no code implementations • 19 Mar 2024 • Denis Dresvyanskiy, Maxim Markitantov, Jiawei Yu, Peitong Li, Heysem Kaya, Alexey Karpov
As emotions play a central role in human communication, automatic emotion recognition has attracted increasing attention in the last two decades.
no code implementations • 19 Mar 2024 • Elena Ryumina, Maxim Markitantov, Dmitry Ryumin, Heysem Kaya, Alexey Karpov
This paper presents the results of the SUN team for the Compound Expressions Recognition Challenge of the 6th ABAW Competition.
no code implementations • 13 Dec 2023 • Florian van der Steen, Fré Vink, Heysem Kaya
We show that using the Laplacian mechanism, the method is able to estimate SP with low error while guaranteeing the privacy of the individuals in the dataset with high certainty.
no code implementations • 15 Dec 2022 • Gizem Sogancioglu, Heysem Kaya
We use contextual and non-contextual embeddings that are trained on domain-independent as well as clinical domain-specific data.
no code implementations • 17 May 2022 • Thomas Borger, Pablo Mosteiro, Heysem Kaya, Emil Rijcken, Albert Ali Salah, Floortje Scheepers, Marco Spruit
In this work, we investigate the application of Federated Learning to clinical Natural Language Processing, applied to the task of Violence Risk Assessment by simulating a cross-institutional psychiatric setting.
no code implementations • 5 Feb 2022 • Pınar Baki, Heysem Kaya, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah
Bipolar disorder is a mental disorder that causes periods of manic and depressive episodes.
no code implementations • 24 Feb 2021 • Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Leon J. M. Rothkrantz, Joeri Zwerts, Jelle Treep, Casper Kaandorp
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech; in the Escalation SubChallenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Sub-Challenge, four species vs background need to be classified.
no code implementations • 25 Jan 2021 • Joeri A. Zwerts, Jelle Treep, Casper S. Kaandorp, Floor Meewis, Amparo C. Koot, Heysem Kaya
Automated classification of animal vocalisations is a potentially powerful wildlife monitoring tool.
no code implementations • 7 Oct 2020 • Denis Dresvyanskiy, Elena Ryumina, Heysem Kaya, Maxim Markitantov, Alexey Karpov, Wolfgang Minker
In this paper, we present our contribution to ABAW facial expression challenge.
1 code implementation • 7 Sep 2020 • Gizem Soğancıoğlu, Oxana Verkholyak, Heysem Kaya, Dmitrii Fedotov, Tobias Cadèe, Albert Ali Salah, Alexey Karpov
Acoustic and linguistic analysis for elderly emotion recognition is an under-studied and challenging research direction, but essential for the creation of digital assistants for the elderly, as well as unobtrusive telemonitoring of elderly in their residences for mental healthcare purposes.
no code implementations • 2 Feb 2018 • Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Gucluturk, Umut Guclu, Xavier Baro, Isabelle Guyon, Julio Jacques Junior, Meysam Madadi, Stephane Ayache, Evelyne Viegas, Furkan Gurpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
Explainability and interpretability are two critical aspects of decision support systems.
1 code implementation • 10 Jul 2015 • Heysem Kaya, Albert Ali Salah
A mixture of factor analyzers is a semi-parametric density estimator that generalizes the well-known mixtures of Gaussians model by allowing each Gaussian in the mixture to be represented in a different lower-dimensional manifold.