Scalable Simulation of QoE Optimization for Multimedia Services Over Access Networks. - Steven Latré; Filip De Turck; Bart Dhoedt; Piet Demeester (International Conference on Internet Computing, 2007)

A PerfSONAR-compliant Looking Glass for the Geant2 Multi-Domain Monitoring Service. - Stijn Verstichel; Steven Latré; Stijn Melis; Filip De Turck; Bart Dhoedt; Piet Demeester (PDPTA, 2007)

On-line Estimation of the QoE of Progressive Download Based Services in Multimedia Access Networks. - 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 (International Conference on Internet Computing, 2008)

Design of an Autonomic QoE Reasoner for Improving Access Network Performance. - 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 (ICAS, 2008)

Automated Generation of Knowledge Plane Components for Multimedia Access Networks. - 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 (MACE, 2008)

Design and Configuration of PCN Based Admission Control in Multimedia Aggregation Networks. - 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 (GLOBECOM, 2009)

On the Design of an Architecture for Partitioned Knowledge Management in Autonomic Multimedia Access and Aggregation Networks. - Steven Latré; Stijn Verstichel; Bart De Vleeschauwer; Filip De Turck; Piet Demeester (MACE, 2009)

An autonomic architecture for optimizing QoE in multimedia access networks. - 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 (Comput. Networks, 2009)

Automated management of network experiments and user behaviour emulation on large scale testbed facilities. - Steven Latré; Wim Van de Meerssche; Stijn Melis; Dimitri Papadimitriou; Filip De Turck; Piet Demeester (CNSM, 2010)

An Ontology-Driven Semantic Bus for Autonomic Communication Elements. - Jeroen Famaey; Steven Latré; John Strassner; Filip De Turck (MACE, 2010)

Towards intelligent scheduling of multimedia content in future access networks. - Jeroen Famaey; Wim Van de Meerssche; Steven Latré; Stijn Melis; Tim Wauters; Filip De Turck; Koen De Schepper; Bart De Vleeschauwer; Rafael Huysegems (NOMS, 2010)

Ontological generation of filter rules for context exchange in autonomic multimedia networks. - Steven Latré; Sven van der Meer; Filip De Turck; John Strassner; James Won-Ki Hong (NOMS, 2010)

A Management Framework for Automating Network Experiments and User Behaviour Emulation on Large Scale Testbed Facilities. - Steven Latré; Filip De Turck; Dimitri Papadimitriou; Piet Demeester (ServiceWave, 2010)

Design and evaluation of a hierarchical application placement algorithm in large scale clouds. - Hendrik Moens; Jeroen Famaey; Steven Latré; Bart Dhoedt; Filip De Turck (Integrated Network Management, 2011)

Optimized network utilisation through buffering in PCN enabled multimedia access networks. - Klaas Roobroeck; Steven Latré; Tim Wauters; Filip De Turck (Integrated Network Management, 2011)

Protecting video service quality in multimedia access networks through PCN. - Steven Latré; Klaas Roobroeck; Tim Wauters; Filip De Turck (IEEE Commun. Mag., 2011)

A hierarchical context dissemination framework for managing federated clouds. - Jeroen Famaey; Steven Latré; John Strassner; Filip De Turck (J. Commun. Networks, 2011)

Mobile TV services through IP Datacast over DVB-H: Dependability of the quality of experience on the IP-based distribution network quality of service. - Philip Leroux; Steven Latré; Nicolas Staelens; Piet Demeester; Filip De Turck (J. Netw. Comput. Appl., 2011)

PCN Based Admission Control for Autonomic Video Quality Differentiation: Design and Evaluation. - Steven Latré; Bart De Vleeschauwer; Wim Van de Meerssche; Koen De Schepper; Christian Hublet; Werner Van Leekwijck; Filip De Turck (J. Netw. Syst. Manag., 2011)

QoE optimization through in-network quality adaptation for HTTP Adaptive Streaming. - Niels Bouten; Jeroen Famaey; Steven Latré; Rafael Huysegems; Bart De Vleeschauwer; Werner Van Leekwijck; Filip De Turck (CNSM, 2012)

An autonomic delivery framework for HTTP Adaptive Streaming in multicast-enabled multimedia access networks. - Niels Bouten; Steven Latré; Wim Van de Meerssche; Koen De Schepper; Bart De Vleeschauwer; Werner Van Leekwijck; Filip De Turck (NOMS, 2012)

FedRR - A Federated Resource Reservation algorithm for multimedia services. - Jeroen Famaey; Steven Latré; Tim Wauters; Filip De Turck (NOMS, 2012)

An SLA-driven framework for dynamic multimedia content delivery federations. - Jeroen Famaey; Steven Latré; Tim Wauters; Filip De Turck (NOMS, 2012)

Autonomic Quality of Experience management of multimedia networks. - Steven Latré; Filip De Turck (NOMS, 2012)

Semantic context dissemination and service matchmaking in future network management. - Jeroen Famaey; Steven Latré; John Strassner; Filip De Turck (Int. J. Netw. Manag., 2012)

Delivering scalable video with QoS to the home. - 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; et al. (Telecommun. Syst., 2012)

QoE-Centric Management of Multimedia Networks through Cooperative Control Loops. - Niels Bouten; Steven Latré; Filip De Turck (AIMS, 2013)

Design and Evaluation of Tile Selection Algorithms for Tiled HTTP Adaptive Streaming. - Jens Devloo; Nils Lamot; Jelle van Campen; Evi Weymaere; Steven Latré; Jeroen Famaey; Ray van Brandenburg; Filip De Turck (AIMS, 2013)

On the Impact of Redirection on HTTP Adaptive Streaming Services in Federated CDNs. - Jeroen Famaey; Steven Latré; Ray van Brandenburg; M. Oskar van Deventer; Filip De Turck (AIMS, 2013)

Minimizing the impact of delay on live SVC-based HTTP adaptive streaming services. - Niels Bouten; Steven Latré; Jeroen Famaey; Filip De Turck; Werner Van Leekwijck (IM, 2013)

On the merits of SVC-based HTTP Adaptive Streaming. - Jeroen Famaey; Steven Latré; Niels Bouten; Wim Van de Meerssche; Bart De Vleeschauwer; Werner Van Leekwijck; Filip De Turck (IM, 2013)

Design of an emulation framework for evaluating large-scale open content aware networks. - Steven Latré; Jeroen Famaey; Tim Wauters; Werner Van Leekwijck; Filip De Turck (IM, 2013)

A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. - Steven Latré; Wim Van de Meerssche; Dirk Deschrijver; Dimitri Papadimitriou; Tom Dhaene; Filip De Turck (Int. J. Netw. Manag., 2013)

Automated context dissemination for autonomic collaborative networks through semantic subscription filter generation. - Steven Latré; Jeroen Famaey; John Strassner; Filip De Turck (J. Netw. Comput. Appl., 2013)

A Multicast-Enabled Delivery Framework for QoE Assurance of Over-The-Top Services in Multimedia Access Networks. - Niels Bouten; Steven Latré; Wim Van de Meerssche; Bart De Vleeschauwer; Koen De Schepper; Werner Van Leekwijck; Filip De Turck (J. Netw. Syst. Manag., 2013)

Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation. - Steven Latré; Filip De Turck (J. Netw. Syst. Manag., 2013)

Autonomic care platform for optimizing query performance. - Kristof Steurbaut; Steven Latré; Johan Decruyenaere; Filip De Turck (BMC Medical Informatics Decis. Mak., 2013)

Efficient Management of Virtualized Information-Centric Networks. - Maxim Claeys; Steven Latré; Filip De Turck (AIMS, 2014)

Proactive multi-tenant cache management for virtualized ISP networks. - Maxim Claeys; Daphné Tuncer; Jeroen Famaey; Marinos Charalambides; Steven Latré; George Pavlou; Filip De Turck (CNSM, 2014)

Dynamic resource management in SDN-based virtualized networks. - Rashid Mijumbi; Joan Serrat 001; Javier Rubio-Loyola; Niels Bouten; Filip De Turck; Steven Latré (CNSM, 2014)

Towards multi-tenant cache management for ISP networks. - Maxim Claeys; Daphné Tuncer; Jeroen Famaey; Marinos Charalambides; Steven Latré; Filip De Turck; George Pavlou (EuCNC, 2014)

Algorithms for efficient data management of component-based applications in cloud environments. - Maryam Barshan; Hendrik Moens; Steven Latré; Filip De Turck (NOMS, 2014)

Improved delivery of live SVC-based HTTP adaptive streaming content. - Niels Bouten; Maxim Claeys; Robin Bailleul; Jin Li; Jeroen Famaey; Steven Latré; Jan De Cock; David Lou; Werner Van Leekwijck; Filip De Turck (NOMS, 2014)

Deadline-based approach for improving delivery of SVC-based HTTP Adaptive Streaming content. - Niels Bouten; Maxim Claeys; Steven Latré; Jeroen Famaey; Werner Van Leekwijck; Filip De Turck (NOMS, 2014)

Design and evaluation of learning algorithms for dynamic resource management in virtual networks. - Rashid Mijumbi; Juan-Luis Gorricho; Joan Serrat 001; Maxim Claeys; Filip De Turck; Steven Latré (NOMS, 2014)

A multi-agent Q-Learning-based framework for achieving fairness in HTTP Adaptive Streaming. - Stefano Petrangeli; Maxim Claeys; Steven Latré; Jeroen Famaey; Filip De Turck (NOMS, 2014)

Challenges to support edge-as-a-service. - Steven Davy; Jeroen Famaey; Joan Serrat 001; Juan-Luis Gorricho; Avi Miron; Manos Dramitinos; Pedro Miguel Neves; Steven Latré; Ezer Goshen (IEEE Commun. Mag., 2014)

The fluid internet: service-centric management of a virtualized future internet. - Steven Latré; Jeroen Famaey; Filip De Turck; Piet Demeester (IEEE Commun. Mag., 2014)

Design and optimisation of a (FA)Q-learning-based HTTP adaptive streaming client. - Maxim Claeys; Steven Latré; Jeroen Famaey; Tingyao Wu; Werner Van Leekwijck; Filip De Turck (Connect. Sci., 2014)

Design and Evaluation of a Self-Learning HTTP Adaptive Video Streaming Client. - Maxim Claeys; Steven Latré; Jeroen Famaey; Filip De Turck (IEEE Commun. Lett., 2014)

A semantic context exchange process for the federated management of the future internet. - Steven Latré; Jeroen Famaey; Filip De Turck (Int. J. Netw. Manag., 2014)

End-to-End Resource Management for Federated Delivery of Multimedia Services. - Jeroen Famaey; Steven Latré; Tim Wauters; Filip De Turck (J. Netw. Syst. Manag., 2014)

A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013). - Steven Latré; Antonio Liotta; Filip De Turck (J. Netw. Syst. Manag., 2014)

Ambient-aware continuous care through semantic context dissemination. - Femke Ongenae; Jeroen Famaey; Stijn Verstichel; Saar De Zutter; Steven Latré; Ann Ackaert; Piet Verhoeve; Filip De Turck (BMC Medical Informatics Decis. Mak., 2014)

In-Network Quality Optimization for Adaptive Video Streaming Services. - Niels Bouten; Steven Latré; Jeroen Famaey; Werner Van Leekwijck; Filip De Turck (IEEE Trans. Multim., 2014)

A Network-Driven Multi-Access-Point Load-Balancing Algorithm for Large-Scale Public Hotspots. - Patrick Bosch; Bart Braem; Steven Latré (AIMS, 2015)

Towards a Fluid Cloud: An Extension of the Cloud into the Local Network. - Bart Spinnewyn; Steven Latré (AIMS, 2015)

An announcement-based caching approach for video-on-demand streaming. - Maxim Claeys; Niels Bouten; Danny De Vleeschauwer; Werner Van Leekwijck; Steven Latré; Filip De Turck (CNSM, 2015)

SDN-based management of heterogeneous home networks. - Niels Soetens; Jeroen Famaey; Matthias Verstappen; Steven Latré (CNSM, 2015)

Fault-tolerant application placement in heterogeneous cloud environments. - Bart Spinnewyn; Bart Braem; Steven Latré (CNSM, 2015)

A virtual reality-based multiplayer game using fine-grained localization. - Tom De Schepper; Bart Braem; Steven Latré (GIIS, 2015)

Upstream Content Scheduling in Wi-Fi DenseNets during Large-Scale Events. - Glenn Daneels; Jeroen Famaey; Steven Bohez; Pieter Simoens; Steven Latré (GLOBECOM Workshops, 2015)

Towards NFV-based multimedia delivery. - Niels Bouten; Jeroen Famaey; Rashid Mijumbi; Bram Naudts; Joan Serrat 001; Steven Latré; Filip De Turck (IM, 2015)

