Lukas Stappen

Orcid: 0000-0002-3761-2225

According to our database1, Lukas Stappen authored at least 36 papers between 2019 and 2023.

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Bibliography

2023
A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements.
IEEE Trans. Affect. Comput., 2023

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023

Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Multimodal sentiment analysis in real-life videos.
PhD thesis, 2022

An Estimation of Online Video User Engagement From Features of Time- and Value-Continuous, Dimensional Emotions.
Frontiers Comput. Sci., 2022

A Cross-Corpus Speech-Based Analysis of Escalating Negative Interactions.
Frontiers Comput. Sci., 2022

Predicting Sex and Stroke Success - Computer-aided Player Grunt Analysis in Tennis Matches.
CoRR, 2022

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

2021
An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress.
Frontiers Comput. Sci., 2021

Sentiment Analysis and Topic Recognition in Video Transcriptions.
IEEE Intell. Syst., 2021

An Estimation of Online Video User Engagement from Features of Continuous Emotions.
CoRR, 2021

Unsupervised Graph-based Topic Modeling from Video Transcriptions.
CoRR, 2021

MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021

MuSe 2021 Challenge: Multimodal Emotion, Sentiment, Physiological-Emotion, and Stress Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021

A Physiologically-Adapted Gold Standard for Arousal during Stress.
Proceedings of the MuSe '21: Proceedings of the 2nd on Multimodal Sentiment Analysis Challenge, 2021

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

A Prototypical Network Approach for Evaluating Generated Emotional Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts.
Proceedings of the Seventh IEEE International Conference on Multimedia Big Data, 2021

Uncertainty Aware Review Hallucination for Science Article Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Embracing and Exploiting Annotator Emotional Subjectivity: An Affective Rater Ensemble Model.
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
On classifying sepsis heterogeneity in the ICU: insight using machine learning.
J. Am. Medical Informatics Assoc., 2020

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks.
EURASIP J. Audio Speech Music. Process., 2020

Go-CaRD - Generic, Optical Car Part Recognition and Detection: Collection, Insights, and Applications.
CoRR, 2020

MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop.
CoRR, 2020

Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL.
CoRR, 2020

Summary of MuSe 2020: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 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.
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020

Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus.
Proceedings of the Interspeech 2020, 2020

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks.
Proceedings of the Interspeech 2020, 2020

X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019
From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews.
Proceedings of the Interspeech 2019, 2019

Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives.
Proceedings of the IEEE International Conference on Acoustics, 2019


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