Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

Federated Time Series Classification with ROCKET features.

[BibT_eX]

[DOI]

Bruno Casella

Matthias Jakobs

Marco Aldinucci

Sebastian Buschjäger

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Energy Efficiency Considerations for Popular AI Benchmarks.

[BibT_eX]

[DOI]

Raphael Fischer

Matthias Jakobs

Katharina Morik

CoRR, 2023

Explainable Quantum Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Harnessing Prior Knowledge for Explainable Machine Learning: An Overview.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Online Deep Hybrid Ensemble Learning for Time Series Forecasting.

[BibT_eX]

[DOI]

Amal Saadallah

Matthias Jakobs

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Shapley Values with Uncertain Value Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting.

[BibT_eX]

[DOI]

Matthias Jakobs

Amal Saadallah

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Explainable online ensemble of deep neural network pruning for time series forecasting.

[BibT_eX]

[DOI]

Amal Saadallah

Matthias Jakobs

Katharina Morik

Mach. Learn., 2022

Yes we care!-Certification for machine learning methods through the care label framework.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2022

A Unified Framework for Assessing Energy Efficiency of Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

SancScreen: Towards a Real-world Dataset for Evaluating Explainability Methods.

[BibT_eX]

[DOI]

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2021

Explainable Machine Learning with Prior Knowledge: An Overview.

[BibT_eX]

[DOI]

CoRR, 2021

Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting.

[BibT_eX]

[DOI]

Amal Saadallah

Matthias Jakobs

Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Solving Abstract Reasoning Tasks with Grammatical Evolution.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2020

2019

Evaluation of the Application of Smart Glasses for Decentralized Control Systems in Logistics.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Towards Complex Adaptive Control Systems for Human-Robot-Interaction in Intralogistics.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Matthias Jakobs

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