Publikacije

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1.01 Izvirni znanstveni članek

1. ŠKRLJ, Blaž, KRALJ, Jan, LAVRAČ, Nada. CBSSD: community-based semantic subgroup discovery. Journal of intelligent information systems, ISSN 0925-9902, 2019, vol. 53, no. 2, str. 265–304 [COBISS.SI-ID 2057639] [link] [pdf]

2. ŠKRLJ, Blaž, KRALJ, Jan, LAVRAČ, Nada, POLLAK, Senja. Towards robust text classification with semantics-aware recurrent neural architecture. Machine learning and knowledge extraction, 2019, vol. 1, no. 2, str. 575-589. [COBISS.SI-ID 32295975] [link][pdf]

3. KRALJ, Jan, ROBNIK ŠIKONJA, Marko, LAVRAČ, Nada. NetSDM : semantic data mining with network analysis. Journal of machine learning research, ISSN 1532-4435. [Print ed.], 2019, vol. 20, str. 1-50. [COBISS.SI-ID 32260391] [link][pdf]

4. PODPEČAN, Vid, RAMŠAK, Živa, GRUDEN, Kristina, TOIVONEN, Hannu, LAVRAČ, Nada. Interactive exploration of heterogeneous biological networks with Biomine Explorer. Bioinformatics, ISSN 1367-4803. [Print ed.], 2019, 4 str., doi: 10.1093/bioinformatics/btz509. [COBISS.SI-ID 5135439] [pdf]

5. ŠKRLJ, Blaž, KRALJ, Jan, LAVRAČ, Nada. Py3plex toolkit for visualization and analysis of multilayer networks. Applied network science, ISSN 2364-8228, 2019, vol. 4, no. 1, str. 94-1-94-24, doi: 10.1007/s41109-019-0203-7. [COBISS.SI-ID 32820007] [pdf]

6. MILEVA BOSHKOSKA, Biljana, MILJKOVIĆ, Dragana, VALMARSKA, Anita, GATSIOS, Dimitros, RIGAS, George, KONITSIOTIS, Spyros, TSIOURIS, Kostas M., FOTIADIS, Dimitrios I., BOHANEC, Marko. Decision support for medication change of Parkinsonʼs disease patients. Computer methods and programs in biomedicine, ISSN 0169-2607. [Print ed.], [in press] 2020, 35 str., doi: 10.1016/j.cmpb.2020.105552. [COBISS.SI-ID 17642243] [pdf]

7. ŠKRLJ, Blaž, MARTINC, Matej, KRALJ, Jan, LAVRAČ, Nada, POLLAK, Senja. tax2vec : constructing interpretable features from taxonomies for short text classification. Computer speech & language, ISSN 0885-2308, 2020, 12 str., doi: 10.1016/j.csl.2020.101104. [COBISS.SI-ID 15627779] [pdf]

8. ŠKRLJ, Blaž, KRALJ, Jan, LAVRAČ, Nada. Embedding-based Silhouette community detection. Machine learning, ISSN 0885-6125.2020, 33 str., doi: 10.1007/s10994-020-05882-8. [COBISS.SI-ID 24468483] [pdf]

1.08 Objavljeni znanstveni prispevek na konferenci

1. ŠKRLJ, Blaž, LAVRAČ, Nada. Py3plex : a library for scalable multilayer network analysis and visualization. V: CARLUCCI AIELLO, Luigia (ur.). Complex networks & their applications VII : the 7th International Conference on Complex Networks and their Applications : Proceedings. Vololume 1, (Studies in computational intelligence, ISSN 1860-949X, volume 812). Cham: Springer. 2019, str. 757-768. [COBISS.SI-ID 31934247] [pdf]

2. ŠKRLJ, Blaž, LAVRAČ, Nada, KRALJ, Jan. Symbolic graph embedding using frequent pattern mining. V: KRALJ NOVAK, Petra (ur.), ŠMUC, Tomislav (ur.), DŽEROSKI, Sašo (ur.). Discovery Science : 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, : proceedings, (Lecture notes in computer science, ISSN 0302-9743, Lecture notes in artificial intelligence, 11828). Cham: Springer. 2019, lNCS 11828, str. 261-275. [COBISS.SI-ID 32809767] [pdf]

3. ŠKRLJ, Blaž, RENOUST, Benjamin. Patterns of multiplex layer entanglement across real and synthetic networks. V: CARLUCCI AIELLO, Luigia (ur.). Complex networks & their applications VIII : the 7th International Conference on Complex Networks and their Applications : Proceedings. Volume 1, (Studies in computational intelligence, ISSN 1860-949X, volume 812). Cham: Springer. 2019, str. 671-683. [COBISS.SI-ID 32902951] [pdf]

2.13 Elaborat, predštudija, študija

1. ŠKRLJ, Blaž, LAVRAČ, Nada, KRALJ, Jan. Analysis of the effect of size, type and number of background knowledge bases, (IJS delovno poročilo, 13030). 2020. [COBISS.SI-ID 13620227] [pdf]

3.15 Prispevek na konferenci brez natisa

1. ŠKRLJ, Blaž, KRALJ, Jan, MARTINC, Matej, LAVRAČ, Nada, POLLAK, Senja. Semantics-aware recurrent neural architectures : presented at 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, Mons, Belgium October 15-16, 2018. [COBISS.SI-ID 31789607]