Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking. - Philippe Reiter; Geet Rose Jose; Spyridon Bizmpikis; Ionela-Ancuta Cîrjila (CoRR, 2020)

Cloud Detection through Wavelet Transforms in Machine Learning and Deep Learning. - Philippe Reiter (CoRR, 2020)

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)

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)

4G/5G performance of a multi-RAT UAV for medical parcel delivery. - Henrique Cesar Carvalho de Resende; João Francisco Nunes Pinheiro; Philippe Reiter; Cristiano Bonato Both; Johann M. Márquez-Barja (CCNC, 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)

Resource efficient AI: Exploring neural network pruning for task specialization. - Dieter Balemans; Philippe Reiter; Jan Steckel; Peter Hellinckx (Internet Things, 2022)

R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. - Niels Balemans; Lucas Hooft; Philippe Reiter; Ali Anwar 002; Jan Steckel; Siegfried Mercelis (SENSORS, 2023)

An Energy Management Unit for Predictive Solar Energy Harvesting IoT. - Justus Rajappa Anuj; Adnan Sabovic; Burcu Celikkol; Michiel Aernouts; Philippe Reiter; Siegfried Mercelis; Peter Hellinckx; Jeroen Famaey (IoTBDS, 2023)

Metamodelling of Noise to Image Classification Performance. - Jens de Hoog; Ali Anwar 002; Philippe Reiter; Siegfried Mercelis; Peter Hellinckx (IEEE Access, 2023)

Evaluation Metrics for DNNs Compression. - Abanoub Ghobrial; Samuel Budgett; Dieter Balemans; Hamid Asgari; Philippe Reiter; Kerstin Eder (CoRR, 2023)

Leveraging Edge Computing and Orchestration Platform for Enhanced Pedestrian Safety Application: The DEDICAT-6G Approach. - Salah Eddine Merzougui; Xhulio Limani; Andreas Gavrielides; Philippe Reiter; Claudio E. Palazzi; Johann Márquez-Barja (CCNC, 2024)

Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. - Dieter Balemans; Benjamin Vandersmissen; Jan Steckel; Siegfried Mercelis; Philippe Reiter; José Oramas (VISIGRAPP (4): VISAPP, 2024)

Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector. - Benjamin Vandersmissen; Arian Sabaghi; Philippe Reiter; José Oramas (VISIGRAPP (4): VISAPP, 2024)