Roy Assaf

13 papers A* 4Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training.
Trans. Mach. Learn. Res.
Brown Ebouky, Ajad Chhatkuli, A. Cristiano I. Malossi, Christoph Studer, Roy Assaf, Andrea Bartezzaghi
2025 J jnl
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training.
CoRR
Brown Ebouky, Ajad Chhatkuli, Cristiano Malossi, Christoph Studer, Roy Assaf, Andrea Bartezzaghi
2025 J jnl
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.
CoRR
Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, Cristiano Malossi, Konrad Schindler, Roy Assaf
2025 J jnl
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation.
Trans. Mach. Learn. Res.
Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, A. Cristiano I. Malossi, Konrad Schindler, Roy Assaf
2025 J jnl
VP Lab: a PEFT-Enabled Visual Prompting Laboratory for Semantic Segmentation.
CoRR
Niccolò Avogaro, Thomas Frick, Yagmur Gizem Cinar, Daniel Caraballo, Cezary Skura, Filip Janicki, Piotr Kluska, Brown Ebouky, Nicola Farronato, Florian Scheidegger, Cristiano Malossi, Konrad Schindler, Andrea Bartezzaghi, Roy Assaf, Mattia Rigotti
2024 A* conf
Probabilistic Feature Matching for Fast Scalable Visual Prompting.
IJCAI
Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolò Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti
2020 A* conf
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems.
IJCAI
Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann
2019 A* conf
Explainable Deep Neural Networks for Multivariate Time Series Predictions.
IJCAI
Roy Assaf, Anika Schumann
2019 A* conf
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks.
ICDM
Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann
2019 J jnl
Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies.
Reliab. Eng. Syst. Saf.
Phuc Do, Roy Assaf, Philip A. Scarf, Benoît Iung
2017 — conf
Diagnosis for systems with multi-component wear interactions.
ICPHM
Roy Assaf, Phuc Do, Philip Scarf, Samia Nefti-Meziani
2017 — conf
Towards a practical implementation of EIT-based sensors using artificial neural networks.
IEEE SENSORS
Stefania Russo, Roy Assaf, Samia Nefti-Meziani
2017 — conf
Unsupervised learning for improving fault detection in complex systems.
AIM
Roy Assaf, Samia Nefti-Meziani, Philip A. Scarf