Testing a community network testbed control system. - Bart Braem; Jeroen Avonts; Chris Blondia; Steven Latré (IM, 2015)

Experiences from building an outdoor testbed for community wireless networks. - Bart Braem; Chris Blondia; Steven Latré (IM, 2015)

QoE-driven in-network optimization for Adaptive Video Streaming based on packet sampling measurements. - Niels Bouten; Ricardo de Oliveira Schmidt; Jeroen Famaey; Steven Latré; Aiko Pras; Filip De Turck (Comput. Networks, 2015)

Advances in management of multimedia services. - Marinos Charalambides; Thomas Zinner; Hiroshi Saito; Prasad Calyam; Steven Latré (Int. J. Netw. Manag., 2015)

Report on the 8th International Conference on Autonomous Infrastructure, Management, and Security (AIMS 2014) - Monitoring and Securing Virtualized Networks and Services. - Anna Sperotto; Guillaume Doyen; Steven Latré; Marinos Charalambides; Jeroen Famaey; Petr Velan; Pavel Celeda (J. Netw. Syst. Manag., 2015)

GRECO: A Distributed Genetic Algorithm for Reliable Application Placement in Hybrid Clouds. - Ruben Mennes; Bart Spinnewyn; Steven Latré; Juan Felipe Botero (CloudNet, 2016)

Dynamic server selection strategy for multi-server HTTP adaptive streaming services. - Niels Bouten; Maxim Claeys; Bert Van Poecke; Steven Latré; Filip De Turck (CNSM, 2016)

Deadline-aware TCP congestion control for video streaming services. - Maxim Claeys; Niels Bouten; Danny De Vleeschauwer; Koen De Schepper; Werner Van Leekwijck; Steven Latré; Filip De Turck (CNSM, 2016)

MobIoTSim: Towards a Mobile IoT Device Simulator. - Tamas Pflanzner; Attila Kertész; Bart Spinnewyn; Steven Latré (FiCloud Workshops, 2016)

Designing a smart city playground: Real-time air quality measurements and visualization in the City of Things testbed. - Bart Braem; Steven Latré; Philip Leroux; Piet Demeester; Tanguy Coenen; Pieter Ballon (ISC2, 2016)

City of things: An integrated and multi-technology testbed for IoT smart city experiments. - Steven Latré; Philip Leroux; Tanguy Coenen; Bart Braem; Pieter Ballon; Piet Demeester (ISC2, 2016)

Decentralized broadcast-based scheduling for dense multi-hop TSCH networks. - Esteban Municio; Steven Latré (MobiArch, 2016)

Semantic validation of affinity constrained service function chain requests. - Niels Bouten; Maxim Claeys; Rashid Mijumbi; Jeroen Famaey; Steven Latré; Joan Serrat 001 (NetSoft, 2016)

Scylla: A language for virtual network functions orchestration in enterprise WLANs. - Roberto Riggio; Imen Grida Ben Yahia; Steven Latré; Tinku Rasheed (NOMS, 2016)

A Scalable Parallel Q-Learning Algorithm for Resource Constrained Decentralized Computing Environments. - Miguel Camelo; Jeroen Famaey; Steven Latré (MLHPC@SC, 2016)

Implementation and Validation of an IEEE 802.11ah Module for ns-3. - Le Tian 002; Sébastien Deronne; Steven Latré; Jeroen Famaey (WNS3, 2016)

Evaluation of the IEEE 802.11ah Restricted Access Window mechanism for dense IoT networks. - Le Tian 002; Jeroen Famaey; Steven Latré (WoWMoM, 2016)

Management and orchestration challenges in network functions virtualization. - Rashid Mijumbi; Joan Serrat 001; Juan-Luis Gorricho; Steven Latré; Marinos Charalambides; Diego R. López (IEEE Commun. Mag., 2016)

Hybrid multi-tenant cache management for virtualized ISP networks. - Maxim Claeys; Daphné Tuncer; Jeroen Famaey; Marinos Charalambides; Steven Latré; George Pavlou; Filip De Turck (J. Netw. Comput. Appl., 2016)

Cooperative Announcement-Based Caching for Video-on-Demand Streaming. - Maxim Claeys; Niels Bouten; Danny De Vleeschauwer; Werner Van Leekwijck; Steven Latré; Filip De Turck (IEEE Trans. Netw. Serv. Manag., 2016)

QoE-Driven Rate Adaptation Heuristic for Fair Adaptive Video Streaming. - Stefano Petrangeli; Jeroen Famaey; Maxim Claeys; Steven Latré; Filip De Turck (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Optimal Service Function Chain Composition in Network Functions Virtualization. - 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 (AIMS, 2017)

Software-defined multipath-TCP for smart mobile devices. - Tom De Schepper; Jakob Struye; Ensar Zeljkovic; Steven Latré; Jeroen Famaey (CNSM, 2017)

Cost-effective replica management in fault-tolerant cloud environments. - Bart Spinnewyn; Juan Felipe Botero; Steven Latré (CNSM, 2017)

Assessing the value of containers for NFVs: A detailed network performance study. - Jakob Struye; Bart Spinnewyn; Kathleen Spaey; Kristiaan Bonjean; Steven Latré (CNSM, 2017)

DiMob: Scalable and seamless mobility in SDN managed wireless networks. - Ian Vermeulen; Patrick Bosch; Tom De Schepper; Steven Latré (CNSM, 2017)

ORCHESTRA: Virtualized and programmable orchestration of heterogeneous WLANs. - Ensar Zeljkovic; Tom De Schepper; Patrick Bosch; Ian Vermeulen; Jetmir Haxhibeqiri; Jeroen Hoebeke; Jeroen Famaey; Steven Latré (CNSM, 2017)

On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing. - Y. Nait Malek; Abdelhak Kharbouch; H. El Khoukhi; Mohamed Bakhouya; Vincenzo De Florio; Driss El Ouadghiri; Steven Latré; Chris Blondia (EUSPN/ICTH, 2017)

Real-Time data dissemination and analytics platform for challenging IoT environments. - Glenn Daneels; Esteban Municio; Kathleen Spaey; Gilles Vandewiele; Alexander Dejonghe; Femke Ongenae; Steven Latré; Jeroen Famaey (GIIS, 2017)

