Georg Krempl - RankMe

56 papers A* 1A 3B 11Journal 18Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	The Window Dilemma: Why Concept Drift Detection is Ill-Posed. IDA Brandon Gower-Winter, Misja Groen, Georg Krempl
2026	J	`jnl`	The Window Dilemma: Why Concept Drift Detection is Ill-Posed. CoRR Brandon Gower-Winter, Misja Groen, Georg Krempl
2025	B	`ed.`	Advances in Intelligent Data Analysis XXIII - 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7-9, 2025, Proceedings IDA Georg Krempl, Kai Puolamäki, Ioanna Miliou
2025	A*	`conf`	Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. AAAI Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes
2025	B	`conf`	Performative Drift Resistant Classification Using Generative Domain Adversarial Networks. IDA Maciej Makowski, Brandon Gower-Winter, Georg Krempl
2025	J	`jnl`	Performative Drift Resistant Classification Using Generative Domain Adversarial Networks. CoRR Maciej Makowski, Brandon Gower-Winter, Georg Krempl
2024	J	`jnl`	Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. CoRR Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes
2024	—	`ed.`	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. IAL@PKDD/ECML Mirko Bunse, Marek Herde, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Minh Tuan Pham, Amal Saadallah
2023	—	`conf`	Efficient and General Text Classification: An Active Learning Approach Using Active Learning and NLP to Aid Processes Such as Journalistic Investigations And document Analysis. PKDD/ECML Workshops (2) Micha van Grinsven, Matthieu J. S. Brinkhuis, Georg Krempl, Joop Snijder
2023	—	`ed.`	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. IAL@PKDD/ECML Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah
2023	—	`conf`	Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah
2022	—	`conf`	A Stopping Criterion for Transductive Active Learning. ECML/PKDD (4) Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick
2022	—	`ed.`	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), Bilbao, Spain, September 13, 2021. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer
2022	—	`ed.`	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), Grenoble, France, September 23, 2022. IAL@PKDD/ECML Daniel Kottke, Georg Krempl, Andreas Holzinger, Barbara Hammer
2022	J	`jnl`	Stream-based active learning for sliding windows under the influence of verification latency. Mach. Learn. Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick
2021	J	`jnl`	ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity. CoRR Georg Krempl, Daniel Kottke, Tuan Pham Minh
2021	B	`conf`	Active Selection of Classification Features. IDA Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl
2021	J	`jnl`	Active Selection of Classification Features. CoRR Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl
2021	J	`jnl`	Implementation of and experimental software for active selection of classification features. Softw. Impacts Thomas T. Kok, Georg Krempl, Hugo G. Schnack
2021	J	`jnl`	Probabilistic Active Learning for Active Class Selection. CoRR Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
2021	B	`conf`	Statistical Analysis of Pairwise Connectivity. DS Georg Krempl, Daniel Kottke, Tuan Pham
2021	J	`jnl`	Toward optimal probabilistic active learning using a Bayesian approach. Mach. Learn. Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
2020	B	`ed.`	Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings IDA Michael R. Berthold, Ad Feelders, Georg Krempl
2020	J	`jnl`	Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372). Dagstuhl Reports Georg Krempl, Vera Hofer, Geoffrey I. Webb, Eyke Hüllermeier
2020	A	`conf`	Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques. LAK Koen Niemeijer, Remco Feskens, Georg Krempl, Jesse Koops, Matthieu J. S. Brinkhuis
2020	—	`ed.`	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 2020), Ghent, Belgium, September 14th, 2020. IAL@PKDD/ECML Daniel Kottke, Georg Krempl, Vincent Lemaire, Andreas Holzinger, Adrian Calma
2020	J	`jnl`	Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. CoRR Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
2019	J	`jnl`	Temporal Density Extrapolation using a Dynamic Basis Approach. CoRR Georg Krempl, Dominik Lang, Vera Hofer
2019	J	`jnl`	Temporal density extrapolation using a dynamic basis approach. Data Min. Knowl. Discov. Georg Krempl, Dominik Lang, Vera Hofer
2018	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick
2017	—	`conf`	Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick
2017	—	`conf`	Probabilistic Active Learning with Structure-Sensitive Kernels. IAL@PKDD/ECML Dominik Lang, Daniel Kottke, Georg Krempl
2017	—	`ed.`	Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma
2016	—	`conf`	Active Subtopic Detection in Multitopic Data. AL@iKNOW Benjamin Bergner, Georg Krempl
2016	—	`—`	Aktives maschinelles Lernen bei unvollständiger Information Georg Krempl
2016	—	`conf`	Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. AL@iKNOW Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou
2016	A	`conf`	Multi-Class Probabilistic Active Learning. ECAI Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou
2016	—	`ed.`	Proceedings of the Workshop on Active Learning: Applications, Foundations and Emerging Trends co-located with International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2016), Graz, Austria, October 18, 2016. AL@iKNOW Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke
2015	B	`conf`	Clustering-Based Optimised Probabilistic Active Learning (COPAL). Discovery Science Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou
2015	—	`conf`	How to select information that matters: a comparative study on active learning strategies for classification. I-KNOW Christian Beyer, Georg Krempl, Vincent Lemaire
2015	J	`jnl`	Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification. Mach. Learn. Georg Krempl, Daniel Kottke, Vincent Lemaire
2015	J	`jnl`	Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú
2015	B	`conf`	Probabilistic Active Learning in Datastreams. IDA Daniel Kottke, Georg Krempl, Myra Spiliopoulou
2015	—	`conf`	Temporal Density Extrapolation. AALTD@PKDD/ECML Georg Krempl
2014	—	`conf`	Are Some Brain Injury Patients Improving More Than Others? Brain Informatics and Health Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú
2014	J	`jnl`	Open challenges for data stream mining research. SIGKDD Explor. Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
2014	A	`conf`	Probabilistic Active Learning: A Short Proposition. ECAI Georg Krempl, Daniel Kottke, Myra Spiliopoulou
2014	B	`conf`	Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. Discovery Science Georg Krempl, Daniel Kottke, Myra Spiliopoulou
2013	B	`conf`	Correcting the Usage of the Hoeffding Inequality in Stream Mining. IDA Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou
2013	J	`jnl`	Drift mining in data: A framework for addressing drift in classification. Comput. Stat. Data Anal. Vera Hofer, Georg Krempl
2012	J	`jnl`	A hierarchical tree layout algorithm with an application to corporate management in a change process. Expert Syst. Appl. Vera Hofer, Georg Krempl
2011	—	`conf`	Classification in Presence of Drift and Latency. ICDM Workshops Georg Krempl, Vera Hofer
2011	—	`conf`	Drift Models and Classification in Presence of Latency and Drift. LWA Georg Krempl, Vera Hofer
2011	—	`conf`	Online Clustering of High-Dimensional Trajectories under Concept Drift. ECML/PKDD (2) Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou
2011	B	`conf`	The Algorithm APT to Classify in Concurrence of Latency and Drift. IDA Georg Krempl
2009	—	`ch.`	Partitioner Trees for Classification: A New Ensemble Method. Applications of Supervised and Unsupervised Ensemble Methods Georg Krempl, Vera Hofer