Research output per year
Research output per year
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Dive into the research topics where Georg Krempl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Publication network from the last five years
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Efficient and General Text Classification: An Active Learning Approach Using Active Learning and NLP to Aid Processes Such as Journalistic Investigations And document Analysis
van Grinsven, M., Brinkhuis, M., Krempl, G. & Snijder, J., 1 Jan 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Revised Selected Papers. Meo, R. & Silvestri, F. (eds.). Springer Nature, p. 105-120 16 p. (Communications in Computer and Information Science; vol. 2134 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Gower-Winter, B., Krempl, G., Dragomiretskiy, S., Jelsma, T. & Siebes, A., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 11, p. 11726-11734 9 p.Research output: Contribution to journal › Conference article › Academic › peer-review
Open AccessFile -
Anticipative Bayesian classification for data streams with verification latency
Hofer, V., Krempl, G. & Lang, D., Oct 2024, In: Journal of Applied Statistics. 51, 14, p. 2812-2831 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
Interactive Adaptive Learning 2024 Workshop Proceedings
Bunse, M., Herde, M., Krempl, G., Lemaire, V., Pham, M. T., Saadallah, A. & Tharwat, A., 9 Sept 2024, In: CEUR Workshop Proceedings. 3770, p. I-IIResearch output: Contribution to journal › Editorial › Academic › peer-review
Open AccessFile -
A Stopping Criterion for Transductive Active Learning
Kottke, D., Sandrock, C., Krempl, G. & Sick, B., 17 Mar 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer, p. 468-484 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13716 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile
Activities
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AI for Professionals
Vink, G. (Organiser), Frank, L. (Organiser), Krempl, G. (Organiser), Muis, I. (Organiser) & Qahtan, H. (Organiser)
20 Dec 2023Activity: Participating in or organising an event › Workshop, seminar, course › Professional
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Workshop on Interactive Adaptive Learning at ECML PKDD 2021
Krempl, G. (Organiser), Lemaire, V. (Organiser), Kottke, D. (Organiser), Calma, A. (Organiser) & Polikar, R. (Organiser)
13 Sept 2021Activity: Participating in or organising an event › Workshop, seminar, course › Academic
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Dagstuhl Seminar 20372: Beyond Adaptation: Understanding Distributional Changes
Krempl, G. (Organiser)
6 Sept 2020 → 11 Sept 2020Activity: Participating in or organising an event › Workshop, seminar, course › Academic
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International Workshop on Interactive Adaptive Learning (IAL2020)
Kottke, D. (Organiser), Krempl, G. (Organiser), Lemaire, V. (Organiser), Holzinger, A. (Organiser) & Calma, A. (Organiser)
14 Sept 2020Activity: Participating in or organising an event › Workshop, seminar, course › Academic
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Symposium on Intelligent Data Analysis (IDA 2020)
Krempl, G. (Organiser) & Feelders, A. J. (Organiser)
27 Apr 2020 → 29 Apr 2020Activity: Participating in or organising an event › Workshop, seminar, course › Academic