How is your event Wi-Fi doing? Performance measurements of large-scale and dense IEEE 802.11n/ac networks. - Patrick Bosch; Jeroen Wyffels; Bart Braem; Steven Latré (IM, 2017)

SDN-based transparent flow scheduling for heterogeneous wireless LANs. - Tom De Schepper; Patrick Bosch; Ensar Zeljkovic; Koen De Schepper; Chris Hawinkel; Steven Latré; Jeroen Famaey (IM, 2017)

A transparent load balancing algorithm for heterogeneous Local Area Networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (IM, 2017)

Dynamic BLE-based fingerprinting for location-aware smart homes. - Tom De Schepper; Alexander Vanhulle; Steven Latré (SCVT, 2017)

Accurate Sensor Traffic Estimation for Station Grouping in Highly Dense IEEE 802.11ah Networks. - Le Tian 002; Serena Santi; Steven Latré; Jeroen Famaey (FAILSAFE@SenSys, 2017)

Exploiting distance information for transparent access point driven Wi-Fi handovers. - Ensar Zeljkovic; Roberto Riggio; Steven Latré (WoWMoM, 2017)

Algorithms for network-aware application component placement for cloud resource allocation. - Maryam Barshan; Hendrik Moens; Steven Latré; Bruno Volckaert; Filip De Turck (J. Commun. Networks, 2017)

Resilient application placement for geo-distributed cloud networks. - Bart Spinnewyn; Ruben Mennes; Juan Felipe Botero; Steven Latré (J. Netw. Comput. Appl., 2017)

Real-Time Station Grouping under Dynamic Traffic for IEEE 802.11ah. - Le Tian 002; Evgeny M. Khorov; Steven Latré; Jeroen Famaey (Sensors, 2017)

Semantically Enhanced Mapping Algorithm for Affinity-Constrained Service Function Chain Requests. - Niels Bouten; Rashid Mijumbi; Joan Serrat 001; Jeroen Famaey; Steven Latré; Filip De Turck (IEEE Trans. Netw. Serv. Manag., 2017)

Sub-GHz LPWAN Network Coexistence, Management and Virtualization: An Overview and Open Research Challenges. - Eli De Poorter; Jeroen Hoebeke; Matthias Strobbe; Ingrid Moerman; Steven Latré; Maarten Weyn; Bart Lannoo; Jeroen Famaey (Wirel. Pers. Commun., 2017)

Latency Modelling in IEEE 802.11 Systems with non-IEEE 802.11 Interfering Source. - Patrick Bosch; Steven Latré; Chris Blondia (CNSM, 2018)

A Machine Learning Approach for IEEE 802.11 Channel Allocation. - Olivier Jeunen; Patrick Bosch; Michiel Van Herwegen; Karel Van Doorselaer; Nick Godman; Steven Latré (CNSM, 2018)

Load balancing and flow management under user mobility in heterogeneous wireless networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (CNSM, 2018)

Proactive Access Point Driven Handovers in IEEE 802.11 Networks. - Ensar Zeljkovic; Johann M. Márquez-Barja; Andreas Kassler; Roberto Riggio; Steven Latré (CNSM, 2018)

Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals. - Phui San Cheong; Miguel Camelo; Steven Latré (CrownCom, 2018)

The CityLab testbed - Large-scale multi-technology wireless experimentation in a city environment: Neural network-based interference prediction in a smart city. - Jakob Struye; Bart Braem; Steven Latré; Johann Márquez-Barja (INFOCOM Workshops, 2018)

A large-scale demonstration of SDN-based handover management in IEEE 802.11 networks. - Ensar Zeljkovic; Johann M. Márquez-Barja; Steven Latré (SIGCOMM Posters and Demos, 2018)

A neural-network-based MF-TDMA MAC scheduler for collaborative wireless networks. - Ruben Mennes; Miguel Camelo; Maxim Claeys; Steven Latré (WCNC, 2018)

Q2-Routing : A Qos-aware Q-Routing algorithm for Wireless Ad Hoc Networks. - Thomas Hendriks; Miguel Camelo; Steven Latré (WiMob, 2018)

A Demonstration of Seamless Inter-Technology Mobility in Heterogeneous Networks. - Patrick Bosch; Tom De Schepper; Ensar Zeljkovic; Farouk Mahfoudhi; Yorick De Bock; Jeroen Famaey; Steven Latré (WOWMOM, 2018)

IEEE 802.11ah Restricted Access Window Surrogate Model for Real-Time Station Grouping. - Le Tian 002; Michael T. Mehari; Serena Santi; Steven Latré; Eli De Poorter; Jeroen Famaey (WOWMOM, 2018)

Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices: Proof-of-Concept & Performance Evaluation. - Mathias De Brouwer; Femke Ongenae; Glenn Daneels; Esteban Municio; Jeroen Famaey; Steven Latré; Filip De Turck (WWW (Companion Volume), 2018)

ILastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data. - Anastasia Dimou; Gerald Haesendonck; Martin Vanbrabant; Laurens De Vocht; Ruben Verborgh; Steven Latré; Erik Mannens (SAVE-SD@WWW, 2018)

ReSF: Recurrent Low-Latency Scheduling in IEEE 802.15.4e TSCH networks. - Glenn Daneels; Bart Spinnewyn; Steven Latré; Jeroen Famaey (Ad Hoc Networks, 2018)

City of Things: Enabling Resource Provisioning in Smart Cities. - José Santos 001; Thomas Vanhove; Merlijn Sebrechts; Thomas Dupont; Wannes Kerckhove; Bart Braem; Gregory van Seghbroeck; Tim Wauters; Philip Leroux; Steven Latré; Bruno Volckaert; Filip De Turck (IEEE Commun. Mag., 2018)

A distributed density optimized scheduling function for IEEE 802.15.4e TSCH networks. - Esteban Municio; Kathleen Spaey; Steven Latré (Trans. Emerg. Telecommun. Technol., 2018)

Deadline-aware TCP congestion control for HTTP adaptive streaming services. - Maxim Claeys; Niels Bouten; Danny De Vleeschauwer; Koen De Schepper; Werner Van Leekwijck; Steven Latré; Filip De Turck (Int. J. Netw. Manag., 2018)

Clustering-based quality selection heuristics for HTTP adaptive streaming over cache networks. - Jeroen van der Hooft; Niels Bouten; Danny De Vleeschauwer; Werner Van Leekwijck; Tim Wauters; Steven Latré; Filip De Turck (Int. J. Netw. Manag., 2018)

