PhD
Marko Robnik Šikonja
no.:
15295
researcher – active in research organisation
Code |
Science |
Field |
Subfield |
2.07.07 |
Engineering sciences and technologies |
Computer science and informatics |
Intelligent systems - software |
Code |
Science |
Field |
P176 |
Natural sciences and mathematics |
Artificial intelligence |
P170 |
Natural sciences and mathematics |
Computer science, numerical analysis, systems, control |
artificial intelligence, machine learning, data mining, data science, natural language processing, network analytics
Data for the last 5 years (citations for the last 10 years) on
December 3, 2023;
A3 for period
2017-2021
(update for tender in 2022:
YES)
Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
WoS |
65 |
3,166 |
3,054 |
46.98 |
Scopus |
81 |
4,095 |
3,936 |
48.59 |
no. |
Title (with video link) |
Event |
Source |
1. |
|
|
|
2. |
|
|
Videolectures
|
3. |
|
|
Videolectures
|
4. |
|
|
Videolectures
|
Mentoring junior researchers
no. |
Name and surname |
Type |
Period |
Code |
1 |
Matej Klemen |
Bologna doctoral studies |
|
55754 |
Level of education |
Professional title |
Study subject |
Faculty |
Year |
Bachelor's degree |
|
|
University of Ljubljana, Faculty of Electrical Engineering
|
1993 |
Master's degree |
|
Computer Science |
University of Ljubljana, Faculty of Computer and Information Science
|
1997 |
Doctor's degree |
Ph. D. |
Computer Science |
University of Ljubljana, Faculty of Computer and Information Science
|
2001 |
Doctoral dissertations and other final papers
Show
ARIS research and infrastructure programmes
Legend
Marko Robnik-Šikonja is Professor of Computer Science and Informatics at the University of Ljubljana, Faculty of Computer and Information Science. He obtained his Ph.D. in Computer Science and Informatics from the University of Ljubljana in 2001. His research interests span machine learning, data mining, knowledge discovery in databases, cognitive modeling, natural language processing, network analysis, and application of data mining techniques. His most notable scientific results concern feature evaluation, ensemble learning, predictive model explanation, information network analysis, probabilistic modeling, cost-sensitive learning, generation of semi-artificial data, and natural language analysis. He is (co)author of approximately 100 scientific publications that were cited more than 3500 times. He is author and maintainer of three open source R data mining packages.