Michalis Papakostas

Cituota

	Visi	Nuo 2019
Šaltiniai	551	475
h-rodyklė	14	14
i10-rodyklė	19	16

120

20152016201720182019202020212022202320243 10 16 45 73 69 83 101 71 75

Viešas pasiekiamumas

Peržiūrėti viską

14 straipsnių

1 straipsnis

pasiekiami

nepasiekiami

Pagal finansavimo įpareigojimus

Bendraautoriai

Theodoros GiannakopoulosPrincipal Researcher NCSR Demokritos / Director of Machine Learning at Behavioral SignalsPatvirtintas el. paštas iit.demokritos.gr
Rada MihalceaProfessor of Computer Science, University of MichiganPatvirtintas el. paštas umich.edu
Vangelis KarkaletsisNCSR "Demokritos"Patvirtintas el. paštas iit.demokritos.gr
Maher AbujelalaTexas A&M UniversityPatvirtintas el. paštas tamu.edu
Akilesh RajavenkatanarayananResearcher, General MotorsPatvirtintas el. paštas gm.com
Evaggelos SpyrouAssociate Professor, Department of Informatics and Telecommunications, University of ThessalyPatvirtintas el. paštas uth.gr
Dimitris SgouropoulosNSCR DemokritosPatvirtintas el. paštas iit.demokritos.gr
Dylan EbertBrown UniversityPatvirtintas el. paštas brown.edu
Varun KanalUniversity of Texas at ArlingtonPatvirtintas el. paštas mavs.uta.edu
Natalie PardeUniversity of Illinois ChicagoPatvirtintas el. paštas uic.edu
Rodney NielsenUniversity of North TexasPatvirtintas el. paštas UNT.edu
Phivos MylonasUniversity of West AtticaPatvirtintas el. paštas uniwa.gr
Vassilis AthitsosProfessor, Computer Science and Engineering Department, University of Texas at ArlingtonPatvirtintas el. paštas uta.edu
Srujana GattupalliApplied Scientist CV & ML | AmazonPatvirtintas el. paštas mavs.uta.edu
Michail TheofanidisResearch Scientist, The University of Texas at Arlington Research Institute (UTARI)Patvirtintas el. paštas uta.edu
Glenn WylieKessler FoundationPatvirtintas el. paštas kesslerfoundation.org
Vangelis MetsisTexas State UniversityPatvirtintas el. paštas txstate.edu
Alexandros LioulemesAdjunct Teaching Professor at Worcester Polytechnic Institute (WPI)Patvirtintas el. paštas wpi.edu
Ali SharifaraUniversity of Texas at ArlingtonPatvirtintas el. paštas uta.edu
Ashwin Ramesh BabuSenior Research Scientist @ Hewlett Packard LabsPatvirtintas el. paštas hpe.com

Stebėti

Michalis Papakostas

Senior AI Engineer @ SourceAudio.com

Patvirtintas el. paštas sourceaudio.com - Pagrindinis puslapis

Machine Learning Multimodal Processing Human Machine Interaction Human Behavior Modeling


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	68	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	38	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	28	2019
A Deep Learning Approach Towards Multimodal Stress Detection. CP Bara, M Papakostas, R Mihalcea AffCon@ AAAI, 67-81, 2020	27	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	24	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	23	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	22	2016
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
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	17	2020
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	15	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	14	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
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	11	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

Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.

Straipsniai 1–20

Šaltinių per metus

Dubliuoti šaltiniai

Sujungti šaltiniai

Pridėti bendraautoriusBendraautoriai

Stebėti

Cituota

Bendraautoriai