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Projects / Programmes source: ARIS

Artificial intelligence and inteligent systems

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Periods
January 1, 2015 - December 31, 2021
Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
P176  Natural sciences and mathematics  Artificial intelligence 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
Keywords
artificial intelligence, machine learning, data mining, data integration, qualitative modelling, intelligent robotics, evolutionary computation, heuristic search, intelligent tutoring systems, automatic commenting, multiagent systems, ambiental intelligence
Evaluation (rules)
source: COBISS
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (69)
no. Code Name and surname Research area Role Period No. of publications
1.  52211  Andrejaana Andova  Engineering sciences and technologies  Junior researcher  2020 - 2021  19 
2.  28779  PhD Zoran Bosnić  Engineering sciences and technologies  Researcher  2015 - 2021  210 
3.  02275  PhD Ivan Bratko  Engineering sciences and technologies  Researcher  2015 - 2021  740 
4.  36469  PhD Niko Colnerič  Engineering sciences and technologies  Junior researcher  2015 - 2018  3 
5.  23399  PhD Tomaž Curk  Engineering sciences and technologies  Researcher  2015 - 2021  243 
6.  37515  PhD Andrej Čopar  Engineering sciences and technologies  Junior researcher  2015 - 2020  6 
7.  53247  PhD Carlo Maria De Masi  Engineering sciences and technologies  Researcher  2020 - 2021  18 
8.  16324  PhD Janez Demšar  Engineering sciences and technologies  Researcher  2015 - 2021  340 
9.  31049  PhD Erik Dovgan  Engineering sciences and technologies  Researcher  2015 - 2021  140 
10.  34403  PhD Miha Drole  Engineering sciences and technologies  Junior researcher  2015 - 2016  6 
11.  32930  Aleš Erjavec    Technical associate  2015 - 2021  12 
12.  29485  PhD Jana Faganeli Pucer  Engineering sciences and technologies  Researcher  2019 - 2021  32 
13.  05026  PhD Bogdan Filipič  Engineering sciences and technologies  Researcher  2015 - 2021  470 
14.  25527  PhD Luka Fuerst  Engineering sciences and technologies  Researcher  2018 - 2021  59 
15.  08501  PhD Matjaž Gams  Engineering sciences and technologies  Researcher  2015 - 2021  1,649 
16.  30915  PhD Dejan Georgiev  Medical sciences  Researcher  2018 - 2021  186 
17.  37943  PhD Hristijan Gjoreski  Engineering sciences and technologies  Researcher  2016 - 2017  118 
18.  39134  PhD Martin Gjoreski  Engineering sciences and technologies  Junior researcher  2016 - 2020  97 
19.  50664  Primož Godec  Engineering sciences and technologies  Junior researcher  2017 - 2019  13 
20.  29523  PhD Anton Gradišek  Natural sciences and mathematics  Researcher  2015 - 2021  414 
21.  33187  PhD Vida Groznik  Engineering sciences and technologies  Researcher  2015 - 2021  58 
22.  28365  PhD Matej Guid  Engineering sciences and technologies  Researcher  2015 - 2018  84 
23.  52179  Ana Herzog    Technical associate  2019 - 2020  0 
24.  35424  PhD Tomaž Hočevar  Engineering sciences and technologies  Researcher  2015 - 2021  27 
25.  38174  PhD Martin Jakomin  Engineering sciences and technologies  Junior researcher  2015 - 2019  8 
26.  38246  PhD Vito Janko  Engineering sciences and technologies  Researcher  2015 - 2021  63 
27.  30875  PhD Boštjan Kaluža  Engineering sciences and technologies  Researcher  2015 - 2017  146 
28.  55755  Jaka Kokošar  Engineering sciences and technologies  Junior researcher  2021  0 
29.  52047  Tine Kolenik  Engineering sciences and technologies  Junior researcher  2018 - 2021  45 
30.  04242  PhD Igor Kononenko  Engineering sciences and technologies  Researcher  2015 - 2021  475 
31.  14565  PhD Matjaž Kukar  Engineering sciences and technologies  Researcher  2015 - 2021  215 
32.  35423  PhD Timotej Lazar  Engineering sciences and technologies  Researcher  2015 - 2019  10 
33.  23581  PhD Mitja Luštrek  Engineering sciences and technologies  Researcher  2015 - 2021  461 
34.  23318  PhD Domen Marinčič  Engineering sciences and technologies  Researcher  2015  31 
35.  52097  Teodora Matić  Engineering sciences and technologies  Junior researcher  2018 - 2021  5 
36.  32926  PhD Miha Mlakar  Engineering sciences and technologies  Researcher  2015 - 2021  53 
37.  29021  PhD Martin Možina  Engineering sciences and technologies  Researcher  2015 - 2021  76 
38.  52096  Amra Omanović  Engineering sciences and technologies  Junior researcher  2018 - 2021  8 
39.  53630  Aleš Papič  Engineering sciences and technologies  Junior researcher  2019 - 2021  0 
40.  32041  PhD Darko Pevec  Engineering sciences and technologies  Researcher  2015  18 
41.  34600  PhD Matej Pičulin  Engineering sciences and technologies  Technical associate  2015 - 2016  12 
42.  29884  PhD Rok Piltaver  Engineering sciences and technologies  Researcher  2015 - 2021  78 
43.  39226  PhD Gregor Pirš  Engineering sciences and technologies  Junior researcher  2016 - 2021  9 
44.  20815  PhD Aleksander Pivk  Engineering sciences and technologies  Researcher  2015 - 2019  34 
45.  37516  Matevž Poberžnik  Engineering sciences and technologies  Junior researcher  2015 - 2019  2 
46.  38461  PhD Ajda Pretnar Žagar  Engineering sciences and technologies  Technical associate  2015 - 2016  45 
