A virtual reality-based multiplayer game using fine-grained localization. - Tom De Schepper; Bart Braem; Steven Latré (GIIS, 2015)

Software-defined multipath-TCP for smart mobile devices. - Tom De Schepper; Jakob Struye; Ensar Zeljkovic; Steven Latré; Jeroen Famaey (CNSM, 2017)

DiMob: Scalable and seamless mobility in SDN managed wireless networks. - Ian Vermeulen; Patrick Bosch; Tom De Schepper; Steven Latré (CNSM, 2017)

ORCHESTRA: Virtualized and programmable orchestration of heterogeneous WLANs. - Ensar Zeljkovic; Tom De Schepper; Patrick Bosch; Ian Vermeulen; Jetmir Haxhibeqiri; Jeroen Hoebeke; Jeroen Famaey; Steven Latré (CNSM, 2017)

SDN-based transparent flow scheduling for heterogeneous wireless LANs. - Tom De Schepper; Patrick Bosch; Ensar Zeljkovic; Koen De Schepper; Chris Hawinkel; Steven Latré; Jeroen Famaey (IM, 2017)

A transparent load balancing algorithm for heterogeneous Local Area Networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (IM, 2017)

Dynamic BLE-based fingerprinting for location-aware smart homes. - Tom De Schepper; Alexander Vanhulle; Steven Latré (SCVT, 2017)

Load balancing and flow management under user mobility in heterogeneous wireless networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (CNSM, 2018)

A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks. - Patrick Bosch; Tom De Schepper; Ensar Zeljkovic; Farouk Mahfoudhi; Yorick De Bock; Jeroen Famaey; Steven Latré (WOWMOM, 2018)

ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks. - Tom De Schepper; Patrick Bosch; Ensar Zeljkovic; Farouk Mahfoudhi; Jetmir Haxhibeqiri; Jeroen Hoebeke; Jeroen Famaey; Steven Latré (IEEE Trans. Netw. Serv. Manag., 2018)

Flow Management and Load Balancing in Dynamic Heterogeneous LANs. - Tom De Schepper; Steven Latré; Jeroen Famaey (IEEE Trans. Netw. Serv. Manag., 2018)

Multi-technology management of heterogeneous wireless networks - Tom De Schepper (2019)

Detection of traffic patterns in the radio spectrum for cognitive wireless network management. - Miguel Camelo; Tom De Schepper; Paola Soto; Johann Márquez-Barja; Jeroen Famaey; Steven Latré (ICC, 2020)

Multi-technology Management of Heterogeneous Wireless Networks. - Tom De Schepper; Jeroen Famaey; Steven Latré (NOMS, 2020)

A Machine Learning Approach for Road Cycling Race Performance Prediction. - Leonid Kholkine; Tom De Schepper; Tim Verdonck; Steven Latré (MLSA@PKDD/ECML, 2020)

Orchestration of heterogeneous wireless networks: State of the art and remaining challenges. - Patrick Bosch; Tom De Schepper; Ensar Zeljkovic; Jeroen Famaey; Steven Latré (Comput. Commun., 2020)

Traffic classification at the radio spectrum level using deep learning models trained with synthetic data. - Tom De Schepper; Miguel Camelo; Jeroen Famaey; Steven Latré (Int. J. Netw. Manag., 2020)

ORCHESTRA: Supercharging Wireless Backhaul Networks Through Multi-technology Management. - Tom De Schepper; Patrick Bosch; Jakob Struye; Carlos Donato; Jeroen Famaey; Steven Latré (J. Netw. Syst. Manag., 2020)

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (J. Netw. Syst. Manag., 2020)

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. - Mattias Billast; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Task Independent Capsule-Based Agents for Deep Q-Learning. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Disagreement Options: Task Adaptation Through Temporally Extended Actions. - Matthias Hutsebaut-Buysse; Tom De Schepper; Kevin Mets; Steven Latré (ECML/PKDD (1), 2021)

