Resource-constrained classification using a cascade of neural network layers. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2015)

DIANNE: Distributed Artificial Neural Networks for the Internet of Things. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Sam Leroux; Pieter Simoens (M4IoT@Middleware, 2015)

Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations. - Toon De Pessemier; Sam Leroux; Kris Vanhecke; Luc Martens (INRA@RecSys, 2015)

Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Bart Dhoedt; Pieter Simoens (CloudNet, 2016)

Multi-fidelity matryoshka neural networks for constrained IoT devices. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2016)

Efficiency Evaluation of Character-level RNN Training Schedules. - Cedric De Boom; Sam Leroux; Steven Bohez; Pieter Simoens; Thomas Demeester; Bart Dhoedt (CoRR, 2016)

Lazy Evaluation of Convolutional Filters. - Sam Leroux; Steven Bohez; Cedric De Boom; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2016)

Decoupled Learning of Environment Characteristics for Safe Exploration. - Pieter Van Molle; Tim Verbelen; Steven Bohez; Sam Leroux; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

Transfer Learning with Binary Neural Networks. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

The cascading neural network: building the Internet of Smart Things. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (Knowl. Inf. Syst., 2017)

IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification. - Sam Leroux; Pavlo Molchanov 001; Pieter Simoens; Bart Dhoedt; Thomas M. Breuel; Jan Kautz (ICLR (Workshop), 2018)

Fingerprinting encrypted network traffic types using machine learning. - Sam Leroux; Steven Bohez; Pieter-Jan Maenhaut; Nathan Meheus; Pieter Simoens; Bart Dhoedt (NOMS, 2018)

Privacy Aware Offloading of Deep Neural Networks. - Sam Leroux; Tim Verbelen; Pieter Simoens; Bart Dhoedt (CoRR, 2018)

Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. - Xander Steenbrugge; Sam Leroux; Tim Verbelen; Bart Dhoedt (CoRR, 2018)

DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (J. Syst. Softw., 2018)

Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization. - Amirreza Yousefzadeh; Sahar Hosseini; Priscila C. Holanda; Sam Leroux; Thilo Werner; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco; Bart Dhoedt; Pieter Simoens (AICAS, 2019)

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity. - Amirreza Yousefzadeh; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco; Mina A. Khoei; Sahar Hosseini; Priscila C. Holanda; Sam Leroux; Orlando Moreira; Jonathan Tapson; Bart Dhoedt; Pieter Simoens (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. - Sam Leroux; Steven Bohez; Elias De Coninck; Pieter Van Molle; Bert Vankeirsbilck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Future Gener. Comput. Syst., 2019)

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. - Ozan Çatal; Sam Leroux; Cedric De Boom; Tim Verbelen; Bart Dhoedt (IROS, 2020)

Training binary neural networks with knowledge transfer. - Sam Leroux; Bert Vankeirsbilck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Neurocomputing, 2020)

Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition. - Mattijs Baert; Sam Leroux; Pieter Simoens (CoRR, 2021)

Privacy Aware Person Detection in Surveillance Data. - Sander De Coninck; Sam Leroux; Pieter Simoens (CoRR, 2021)

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video. - Bo Li 119; Sam Leroux; Pieter Simoens (Comput. Vis. Image Underst., 2021)

TinyMLOps: Operational Challenges for Widespread Edge AI Adoption. - Sam Leroux; Pieter Simoens; Meelis Lootus; Kartik Thakore; Akshay Sharma (IPDPS Workshops, 2022)

Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions. - Sam Leroux; Bo Li 119; Pieter Simoens (WACV, 2022)

Automated training of location-specific edge models for traffic counting. - Sam Leroux; Bo Li 119; Pieter Simoens (Comput. Electr. Eng., 2022)

A VM/Containerized Approach for Scaling TinyML Applications. - Meelis Lootus; Kartik Thakore; Sam Leroux; Geert Trooskens; Akshay Sharma; Holly Ly (CoRR, 2022)

Audio-guided Album Cover Art Generation with Genetic Algorithms. - James Marien; Sam Leroux; Bart Dhoedt; Cedric De Boom (CoRR, 2022)

Selective manipulation of disentangled representations for privacy-aware facial image processing. - Sander De Coninck; Wei-Cheng Wang; Sam Leroux; Pieter Simoens (CoRR, 2022)

Iterative neural networks for adaptive inference on resource-constrained devices. - Sam Leroux; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Neural Comput. Appl., 2022)

An Opt-in Framework for Privacy Protection in Audio-Based Applications. - Wei-Cheng Wang; Sander De Coninck; Sam Leroux; Pieter Simoens (IEEE Pervasive Comput., 2022)

