Florian Lingenfelser

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Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityAdresse e-mail validée de informatik.uni-augsburg.de
Johannes WagnerUniversity of AugsburgAdresse e-mail validée de informatik.uni-augsburg.de
Tobias BaurHuman-Centered Artificial Intelligence, University of AugsburgAdresse e-mail validée de uni-a.de
Dominik SchillerUniversität AugsburgAdresse e-mail validée de informatik.uni-augsburg.de
Ionut DamianAugsburg UniversityAdresse e-mail validée de informatik.uni-augsburg.de
Gary McKeownSchool of Psychology, Queen's University BelfastAdresse e-mail validée de qub.ac.uk
Hannes RitschelHuman-Centered Artificial Intelligence, Augsburg UniversityAdresse e-mail validée de informatik.uni-augsburg.de
Klaus WeberAugsburg UniversityAdresse e-mail validée de uni-a.de
Wolfgang MinkerZugehörigkeit unbekanntAdresse e-mail validée de uni-ulm.de
Stefanos VrochidisInformation Technologies Institute - Centre for Research and Technology HellasAdresse e-mail validée de iti.gr
FEDERICO MATEO SUKNOUniversitat Pompeu FabraAdresse e-mail validée de upf.edu
Andreas SeidererAugsburg UniversityAdresse e-mail validée de informatik.uni-augsburg.de
Bilal PiotGoogle DeepmindAdresse e-mail validée de google.com
Radoslaw NiewiadomskiUniversity of GenoaAdresse e-mail validée de unige.it
Antonio LanatàDepartment of information Engineering, University of Florence, ItalyAdresse e-mail validée de unifi.it
Danilo De RossiUniversity of PisaAdresse e-mail validée de unipi.it
Alberto BetellaPhDAdresse e-mail validée de betella.net
Pedro Omedas MoreraCentre de la Imatge i Tecnologia Multimèdia, Universitat Politècnica de Catalunya, Barcelona, SpainAdresse e-mail validée de citm.upc.edu
Riccardo ZuccaFundació Institut Hospital del Mar d’Investigacions Mèdiques (IMIM) University Pompeu Fabra UPFAdresse e-mail validée de upf.edu
Daniele MazzeiAssistant Professor at the computer science department of the University of PisaAdresse e-mail validée de unipi.it

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Florian Lingenfelser

Human Centered Multimedia, Augsburg University

Adresse e-mail validée de hcm-lab.de - Page d'accueil

Machine Learning Affect Recognition Multimodal Fusion


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
The social signal interpretation (SSI) framework: multimodal signal processing and recognition in real-time J Wagner, F Lingenfelser, T Baur, I Damian, F Kistler, E André Proceedings of the 21st ACM international conference on Multimedia, 831-834, 2013	287*	2013
Exploring fusion methods for multimodal emotion recognition with missing data J Wagner, E Andre, F Lingenfelser, J Kim IEEE Transactions on Affective Computing 2 (4), 206-218, 2011	183	2011
The NoXi database: multimodal recordings of mediated novice-expert interactions A Cafaro, J Wagner, T Baur, S Dermouche, M Torres Torres, C Pelachaud, ... Proceedings of the 19th ACM International Conference on Multimodal …, 2017	122	2017
How to shape the humor of a robot-social behavior adaptation based on reinforcement learning K Weber, H Ritschel, I Aslan, F Lingenfelser, E André Proceedings of the 20th ACM international conference on multimodal …, 2018	96	2018
Laugh-aware virtual agent and its impact on user amusement R Niewiadomski, J Hofmann, J Urbain, T Platt, J Wagner, P Bilal, T Ito, ... University of Zurich, 2013	77	2013
Nova: Automated analysis of nonverbal signals in social interactions T Baur, I Damian, F Lingenfelser, J Wagner, E André Human Behavior Understanding: 4th International Workshop, HBU 2013 …, 2013	55	2013
Kristina: A knowledge-based virtual conversation agent L Wanner, E André, J Blat, S Dasiopoulou, M Farrùs, T Fraga, E Kamateri, ... Advances in Practical Applications of Cyber-Physical Multi-Agent Systems …, 2017	54	2017
Context-Aware Automated Analysis and Annotation of Social Human--Agent Interactions T Baur, G Mehlmann, I Damian, F Lingenfelser, J Wagner, B Lugrin, ... ACM Transactions on Interactive Intelligent Systems (TiiS) 5 (2), 1-33, 2015	53	2015
An event driven fusion approach for enjoyment recognition in real-time F Lingenfelser, J Wagner, E André, G McKeown, W Curran Proceedings of the 22nd ACM international conference on Multimedia, 377-386, 2014	52	2014
Social context disambiguates the interpretation of laughter W Curran, GJ McKeown, M Rychlowska, E André, J Wagner, ... Frontiers in Psychology 8, 2342, 2018	48	2018
A systematic discussion of fusion techniques for multi-modal affect recognition tasks F Lingenfelser, J Wagner, E André Proceedings of the 13th international conference on multimodal interfaces, 19-26, 2011	48	2011
NOVA-a tool for eXplainable Cooperative Machine Learning A Heimerl, T Baur, F Lingenfelser, J Wagner, E André 2019 8th International Conference on Affective Computing and Intelligent …, 2019	42	2019
The Belfast storytelling database: A spontaneous social interaction database with laughter focused annotation G McKeown, W Curran, J Wagner, F Lingenfelser, E André 2015 International Conference on Affective Computing and Intelligent …, 2015	33	2015
eXplainable cooperative machine learning with NOVA T Baur, A Heimerl, F Lingenfelser, J Wagner, MF Valstar, B Schuller, ... KI-Künstliche Intelligenz 34, 143-164, 2020	31	2020
Age and gender classification from speech using decision level fusion and ensemble based techniques F Lingenfelser, J Wagner, T Vogt, J Kim, E André Eleventh Annual Conference of the International Speech Communication Association, 2010	31	2010
Real-time adaptation of a robotic joke teller based on human social signals K Weber, H Ritschel, F Lingenfelser, E André	24	2018
Building a robust system for multimodal emotion recognition J Wagner, F Lingenfelser, E André Emotion recognition: A pattern analysis approach, 379-410, 2015	24	2015
Relevance-based feature masking: Improving neural network based whale classification through explainable artificial intelligence D Schiller, T Huber, F Lingenfelser, M Dietz, A Seiderer, E André	21	2019
Ensemble approaches to parametric decision fusion for bimodal emotion recognition J Kim, F Lingenfelser	21	2010
Asynchronous and event-based fusion systems for affect recognition on naturalistic data in comparison to conventional approaches F Lingenfelser, J Wagner, J Deng, R Brueckner, B Schuller, E André IEEE Transactions on Affective Computing 9 (4), 410-423, 2016	20	2016

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