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2020 – today
- 2024
- [j87]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) - [j86]Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
An encoding framework for binarized images using hyperdimensional computing. Frontiers Big Data 7 (2024) - [j85]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: 3066-3088 (2024) - [j84]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): 2416 (2024) - [i18]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 abs/2405.04441 (2024) - [i17]Lucas Deckers, Benjamin Vandersmissen, Ing Jyh Tsang, Werner Van Leekwijck, Steven Latré:
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization. CoRR abs/2409.15849 (2024) - 2023
- [j83]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): 66-72 (2023) - [j82]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): 1125-1153 (2023) - [j81]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) - [j80]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): 2006-2023 (2023) - [j79]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): 305-313 (2023) - [j78]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): 9588 (2023) - [c133]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 - [c132]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: 1-5 - [c131]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 - [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 - [i16]Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
Training a HyperDimensional Computing Classifier using a Threshold on its Confidence. CoRR abs/2305.19007 (2023) - [i15]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 abs/2311.16112 (2023) - [i14]Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
An Encoding Framework for Binarized Images using HyperDimensional Computing. CoRR abs/2312.00454 (2023) - [i13]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
- [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]Tom De Schepper, Steven Latré, Jeroen Famaey:
Load balancing and flow management under user mobility in heterogeneous wireless networks. CNSM 2018: 247-253 - [c81]Ensar Zeljkovic, Johann M. Márquez-Barja, Andreas Kassler, Roberto Riggio, Steven Latré:
Proactive Access Point Driven Handovers in IEEE 802.11 Networks. CNSM 2018: 261-267 - [c80]Patrick Bosch, Steven Latré, Chris Blondia:
Latency Modelling in IEEE 802.11 Systems with non-IEEE 802.11 Interfering Source. CNSM 2018: 275-280 - [c79]Phui San Cheong, Miguel Camelo, Steven Latré:
Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals. CrownCom 2018: 177-188 - [c78]Jakob Struye, Bart Braem, Steven Latré, Johann Márquez-Barja:
The CityLab testbed - Large-scale multi-technology wireless experimentation in a city environment: Neural network-based interference prediction in a smart city. INFOCOM Workshops 2018: 529-534 - [c77]Ensar Zeljkovic, Johann M. Márquez-Barja, Steven Latré:
A large-scale demonstration of SDN-based handover management in IEEE 802.11 networks. SIGCOMM Posters and Demos 2018: 102-104 - [c76]Ruben Mennes, Miguel Camelo, Maxim Claeys, Steven Latré:
A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks. WCNC 2018: 1-6 - [c75]Thomas Hendriks, Miguel Camelo, Steven Latré:
Q2-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks. WiMob 2018: 108-115 - [c74]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 - [c73]Le Tian, Michael T. Mehari, Serena Santi, Steven Latré, Eli De Poorter, Jeroen Famaey:
IEEE 802.11ah Restricted Access Window Surrogate Model for Real-Time Station Grouping. WOWMOM 2018: 14-22 - [c72]Anastasia Dimou, Gerald Haesendonck, Martin Vanbrabant, Laurens De Vocht, Ruben Verborgh, Steven Latré, Erik Mannens:
ILastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data. SAVE-SD@WWW 2018: 15-32 - [c71]Mathias De Brouwer, Femke Ongenae, Glenn Daneels, Esteban Municio, Jeroen Famaey, Steven Latré, Filip De Turck:
Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices: Proof-of-Concept & Performance Evaluation. WWW (Companion Volume) 2018: 1833-1840 - [p1]Wojciech Burakowski, Andrzej Beben, Hans van den Berg, Joost W. Bosman, Gerhard Hasslinger, Attila Kertész, Steven Latré, Rob van der Mei, Tamas Pflanzner, Patrick Gwydion Poullie, Maciej Sosnowski, Bart Spinnewyn, Burkhard Stiller:
Traffic Management for Cloud Federation. Autonomous Control for a Reliable Internet of Services 2018: 269-312 - 2017
- [j33]Maryam Barshan, Hendrik Moens, Steven Latré, Bruno Volckaert, Filip De Turck:
Algorithms for network-aware application component placement for cloud resource allocation. J. Commun. Networks 19(5): 493-508 (2017) - [j32]Bart Spinnewyn, Ruben Mennes, Juan Felipe Botero, Steven Latré:
Resilient application placement for geo-distributed cloud networks. J. Netw. Comput. Appl. 85: 14-31 (2017) - [j31]Le Tian, Evgeny M. Khorov, Steven Latré, Jeroen Famaey:
Real-Time Station Grouping under Dynamic Traffic for IEEE 802.11ah. Sensors 17(7): 1559 (2017) - [j30]Niels Bouten, Rashid Mijumbi, Joan Serrat, Jeroen Famaey, Steven Latré, Filip De Turck:
Semantically Enhanced Mapping Algorithm for Affinity-Constrained Service Function Chain Requests. IEEE Trans. Netw. Serv. Manag. 14(2): 317-331 (2017) - [j29]Eli De Poorter, Jeroen Hoebeke, Matthias Strobbe, Ingrid Moerman, Steven Latré, Maarten Weyn, Bart Lannoo, Jeroen Famaey:
Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges. Wirel. Pers. Commun. 95(1): 187-213 (2017) - [c70]Andrés F. Ocampo, Juliver Gil-Herrera, Pedro Heleno Isolani, Miguel C. Neves, Juan Felipe Botero, Steven Latré, Lisandro Zambenedetti Granville, Marinho P. Barcellos, Luciano Paschoal Gaspary:
Optimal Service Function Chain Composition in Network Functions Virtualization. AIMS 2017: 62-76 - [c69]Tom De Schepper, Jakob Struye, Ensar Zeljkovic, Steven Latré, Jeroen Famaey:
Software-defined multipath-TCP for smart mobile devices. CNSM 2017: 1-6 - [c68]Bart Spinnewyn, Juan Felipe Botero, Steven Latré:
Cost-effective replica management in fault-tolerant cloud environments. CNSM 2017: 1-9 - [c67]Jakob Struye, Bart Spinnewyn, Kathleen Spaey, Kristiaan Bonjean, Steven Latré:
Assessing the value of containers for NFVs: A detailed network performance study. CNSM 2017: 1-7 - [c66]Ian Vermeulen, Patrick Bosch, Tom De Schepper, Steven Latré:
DiMob: Scalable and seamless mobility in SDN managed wireless networks. CNSM 2017: 1-6 - [c65]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 - [c64]Y. Nait Malek, Abdelhak Kharbouch, H. El Khoukhi, Mohamed Bakhouya, Vincenzo De Florio, Driss El Ouadghiri, Steven Latré, Chris Blondia:
On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing. EUSPN/ICTH 2017: 429-434 - [c63]Glenn Daneels, Esteban Municio, Kathleen Spaey, Gilles Vandewiele, Alexander Dejonghe, Femke Ongenae, Steven Latré, Jeroen Famaey:
Real-Time data dissemination and analytics platform for challenging IoT environments. GIIS 2017: 23-30 - [c62]Tom De Schepper, Steven Latré, Jeroen Famaey:
A transparent load balancing algorithm for heterogeneous Local Area Networks. IM 2017: 160-168 - [c61]Patrick Bosch, Jeroen Wyffels, Bart Braem, Steven Latré:
How is your event Wi-Fi doing? Performance measurements of large-scale and dense IEEE 802.11n/ac networks. IM 2017: 701-707 - [c60]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 - [c59]Tom De Schepper, Alexander Vanhulle, Steven Latré:
Dynamic BLE-based fingerprinting for location-aware smart homes. SCVT 2017: 1-6 - [c58]Le Tian, Serena Santi, Steven Latré, Jeroen Famaey:
Accurate Sensor Traffic Estimation for Station Grouping in Highly Dense IEEE 802.11ah Networks. FAILSAFE@SenSys 2017: 1-9 - [c57]Ensar Zeljkovic, Roberto Riggio, Steven Latré:
Exploiting distance information for transparent access point driven Wi-Fi handovers. WoWMoM 2017: 1-6 - 2016
- [j28]Rashid Mijumbi, Joan Serrat, Juan-Luis Gorricho, Steven Latré, Marinos Charalambides, Diego R. López:
Management and orchestration challenges in network functions virtualization. IEEE Commun. Mag. 54(1): 98-105 (2016) - [j27]Maxim Claeys, Daphné Tuncer, Jeroen Famaey, Marinos Charalambides, Steven Latré, George Pavlou, Filip De Turck:
Hybrid multi-tenant cache management for virtualized ISP networks. J. Netw. Comput. Appl. 68: 28-41 (2016) - [j26]Maxim Claeys, Niels Bouten, Danny De Vleeschauwer, Werner Van Leekwijck, Steven Latré, Filip De Turck:
Cooperative Announcement-Based Caching for Video-on-Demand Streaming. IEEE Trans. Netw. Serv. Manag. 13(2): 308-321 (2016) - [j25]Stefano Petrangeli, Jeroen Famaey, Maxim Claeys, Steven Latré, Filip De Turck:
QoE-Driven Rate Adaptation Heuristic for Fair Adaptive Video Streaming. ACM Trans. Multim. Comput. Commun. Appl. 12(2): 28:1-28:24 (2016) - [c56]Ruben Mennes, Bart Spinnewyn, Steven Latré, Juan Felipe Botero:
GRECO: A Distributed Genetic Algorithm for Reliable Application Placement in Hybrid Clouds. CloudNet 2016: 14-20 - [c55]Niels Bouten, Maxim Claeys, Bert Van Poecke, Steven Latré, Filip De Turck:
Dynamic server selection strategy for multi-server HTTP adaptive streaming services. CNSM 2016: 82-90 - [c54]Maxim Claeys, Niels Bouten, Danny De Vleeschauwer, Koen De Schepper, Werner Van Leekwijck, Steven Latré, Filip De Turck:
Deadline-aware TCP congestion control for video streaming services. CNSM 2016: 100-108 - [c53]Tamas Pflanzner, Attila Kertész, Bart Spinnewyn, Steven Latré:
MobIoTSim: Towards a Mobile IoT Device Simulator. FiCloud Workshops 2016: 21-27 - [c52]Bart Braem, Steven Latré, Philip Leroux, Piet Demeester, Tanguy Coenen, Pieter Ballon:
Designing a smart city playground: Real-time air quality measurements and visualization in the City of Things testbed. ISC2 2016: 1-2 - [c51]Steven Latré, Philip Leroux, Tanguy Coenen, Bart Braem, Pieter Ballon, Piet Demeester:
City of things: An integrated and multi-technology testbed for IoT smart city experiments. ISC2 2016: 1-8 - [c50]Esteban Municio, Steven Latré:
Decentralized broadcast-based scheduling for dense multi-hop TSCH networks. MobiArch 2016: 19-24 - [c49]Niels Bouten, Maxim Claeys, Rashid Mijumbi, Jeroen Famaey, Steven Latré, Joan Serrat:
Semantic validation of affinity constrained service function chain requests. NetSoft 2016: 202-210 - [c48]Roberto Riggio, Imen Grida Ben Yahia, Steven Latré, Tinku Rasheed:
Scylla: A language for virtual network functions orchestration in enterprise WLANs. NOMS 2016: 401-409 - [c47]Miguel Camelo, Jeroen Famaey, Steven Latré:
A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments. MLHPC@SC 2016: 27-35 - [c46]Le Tian, Sébastien Deronne, Steven Latré, Jeroen Famaey:
Implementation and Validation of an IEEE 802.11ah Module for ns-3. WNS3 2016: 49-56 - [c45]Le Tian, Jeroen Famaey, Steven Latré:
Evaluation of the IEEE 802.11ah Restricted Access Window mechanism for dense IoT networks. WoWMoM 2016: 1-9 - 2015
- [j24]Niels Bouten, Ricardo de Oliveira Schmidt, Jeroen Famaey, Steven Latré, Aiko Pras, Filip De Turck:
QoE-driven in-network optimization for Adaptive Video Streaming based on packet sampling measurements. Comput. Networks 81: 96-115 (2015) - [j23]Marinos Charalambides, Thomas Zinner, Hiroshi Saito, Prasad Calyam, Steven Latré:
Advances in management of multimedia services. Int. J. Netw. Manag. 25(4): 203-204 (2015) - [j22]Anna Sperotto, Guillaume Doyen, Steven Latré, Marinos Charalambides, Jeroen Famaey, Petr Velan, Pavel Celeda:
Report on the 8th International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2014) - Monitoring and Securing Virtualized Networks and Services. J. Netw. Syst. Manag. 23(3): 794-802 (2015) - [c44]Patrick Bosch, Bart Braem, Steven Latré:
A Network-Driven Multi-Access-Point Load-Balancing Algorithm for Large-Scale Public Hotspots. AIMS 2015: 30-42 - [c43]Bart Spinnewyn, Steven Latré:
Towards a Fluid Cloud: An Extension of the Cloud into the Local Network. AIMS 2015: 61-65 - [c42]Bart Spinnewyn, Bart Braem, Steven Latré:
Fault-tolerant application placement in heterogeneous cloud environments. CNSM 2015: 192-200 - [c41]Maxim Claeys, Niels Bouten, Danny De Vleeschauwer, Werner Van Leekwijck, Steven Latré, Filip De Turck:
An announcement-based caching approach for video-on-demand streaming. CNSM 2015: 310-317 - [c40]Niels Soetens, Jeroen Famaey, Matthias Verstappen, Steven Latré:
SDN-based management of heterogeneous home networks. CNSM 2015: 402-405 - [c39]Tom De Schepper, Bart Braem, Steven Latré:
A virtual reality-based multiplayer game using fine-grained localization. GIIS 2015: 1-6 - [c38]Glenn Daneels, Jeroen Famaey, Steven Bohez, Pieter Simoens, Steven Latré:
Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. GLOBECOM Workshops 2015: 1-7 - [c37]Bart Braem, Jeroen Avonts, Chris Blondia, Steven Latré:
Testing a community network testbed control system. IM 2015: 107-112 - [c36]Niels Bouten, Jeroen Famaey, Rashid Mijumbi, Bram Naudts, Joan Serrat, Steven Latré, Filip De Turck:
Towards NFV-based multimedia delivery. IM 2015: 738-741 - [c35]Bart Braem, Chris Blondia, Steven Latré:
Experiences from building an outdoor testbed for community wireless networks. IM 2015: 898-901 - [e2]Steven Latré, Marinos Charalambides, Jérôme François, Corinna Schmitt, Burkhard Stiller:
Intelligent Mechanisms for Network Configuration and Security - 9th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2015, Ghent, Belgium, June 22-25, 2015. Proceedings. Lecture Notes in Computer Science 9122, Springer 2015, ISBN 978-3-319-20033-0 [contents] - 2014
- [j21]Steven Davy, Jeroen Famaey, Joan Serrat, Juan-Luis Gorricho, Avi Miron, Manos Dramitinos, Pedro Miguel Neves, Steven Latré, Ezer Goshen:
Challenges to support edge-as-a-service. IEEE Commun. Mag. 52(1): 132-139 (2014) - [j20]Steven Latré, Jeroen Famaey, Filip De Turck, Piet Demeester:
The fluid internet: service-centric management of a virtualized future internet. IEEE Commun. Mag. 52(1): 140-148 (2014) - [j19]Maxim Claeys, Steven Latré, Jeroen Famaey, Tingyao Wu, Werner Van Leekwijck, Filip De Turck:
Design and optimisation of a (FA)Q-learning-based HTTP adaptive streaming client. Connect. Sci. 26(1): 25-43 (2014) - [j18]Maxim Claeys, Steven Latré, Jeroen Famaey, Filip De Turck:
Design and Evaluation of a Self-Learning HTTP Adaptive Video Streaming Client. IEEE Commun. Lett. 18(4): 716-719 (2014) - [j17]Steven Latré, Jeroen Famaey, Filip De Turck:
A semantic context exchange process for the federated management of the future internet. Int. J. Netw. Manag. 24(1): 1-27 (2014) - [j16]Steven Latré, Antonio Liotta, Filip De Turck:
A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). J. Netw. Syst. Manag. 22(2): 280-288 (2014) - [j15]Jeroen Famaey, Steven Latré, Tim Wauters, Filip De Turck:
End-to-End Resource Management for Federated Delivery of Multimedia Services. J. Netw. Syst. Manag. 22(3): 396-433 (2014) - [j14]Femke Ongenae, Jeroen Famaey, Stijn Verstichel, Saar De Zutter, Steven Latré, Ann Ackaert, Piet Verhoeve, Filip De Turck:
Ambient-aware continuous care through semantic context dissemination. BMC Medical Informatics Decis. Mak. 14: 97 (2014) - [j13]Niels Bouten, Steven Latré, Jeroen Famaey, Werner Van Leekwijck, Filip De Turck:
In-Network Quality Optimization for Adaptive Video Streaming Services. IEEE Trans. Multim. 16(8): 2281-2293 (2014) - [c34]Maxim Claeys, Steven Latré, Filip De Turck:
Efficient Management of Virtualized Information-Centric Networks. AIMS 2014: 42-46 - [c33]Maxim Claeys, Daphné Tuncer, Jeroen Famaey, Marinos Charalambides, Steven Latré, George Pavlou, Filip De Turck:
Proactive multi-tenant cache management for virtualized ISP networks. CNSM 2014: 82-90 - [c32]Rashid Mijumbi, Joan Serrat, Javier Rubio-Loyola, Niels Bouten, Filip De Turck, Steven Latré:
Dynamic resource management in SDN-based virtualized networks. CNSM 2014: 412-417 - [c31]Maxim Claeys, Daphné Tuncer, Jeroen Famaey, Marinos Charalambides, Steven Latré, Filip De Turck, George Pavlou:
Towards multi-tenant cache management for ISP networks. EuCNC 2014: 1-5 - [c30]Maryam Barshan, Hendrik Moens, Steven Latré, Filip De Turck:
Algorithms for efficient data management of component-based applications in cloud environments. NOMS 2014: 1-8 - [c29]Niels Bouten, Maxim Claeys, Robin Bailleul, Jin Li, Jeroen Famaey, Steven Latré, Jan De Cock, David Lou, Werner Van Leekwijck, Filip De Turck:
Improved delivery of live SVC-based HTTP adaptive streaming content. NOMS 2014: 1-2 - [c28]Niels Bouten, Maxim Claeys, Steven Latré, Jeroen Famaey, Werner Van Leekwijck, Filip De Turck:
Deadline-based approach for improving delivery of SVC-based HTTP Adaptive Streaming content. NOMS 2014: 1-7 - [c27]Rashid Mijumbi, Juan-Luis Gorricho, Joan Serrat, Maxim Claeys, Filip De Turck, Steven Latré:
Design and evaluation of learning algorithms for dynamic resource management in virtual networks. NOMS 2014: 1-9 - [c26]Stefano Petrangeli, Maxim Claeys, Steven Latré, Jeroen Famaey, Filip De Turck:
A multi-agent Q-Learning-based framework for achieving fairness in HTTP Adaptive Streaming. NOMS 2014: 1-9 - [e1]Anna Sperotto, Guillaume Doyen, Steven Latré, Marinos Charalambides, Burkhard Stiller:
Monitoring and Securing Virtualized Networks and Services - 8th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2014, Brno, Czech Republic, June 30 - July 3, 2014. Proceedings. Lecture Notes in Computer Science 8508, Springer 2014, ISBN 978-3-662-43861-9 [contents] - 2013
- [j12]Steven Latré, Wim Van de Meerssche, Dirk Deschrijver, Dimitri Papadimitriou, Tom Dhaene, Filip De Turck:
A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. Int. J. Netw. Manag. 23(1): 16-40 (2013) - [j11]Steven Latré, Jeroen Famaey, John Strassner, Filip De Turck:
Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation. J. Netw. Comput. Appl. 36(6): 1405-1417 (2013) - [j10]Steven Latré, Filip De Turck:
Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation. J. Netw. Syst. Manag. 21(4): 588-622 (2013) - [j9]Niels Bouten, Steven Latré, Wim Van de Meerssche, Bart De Vleeschauwer, Koen De Schepper, Werner Van Leekwijck, Filip De Turck:
A Multicast-Enabled Delivery Framework for QoE Assurance of Over-The-Top Services in Multimedia Access Networks. J. Netw. Syst. Manag. 21(4): 677-706 (2013) - [j8]Kristof Steurbaut, Steven Latré, Johan Decruyenaere, Filip De Turck:
Autonomic care platform for optimizing query performance. BMC Medical Informatics Decis. Mak. 13: 120 (2013) - [c25]Jeroen Famaey, Steven Latré, Ray van Brandenburg, M. Oskar van Deventer, Filip De Turck:
On the Impact of Redirection on HTTP Adaptive Streaming Services in Federated CDNs. AIMS 2013: 13-24 - [c24]Jens Devloo, Nils Lamot, Jelle van Campen, Evi Weymaere, Steven Latré, Jeroen Famaey, Ray van Brandenburg, Filip De Turck:
Design and Evaluation of Tile Selection Algorithms for Tiled HTTP Adaptive Streaming. AIMS 2013: 25-36 - [c23]Niels Bouten, Steven Latré, Filip De Turck:
QoE-Centric Management of Multimedia Networks through Cooperative Control Loops. AIMS 2013: 96-99 - [c22]Jeroen Famaey, Steven Latré, Niels Bouten, Wim Van de Meerssche, Bart De Vleeschauwer, Werner Van Leekwijck, Filip De Turck:
On the merits of SVC-based HTTP Adaptive Streaming. IM 2013: 419-426 - [c21]Steven Latré, Jeroen Famaey, Tim Wauters, Werner Van Leekwijck, Filip De Turck:
Design of an emulation framework for evaluating large-scale open content aware networks. IM 2013: 804-807 - [c20]Niels Bouten, Steven Latré, Jeroen Famaey, Filip De Turck, Werner Van Leekwijck:
Minimizing the impact of delay on live SVC-based HTTP adaptive streaming services. IM 2013: 1399-1404 - 2012
- [j7]Jeroen Famaey, Steven Latré, John Strassner, Filip De Turck:
Semantic context dissemination and service matchmaking in future network management. Int. J. Netw. Manag. 22(4): 285-310 (2012) - [j6]Chris Develder, Peter Lambert, Wim Van Lancker, Stefaan Moens, Rik Van de Walle, Jelle Nelis, Dieter Verslype, Steven Latré, Nicolas Staelens, Nick Vercammen, Brecht Vermeulen, Bart Masschelein, Tom Van Leeuwen, Jean-François Macq, Kris Struyve, Filip De Turck, Bart Dhoedt:
Delivering scalable video with QoS to the home. Telecommun. Syst. 49(1): 129-148 (2012) - [c19]Niels Bouten, Jeroen Famaey, Steven Latré, Rafael Huysegems, Bart De Vleeschauwer, Werner Van Leekwijck, Filip De Turck:
QoE optimization through in-network quality adaptation for HTTP Adaptive Streaming. CNSM 2012: 336-342 - [c18]Jeroen Famaey, Steven Latré, Tim Wauters, Filip De Turck:
FedRR - A Federated Resource Reservation algorithm for multimedia services. NOMS 2012: 130-137 - [c17]Steven Latré, Filip De Turck:
Autonomic Quality of Experience management of multimedia networks. NOMS 2012: 872-879 - [c16]Jeroen Famaey, Steven Latré, Tim Wauters, Filip De Turck:
An SLA-driven framework for dynamic multimedia content delivery federations. NOMS 2012: 1241-1247 - [c15]Niels Bouten, Steven Latré, Wim Van de Meerssche, Koen De Schepper, Bart De Vleeschauwer, Werner Van Leekwijck, Filip De Turck:
An autonomic delivery framework for HTTP Adaptive Streaming in multicast-enabled multimedia access networks. NOMS 2012: 1248-1253 - 2011
- [j5]Steven Latré, Klaas Roobroeck, Tim Wauters, Filip De Turck:
Protecting video service quality in multimedia access networks through PCN. IEEE Commun. Mag. 49(12): 94-101 (2011) - [j4]Jeroen Famaey, Steven Latré, John Strassner, Filip De Turck:
A hierarchical context dissemination framework for managing federated clouds. J. Commun. Networks 13(6): 567-582 (2011) - [j3]Philip Leroux, Steven Latré, Nicolas Staelens, Piet Demeester, Filip De Turck:
Mobile TV services through IP Datacast over DVB-H: Dependability of the quality of experience on the IP-based distribution network quality of service. J. Netw. Comput. Appl. 34(5): 1474-1488 (2011) - [j2]Steven Latré, Bart De Vleeschauwer, Wim Van de Meerssche, Koen De Schepper, Christian Hublet, Werner Van Leekwijck, Filip De Turck:
PCN Based Admission Control for Autonomic Video Quality Differentiation: Design and Evaluation. J. Netw. Syst. Manag. 19(1): 32-57 (2011) - [c14]Hendrik Moens, Jeroen Famaey, Steven Latré, Bart Dhoedt, Filip De Turck:
Design and evaluation of a hierarchical application placement algorithm in large scale clouds. Integrated Network Management 2011: 137-144 - [c13]Klaas Roobroeck, Steven Latré, Tim Wauters, Filip De Turck:
Optimized network utilisation through buffering in PCN enabled multimedia access networks. Integrated Network Management 2011: 1243-1249 - 2010
- [c12]Steven Latré, Wim Van de Meerssche, Stijn Melis, Dimitri Papadimitriou, Filip De Turck, Piet Demeester:
Automated management of network experiments and user behaviour emulation on large scale testbed facilities. CNSM 2010: 254-257 - [c11]Jeroen Famaey, Steven Latré, John Strassner, Filip De Turck:
An Ontology-Driven Semantic Bus for Autonomic Communication Elements. MACE 2010: 37-50 - [c10]Steven Latré, Sven van der Meer, Filip De Turck, John Strassner, James Won-Ki Hong:
Ontological generation of filter rules for context exchange in autonomic multimedia networks. NOMS 2010: 575-582 - [c9]Jeroen Famaey, Wim Van de Meerssche, Steven Latré, Stijn Melis, Tim Wauters, Filip De Turck, Koen De Schepper, Bart De Vleeschauwer, Rafael Huysegems:
Towards intelligent scheduling of multimedia content in future access networks. NOMS 2010: 821-824 - [c8]Steven Latré, Filip De Turck, Dimitri Papadimitriou, Piet Demeester:
A Management Framework for Automating Network Experiments and User Behaviour Emulation on Large Scale Testbed Facilities. ServiceWave 2010: 209-210
2000 – 2009
- 2009
- [j1]Steven Latré, Pieter Simoens, Bart De Vleeschauwer, Wim Van de Meerssche, Filip De Turck, Bart Dhoedt, Piet Demeester, Steven Van den Berghe, Edith Gilon-de Lumley:
An autonomic architecture for optimizing QoE in multimedia access networks. Comput. Networks 53(10): 1587-1602 (2009) - [c7]Steven Latré, Bart De Vleeschauwer, Wim Van de Meerssche, Filip De Turck, Piet Demeester, Koen De Schepper, Christian Hublet, Wouter Rogiest, Stefan Custers, Werner Van Leekwijck:
Design and Configuration of PCN Based Admission Control in Multimedia Aggregation Networks. GLOBECOM 2009: 1-8 - [c6]Steven Latré, Stijn Verstichel, Bart De Vleeschauwer, Filip De Turck, Piet Demeester:
On the Design of an Architecture for Partitioned Knowledge Management in Autonomic Multimedia Access and Aggregation Networks. MACE 2009: 105-110 - 2008
- [c5]Steven Latré, Nicolas Staelens, Pieter Simoens, Bart De Vleeschauwer, Wim Van de Meerssche, Filip De Turck, Bart Dhoedt, Piet Demeester, Steven Van den Berghe, Rafael Huysegems, Nico Verzijp:
On-line Estimation of the QoE of Progressive Download Based Services in Multimedia Access Networks. International Conference on Internet Computing 2008: 181-187 - [c4]Pieter Simoens, Steven Latré, Bart De Vleeschauwer, Wim Van de Meerssche, Filip De Turck, Bart Dhoedt, Piet Demeester, Steven Van den Berghe, Edith Gilon-de Lumley:
Design of an Autonomic QoE Reasoner for Improving Access Network Performance. ICAS 2008: 233-240 - [c3]Steven Latré, Pieter Simoens, Wim Van de Meerssche, Bart De Vleeschauwer, Filip De Turck, Bart Dhoedt, Piet Demeester, Steven Van den Berghe, Edith Gilon-de Lumley:
Automated Generation of Knowledge Plane Components for Multimedia Access Networks. MACE 2008: 50-61 - 2007
- [c2]Steven Latré, Filip De Turck, Bart Dhoedt, Piet Demeester:
Scalable Simulation of QoE Optimization for Multimedia Services Over Access Networks. International Conference on Internet Computing 2007: 133-139 - [c1]Stijn Verstichel, Steven Latré, Stijn Melis, Filip De Turck, Bart Dhoedt, Piet Demeester:
A PerfSONAR-compliant Looking Glass for the Geant2 Multi-Domain Monitoring Service. PDPTA 2007: 372-378
Coauthor Index
aka: Miguel Camelo Botero
aka: Lisandro Zambenedetti Granville
aka: Johann M. Márquez-Barja
aka: Nina Slamnik-Krijestorac
aka: Paola Soto-Arenas
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