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2020 – today
- 2023
[i5]Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden:
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks. CoRR abs/2302.03907 (2023)- 2022
- [j10]Blaz Skrlj
, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac:
Deep node ranking for neuro-symbolic structural node embedding and classification. Int. J. Intell. Syst. 37(1): 914-943 (2022) - 2021
- [j9]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. Comput. Speech Lang. 65: 101104 (2021) - 2020
- [j8]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette community detection. Mach. Learn. 109(11): 2161-2193 (2020)
2010 – 2019
- 2019
- [j7]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Py3plex toolkit for visualization and analysis of multilayer networks. Appl. Netw. Sci. 4(1): 94:1-94:24 (2019) - [j6]Ping Xiao, Hannu Toivonen, Oskar Gross, Amílcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Gonçalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Díaz, Virginia Francisco, Pablo Gervás, Raquel Hervás, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrac, Tanja Urbancic, Frank van der Velde, Stuart Adam Battersby:
Conceptual Representations for Computational Concept Creation. ACM Comput. Surv. 52(1): 9:1-9:33 (2019) - [j5]Blaz Skrlj, Jan Kralj, Nada Lavrac:
CBSSD: community-based semantic subgroup discovery. J. Intell. Inf. Syst. 53(2): 265-304 (2019) - [j4]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
NetSDM: Semantic Data Mining with Network Analysis. J. Mach. Learn. Res. 20: 32:1-32:50 (2019) - [j3]Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak:
Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture. Mach. Learn. Knowl. Extr. 1(2): 575-589 (2019) - [c8]Blaz Skrlj, Nada Lavrac, Jan Kralj:
Symbolic Graph Embedding Using Frequent Pattern Mining. DS 2019: 261-275 - [i4]Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. CoRR abs/1902.00438 (2019) - [i3]Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac:
Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification. CoRR abs/1902.03964 (2019) - [i2]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Embedding-based Silhouette Community Detection. CoRR abs/1908.02556 (2019) - [i1]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Symbolic Graph Embedding using Frequent Pattern Mining. CoRR abs/1910.13314 (2019) - 2018
- [j2]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
HINMINE: heterogeneous information network mining with information retrieval heuristics. J. Intell. Inf. Syst. 50(1): 29-61 (2018) - [c7]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization. COMPLEX NETWORKS (1) 2018: 757-768 - [c6]Blaz Skrlj, Jan Kralj, Nada Lavrac:
Targeted End-to-End Knowledge Graph Decomposition. ILP 2018: 157-171 - 2017
- [c5]Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac:
Community-Based Semantic Subgroup Discovery. NFMCP@PKDD/ECML 2017: 182-196 - 2016
- [j1]Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén:
Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. 105(1): 3-39 (2016) - [c4]Jan Kralj, Anze Vavpetic, Michel Dumontier, Nada Lavrac:
Network Ranking Assisted Semantic Data Mining. IWBBIO 2016: 752-764 - 2015
- [c3]Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac:
Mining Text Enriched Heterogeneous Citation Networks. PAKDD (1) 2015: 672-683 - [c2]Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac:
Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics. NFMCP 2015: 194-208 - 2014
- [c1]Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén:
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science 2014: 1-12
Coauthor Index
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