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Steven Latré
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2020 – today
- 2023
- [j78]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): 11 (2023) - [c131]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: 728-733 - [c130]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 - 2022
- [j77]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): 441 (2022) - [j76]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): 33 (2022) - [j75]Matthias Hutsebaut-Buysse
, Kevin Mets
, Steven Latré:
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. Mach. Learn. Knowl. Extr. 4(1): 172-221 (2022) - [j74]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): 2732 (2022) - [j73]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): 5044-5063 (2022) - [c129]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: 1-6 - [c128]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: 1-9 - [c127]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: 437-440 - [c126]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: 943-944 - [c125]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: 1341-1346 - [c124]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 - [c123]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: 1-6 - [c122]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 - [i12]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) - [i11]Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré:
Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR abs/2211.08467 (2022) - [i10]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
- [j72]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): 1599-1621 (2021) - [j71]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): 10714-10730 (2021) - [j70]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): 693 (2021) - [j69]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): 4321 (2021) - [j68]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): 5150 (2021) - [j67]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): 251-259 (2021) - [c121]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: 197-206 - [c120]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: 207-216 - [c119]Ahmed N. Ahmed, Ali Anwar, Sven Eckelmann, Toralf Trautmann, Steven Latré, Peter Hellinckx:
Lane Marking Detection Techniques for Autonomous Driving. 3PGCIC 2021: 217-226 - [c118]Jens de Hoog
, Ahmed N. Ahmed, Ali Anwar, Steven Latré, Peter Hellinckx:
Quality-Aware Compression of Point Clouds with Google Draco. 3PGCIC 2021: 227-236 - [c117]Arne Troch
, Jens de Hoog
, Simon Vanneste
, Dieter Balemans, Steven Latré, Peter Hellinckx:
Transfer Learning in Autonomous Driving Using Real-World Samples. 3PGCIC 2021: 237-245 - [c116]Jorren Schepers, Reinout Eyckerman, Furkan Elmaz
, Wim Casteels, Steven Latré, Peter Hellinckx:
Autonomous Building Control Using Offline Reinforcement Learning. 3PGCIC 2021: 246-255 - [c115]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 - [c114]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 - [c113]Bart Bussmann, Jannes Nys, Steven Latré:
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. DS 2021: 446-460 - [c112]Reinout Eyckerman
, Philippe 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: 779-784 - [c111]Ahmed N. Ahmed, Ali Anwar, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
FF-GAT: Feature Fusion Using Graph Attention Networks. IECON 2021: 1-6 - [c110]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: 1-4 - [c109]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: 331-339 - [c108]Kleidi Ismailaj, Miguel Camelo, Steven Latré:
When Deep Learning May Not Be The Right Tool For Traffic Classification. IM 2021: 884-889 - [c107]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: 1-7 - [c106]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 - [c105]Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets
, Steven Latré:
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) 2021: 190-205 - [c104]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: 1-8 - [i9]Nina Slamnik-Krijestorac, Steven Latré, Johann M. Márquez-Barja:
An optimized application-context relocation approach for Connected and Automated Mobility (CAM). CoRR abs/2109.11362 (2021) - [i8]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 abs/2110.06742 (2021) - [i7]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 abs/2110.15762 (2021) - [i6]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 abs/2110.15779 (2021) - 2020
- [j66]Ruben Mennes
, Felipe A. P. de Figueiredo
