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2020 – today
- 2024
[j8]Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck:
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. Ecol. Informatics 82: 102730 (2024)- [j7]Thomas Avé
, Tom De Schepper, Kevin Mets:
Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. Sensors 24(15): 4876 (2024) - [c29]Wei Wei, Tom De Schepper, Kevin Mets:
Dataset condensation with latent quantile matching. CVPR Workshops 2024: 7703-7712 - [c28]Thomas Avé, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets:
Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. NOMS 2024: 1-7 - [c27]Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets:
Physical Ergonomics Anticipation with Human Motion Prediction. VISIGRAPP (4): VISAPP 2024: 539-548 - [c26]Wei Wei, Tom De Schepper, Kevin Mets:
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. VISIGRAPP (2): VISAPP 2024: 639-651 - [c25]Mattias Billast, Tom De Schepper, Kevin Mets:
Unsupervised Domain Adaptation for Human Pose Action Recognition. VISIGRAPP (2): VISAPP 2024: 837-844 - [i11]Wei Wei, Tom De Schepper, Kevin Mets:
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. CoRR abs/2401.18054 (2024) - [i10]Wei Wei, Tom De Schepper, Kevin Mets:
Dataset Condensation with Latent Quantile Matching. CoRR abs/2406.09860 (2024) - [i9]Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl:
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR abs/2407.16243 (2024) - [i8]Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl:
Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR abs/2408.07445 (2024) - 2023
- [c24]Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets:
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN 2023: 82-100 - [c23]Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper:
Towards graph-based forecasting with attention for real-world restaurant sales. ICDM (Workshops) 2023: 560-569 - [c22]Matthias Hutsebaut-Buysse, Ferran Gebelli Guinjoan, Erwin Rademakers, Steven Latré, Abdellatif Bey-Temsamani, Kevin Mets, Erik Mannens, Tom De Schepper:
Directed Real-World Learned Exploration. IROS 2023: 5227-5234 - [c21]Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré:
Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) 2023: 906-914 - [i7]Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR abs/2308.04844 (2023) - [i6]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR abs/2308.04938 (2023) - [i5]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR abs/2311.09878 (2023) - [i4]Steven Mortier, Amir Hamedpour, Bart Bussmann, Ruth Phoebe Tchana Wandji, Steven Latré, Bjarni D. Sigurdsson, Tom De Schepper, Tim Verdonck:
Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. CoRR abs/2312.12258 (2023) - 2022
- [c20]Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx:
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN 2022: 96-111 - [c19]Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx:
Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON 2022: 1-6 - [c18]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON 2022: 1-6 - [c17]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep Set Conditioned Latent Representations for Action Recognition. VISIGRAPP (5: VISAPP) 2022: 456-466 - [i3]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR abs/2204.05669 (2022) - [i2]Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré:
Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR abs/2211.08467 (2022) - [i1]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep set conditioned latent representations for action recognition. CoRR abs/2212.11030 (2022) - 2021
- [c16]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN 2021: 69-85 - [c15]Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN 2021: 86-102 - [c14]Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré:
Low Cost Player Tracking in Field Hockey. MLSA@PKDD/ECML 2021: 103-115 - [c13]Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré:
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) 2021: 190-205 - 2020
- [j6]Patrick Bosch, Tom De Schepper, Ensar Zeljkovic, Jeroen Famaey, Steven Latré:
Orchestration of heterogeneous wireless networks: State of the art and remaining challenges. Comput. Commun. 149: 62-77 (2020) - [j5]Tom De Schepper, Miguel Camelo, Jeroen Famaey, Steven Latré:
Traffic classification at the radio spectrum level using deep learning models trained with synthetic data. Int. J. Netw. Manag. 30(4) (2020) - [j4]Tom De Schepper, Steven Latré, Jeroen Famaey:
Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks. J. Netw. Syst. Manag. 28(1): 133-159 (2020) - [j3]Tom De Schepper, Patrick Bosch, Jakob Struye, Carlos Donato, Jeroen Famaey, Steven Latré:
ORCHESTRA: Supercharging Wireless Backhaul Networks Through Multi-technology Management. J. Netw. Syst. Manag. 28(4): 1187-1227 (2020) - [c12]Miguel Camelo, Tom De Schepper, Paola Soto, Johann Márquez-Barja, Jeroen Famaey, Steven Latré:
Detection of traffic patterns in the radio spectrum for cognitive wireless network management. ICC 2020: 1-6 - [c11]Tom De Schepper, Jeroen Famaey, Steven Latré:
Multi-technology Management of Heterogeneous Wireless Networks. NOMS 2020: 1-6 - [c10]Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré:
A Machine Learning Approach for Road Cycling Race Performance Prediction. MLSA@PKDD/ECML 2020: 103-112
2010 – 2019
- 2019
- [b1]Tom De Schepper:
Multi-technology management of heterogeneous wireless networks. University of Antwerp, Belgium, 2019 - 2018
- [j2]Tom De Schepper, Steven Latré, Jeroen Famaey:
Flow Management and Load Balancing in Dynamic Heterogeneous LANs. IEEE Trans. Netw. Serv. Manag. 15(2): 693-706 (2018) - [j1]Tom De Schepper, Patrick Bosch, Ensar Zeljkovic, Farouk Mahfoudhi, Jetmir Haxhibeqiri, Jeroen Hoebeke, Jeroen Famaey, Steven Latré:
ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks. IEEE Trans. Netw. Serv. Manag. 15(4): 1733-1746 (2018) - [c9]Tom De Schepper, Steven Latré, Jeroen Famaey:
Load balancing and flow management under user mobility in heterogeneous wireless networks. CNSM 2018: 247-253 - [c8]Patrick Bosch, Tom De Schepper, Ensar Zeljkovic, Farouk Mahfoudhi, Yorick De Bock, Jeroen Famaey, Steven Latré:
A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks. WOWMOM 2018: 14-16 - 2017
- [c7]Tom De Schepper, Jakob Struye, Ensar Zeljkovic, Steven Latré, Jeroen Famaey:
Software-defined multipath-TCP for smart mobile devices. CNSM 2017: 1-6 - [c6]Ian Vermeulen, Patrick Bosch, Tom De Schepper, Steven Latré:
DiMob: Scalable and seamless mobility in SDN managed wireless networks. CNSM 2017: 1-6 - [c5]Ensar Zeljkovic, Tom De Schepper, Patrick Bosch, Ian Vermeulen, Jetmir Haxhibeqiri, Jeroen Hoebeke, Jeroen Famaey, Steven Latré:
ORCHESTRA: Virtualized and programmable orchestration of heterogeneous WLANs. CNSM 2017: 1-9 - [c4]Tom De Schepper, Steven Latré, Jeroen Famaey:
A transparent load balancing algorithm for heterogeneous Local Area Networks. IM 2017: 160-168 - [c3]Tom De Schepper, Patrick Bosch, Ensar Zeljkovic, Koen De Schepper, Chris Hawinkel, Steven Latré, Jeroen Famaey:
SDN-based transparent flow scheduling for heterogeneous wireless LANs. IM 2017: 901-902 - [c2]Tom De Schepper, Alexander Vanhulle, Steven Latré:
Dynamic BLE-based fingerprinting for location-aware smart homes. SCVT 2017: 1-6 - 2015
- [c1]Tom De Schepper, Bart Braem, Steven Latré:
A virtual reality-based multiplayer game using fine-grained localization. GIIS 2015: 1-6
Coauthor Index
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