Manuel Arias Chao

17 papers Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A benchmark on uncertainty quantification for deep learning prognostics. Reliab. Eng. Syst. Saf. Luis Basora, Arthur Viens, Manuel Arias Chao, Xavier Olive
2025	J	`jnl`	Label synchronization strategies for hybrid federated learning. Reliab. Eng. Syst. Saf. Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, Melania Albisser, Martin H. Brutsche, Manuel Arias Chao
2024	J	`jnl`	Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning. CoRR Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
2024	J	`jnl`	Health index estimation through integration of general knowledge with unsupervised learning. Reliab. Eng. Syst. Saf. Kristupas Bajarunas, Marcia Lourenco Baptista, Kai Goebel, Manuel Arias Chao
2023	J	`jnl`	A Benchmark on Uncertainty Quantification for Deep Learning Prognostics. CoRR Luis Basora, Arthur Viens, Manuel Arias Chao, Xavier Olive
2023	—	`conf`	Physics-Informed Machine Learning for Predictive Maintenance: Applied Use-Cases. SDS Lilach Goren Huber, Thomas Palmé, Manuel Arias Chao
2022	J	`jnl`	Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
2021	J	`jnl`	Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
2021	—	`—`	Combining Deep Learning and Physics-Based Performance Models for Diagnostics and Prognostics. Manuel Arias Chao
2021	J	`jnl`	Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders. Neurocomputing Manuel Arias Chao, Bryan T. Adey, Olga Fink
2021	J	`jnl`	Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
2021	J	`jnl`	Uncertainty-aware Remaining Useful Life predictor. CoRR Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink
2020	J	`jnl`	Battery Model Calibration with Deep Reinforcement Learning. CoRR Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink
2020	J	`jnl`	Fusing Physics-based and Deep Learning Models for Prognostics. CoRR Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
2020	J	`jnl`	Real-Time Model Calibration with Deep Reinforcement Learning. CoRR Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
2019	J	`jnl`	Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. CoRR Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink
2019	J	`jnl`	Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. CoRR Manuel Arias Chao, Bryan T. Adey, Olga Fink