A combined framework of machine learning and extreme value theory for anomaly detection and ranking

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning.

Advanced machine learning methods for spatio-temporal modelling

Combining network science and artificial intelligence for analysis and prediction of interactions among animals and humans

Compound extreme climate events: conceptual definitions, statistical identification,  ecological and agronomical effects.

Discriminative Metric Learning for Scene Recognition Based on Deep Features

Doctoral project Aisling Daly

Doctoral project Elien Van de Walle

Doctoral project Jan Baetens

Doctoral project Jan Verwaeren

Doctoral project Karolien Scheerlinck

Doctoral project Kirsten Van Huffel

Doctoral project Laura Hoebeke

Doctoral project Margot Vanhoubroeck

Doctoral project Michiel Elewaut

Doctoral project Michiel Stock

Doctoral project Pieter Van der Weeën

Doctoral project Raul Perez Fernandez

Doctoral project Sofie Landschoot

Doctoral project Steffie Van Nieuland

Doctoral project Ward Blondé

Exploiting Data Compositionality using Tensor products and Hyperdimensional Computing.

Image-based analysis of early biomarkers for neurodegenerative diseases

Predicting and understanding phage-host interactions with machine learning tools based on phage receptor-binding proteins.

Probabilistic models of plant growth

Advancing individual-based models rooted in metabolic theory: from organism physiology towards community dynamics.

A qualitative representation of moving point configurations with illustrations in micro traffic analysis

Bias adjustment of climate model outputs for the stochastic generation of meteorological variables and river discharge.

Computer vision and network analysis methods for studying interaction patterns of farm animals based on video monitoring

Crop performance prediction through integration of genetic, environment and agronomic management data

Development of an expert system for optimizing the formulation of tablets

Dietary (bio)diversity: quantification, validation, and public health recommendations

Doctoral project Arne Deloose

Doctoral project Bert Verslyppe

Doctoral project Damiano Oldoni

Doctoral project Ellen Colman

Doctoral project Giulia Gonnelli

Doctoral project Ivan Stefanov

Doctoral project Jasper Beernaerts

Doctoral project Lander De Visscher

Doctoral project Matthys Lucas Steyn

Doctoral project Matthys Lucas Steyn

Doctoral project Michaël Vyverman

Doctoral project Ramanan Muthuraman

Doctoral project Sivee Chawla

Doctoral project Steven Freson

Doctoral project Waldemar Baldoquín Rodríguez

Doctoral project Wim De Smet

Hybrid models of dynamical systems: neural differential equations, Shapley value analysis and illustrations in water systems

Mathematical modelling of invasion and higher-order interactions in ecosystems

Probabilistic models of plant growth

Responding to a warming ocean: a case study of the brown seaweed Dictyota dichotoma

Using near-infrared spectra of coffee beans and engaging citizens for the assessment of coffee quality

A combined framework of machine learning and extreme value theory for anomaly detection and ranking

A computational framework for combinatorial design of molecules, genes and cells

Advanced impedimetric system characterization for engineering and the life sciences

Algorithms on posets and comparability graphs: enumeration, transitive orientation and stochastic dominance extension.

A new theory of aggregation: From ordered to non-ordered structured data

An integrated prediction system for genomic selection (type 1)

A reasoned and knowledge-driven approach to Alternaria spp. in potatoes

Assessing the biological capacity for marine ecosystem resilience: Acclimation and adaptation in a rapidly changing environment

Automatically generate optimal model structures biosystems through genetic programming and symbolic manipulations

Bioinformatics: from nucleotids to networks (N2N)

Conflict resolution and decision making in the applied biological sciences

Contour lines, companions and zooms: new tools for studying aggregation operators

Digital innovation for man and society

Efficient algorithms for extreme classification

Enhanced spatially explicit modelling of valuable marine organisms by assessing the primary habitability of Cuban waters

Evolutionary pattern recognition in complex biological networks

Food quality through informatics: data-driven solutions for the development of intelligent packaging technologies

High-dimensional Distance Metric Learning for Ordinal Classification

In situ Biofilm

Kernel Mean Embedding as the grand unifying theory for working with distributional data in pharmaceutical applications

Local air quality monitoring strategies with heterogeneous networks of low-cost and high quality mobile sensors

Meso-scale modelling of reaction-diffuse processes using cellular automata

Modelling, analysis and control of microbial populations for sustainable nitrogen removal from wastewater

Monotonicity issues in decision making and voting

Prediction of deoxynivalenol levels in Fusarium spp. in grain with regression-based learning algorithms

Reciprocal preference relations transitivity properties and graph structures as knowledge instruments for complex learning algorithms.

Spatially explicit modeling of fungal growth

Spatially explicit modelling of filtration cakes

The role and position of transitivity in various relational frameworks

Understanding, predicting and controlling community ecosystems by means of machine learning methods

A digital phagogram for personalized phage therapy

Analysing and modelling pedestrian movements at mass events using Bluetooth

A thorough analysis of similarity measures for learning from heterogeneous data sources

Checkpack: Integrated optical sensors in food packaging to simultaneously detect early-spoilage and check package integrity

Control of the rumen for the efficient metabolism of 22: 6n-3: identification of intermediates and relevant microorganisms

Deep reinforcement learning as a control strategy for wastewater treatment plants

Development of IPM tools for the control of aphids and corn cockle in the cereal crop

Fungal susceptibility of bio-based building materials: a multi-scale assessment.

IDEA: Intelligent, Distributed Environmental Assessment

Improving drought monitoring through assimilating multi-source remote sensing observations in hydrologic models

Improving epideiological modelling using satellite derived soil moisture proxies

In a reasoned and knowledge-driven approach of Alternaria spp. in potato

Uncertainty propagation in rainfall-runoff models due to inaccurate model parameters

JPI HDHL ENPADASI