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Project
Research Program Artificial Intelligence - 2020
Information
Project Team
Organisations
Outputs and Outcomes
Publications
Development and validation of a fully automated tool to quantify 3D foot and ankle alignment using weight-bearing CT
Ide Van den Borre
Matthias Peiffer
Roel Huysentruyt
Manu Huyghe
Jean Vervelghe
Aleksandra Pizurica
Emmanuel Audenaert
Arne Burssens
A1
Journal Article
in
GAIT & POSTURE
2024
Heterogeneous regularization-based tensor subspace clustering for hyperspectral band selection
Shaoguang Huang
Hongyan Zhang
Jize Xue
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2023
On interpretability of CNNs for multimodal medical image segmentation
Srdan Lazendic
Jens Janssens
Shaoguang Huang
Aleksandra Pizurica
P1
Conference
2022
Subspace clustering for hyperspectral images via dictionary learning with adaptive regularization
Shaoguang Huang
Hongyan Zhang
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2022
A structural subspace clustering approach for hyperspectral band selection
Shaoguang Huang
Hongyan Zhang
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2022
Hybrid-hypergraph regularized multiview subspace clustering for hyperspectral images
Shaoguang Huang
Hongyan Zhang
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2022
Deep image hashing based on twin-bottleneck hashing with variational autoencoders
Maxim Verwilst
Nina Žižakić
Lingchen Gu
Aleksandra Pizurica
P1
Conference
2021
Assisting classical paintings restoration : efficient paint loss detection and descriptor-based inpainting using shared pretraining
Laurens Meeus
Shaoguang Huang
Nina Žižakić
Xianghui Xie
Bart Devolder
Hélène Dubois
Maximiliaan Martens
Aleksandra Pizurica
P1
Conference
2021
A two-stream neural network architecture for the detection and analysis of cracks in panel paintings
Roman Sizyakin
Bruno Cornelis
Laurens Meeus
Viacheslav Voronin
Aleksandra Pizurica
P1
Conference
2021
Delegation to autonomous agents promotes cooperation in collective-risk dilemmas
Elias Fernández Domingos
Inês Terrucha
Rémi Suchon
Jelena Grujic
Juan Carlo Burguillo
Francisco C. Santos
Tom Lenaerts
C1
Conference
2020
Batch Bayesian active learning for feasible region identification by local penalization
Jixiang Qing
Nicolas Knudde
Ivo Couckuyt
Tom Dhaene
Kohei Shintani
P1
Conference
2020
Anomaly detection for autonomous guided vehicles using Bayesian surprise
Ozan Catal
Sam Leroux
Cedric De Boom
Tim Verbelen
Bart Dhoedt
P1
Conference
2020
A survey on distributed machine learning
Joost Verbraeken
Matthijs Wolting
Jonathan Katzy
Jeroen Kloppenburg
Tim Verbelen
Jan S. Rellermeyer
A1
Journal Article
in
ACM COMPUTING SURVEYS
2020
Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0)
Sofie Labat
Thomas Demeester
Veronique Hoste
Report
2020
EEG correlates of learning from speech presented in environmental noise
Ehsan Eqlimi
Annelies Bockstael
Bert De Coensel
Marc Schönwiesner
Durk Talsma
Dick Botteldooren
A1
Journal Article
in
FRONTIERS IN PSYCHOLOGY
2020
Using a personalised socially assistive robot for cardiac rehabilitation : a long-term case study
Bahar Irfan
Nathalia Cespedes Gomez
Jonathan Casas
Emmanuel Senft
Luisa F. Gutierrez
Monica Rincon-Roncancio
Marcela Munera
Tony Belpaeme
Carlos A. Cifuentes
P1
Conference
2020
Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data
Tom Van Steenkiste
Dirk Deschrijver
Tom Dhaene
C1
Conference
2020
Interpretable epilepsy detection in routine, interictal EEG data using deep learning
Thomas Uyttenhove
Aren Maes
Tom Van Steenkiste
Dirk Deschrijver
Tom Dhaene
C1
Conference
2020
Drivetrain system identification in a multi-task learning strategy using partial asynchronous elastic averaging stochastic gradient descent
Tom Staessens
Guillaume Crevecoeur
P1
Conference
2020
Learned BRIEF : transferring the knowledge from hand-crafted to learning-based descriptors
Nina Žižakić
Aleksandra Pizurica
P1
Conference
2020
Learning generative state space models for active inference
Ozan Catal
Samuel Wauthier
Cedric De Boom
Tim Verbelen
Bart Dhoedt
A1
Journal Article
in
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
2020
Evaluation of generative modeling techniques for frequency responses
Federico Garbuglia
Domenico Spina
Dirk Deschrijver
Tom Dhaene
C1
Conference
2020
A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing
Rémi Delanghe
Tom Van Steenkiste
Ivo Couckuyt
Dirk Deschrijver
Tom Dhaene
C1
Conference
2020
Recipe instruction semantics corpus (RISeC) : resolving semantic structure and zero anaphora in recipes
Yiwei Jiang
Klim Zaporojets
Johannes Deleu
Thomas Demeester
Chris Develder
C1
Conference
2020
Mining topological structure in graphs through forest representations
Robin Vandaele
Yvan Saeys
Tijl De Bie
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2020
FONDUE : framework for node disambiguation using network embeddings
Ahmad Mel
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
A deep learning approach to crack detection on road surfaces
Roman Sizyakin
Viacheslav V. Voronin
Nikolay Gapon
Aleksandra Pizurica
P1
Conference
2020
A deep learning-based approach for defect detection and removing on archival photos
Roman Sizyakin
V. Voronin
N. Gapon
A. Zelensky
Aleksandra Pizurica
C1
Conference
2020
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
Tom Van Steenkiste
Willemijn Groenendaal
Pauline Dreesen
Seulki Lee
Susie Klerkx
Ruben de Francisco
Dirk Deschrijver
Tom Dhaene
A1
Journal Article
in
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
2020
You only look as much as you have to : using the free energy principle for active vision
Toon Van de Maele
Tim Verbelen
Ozan Catal
Cedric De Boom
Bart Dhoedt
C1
Conference
2020
Sleep : model reduction in deep active inference
Samuel Wauthier
Ozan Catal
Cedric De Boom
Tim Verbelen
Bart Dhoedt
C1
Conference
2020
Block-approximated exponential random graphs
Florian Adriaens
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Benchmarking network embedding models for link prediction : are we making progress?
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Synthetic data generator for electric vehicle charging sessions : modeling and evaluation using real-world data
Manu Lahariya
Dries Benoit
Chris Develder
A1
Journal Article
in
ENERGIES
2020
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
Meizhu Li
Shaoguang Huang
Jasper De Bock
Gert de Cooman
Aleksandra Pizurica
A1
Journal Article
in
SENSORS
2020
Cooperative multi-sensor tracking of vulnerable road users in the presence of missing detections
Martin Dimitrievski
David Van Hamme
Peter Veelaert
Wilfried Philips
A1
Journal Article
in
SENSORS
2020
Multimodal target detection by sparse coding : application to paint loss detection in paintings
Shaoguang Huang
Bruno Cornelis
Bart Devolder
Maximiliaan Martens
Aleksandra Pizurica
A1
Journal Article
in
IEEE TRANSACTIONS ON IMAGE PROCESSING
2020
An SDN-based framework for slice orchestration using in-band network telemetry in IEEE 802.11
P.H. Isolani
Jetmir Haxhibeqiri
Ingrid Moerman
Jeroen Hoebeke
J.M. Marquez-Barja
L.Z. Granville
Steven Latré
P1
Conference
2020
Defining a synthetic data generator for realistic electric vehicle charging sessions
Manu Lahariya
Dries Benoit
Chris Develder
C1
Conference
2020
Learning perception and planning with deep active inference
Ozan Catal
Tim Verbelen
Johannes Nauta
Cedric De Boom
Bart Dhoedt
P1
Conference
2020
Deep active inference for autonomous robot navigation
Ozan Catal
Samuel Wauthier
Tim Verbelen
Cedric De Boom
Bart Dhoedt
C1
Conference
2020
Crack detection in paintings using convolutional neural networks
Roman Sizyakin
Bruno Cornelis
Laurens Meeus
Hélène Dubois
Maximiliaan Martens
Viacheslav Voronin
Aleksandra Pizurica
A1
Journal Article
in
IEEE ACCESS
2020
Learning robots to grasp by demonstration
Elias De Coninck
Tim Verbelen
Pieter Van Molle
Pieter Simoens
Bart Dhoedt
A1
Journal Article
in
ROBOTICS AND AUTONOMOUS SYSTEMS
2020
A voltage and current measurement dataset for plug load appliance identification in households
Roberto Medico
Leen De Baets
Jingkun Gao
Suman Giri
Emre Kara
Tom Dhaene
Chris Develder
Mario Berges
Dirk Deschrijver
A1
Journal Article
in
SCIENTIFIC DATA
2020
Network representation learning for link prediction : are we improving upon simple heuristics?
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
Preprint
2020
DeBayes : a Bayesian method for debiasing network embeddings
Maarten Buyl
Tijl De Bie
P1
Conference
2020
Sketch-based subspace clustering of hyperspectral images
Shaoguang Huang
Hongyan Zhang
Qian Du
Aleksandra Pizurica
A1
Journal Article
in
REMOTE SENSING
2020
ALPINE : Active Link Prediction using Network Embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2020
System identification with time-aware neural sequence models
Thomas Demeester
P1
Conference
2020
Weakly supervised deep learning method for vulnerable road user detection in FMCW radar
Martin Dimitrievski
Ivana Shopovska
David Van Hamme
Peter Veelaert
Wilfried Philips
P1
Conference
2020
Gibbs sampling subjectively interesting tiles
Anes Bendimerad
Jefrey Lijffijt
Marc Plantevit
Celine Robardet
Tijl De Bie
P1
Conference
2020
Automated visual inspection algorithm for the reflection detection and removing in image sequences
Roman Sizyakin
Viacheslav V. Voronin
Nikolay Gapon
Alexey Nadykto
Aleksandra Pizurica
Alexander Zelensky
P1
Conference
2020
Relaxing the strong triadic closure problem for edge strength inference
Florian Adriaens
Tijl De Bie
Aristides Gionis
Jefrey Lijffijt
Antonis Matakos
Polina Rozenshtein
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
Explainable subgraphs with surprising densities : a subgroup discovery approach
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020