Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives. - Lukas Stappen; Nicholas Cummins; Eva-Maria Meßner; Harald Baumeister; Judith Dineley; Björn W. Schuller (ICASSP, 2019)

Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. - Shahin Amiriparian; Arsany Awad; Maurice Gerczuk; Lukas Stappen; Alice Baird; Sandra Ottl; Björn W. Schuller (IJCNN, 2019)

A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. - Adria Mallol-Ragolta; Ziping Zhao 001; Lukas Stappen; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2019)

From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks. - Lukas Stappen; Vincent Karas; Nicholas Cummins; Fabien Ringeval; Klaus R. Scherer; Björn W. Schuller (MMSP, 2019)

X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild. - Lukas Stappen; Georgios Rizos; Björn W. Schuller (ICMI, 2020)

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. - Björn W. Schuller; Anton Batliner; Christian Bergler; Eva-Maria Messner; Antonia F. de C. Hamilton; Shahin Amiriparian; Alice Baird; Georgios Rizos; Maximilian Schmitt; Lukas Stappen; Harald Baumeister; Alexis Deighton MacIntyre; et al. (INTERSPEECH, 2020)

Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus. - Lukas Stappen; Georgios Rizos; Madina Hasan; Thomas Hain; Björn W. Schuller (INTERSPEECH, 2020)

MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild. - Lukas Stappen; Alice Baird; Georgios Rizos; Panagiotis Tzirakis; Xinchen Du; Felix Hafner; Lea Schumann; Adria Mallol-Ragolta; Björn W. Schuller; Iulia Lefter; Erik Cambria; Ioannis Kompatsiaris (MuSe @ ACM Multimedia, 2020)

Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media. - Lukas Stappen; Björn W. Schuller; Iulia Lefter; Erik Cambria; Ioannis Kompatsiaris (ACM Multimedia, 2020)

Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL. - Lukas Stappen; Fabian Brunn; Björn W. Schuller (CoRR, 2020)

MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop. - Lukas Stappen; Alice Baird; Georgios Rizos; Panagiotis Tzirakis; Xinchen Du; Felix Hafner; Lea Schumann; Adria Mallol-Ragolta; Björn W. Schuller; Iulia Lefter; Erik Cambria; Ioannis Kompatsiaris (CoRR, 2020)

Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications. - Lukas Stappen; Xinchen Du; Vincent Karas; Stefan Müller; Björn W. Schuller (CoRR, 2020)

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Lukas Stappen; Alice Baird; Lukas Koebe; Björn W. Schuller (EURASIP J. Audio Speech Music. Process., 2020)

On classifying sepsis heterogeneity in the ICU: insight using machine learning. - Zina M. Ibrahim; Honghan Wu; Ahmed Hamoud; Lukas Stappen; Richard J. B. Dobson; Andrea Agarossi (J. Am. Medical Informatics Assoc., 2020)

Embracing and Exploiting Annotator Emotional Subjectivity: An Affective Rater Ensemble Model. - Lukas Stappen; Lea Schumann; Anton Batliner; Björn W. Schuller (ACII (Workshops and Demos), 2021)

Uncertainty Aware Review Hallucination for Science Article Classification. - Korbinian Friedl; Georgios Rizos; Lukas Stappen; Madina Hasan; Lucia Specia; Thomas Hain; Björn W. Schuller (ACL/IJCNLP (Findings), 2021)

GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts. - Jason Thies; Lukas Stappen; Gerhard Hagerer; Björn W. Schuller; Georg Groh (BigMM, 2021)

A Prototypical Network Approach for Evaluating Generated Emotional Speech. - Alice Baird; Silvan Mertes; Manuel Milling; Lukas Stappen; Thomas Wiest; Elisabeth André; Björn W. Schuller (Interspeech, 2021)

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. - Björn W. Schuller; Anton Batliner; Christian Bergler; Cecilia Mascolo; Jing Han 010; Iulia Lefter; Heysem Kaya; Shahin Amiriparian; Alice Baird; Lukas Stappen; Sandra Ottl; Maurice Gerczuk; et al. (Interspeech, 2021)

A Physiologically-Adapted Gold Standard for Arousal during Stress. - Alice Baird; Lukas Stappen; Lukas Christ; Lea Schumann; Eva-Maria Messner; Björn W. Schuller (MuSe @ ACM Multimedia, 2021)

