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Jan Kralj
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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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