Our Publications


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
 
 

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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
 

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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
 
 

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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
 
 
 
 
 

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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.
 

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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.
 

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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.
 

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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. 
 
 

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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. 
 
 
 
 
 

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FuturePulse Press Release

FuturePulse official press release!
 

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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.