Daniel Kottke

Citado por

	Total	Desde 2019
Citas	596	472
Índice h	14	13
Índice i10	16	16

100

201420152016201720182019202020212022202320245 12 19 20 45 51 69 92 92 88 78

Acceso público

Ver todo

4 artículos

1 artículo

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Bernhard SickProfessor of Intelligent Embedded Systems, University of KasselDirección de correo verificada de uni-kassel.de
Georg KremplInformation and Computing Sciences, Utrecht University, The NetherlandsDirección de correo verificada de uu.nl
Denis HuseljicUniversity of KasselDirección de correo verificada de uni-kassel.de
Marek HerdeUniversity of KasselDirección de correo verificada de uni-kassel.de
Myra SpiliopoulouProfessor in Computer Science, Otto-von-Guericke University MagdeburgDirección de correo verificada de ovgu.de
Pham Minh TuanUniversität KasselDirección de correo verificada de uni-kassel.de
Christoph SandrockUniversität KasselDirección de correo verificada de uni-kassel.de
Michael HankeINM-7, Research Center Jülich and Inst. Sys. Neurosci., Medical Faculty, HHU Düsseldorf, GermanyDirección de correo verificada de fz-juelich.de
Vincent LemaireOrange LabsDirección de correo verificada de orange.com
Sven TomfordeUniversität Kiel, Intelligent SystemsDirección de correo verificada de informatik.uni-kiel.de
Maarten BieshaarRobert Bosch GmbHDirección de correo verificada de de.bosch.com
Klemens BöhmUniv.-Prof. Dr.-Ing., IPD - Institute of Program Structures and Data OrganizationDirección de correo verificada de kit.edu
Holger Trittenbachneurocat GmbHDirección de correo verificada de neurocat.ai
Adrian EnglhardtAI Engineer @ LinkedIn | Previously: Researcher, Karlsruhe Institute of TechnologyDirección de correo verificada de kit.edu
Ali SunyaevKarlsruhe Institute of Technology (KIT)Dirección de correo verificada de kit.edu
George KachergisResearch Scientist, Arizona State UniversityDirección de correo verificada de stanford.edu
Christian GruhlUniversity of KasselDirección de correo verificada de uni-kassel.de
Edwin LughoferJohannes Kepler University LinzDirección de correo verificada de jku.at
Gino GulamhusseneOtto-von-Guericke-University MagdeburgDirección de correo verificada de ovgu.de
Adrian Calma

Seguir

Daniel Kottke

Researcher, Kassel University

Dirección de correo verificada de uni-kassel.de - Página principal

Active Learning Data Mining Machine Learning Pattern Recognition


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation M Hanke, N Adelhöfer, D Kottke, V Iacovella, A Sengupta, FR Kaule, ... Scientific data 3 (1), 1-15, 2016	115	2016
Optimised probabilistic active learning (OPAL) for fast, non-myopic, cost-sensitive active classification G Krempl, D Kottke, V Lemaire Machine Learning 100, 449-476, 2015	55	2015
Transfer Learning for Time Series Anomaly Detection. V Vercruyssen, W Meert, J Davis IAL@ PKDD/ECML, 27-36, 2017	43	2017
Challenges of Reliable, Realistic and Comparable Active Learning Evaluation D Kottke, A Calma, D Huseljic, G Krempl, B Sick Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning …, 2017	42	2017
Multi-Class Probabilistic Active Learning D Kottke, G Krempl, D Lang, J Teschner, M Spiliopoulou Frontiers in Artificial Intelligence and Applications 285, 586-594 (ECAI), 2016	34	2016
Probabilistic active learning in datastreams D Kottke, G Krempl, M Spiliopoulou Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015	30	2015
Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms A Calma, D Kottke, B Sick, S Tomforde 2nd IEEE International Workshops on Foundations and Applications of Self …, 2017	29	2017
Separation of aleatoric and epistemic uncertainty in deterministic deep neural networks D Huseljic, B Sick, M Herde, D Kottke 2020 25th International Conference on Pattern Recognition (ICPR), 9172-9179, 2021	28	2021
A comparative study on hyperparameter optimization for recommender systems P Matuszyk, RT Castillo, D Kottke, M Spiliopoulou Workshop on Recommender Systems and Big Data Analytics (RS-BDA'16).-2016.-Р …, 2016	26	2016
Toward optimal probabilistic active learning using a Bayesian approach D Kottke, M Herde, C Sandrock, D Huseljic, G Krempl, B Sick Machine Learning 110 (6), 1199-1231, 2021	25	2021
Stream-based active learning for sliding windows under the influence of verification latency T Pham, D Kottke, G Krempl, B Sick Machine Learning, 1-26, 2022	22	2022
Probabilistic active learning: Towards combining versatility, optimality and efficiency G Krempl, D Kottke, M Spiliopoulou Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014	21	2014
Limitations of assessing active learning performance at runtime D Kottke, J Schellinger, D Huseljic, B Sick arXiv preprint arXiv:1901.10338, 2019	16	2019
Probabilistic Active Learning for Active Class Selection D Kottke, G Krempl, M Stecklina, CS von Rekowski, T Sabsch, TP Minh, ... Future of Interactive Learning Machines Workshop @NIPS 2016, 2016	15*	2016
scikit-activeml: A library and toolbox for active learning algorithms D Kottke, M Herde, TP Minh, A Benz, P Mergard, A Roghman, C Sandrock, ... Preprints, 2021	11	2021
A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation. Scientific Data, 3, 160092 M Hanke, N Adelhöfer, D Kottke, V Iacovella, A Sengupta, FR Kaule, ...	10	2016
Active sorting–an efficient training of a sorting robot with active learning techniques M Herde, D Kottke, A Calma, M Bieshaar, S Deist, B Sick 2018 international joint conference on neural networks (IJCNN), 1-8, 2018	9	2018
Multi-annotator probabilistic active learning M Herde, D Kottke, D Huseljic, B Sick 2020 25th International Conference on Pattern Recognition (ICPR), 10281-10288, 2021	8	2021
Active learning with realistic data-a case study A Calma, M Stolz, D Kottke, S Tomforde, B Sick 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	8	2018
Probabilistic active learning: A short proposition G Krempl, D Kottke, M Spiliopoulou ECAI 2014, 1049-1050, 2014	7	2014

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores