Michael Weiss

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Interactive Data Mining

Auction Protocol

Top Venues

ACM Trans. Softw. Eng. Methodol.

Empir. Softw. Eng.

Publications

Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Michael Weiss, André García Gómez, Paolo Tonella
Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing. Empir. Softw. Eng. 28 (6) (2023)
Michael Weiss, Paolo Tonella
Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines. Softw. Test. Verification Reliab. 33 (6) (2023)
Michael Weiss, Paolo Tonella
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. CoRR (2023)
Michael Weiss, André García Gómez, Paolo Tonella
A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity. CoRR (2022)
Michael Weiss, Paolo Tonella
Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). ISSTA (2022)
Michael Weiss, Paolo Tonella
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study). CoRR (2022)
Michael Weiss, Paolo Tonella
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines. CoRR (2022)
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
A Review and Refinement of Surprise Adequacy. DeepTest@ICSE (2021)
Michael Weiss, Paolo Tonella
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. CoRR (2021)
Michael Weiss, Paolo Tonella
Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. ICST (2021)
Michael Weiss, Paolo Tonella
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. CoRR (2021)
Michael Weiss, Paolo Tonella
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. ICST (2021)
Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella
A Review and Refinement of Surprise Adequacy. CoRR (2021)
Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella
Misbehaviour prediction for autonomous driving systems. ICSE (2020)
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. 25 (6) (2020)
Michael Weiss, Benjamin Lubin, Sven Seuken
SATS: A Universal Spectrum Auction Test Suite. AAMAS (2017)
Timo Mennle, Michael Weiss, Basil Philipp, Sven Seuken
The Power of Local Manipulation Strategies in Assignment Mechanisms. IJCAI (2015)