, Steven Latré:
Multi-Agent Deep Learning for Multi-Channel Access in Slotted Wireless Networks. IEEE Access 8: 95032-95045 (2020) - [j65]Nelson Cardona
, Estefanía Coronado
, Steven Latré, Roberto Riggio
, Johann M. Márquez-Barja
:
Software-Defined Vehicular Networking: Opportunities and Challenges. IEEE Access 8: 219971-219995 (2020) - [j64]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): 76-81 (2020) - [j63]Patrick Bosch, Steven Latré, Chris Blondia:
An analytical model for IEEE 802.11 with non-IEEE 802.11 interfering source. Comput. Networks 172: 107154 (2020) - [j62]Bart Spinnewyn, Steven Latré, Juan Felipe Botero:
Delay-constrained NFV orchestration for heterogeneous cloud networks. Comput. Networks 180: 107420 (2020) - [j61]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) - [j60]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): 1077-1080 (2020) - [j59]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) - [j58]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: 291-301 (2020) - [j57]Miguel Camelo
, Maxim Claeys, Steven Latré:
Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments. IEEE Internet Things J. 7(2): 1387-1400 (2020) - [j56]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) - [j55]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) - [j54]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): 2024-2038 (2020) - [j53]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): 16-23 (2020) - [c103]Esteban Municio, Niels Balemans, Steven Latré, Johann Márquez-Barja
:
Leveraging Distributed Protocols for full End-to-End Softwarization in IoT Networks. CCNC 2020: 1-6 - [c102]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: 1-4 - [c101]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: 1-9 - [c100]Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Language Grounded Task-Adaptation in Reinforcement Learning. ESANN 2020: 315-320 - [c99]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 - [c98]Glenn Daneels, Carmen Delgado
, Steven Latré, Jeroen Famaey
:
Towards Slot Bonding for Adaptive MCS in IEEE 802.15.4e TSCH Networks. ICC 2020: 1-7 - [c97]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: 1-6 - [c96]Esteban Municio, Steven Latré, Johann M. Márquez-Barja
:
Whispering to Industrial IoT for converging multi-domain Network Programmability. INFOCOM Workshops 2020: 1336-1337 - [c95]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: 344-346 - [c94]Ruben Mennes, Jakob Struye, Carlos Donato, Steven Latré:
A Dynamic Spectrum Footprint Adaptation Framework for Collaborative Spectrum Sharing. NOMS 2020: 1-4 - [c93]Tom De Schepper
, Jeroen Famaey
, Steven Latré:
Multi-technology Management of Heterogeneous Wireless Networks. NOMS 2020: 1-6 - [c92]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 - [p2]Dimitri Papadimitriou, Steven Latré, Artur Tomaszewski:
Reliability Models for Multi-Objective Design Problems. Guide to Disaster-Resilient Communication Networks 2020: 743-767 - [i5]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 abs/2004.01834 (2020) - [i4]Matthias Hutsebaut-Buysse, Kevin Mets
, Steven Latré:
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. CoRR abs/2007.05196 (2020) - [i3]Jakob Struye, Kevin Mets
, Steven Latré:
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. CoRR abs/2009.08880 (2020) - [i2]Bart Bussmann, Jannes Nys, Steven Latré:
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data. CoRR abs/2010.09429 (2020)
2010 – 2019
- 2019
- [j52]Ruben Mennes
, Maxim Claeys, Felipe A. P. de Figueiredo
, Irfan Jabandzic, Ingrid Moerman
, Steven Latré:
Deep Learning-Based Spectrum Prediction Collision Avoidance for Hybrid Wireless Environments. IEEE Access 7: 45818-45830 (2019) - [j51]Pedro Heleno Isolani
, Maxim Claeys, Carlos Donato, Lisandro Zambenedetti Granville
, Steven Latré:
A Survey on the Programmability of Wireless MAC Protocols. IEEE Commun. Surv. Tutorials 21(2): 1064-1092 (2019) - [j50]Esteban Municio
, Glenn Daneels, Malisa Vucinic
, Steven Latré, Jeroen Famaey
, Yasuyuki Tanaka, Keoma Brun-Laguna, Kazushi Muraoka, Xavier Vilajosana, Thomas Watteyne
:
Simulating 6TiSCH networks. Trans. Emerg. Telecommun. Technol. 30(3) (2019) - [j49]Abdelhak Kharbouch
, Youssef NaitMalek
, Hamza Elkhoukhi, Mohamed Bakhouya
, Vincenzo De Florio, Moulay Driss El Ouadghiri, Steven Latré, Chris Blondia:
IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data. Int. J. Distributed Syst. Technol. 10(4): 17-30 (2019) - [j48]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): 10597-10609 (2019) - [j47]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): 10875-10887 (2019) - [j46]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: 33-48 (2019) - [j45]Ensar Zeljkovic