The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events. - 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 (Multim. Tools Appl., 2018)

Accurate Energy Consumption Modeling of IEEE 802.15.4e TSCH Using Dual-Band OpenMote Hardware. - Glenn Daneels; Esteban Municio; Bruno Van de Velde; Glenn Ergeerts; Maarten Weyn; Steven Latré; Jeroen Famaey (Sensors, 2018)

Whisper: Programmable and Flexible Control on Industrial IoT Networks. - Esteban Municio; Johann Márquez-Barja; Steven Latré; Stefano Vissicchio (Sensors, 2018)

ORCHESTRA: Enabling Inter-Technology Network Management in Heterogeneous Wireless Networks. - Tom De Schepper; Patrick Bosch; Ensar Zeljkovic; Farouk Mahfoudhi; Jetmir Haxhibeqiri; Jeroen Hoebeke; Jeroen Famaey; Steven Latré (IEEE Trans. Netw. Serv. Manag., 2018)

Flow Management and Load Balancing in Dynamic Heterogeneous LANs. - Tom De Schepper; Steven Latré; Jeroen Famaey (IEEE Trans. Netw. Serv. Manag., 2018)

Coordinated Service Composition and Embedding of 5G Location-Constrained Network Functions. - Bart Spinnewyn; Pedro Heleno Isolani; Carlos Donato; Juan Felipe Botero; Steven Latré (IEEE Trans. Netw. Serv. Manag., 2018)

Traffic Management for Cloud Federation. - 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; et al. (Autonomous Control for a Reliable Internet of Services, 2018)

Efficient Recurrent Low-Latency Scheduling in IEEE 802.15.4e TSCH Networks. - Glenn Daneels; Steven Latré; Jeroen Famaey (BlackSeaCom, 2019)

Scientific Machine Learning: Towards Predictive Closed-Form Models. - Dimitri Papadimitriou; Steven Latré (BNAIC/BENELEARN, 2019)

HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. - Jakob Struye; Kevin Mets; Steven Latré (BNAIC/BENELEARN, 2019)

A semi-supervised learning approach towards automatic wireless technology recognition. - Miguel Camelo; Adnan Shahid; Jaron Fontaine; Felipe Augusto Pereira de Figueiredo; Eli De Poorter; Ingrid Moerman; Steven Latré (DySPAN, 2019)

Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach. - Spilios Giannoulis; Michael T. Mehari; Adnan Shahid; Dragoslav Stojadinovic; Maxim Claeys; Farouk Mahfoudhi; Wei Liu 019; Ivan Seskar; Steven Latré; Ingrid Moerman; Carlos Donato; Ruben Mennes; et al. (DySPAN, 2019)

Effective NFV Orchestration for Wide-Ranging Services Across Heterogeneous Cloud Networks. - Bart Spinnewyn; Juan Felipe Botero; Carlos Donato; Steven Latré (IM, 2019)

SDN-based Slice Orchestration and MAC Management for QoS delivery in IEEE 802.11 Networks. - Pedro Heleno Isolani; Nelson Cardona; Carlos Donato; Johann Márquez-Barja; Lisandro Zambenedetti Granville; Steven Latré (SDS, 2019)

IEEE 802.11 Latency Modeling with Non-IEEE 802.11 Interfering Source. - Patrick Bosch; Steven Latré; Chris Blondia (WWIC, 2019)

Deep Learning-Based Spectrum Prediction Collision Avoidance for Hybrid Wireless Environments. - Ruben Mennes; Maxim Claeys; Felipe A. P. de Figueiredo; Irfan Jabandzic; Ingrid Moerman; Steven Latré (IEEE Access, 2019)

A Survey on the Programmability of Wireless MAC Protocols. - Pedro Heleno Isolani; Maxim Claeys; Carlos Donato; Lisandro Zambenedetti Granville; Steven Latré (IEEE Commun. Surv. Tutorials, 2019)

Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (CoRR, 2019)

Simulating 6TiSCH networks. - Esteban Municio; Glenn Daneels; Malisa Vucinic; Steven Latré; Jeroen Famaey; Yasuyuki Tanaka; Keoma Brun-Laguna; Kazushi Muraoka; Xavier Vilajosana; Thomas Watteyne (Trans. Emerg. Telecommun. Technol., 2019)

IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data. - Abdelhak Kharbouch; Youssef NaitMalek; Hamza Elkhoukhi; Mohamed Bakhouya; Vincenzo De Florio; Moulay Driss El Ouadghiri; Steven Latré; Chris Blondia (Int. J. Distributed Syst. Technol., 2019)

Continuous Athlete Monitoring in Challenging Cycling Environments Using IoT Technologies. - Esteban Municio; Glenn Daneels; Mathias De Brouwer; Femke Ongenae; Filip De Turck; Bart Braem; Jeroen Famaey; Steven Latré (IEEE Internet Things J., 2019)

Optimization-Oriented RAW Modeling of IEEE 802.11ah Heterogeneous Networks. - Le Tian 002; Elena López-Aguilera; Eduard Garcia Villegas; Michael Tetemke Mehari; Eli De Poorter; Steven Latré; Jeroen Famaey (IEEE Internet Things J., 2019)

Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah. - Le Tian 002; Michael T. Mehari; Serena Santi; Steven Latré; Eli De Poorter; Jeroen Famaey (Pervasive Mob. Comput., 2019)

ABRAHAM: Machine Learning Backed Proactive Handover Algorithm Using SDN. - Ensar Zeljkovic; Nina Slamnik-Krijestorac; Steven Latré; Johann M. Márquez-Barja (IEEE Trans. Netw. Serv. Manag., 2019)

Leveraging Distributed Protocols for full End-to-End Softwarization in IoT Networks. - Esteban Municio; Niels Balemans; Steven Latré; Johann Márquez-Barja (CCNC, 2020)

Leveraging Mobile Edge Computing to Improve Vehicular Communications. - Nina Slamnik-Krijestorac; Henrique Cesar Carvalho de Resende; Carlos Donato; Steven Latré; Roberto Riggio; Johann Márquez-Barja (CCNC, 2020)

Augmented Wi-Fi: An AI-based Wi-Fi Management Framework for Wi-Fi/LTE Coexistence. - Paola Soto; Miguel Camelo; Jaron Fontaine; Merkebu Girmay; Adnan Shahid; Vasilis Maglogiannis; Eli De Poorter; Ingrid Moerman; Juan Felipe Botero; Steven Latré (CNSM, 2020)

