학술논문

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발행년	- (예 : 2010-2015)

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Academic Journal

Sherratt, K.; Gruson, H.; Abbott, S.; Bosse, N.I.; Meakin, S.; Funk, S.; Grah, R.; Johnson, H.; Niehus, R.; Prasse, B.; Sandmann, F.; Deuschel, J.; Wolffram, D.; Bracher, J.; Ullrich, A.; Gibson, G.; Ray, E.L.; Reich, N.G.; Sheldon, D.; Wang, Y.; Wattanachit, N.; Wang, L.; Trnka, J.; Obozinski, G.; Sun, T.; Thanou, D.; Pottier, L.; Krymova, E.; Meinke, J.H.; Barbarossa, M.V.; Leithäuser, N.; Mohring, J.; Schneider, J.; Włazło, J.; Fuhrmann, J.; Lange, B.; Rodiah, I.; Baccam, P.; Gurung, H.; Suchoski, B.; Stage, S.; Budzinski, J.; Walraven, R.; Villanueva, I.; Tuček, V.; Šmíd, M.; Zajíček, M.; Pérez Álvarez, C.; Reina, B.; Castro, L.; Fairchild, G.; Michaud, I.; Osthus, D.; Alaimo Di Loro, P.; Maruotti, A.; Eclerová, V.; Kraus, A.; Kraus, D.; Pribylova, L.; Dimitris, B.; Li, M.L.; Saksham, S.; Dehning, J.; Mohr, S.; Priesemann, V.; Redlarski, G.; Bejar, B.; Ardenghi, G.; Parolini, N.; Ziarelli, G.; Bock, W.; Heyder, S.; Hotz, T.; E. Singh, D.; Guzman-Merino, M.; Aznarte, J.L.; Moriña, D.; Alonso, S.; Álvarez, E.; López, D.; Prats, C.; Burgard, J.P.; Rodloff, A.; Zimmermann, T.; Kuhlmann, A.; Zibert, J.; Pennoni, F.; Divino, F.; Català, M.; Lovison, G.; Giudici, P.; Tarantino, B.; Bartolucci, F.; Jona Lasinio, G.; Mingione, M.; Farcomeni, A.; Srivastava, A.; Montero-Manso, P.; Adiga, A.; Hurt, B.; Lewis, B.; Marathe, M.; Porebski, P.; Venkatramanan, S.; Bartczuk, R.; Dreger, F.; Gambin, A.; Gogolewski, K.; Gruziel-Słomka, M.; Krupa, B.; Moszynski, A.; Niedzielewski, K.; Nowosielski, J.; Radwan, M.; Rakowski, F.; Semeniuk, M.; Szczurek, E.; Zieliński, J.; Kisielewski, J.; Pabjan, B.; Kheifetz, Y.; Kirsten, H.; Scholz, M.; Biecek, P.; Bodych, M.; Filinski, M.; Idzikowski, R.; Krueger, T.; Ozanski, T.

In: eLife. (eLife, April 2023, 12)

Full Text (Gale Academic Onefile) Full Text (ProQuest Central) Open Access (EBSCO) Web of Science JCR 저널정보 Scopus Find it@PNU

An accurate and fully-automated ensemble model for weekly time series forecasting

Academic Journal

Godahewa, R.; Bergmeir, C.; Webb, G.I.; Montero-Manso, P.

In: International Journal of Forecasting. (International Journal of Forecasting, 1 April 2023, 39(2):641-658)

Full Text (ScienceDirect) Web of Science JCR 저널정보 Scopus Find it@PNU

Principles and algorithms for forecasting groups of time series: Locality and globality

Academic Journal

Montero-Manso, P.; Hyndman, R.J.

In: International Journal of Forecasting. (International Journal of Forecasting, 1 October 2021, 37(4):1632-1653)

Full Text (ScienceDirect) Web of Science JCR 저널정보 Scopus Find it@PNU

A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach

Academic Journal

Molina Mora, J.A.; García-Batán, R.; García, F.; Montero-Manso, P.; Campos-Sánchez, R.; Vilar-Fernández, J.

In: BioSystems. (BioSystems, July 2021, 205)

Full Text (ScienceDirect 종량제) Web of Science JCR 저널정보 Scopus Find it@PNU

FFORMA: Feature-based forecast model averaging

Academic Journal

Montero-Manso, P.; Athanasopoulos, G.; Hyndman, R.J.; Talagala, T.S.

In: International Journal of Forecasting. (International Journal of Forecasting, January - March 2020, 36(1):86-92)

Full Text (ScienceDirect) Web of Science JCR 저널정보 Scopus Find it@PNU

Distributed classification based on distances between probability distributions in feature space

Academic Journal

Montero-Manso, P.; Vilar, J.A.; Morán-Fernández, L.; Bolón-Canedo, V.; Alonso-Betanzos, A.

In: Information Sciences. (Information Sciences, September 2019, 496:431-450)

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Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances

Academic Journal

Montero-Manso, P.; Vilar, J.A.

In: Statistical Analysis and Data Mining. (Statistical Analysis and Data Mining, June 2019, 12(3):234-252)

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Clustering of Time Series Based on Forecasting Performance of Global Models

Book

López-Oriona, Á.; Vilar, J.A.; Montero-Manso, P.

In: Advanced Analytics and Learning on Temporal Data - 7th ECML PKDD Workshop, AALTD 2022, Revised Selected Papers. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 13812 LNAI:18-33)

Scopus Find it@PNU

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