Spremljaj
Vid Podpečan
Vid Podpečan
research associate, Dept. of Knowledge Technologies, Jožef Stefan Institute
Preverjeni e-poštni naslov na ijs.si
Naslov
Navedeno
Navedeno
Leto
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform
J Kranjc, J Smailović, V Podpečan, M Grčar, M Žnidaršič, N Lavrač
Information Processing & Management 51 (2), 187-203, 2015
1172015
Clowdflows: a cloud based scientific workflow platform
J Kranjc, V Podpečan, N Lavrač
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
1012012
ClowdFlows: Online workflows for distributed big data mining
J Kranjc, R Orač, V Podpečan, N Lavrač, M Robnik-Šikonja
Future Generation Computer Systems 68, 38-58, 2017
802017
Orange4WS environment for service-oriented data mining
V Podpečan, M Zemenova, N Lavrač
The Computer Journal 55 (1), 82-98, 2012
702012
Machine learning and data mining methods for managing Parkinson’s disease
D Miljkovic, D Aleksovski, V Podpečan, N Lavrač, B Malle, A Holzinger
Machine learning for health informatics: state-of-the-art and future …, 2016
442016
SegMine workflows for semantic microarray data analysis in Orange4WS
V Podpečan, N Lavrač, I Mozetič, PK Novak, I Trajkovski, L Langohr, ...
BMC bioinformatics 12, 1-16, 2011
392011
Analysis of glioblastoma patients' plasma revealed the presence of microRNAs with a prognostic impact on survival and those of viral origin
A Herman, K Gruden, A Blejec, V Podpečan, H Motaln, P Rožman, ...
PLoS One 10 (5), e0125791, 2015
362015
Ménage à trois: unraveling the mechanisms regulating plant–microbe–arthropod interactions
K Gruden, J Lidoy, M Petek, V Podpečan, V Flors, KK Papadopoulou, ...
Trends in Plant Science 25 (12), 1215-1226, 2020
352020
Signalling network construction for modelling plant defence response
D Miljkovic, T Stare, I Mozetič, V Podpečan, M Petek, K Witek, ...
PLoS One 7 (12), e51822, 2012
322012
Karst exploration: extracting terms and definitions from karst domain corpus
S Pollak, A Repar, M Martinc, V Podpečan
Proceedings of eLex 2019, 934-956, 2019
202019
Semantic subgroup explanations
A Vavpetič, V Podpečan, N Lavrač
Journal of Intelligent Information Systems 42, 233-254, 2014
202014
Conceptual representations for computational concept creation
P Xiao, H Toivonen, O Gross, A Cardoso, J Correia, P Machado, P Martins, ...
ACM Computing Surveys (CSUR) 52 (1), 1-33, 2019
162019
Real-time data analysis in ClowdFlows
J Kranjc, V Podpečan, N Lavrač
2013 IEEE International Conference on Big Data, 15-22, 2013
162013
Contrasting subgroup discovery
L Langohr, V Podpečan, M Petek, I Mozetič, K Gruden, N Lavrač, ...
The Computer Journal 56 (3), 289-303, 2013
162013
TermEnsembler: An ensemble learning approach to bilingual<? br?> term extraction and alignment
A Repar, V Podpečan, A Vavpetič, N Lavrač, S Pollak
Terminology 25 (1), 93-120, 2019
152019
Interactive exploration of heterogeneous biological networks with Biomine Explorer
V Podpečan, Ž Ramšak, K Gruden, H Toivonen, N Lavrač
Bioinformatics 35 (24), 5385-5388, 2019
102019
EMBEDDIA tools, datasets and challenges: Resources and hackathon contributions
S Pollak, M Robnik-Šikonja, M Purver, M Boggia, R Shekhar, M Pranjić, ...
Proceedings of the EACL Hackashop on News Media Content Analysis and …, 2021
92021
Explaining subgroups through ontologies
A Vavpetič, V Podpečan, S Meganck, N Lavrač
PRICAI 2012: Trends in Artificial Intelligence: 12th Pacific Rim …, 2012
92012
An implementation of the Pathfinder algorithm for sparse networks and its application on text network
A Vavpetič, V Batagelj, V Podpečan
12th International Multiconference Information Society, vol. A, 236-239, 2009
82009
Representation Learning: Propositionalization and Embeddings
N Lavrač, V Podpečan, M Robnik-Šikonja
Springer Nature, 2021
62021
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Članki 1–20