Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tomaz Stepisnik"'
Publikováno v:
Computer Science and Information Systems. 17:459-486
Decision trees are one of the most widely used predictive modelling methods primarily because they are readily interpretable and fast to learn. These nice properties come at the price of predictive performance. Moreover, the standard induction of dec
Autor:
Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, Jose Martinez-Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev
Publikováno v:
2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT).
We present GalaxAI - a versatile machine learning toolbox for efficient and interpretable end-to-end analysis of spacecraft telemetry data. GalaxAI employs various machine learning algorithms for multivariate time series analyses, classification, reg
The Mars Express (MEX) spacecraft has been orbiting Mars since 2004. The operators need to constantly monitor its behavior and handle sporadic deviations (outliers) from the expected patterns of measurements of quantities that the satellite is sendin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa7a6635f1f3b93d1f5546672d04509f
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-20 (2022)
Abstract Motivation Compound structure identification is using increasingly more sophisticated computational tools, among which machine learning tools are a recent addition that quickly gains in importance. These tools, of which the method titled Com
Externí odkaz:
https://doaj.org/article/4c2bc63a524448e4a5ebd0cf9a1cbec4
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
Autor:
Nadja Anneliese Ruth Ring, Maria Concetta Volpe, Tomaž Stepišnik, Maria Grazia Mamolo, Panče Panov, Dragi Kocev, Simone Vodret, Sara Fortuna, Antonella Calabretti, Michael Rehman, Andrea Colliva, Pietro Marchesan, Luca Camparini, Thomas Marcuzzo, Rossana Bussani, Sara Scarabellotto, Marco Confalonieri, Tho X. Pham, Giovanni Ligresti, Nunzia Caporarello, Francesco S. Loffredo, Daniele Zampieri, Sašo Džeroski, Serena Zacchigna
Publikováno v:
Cell Death and Disease, Vol 13, Iss 1, Pp 1-12 (2021)
Summary Therapies halting the progression of fibrosis are ineffective and limited. Activated myofibroblasts are emerging as important targets in the progression of fibrotic diseases. Previously, we performed a high-throughput screen on lung fibroblas
Externí odkaz:
https://doaj.org/article/52dc0cfc7d72406b8dc456fc310de27a
Autor:
Tomaž Stepišnik, Dragi Kocev
Publikováno v:
PeerJ Computer Science, Vol 7, p e506 (2021)
Semi-supervised learning combines supervised and unsupervised learning approaches to learn predictive models from both labeled and unlabeled data. It is most appropriate for problems where labeled examples are difficult to obtain but unlabeled exampl
Externí odkaz:
https://doaj.org/article/48ac210817f1400f9562d7232f7d10e2