Roy Assaf  Roy Assaf photo         

contact information

Researcher - Deep Learning, Predictive Analytics
Zurich Research Laboratory, Zurich, Switzerland



An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems
Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20, pp. 5228--5230, International Joint Conferences on Artificial Intelligence Organization, 2020


MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks
Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann
2019 IEEE International Conference on Data Mining (ICDM), pp. 952--957

Explainable deep neural networks for multivariate time series predictions
Roy Assaf, Anika Schumann
28th International Joint Conference on Artificial Intelligence (IJCAI), pp. 6488--6490, 2019

Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies
Phuc Do, Roy Assaf, Phil Scarf, Benoit Iung
Reliability Engineering \& System Safety182, 86--97, Elsevier, 2019


Wear rate--state interactions within a multi-component system: a study of a gearbox-accelerated life testing platform
Roy Assaf, Phuc Do, Samia Nefti-Meziani, Philip Scarf
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232(4), 425--434, SAGE Publications Sage UK: London, England, 2018

Touch position detection in electrical tomography tactile sensors through quadratic classifier
Stefania Russo, Roy Assaf, Nicola Carbonaro, Alessandro Tognetti
IEEE Sensors Journal 19(2), 474--483, IEEE, 2018


Towards a practical implementation of EIT-based sensors using artificial neural networks
S. Russo, R. Assaf, S. Nefti-Meziani
2017 IEEE SENSORS, pp. 1-3

Diagnosis for systems with multi-component wear interactions
Roy Assaf, Phuc Do, Philip Scarf, Samia Nefti-Meziani
2017 IEEE International Conference on Prognostics and Health Management (ICPHM), pp. 96--102

Unsupervised learning for improving fault detection in complex systems
Roy Assaf, Samia Nefti-Meziani, P Scarf
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 1058--1064


Wear rate-state interaction modelling for a multi-component system: Models and an experimental platform
Roy Assaf, Phuc Do, Phil Scarf, Samia Nefti-Meziani
IFAC-PapersOnLine 49(28), 232--237, Elsevier, 2016