Tobias Hallmen, Silvan Mertes, Dominik Schiller and Elisabeth André. in press. An efficient multitask learning architecture for affective vocal burst analysis. preprint. DOI: 10.48550/arXiv.2209.13914
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Dominik Schiller, Tobias Hallmen, Daksitha Withanage Don, Elisabeth André and Tobias Baur. in press. DISCOVER: a Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of human behaviour. preprint. DOI: 10.48550/arXiv.2407.13408
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Brian Schwartz, A. Vehlen, S. T. Eberhardt, Tobias Baur, Dominik Schiller, Tobias Hallmen, Elisabeth André and W. Lutz. in press. Going multimodal and multimethod using different data layers of video recordings to predict outcome in psychological therapy. Clinical Psychological Science (special issue on Multidisciplinary Clinical Psychological Science) .
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Daksitha Senel Withanage Don, Dominik Schiller, Tobias Hallmen, Silvan Mertes, Tobias Baur, Florian Lingenfelser, Mitho Müller, Lea Kaubisch, Corinna Reck and Elisabeth André. 2024. Towards automated annotation of infant-caregiver engagement phases with multimodal foundation models. In ICMI '24: International Conference on Multimodel Interaction, San Jose, Costa Rica, November 4-8, 2024. ACM, New York, NY, 428-438 DOI: 10.1145/3678957.3685704
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Antonia Vehlen, Steffen Eberhardt, Brian Schwartz, Tobias Baur, Dominik Schiller, Tobias Hallmen, Elisabeth André and Wolfgang Lutz. 2024. Verstehst du mich? Die Qualität automatischer Transkriptionen von Therapievideos im Kontext von Emotionsanalysen [Abstract]. In Ulrich Ansorge, Daniel Gugerell, Ulrich Pomper, Bence Szaszkó, Lena Werner (Eds.). 53rd DGPs Congress / 15th ÖGP Conference, September 16-19, 2024, Vienna, Austria: abstracts. Universität Wien, Wien, 740-741
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Tobias Hallmen, Silvan Mertes, Dominik Schiller, Florian Lingenfelser and Elisabeth André. 2023. Phoneme-based multi-task assessment of affective vocal bursts. In Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone (Eds.). Deep Learning Theory and Applications: 4th International Conference, DeLTA 2023, Rome, Italy, July 13–14, 2023, proceedings. Springer Nature, Cham, 209-222 DOI: 10.1007/978-3-031-39059-3_14
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Pooja Prajod, Dominik Schiller, Tobias Huber and Elisabeth André. 2022. Do deep neural networks forget facial action units? - Exploring the effects of transfer learning in health related facial expression recognition. In Arash Shaban-Nejad, Martin Michalowski and Simone Bianco (Ed.). AI for disease surveillance and pandemic intelligence: intelligent disease detection in action. Springer, Cham (Studies in Computational Intelligence ; 1013), 217-233. DOI: 10.1007/978-3-030-93080-6_16
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Patrick Terhürne, Brian Schwartz, Tobias Baur, Dominik Schiller, Steffen T. Eberhardt, Elisabeth André and Wolfgang Lutz. 2022. Validation and application of the Non-Verbal Behavior Analyzer: an automated tool to assess non-verbal emotional expressions in psychotherapy. Frontiers in Psychiatry 13, 1026015. DOI: 10.3389/fpsyt.2022.1026015
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Alexander Heimerl, Linda Becker, Dominik Schiller, Tobias Baur, Fabian Wildgrube, Nicolas Rohleder and Elisabeth André. 2022. We've never been eye to eye: a pupillometry pipeline for the detection of stress and negative affect in remote working scenarios. In Fillia Makedon (Ed.). PETRA '22: proceedings of the 15th International Conference on Pervasive Technologies Related to Assistive Environments, 29 June - 1 July 2022, Corfu, Greece. ACM, New York, NY, 486-493 DOI: 10.1145/3529190.3534729
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Dominik Schiller, Silvan Mertes, Pol van Rijn and Elisabeth André. 2021. Analysis by synthesis: using an expressive TTS model as feature extractor for paralinguistic speech classification. In Hynek Heřmanský, Honza Černocký, Lukáš Burget, Lori Lamel, Odette Scharenborg and Petr Motlicek (Ed.). Interspeech 2021, Brno, Czechia, 30 August - 3 September 2021. ISCA, Baixas, 486-490. DOI: 10.21437/interspeech.2021-1587
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Pol van Rijn, Silvan Mertes, Dominik Schiller, Peter M. C. Harrison, Pauline Larrouy-Maestri, Elisabeth André and Nori Jacoby. 2021. Exploring emotional prototypes in a high dimensional TTS latent space. In Hynek Heřmanský, Honza Černocký, Lukáš Burget, Lori Lamel, Odette Scharenborg and Petr Motlicek (Ed.). Interspeech 2021, Brno, Czechia, 30 August - 3 September 2021. ISCA, Baixas, 3870-3874. DOI: 10.21437/interspeech.2021-1538
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Katharina Weitz, Dominik Schiller, Ruben Schlagowski, Tobias Huber and Elisabeth André. 2020. "Let me explain!": exploring the potential of virtual agents in explainable AI interaction design. Journal on Multimodal User Interfaces 15, 87-98. DOI: 10.1007/s12193-020-00332-0
