The Power of Local Manipulation Strategies in Assignment Mechanisms. - Timo Mennle; Michael Weiss 004; Basil Philipp; Sven Seuken (IJCAI, 2015)

SATS: A Universal Spectrum Auction Test Suite. - Michael Weiss 004; Benjamin Lubin; Sven Seuken (AAMAS, 2017)

Misbehaviour prediction for autonomous driving systems. - Andrea Stocco 001; Michael Weiss 004; Marco Calzana; Paolo Tonella (ICSE, 2020)

Testing machine learning based systems: a systematic mapping. - Vincenzo Riccio; Gunel Jahangirova; Andrea Stocco 001; Nargiz Humbatova; Michael Weiss 004; Paolo Tonella (Empir. Softw. Eng., 2020)

Uncertainty-wizard: Fast and user-friendly neural network uncertainty quantification. - Michael Weiss 004; Paolo Tonella (Zenodo, 2020)

Uncertainty-wizard: Fast and user-friendly neural network uncertainty quantification. - Michael Weiss 004; Paolo Tonella (Zenodo, 2020)

Uncertainty-wizard: Fast and user-friendly neural network uncertainty quantification. - Michael Weiss 004; Paolo Tonella (Zenodo, 2020)

Uncertainty-wizard: Fast and user-friendly neural network uncertainty quantification. - Michael Weiss 004; Paolo Tonella (Zenodo, 2020)

A Review and Refinement of Surprise Adequacy. - Michael Weiss 004; Rwiddhi Chakraborty; Paolo Tonella (DeepTest@ICSE, 2021)

Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring. - Michael Weiss 004; Paolo Tonella (ICST, 2021)

Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification. - Michael Weiss 004; Paolo Tonella (ICST, 2021)

Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). - Michael Weiss 004; Paolo Tonella (ISSTA, 2022)

CheapET-3: cost-efficient use of remote DNN models. - Michael Weiss 004 (ESEC/SIGSOFT FSE, 2022)

A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity. - Michael Weiss 004; André García Gómez; Paolo Tonella (CoRR, 2022)

Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replication Paper). - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replication Paper). - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Replication Package: Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning. - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Replication Package: Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning. - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Replication Package: Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning. - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Replication Package: Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning. - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Replication Package: Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning. - Michael Weiss 004; Paolo Tonella (Zenodo, 2022)

Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replication Paper). - Michael Weiss 004; Paolo Tonella (Zenodo, 2023)

Uncertainty-wizard: Fast and user-friendly neural network uncertainty quantification. - Michael Weiss 004; Paolo Tonella (Zenodo, 2023)

Replication package for the EMSE paper "Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing". - Michael Weiss 004; André García Gómez; Paolo Tonella (Zenodo, 2023)

Uncertainty quantification for deep neural networks: An empirical comparison and usage guidelines. - Michael Weiss 004; Paolo Tonella (Softw. Test. Verification Reliab., 2023)

Generating and detecting true ambiguity: a forgotten danger in DNN supervision testing. - Michael Weiss 004; André García Gómez; Paolo Tonella (Empir. Softw. Eng., 2023)

Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks. - Michael Weiss 004; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 2024)

Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report. - Michael Weiss 004; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 2024)