Steven Latré

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 169

Top Venues

Publications

Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré
An encoding framework for binarized images using hyperdimensional computing. Frontiers Big Data 7 (2024)
David Góez, Esra Aycan Beyazit, Luis Alejandro Fletscher, Juan Felipe Botero, Natalia Gaviria, Steven Latré, Miguel Camelo
Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices. IEEE Open J. Commun. Soc. 5 (2024)
Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, Filip J. R. Meysman, Steven Latré, Erik Mannens, Tim Verdonck
Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring. Sensors 24 (8) (2024)
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 (2024)
Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Nina Slamnik-Krijestorac, Chia-Yu Chang, Natalia Gaviria, Erik Mannens, Juan Felipe Botero, Steven Latré
Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning. CoRR (2024)
Pedro Heleno Isolani, Jetmir Haxhibeqiri, Ingrid Moerman, Jeroen Hoebeke, Lisandro Z. Granville, Steven Latré, Johann M. Márquez-Barja
SD-RAN Interactive Management Using In-band Network Telemetry in IEEE 802.11 Networks. J. Netw. Syst. Manag. 31 (1) (2023)
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 (2023)
Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré
Training a HyperDimensional Computing Classifier using a Threshold on its Confidence. CoRR (2023)
Julian Jimenez, Paola Soto, Danny De Vleeschauwer, Chia-Yu Chang, Yorick De Bock, Steven Latré, Miguel Camelo
Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. CNSM (2023)
Paola Soto, Miguel Camelo, Danny De Vleeschauwer, Yorick De Bock, Chia-Yu Chang, Juan Felipe Botero, Steven Latré
Network Intelligence for NFV Scaling in Closed-Loop Architectures. IEEE Commun. Mag. 61 (6) (2023)
Steven Mortier, Renata Turkes, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck
Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography. Sensors 23 (23) (2023)
Lucas Deckers, Laurens Van Damme, Ing Jyh Tsang, Werner Van Leekwijck, Steven Latré
Co-learning synaptic delays, weights and adaptation in spiking neural networks. CoRR (2023)
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)
Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré
Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) (2023)
Arie-Willem de Leeuw, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. Data Min. Knowl. Discov. 37 (3) (2023)
Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
An ML-driven framework for edge orchestration in a vehicular NFV MANO environment. CCNC (2023)
Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré
An Encoding Framework for Binarized Images using HyperDimensional Computing. CoRR (2023)
Nina Slamnik-Krijestorac, Miguel Camelo, Chia-Yu Chang, Paola Soto, Luca Cominardi, Danny De Vleeschauwer, Steven Latré, Johann M. Márquez-Barja
AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era. IEEE Netw. 37 (4) (2023)
Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré
Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence. Neural Comput. 35 (12) (2023)
David Góez, Paola Soto, Steven Latré, Natalia Gaviria, Miguel Camelo
A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition. Algorithms 15 (12) (2022)
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)
Miguel Camelo, Luca Cominardi, Marco Gramaglia, Marco Fiore, Andres Garcia-Saavedra, Lidia Fuentes, Danny De Vleeschauwer, Paola Soto-Arenas, Nina Slamnik-Krijestorac, Joaquín Ballesteros, Chia-Yu Chang, Gabriele Baldoni, Johann M. Márquez-Barja, Peter Hellinckx, Steven Latré
Requirements and Specifications for the Orchestration of Network Intelligence in 6G. CCNC (2022)
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 (2022)
Toon Bogaerts, Sylvain Watelet, Niko De Bruyne, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx
Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. Sensors 22 (7) (2022)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. Mach. Learn. Knowl. Extr. 4 (1) (2022)
Toon Bogaerts, Sylvain Watelet, Chris Thoen, Tom Coopman, Joris Van den Bergh, Maarten Reyniers, Dirck Seynaeve, Wim Casteels, Steven Latré, Peter Hellinckx
Enhancement of road weather services using vehicle sensor data. CCNC (2022)
Reinout Eyckerman, Philippe Reiter, Steven Latré, Johann Márquez-Barja, Peter Hellinckx
Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation. NOMS (2022)
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré
Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR (2022)
Ensar Zeljkovic, Dimitris Gogos, Gerwin Dox, Steven Latré, Johann M. Márquez-Barja
ALPACA: A PCI Assignment Algorithm Taking Advantage of Weighted ANR. J. Netw. Syst. Manag. 30 (2) (2022)
Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems. CCNC (2022)
Nina Slamnik-Krijestorac, Paola Soto-Arenas, Miguel Camelo Botero, Luca Cominardi, Steven Latré, Johann M. Márquez-Barja
Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond. CCNC (2022)
Miguel Camelo, Paola Soto, Steven Latré
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
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)
Miguel Camelo, Marco Gramaglia, Paola Soto, Lidia Fuentes, Joaquín Ballesteros, Antonio Bazco Nogueras, Gines Garcia-Aviles, Steven Latré, Andres Garcia-Saavedra, Marco Fiore
DAEMON: A Network Intelligence Plane for 6G Networks. GLOBECOM (Workshops) (2022)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Deep set conditioned latent representations for action recognition. CoRR (2022)
Sara Ghane, Stef Jacobs, Wim Casteels, Christian Brembilla, Siegfried Mercelis, Steven Latré, Ivan Verhaert, Peter Hellinckx
Supply temperature control of a heating network with reinforcement learning. ISC2 (2021)
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC (2021)
Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21 (13) (2021)
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)
Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, Peter Hellinckx
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. CoRR (2021)
Reinout Eyckerman, Phillipe Reiter, Siegfried Mercelis, Steven Latré, Johann Márquez-Barja, Peter Hellinckx
A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. ICTC (2021)
Glenn Daneels, Dries Van Leemput, Carmen Delgado, Eli De Poorter, Steven Latré, Jeroen Famaey
Parent and PHY Selection in Slot Bonding IEEE 802.15.4e TSCH Networks. Sensors 21 (15) (2021)
Niels Balemans, Peter Hellinckx, Steven Latré, Philippe Reiter, Jan Steckel
S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks. IEEE SENSORS (2021)
Esteban Municio, Steven Latré, Johann M. Márquez-Barja
Extending Network Programmability to the Things Overlay Using Distributed Industrial IoT Protocols. IEEE Trans. Ind. Informatics 17 (1) (2021)
Nina Slamnik-Krijestorac, Steven Latré, Johann M. Márquez-Barja
An optimized application-context relocation approach for Connected and Automated Mobility (CAM). CoRR (2021)
Bart Bussmann, Jannes Nys, Steven Latré
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. DS (2021)
Arne Troch, Jens de Hoog, Simon Vanneste, Dieter Balemans, Steven Latré, Peter Hellinckx
Transfer Learning in Autonomous Driving Using Real-World Samples. 3PGCIC (2021)
Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) (2021)
Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx
FF-GAT: Feature Fusion Using Graph Attention Networks. IECON (2021)
Jorren Schepers, Reinout Eyckerman, Furkan Elmaz, Wim Casteels, Steven Latré, Peter Hellinckx
Autonomous Building Control Using Offline Reinforcement Learning. 3PGCIC (2021)
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)
Glenn Daneels, Carmen Delgado, Robbe Elsas, Eli De Poorter, Steven Latré, Chris Blondia, Jeroen Famaey
