Roy Assaf  Roy Assaf photo         

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Researcher - Deep Learning, Predictive Analytics
Zurich Research Laboratory, Zurich, Switzerland
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2020

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


2019

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


2018

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


2017

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


2016

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