default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVili Podgorelec
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Iztok Fister Jr., Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Andreas Holzinger:
NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture. Expert Syst. J. Knowl. Eng. 41(3) (2024)- [c60]Vili Podgorelec, Iztok Fister, Grega Vrbancic:
Towards Green AI by Reducing Training Effort of Recurrent Neural Networks Using Hyper-Parameter Optimization with Dynamic Stopping Criteria. SISY 2024: 161-166 - [i4]Iztok Fister Jr., Dusan Fister, Vili Podgorelec
, Iztok Fister:
Profiling the carbon footprint of performance bugs. CoRR abs/2401.01782 (2024) - 2023
- [j36]Iztok Fister Jr., Iztok Fister, Dusan Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas. Expert Syst. Appl. 233: 120901 (2023) - [j35]Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
Time series numerical association rule mining variants in smart agriculture. J. Ambient Intell. Humaniz. Comput. 14(12): 16853-16866 (2023) - [i3]Iztok Fister Jr., Iztok Fister, Dusan Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas. CoRR abs/2302.12594 (2023) - 2022
- [j34]Grega Vrbacic, Spela Pecnik, Vili Podgorelec:
Hyper-parameter optimization of convolutional neural networks for classifying COVID-19 X-ray images. Comput. Sci. Inf. Syst. 19(1): 327-352 (2022) - [j33]Grega Vrbancic, Vili Podgorelec:
Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts. Expert Syst. Appl. 187: 115834 (2022) - [c59]Sasa Brdnik, Vili Podgorelec, Tjasa Hericko:
Utilizing Interaction Metrics in a Virtual Learning Environment for Early Prediction of Students' Academic Performance. SQAMIA 2022 - [i2]Sasa Brdnik, Bostjan Sumak, Vili Podgorelec:
Aligning Learners' Expectations and Performance by Learning Analytics Systemwith a Predictive Model. CoRR abs/2211.07729 (2022) - [i1]Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
Time series numerical association rule mining variants in smart agriculture. CoRR abs/2212.03669 (2022) - 2021
- [c58]Iztok Fister, Grega Vrbancic, Vili Podgorelec, Iztok Fister Jr.:
Synthetic Data Augmentation of Cycling Sport Training Datasets. ICO 2021: 65-74 - 2020
- [j32]Grega Vrbancic, Vili Podgorelec:
Transfer Learning With Adaptive Fine-Tuning. IEEE Access 8: 196197-196211 (2020) - [j31]Jernej Flisar, Vili Podgorelec:
Improving Short Text Classification using Information from DBpedia Ontology. Fundam. Informaticae 172(3): 261-297 (2020) - [c57]Iztok Fister Jr., Iztok Fister, Dusan Fister, Grega Vrbancic, Vili Podgorelec:
On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification. ICCS (5) 2020: 18-28 - [c56]Iztok Fister Jr., Vili Podgorelec, Iztok Fister:
Improved Nature-Inspired Algorithms for Numeric Association Rule Mining. ICO 2020: 187-195 - [c55]Grega Vrbancic, Spela Pecnik, Vili Podgorelec:
Identification of COVID-19 X-ray Images using CNN with Optimized Tuning of Transfer Learning. INISTA 2020: 1-8
2010 – 2019
- 2019
- [j30]Jernej Flisar, Vili Podgorelec:
Identification of Self-Admitted Technical Debt Using Enhanced Feature Selection Based on Word Embedding. IEEE Access 7: 106475-106494 (2019) - [j29]Grega Vrbancic, Iztok Fister Jr., Vili Podgorelec:
Parameter Setting for Deep Neural Networks Using Swarm Intelligence on Phishing Websites Classification. Int. J. Artif. Intell. Tools 28(6): 1960008:1-1960008:28 (2019) - [c54]Bostjan Sumak, Vili Podgorelec, Saso Karakatic, Kosta Dolenc, Andrej Sorgo:
Development of an Autonomous, Intelligent and Adaptive E-learning System. MIPRO 2019: 1492-1497 - [c53]Goran Mausa, Tihana Galinac Grbac, Lucija Brezocnik, Vili Podgorelec, Marjan Hericko:
Software Metrics as Identifiers of Defect Occurrence Severity. SQAMIA 2019 - [e2]Tatjana Welzer, Johann Eder, Vili Podgorelec, Robert Wrembel, Mirjana Ivanovic, Johann Gamper, Mikolaj Morzy, Theodoros Tzouramanis, Jérôme Darmont, Aida Kamisalic Latific:
New Trends in Databases and Information Systems, ADBIS 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8-11, 2019, Proceedings. Communications in Computer and Information Science 1064, Springer 2019, ISBN 978-3-030-30277-1 [contents] - [e1]Tatjana Welzer, Johann Eder, Vili Podgorelec, Aida Kamisalic Latific:
Advances in Databases and Information Systems - 23rd European Conference, ADBIS 2019, Bled, Slovenia, September 8-11, 2019, Proceedings. Lecture Notes in Computer Science 11695, Springer 2019, ISBN 978-3-030-28729-0 [contents] - 2018
- [c52]Lucija Brezocnik, Iztok Fister Jr., Vili Podgorelec:
Scrum Task Allocation Based on Particle Swarm Optimization. BIOMA 2018: 38-49 - [c51]Jernej Flisar, Vili Podgorelec:
Enhanced Feature Selection Using Word Embeddings for Self-Admitted Technical Debt Identification. SEAA 2018: 230-233 - [c50]Saso Karakatic, Vili Podgorelec:
