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Dimos Makris
Dimos Makris
Machine Learning Researcher at Music Tribe, Sweden
Verified email at musictribe.com
Title
Cited by
Cited by
Year
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
582017
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
242021
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
232019
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
212021
The greek music dataset
D Makris, I Karydis, S Sioutas
Proceedings of the 16th International Conference on Engineering Applications …, 2015
182015
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
132016
Probabilistic Modular Bass Voice Leading in Melodic Harmonisation.
D Makris, MA Kaliakatsos-Papakostas, E Cambouropoulos
ISMIR, 323-329, 2015
112015
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
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
72022
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
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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