Tom De Schepper

According to our database, Tom De Schepper authored at least 43 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices.

Thomas Avé, Tom De Schepper, Kevin Mets

Sensors, August, 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

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, Tom De Schepper, Markus Schedl

CoRR, 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, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl

CoRR, 2024

Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition.

Wei Wei, Tom De Schepper, Kevin Mets

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Unsupervised Domain Adaptation for Human Pose Action Recognition.

Mattias Billast, Tom De Schepper, Kevin Mets

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Physical Ergonomics Anticipation with Human Motion Prediction.

Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures.

Thomas Avé, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Dataset condensation with latent quantile matching.

Wei Wei, Tom De Schepper, Kevin Mets

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning.

Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

CoRR, 2023

Human Motion Prediction on the IKEA-ASM Dataset.

Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré

Proceedings of the 18th International Joint Conference on Computer Vision, 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

Towards graph-based forecasting with attention for real-world restaurant sales.

Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Structured Exploration Through Instruction Enhancement for Object Navigation.

Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré

CoRR, 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

Deep Set Conditioned Latent Representations for Action Recognition.

Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré

Proceedings of the 17th International Joint Conference on Computer Vision, 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, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

Proceedings of the IECON 2022, 2022

Object Detection To Enable Autonomous Vessels On European Inland Waterways.

Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx

Proceedings of the IECON 2022, 2022

On-device Deep Learning Location Category Inference Model.

Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx

Proceedings of the Artificial Intelligence and Machine Learning, 2022

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

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Disagreement Options: Task Adaptation Through Temporally Extended Actions.

Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Task Independent Capsule-Based Agents for Deep Q-Learning.

Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré

Proceedings of the Artificial Intelligence and Machine Learning, 2021

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

Proceedings of the Artificial Intelligence and Machine Learning, 2021

2020

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks.

Tom De Schepper, Steven Latré, Jeroen Famaey

J. Netw. Syst. 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

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

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

A Machine Learning Approach for Road Cycling Race Performance Prediction.

Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

Multi-technology Management of Heterogeneous Wireless Networks.

Tom De Schepper, Jeroen Famaey, Steven Latré

Proceedings of the NOMS 2020, 2020

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

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

Multi-technology management of heterogeneous wireless networks

Tom De Schepper

PhD thesis, 2019

2018

Flow Management and Load Balancing in Dynamic Heterogeneous LANs.

Tom De Schepper, Steven Latré, Jeroen Famaey

IEEE Trans. Netw. Serv. Manag., 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

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

Proceedings of the 19th IEEE International Symposium on "A World of Wireless, 2018

Load balancing and flow management under user mobility in heterogeneous wireless networks.

Tom De Schepper, Steven Latré, Jeroen Famaey

Proceedings of the 14th International Conference on Network and Service Management, 2018

2017

Dynamic BLE-based fingerprinting for location-aware smart homes.

Tom De Schepper, Alexander Vanhulle, Steven Latré

Proceedings of the 24. IEEE Symposium on Communications and Vehicular Technology, 2017

A transparent load balancing algorithm for heterogeneous Local Area Networks.

Tom De Schepper, Steven Latré, Jeroen Famaey

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 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

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 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

Proceedings of the 13th International Conference on Network and Service Management, 2017

DiMob: Scalable and seamless mobility in SDN managed wireless networks.

Ian Vermeulen, Patrick Bosch, Tom De Schepper, Steven Latré

Proceedings of the 13th International Conference on Network and Service Management, 2017

Software-defined multipath-TCP for smart mobile devices.

Tom De Schepper, Jakob Struye, Ensar Zeljkovic, Steven Latré, Jeroen Famaey

Proceedings of the 13th International Conference on Network and Service Management, 2017

2015

A virtual reality-based multiplayer game using fine-grained localization.

Tom De Schepper, Bart Braem, Steven Latré

Proceedings of the 2015 Global Information Infrastructure and Networking Symposium, 2015