Language Grounded Task-Adaptation in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (ESANN, 2020)

Detection of traffic patterns in the radio spectrum for cognitive wireless network management. - Miguel Camelo; Tom De Schepper; Paola Soto; Johann Márquez-Barja; Jeroen Famaey; Steven Latré (ICC, 2020)

Towards Slot Bonding for Adaptive MCS in IEEE 802.15.4e TSCH Networks. - Glenn Daneels; Carmen Delgado; Steven Latré; Jeroen Famaey (ICC, 2020)

Analyzing the impact of VIM systems over the MEC management and orchestration in vehicular communications. - Nina Slamnik-Krijestorac; Michaël Peeters; Steven Latré; Johann M. Márquez-Barja (ICCCN, 2020)

Whispering to Industrial IoT for converging multi-domain Network Programmability. - Esteban Municio; Steven Latré; Johann M. Márquez-Barja (INFOCOM Workshops, 2020)

An SDN-based Framework for Slice Orchestration using In-Band Network Telemetry in IEEE 802.11. - Pedro Heleno Isolani; Jetmir Haxhibeqiri; Ingrid Moerman; Jeroen Hoebeke; Johann M. Márquez-Barja; Lisandro Zambenedetti Granville; Steven Latré (NetSoft, 2020)

A Dynamic Spectrum Footprint Adaptation Framework for Collaborative Spectrum Sharing. - Ruben Mennes; Jakob Struye; Carlos Donato; Steven Latré (NOMS, 2020)

Multi-technology Management of Heterogeneous Wireless Networks. - Tom De Schepper; Jeroen Famaey; Steven Latré (NOMS, 2020)

A Machine Learning Approach for Road Cycling Race Performance Prediction. - Leonid Kholkine; Tom De Schepper; Tim Verdonck; Steven Latré (MLSA@PKDD/ECML, 2020)

Software-Defined Vehicular Networking: Opportunities and Challenges. - Nelson Cardona; Estefanía Coronado; Steven Latré; Roberto Riggio; Johann M. Márquez-Barja (IEEE Access, 2020)

Multi-Agent Deep Learning for Multi-Channel Access in Slotted Wireless Networks. - Ruben Mennes; Felipe A. P. de Figueiredo; Steven Latré (IEEE Access, 2020)

Service Orchestration in NFV-Based Traditional and Emerging Cloud Environments: State of the Art and Research Challenges. - Bart Spinnewyn; Steven Latré; Juan Felipe Botero (IEEE Commun. Mag., 2020)

An analytical model for IEEE 802.11 with non-IEEE 802.11 interfering source. - Patrick Bosch; Steven Latré; Chris Blondia (Comput. Networks, 2020)

Delay-constrained NFV orchestration for heterogeneous cloud networks. - Bart Spinnewyn; Steven Latré; Juan Felipe Botero (Comput. Networks, 2020)

Orchestration of heterogeneous wireless networks: State of the art and remaining challenges. - Patrick Bosch; Tom De Schepper; Ensar Zeljkovic; Jeroen Famaey; Steven Latré (Comput. Commun., 2020)

Neurosciences and 6G: Lessons from and Needs of Communicative Brains. - 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 (CoRR, 2020)

Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (CoRR, 2020)

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data. - Bart Bussmann; Jannes Nys; Steven Latré (CoRR, 2020)

Airtime-Based Resource Allocation Modeling for Network Slicing in IEEE 802.11 RANs. - Pedro Heleno Isolani; Nelson Cardona; Carlos Donato; Guillermo A. Pérez 001; Johann M. Márquez-Barja; Lisandro Zambenedetti Granville; Steven Latré (IEEE Commun. Lett., 2020)

Traffic classification at the radio spectrum level using deep learning models trained with synthetic data. - Tom De Schepper; Miguel Camelo; Jeroen Famaey; Steven Latré (Int. J. Netw. Manag., 2020)

Hierarchical temporal memory and recurrent neural networks for time series prediction: An empirical validation and reduction to multilayer perceptrons. - Jakob Struye; Steven Latré (Neurocomputing, 2020)

Parallel Reinforcement Learning With Minimal Communication Overhead for IoT Environments. - Miguel Camelo; Maxim Claeys; Steven Latré (IEEE Internet Things J., 2020)

ORCHESTRA: Supercharging Wireless Backhaul Networks Through Multi-technology Management. - Tom De Schepper; Patrick Bosch; Jakob Struye; Carlos Donato; Jeroen Famaey; Steven Latré (J. Netw. Syst. Manag., 2020)

Scalable Load Balancing and Flow Management in Dynamic Heterogeneous Wireless Networks. - Tom De Schepper; Steven Latré; Jeroen Famaey (J. Netw. Syst. Manag., 2020)

Collaborative Flow Control in the DARPA Spectrum Collaboration Challenge. - Ruben Mennes; Jakob Struye; Carlos Donato; Miguel Camelo; Irfan Jabandzic; Spilios Giannoulis; Ingrid Moerman; Steven Latré (IEEE Trans. Netw. Serv. Manag., 2020)

An AI-Based Incumbent Protection System for Collaborative Intelligent Radio Networks. - Miguel Camelo; Ruben Mennes; Adnan Shahid; Jakob Struye; Carlos Donato; Irfan Jabandzic; Spilios Giannoulis; Farouk Mahfoudhi; Prasanthi Maddala; Ivan Seskar; Ingrid Moerman; Steven Latré (IEEE Wirel. Commun., 2020)

Reliability Models for Multi-Objective Design Problems. - Dimitri Papadimitriou; Steven Latré; Artur Tomaszewski (Guide to Disaster-Resilient Communication Networks, 2020)

Lane Marking Detection Techniques for Autonomous Driving. - Ahmed N. Ahmed; Ali Anwar 002; Sven Eckelmann; Toralf Trautmann; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Quality-Aware Compression of Point Clouds with Google Draco. - Jens de Hoog; Ahmed N. Ahmed; Ali Anwar 002; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Autonomous Building Control Using Offline Reinforcement Learning. - Jorren Schepers; Reinout Eyckerman; Furkan Elmaz; Wim Casteels; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Transfer Learning in Autonomous Driving Using Real-World Samples. - Arne Troch; Jens de Hoog; Simon Vanneste; Dieter Balemans; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. - Simon Vanneste; Gauthier de Borrekens; Stig Bosmans; Astrid Vanneste; Kevin Mets; Siegfried Mercelis; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. - Astrid Vanneste; Wesley Van Wijnsberghe; Simon Vanneste; Kevin Mets; Siegfried Mercelis; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. - Mattias Billast; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Task Independent Capsule-Based Agents for Deep Q-Learning. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (BNAIC/BENELEARN, 2021)

