Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSteven Latré
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]