Michael Weiss

According to our database, Michael Weiss authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report.

Michael Weiss, Paolo Tonella

ACM Trans. Softw. Eng. Methodol., January, 2024

Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks.

Michael Weiss, Paolo Tonella

ACM Trans. Softw. Eng. Methodol., January, 2024

2023

Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing.

Michael Weiss, André García Gómez, Paolo Tonella

Empir. Softw. Eng., November, 2023

Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines.

Michael Weiss, Paolo Tonella

Softw. Test. Verification Reliab., September, 2023

2022

A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity.

Michael Weiss, André García Gómez, Paolo Tonella

CoRR, 2022

CheapET-3: cost-efficient use of remote DNN models.

Michael Weiss

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study).

Michael Weiss, Paolo Tonella

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification.

Michael Weiss, Paolo Tonella

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring.

Michael Weiss, Paolo Tonella

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

A Review and Refinement of Surprise Adequacy.

Michael Weiss, Rwiddhi Chakraborty, Paolo Tonella

Proceedings of the 3rd IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2021

2020

Testing machine learning based systems: a systematic mapping.

Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella

Empir. Softw. Eng., 2020

Misbehaviour prediction for autonomous driving systems.

Andrea Stocco, Michael Weiss, Marco Calzana, Paolo Tonella

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2017

SATS: A Universal Spectrum Auction Test Suite.

Michael Weiss, Benjamin Lubin, Sven Seuken

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2015

The Power of Local Manipulation Strategies in Assignment Mechanisms.

Timo Mennle, Michael Weiss, Basil Philipp, Sven Seuken

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015