Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. - Ferda Ofli; Patrick Meier; Muhammad Imran 002; Carlos Castillo 001; Devis Tuia; Rey Nicolas; Julien Briant; Pauline M. Rudd; Friedrich Reinhard; Matthew Parkan; Stéphane Joost (Big Data, 2016)

Detecting animals in African Savanna with UAVs and the crowds. - Rey Nicolas; Michele Volpi; Stéphane Joost; Devis Tuia (CoRR, 2017)

Long Distance Vital Signs Monitoring with Person Identification for Smart Home Solutions. - Maciej Szankin; Alicja Kwasniewska; Tejaswini Sirlapu; Mingshan Wang; Jacek Ruminski; Rey Nicolas; Marko Bartscherer (EMBC, 2018)

Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions. - Mingshan Wang; Tejaswini Sirlapu; Alicja Kwasniewska; Maciej Szankin; Marko Bartscherer; Rey Nicolas (HSI, 2018)

Road Condition Evaluation Using Fusion of Multiple Deep Models on Always-On Vision Processor. - Maciej Szankin; Alicja Kwasniewska; Jacek Ruminski; Rey Nicolas (IECON, 2018)

Fully Automated AI-powered Contactless Cough Detection based on Pixel Value Dynamics Occurring within Facial Regions. - Maciej Szankin; Alicja Kwasniewska; Natalia Glowacka; Jacek Ruminski; Rey Nicolas; David Gamba (HSI, 2021)

Multi-sensor Ensemble-guided Attention Network for Aerial Vehicle Perception Beyond Visible Spectrum. - Alicja Kwasniewska; Anastacia MacAllister; Rey Nicolas; Javier Garzás (CVPR Workshops, 2023)