Michael Glodek

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Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingPatvirtintas el. paštas uni-ulm.de
Günther PalmProfessor für Neuroinformatik, Universität UlmPatvirtintas el. paštas uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchPatvirtintas el. paštas fb.com
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityPatvirtintas el. paštas uni-ulm.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingPatvirtintas el. paštas uni-ulm.de
Tobias BroschHensoldt Sensors GmbHPatvirtintas el. paštas hensoldt.net
Ronald BöckOtto von Guericke University MagdeburgPatvirtintas el. paštas ovgu.de
Thomas GeierIndependent ResearcherPatvirtintas el. paštas alumni.uni-ulm.de
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHPatvirtintas el. paštas stephanreuter.de
Andreas WendemuthProfessor for Cognitive Systems, University MagdeburgPatvirtintas el. paštas ovgu.de
Ingo SiegertMobile Dialog Systems, IIKT, Otto von Guericke University MagdeburgPatvirtintas el. paštas ovgu.de
Nick CampbellATR, NAIST, NiCT,TCDPatvirtintas el. paštas tcd.ie
Michael WeberProfessor, Ulm UniversityPatvirtintas el. paštas uni-ulm.de
Frank HonoldJ.M. Voith SE & Co. KG, Group Division Digital Ventures, HeidenheimPatvirtintas el. paštas voith.com
Hans A. KestlerProfessor, Institute of Medical Systems Biology, Ulm UniversityPatvirtintas el. paštas uni-ulm.de
Ayoub Al-HamadiProfessor of Neuro-Information Technology (NIT)Patvirtintas el. paštas ovgu.de
Florian Nielsen (ehemals Nothd.)Wissenschaftlicher Mitarbeiter, Universität UlmPatvirtintas el. paštas mailbox.org

Stebėti

Michael Glodek

Institute of Neural Information Processing, University of Ulm

Patvirtintas el. paštas zguy.de

Pattern Recognition Machine Learning Multiple Classifier Systems Markov models Action Recognition


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... Affective Computing and Intelligent Interaction 6975, 359-368, 2011	182	2011
Multimodal emotion classification in naturalistic user behavior S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ... Human-Computer Interaction. Towards Mobile and Intelligent Interaction …, 2011	83	2011
Fusion of audio-visual features using hierarchical classifier systems for the recognition of affective states and the state of depression M Kächele, M Glodek, D Zharkov, S Meudt, F Schwenker depression 1 (1), 671-678, 2014	80	2014
Spotting laughter in natural multiparty conversations: A comparison of automatic online and offline approaches using audiovisual data S Scherer, M Glodek, F Schwenker, N Campbell, G Palm ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (1), 4:1--4:31, 2012	61	2012
A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3--4), 117--141, 2012	60	2012
Kalman Filter Based Classifier Fusion for Affective State Recognition M Glodek, S Reuter, M Schels, K Dietmayer, F Schwenker Multiple Classifier Systems 7872, 85-94, 2013	56	2013
Fusion paradigms in cognitive technical systems for human–computer interaction M Glodek, F Honold, T Geier, G Krell, F Nothdurft, S Reuter, F Schüssel, ... Neurocomputing 161, 17-37, 2015	51	2015
Ensemble Gaussian mixture models for probability density estimation M Glodek, M Schels, F Schwenker Computational Statistics 28 (1), 127--138, 2012	49	2012
Using unlabeled data to improve classification of emotional states in human computer interaction M Schels, M Kächele, M Glodek, D Hrabal, S Walter, F Schwenker Journal on Multimodal User Interfaces 8, 5-16, 2014	37	2014
Towards emotion recognition in human computer interaction G Palm, M Glodek Neural Nets and Surroundings 19, 323-336, 2013	34	2013
Multi-Modal Classifier-Fusion for the Recognition of Emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ...	31	2013
Conditioned hidden Markov model fusion for multimodal classification M Glodek, S Scherer, F Schwenker Twelfth Annual Conference of the International Speech Communication …, 2011	29	2011
Multiple classifier systems for the recogonition of human emotions F Schwenker, S Scherer, M Schmidt, M Schels, M Glodek Multiple Classifier Systems 5997, 315-324, 2010	29	2010
Fusion of Fragmentary Classifier Decisions for Affective State Recognition G Krell, M Glodek, A Panning, I Siegert, B Michaelis, A Wendemuth, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2013	27	2013
Multi-modal fusion based on classifiers using reject options and Markov fusion network M Glodek, M Schels, G Palm, F Schwenker Pattern Recognition (ICPR), 2012 21st International Conference on, 1084-1087, 2012	21	2012
Multi-modal fusion based on classifiers using reject options and Markov fusion networks M Glodek, M Schels, G Palm, F Schwenker Pattern Recognition (ICPR), 2012 21st International Conference on, 1084-1087, 2012	21	2012
Incorporating uncertainty in a layered HMM architecture for human activity recognition M Glodek, L Bigalke, M Schels, F Schwenker Proceedings of the 2011 joint ACM workshop on Human gesture and behavior …, 2011	20	2011
On the discovery of events in EEG data utilizing information fusion M Schels, S Scherer, M Glodek, HA Kestler, G Palm, F Schwenker Computational Statistics 28 (1), 5-18, 2011	20	2011
Combination of sequential class distributions from multiple channels using Markov fusion networks M Glodek, M Schels, F Schwenker, G Palm Journal on Multimodal User Interfaces 8, 257-272, 2014	17	2014
Multiple classifier combination using reject options and Markov fusion networks M Glodek, M Schels, G Palm, F Schwenker Proceedings of the 14th ACM international conference on Multimodal …, 2012	17	2012

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