47.  38463  Elis Purkov    Technical associate  2015 - 2016  0 
48.  15295  PhD Marko Robnik Šikonja  Engineering sciences and technologies  Researcher  2015 - 2018  393 
49.  20389  PhD Aleksander Sadikov  Engineering sciences and technologies  Researcher  2015 - 2021  183 
50.  50929  Gašper Slapničar  Engineering sciences and technologies  Junior researcher  2019 - 2021  37 
51.  52332  Aleš Smodiš    Technical associate  2018 - 2019  0 
52.  33189  Anže Starič  Engineering sciences and technologies  Junior researcher  2015 - 2016  8 
53.  37827  PhD Martin Stražar  Engineering sciences and technologies  Researcher  2018 - 2019  27 
54.  54708  David Susič  Engineering sciences and technologies  Junior researcher  2020 - 2021  23 
55.  15656  PhD Tomaž Šef  Engineering sciences and technologies  Researcher  2015 - 2021  390 
56.  31917  PhD Domen Šoberl  Engineering sciences and technologies  Junior researcher  2015 - 2018  36 
57.  29630  PhD Miha Štajdohar  Engineering sciences and technologies  Researcher  2015 - 2016  20 
58.  29486  PhD Erik Štrumbelj  Engineering sciences and technologies  Researcher  2015 - 2018  115 
59.  30142  PhD Marko Toplak  Engineering sciences and technologies  Researcher  2017 - 2021  27 
60.  24894  PhD Tea Tušar  Engineering sciences and technologies  Researcher  2015 - 2021  202 
61.  34667  PhD Jernej Ule  Natural sciences and mathematics  Researcher  2015 - 2016  174 
62.  37486  PhD Anita Valmarska  Engineering sciences and technologies  Researcher  2019 - 2021  26 
63.  39266  Aljoša Vodopija  Engineering sciences and technologies  Junior researcher  2017 - 2021  50 
64.  31563  PhD Petar Vračar  Engineering sciences and technologies  Researcher  2015 - 2021  30 
65.  54820  Marko Zeman  Engineering sciences and technologies  Junior researcher  2020 - 2021  6 
66.  12536  PhD Blaž Zupan  Engineering sciences and technologies  Head  2015 - 2021  524 
67.  29020  PhD Jure Žabkar  Engineering sciences and technologies  Researcher  2015 - 2021  115 
68.  30921  PhD Lan Žagar  Engineering sciences and technologies  Researcher  2015 - 2021  17 
69.  35422  PhD Marinka Žitnik  Engineering sciences and technologies  Researcher  2015 - 2019  83 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  86,973 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  14,778 
Abstract
The proposed program will contribute to several aspects of basic research in artificial intelligence (AI), and importantly, also to applications of this technology. Therefore the proposed research program addresses some key questions of AI, in combination with applicative research in corresponding areas. From the scientific perspective, the question of how to achieve or explain various aspects of human intelligence remains open. From application point of view, artificial intelligence has an increasingly important role in the development of information society and rapidly developing sciences like biomedicine. European program Horizon 2020 for ICT includes numerous research directions in science and technology that include AI methods as key ingredients, for example intelligent robotics, factories of the future, e-health, learning and tutoring, energy, transportation, smart platforms/systems/cities, analysis of large collections of data. The proposed research contents is to a large extent a continuation of the program “Artificial intelligence and intelligent systems” in 2009-2014, taking into account some significant recent trends. The research contents is roughly as follows: 1. Machine learning and knowledge discovery in data: Integration of heterogeneous data from various sources, particularly for knowledge discovery in very large data sets; estimating reliability of predictions; approaches with matrix factorisation and archetype analysis; extension of our approach ABML (Argument-Based Machine Learning) to techniques other than rule learning, and optimised selection of critical examples. 2. Qualitative modelling and intelligent robotics: Robot learning with representations of induced models as combination of compositional hierarchies, qualitative models, and numerical constraints; discovery of abstract concepts that are not explicitly present in observation data. 3. Evolutionary computation and heuristic search: evolutionary algorithms for multi criteria optimisation with improved efficiency due to surrogate models and visualisation of results; analysis of pessimistic heuristics in real time search. 4. Intelligent systems for tutoring and commenting: automated teaching with argumentation using the ABML method; assessing problem difficulty for humans; methods for automatic commenting; automated recommendation of teaching materials. 5. Multi-agent systems and ambient intelligence: techniques for integration of various data and knowledge sources, and behaviour analyses adapted to the user, sensors and context; development of a platform for intelligent buildings and cities. 6. Application oriented research: biomedicine (genetics, cancer and neurological disorders), intelligent natural language interfaces, recommender systems, oceanography, etc. 7. Development of tools and program systems: further development of the system Orange for knowledge discovery from data, and domain-specific tools for data analytics; optimisation of ILP system HYPER.
