree Search in a Pokémon battle based environment
cognitive science and artificial intelligence
Vogtländer, M.C.
Predicting review ratings with the help of sentiment analysis: comparing sentiment analysis pre-processing techniques with machine learning models
cognitive science and artificial intelligence; data science and society
Voorden, L.J. van
Classification of Alzheimer’s disease using machine learning methods
cognitive science and artificial intelligence
Vries, A.W. de
Predicting the direction of switching in Covid-19 vaccination intentions: a machine-learning approach
cognitive science and artificial intelligence
Vries, N. de
Evaluating machine learning methods and oversampling on anomaly detection using electronic patient record data
cognitive science and artificial intelligence; data science and society
Wagemans, K.
Deep learning-based object recognition model for humanoid robot
cognitive science and artificial intelligence; data science and society
Waris, M.A.R.
Boosted decision trees for exotic partical detection
cognitive science and artificial intelligence; data science and society
Waterham, M.
Media and the migration debate: a machine-learning approach to sentiment analysis on Twitter
cognitive science and artificial intelligence
Weerts, T.
The next member of your household might be a robot: a multimodal deep learning approach in everyday-object recognition developed for robot implementation
cognitive science and artificial intelligence; data science and society
Weezel, T.G.G. van
Latent decomposition and recombination for controlled hallucination
cognitive science and artificial intelligence
Weijling, P.
Predicting passenger inflight satisfaction: comparing machine learning algorithms performance on travel characteristics as predictors
cognitive science and artificial intelligence; data science and society
Wielen, M.D.W. van der
Multi-class Alzheimer’s disease classification from structural MRI using vision transformers: a comparison of data-efficient and hierarchical vision transformers
cognitive science and artificial intelligence; data science and society
Wiertz, K.G.P.
Forecasting Dutch house prices using Funda data
cognitive science and artificial intelligence; data science and society
Wijnhoven, M.
Detecting synthetic images: the role of spatial frequencies
cognitive science and artificial intelligence
Williams, K.L.
A comparison of machine learning models to predict malaria incidence based on climatic conditions
cognitive science and artificial intelligence
Wilson, C.
Anomaly detection on low-cost air quality sensors using CNN prediction
cognitive science and artificial intelligence; data science and society
Wu, J.
Predicting the author of English adventure book paragraphs with machine learning methods
cognitive science and artificial intelligence; data science and society
Wu, Y.
Movie recommender system using deep autoencoders
cognitive science and artificial intelligence; data science and society
Xu, M.
A tight match: electric load forecasting with traditional machine learning and deep learning models
cognitive science and artificial intelligence; data science and society
Xu, Y.
Optimizing the performance of rainfall prediction in the Netherlands by using a machine learning approach
cognitive science and artificial intelligence; data science and society
Yanmaz, A.
Predicting freedom: an analysis of the United Nations General Debate Corpus
cognitive science and artificial intelligence; data science and society
Ye, Y.
Predicting B2B sales of Palo Alto Networks: a comparison of ARIMA and LSTM models
cognitive science and artificial intelligence; data science and society
Yildiz, H.
Optimization of stroke prediction using Multi Layer Perceptron and XGBoost
cognitive science and artificial intelligence; data science and society
Yüksel, A.B.
Credit risk scoring with TabNet architecture: a comparative study of TabNet with XGBoost and ANN
cognitive science and artificial intelligence; data science and society
Závodská, L.
A machine learning approach to predict consumer credit default risk and to analyze expected loss
cognitive science and artificial intelligence; data science and society
Zhao, Z.
Predicting supply chain backorder scenarios with machine learning models: based on missing value imputations, imbalanced data pre-processing techniques and machine learning algorithms
cognitive science and artificial intelligence; data science and society
Zhou, G.
Signer diarization of Kata Kolok using the pose estimation features with deep-learning models
cognitive science and artificial intelligence; data science and society
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