, Nina Slamnik-Krijestorac
, Steven Latré, Johann M. Márquez-Barja
:
ABRAHAM: Machine Learning Backed Proactive Handover Algorithm Using SDN. IEEE Trans. Netw. Serv. Manag. 16(4): 1522-1536 (2019) - [c91]Glenn Daneels, Steven Latré, Jeroen Famaey
:
Efficient Recurrent Low-Latency Scheduling in IEEE 802.15.4e TSCH Networks. BlackSeaCom 2019: 1-6 - [c90]Dimitri Papadimitriou, Steven Latré:
Scientific Machine Learning: Towards Predictive Closed-Form Models. BNAIC/BENELEARN 2019 - [c89]Jakob Struye, Kevin Mets, Steven Latré:
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. BNAIC/BENELEARN 2019 - [c88]Miguel Camelo
, Adnan Shahid, Jaron Fontaine, Felipe Augusto Pereira de Figueiredo
, Eli De Poorter, Ingrid Moerman
, Steven Latré:
A semi-supervised learning approach towards automatic wireless technology recognition. DySPAN 2019: 1-10 - [c87]Spilios Giannoulis
, Michael T. Mehari, Adnan Shahid, Dragoslav Stojadinovic, Maxim Claeys, Farouk Mahfoudhi, Wei Liu, Ivan Seskar, Steven Latré, Ingrid Moerman
, Carlos Donato, Ruben Mennes, Felipe A. P. de Figueiredo
, Irfan Jabandzic, Yorick De Bock
, Miguel Camelo
, Jakob Struye, Prasanthi Maddala:
Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach. DySPAN 2019: 1-6 - [c86]Bart Spinnewyn, Juan Felipe Botero, Carlos Donato, Steven Latré:
Effective NFV Orchestration for Wide-Ranging Services Across Heterogeneous Cloud Networks. IM 2019: 107-115 - [c85]Pedro Heleno Isolani, Nelson Cardona, Carlos Donato, Johann Márquez-Barja
, Lisandro Zambenedetti Granville, Steven Latré:
SDN-based Slice Orchestration and MAC Management for QoS delivery in IEEE 802.11 Networks. SDS 2019: 260-265 - [c84]Patrick Bosch, Steven Latré, Chris Blondia:
IEEE 802.11 Latency Modeling with Non-IEEE 802.11 Interfering Source. WWIC 2019: 40-50 - [i1]Matthias Hutsebaut-Buysse, Kevin Mets
, Steven Latré:
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. CoRR abs/1910.04040 (2019) - 2018
- [j44]Glenn Daneels, Bart Spinnewyn, Steven Latré, Jeroen Famaey
:
ReSF: Recurrent Low-Latency Scheduling in IEEE 802.15.4e TSCH networks. Ad Hoc Networks 69: 100-114 (2018) - [j43]José Santos
, Thomas Vanhove, Merlijn Sebrechts
, Thomas Dupont
, Wannes Kerckhove, Bart Braem, Gregory van Seghbroeck, Tim Wauters, Philip Leroux, Steven Latré, Bruno Volckaert
, Filip De Turck
:
City of Things: Enabling Resource Provisioning in Smart Cities. IEEE Commun. Mag. 56(7): 177-183 (2018) - [j42]Esteban Municio
, Kathleen Spaey, Steven Latré:
A distributed density optimized scheduling function for IEEE 802.15.4e TSCH networks. Trans. Emerg. Telecommun. Technol. 29(7) (2018) - [j41]Maxim Claeys
, Niels Bouten, Danny De Vleeschauwer, Koen De Schepper
, Werner Van Leekwijck, Steven Latré, Filip De Turck:
Deadline-aware TCP congestion control for HTTP adaptive streaming services. Int. J. Netw. Manag. 28(4) (2018) - [j40]Jeroen van der Hooft
, Niels Bouten, Danny De Vleeschauwer, Werner Van Leekwijck, Tim Wauters, Steven Latré, Filip De Turck
:
Clustering-based quality selection heuristics for HTTP adaptive streaming over cache networks. Int. J. Netw. Manag. 28(6) (2018) - [j39]Steven Bohez, Glenn Daneels, Lander Van Herzeele, Niels Van Kets, Sam Decrock, Matthias De Geyter, Glenn Van Wallendael
, Peter Lambert, Bart Dhoedt, Pieter Simoens
, Steven Latré, Jeroen Famaey
:
The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. Multim. Tools Appl. 77(1): 597-629 (2018) - [j38]Glenn Daneels
, Esteban Municio, Bruno Van de Velde, Glenn Ergeerts
, Maarten Weyn
, Steven Latré, Jeroen Famaey
:
Accurate Energy Consumption Modeling of IEEE 802.15.4e TSCH Using Dual-Band OpenMote Hardware. Sensors 18(2): 437 (2018) - [j37]Esteban Municio
, Johann Márquez-Barja
, Steven Latré, Stefano Vissicchio:
Whisper: Programmable and Flexible Control on Industrial IoT Networks. Sensors 18(11): 4048 (2018) - [j36]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) - [j35]Bart Spinnewyn
, Pedro Heleno Isolani
, Carlos Donato, Juan Felipe Botero
, Steven Latré:
Coordinated Service Composition and Embedding of 5G Location-Constrained Network Functions. IEEE Trans. Netw. Serv. Manag. 15(4): 1488-1502 (2018) - [j34]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) - [c83]Olivier Jeunen, Patrick Bosch, Michiel Van Herwegen, Karel Van Doorselaer, Nick Godman, Steven Latré:
A Machine Learning Approach for IEEE 802.11 Channel Allocation. CNSM 2018: 28-36 - [c82]