Iterative Online 3D Reconstruction from RGB Images. - Thorsten Cardoen; Sam Leroux; Pieter Simoens (Sensors, 2022)

Learning Logic Constraints From Demonstration. - Mattijs Baert; Sam Leroux; Pieter Simoens (NeSy, 2023)

Learning Safety Constraints From Demonstration Using One-Class Decision Trees. - Mattijs Baert; Sam Leroux; Pieter Simoens (CoRR, 2023)

Sparse random neural networks for online anomaly detection on sensor nodes. - Sam Leroux; Pieter Simoens (Future Gener. Comput. Syst., 2023)

Inverse reinforcement learning through logic constraint inference. - Mattijs Baert; Sam Leroux; Pieter Simoens (Mach. Learn., 2023)

Label Efficient Lifelong Multi-View Broiler Detection. - Thorsten Cardoen; Sam Leroux; Pieter Simoens (CVPR Workshops, 2024)

Mitigating Bias Using Model-Agnostic Data Attribution. - Sander De Coninck; Sam Leroux; Pieter Simoens (CVPR Workshops, 2024)

Test-time Specialization of Dynamic Neural Networks. - Sam Leroux; Dewant Katare; Aaron Yi Ding; Pieter Simoens (CVPR Workshops, 2024)

Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications. - Sam Leroux; Stijn Vanassche; Pieter Simoens (CVPR Workshops, 2024)

Learning Temporal Task Specifications From Demonstrations. - Mattijs Baert; Sam Leroux; Pieter Simoens (EXTRAAMAS, 2024)

Mitigating Bias Using Model-Agnostic Data Attribution. - Sander De Coninck; Wei-Cheng Wang; Sam Leroux; Pieter Simoens (CoRR, 2024)

Learning Task Specifications from Demonstrations as Probabilistic Automata. - Mattijs Baert; Sam Leroux; Pieter Simoens (CoRR, 2024)

Reward Machine Inference for Robotic Manipulation. - Mattijs Baert; Sam Leroux; Pieter Simoens (CoRR, 2024)

Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data. - Wei-Cheng Wang; Sander De Coninck; Sam Leroux; Pieter Simoens (Frontiers Robotics AI, 2024)

Privacy-preserving visual analysis: training video obfuscation models without sensitive labels. - Sander De Coninck; Wei-Cheng Wang; Sam Leroux; Pieter Simoens (Appl. Intell., 2024)

Hybrid Data Fusion for Low-Cost High-Speed Monitoring in Powder Bed Fusion 3D Printing. - Brian G. Booth; Sam Leroux; Dries Verhees; Mathieu Vandecasteele; Cyril Blanc; Abdellatif Bey-Temsamani; Wilfried Philips (ICCAE, 2025)

Exploring Correlated Facial Attributes in Text-to-Image Models: Unintended Consequences in Synthetic Face Generation. - Sander De Coninck; Sam Leroux; Pieter Simoens (WACV (Workshops), 2025)

Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data. - Ciem Cornelissen; Sam Leroux; Pieter Simoens (WACV (Workshops), 2025)

Multi-camera detection and tracking for individual broiler monitoring. - Thorsten Cardoen; Patricia Soster de Carvalho; Gunther Antonissen; Frank André Maurice Tuyttens; Sam Leroux; Pieter Simoens (Comput. Electron. Agric., 2025)

Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. - Ella Peltonen; Suzan Bayhan; David Bermbach; Sebastian Buschjäger; Victoria Degeler; Aaron Yi Ding; Özlem Durmaz Incel; Dewant Katare; Mikkel Baun Kjærgaard; Sam Leroux; Toktam Mahmoodi; Zoltán Ádám Mann; et al. (IEEE Internet Comput., 2025)

Approximating vision transformers for edge: variational inference and mixed-precision for multi-modal data. - Dewant Katare; Sam Leroux; Marijn Janssen; Aaron Yi Ding (Computing, 2025)

Maximum causal entropy inverse constrained reinforcement learning. - Mattijs Baert; Pietro Mazzaglia; Sam Leroux; Pieter Simoens (Mach. Learn., 2025)

Enabling Privacy-Aware AI-Based Ergonomic Analysis. - Sander De Coninck; Emilio Gamba; Bart Van Doninck; Abdellatif Bey-Temsamani; Sam Leroux; Pieter Simoens (CoRR, 2025)

Computational fairness in adaptive neural networks. - Sam Leroux; Ciem Cornelissen; Vishisht Sharma; Pieter Simoens (Neural Comput. Appl., 2025)