Slot Bonding for Adaptive Modulations in IEEE 802.15.4e TSCH Networks. IEEE Internet Things J. 8 (13) (2021)
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC (2021)
Pedro Heleno Isolani, Daniel J. Kulenkamp, Johann M. Márquez-Barja, Lisandro Zambenedetti Granville, Steven Latré, Violet R. Syrotiuk
Support for 5G Mission-Critical Applications in Software-Defined IEEE 802.11 Networks. Sensors 21 (3) (2021)
Jens de Hoog, Ahmed N. Ahmed, Ali Anwar, Steven Latré, Peter Hellinckx
Quality-Aware Compression of Point Clouds with Google Draco. 3PGCIC (2021)
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)
Paola Soto, Danny De Vleeschauwer, Miguel Camelo, Yorick De Bock, Koen De Schepper, Chia-Yu Chang, Peter Hellinckx, Juan Felipe Botero, Steven Latré
Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. SDS (2021)
Pedro Heleno Isolani, Daniel J. Kulenkamp, Johann M. Márquez-Barja, Lisandro Zambenedetti Granville, Steven Latré, Violet R. Syrotiuk
Delay-aware Slicing and MAC Management using MCDA in IEEE 802.11 SD-RANs. IM (2021)
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. CoRR (2021)
Renan Cipriano Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad, Amin Hekmatmanesh, Pedro E. Gória Silva, Arthur Sousa de Sena, Merim Dzaferagic, Harun Siljak, Werner Van Leekwijck, Dick Carrillo Melgarejo, Steven Latré
Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications. IEEE Commun. Surv. Tutorials 23 (3) (2021)
Kleidi Ismailaj, Miguel Camelo, Steven Latré
When Deep Learning May Not Be The Right Tool For Traffic Classification. IM (2021)
Ahmed N. Ahmed, Ali Anwar, Sven Eckelmann, Toralf Trautmann, Steven Latré, Peter Hellinckx
Lane Marking Detection Techniques for Autonomous Driving. 3PGCIC (2021)
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning. CoRR (2021)
Leonid Kholkine, Tom De Schepper, Tim Verdonck, Steven Latré
A Machine Learning Approach for Road Cycling Race Performance Prediction. MLSA@PKDD/ECML (2020)
Ruben Mennes, Jakob Struye, Carlos Donato, Steven Latré
A Dynamic Spectrum Footprint Adaptation Framework for Collaborative Spectrum Sharing. NOMS (2020)
Nelson Cardona, Estefanía Coronado, Steven Latré, Roberto Riggio, Johann M. Márquez-Barja
Software-Defined Vehicular Networking: Opportunities and Challenges. IEEE Access 8 (2020)
Jakob Struye, Kevin Mets, Steven Latré
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. CoRR (2020)
Glenn Daneels, Carmen Delgado, Steven Latré, Jeroen Famaey
Towards Slot Bonding for Adaptive MCS in IEEE 802.15.4e TSCH Networks. ICC (2020)
Miguel Camelo, Ruben Mennes, Adnan Shahid, Jakob Struye, Carlos Donato, Irfan Jabandzic, Spilios Giannoulis, Farouk Mahfoudhi, Prasanthi Maddala, Ivan Seskar, Ingrid Moerman, Steven Latré
An AI-Based Incumbent Protection System for Collaborative Intelligent Radio Networks. IEEE Wirel. Commun. 27 (5) (2020)
Nina Slamnik-Krijestorac, Michaël Peeters, Steven Latré, Johann M. Márquez-Barja
Analyzing the impact of VIM systems over the MEC management and orchestration in vehicular communications. ICCCN (2020)
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 (2020)
Miguel Camelo, Maxim Claeys, Steven Latré
Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments. IEEE Internet Things J. 7 (2) (2020)
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)
Paola Soto, Miguel Camelo, Jaron Fontaine, Merkebu Girmay, Adnan Shahid, Vasilis Maglogiannis, Eli De Poorter, Ingrid Moerman, Juan Felipe Botero, Steven Latré
Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence. CNSM (2020)
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) (2020)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. CoRR (2020)
Nina Slamnik-Krijestorac, Henrique Cesar Carvalho de Resende, Carlos Donato, Steven Latré, Roberto Riggio, Johann Márquez-Barja