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. - Bart Bussmann; Jannes Nys; Steven Latré (DS, 2021)

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop. - Reinout Eyckerman; Philippe Reiter; Siegfried Mercelis; Steven Latré; Johann Márquez-Barja; Peter Hellinckx (ICTC, 2021)

FF-GAT: Feature Fusion Using Graph Attention Networks. - Ahmed N. Ahmed; Ali Anwar 002; Siegfried Mercelis; Steven Latré; Peter Hellinckx (IECON, 2021)

S2L-SLAM: Sensor Fusion Driven SLAM using Sonar, LiDAR and Deep Neural Networks. - Niels Balemans; Peter Hellinckx; Steven Latré; Philippe Reiter; Jan Steckel (IEEE SENSORS, 2021)

When Deep Learning May Not Be The Right Tool For Traffic Classification. - Kleidi Ismailaj; Miguel Camelo; Steven Latré (IM, 2021)

Delay-aware Slicing and MAC Management using MCDA in IEEE 802.11 SD-RANs. - Pedro Heleno Isolani; Daniel J. Kulenkamp; Johann M. Márquez-Barja; Lisandro Zambenedetti Granville; Steven Latré; Violet R. Syrotiuk (IM, 2021)

Supply temperature control of a heating network with reinforcement learning. - Sara Ghane; Stef Jacobs; Wim Casteels; Christian Brembilla; Siegfried Mercelis; Steven Latré; Ivan Verhaert; Peter Hellinckx (ISC2, 2021)

Disagreement Options: Task Adaptation Through Temporally Extended Actions. - Matthias Hutsebaut-Buysse; Tom De Schepper; Kevin Mets; Steven Latré (ECML/PKDD (1), 2021)

Low Cost Player Tracking in Field Hockey. - Henrique Duarte Moura; Leonid Kholkine; Laurens Van Damme; Kevin Mets; Christiaan Leysen; Tom De Schepper; Peter Hellinckx; Steven Latré (MLSA@PKDD/ECML, 2021)

Towards Autonomous VNF Auto-scaling using Deep Reinforcement Learning. - Paola Soto; Danny De Vleeschauwer; Miguel Camelo; Yorick De Bock; Koen De Schepper; Chia-Yu Chang; Peter Hellinckx; Juan Felipe Botero; Steven Latré (SDS, 2021)

Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications. - 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 (IEEE Commun. Surv. Tutorials, 2021)

An optimized application-context relocation approach for Connected and Automated Mobility (CAM). - Nina Slamnik-Krijestorac; Steven Latré; Johann M. Márquez-Barja (CoRR, 2021)

A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark. - Amber Cassimon; Reinout Eyckerman; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 2021)

Slot Bonding for Adaptive Modulations in IEEE 802.15.4e TSCH Networks. - Glenn Daneels; Carmen Delgado; Robbe Elsas; Eli De Poorter; Steven Latré; Chris Blondia; Jeroen Famaey (IEEE Internet Things J., 2021)

Parent and PHY Selection in Slot Bonding IEEE 802.15.4e TSCH Networks. - Glenn Daneels; Dries Van Leemput; Carmen Delgado; Eli De Poorter; Steven Latré; Jeroen Famaey (Sensors, 2021)

Support for 5G Mission-Critical Applications in Software-Defined IEEE 802.11 Networks. - Pedro Heleno Isolani; Daniel J. Kulenkamp; Johann M. Márquez-Barja; Lisandro Zambenedetti Granville; Steven Latré; Violet R. Syrotiuk (Sensors, 2021)

ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. - Paola Soto; Miguel Camelo; Kevin Mets; Francesc Wilhelmi; David Góez; Luis Alejandro Fletscher; Natalia Gaviria; Peter Hellinckx; Juan Felipe Botero; Steven Latré (Sensors, 2021)

Extending Network Programmability to the Things Overlay Using Distributed Industrial IoT Protocols. - Esteban Municio; Steven Latré; Johann M. Márquez-Barja (IEEE Trans. Ind. Informatics, 2021)

Enhancement of road weather services using vehicle sensor data. - Toon Bogaerts; Sylvain Watelet; Chris Thoen; Tom Coopman; Joris Van den Bergh; Maarten Reyniers; Dirck Seynaeve; Wim Casteels; Steven Latré; Peter Hellinckx (CCNC, 2022)

Requirements and Specifications for the Orchestration of Network Intelligence in 6G. - Miguel Camelo; Luca Cominardi; Marco Gramaglia; Marco Fiore 001; Andres Garcia-Saavedra; Lidia Fuentes; Danny De Vleeschauwer; Paola Soto-Arenas; Nina Slamnik-Krijestorac; Joaquín Ballesteros; Chia-Yu Chang; Gabriele Baldoni; et al. (CCNC, 2022)

Building Realistic Experimentation Environments for AI-enhanced Management and Orchestration (MANO) of 5G and beyond V2X systems. - Nina Slamnik-Krijestorac; Miguel Camelo Botero; Luca Cominardi; Steven Latré; Johann M. Márquez-Barja (CCNC, 2022)

Realistic Experimentation Environments for Intelligent and Distributed Management and Orchestration (MANO) in 5G and beyond. - Nina Slamnik-Krijestorac; Paola Soto-Arenas; Miguel Camelo Botero; Luca Cominardi; Steven Latré; Johann M. Márquez-Barja (CCNC, 2022)

DAEMON: A Network Intelligence Plane for 6G Networks. - Miguel Camelo; Marco Gramaglia; Paola Soto; Lidia Fuentes; Joaquín Ballesteros; Antonio Bazco Nogueras; Gines Garcia-Aviles; Steven Latré; Andres Garcia-Saavedra; Marco Fiore 001 (GLOBECOM (Workshops), 2022)

Object Detection To Enable Autonomous Vessels On European Inland Waterways. - Mattias Billast; Robin Janssens; Astrid Vanneste; Simon Vanneste; Olivier Vasseur; Ali Anwar 002; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré; Peter Hellinckx (IECON, 2022)

Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation. - Reinout Eyckerman; Philippe Reiter; Steven Latré; Johann Márquez-Barja; Peter Hellinckx (NOMS, 2022)

