Assessing the reliability of predictions of ensemble methods

Autor: ARHAR, ANŽE

V diplomski nalogi smo se ukvarjali s področjem izboljšanja točnosti napovedi. Izkoriščali smo pojav spreminjanja variance občutljivostnih napovedi ansambelskih metod ob dodajanju spremenjenih primerov v učno množico. Za vsak testni primer sm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3505::9df77253138363aefc72737946175cb3
https://repozitorij.uni-lj.si/Dokument.php?id=171100&dn=

A comparison of click-through rate prediction models in real-time-bidding

Autor: Alič, Anže

Accurately predicting user clicks is crucial for the success of online advertising in the real-time bidding industry. In this thesis, our goal is to conduct a thorough comparison and evaluation of click-through rate prediction models commonly used in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3505::e497e8d3dbe85084a8bfc968212e08d8
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=146737

Napovedovanje vsebine električnega mešalnika hrane

Autor: FERATOVIĆ, DENIS

Svet interneta stvari postaja vse bolj priljubljen, saj nam olajša vsakodnevna opravila. Pri tem lahko nastanejo velike množice podatkov in z njimi potreba po njihovi obdelavi in analizi, kjer nam lahko področje strojnega učenja dodatno razširi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3505::bb8baccce363f5102e5ab830fdd5b7e8
https://hdl.handle.net/20.500.12556/RUL-144840

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

Autor: Katharine Sherratt, Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse, Frank Sandmann, Jannik Deuschel, Daniel Wolffram, Sam Abbott, Alexander Ullrich, Graham Gibson, Evan L Ray, Nicholas G Reich, Daniel Sheldon, Yijin Wang, Nutcha Wattanachit, Lijing Wang, Jan Trnka, Guillaume Obozinski, Tao Sun, Dorina Thanou, Loic Pottier, Ekaterina Krymova, Jan H Meinke, Maria Vittoria Barbarossa, Neele Leithäuser, Jan Mohring, Johanna Schneider, Jaroslaw Włazło, Jan Fuhrmann, Berit Lange, Isti Rodiah, Prasith Baccam, Heidi Gurung, Steven Stage, Bradley Suchoski, Jozef Budzinski, Robert Walraven, Inmaculada Villanueva, Vit Tucek, Martin Smid, Milan Zajíček, Cesar Pérez Álvarez, Borja Reina, Nikos I Bosse, Sophie R Meakin, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Pierfrancesco Alaimo Di Loro, Antonello Maruotti, Veronika Eclerová, Andrea Kraus, David Kraus, Lenka Pribylova, Bertsimas Dimitris, Michael Lingzhi Li, Soni Saksham, Jonas Dehning, Sebastian Mohr, Viola Priesemann, Grzegorz Redlarski, Benjamin Bejar, Giovanni Ardenghi, Nicola Parolini, Giovanni Ziarelli, Wolfgang Bock, Stefan Heyder, Thomas Hotz, David E Singh, Miguel Guzman-Merino, Jose L Aznarte, David Moriña, Sergio Alonso, Enric Álvarez, Daniel López, Clara Prats, Jan Pablo Burgard, Arne Rodloff, Tom Zimmermann, Alexander Kuhlmann, Janez Zibert, Fulvia Pennoni, Fabio Divino, Marti Català, Gianfranco Lovison, Paolo Giudici, Barbara Tarantino, Francesco Bartolucci, Giovanna Jona Lasinio, Marco Mingione, Alessio Farcomeni, Ajitesh Srivastava, Pablo Montero-Manso, Aniruddha Adiga, Benjamin Hurt, Bryan Lewis, Madhav Marathe, Przemyslaw Porebski, Srinivasan Venkatramanan, Rafal P Bartczuk, Filip Dreger, Anna Gambin, Krzysztof Gogolewski, Magdalena Gruziel-Słomka, Bartosz Krupa, Antoni Moszyński, Karol Niedzielewski, Jedrzej Nowosielski, Maciej Radwan, Franciszek Rakowski, Marcin Semeniuk, Ewa Szczurek, Jakub Zieliński, Jan Kisielewski, Barbara Pabjan, Holger Kirsten, Yuri Kheifetz, Markus Scholz, Przemyslaw Biecek, Marcin Bodych, Maciej Filinski, Radoslaw Idzikowski, Tyll Krueger, Tomasz Ozanski, Johannes Bracher, Sebastian Funk

Publikováno v: eLife, vol. 12, no. e81916, 2023.
eLife 12, e81916 (2023). doi:10.7554/eLife.81916
eLife, 19 str. : Ilustr., [article no.] e81916, Vol. 12, 2023
COBISS-ID: 523069721

eLife 12, e81916 (2023). doi:10.7554/eLife.81916
Background:Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9c2a1603809059ffc8562e7151c226
https://hdl.handle.net/10281/413538

Predicting Bitcoin’s volatility

Autor: Pristovnik, Jan

The master's thesis addresses analyzing and modeling the volatility of Bitcoin, the cryptocurrency with the largest marketcap. Volatility is a statistical measure of the dispersion of returns. We approximated it with realized volatility calculated on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3505::81a65b01d914286a2755bdd6e0e1f8d3
https://repozitorij.uni-lj.si/Dokument.php?id=165336&dn=