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2020 – today
- 2024
[j2]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Regularization-based methods for ordinal quantification. Data Min. Knowl. Discov. 38(6): 4076-4121 (2024)- [e2]Mirko Bunse, Marek Herde, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Minh Tuan Pham, Amal Saadallah:
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024. CEUR Workshop Proceedings 3770, CEUR-WS.org 2024 [contents] - 2023
- [j1]Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). SIGKDD Explor. 25(2): 25-28 (2023) - [c13]Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah:
Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML 2023: 1-8 - [c12]Mirko Bunse
, Lukas Pfahler:
Class-Conditional Label Noise in Astroparticle Physics. ECML/PKDD (6) 2023: 19-35 - [e1]Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah:
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), Torino, Italy, September 22nd, 2023. CEUR Workshop Proceedings 3470, CEUR-WS.org 2023 [contents] - [d5]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Cherenkov Telescope Data for Ordinal Quantification. Zenodo, 2023
- [d4]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Product Reviews for Ordinal Quantification. Zenodo, 2023 - [d3]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
UCI and OpenML Data Sets for Ordinal Quantification. Zenodo, 2023 - [i3]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Regularization-Based Methods for Ordinal Quantification. CoRR abs/2310.09210 (2023) - 2022
- [b1]Mirko Bunse:
Machine learning for acquiring knowledge in astro-particle physics. Technical University of Dortmund, Germany, 2022 - [c11]Martin Senz, Mirko Bunse:
DortmundAI at LeQua 2022: Regularized SLD. CLEF (Working Notes) 2022: 1911-1915 - [c10]Mirko Bunse:
Unification of Algorithms for Quantification and Unfolding. GI-Jahrestagung 2022: 459-468 - [c9]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Ordinal Quantification Through Regularization. ECML/PKDD (5) 2022: 36-52 - [c8]Martin Senz, Mirko Bunse, Katharina Morik:
Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML 2022: 68-76 - [p3]Katharina Morik, Mirko Bunse:
Key Concepts in Machine Learning and Data Analysis. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 51-75 - [p2]Bernhard Spaan, Hans Dembinski, Gerwin Meier, Jean-Marco Alameddine, Dominik Baack, Mirko Bunse, Jens Teubner, Thomas Lindemann, Maximilian Linhoff, Tim Ruhe:
Monte Carlo Simulations. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 103-143 - [p1]Tim Ruhe, Mirko Bunse, Wolfgang Rhode, Bernhard Spaan, Michael Schmelling, Maximilian Linhoff, Marlene Doert, Karolin Hymon:
Inverse Problems. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 279-317 - [d2]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Product Reviews for Ordinal Quantification. Zenodo, 2022 - [d1]Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz:
Cherenkov Telescope Data for Ordinal Quantification. Zenodo, 2022 - 2021
- [c7]Mirko Bunse, Katharina Morik:
Active Class Selection with Uncertain Class Proportions. IAL@PKDD/ECML 2021: 70-79 - [c6]Mirko Bunse, Katharina Morik:
Certification of Model Robustness in Active Class Selection. ECML/PKDD (2) 2021: 266-281 - [i2]Lukas Pfahler, Mirko Bunse, Katharina Morik:
Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR abs/2108.13396 (2021) - 2020
- [c5]Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik:
Optimal Probabilistic Classification in Active Class Selection. ICDM 2020: 942-947 - [i1]Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020)
2010 – 2019
- 2019
- [c4]Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode:
A Data Science Perspective on Deconvolution. GI-Jahrestagung 2019: 279-280 - [c3]Mirko Bunse, Katharina Morik:
What Can We Expect from Active Class Selection? LWDA 2019: 79-83 - 2018
- [c2]Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode:
Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA 2018: 21-30 - [c1]Mirko Bunse, Nico Piatkowski, Katharina Morik:
Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA 2018: 73-77
Coauthor Index
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last updated on 2024-11-13 23:51 CET by the dblp team
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