Georg Krempl

According to our database, Georg Krempl authored at least 35 papers between 2009 and 2023.

Collaborative distances:

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

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

Stream-based active learning for sliding windows under the influence of verification latency.

Tuan Pham, Daniel Kottke, Georg Krempl, Bernhard Sick

Mach. Learn., 2022

A Stopping Criterion for Transductive Active Learning.

Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick

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

2021

Implementation of and experimental software for active selection of classification features.

Thomas T. Kok, Georg Krempl, Hugo G. Schnack

Softw. Impacts, 2021

Toward optimal probabilistic active learning using a Bayesian approach.

Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick

Mach. Learn., 2021

ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity.

Georg Krempl, Daniel Kottke, Tuan Pham Minh

CoRR, 2021

Probabilistic Active Learning for Active Class Selection.

Daniel Kottke, Georg Krempl, Marianne Stecklina, Cornelius Styp von Rekowski, Tim Sabsch, Tuan Pham Minh, Matthias Deliano, Myra Spiliopoulou, Bernhard Sick

CoRR, 2021

Active Selection of Classification Features.

Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Statistical Analysis of Pairwise Connectivity.

Georg Krempl, Daniel Kottke, Tuan Pham

Proceedings of the Discovery Science - 24th International Conference, 2021

2020

Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372).

Georg Krempl, Vera Hofer, Geoffrey I. Webb, Eyke Hüllermeier

Dagstuhl Reports, 2020

Constructing and predicting school advice for academic achievement: a comparison of item response theory and machine learning techniques.

Koen Niemeijer, Remco Feskens, Georg Krempl, Jesse Koops, Matthieu J. S. Brinkhuis

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

2019

Temporal density extrapolation using a dynamic basis approach.

Georg Krempl, Dominik Lang, Vera Hofer

Data Min. Knowl. Discov., 2019

2017

Probabilistic Active Learning with Structure-Sensitive Kernels.

Dominik Lang, Daniel Kottke, Georg Krempl

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), 2017

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation.

Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick

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), 2017

2016

Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.

Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou

Proceedings of the Workshop on Active Learning: Applications, 2016

Active Subtopic Detection in Multitopic Data.

Benjamin Bergner, Georg Krempl

Proceedings of the Workshop on Active Learning: Applications, 2016

Multi-Class Probabilistic Active Learning.

Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification.

Georg Krempl, Daniel Kottke, Vincent Lemaire

Mach. Learn., 2015

Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI).

Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú

Brain Informatics, 2015

Temporal Density Extrapolation.

Georg Krempl

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

How to select information that matters: a comparative study on active learning strategies for classification.

Christian Beyer, Georg Krempl, Vincent Lemaire

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Probabilistic Active Learning in Datastreams.

Daniel Kottke, Georg Krempl, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Clustering-Based Optimised Probabilistic Active Learning (COPAL).

Georg Krempl, Tuan Cuong Ha, Myra Spiliopoulou

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Open challenges for data stream mining research.

Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski

SIGKDD Explor., 2014

Probabilistic Active Learning: A Short Proposition.

Georg Krempl, Daniel Kottke, Myra Spiliopoulou

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency.

Georg Krempl, Daniel Kottke, Myra Spiliopoulou

Proceedings of the Discovery Science - 17th International Conference, 2014

Are Some Brain Injury Patients Improving More Than Others?

Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul, Fernando Maestú

Proceedings of the Brain Informatics and Health - International Conference, 2014

2013

Drift mining in data: A framework for addressing drift in classification.

Vera Hofer, Georg Krempl

Comput. Stat. Data Anal., 2013

Correcting the Usage of the Hoeffding Inequality in Stream Mining.

Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2012

A hierarchical tree layout algorithm with an application to corporate management in a change process.

Vera Hofer, Georg Krempl

Expert Syst. Appl., 2012

2011

Online Clustering of High-Dimensional Trajectories under Concept Drift.

Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Drift Models and Classification in Presence of Latency and Drift.

Georg Krempl, Vera Hofer

Proceedings of the Report of the symposium "Lernen, 2011

The Algorithm APT to Classify in Concurrence of Latency and Drift.

Georg Krempl

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Classification in Presence of Drift and Latency.

Georg Krempl, Vera Hofer

Proceedings of the Data Mining Workshops (ICDMW), 2011

2009

Partitioner Trees for Classification: A New Ensemble Method.

Georg Krempl, Vera Hofer

Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009