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Silvan Mertes, Alice Baird, Dominik Schiller, Björn Schuller and Elisabeth André. 2020. An evolutionary-based generative approach for audio data augmentation. In Atanas Gotchev, Dong Tian and Joao Ascenso (Ed.). 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 21-24 Sept. 2020, Tampere, Finland. IEEE, Piscataway, NJ, 1-6. DOI: 10.1109/mmsp48831.2020.9287156
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Dominik Schiller, Silvan Mertes and Elisabeth André. 2020. Embedded emotions - a data driven approach to learn transferable feature representations from raw speech input for emotion recognition. preprint.
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Dominik Schiller, Tobias Huber, Michael Dietz and Elisabeth André. 2020. Relevance-based data masking: a model-agnostic transfer learning approach for facial expression recognition. Frontiers in Computer Science 2, 6. DOI: 10.3389/fcomp.2020.00006
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Katharina Weitz, Dominik Schiller, Ruben Schlagowski, Tobias Huber and Elisabeth André. 2019. "Do you trust me?" Increasing user-trust by integrating virtual agents in explainable AI interaction design. In Catherine Pelachaud, Jean-Claude Martin, Hendrik Buschmeier, Gale Lucas and Stefan Kopp (Ed.). Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents - IVA '19, Paris, France, July 02 - 05, 2019. ACM Press, New York, NY, 7-9. DOI: 10.1145/3308532.3329441
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Tobias Huber, Dominik Schiller and Elisabeth André. 2019. Enhancing explainability of deep reinforcement learning through selective layer-wise relevance propagation. Lecture Notes in Computer Science 11793, 188-202. DOI: 10.1007/978-3-030-30179-8_16
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Dominik Schiller, Katharina Weitz, Kathrin Janowski and Elisabeth André. 2019. Human-inspired socially-aware interfaces. Lecture Notes in Computer Science 11934, 41-53. DOI: 10.1007/978-3-030-34500-6_2
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Simon Flutura, Andreas Seiderer, Ilhan Aslan, Michael Dietz, Dominik Schiller, Christoph Beck, Joachim Rathmann and Elisabeth André. 2019. Mobile sensing for wellbeing estimation of urban green using physiological signals. In Armir Bujari, Pietro Manzoni, Anna Forster, Edjair Mota and Ombretta Gaggi (Ed.). Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good - GoodTechs '19, Valencia, Spain, September 25 - 27, 2019. ACM Press, New York, NY, 249-254. DOI: 10.1145/3342428.3342655
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Dominik Schiller, Tobias Huber, Florian Lingenfelser, Michael Dietz, Andreas Seiderer and Elisabeth André. 2019. Relevance-based feature masking: improving neural network based whale classification through explainable artificial intelligence. In Gernot Kubin, Zdravko Kačič (Eds.). Interspeech 2019, 15-19 September 2019, Graz. ISCA, 2423-2427 DOI: 10.21437/interspeech.2019-2707
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Michael Dietz, Ilhan Aslan, Dominik Schiller, Simon Flutura, Anika Steinert, Robert Klebbe and Elisabeth André. 2019. Stress annotations from older adults - exploring the foundations for mobile ML-based health assistance. In Oscar Mayora, Stefano Forti, Jochen Meyer and Lena Mamykina (Ed.). Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - PervasiveHealth'19, Trento, Italy, May 20 - 23, 2019. ACM Press, New York, NY, 149-158. DOI: 10.1145/3329189.3329197
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Johannes Wagner, Dominik Schiller, Andreas Seiderer and Elisabeth André. 2018. Deep learning in paralinguistic recognition tasks: are hand-crafted features still relevant?. In B. Yegnanarayana (Ed.). Interspeech 2018, 2-6 September 2018, Hyderabad. ISCA, 147-151 DOI: 10.21437/interspeech.2018-1238
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Simon Flutura, Andreas Seiderer, Ilhan Aslan, Chi Tai Dang, Raphael Schwarz, Dominik Schiller and Elisabeth André. 2018. DrinkWatch: a mobile wellbeing application based on interactive and cooperative machine learning. In Patty Kostkova, Floriana Grasso, Carlos Castillo, Yelena Mejova, Arnold Bosman and Michael Edelstein (Ed.). Proceedings of the 2018 International Conference on Digital Health - DH '18, Lyon, France, April 23 - 26, 2018. ACM Press, New York, NY, 65-74. DOI: 10.1145/3194658.3194666
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Johannes Wagner, Tobias Baur, Dominik Schiller, Yue Zhang, Björn Schuller, Michel Valstar and Elisabeth André. 2018. Show me what you've learned: applying cooperative machine learning for the semi-automated annotation of social signals. In IJCAI/ECAI 2018 Workshop on Explainable Artificial Intelligence (XAI), 13 July 2018, Stockholm, Sweden.
