Follow Us:

 

Our Publications


Stopping Personalized PageRank without an Error Tolerance Parameter

Emmanouil Krasanakis, Symeon Papadopoulos, & Ioannis Kompatsiaris. (2020, November 11). Stopping Personalized PageRank without an Error Tolerance Parameter (preprint of accepted manuscript). Zenodo. http://doi.org/10.5281/zenodo.4268694
 
 
 
 
 

View Link

Extending Deep Rhythm for Tempo and Genre Estimation Using Complex Convolutions, Multitask Learning and Multi-input Network

Copy of the paper “Extending Deep Rhythm for Tempo and Genre Estimation Using Complex Convolutions, Multitask Learning and Multi-input Network”, presented by Hadrien Foroughmand, Geoffroy Peeters, at the Joint (Virtual) Conference on AI Music Creativity, Stockholm, Sweden, October 19-23, 2020. http://doi.org/10.5281/zenodo.4275870.  
 

Download

Unsupervised Evaluation of Multiple Node Ranks by Reconstructing Local Structures

Emmanouil Krasanakis, Symeon Papadopoulos, Yiannis Kompatsiaris, Applied Network Science 5, 48 (2020). https://doi.org/10.1007/s41109-020-00287-x. Published 06 August 2020 
 

Download

LAVARNET: Neural network modeling of causal variable relationships for multivariate time series forecasting

Christos Koutlis, Symeon Papadopoulos, Manos Schinas, Ioannis Kompatsiaris, Applied Soft Computing, 2020, https://doi.org/10.1016/j.asoc.2020.106685
 
 

Download

GAP: Geometric Aggregation of Popularity Metrics

Koutlis, C.; Schinas, M.; Papadopoulos, S.; Kompatsiaris, I. GAP: Geometric Aggregation of Popularity Metrics. Information 2020, 11, 323. https://doi.org/10.3390/info11060323. Published: 15 June 2020
 

Download

An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task

Mignot, R. and Peeters, G., 2019. An Analysis of the Effect of Data Augmentation Methods: Experiments for a Musical Genre Classification Task. Transactions of the International Society for Music Information Retrieval, 2(1), pp.97–110. DOI: http://doi.org/10.5334/tismir.26. Published: 18 December 2019
 
 

Download

LinkAUC: Unsupervised Evaluation of Multiple Network Node Ranks Using Link Prediction

Krasanakis E., Papadopoulos S., Kompatsiaris Y. (2020) LinkAUC: Unsupervised Evaluation of Multiple Network Node Ranks Using Link Prediction. In: Cherifi H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881. Springer, Cham.
First Online: 26 November 2019. http://doi.org/10.1007/978-3-030-36687-2_1
 
 
 
 
 

Download

Music retiler: Using NMF2D source separation for audio mosaicing

Copy of the paper “Music retiler: Using NMF2D source separation for audio mosaicing”, presented by IRCAM at Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, Wrexham, United Kingdom, 12 – 14 September, 2018.
 

Download

Deep-rhythm for tempo estimation and rhythm pattern recognition

Copy of the paper “Deep-rhythm for tempo estimation and rhythm pattern recognition, to be presented by IRCAM at 20th conference of the International Society for Music Information Retrieval (ISMIR2019), Delft, Netherlands, 4-8 November 2019.
 

Download

Boosted seed oversampling for local community ranking

A copy of the paper “Boosted seed oversampling for local community ranking by CERTH at Elsevier Journal (Information Processing and Management), accepted 3 June 2019, https://doi.org/10.1016/j.ipm.2019.06.002.
 

Download

Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models

Copy of the paper “Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models, to be presented by CERTH at 20th conference of the International Society for Music Information Retrieval (ISMIR2019), Delft, Netherlands, 4-8 November 2019. 
 
 

Download

VenueRank: Identifying Venues That Contribute To Artist Popularity

Copy of the paper “VenueRank: Identifying Venues That Contribute To Artist Popularity”, presented by CERTH in the 19th International Society for Music Information Retrieval Conference took place in Paris, France, from September 23-27, 2018, with more than 430 participants. 
 
 
 
 
 

Download

FuturePulse Press Release

FuturePulse official press release!
 

Download

European flag

Co-funded by the European Commission

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 761634. This website reflects the views only of the Consortium, and the Commission cannot be held responsible for any use which may be made of the information contained herein.