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Ronald Böck
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2020 – today
- 2023
- [j10]Ronald Böck
:
Group Leader vs. Remaining Group - Whose Data Should Be Used for Prediction of Team Performance? Multimodal Technol. Interact. 7(9): 90 (2023) - [c44]Ronald Böck, Siddarth Venkateswaran, Thi Nguyen, Dominik Durner:
Textual Descriptions Used for Classification of Oaked vs Unoaked Wines. GI-Jahrestagung 2023: 1591-1598 - 2022
- [j9]Ronald Böck, Joseph A. Allen:
Editorial: Group analysis and multi-agent interaction - Bridging the gap between social investigations and computational analysis. Frontiers Comput. Sci. 4 (2022) - [j8]Norman Weißkirchen, Ronald Böck:
Behaviour of True Artificial Peers. Multimodal Technol. Interact. 6(8): 64 (2022) - 2021
- [j7]Ronald Böck:
Affects in Groups: A review on automated affect processing and estimation in groups. IEEE Signal Process. Mag. 38(6): 74-83 (2021) - [c43]Jannes Bützer, Ronald Böck:
Comparison of Head and Body Movement Patterns in Naturalistic Human-Machine Interaction. ACII (Workshops and Demos) 2021: 1-7 - [c42]Oliver Niebuhr
On the Sound of Successful Meetings: How Speech Prosody Predicts Meeting Performance. ICMI Companion 2021: 240-248 - 2020
- [c41]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth:
Towards True Artificial Peers. ICHMS 2020: 1-5
2010 – 2019
- 2019
- [c40]Tilman Krokotsch, Ronald Böck:
Generative Adversarial Networks and Simulated+Unsupervised Learning in Affect Recognition from Speech. ACII 2019: 28-34 - [c39]Ronald Böck, Britta Wrede:
Modelling Contexts for Interactions in Dynamic Open-World Scenarios. SMC 2019: 1459-1464 - [p3]Ronald Böck, Olga Egorow, Juliane Höbel-Müller, Alicia Flores Requardt, Ingo Siegert, Andreas Wendemuth:
Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions. Innovations in Big Data Mining and Embedded Knowledge 2019: 203-233 - 2018
- [j6]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition. Comput. Speech Lang. 51: 1-23 (2018) - [c38]Ronald Böck:
Recognition of Human Movement Patterns during a Human-Agent Interaction. MA3HMI@ICMI 2018: 33-37 - [c37]Ronald Böck, Francesca Bonin, Nick Campbell, Ronald Poppe:
International Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction (Workshop Summary). ICMI 2018: 666-667 - [c36]Andreas Wendemuth, Ronald Böck, Andreas Nürnberger, Ayoub Al-Hamadi, André Brechmann
Intention-Based Anticipatory Interactive Systems. SMC 2018: 2583-2588 - [c35]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth, Andreas Nürnberger:
Significance of Feature Differences in the Distinction of Mental-Load. SMC 2018: 2608-2613 - 2017
- [c34]Norman Weißkirchen, Ronald Böck, Andreas Wendemuth:
Recognition of emotional speech with convolutional neural networks by means of spectral estimates. ACII Workshops 2017: 50-55 - [c33]Olga Egorow, Alicia Flores Lotz, Ingo Siegert, Ronald Böck, Julia Krüger, Andreas Wendemuth:
Accelerating manual annotation of filled pauses by automatic pre-selection. ICCT 2017: 1-6 - [c32]Ronald Böck, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Comparative Study on Normalisation in Emotion Recognition from Speech. IHCI 2017: 189-201 - [c31]Stefan Glüge, Ronald Böck, Thomas Ott:
Emotion Recognition from Speech using Representation Learning in Extreme Learning Machines. IJCCI 2017: 179-185 - [p2]Friedhelm Schwenker, Ronald Böck, Martin Schels, Sascha Meudt, Ingo Siegert, Michael Glodek, Markus Kächele, Miriam Schmidt-Wack, Patrick Thiam, Andreas Wendemuth, Gerald Krell:
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems. Companion Technology 2017: 387-408 - [p1]Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm:
Emotion Recognition from Speech. Companion Technology 2017: 409-428 - 2016
- [c30]Ronald Böck, Francesca Bonin
International workshop on multimodal analyses enabling artificial agents in human- machine interaction (workshop summary). ICMI 2016: 604-605 - [e4]Ronald Böck, Francesca Bonin, Nick Campbell, Ronald Poppe:
Proceedings of the Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction, MA3HMI@ICMI 2016, Tokyo, Japan, November 16, 2016. ACM 2016, ISBN 978-1-4503-4562-0 [contents] - 2015
- [c29]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko:
Exploring dataset similarities using PCA-based feature selection. ACII 2015: 387-393 - [c28]Ingo Siegert, Ronald Böck, Andreas Wendemuth, Bogdan Vlasenko, Kerstin Ohnemus:
Overlapping speech, utterance duration and affective content in HHI and HCI - An comparison. CogInfoCom 2015: 83-88 - [c27]Kim Hartmann, Ingo Siegert, Björn W. Schuller
ERM4CT 2015: Workshop on Emotion Representations and Modelling for Companion Systems. ERM4CT@ICMI 2015: 1-2 - [c26]Ronald Böck, Ingo Siegert:
Recognising Emotional Evolution from Speech. ERM4CT@ICMI 2015: 13-18 - [e3]Kim Hartmann, Ingo Siegert, Björn W. Schuller, Louis-Philippe Morency, Albert Ali Salah, Ronald Böck:
Proceedings of the International Workshop on Emotion Representations and Modelling for Companion Technologies, ERM4CT@ICMI 2015, Seattle, Washington, USA, November 13, 2015. ACM 2015, ISBN 978-1-4503-3988-9 [contents] - [e2]Ronald Böck, Francesca Bonin
Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction - Second International Workshop, MA3HMI 2014, Held in Conjunction with INTERSPEECH 2014, Singapore, Singapore, September 14, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8757, Springer 2015, ISBN 978-3-319-15556-2 [contents] - 2014
- [j5]Ingo Siegert, David Philippou-Hübner, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigation of Speaker Group-Dependent Modelling for Recognition of Affective States from Speech. Cogn. Comput. 6(4): 892-913 (2014) - [j4]Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth:
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Comput. Speech Lang. 28(2): 483-500 (2014) - [j3]Stefan Glüge
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. Neurocomputing 141: 54-64 (2014) - [j2]Ronald Poppe, Ronald Böck, Francesca Bonin
From multimodal analysis to real-time interactions with virtual agents. J. Multimodal User Interfaces 8(1): 1-3 (2014) - [j1]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Inter-rater reliability for emotion annotation in human-computer interaction: comparison and methodological improvements. J. Multimodal User Interfaces 8(1): 17-28 (2014) - [c25]Kim Hartmann, Björn W. Schuller, Ronald Böck:
ERM4HCI 2014: The 2nd Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems. ICMI 2014: 525-526 - [c24]Ronald Böck, Kirsten Bergmann, Petra Jaecks:
Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures. MA3HMI@INTERSPEECH 2014: 57-66 - [e1]Kim Hartmann, Björn W. Schuller, Klaus R. Scherer, Ronald Böck:
Proceedings of the 2014 workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems, ERM4HCI@ICMI 2014, Istanbul, Turkey, November 16, 2014. ACM 2014, ISBN 978-1-4503-0124-4 [contents] - 2013
- [b1]Ronald Böck:
Multimodal automatic user disposition recognition in human-machine interaction. Otto von Guericke University Magdeburg, 2013 - [c23]Ronald Böck, Stefan Glüge
Annotation and Classification of Changes of Involvement in Group Conversation. ACII 2013: 803-808 - [c22]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Auto-encoder pre-training of segmented-memory recurrent neural networks. ESANN 2013 - [c21]Ronald Böck, Kerstin Limbrecht-Ecklundt, Ingo Siegert, Steffen Walter, Andreas Wendemuth:
Audio-Based Pre-classification for Semi-automatic Facial Expression Coding. HCI (5) 2013: 301-309 - [c20]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
The Influence of Context Knowledge for Multi-modal Affective Annotation. HCI (5) 2013: 381-390 - [c19]Kim Hartmann, Ronald Böck, Christian Becker-Asano, Jonathan Gratch, Björn W. Schuller
ERM4HCI 2013: the 1st workshop on emotion representation and modelling in human-computer-interaction-systems. ICMI 2013: 607-608 - [c18]Ronald Böck, Stefan Glüge, Andreas Wendemuth:
Dempster-Shafer Theory with Smoothness. IUKM 2013: 13-22 - [c17]Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. WIRN 2013: 387-394 - 2012
- [c16]Ronald Böck, Stefan Glüge
Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction. CogSIMA 2012: 59-64 - [c15]David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth:
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME 2012: 248-253 - [c14]David Philippou-Hübner, Bogdan Vlasenko, Ronald Böck, Andreas Wendemuth:
The Performance of the Speaking Rate Parameter in Emotion Recognition from Speech. ICME Workshops 2012: 296-301 - [c13]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks. IJCCI 2012: 451-456 - [c12]Francesca Bonin
How Do We React to Context? Annotation of Individual and Group Engagement in a Video Corpus. SocialCom/PASSAT 2012: 899-903 - 2011
- [c11]Ronald Böck, Ingo Siegert, Matthias Haase, Julia Lange, Andreas Wendemuth:
ikannotate - A Tool for Labelling, Transcription, and Annotation of Emotionally Coloured Speech. ACII (1) 2011: 25-34 - [c10]Ingo Siegert, Ronald Böck, Andreas Wendemuth:
Modeling Users' Mood State to Improve Human-Machine-Interaction. COST 2102 Training School 2011: 273-279 - [c9]Steffen Walter, Stefan Scherer, Martin Schels, Michael Glodek, David Hrabal, Miriam Schmidt, Ronald Böck, Kerstin Limbrecht, Harald C. Traue, Friedhelm Schwenker:
Multimodal Emotion Classification in Naturalistic User Behavior. HCI (3) 2011: 603-611 - [c8]Ingo Siegert, Ronald Böck, Bogdan Vlasenko, David Philippou-Hübner, Andreas Wendemuth:
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins. ICME 2011: 1-6 - [c7]Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal emotions. ICME 2011: 1-6 - [c6]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. IJCCI (NCTA) 2011: 308-315 - 2010
- [c5]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. IJCCI (ICFC-ICNC) 2010: 279-288
2000 – 2009
- 2009
- [c4]Rainer Knauf, Ronald Boeck, Yoshitaka Sakurai, Setsuo Tsuruta:
Knowledge Engineering with Didactic Knowledge - First Steps towards an Ultimate Goal. FLAIRS 2009 - 2008
- [c3]Rainer Knauf, Ronald Boeck, Yoshitaka Sakurai, Setsuo Tsuruta:
A Priori Evaluation and Refinement of Curricula by Data Mining over Storyboards. FLAIRS 2008: 335-340 - [c2]Ronald Boeck, Rainer Knauf, Yoshitaka Sakurai, Setsuo Tsuruta:
Methods for Path Evaluation in Dynamic Storyboards. ICALT 2008: 614-616 - [c1]Rainer Knauf, Ronald Böck, Yoshitaka Sakurai, Shinichi Dohi, Setsuo Tsuruta:
Knowledge mining for supporting learning processes. SMC 2008: 2615-2621
Coauthor Index
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