Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Aljaž Osojnik"'
Autor:
Matej Petković, Luke Lucas, Jurica Levatić, Martin Breskvar, Tomaž Stepišnik, Ana Kostovska, Panče Panov, Aljaž Osojnik, Redouane Boumghar, José A. Martínez-Heras, James Godfrey, Alessandro Donati, Sašo Džeroski, Nikola Simidjievski, Bernard Ženko, Dragi Kocev
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-8 (2022)
Measurement(s) electric current Technology Type(s) current readings in spacecraft housekeeping telemetry Sample Characteristic - Environment outer space
Externí odkaz:
https://doaj.org/article/f24eda5597eb4c9f93340b8f0ca19f70
Publikováno v:
Technologies, Vol 10, Iss 1, p 24 (2022)
The paper describes an approach for indirect data-based assessment and use of user preferences in an unobtrusive sensor-based coaching system with the aim of improving coaching effectiveness. The preference assessments are used to adapt the reasoning
Externí odkaz:
https://doaj.org/article/ee950b06d0b54af7a6cf5530250b0d0a
Publikováno v:
Acta Astronautica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e2463864c58b345932cb9c6c8629cd7
https://doi.org/10.1016/j.actaastro.2023.04.037
https://doi.org/10.1016/j.actaastro.2023.04.037
Publikováno v:
Machine Learning
In many application settings, labeling data examples is a costly endeavor, while unlabeled examples are abundant and cheap to produce. Labeling examples can be particularly problematic in an online setting, where there can be arbitrarily many example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3c25f765440603274f4746774a5358
https://doi.org/10.1007/s10994-020-05918-z
https://doi.org/10.1007/s10994-020-05918-z
Autor:
R. Wheeler, Johannes Kropf, Giuseppe Andreoni, Kai Gand, Dimitrios Gatsios, Sofoklis Kyriazakos, Jofre Tenorio-Laranga, Evdokimos I. Konstantinidis, Despoina Petsani, Eduardo González-Fraile, Anna Esposito, Martin Žnidaršič, Gérard Chollet, Dimitrios I. Fotiadis, Maria Stylianou Kornes, M. Inés Torres, Aljaž Osojnik, M. Caprino, L. Nicolas, P. Jimeno, Hannes Schlieter, Gennaro Cordasco, Vera Veleva, Panagiotis D. Bamidis, Bernard Ženko, Begona Fernandez-Ruanova, I. Luengo, Harm op den Akker, Cinzia Mambretti
Publikováno v:
Digital Health Technology for Better Aging ISBN: 9783030726621
Andreoni, G, Konstantinidis, E, Petsani, D, Bamidis, P, Gatsios, D, Fotiadis, D I, op den Akker, H, Torres, M I, Tenorio-Laranga, J, Cordasco, G, González-Fraile, E, Esposito, A, Kornes, M S, Chollet, G, Fernández-Ruanova, B, Veleva, V, Žnidaršič, M, Ženko, B, Osojnik, A, Wheeler, R, Gand, K, Schlieter, H, Kyriazakos, S, Caprino, M, Nicolas, L, Kropf, J, Luengo, I, Jimeno, P & Mambretti, C 2021, Other Advanced Research Initiatives in Elderly Care and Fragility Prevention . in Digital Health Technology for Better Aging : A multidisciplinary approach . Springer, Cham, Research for Development, pp. 327-359 . https://doi.org/10.1007/978-3-030-72663-8_20
Research for Development
Research for Development-Digital Health Technology for Better Aging
Digital Health Technology for Better Aging
Digital Health Technology for Better Aging-A multidisciplinary approach
Andreoni, G, Konstantinidis, E, Petsani, D, Bamidis, P, Gatsios, D, Fotiadis, D I, op den Akker, H, Torres, M I, Tenorio-Laranga, J, Cordasco, G, González-Fraile, E, Esposito, A, Kornes, M S, Chollet, G, Fernández-Ruanova, B, Veleva, V, Žnidaršič, M, Ženko, B, Osojnik, A, Wheeler, R, Gand, K, Schlieter, H, Kyriazakos, S, Caprino, M, Nicolas, L, Kropf, J, Luengo, I, Jimeno, P & Mambretti, C 2021, Other Advanced Research Initiatives in Elderly Care and Fragility Prevention . in Digital Health Technology for Better Aging : A multidisciplinary approach . Springer, Cham, Research for Development, pp. 327-359 . https://doi.org/10.1007/978-3-030-72663-8_20
Research for Development
Research for Development-Digital Health Technology for Better Aging
Digital Health Technology for Better Aging
Digital Health Technology for Better Aging-A multidisciplinary approach
Based on the lessons learnt from the co-design, development and integration processes, the research findings and the outputs from the engagement with a network of stakeholders over the course of the EU funded initiatives, this chapter will aim to hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab251c35ca0aee8b9f36e120c2c8dbb
https://doi.org/10.1007/978-3-030-72663-8_20
https://doi.org/10.1007/978-3-030-72663-8_20
Publikováno v:
Journal of Intelligent Information Systems. 50:315-339
Methods that address the task of multi-target regression on data streams are relatively weakly represented in the current literature. We present several different approaches to learning trees and ensembles of trees for multi-target regression based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20896ec69f07c52bd35e7992cc08a029
https://doi.org/10.1007/s10844-017-0462-7
https://doi.org/10.1007/s10844-017-0462-7
Autor:
Zlatko Matjacic, Mojca Debeljak, Panče Panov, Marko Bohanec, Helena Burger, Martin Žnidaršič, Bernard Ženko, Aljaž Osojnik
Publikováno v:
Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
KEOD
KEOD
This paper presents and critically discusses an approach for knowledge modelling and reasoning in a system for monitoring and coaching of senior adults. We present a modular architecture of the system and a detailed description of the modelling metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78801558609c3b2ed11328fb92b6a5c
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
DS
Methods for online prediction of structured values are becoming more and more popular. However, hierarchical prediction, which has recently been shown to produce good results in terms of predictive performance in the batch learning setting, has not y
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a67b00a2aa3d1c000fa8d3562cf11b3
https://doi.org/10.1007/978-3-030-33778-0_8
https://doi.org/10.1007/978-3-030-33778-0_8
Publikováno v:
Discovery Science ISBN: 9783030337773
DS
DS
Orbiting Mars, the European Space Agency (ESA) operated spacecraft - Mars Express (MEX), provides extraordinary science data for the past 15 years. To continue the great contribution, MEX requires accurate power modeling, mainly to compensate for agi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81ab3b7ef86162bc3290274d3251e1a7
https://doi.org/10.1007/978-3-030-33778-0_16
https://doi.org/10.1007/978-3-030-33778-0_16
Publikováno v:
Discovery Science ISBN: 9783319677859
DS
DS
In this work, we address the task of hierarchical multi-label classification (HMLC). HMLC is a variant of classification, where a single example may belong to multiple classes at the same time and the classes are organized in the form of a hierarchy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c15fbdc8a78b872ebe0835113b2eb44
https://doi.org/10.1007/978-3-319-67786-6_9
https://doi.org/10.1007/978-3-319-67786-6_9