Low Cost Player Tracking in Field Hockey. - Henrique Duarte Moura; Leonid Kholkine; Laurens Van Damme; Kevin Mets; Christiaan Leysen; Tom De Schepper; Peter Hellinckx; Steven Latré (MLSA@PKDD/ECML, 2021)

On-device Deep Learning Location Category Inference Model. - Gadzhi Musaev; Kevin Mets; Rokas Tamosiunas; Vadim Uvarov; Tom De Schepper; Peter Hellinckx (BNAIC/BENELEARN, 2022)

Object Detection To Enable Autonomous Vessels On European Inland Waterways. - Mattias Billast; Robin Janssens; Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Ali Anwar 002; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré; Peter Hellinckx (IECON, 2022)

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. - Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Robin Janssens; Mattias Billast; Ali Anwar 002; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (IECON, 2022)

Deep Set Conditioned Latent Representations for Action Recognition. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 2022)

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. - Astrid Vanneste; Simon Vanneste; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 2022)

Structured Exploration Through Instruction Enhancement for Object Navigation. - Matthias Hutsebaut-Buysse; Kevin Mets; Tom De Schepper; Steven Latré (CoRR, 2022)

Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. - Simon Vanneste; Astrid Vanneste; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx; Kevin Mets (BNAIC/BENELEARN, 2023)

Towards graph-based forecasting with attention for real-world restaurant sales. - Henrique Duarte Moura; Leonid Kholkine; Lynn D'eer; Kevin Mets; Tom De Schepper (ICDM (Workshops), 2023)

Directed Real-World Learned Exploration. - Matthias Hutsebaut-Buysse; Ferran Gebelli Guinjoan; Erwin Rademakers; Steven Latré; Abdellatif Bey-Temsamani; Kevin Mets; Erik Mannens; Tom De Schepper (IROS, 2023)

Human Motion Prediction on the IKEA-ASM Dataset. - Mattias Billast; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 2023)

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. - Astrid Vanneste; Thomas Somers 002; Simon Vanneste; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (CoRR, 2023)

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. - Astrid Vanneste; Simon Vanneste; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Peter Hellinckx (CoRR, 2023)

Dataset condensation with latent quantile matching. - Wei Wei; Tom De Schepper; Kevin Mets (CVPR Workshops, 2024)

Increasing the Diversity in RGB-to-Thermal Image Translation for Automotive Applications. - Kaili Wang; Leonardo Ravaglia; Roberto Longo; Lore Goetschalckx; David Van Hamme; Julie Moeyersoms; Ben Stoffelen; Tom De Schepper (IEEE SENSORS, 2024)

Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. - Thomas Avé; Paola Soto; Miguel Camelo; Tom De Schepper; Kevin Mets (NOMS, 2024)

Physical Ergonomics Anticipation with Human Motion Prediction. - Mattias Billast; Jonas De Bruyne; Klaas Bombeke; Tom De Schepper; Kevin Mets (VISIGRAPP (4): VISAPP, 2024)

Unsupervised Domain Adaptation for Human Pose Action Recognition. - Mattias Billast; Tom De Schepper; Kevin Mets (VISIGRAPP (2): VISAPP, 2024)

Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. - Wei Wei; Tom De Schepper; Kevin Mets (VISIGRAPP (2): VISAPP, 2024)

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Markus Schedl (CoRR, 2024)

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. - Muhammad Saad Saeed; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Haris Khan; Karthik Nandakumar; Muhammad Haroon Yousaf; Hassan Sajjad 001; Tom De Schepper; Markus Schedl (CoRR, 2024)

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. - Steven Mortier; Amir Hamedpour; Bart Bussmann; Ruth Phoebe Tchana Wandji; Steven Latré; Bjarni D. Sigurdsson; Tom De Schepper; Tim Verdonck (Ecol. Informatics, 2024)

Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. - Thomas Avé; Tom De Schepper; Kevin Mets (Sensors, 2024)

Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Ignazio Gallo; Markus Schedl (Int. J. Multim. Inf. Retr., 2025)

GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem. - Louis Bagot; Lynn D'eer; Steven Latré; Tom De Schepper; Kevin Mets (Neural Comput. Appl., 2025)