Παρακολούθηση
Matthias Jakobs
Matthias Jakobs
Research Associate, TU Dortmund
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tu-dortmund.de
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
K Beckh, S Müller, M Jakobs, V Toborek, H Tan, R Fischer, P Welke, ...
First IEEE Conference on Secure and Trustworthy Machine Learning, 2023
37*2023
Explainable online deep neural network selection using adaptive saliency maps for time series forecasting
A Saadallah, M Jakobs, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
182021
Towards complex adaptive control systems in intralogistics
T Kirks, J Jost, T Uhlott, M Jakobs
The 21st IEEE International Conference on Intelligent Transportation Systems, 2018
16*2018
Yes we care!-certification for machine learning methods through the care label framework
KJ Morik, H Kotthaus, R Fischer, S Mücke, M Jakobs, N Piatkowski, ...
Frontiers in Artificial Intelligence 5, 975029, 2022
12*2022
Solving Abstract Reasoning Tasks with Grammatical Evolution
R Fischer, M Jakobs, S Mücke, K Morik
Lernen, Wissen, Daten, Analysen, 6 - 10, 2020
112020
A unified framework for assessing energy efficiency of machine learning
R Fischer, M Jakobs, S Mücke, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
102022
Explainable online ensemble of deep neural network pruning for time series forecasting
A Saadallah, M Jakobs, K Morik
Machine Learning 111 (9), 3459-3487, 2022
102022
Evaluation of the application of smart glasses for decentralized control systems in logistics
T Kirks, J Jost, T Uhlott, J Püth, M Jakobs
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4470-4476, 2019
92019
Explaining quantum circuits with shapley values: Towards explainable quantum machine learning
R Heese, T Gerlach, S Mücke, S Müller, M Jakobs, N Piatkowski
arXiv preprint arXiv:2301.09138, 2023
52023
Fooling perturbation-based explainability methods
R Wilking, M Jakobs, K Morik
Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD …, 2022
42022
Energy efficiency considerations for popular ai benchmarks
R Fischer, M Jakobs, K Morik
arXiv preprint arXiv:2304.08359, 2023
32023
An empirical evaluation of the Rashomon effect in explainable machine learning
S Müller, V Toborek, K Beckh, M Jakobs, C Bauckhage, P Welke
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
22023
Shapley Values with Uncertain Value Functions
R Heese, S Mücke, M Jakobs, T Gerlach, N Piatkowski
International Symposium on Intelligent Data Analysis, 156-168, 2023
12023
SancScreen: Towards a Real-world Dataset for Evaluating Explainability Methods.
M Jakobs, H Kotthaus, I Röder, M Baritz
LWDA, 33-44, 2022
12022
Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting
M Jakobs, A Saadallah
2023 IEEE International Conference on Data Mining (ICDM), 180-189, 2023
2023
Online Deep Hybrid Ensemble Learning for Time Series Forecasting
A Saadallah, M Jakobs
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
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