default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel Kottke
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
[c19]Christoph Sandrock
, Marek Herde, Daniel Kottke, Bernhard Sick:
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. DS 2023: 265-276- [i7]Tuan Pham Minh, Jayan Wijesingha, Daniel Kottke, Marek Herde, Denis Huseljic, Bernhard Sick, Michael Wachendorf, Thomas Esch:
Active Label Refinement for Semantic Segmentation of Satellite Images. CoRR abs/2309.06159 (2023) - 2022
- [j4]Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD sampling with approximation guarantees for the decision boundary. Mach. Learn. 111(4): 1349-1375 (2022) - [j3]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): 2011-2036 (2022) - [c18]Daniel Kottke, Christoph Sandrock, Georg Krempl, Bernhard Sick:
A Stopping Criterion for Transductive Active Learning. ECML/PKDD (4) 2022: 468-484 - [e6]Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer:
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. CEUR Workshop Proceedings 3079, CEUR-WS.org 2022 [contents] - [e5]Daniel Kottke, Georg Krempl, Andreas Holzinger, Barbara Hammer:
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. CEUR Workshop Proceedings 3259, CEUR-WS.org 2022 [contents] - [i6]Marek Herde, Zhixin Huang, Denis Huseljic, Daniel Kottke, Stephan Vogt, Bernhard Sick:
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning. CoRR abs/2210.06112 (2022) - 2021
- [b1]Daniel Kottke:
A holistic, decision-theoretic framework for pool-based active learning. University of Kassel, Germany, 2021, ISBN 978-3-7376-0987-6, pp. 1-241 - [j2]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): 1199-1231 (2021) - [c17]Georg Krempl, Daniel Kottke, Tuan Pham:
Statistical Analysis of Pairwise Connectivity. DS 2021: 138-148 - [p1]Daniel Kottke:
Ein holistischer Ansatz für Pool-basiertes Aktives Lernen. Ausgezeichnete Informatikdissertationen 2021: 121-130 - [i5]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 abs/2108.03891 (2021) - [i4]Georg Krempl, Daniel Kottke, Tuan Pham Minh:
ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity. CoRR abs/2108.04289 (2021) - 2020
- [c16]Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke:
Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks. ICPR 2020: 9172-9179 - [c15]Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick:
Multi-Annotator Probabilistic Active Learning. ICPR 2020: 10281-10288 - [c14]Tuan Pham Minh, Daniel Kottke, Anna Tsarenko, Christian Gruhl, Bernhard Sick:
Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning. IJCNN 2020: 1-8 - [e4]Daniel Kottke, Georg Krempl, Vincent Lemaire, Andreas Holzinger, Adrian Calma:
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. CEUR Workshop Proceedings 2660, CEUR-WS.org 2020 [contents] - [i3]Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick:
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach. CoRR abs/2006.01732 (2020) - [i2]Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens Böhm:
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary. CoRR abs/2009.13853 (2020)
2010 – 2019
- 2019
- [c13]Christoph Sandrock, Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick:
Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality. IJCNN 2019: 1-8 - [i1]Daniel Kottke, Jim Schellinger, Denis Huseljic, Bernhard Sick:
Limitations of Assessing Active Learning Performance at Runtime. CoRR abs/1901.10338 (2019) - 2018
- [c12]Adrian Calma, Moritz Stolz, Daniel Kottke, Sven Tomforde, Bernhard Sick:
Active Learning With Realistic Data - A Case Study. IJCNN 2018: 1-8 - [c11]Marek Herde, Daniel Kottke, Adrian Calma, Maarten Bieshaar, Stephan Deist, Bernhard Sick:
Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques. IJCNN 2018: 1-8 - [c10]Daniel Kottke, Adrian Calma, Denis Huseljic, Christoph Sandrock, George Kachergis, Bernhard Sick:
The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning. IJCNN 2018: 1-8 - [e3]Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick:
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. CEUR Workshop Proceedings 2192, CEUR-WS.org 2018 [contents] - 2017
- [c9]Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick:
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. IAL@PKDD/ECML 2017: 2-14 - [c8]Dominik Lang, Daniel Kottke, Georg Krempl:
Probabilistic Active Learning with Structure-Sensitive Kernels. IAL@PKDD/ECML 2017: 37-48 - [c7]Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde:
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms. FAS*W@SASO/ICCAC 2017: 109-116 - [e2]Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma:
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. CEUR Workshop Proceedings 1924, CEUR-WS.org 2017 [contents] - 2016
- [c6]Daniel Kottke, Georg Krempl, Dominik Lang, Johannes Teschner, Myra Spiliopoulou:
Multi-Class Probabilistic Active Learning. ECAI 2016: 586-594 - [c5]Dominik Lang, Daniel Kottke, Georg Krempl, Myra Spiliopoulou:
Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning. AL@iKNOW 2016: 25-34 - [e1]Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke:
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. CEUR Workshop Proceedings 1707, CEUR-WS.org 2016 [contents] - 2015
- [j1]Georg Krempl, Daniel Kottke, Vincent Lemaire:
Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification. Mach. Learn. 100(2-3): 449-476 (2015) - [c4]Daniel Kottke, Gino Gulamhussene, Klaus D. Tönnies:
Data-Driven Spine Detection for Multi-Sequence MRI. Bildverarbeitung für die Medizin 2015: 5-10 - [c3]Daniel Kottke, Georg Krempl, Myra Spiliopoulou:
Probabilistic Active Learning in Datastreams. IDA 2015: 145-157 - 2014
- [c2]Georg Krempl, Daniel Kottke, Myra Spiliopoulou:
Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. Discovery Science 2014: 168-179 - [c1]Georg Krempl, Daniel Kottke, Myra Spiliopoulou:
Probabilistic Active Learning: A Short Proposition. ECAI 2014: 1049-1050
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-16 22:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
