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Aggelos Gkiokas
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2020 – today
- 2023
- [j4]Juan Sebastián Gómez Cañón
, Nicolás Felipe Gutiérrez Páez
, Lorenzo Porcaro
, Alastair Porter, Estefanía Cano, Perfecto Herrera-Boyer, Aggelos Gkiokas, Patricia Santos, Davinia Hernández-Leo, Casper Karreman, Emilia Gómez:
TROMPA-MER: an open dataset for personalized music emotion recognition. J. Intell. Inf. Syst. 60(2): 549-570 (2023) - 2022
- [j3]Kosmas Kritsis, Aggelos Gkiokas, Aggelos Pikrakis, Vassilis Katsouros:
DanceConv: Dance Motion Generation With Convolutional Networks. IEEE Access 10: 44982-45000 (2022) - 2021
- [c14]David M. Weigl
, Werner Goebl, David J. Baker, Tim Crawford, Federico Zubani, Aggelos Gkiokas, Nicolás Felipe Gutiérrez Páez
, Alastair Porter, Patricia Santos:
Notes on the Music: A social data infrastructure for music annotation. DLfM 2021: 23-31 - [c13]Kosmas Kritsis
, Aggelos Gkiokas, Aggelos Pikrakis, Vassilis Katsouros:
Attention-based Multimodal Feature Fusion for Dance Motion Generation. ICMI 2021: 763-767
2010 – 2019
- 2019
- [c12]David M. Weigl
, Werner Goebl, Tim Crawford, Aggelos Gkiokas, Nicolás Felipe Gutiérrez Páez
, Alastair Porter, Patricia Santos, Casper Karreman, Ingmar Vroomen, Cynthia C. S. Liem
, Álvaro Sarasúa, Marcel van Tilburg:
Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment. DLfM 2019: 84-88 - 2018
- [j2]Ioannis Karydis
, Aggelos Gkiokas, Vassilis Katsouros
, Lazaros S. Iliadis:
Musical track popularity mining dataset: Extension & experimentation. Neurocomputing 280: 76-85 (2018) - [c11]Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Christos Garoufis, Antigoni Tsiami, Kosmas Kritsis
, Maximos A. Kaliakatsos-Papakostas
, Aggelos Gkiokas, Vassilis Katsouros, Petros Maragos:
A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments. Audio Mostly Conference 2018: 12:1-12:6 - [c10]Maximos A. Kaliakatsos-Papakostas
, Aggelos Gkiokas, Vassilis Katsouros
:
Interactive Control of Explicit Musical Features in Generative LSTM-based Systems. Audio Mostly Conference 2018: 29:1-29:7 - [c9]Kosmas Kritsis, Aggelos Gkiokas, Carlos Árpád Acosta, Quentin Lamerand, Robert Piéchaud, Maximos A. Kaliakatsos-Papakostas, Vassilis Katsouros:
A web-based 3D environment for gestural interaction with virtual music instruments as a STEAM education tool. NIME 2018: 348-349 - 2017
- [c8]Aggelos Gkiokas, Vassilis Katsouros:
Convolutional Neural Networks for Real-Time Beat Tracking: A Dancing Robot Application. ISMIR 2017: 286-293 - 2016
- [b1]Aggelos Gkiokas:
Αυτόματη ανάκτηση μουσικής πληροφορίας με έμφαση στο ρυθμό. National Technical University of Athens, Greece, 2016 - [j1]Aggelos Gkiokas, Vassilis Katsouros
, George Carayannis:
Towards Multi-Purpose Spectral Rhythm Features: An Application to Dance Style, Meter and Tempo Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 1885-1896 (2016) - [c7]Ioannis Karydis
, Aggelos Gkiokas, Vassilis Katsouros
:
Musical Track Popularity Mining Dataset. AIAI 2016: 562-572 - 2014
- [c6]Aggelos Gkiokas, Vassilis Katsouros
, George Carayannis:
Deploying Deep Belief Nets for content based audio music similarity. IISA 2014: 180-185 - [c5]Emmanuel Vincent, Aggelos Gkiokas, Dominik Schnitzer, Arthur Flexer:
An investigation of likelihood normalization for robust ASR. INTERSPEECH 2014: 621-625 - 2012
- [c4]Aggelos Gkiokas, Vassilis Katsouros
, George Carayannis, Themos Stafylakis:
Music tempo estimation and beat tracking by applying source separation and metrical relations. ICASSP 2012: 421-424 - [c3]Aggelos Gkiokas, Vassilis Katsouros, George Carayannis:
Reducing Tempo Octave Errors by Periodicity Vector Coding And SVM Learning. ISMIR 2012: 301-306 - 2010
- [c2]Aggelos Gkiokas, Vassilis Katsouros, George Carayannis:
Tempo Induction Using Filterbank Analysis and Tonal Features. ISMIR 2010: 555-558
2000 – 2009
- 2006
- [c1]Aggelos Gkiokas, Iason Demiros, Stelios Piperidis:
An Analysis of Linear Weight Updating Algorithms for Text Classification. SETN 2006: 508-511
Coauthor Index
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last updated on 2024-04-24 23:13 CEST by the dblp team
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