Georg Krempl

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 20

Top Topics

Uncertainty Sampling

Top Venues

Publications

Mirko Bunse, Georg Krempl, Alaa Tharwat, Amal Saadallah
Tutorial: Interactive Adaptive Learning. IAL@PKDD/ECML (2023)
Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick
A Stopping Criterion for Transductive Active Learning. ECML/PKDD (4) (2022)
Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick
Stream-based active learning for sliding windows under the influence of verification latency. Mach. Learn. 111 (6) (2022)
Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl
Active Selection of Classification Features. CoRR (2021)
Thomas T. Kok, Georg Krempl, Hugo G. Schnack
Implementation of and experimental software for active selection of classification features. Softw. Impacts 9 (2021)
Georg Krempl, Daniel Kottke, Tuan Pham
Statistical Analysis of Pairwise Connectivity. DS (2021)
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
Toward optimal probabilistic active learning using a Bayesian approach. Mach. Learn. 110 (6) (2021)
Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl
Active Selection of Classification Features. IDA (2021)
Georg Krempl, Daniel Kottke, Tuan Pham Minh
ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity. CoRR (2021)
Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick
Probabilistic Active Learning for Active Class Selection. CoRR (2021)
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. CoRR (2020)
Koen Niemeijer, Remco Feskens, Georg Krempl, Jesse Koops, Matthieu J. S. Brinkhuis
Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques. LAK (2020)
Georg Krempl, Vera Hofer, Geoffrey I. Webb, Eyke Hüllermeier
Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372). Dagstuhl Reports 10 (4) (2020)
Georg Krempl, Dominik Lang, Vera Hofer
Temporal density extrapolation using a dynamic basis approach. Data Min. Knowl. Discov. 33 (5) (2019)
Georg Krempl, Dominik Lang, Vera Hofer
Temporal Density Extrapolation using a Dynamic Basis Approach. CoRR (2019)
Dominik Lang, Daniel Kottke, Georg Krempl
Probabilistic Active Learning with Structure-Sensitive Kernels. IAL@PKDD/ECML (2017)
Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML (2017)
Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou
Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. AL@iKNOW (2016)
Benjamin Bergner, Georg Krempl
Active Subtopic Detection in Multitopic Data. AL@iKNOW (2016)
Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou
Multi-Class Probabilistic Active Learning. ECAI (2016)
Georg Krempl, Daniel Kottke, Vincent Lemaire
Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification. Mach. Learn. 100 (2-3) (2015)
Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou
Clustering-Based Optimised Probabilistic Active Learning (COPAL). Discovery Science (2015)
Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú
Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics 2 (1) (2015)
Christian Beyer, Georg Krempl, Vincent Lemaire
How to select information that matters: a comparative study on active learning strategies for classification. I-KNOW (2015)
Daniel Kottke, Georg Krempl, Myra Spiliopoulou
Probabilistic Active Learning in Datastreams. IDA (2015)
Georg Krempl
Temporal Density Extrapolation. AALTD@PKDD/ECML (2015)
Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
Open challenges for data stream mining research. SIGKDD Explor. 16 (1) (2014)
Georg Krempl, Daniel Kottke, Myra Spiliopoulou
Probabilistic Active Learning: A Short Proposition. ECAI (2014)
Georg Krempl, Daniel Kottke, Myra Spiliopoulou
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. Discovery Science (2014)
Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú
Are Some Brain Injury Patients Improving More Than Others? Brain Informatics and Health (2014)
Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou
Correcting the Usage of the Hoeffding Inequality in Stream Mining. IDA (2013)
Vera Hofer, Georg Krempl
Drift mining in data: A framework for addressing drift in classification. Comput. Stat. Data Anal. 57 (1) (2013)
Vera Hofer, Georg Krempl
A hierarchical tree layout algorithm with an application to corporate management in a change process. Expert Syst. Appl. 39 (15) (2012)
Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou
Online Clustering of High-Dimensional Trajectories under Concept Drift. ECML/PKDD (2) (2011)
Georg Krempl, Vera Hofer
Classification in Presence of Drift and Latency. ICDM Workshops (2011)
Georg Krempl
The Algorithm APT to Classify in Concurrence of Latency and Drift. IDA (2011)
Georg Krempl, Vera Hofer
Drift Models and Classification in Presence of Latency and Drift. LWA (2011)