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Christian Roletscheck, Tobias Watzka, Andreas Seiderer, Dominik Schiller and Elisabeth André. 2018. Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification. In M. D. Plumbley, C. Kroos, J. P. Bello, G. Richard, D. P. W. Ellis, A. Mesaros (Eds.). Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), Surrey, UK, 19-20 November 2018. Tampere University of Technology, Tampere, 158-162
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Leo Wanner, Elisabeth André, Josep Blat, Stamatia Dasiopoulou, Mireia Farrús, Thiago Fraga, Eleni Kamateri, Florian Lingenfelser, Gerard Llorach, Oriol Martínez, Georgios Meditskos, Simon Mille, Wolfgang Minker, Louisa Pragst, Dominik Schiller, Andries Stam, Ludo Stellingwerff, Federico Sukno, Bianca Vieru and Stefanos Vrochidis. 2017. Design of a knowledge-based agent as a social companion. Procedia Computer Science 121, 920-926. DOI: 10.1016/j.procs.2017.11.119
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Johannes Wagner, Thiago Fraga-Silva, Yvan Josse, Dominik Schiller, Andreas Seiderer and Elisabeth André. 2017. Infected phonemes: how a cold impairs speech on a phonetic level. In Francisco Lacerda (Ed.). Interspeech 2017, 20-24 August 2017, Stockholm. ISCA, Baixas, 3457-3461 DOI: 10.21437/interspeech.2017-1066
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Leo Wanner, Elisabeth André, Josep Blat, Stamatia Dasiopoulou, Mireia Farrùs, Thiago Fraga, Eleni Kamateri, Florian Lingenfelser, Gerard Llorach, Oriol Martínez, Georgios Meditskos, Simon Mille, Wolfgang Minker, Louisa Pragst, Dominik Schiller, Andries Stam, Ludo Stellingwerff, Federico Sukno, Bianca Vieru and Stefanos Vrochidis. 2017. KRISTINA: a knowledge-based virtual conversation agent. In Yves Demazeau, Paul Davidsson, Javier Bajo and Zita Vale (Ed.). Advances in practical applications of cyber-physical multi-agent systems: the PAAMS Collection: 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017. Springer, Berlin (Lecture Notes in Computer Science ; 10349), 284-295. DOI: 10.1007/978-3-319-59930-4_23
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Federico Sukno, Mónica Domínguez, Adria Ruiz, Dominik Schiller, Florian Lingenfelser, Louisa Pragst, Ekeni Kamateri and Stefanos Vrochidis. 2016. A multimodal annotation schema for non-verbal affective analysis in the health-care domain. In Stefanos Vrochidis, Leo Wanner, Elisabeth André and Stephanie Elzer Schwartz (Ed.). Proceedings of the 1st International Workshop on Multimedia Analysis and Retrieval for Multimodal Interaction - MARMI '16, New York, NY, USA, June 06, 2016. ACM Press, New York, NY, 9-14. DOI: 10.1145/2927006.2927008
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Tobias Baur, Dominik Schiller and Elisabeth André. 2016. Modeling user’s social attitude in a conversational system. In Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić and Andrej Košir (Ed.). Emotions and Personality in Personalized Services: Models, Evaluation and Applications. Springer International, Cham [u.a.] (Human–Computer Interaction Series), 181-199. DOI: 10.1007/978-3-319-31413-6_10
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