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The 5th Multimodal Sentiment Analysis Challenge (MuSe), a workshop in conjunction with ACM Multimedia '24, is focused on Multimodal Machine Learning in the domain of Affective Computing. Two different sub-challenges are proposed: Social Perception Sub-...

The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge (MuSe-Perception), participants will predict 16 different social attributes of ...

Estimating the momentary level of participant's engagement is an important prerequisite for assistive systems that support human interactions. Previous work has addressed this task in within-domain evaluation scenarios, i.e. training and testing on the ...

The Bebras challenge is an international initiative to engage school pupils with computer science and computational thinking via an annual challenge designed by computer science experts and educators. BeLLE is an international consortium focusing ...

The DEBS Grand Challenge (GC) is a programming competition integrated into the annual ACM International Conference on Distributed and Event-Based Systems (DEBS) since DEBS 2011. The DEBS GC 2024 edition focuses on analyzing real-world telemetry data ...

In this study, we present an approach to utilizing variance in students’ performance across different formats (multiple-choice, numeric input, word problems) as a target for personalization. We have developed a measure called challenge variance, that ...

The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is a set of shared tasks addressing three different contemporary multimodal affect and sentiment analysis problems: In the Mimicked Emotions Sub-Challenge (MuSe-Mimic), participants predict three ...

Automatic analysis of human behaviour is a fundamental prerequisite for the creation of machines that can effectively interact with- and support humans in social interactions. In MultiMediate'23, we address two key human social behaviour analysis tasks ...

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the Emotion Share Sub-Challenge, a regression on speech has to be made; and in ...

The 4th Multimodal Sentiment Analysis Challenge (MuSe) focuses on Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects. The workshop takes place in conjunction with ACM Multimedia'23. We provide three ...

While there were already some privacy challenges organized in the domain of data sanitization, they have mainly focused on the defense side of the problem. To favor the organization of successful challenges focusing on attacks, we introduce the SNAKE ...

Measuring perceived challenge and demand in video games is crucial as these player experiences are essential to creating enjoyable games. Two recent measures that identified seemingly distinct structures of challenge (Challenge Originating from Recent ...

CodaLab Competitions is an open source web platform designed to help data scientists and research teams to crowd-source the resolution of machine learning problems through the organization of competitions, also called challenges or contests. CodaLab ...

With the scaling up of high-performance computing systems in recent years, their reliability has been descending continuously. Therefore, system resilience has been regarded as one of the critical challenges for large-scale HPC systems. Various ...

This work explores the use of functional Near Infrared Spectroscopy (fNIRS) to assess cognitive activity during videogame play, and compare it to cognitive activity during cognitive tasks that assess executive control. To this end, we assessed ...

With the recent development of Deep Learning applied to Computer Vision, sport video understanding has gained a lot of attention, providing much richer information for both sport consumers and leagues. This paper introduces DeepSportradar-v1, a suite of ...

The Multimodal Sentiment Analysis Challenge (MuSe) 2022 is dedicated to multimodal sentiment and emotion recognition. For this year's challenge, we feature three datasets: (i) the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset that ...

The 3rd Multimodal Sentiment Analysis Challenge (MuSe) focuses on multimodal affective computing. The workshop is held in conjunction with ACM Multimedia'22. Three datasets are provided as part of the challenge: (i) the Passau Spontaneous Football Coach ...

The ACM Multimedia 2022 Stuttering Challenge is to determine the stuttering-related class of a speech segment. There are seven stuttering-related classes and an eighth garbage class. For this purpose, we have investigated the Wav2Vec 2.0 deep neural ...

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Vocalisations and Stuttering Sub-Challenges, a classification on human ...