Deep Set Conditioned Latent Representations for Action Recognition. - Akash Singh; Tom De Schepper; Kevin Mets; Peter Hellinckx; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 2022)

A Methodology to Design Quantized Deep Neural Networks for Automatic Modulation Recognition. - David Góez; Paola Soto; Steven Latré; Natalia Gaviria; Miguel Camelo (Algorithms, 2022)

An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. - Astrid Vanneste; Simon Vanneste; Kevin Mets; Tom De Schepper; Siegfried Mercelis; Steven Latré; Peter Hellinckx (CoRR, 2022)

Structured Exploration Through Instruction Enhancement for Object Navigation. - Matthias Hutsebaut-Buysse; Kevin Mets; Tom De Schepper; Steven Latré (CoRR, 2022)

ALPACA: A PCI Assignment Algorithm Taking Advantage of Weighted ANR. - Ensar Zeljkovic; Dimitris Gogos; Gerwin Dox; Steven Latré; Johann M. Márquez-Barja (J. Netw. Syst. Manag., 2022)

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. - Matthias Hutsebaut-Buysse; Kevin Mets; Steven Latré (Mach. Learn. Knowl. Extr., 2022)

Leveraging Artificial Intelligence and Fleet Sensor Data towards a Higher Resolution Road Weather Model. - 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 (Sensors, 2022)

A General Approach for Traffic Classification in Wireless Networks Using Deep Learning. - Miguel Camelo; Paola Soto; Steven Latré (IEEE Trans. Netw. Serv. Manag., 2022)

An ML-driven framework for edge orchestration in a vehicular NFV MANO environment. - Nina Slamnik-Krijestorac; Miguel Camelo Botero; Luca Cominardi; Steven Latré; Johann M. Márquez-Barja (CCNC, 2023)

Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning. - Julian Jimenez; Paola Soto; Danny De Vleeschauwer; Chia-Yu Chang; Yorick De Bock; Steven Latré; Miguel Camelo (CNSM, 2023)

Directed Real-World Learned Exploration. - Matthias Hutsebaut-Buysse; Ferran Gebelli Guinjoan; Erwin Rademakers; Steven Latré; Abdellatif Bey-Temsamani; Kevin Mets; Erik Mannens; Tom De Schepper (IROS, 2023)

Human Motion Prediction on the IKEA-ASM Dataset. - Mattias Billast; Kevin Mets; Tom De Schepper; José Oramas; Steven Latré (VISIGRAPP (5: VISAPP), 2023)

Co-learning synaptic delays, weights and adaptation in spiking neural networks. - Lucas Deckers; Laurens Van Damme; Ing Jyh Tsang; Werner Van Leekwijck; Steven Latré (CoRR, 2023)

SD-RAN Interactive Management Using In-band Network Telemetry in IEEE 802.11 Networks. - Pedro Heleno Isolani; Jetmir Haxhibeqiri; Ingrid Moerman; Jeroen Hoebeke; Lisandro Z. Granville; Steven Latré; Johann M. Márquez-Barja (J. Netw. Syst. Manag., 2023)

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era. - Nina Slamnik-Krijestorac; Miguel Camelo; Chia-Yu Chang; Paola Soto; Luca Cominardi; Danny De Vleeschauwer; Steven Latré; Johann M. Márquez-Barja (IEEE Netw., 2023)

Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. - Arie-Willem de Leeuw; Mathieu Heijboer; Tim Verdonck; Arno J. Knobbe; Steven Latré (Data Min. Knowl. Discov., 2023)

Network Intelligence for NFV Scaling in Closed-Loop Architectures. - Paola Soto; Miguel Camelo; Danny De Vleeschauwer; Yorick De Bock; Chia-Yu Chang; Juan Felipe Botero; Steven Latré (IEEE Commun. Mag., 2023)

Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence. - Laura Smets; Werner Van Leekwijck; Ing Jyh Tsang; Steven Latré (Neural Comput., 2023)

Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography. - Steven Mortier; Renata Turkes; Jorg De Winne; Wannes Van Ransbeeck; Dick Botteldooren; Paul Devos; Steven Latré; Marc Leman; Tim Verdonck (Sensors, 2023)

Computational Efficiency of Deep Learning-Based Super Resolution Methods for 5G-NR Channel Estimation. - David Góez; Esra Aycan Beyazit; Nina Slamnik-Krijestorac; Johann M. Márquez-Barja; Natalia Gaviria; Steven Latré; Miguel Camelo (LATINCOM, 2024)

Integrating AI Orchestration and Lifecycle Management in 6G Networks: A Pipeline Approach. - Julian Jimenez; Andreas Gavrielides; Nina Slamnik-Krijestorac; Steven Latré; Johann M. Márquez-Barja; Miguel Camelo (LATINCOM, 2024)

Designing, Developing, and Validating Network Intelligence for Scaling in Service-Based Architectures based on Deep Reinforcement Learning. - 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 (CoRR, 2024)

Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization. - Lucas Deckers; Benjamin Vandersmissen; Ing Jyh Tsang; Werner Van Leekwijck; Steven Latré (CoRR, 2024)

Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning. - Steven Mortier; Amir Hamedpour; Bart Bussmann; Ruth Phoebe Tchana Wandji; Steven Latré; Bjarni D. Sigurdsson; Tom De Schepper; Tim Verdonck (Ecol. Informatics, 2024)

An encoding framework for binarized images using hyperdimensional computing. - Laura Smets; Werner Van Leekwijck; Ing Jyh Tsang; Steven Latré (Frontiers Big Data, 2024)

Resource-Efficient Spectrum-Based Traffic Classification on Constrained Devices. - David Góez; Esra Aycan Beyazit; Luis Alejandro Fletscher; Juan Felipe Botero; Natalia Gaviria; Steven Latré; Miguel Camelo (IEEE Open J. Commun. Soc., 2024)

Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring. - Thomas Decorte; Steven Mortier; Jonas J. Lembrechts; Filip J. R. Meysman; Steven Latré; Erik Mannens; Tim Verdonck (Sensors, 2024)

Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning. - Louis Bagot; Lucas Nunes Alegre; Steven Latré; Kevin Mets; Bruno Castro da Silva (Trans. Mach. Learn. Res., 2025)

GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem. - Louis Bagot; Lynn D'eer; Steven Latré; Tom De Schepper; Kevin Mets (Neural Comput. Appl., 2025)