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Dimos Makris
Dimos Makris
Machine Learning Researcher at Music Tribe, Sweden
Bestätigte E-Mail-Adresse bei musictribe.com
Titel
Zitiert von
Zitiert von
Jahr
Combining LSTM and feed forward neural networks for conditional rhythm composition
D Makris, M Kaliakatsos-Papakostas, I Karydis, KL Kermanidis
International Conference on Engineering Applications of Neural Networks, 570-582, 2017
562017
Generating lead sheets with affect: A novel conditional seq2seq framework
D Makris, KR Agres, D Herremans
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
232021
Conditional neural sequence learners for generating drums’ rhythms
D Makris, M Kaliakatsos-Papakostas, I Karydis, KL Kermanidis
Neural Computing and Applications 31 (6), 1793-1804, 2019
222019
Hierarchical recurrent neural networks for conditional melody generation with long-term structure
G Zixun, D Makris, D Herremans
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
202021
The greek music dataset
D Makris, I Karydis, S Sioutas
Proceedings of the 16th International Conference on Engineering Applications …, 2015
162015
The greek audio dataset
D Makris, KL Kermanidis, I Karydis
IFIP International Conference on Artificial Intelligence Applications and …, 2014
152014
Automatic melodic harmonization: An overview, challenges and future directions
D Makris, I Kayrdis, S Sioutas
Trends in Music Information Seeking, Behavior, and Retrieval for Creativity …, 2016
142016
Learning and creating novel harmonies in diverse musical idioms: An adaptive modular melodic harmonisation system
M Kaliakatsos-Papakostas, D Makris, C Tsougras, E Cambouropoulos
Journal of Creative Music Systems 1 (1), 2016
122016
Probabilistic Modular Bass Voice Leading in Melodic Harmonisation.
D Makris, MA Kaliakatsos-Papakostas, E Cambouropoulos
ISMIR, 323-329, 2015
102015
Could you help me to change the variables? Comparing instruction to encouragement for teaching programming
D Makris, K Euaggelopoulos, K Chorianopoulos, MN Giannakos
Proceedings of the 8th Workshop in Primary and Secondary Computing Education …, 2013
102013
DeepDrum: An Adaptive Conditional Neural Network
D Makris, M Kaliakatsos-Papakostas, KL Kermanidis
arXiv preprint arXiv:1809.06127, 2018
92018
V ISA3: REFINING THE VOICE INTEGRATION/SEGREGATION ALGORITHM
D Makris, I Karydis, E Cambouropoulos
Proceedings of the Sound and Music Computing Conference 2016, SMC 2016, 2016
72016
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
P Chua, D Makris, D Herremans, G Roig, K Agres
arXiv preprint arXiv:2202.10453, 2022
62022
Conditional Drums Generation Using Compound Word Representations
D Makris, G Zixun, M Kaliakatsos-Papakostas, D Herremans
International Conference on Computational Intelligence in Music, Sound, Art …, 2022
62022
Learning and blending harmonies in the context of a melodic harmonisation assistant
M Kaliakatsos-Papakostas, D Makris, A Zacharakis, C Tsougras, ...
IFIP International Conference on Artificial Intelligence Applications and …, 2016
62016
A probabilistic approach to determining bass voice leading in melodic harmonisation
D Makris, M Kaliakatsos-Papakostas, E Cambouropoulos
International Conference on Mathematics and Computation in Music, 128-134, 2015
52015
Automatic Melodic Harmonization
D Makris, I Karydis, S Sioutas
International, 0
1
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure
Z Guo, M Dimos, H Dorien
arXiv preprint arXiv:2102.09794, 2021
2021
VISA3
D Makris, I Karydis, E Cambouropoulos
Proceedings of the Sound and Music Computing Conference 2016, 2016
2016
Learning and blending harmonies in a melodic harmonisation assistant
M Kaliakatsos-Papakostas, D Makris, A Zacharakis, C Tsougras, ...
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