The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress. - Lukas Stappen; Alice Baird; Lukas Christ; Lea Schumann; Benjamin Sertolli; Eva-Maria Meßner; Erik Cambria; Guoying Zhao 001; Björn W. Schuller (MuSe @ ACM Multimedia, 2021)

MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection. - Lukas Stappen; Eva-Maria Meßner; Erik Cambria; Guoying Zhao 001; Björn W. Schuller (ACM Multimedia, 2021)

MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox. - Lukas Stappen; Lea Schumann; Benjamin Sertolli; Alice Baird; Benjamin Weigel; Erik Cambria; Björn W. Schuller (MuSe @ ACM Multimedia, 2021)

Unsupervised Graph-based Topic Modeling from Video Transcriptions. - Lukas Stappen; Gerhard Hagerer; Björn W. Schuller; Georg Groh (CoRR, 2021)

An Estimation of Online Video User Engagement from Features of Continuous Emotions. - Lukas Stappen; Alice Baird; Michelle Lienhart; Annalena Bätz; Björn W. Schuller (CoRR, 2021)

Sentiment Analysis and Topic Recognition in Video Transcriptions. - Lukas Stappen; Alice Baird; Erik Cambria; Björn W. Schuller (IEEE Intell. Syst., 2021)

An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress. - Alice Baird; Andreas Triantafyllopoulos; Sandra Zänkert; Sandra Ottl; Lukas Christ; Lukas Stappen; Julian Konzok; Sarah Sturmbauer; Eva-Maria Meßner; Brigitte M. Kudielka; Nicolas Rohleder; Harald Baumeister; et al. (Frontiers Comput. Sci., 2021)

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. - Lukas Christ; Shahin Amiriparian; Alice Baird; Panagiotis Tzirakis; Alexander Kathan; Niklas Müller; Lukas Stappen; Eva-Maria Meßner; Andreas König 007; Alan Cowen; Erik Cambria; Björn W. Schuller (MuSe @ ACM Multimedia, 2022)

Predicting Sex and Stroke Success - Computer-aided Player Grunt Analysis in Tennis Matches. - Lukas Stappen; Manuel Milling; Valentin Munst; Korakot Hoffmann; Björn W. Schuller (CoRR, 2022)

A Cross-Corpus Speech-Based Analysis of Escalating Negative Interactions. - Iulia Lefter; Alice Baird; Lukas Stappen; Björn W. Schuller (Frontiers Comput. Sci., 2022)

An Estimation of Online Video User Engagement From Features of Time- and Value-Continuous, Dimensional Emotions. - Lukas Stappen; Alice Baird; Michelle Lienhart; Annalena Bätz; Björn W. Schuller (Frontiers Comput. Sci., 2022)

Multimodal sentiment analysis in real-life videos. - Lukas Stappen (2022)

Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems. - Lukas Stappen; Jeremy Dillmann; Serena Striegel; Hans-Jörg Vögel; Nicolas Flores-Herr; Björn W. Schuller (ITSC, 2023)

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. - Lukas Christ; Shahin Amiriparian; Alice Baird; Alexander Kathan; Niklas Müller; Steffen Klug; Chris Gagne 001; Panagiotis Tzirakis; Lukas Stappen; Eva-Maria Meßner; Andreas König 007; Alan Cowen; et al. (MuSe@ACM Multimedia, 2023)

The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements. - Lukas Stappen; Alice Baird; Lea Schumann; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

A summary of the ComParE COVID-19 challenges. - Harry Coppock; Alican Akman; Christian Bergler; Maurice Gerczuk; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Jing Han 010; et al. (Frontiers Digit. Health, 2023)

The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. - Shahin Amiriparian; Lukas Christ; Alexander Kathan; Maurice Gerczuk; Niklas Müller; Steffen Klug; Lukas Stappen; Andreas König 007; Erik Cambria; Björn W. Schuller; Simone Eulitz (MuSe@ACM Multimedia, 2024)

Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems. - Sebastian Schmidt 006; Lukas Stappen; Leo Schwinn; Stephan Günnemann (IEEE Robotics Autom. Lett., 2024)

CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding. - Johannes Kirmayr; Lukas Stappen; Phillip Schneider; Florian Matthes; Elisabeth André (COLING (Industry), 2025)