Roy Assaf
Roy Assaf
IBM Research Zurich
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Cited by
Cited by
Explainable Deep Neural Networks for Multivariate Time Series Predictions
R Assaf, A Schuman
International Joint Conferences on Artificial Intelligence (IJCAI), 2019
Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies
P Do, R Assaf, P Scarf, B Iung
Reliability Engineering & System Safety 182, 86-97, 2019
Mtex-cnn: Multivariate time series explanations for predictions with convolutional neural networks
R Assaf, I Giurgiu, F Bagehorn, A Schumann
2019 ieee international conference on data mining (icdm), 952-957, 2019
Touch position detection in electrical tomography tactile sensors through quadratic classifier
S Russo, R Assaf, N Carbonaro, A Tognetti
IEEE Sensors Journal 19 (2), 474-483, 2018
Wear rate–state interactions within a multi-component system: a study of a gearbox-accelerated life testing platform
R Assaf, P Do, S Nefti-Meziani, P Scarf
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2018
Wear rate-state interaction modelling for a multi-component system: Models and an experimental platform
R Assaf, P Do, P Scarf, S Nefti-Meziani
IFAC-PapersOnLine 49 (28), 232-237, 2016
Diagnosis for systems with multi-component wear interactions
R Assaf, P Do, P Scarf, S Nefti-Meziani
2017 IEEE International Conference on Prognostics and Health Management …, 2017
An anomaly detection and explainability framework using convolutional autoencoders for data storage systems
R Assaf, I Giurgiu, J Pfefferle, S Monney, H Pozidis, A Schumann
Proceedings of the Twenty-Ninth International Conference on International …, 2021
Prognostics and health management for multi-component systems
R Assaf
PQDT-UK & Ireland, 2018
Unsupervised learning for improving fault detection in complex systems
R Assaf, S Nefti-Meziani, P Scarf
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2017
Towards a practical implementation of EIT-based sensors using artificial neural networks
S Russo, R Assaf, S Nefti-Meziani
SENSORS, 2017 IEEE, 1-3, 2017
Towards Prognostics and Health Management of Multi-Component Systems with Stochastic Dependence
R Assaf, P Do, P Scarf
Multicriteria and Optimization Models for Risk, Reliability, and Maintenance …, 2012
Opportunistic Maintenance Policies for Multi-Components Systems
P Do, R Assaf, P Scarf
Multicriteria and Optimization Models for Risk, Reliability, and Maintenance …, 2012
Interactive Image Segmentation Guided by Visual Prompting
T Frick, C Skura, FM Janicki, R Assaf, N Avogaro, D Caraballo-Rivera, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Towards Workflows for the Use of AI Foundation Models in Visual Inspection Applications
M Rigotti, D Antognini, R Assaf, K Bakirci, T Frick, I Giurgiu, K Janoušková, ...
ce/papers 6 (5), 605-613, 2023
A diagnostics and prognostics framework for multi-component systems with wear interactions: application to a gearbox-platform
R Assaf, P Do, P Scarf
Pesquisa Operacional 42, e264770, 2022
MB THINKlab, MR Assaf, PJB Yang, DL Xu, X Xu
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