Artificial neural networks for sequential thinking

Artificial Intelligence Supported Design of Antibodies and Nanobodies

Complexity-Driven Modelling of Macro-Conditions in Patients with Bodily Distress Syndrome

Diffusion Model Design for Nanobody Generation

Efficient and Adaptive Learning for End-to-End HR systems

Energy Based Training of Multi-Modal Neural Networks

Highly Efficient Multi-Modal Encoder Models

Neuro-symbolic information extraction on clinical data

Scaling and Training of Modern Hopfield Networks

Affective Threads: Data-Driven Modeling of Emotional Processes in Social Interaction

AI-generated synthetic health data in oncology: opportunities and pitfalls

Conversational AI Explanation Systems

Deciphering the Semantics of Biomedical Texts

Doctoral project Cedric De Boom

Doctoral project Frederik Bode

Doctoral project Ioannis Bekoulis

Doctoral project Lucas Sterckx

Doctoral project Matthias Feys

Doctoral project Steven Van Canneyt

Doctoral project Stijn Van Ruymbeke

Doctoral project Thong Hoang Van Duc

Evaluation of distressed enterprises using machine learning and statistics: construction of an explainable model to assist judges in the Belgian Enterprise Courts

Evaluation of financially distressed companies using artificial intelligence

Interpreting and Aligning Large Language Models

Language Model Adaptation with Applications in Artificial Intelligence for Education

Modeling empathy in multimodal conversational agents

Multimodal Human-Robot Interaction

Multimodal Large Language Models for Conversational Agents

Neural Approaches to Entity-Centric Information Extraction

Resource-Efficient Data Annotation and Augmentation Methods for Conversational Agents

The use of artificial intelligence to support the chambers for companies in difficulty

Towards Efficient NLP Models: Strategies for Improving Data Selection, Training, and Inference

AI technologies

Complexity-driven modelling of macro-conditions in patients with Bodily Distress Syndrome

Complexity-driven modelling of macro-conditions in patients with Bodily Distress Syndrome

Fundamental physical and chemical study of the interaction between a non-thermal plasma and the surface of a porous biodegradable polyester scaffold

Integrating causal Bayesian networks and neural networks for probabilistic reasoning with complex data

Multimodal Hopfield networks: a step towards next-generation AI

Multimodal Hopfield networks: a step towards next-generation AI

Physics Guided Diffusion Models for Protein Generation

Design and analysis of multilingual-learning based models for advanced natural language understanding applications

Design and analysis of multilingual-learning based models for advanced natural language understanding applications

Evaluation of distressed enterprises using explainable machine learning: construction of an artificial intelligence algorithm to assist judges in the Belgian Enterprise Courts

METRICS: Modelling Emotion TRajectories In Customer Service dialogues