Michalis Papakostas

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Theodoros GiannakopoulosPrincipal Researcher NCSR Demokritos / Director of Machine Learning at Behavioral SignalsDirección de correo verificada de iit.demokritos.gr
Rada MihalceaProfessor of Computer Science, University of MichiganDirección de correo verificada de umich.edu
Vangelis KarkaletsisNCSR "Demokritos"Dirección de correo verificada de iit.demokritos.gr
Maher AbujelalaTexas A&M UniversityDirección de correo verificada de tamu.edu
Akilesh RajavenkatanarayananResearcher, General MotorsDirección de correo verificada de gm.com
Evaggelos SpyrouAssociate Professor, Department of Informatics and Telecommunications, University of ThessalyDirección de correo verificada de uth.gr
Dimitris SgouropoulosNSCR DemokritosDirección de correo verificada de iit.demokritos.gr
Varun KanalUniversity of Texas at ArlingtonDirección de correo verificada de mavs.uta.edu
Dylan EbertBrown UniversityDirección de correo verificada de brown.edu
Natalie PardeUniversity of Illinois ChicagoDirección de correo verificada de uic.edu
Rodney NielsenUniversity of North TexasDirección de correo verificada de UNT.edu
Phivos MylonasUniversity of West AtticaDirección de correo verificada de uniwa.gr
Vassilis AthitsosProfessor, Computer Science and Engineering Department, University of Texas at ArlingtonDirección de correo verificada de uta.edu
Srujana GattupalliApplied Scientist CV & ML | AmazonDirección de correo verificada de mavs.uta.edu
Michail TheofanidisResearch Scientist, The University of Texas at Arlington Research Institute (UTARI)Dirección de correo verificada de uta.edu
Glenn WylieKessler FoundationDirección de correo verificada de kesslerfoundation.org
Vangelis MetsisTexas State UniversityDirección de correo verificada de txstate.edu
Alexandros LioulemesAdjunct Teaching Professor at Worcester Polytechnic Institute (WPI)Dirección de correo verificada de wpi.edu
Ali SharifaraUniversity of Texas at ArlingtonDirección de correo verificada de uta.edu
Ashwin Ramesh BabuSenior Research Scientist @ Hewlett Packard LabsDirección de correo verificada de hpe.com

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Michalis Papakostas

Senior AI Engineer @ SourceAudio.com

Dirección de correo verificada de sourceaudio.com - Página principal

Machine Learning Multimodal Processing Human Machine Interaction Human Behavior Modeling


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Deep visual attributes vs. hand-crafted audio features on multidomain speech emotion recognition M Papakostas, E Spyrou, T Giannakopoulos, G Siantikos, ... Computation 5 (2), 26, 2017	67	2017
Speech-music discrimination using deep visual feature extractors M Papakostas, T Giannakopoulos Expert Systems with Applications 114, 334-344, 2018	55	2018
Cognilearn: A deep learning-based interface for cognitive behavior assessment S Gattupalli, D Ebert, M Papakostas, F Makedon, V Athitsos Proceedings of the 22nd International Conference on Intelligent User …, 2017	36	2017
Grounding the meaning of words through vision and interactive gameplay N Parde, A Hair, M Papakostas, K Tsiakas, M Dagioglou, V Karkaletsis, ... Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	29	2015
Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation M Papakostas, V Kanal, M Abujelala, K Tsiakas, F Makedon Proceedings of the 12th ACM international conference on pervasive …, 2019	27	2019
A Deep Learning Approach Towards Multimodal Stress Detection. CP Bara, M Papakostas, R Mihalcea AffCon@ AAAI, 67-81, 2020	26	2020
A survey of assistive technologies for assessment and rehabilitation of motor impairments in multiple sclerosis A Rajavenkatanarayanan, V Kanal, K Tsiakas, D Calderon, M Papakostas, ... Multimodal Technologies and Interaction 3 (1), 6, 2019	26*	2019
Cogbeacon: A multi-modal dataset and data-collection platform for modeling cognitive fatigue M Papakostas, A Rajavenkatanarayanan, F Makedon Technologies 7 (2), 46, 2019	22	2019
An interactive multisensing framework for personalized human robot collaboration and assistive training using reinforcement learning K Tsiakas, M Papakostas, M Theofanidis, M Bell, R Mihalcea, S Wang, ... Proceedings of the 10th international conference on pervasive technologies …, 2017	22	2017
Towards predicting task performance from EEG signals M Papakostas, K Tsiakas, T Giannakopoulos, F Makedon 2017 IEEE International Conference on Big Data (Big Data), 4423-4425, 2017	21	2017
Recognizing emotional states using speech information M Papakostas, G Siantikos, T Giannakopoulos, E Spyrou, ... GeNeDis 2016: Geriatrics, 155-164, 2017	21	2017
Short-term recognition of human activities using convolutional neural networks M Papakostas, T Giannakopoulos, F Makedon, V Karkaletsis 2016 12th international conference on signal-image technology & internet …, 2016	21	2016
Towards detecting levels of alertness in drivers using multiple modalities K Riani, M Papakostas, H Kokash, M Abouelenien, M Burzo, R Mihalcea Proceedings of the 13th ACM International Conference on PErvasive …, 2020	16	2020
Monitoring breathing activity and sleep patterns using multimodal non-invasive technologies M Papakostas, J Staud, F Makedon, V Metsis Proceedings of the 8th ACM International Conference on PErvasive …, 2015	14	2015
Muser: Multimodal stress detection using emotion recognition as an auxiliary task Y Yao, M Papakostas, M Burzo, M Abouelenien, R Mihalcea arXiv preprint arXiv:2105.08146, 2021	13	2021
Distracted and drowsy driving modeling using deep physiological representations and multitask learning M Papakostas, K Das, M Abouelenien, R Mihalcea, M Burzo Applied Sciences 11 (1), 88, 2020	13	2020
Towards designing a socially assistive robot for adaptive and personalized cognitive training K Tsiakas, C Abellanoza, M Abujelala, M Papakostas, T Makada, ... Proceedings of the Robots 4, 2017	12	2017
An interactive learning and adaptation framework for adaptive robot assisted therapy K Tsiakas, M Papakostas, B Chebaa, D Ebert, V Karkaletsis, F Makedon Proceedings of the 9th ACM International Conference on PErvasive …, 2016	12	2016
Detection and recognition of driver distraction using multimodal signals K Das, M Papakostas, K Riani, A Gasiorowski, M Abouelenien, M Burzo, ... ACM Transactions on Interactive Intelligent Systems 12 (4), 1-28, 2022	10	2022
Extracting emotions from speech using a bag-of-visual-words approach E Spyrou, T Giannakopoulos, D Sgouropoulos, M Papakostas 2017 12th International Workshop on Semantic and Social Media Adaptation and …, 2017	9	2017

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