1. 2019
  2. On the Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations

    Coutino, M., Isufi, E., Maehara, T. & Leus, G., 2019, 2018 52nd Asilomar Conference on Signals, Systems, and Computers. Matthews, M. B. (ed.). Piscataway, NJ, USA: IEEE, p. 993-997 5 p. 8645186

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  3. On the Transferability of Spectral Graph Filters

    Levie, R., Isufi, E. & Kutyniok, G., 2019, SampTa 2019: 13th International conference on Sampling Theory and Applications: Bordeaux, France. Amini, A. (ed.). SampTA, 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  4. One deep music representation to rule them all? A comparative analysis of different representation learning strategies

    Kim, J., Urbano, J., Liem, C. C. S. & Hanjalic, A., 2019, In : Neural Computing and Applications. p. 1-27 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest

    Ramírez, G., Villatoro, E., Ionescu, B., Escalante, H. J., Escalera, S., Larson, M., Müller, H. & Guyon, I., 2019, Pattern Recognition and Information Forensics : ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Revised Selected Papers. Sidère, N., Zhang, Z., Tian, Y., Jair Escalante, H., Suter, D. & Branzan Albu, A. (eds.). Cham: Springer, p. 127-139 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11188 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  6. Proceedings of the 20th International Society for Music Information Retrieval Conference

    Flexer, A. (ed.), Peeters, G. (ed.), Urbano, J. (ed.) & Volk, A. (ed.), 2019, International Society for Music Information Retrieval (ISMIR). 973 p.

    Research output: Book/ReportBook editingScientificpeer-review

  7. Remembering winter was coming: Character-oriented video summaries of TV series

    Bost, X., Gueye, S., Labatut, V., Larson, M., Linarès, G., Malinas, D. & Roth, R., 2019, In : Multimedia Tools and Applications. 78, 24, p. 35373-35399 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Self-avoiding pruning random walk on signed network

    Wang, H., Qu, C., Jiao, C. & Ruszel, W., 2019, In : New Journal of Physics. 21, 19 p., 035001.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Spotivibes: Tagging playlist vibes with colors

    Abderrazik, H., Angela, G., Brouwer, H., Janse, H., Lutz, S., Smitskamp, G., Manolios, S. & Liem, C. C. S., 2019, IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019). Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O’Donovan, J., Semeraro, G. & Willemsen, M. C. (eds.). CEUR-WS.org, p. 55-59 5 p. (CEUR Workshop Proceedings; vol. 2450).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  10. Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors

    Urbano, J., De Lima, H. & Hanjalic, A., 2019, SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval . New York, USA: ACM DL, p. 505-514 10 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  11. Study of the performance of automatic speech recognition systems in speakers with Parkinson’s Disease

    Moro-Velazquez, L., Cho, J., Watanabe, S., Hasegawa-Johnson, M. A., Scharenborg, O., Kim, H. & Dehak, N., 2019, Proceedings of Interspeech 2019. Kubin, G., Hain, T., Schuller, B., Zarka, D. E. & Hodl, P. (eds.). ISCA, Vol. 2019-September. p. 3875-3879 5 p. (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  12. THE ACOUSTICBRAINZ GENRE DATASET: MULTI-SOURCE, MULTI-LEVEL, MULTI-LABEL, AND LARGE-SCALE

    Bogdanov, D., Porter, A., Schreiber, H., Urbano, J. & Oramas, S., 2019, International Society for Music Information Retrieval Conference 2019. p. 360-367 8 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  13. Talker-familiarity benefit in non-native recognition memory and word identification: The role of listening conditions and proficiency

    Drozdova, P., van Hout, R. & Scharenborg, O., 2019, In : Attention, Perception, and Psychophysics. 81, 5, p. 1675-1697 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

  14. Temporal information gathering process for node ranking in time-varying networks

    Qu, C., Zhan, X., Wang, G., Wu, J. & Zhang, Z., 2019, In : Chaos. 29, 3, p. 1-17 17 p., 033116.

    Research output: Contribution to journalArticleScientificpeer-review

  15. Temporal interpolation of dynamic digital humans using convolutional neural networks

    Viola, I., Mulder, J., De Simone, F. & Cesar, P., 2019, Proceedings - 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2019. Institute of Electrical and Electronics Engineers (IEEE), p. 90-97 8 p. 8942286

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  16. The AcousticBrainz Genre Dataset: Music Genre Recognition with Annotations from Multiple Sources

    Bogdanov, D., Porter, A., Schreiber, H., Urbano, J. & Oramas, S., 2019, International Society for Music Information Retrieval Conference. p. 360-367

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

  17. The Time-Course of Phoneme Category Adaptation in Deep Neural Networks

    Ni, J., Hasegawa-Johnson, M. & Scharenborg, O., 2019, Statistical Language and Speech Processing: 7th International Conference, SLSP 2019. Martín-Vide, C., Purver, M. & Pollak, S. (eds.). Cham: Springer, p. 3-15 13 p. (Part of the Lecture Notes in Computer Science book series, Also part of the Lecture Notes in Artificial Intelligence book sub series ; vol. 11816).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  18. The Virtual Reality Scenario Method: Moving from Imagination to Immersion in Criminal Decision-making Research

    van Gelder, J-L., de Vries, R. E., Demetriou, A., van Sintemaartensdijk, I. & Donker, T., 2019, In : Journal of Research in Crime and Delinquency. 56, 3, p. 451-480 30 p.

    Research output: Contribution to journalArticleScientificpeer-review

  19. The neural correlates underlying lexically-guided perceptual learning

    Scharenborg, O., Koemans, J., Smith, C., Hasegawa-Johnson, M. & Federmeier, K. D., 2019, Proceedings of Interspeech 2019. Kubin, G., Hain, T., Schuller, B., Zarka, D. E. & Hodl, P. (eds.). ISCA, p. 1223-1227 5 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  20. The representation of speech and its processing in the human brain and deep neural networks

    Scharenborg, O., 2019, Speech and Computer: 21st International Conference, SPECOM 2019, Proceedings. Salah, A. A., Karpov, A. & Potapova, R. (eds.). Cham: Springer, p. 1-8 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11658 LNAI).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  21. The representation of speech in deep neural networks

    Scharenborg, O., van der Gouw, N., Larson, M. & Marchiori, E., 2019, MultiMedia Modeling: 25th International Conference, MMM 2019, Proceedings. Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, W-H. & Vrochidis, S. (eds.). Part II ed. Cham: Springer, p. 194-205 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11296 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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