Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT. - Haining Zheng; Antonio R. Paiva; Christopher S. Gurciullo (CoRR, 2020)

Assessing Machine Learning Approaches to Address IoT Sensor Drift. - Haining Zheng; Antonio R. Paiva (CoRR, 2021)

Modeling and mitigation of occupational safety risks in dynamic industrial environments. - Ashutosh Tewari; Antonio R. Paiva (CoRR, 2022)

Inferring Microbial Biomass Yield and Cell Weight Using Probabilistic Macrochemical Modeling. - Antonio R. Paiva; Giovanni Pilloni (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. - Antonio R. Paiva; Weichang Li; Chris A. Mattmann; Youzuo Lin; Maarten V. de Hoop (IEEE Trans. Neural Networks Learn. Syst., 2023)

Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios. - Han Wang 024; Yuneil Yeo; Antonio R. Paiva; Jean Utke; Maria Laura Delle Monache (CoRR, 2025)