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- Julián Urbano
Delft University of Technology, The Netherlands
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Publication search results
found 59 matches
- 2023
- Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. ICTIR 2023: 135-142 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. CoRR abs/2307.13632 (2023) - 2021
- Julián Urbano, Matteo Corsi, Alan Hanjalic:
How do Metric Score Distributions affect the Type I Error Rate of Statistical Significance Tests in Information Retrieval? ICTIR 2021: 245-250 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
New Insights into Metric Optimization for Ranking-based Recommendation. SIGIR 2021: 932-941 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. WSDM 2021: 103-111 - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users. CoRR abs/2102.01744 (2021) - Roger Zhe Li, Julián Urbano, Alan Hanjalic:
New Insights into Metric Optimization for Ranking-based Recommendation. CoRR abs/2106.02545 (2021) - 2020
- Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
One deep music representation to rule them all? A comparative analysis of different representation learning strategies. Neural Comput. Appl. 32(4): 1067-1093 (2020) - Arthur Flexer, Florence Levé, Geoffroy Peeters, Julián Urbano:
Introduction to the Special Collection "20th Anniversary of ISMIR". Trans. Int. Soc. Music. Inf. Retr. 3(1): 218-220 (2020) - Hendrik Schreiber, Julián Urbano, Meinard Müller:
Music Tempo Estimation: Are We Done Yet? Trans. Int. Soc. Music. Inf. Retr. 3(1): 111 (2020) - 2019
- Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
Are Nearby Neighbors Relatives? Testing Deep Music Embeddings. Frontiers Appl. Math. Stat. 5: 53 (2019) - Álvaro Sarasúa, Julián Urbano, Emilia Gómez:
Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements. Frontiers Digit. Humanit. 6: 3 (2019) - Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro:
Towards Stochastic Simulations of Relevance Profiles. CIKM 2019: 2217-2220 - Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas:
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. ISMIR 2019: 360-367 - Julián Urbano, Harlley Lima, Alan Hanjalic:
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors. SIGIR 2019: 505-514 - Julián Urbano, Harlley Lima, Alan Hanjalic:
A New Perspective on Score Standardization. SIGIR 2019: 1061-1064 - Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk:
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019. 2019, ISBN 978-1-7327299-1-9 [contents] - Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces. CoRR abs/1904.07154 (2019) - Julián Urbano, Harlley Lima, Alan Hanjalic:
Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors. CoRR abs/1905.11096 (2019) - 2018
- Mónica Marrero, Julián Urbano:
A Semi-automatic and low-cost method to learn patterns for named entity recognition. Nat. Lang. Eng. 24(1): 39-75 (2018) - Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber:
The MediaEval 2018 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2018 - Julián Urbano, Thomas Nagler:
Stochastic Simulation of Test Collections: Evaluation Scores. SIGIR 2018: 695-704 - Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic:
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies. CoRR abs/1802.04051 (2018) - 2017
- Julián Urbano, Mónica Marrero:
The Treatment of Ties in AP Correlation. ICTIR 2017: 321-324 - Dmitry Bogdanov, Alastair Porter, Julián Urbano, Hendrik Schreiber:
The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources. MediaEval 2017 - 2016
- Julián Urbano:
Test collection reliability: a study of bias and robustness to statistical assumptions via stochastic simulation. Inf. Retr. J. 19(3): 313-350 (2016) - Brian McFee, Eric J. Humphrey, Julián Urbano:
A Plan for Sustainable MIR Evaluation. ISMIR 2016: 285-291 - Julián Urbano, Mónica Marrero:
Toward Estimating the Rank Correlation between the Test Collection Results and the True System Performance. SIGIR 2016: 1033-1036 - 2015
- Mónica Marrero, Julián Urbano:
Information Extraction Grammars. ECIR 2015: 265-270
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