Significance for science
The proposed program envisages research in some of key and timely topics in Artificial Intelligence that are very important due to the impact and applicability of this fast developing area. Therefore we expect that the program will importantly contribute to the development of the selected topics in AI, to practically significant software environments, and confirm the applicability of new scientific results in practice. The questions “What is intelligence?”, and “How it comes about?”, belong to key and insufficiently answered scientific and philosophical questions. This program is contributing also to these questions. In the past, it has already effected philosophical views on the development of science. Currently, our research plan under item 2 (qualitative modelling and intelligent robotics) aims at contributing to one of the fundamental questions of cognitive science: How human knowledge emerges? (J. B. Tenenbaum, et al. How to grow a mind: statistics, structure, and abstraction, Science 331 (6022) (2011) 1279–1285). Here we mean our combined knowledge representation that we are investigating, machine learning using this representation, and mechanisms of automatically discovering new, abstract theoretical concepts. Our proposed research will not be important only for the development of Computer Science. The methods of AI, such as those in machine learning, knowledge discovery from data, the codification and use of domain knowledge, qualitative reasoning and design of intelligent systems, became key ingredients of the infrastructure of other scientific disciplines, in natural and social sciences. The working methods in these sciences have changed due to the availability of AI tools and methods, and the availability of scientific databases. It is now possible to do research in biology, medicine and genetics without necessary availability of a laboratory for experimentation. It is possible to achieve important results in these disciplines just with analysis of publicly available data on the web. The scientists in these disciplines contribute their expertise and skill in the use of data mining methods and tools, possibly in collaboration with AI scientists.  In this, the problem of integration of heterogenous data from various sources is particularly timely and critical.  The proposed research program is largely aimed at this. We intend to continue the development of freely available software that implements methods of data analytics that include also original technical contributions of this research. Our machine learning and data mining system Orange is particularly important in this respect. In addition to numerous techniques of data mining, Orange also includes specialised modules for application in genetics. Orange has very many users world wide, among them are also top scientists from other scientific disciplines. We expect that the research team of this program will, due to excellent connections with user communities and external partners in biology, medicine, genetics and ecological modelling, importantly contribute to AI-based research methods and systems in these areas, and thus also to the development of other scientific disciplines.
Significance for the country
Development of information technology and its multidisciplinary use in science, commerce and education is one of the highest national priorities and is listed as such in the corresponding strategic documents. The expected contributions of the proposed program are as follows. Ambiental intelligence, one of the proposed research topics, explores the technical means to enhance the living quality of the aging population of Slovenia and Europe. Connected to this we will continue our work on decision support systems in medicine, especially in the fields of neurology and oncology. Research of language and speech technologies alleviate the use of Slovenian language in high technology products and services, like in more spoken languages, which contributes to preservation of national identity. We will continue to contribute to the advancement of the information society and e-government in Slovenia, among other activities by organizing the Information Society conference, which already has a fifteen year tradition. Methods of evolutionary computation effectively solve search and optimization problems. The proposed research will result in the algorithms capable of improving product quality and energy efficiency of production processes at large industrial manufacturers, which will at the same time enhance their competitiveness and environmental sustainability. Development of automated speaker identification in forensic science will allow the use of modern scientific and technological means for crime investigation, thus increasing the efficiency of the corresponding justice institutions and cutting the court backlogs. A substantial effort will be devoted to development of computational techniques and their implementations for bioinformatics analysis. Our work in crafting data fusion approaches is specifically important for development of data-rich fields like molecular biology, and can have a profound influence on development of this technologically challenging and scientifically and practically extremely important discipline in Slovenia. Many members of the group are university teachers. With the importance of the AI methods and their great potential socio-economic influence, it is important to teach these methods and their practical use to new generations of students. Worth mentioning are two young researchers from previous research programme who received awards for the best European doctoral dissertations in AI in 2002 and 2005. Socio-economic impact will be additionally enriched by our strong collaborations with foreign partners. The group established relations with numerous prestigious foreign institutions and brought a number of foreign scientists on shorter and longer visits to Slovenia. We also plan to involve them in teaching at the University of Ljubljana.
Most important scientific results Annual report 2015, interim report
Most important socioeconomically and culturally relevant results Annual report 2015, interim report
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