Mirko Bunse

According to our database, Mirko Bunse authored at least 27 papers between 2018 and 2024.

Collaborative distances:

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

2024

Regularization-based methods for ordinal quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Data Min. Knowl. Discov., November, 2024

2023

Report on the 3rd International Workshop onLearning to Quantify (LQ 2023).

Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani

SIGKDD Explor., December, 2023

Product Reviews for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, October, 2023

UCI and OpenML Data Sets for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, July, 2023

Product Reviews for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, July, 2023

Cherenkov Telescope Data for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, July, 2023

Class-Conditional Label Noise in Astroparticle Physics.

Mirko Bunse, Lukas Pfahler

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Tutorial: Interactive Adaptive Learning.

Mirko Bunse, Georg Krempl, 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), 2023

2022

Cherenkov Telescope Data for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, September, 2022

Product Reviews for Ordinal Quantification.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

Dataset, September, 2022

Machine learning for acquiring knowledge in astro-particle physics.

Mirko Bunse

PhD thesis, 2022

Certifiable Active Class Selection in Multi-Class Classification.

Martin Senz, Mirko Bunse, Katharina Morik

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 2022), 2022

Ordinal Quantification Through Regularization.

Mirko Bunse, Alejandro Moreo, Fabrizio Sebastiani, Martin Senz

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

Unification of Algorithms for Quantification and Unfolding.

Mirko Bunse

Proceedings of the 52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26., 2022

DortmundAI at LeQua 2022: Regularized SLD.

Martin Senz, Mirko Bunse

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Monte Carlo Simulations.

Bernhard Spaan, Hans Dembinski, Gerwin Meier, Jean-Marco Alameddine, Dominik Baack, Mirko Bunse, Jens Teubner, Thomas Lindemann, Maximilian Linhoff, Tim Ruhe

Proceedings of the Machine Learning under Resource Constraints, 2022

Inverse Problems.

Tim Ruhe, Mirko Bunse, Wolfgang Rhode, Bernhard Spaan, Michael Schmelling, Maximilian Linhoff, Marlene Doert, Karolin Hymon

Proceedings of the Machine Learning under Resource Constraints, 2022

Key Concepts in Machine Learning and Data Analysis.

Katharina Morik, Mirko Bunse

Proceedings of the Machine Learning under Resource Constraints, 2022

2021

Noisy Labels for Weakly Supervised Gamma Hadron Classification.

Lukas Pfahler, Mirko Bunse, Katharina Morik

CoRR, 2021

Active Class Selection with Uncertain Class Proportions.

Mirko Bunse, Katharina Morik

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Certification of Model Robustness in Active Class Selection.

Mirko Bunse, Katharina Morik

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

2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.

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

CoRR, 2020

Optimal Probabilistic Classification in Active Class Selection.

Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

What Can We Expect from Active Class Selection?

Mirko Bunse, Katharina Morik

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A Data Science Perspective on Deconvolution.

Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

Towards a Unifying View on Deconvolution in Cherenkov Astronomy.

Mirko Bunse, Nico Piatkowski, Katharina Morik

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Unification of Deconvolution Algorithms for Cherenkov Astronomy.

Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018