Michael Weiss

21 papers A* 2A 4Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report.
ACM Trans. Softw. Eng. Methodol.
Michael Weiss, Paolo Tonella
2024 J jnl
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks.
ACM Trans. Softw. Eng. Methodol.
Michael Weiss, Paolo Tonella
2023 J jnl
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks.
CoRR
Michael Weiss, Paolo Tonella
2023 J jnl
Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing.
Empir. Softw. Eng.
Michael Weiss, André García Gómez, Paolo Tonella
2023 J jnl
Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines.
Softw. Test. Verification Reliab.
Michael Weiss, Paolo Tonella
2022 J jnl
A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity.
CoRR
Michael Weiss, André García Gómez, Paolo Tonella
2022 J jnl
CheapET-3: Cost-Efficient Use of Remote DNN Models.
CoRR
Michael Weiss
2022 — conf
CheapET-3: cost-efficient use of remote DNN models.
ESEC/SIGSOFT FSE
Michael Weiss
2022 J jnl
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study).
CoRR
Michael Weiss, Paolo Tonella
2022 A conf
Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study).
ISSTA
Michael Weiss, Paolo Tonella
2022 J jnl
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines.
CoRR
Michael Weiss, Paolo Tonella
2021 — conf
A Review and Refinement of Surprise Adequacy.
DeepTest@ICSE
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
2021 J jnl
A Review and Refinement of Surprise Adequacy.
CoRR
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
2021 A conf
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring.
ICST
Michael Weiss, Paolo Tonella
2021 J jnl
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring.
CoRR
Michael Weiss, Paolo Tonella
2021 A conf
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
ICST
Michael Weiss, Paolo Tonella
2021 J jnl
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.
CoRR
Michael Weiss, Paolo Tonella
2020 A* conf
Misbehaviour prediction for autonomous driving systems.
ICSE
Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella
2020 J jnl
Testing machine learning based systems: a systematic mapping.
Empir. Softw. Eng.
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
2017 A conf
SATS: A Universal Spectrum Auction Test Suite.
AAMAS
Michael Weiss, Benjamin Lubin, Sven Seuken
2015 A* conf
The Power of Local Manipulation Strategies in Assignment Mechanisms.
IJCAI
Timo Mennle, Michael Weiss, Basil Philipp, Sven Seuken