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Philippe Reiter
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2020 – today
- 2024
- [c9]Salah Eddine Merzougui
, Xhulio Limani, Andreas Gavrielides
, Philippe Reiter, Claudio E. Palazzi, Johann Márquez-Barja
:
Leveraging Edge Computing and Orchestration Platform for Enhanced Pedestrian Safety Application: The DEDICAT-6G Approach. CCNC 2024: 380-383 - [c8]Dieter Balemans
, Benjamin Vandersmissen, Jan Steckel
, Siegfried Mercelis, Philippe Reiter, José Oramas
:
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP 2024: 575-584 - [c7]Benjamin Vandersmissen, Arian Sabaghi, Philippe Reiter, José Oramas
:
Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector. VISIGRAPP (4): VISAPP 2024: 593-600 - 2023
- [j2]Jens de Hoog
, Ali Anwar, Philippe Reiter
, Siegfried Mercelis
, Peter Hellinckx
:
Metamodelling of Noise to Image Classification Performance. IEEE Access 11: 47994-48006 (2023) - [c6]Niels Balemans
, Lucas Hooft, Philippe Reiter, Ali Anwar, Jan Steckel
, Siegfried Mercelis
:
R2L-SLAM: Sensor Fusion-Driven SLAM Using mmWave Radar, LiDAR and Deep Neural Networks. SENSORS 2023: 1-4 - [c5]Justus Rajappa Anuj
, Adnan Sabovic, Burcu Celikkol
, Michiel Aernouts, Philippe Reiter, Siegfried Mercelis
, Peter Hellinckx
, Jeroen Famaey:
An Energy Management Unit for Predictive Solar Energy Harvesting IoT. IoTBDS 2023: 39-50 - [i3]Abanoub Ghobrial, Samuel Budgett, Dieter Balemans, Hamid Asgari, Philippe Reiter, Kerstin Eder:
Evaluation Metrics for DNNs Compression. CoRR abs/2305.10616 (2023) - 2022
- [j1]Dieter Balemans
, Philippe Reiter, Jan Steckel
, Peter Hellinckx
:
Resource efficient AI: Exploring neural network pruning for task specialization. Internet Things 20: 100599 (2022) - [c4]Henrique Cesar Carvalho de Resende, João Francisco Nunes Pinheiro, Philippe Reiter, Cristiano Bonato Both
, Johann M. Márquez-Barja
:
4G/5G performance of a multi-RAT UAV for medical parcel delivery. CCNC 2022: 268-271 - [c3]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 - 2021
- [c2]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 - [c1]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 - 2020
- [i2]Philippe Reiter, Geet Rose Jose, Spyridon Bizmpikis, Ionela-Ancuta Cîrjila:
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking. CoRR abs/2007.05606 (2020) - [i1]Philippe Reiter:
Cloud Detection through Wavelet Transforms in Machine Learning and Deep Learning. CoRR abs/2007.13678 (2020)
Coauthor Index

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