Leveraging Mobile Edge Computing to Improve Vehicular Communications. CCNC (2020)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Language Grounded Task-Adaptation in Reinforcement Learning. ESANN (2020)
Bart Spinnewyn, Steven Latré, Juan Felipe Botero
Delay-constrained NFV orchestration for heterogeneous cloud networks. Comput. Networks 180 (2020)
Esteban Municio, Steven Latré, Johann M. Márquez-Barja
Whispering to Industrial IoT for converging multi-domain Network Programmability. INFOCOM Workshops (2020)
Jakob Struye, Steven Latré
Hierarchical temporal memory and recurrent neural networks for time series prediction: An empirical validation and reduction to multilayer perceptrons. Neurocomputing 396 (2020)
Bart Spinnewyn, Steven Latré, Juan Felipe Botero
Service Orchestration in NFV-Based Traditional and Emerging Cloud Environments: State of the Art and Research Challenges. IEEE Commun. Mag. 58 (8) (2020)
Pedro Heleno Isolani, Jetmir Haxhibeqiri, Ingrid Moerman, Jeroen Hoebeke, Johann M. Márquez-Barja, Lisandro Zambenedetti Granville, Steven Latré
An SDN-based Framework for Slice Orchestration using In-Band Network Telemetry in IEEE 802.11. NetSoft (2020)
Tom De Schepper, Steven Latré, Jeroen Famaey
Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks. J. Netw. Syst. Manag. 28 (1) (2020)
Bart Bussmann, Jannes Nys, Steven Latré
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data. CoRR (2020)
Ruben Mennes, Felipe A. P. de Figueiredo, Steven Latré
Multi-Agent Deep Learning for Multi-Channel Access in Slotted Wireless Networks. IEEE Access 8 (2020)
Renan Cipriano Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad, Amin Hekmatmanesh, Pedro E. Gória Silva, Arthur Sousa de Sena, Merim Dzaferagic, Harun Siljak, Werner Van Leekwijck, Dick Carrillo, Steven Latré
Neurosciences and 6G: Lessons from and Needs of Communicative Brains. CoRR (2020)
Ruben Mennes, Jakob Struye, Carlos Donato, Miguel Camelo, Irfan Jabandzic, Spilios Giannoulis, Ingrid Moerman, Steven Latré
Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Patrick Bosch, Steven Latré, Chris Blondia
An analytical model for IEEE 802.11 with non-IEEE 802.11 interfering source. Comput. Networks 172 (2020)
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)
Tom De Schepper, Jeroen Famaey, Steven Latré
Multi-technology Management of Heterogeneous Wireless Networks. NOMS (2020)
Pedro Heleno Isolani, Nelson Cardona, Carlos Donato, Guillermo A. Pérez, Johann M. Márquez-Barja, Lisandro Zambenedetti Granville, Steven Latré
Airtime-Based Resource Allocation Modeling for Network Slicing in IEEE 802.11 RANs. IEEE Commun. Lett. 24 (5) (2020)
Esteban Municio, Niels Balemans, Steven Latré, Johann Márquez-Barja
Leveraging Distributed Protocols for full End-to-End Softwarization in IoT Networks. CCNC (2020)
Le Tian, Michael T. Mehari, Serena Santi, Steven Latré, Eli De Poorter, Jeroen Famaey
Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah. Pervasive Mob. Comput. 57 (2019)
Jakob Struye, Kevin Mets, Steven Latré
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. BNAIC/BENELEARN (2019)
Dimitri Papadimitriou, Steven Latré
Scientific Machine Learning: Towards Predictive Closed-Form Models. BNAIC/BENELEARN (2019)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. CoRR (2019)
Esteban Municio, Glenn Daneels, Mathias De Brouwer, Femke Ongenae, Filip De Turck, Bart Braem, Jeroen Famaey, Steven Latré
Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies. IEEE Internet Things J. 6 (6) (2019)
Le Tian, Elena López-Aguilera, Eduard Garcia Villegas, Michael Tetemke Mehari, Eli De Poorter, Steven Latré, Jeroen Famaey
Optimization-Oriented RAW Modeling of IEEE 802.11ah Heterogeneous Networks. IEEE Internet Things J. 6 (6) (2019)
Glenn Daneels, Steven Latré, Jeroen Famaey
Efficient Recurrent Low-Latency Scheduling in IEEE 802.15.4e TSCH Networks. BlackSeaCom (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Steven Latré