Zobrazeno 1 - 10
of 289
pro vyhledávání: '"Tzirakis P"'
We consider the one-dimensional outer stochastic Stefan problem with reflection which models the short-time prediction of the price or spread of one volatile asset traded in a financial market. The problem admits maximal solutions as long as the velo
Externí odkaz:
http://arxiv.org/abs/2407.20389
Autor:
Erdogan, M. B., Tzirakis, N.
In this paper we study the effect of rotation on nonlinear wave phenomena in weakly dispersive media modeled by the Korteweg-de Vries equation on the real line. It is well known that smoothing in the case of the KdV equation with periodic boundary co
Externí odkaz:
http://arxiv.org/abs/2404.04353
Autor:
Baird, Alice, Manzelli, Rachel, Tzirakis, Panagiotis, Gagne, Chris, Li, Haoqi, Allen, Sadie, Dieleman, Sander, Kulis, Brian, Narayanan, Shrikanth S., Cowen, Alan
The NeurIPS 2023 Machine Learning for Audio Workshop brings together machine learning (ML) experts from various audio domains. There are several valuable audio-driven ML tasks, from speech emotion recognition to audio event detection, but the communi
Externí odkaz:
http://arxiv.org/abs/2403.14048
Autor:
Kollias, Dimitrios, Tzirakis, Panagiotis, Cowen, Alan, Zafeiriou, Stefanos, Kotsia, Irene, Baird, Alice, Gagne, Chris, Shao, Chunchang, Hu, Guanyu
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th ABAW Competition addresses contemporary challenges in understanding hum
Externí odkaz:
http://arxiv.org/abs/2402.19344
In this paper we obtain improved local well-posedness results for the Schr\"odinger-KdV system on the half-line. We employ the Laplace-Fourier method in conjunction with the restricted norm method of Bourgain appropriately modified in order to accomm
Externí odkaz:
http://arxiv.org/abs/2310.13535
Autor:
Christ, Lukas, Amiriparian, Shahin, Baird, Alice, Kathan, Alexander, Müller, Niklas, Klug, Steffen, Gagne, Chris, Tzirakis, Panagiotis, Meßner, Eva-Maria, König, Andreas, Cowen, Alan, Cambria, Erik, Schuller, Björn W.
The 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 continuous emotion targets. This sub-cha
Externí odkaz:
http://arxiv.org/abs/2305.03369
Autor:
Schuller, Björn W., Batliner, Anton, Amiriparian, Shahin, Barnhill, Alexander, Gerczuk, Maurice, Triantafyllopoulos, Andreas, Baird, Alice, Tzirakis, Panagiotis, Gagne, Chris, Cowen, Alan S., Lackovic, Nikola, Caraty, Marie-José, Montacié, Claude
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; an
Externí odkaz:
http://arxiv.org/abs/2304.14882
The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is part of the respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2023. The 5th ABAW Competition is a co
Externí odkaz:
http://arxiv.org/abs/2303.01498
Autor:
Baird, Alice, Tzirakis, Panagiotis, Brooks, Jeffrey A., Gregory, Christopher B., Schuller, Björn, Batliner, Anton, Keltner, Dacher, Cowen, Alan
This is the Proceedings of the ACII Affective Vocal Bursts Workshop and Competition (A-VB). A-VB was a workshop-based challenge that introduces the problem of understanding emotional expression in vocal bursts -- a wide range of non-verbal vocalizati
Externí odkaz:
http://arxiv.org/abs/2210.15754
Autor:
Triantafyllopoulos, Andreas, Schuller, Björn W., İymen, Gökçe, Sezgin, Metin, He, Xiangheng, Yang, Zijiang, Tzirakis, Panagiotis, Liu, Shuo, Mertes, Silvan, André, Elisabeth, Fu, Ruibo, Tao, Jianhua
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research. In recent years, machines have managed to master the art of generating speech that is understandable by hum
Externí odkaz:
http://arxiv.org/abs/2210.03538