Building boosted classification tree ensemble with genetic programming. GECCO (Companion) 2018: 165-166 - [c49]Jernej Flisar, Vili Podgorelec:
Document Enrichment using DBPedia Ontology for Short Text Classification. WIMS 2018: 8:1-8:9 - [c48]Grega Vrbancic, Iztok Fister Jr., Vili Podgorelec:
Swarm Intelligence Approaches for Parameter Setting of Deep Learning Neural Network: Case Study on Phishing Websites Classification. WIMS 2018: 9:1-9:8 - 2017
- [j28]Miha Pavlinek, Vili Podgorelec:
Text classification method based on self-training and LDA topic models. Expert Syst. Appl. 80: 83-93 (2017) - [j27]Bojan Zlahtic, Peter Kokol, Milan Zorman, Vili Podgorelec, Grega Zlahtic:
Knowledge management in organisations: mapping the research literature. Int. J. Web Eng. Technol. 12(1): 4-20 (2017) - [c47]Saso Karakatic, Marjan Hericko, Vili Podgorelec:
Improving Genetic Programming for Classification with Lazy Evaluation and Dynamic Weighting. IJCCI (Selected Papers) 2017: 63-75 - [c46]Saso Karakatic, Marjan Hericko, Vili Podgorelec:
Experiments with Lazy Evaluation of Classification Decision Trees Made with Genetic Programming. IJCCI 2017: 348-353 - 2016
- [j26]Ales Bosnjak, Vili Podgorelec:
Upgrade of a current research information system with ontologically supported semantic search engine. Expert Syst. Appl. 66: 189-202 (2016) - [j25]Saso Karakatic, Vili Podgorelec:
Improved classification with allocation method and multiple classifiers. Inf. Fusion 31: 26-42 (2016) - [j24]Luka Pavlic, Marjan Hericko, Vili Podgorelec, Polona Repolusk:
An Entropy-Based Algorithm for Proposing a Suitable Design Pattern. Informatica 27(4): 843-862 (2016) - [c45]Saso Karakatic, Marjan Hericko, Vili Podgorelec:
The Performance of Allocation Method on Imbalanced Data. EJC 2016: 382-395 - 2015
- [j23]Saso Karakatic, Vili Podgorelec:
A survey of genetic algorithms for solving multi depot vehicle routing problem. Appl. Soft Comput. 27: 519-532 (2015) - [c44]Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp:
Evolving balanced decision trees with a multi-population genetic algorithm. CEC 2015: 54-61 - [c43]Sasa Kuhar, Saso Karakatic, Jernej Flisar, Marjan Hericko, Vili Podgorelec:
Visualizing Ontologies: Challenges and Proposed Solution. EJC 2015: 334-339 - [c42]Saso Karakatic, Marjan Hericko, Vili Podgorelec:
Weighting and Sampling Data for Individual Classifiers and Bagging with Genetic Algorithms. IJCCI (ECTA) 2015: 180-187 - [c41]Peter Kokol, Bojan Zlahtic, Grega Zlahtic, Milan Zorman, Vili Podgorelec:
Knowledge Management in Organizations - A Bibliometric Analysis of Research Trends. KMO 2015: 3-14 - [c40]Mitja Gradisnik, Vili Podgorelec, Marjan Hericko:
An Analysis of the Content of Knowledge Management-Related Courses. KMO 2015: 806-818 - [c39]Leon Bosnjak, Saso Karakatic, Vili Podgorelec:
Using similarity-based selection in evolutionary design of decision trees. MIPRO 2015: 1206-1211 - [c38]Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec:
Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. SAC 2015: 110-117 - 2014
- [j22]Luka Pavlic, Vili Podgorelec, Marjan Hericko:
A question-based design pattern advisement approach. Comput. Sci. Inf. Syst. 11(2): 645-664 (2014) - [j21]Rok Zontar, Ivan Rozman, Vili Podgorelec:
Mapping Ontologies to Objects using a Transformation based on Description Logics. Inf. Technol. Control. 43(3): 230-243 (2014) - [c37]Saso Karakatic, Vili Podgorelec:
Heuristic Crossover Operator for Evolutionary Induced Decision Trees. IJCCI (ECTA) 2014: 289-293 - [c36]Ales Cernezel, Saso Karakatic, Bostjan Brumen, Vili Podgorelec:
Predicting Grades Based on Students' Online Course Activities. KMO 2014: 108-117 - 2013
- [j20]Vili Podgorelec, Matej Sprogar, Sandi Pohorec:
Evolutionary design of decision trees. WIREs Data Mining Knowl. Discov. 3(2): 63-82 (2013) - 2012
- [j19]Peter Kokol, Sandi Pohorec, Gregor Stiglic, Vili Podgorelec:
Evolutionary design of decision trees for medical application. WIREs Data Mining Knowl. Discov. 2(3): 237-254 (2012) - [c35]Sasa Kuhar, Vili Podgorelec:
Ontology Visualization for Domain Experts: A New Solution. IV 2012: 363-369 - [c34]Luka Pavlic, Marjan Hericko, Vili Podgorelec:
Entropy- and Ontology-Based E-Services Proposing Approach. KMO 2012: 409-420 - 2011
- [c33]Vili Podgorelec:
Ontology and Rule Based Inferring on Project Teams. ADNTIIC 2011: 48-57 - [c32]Vili Podgorelec, Mitja Gradisnik:
Combining Semantic Web Technologies and Rule-Based Systems for Building Advanced Medical Applications. ADNTIIC 2011: 219-229 - 2010
- [c31]Vili Podgorelec:
Expert-Assisted Classification Rules Extraction Algorithm. ADBIS 2010: 450-462
2000 – 2009
- 2009
- [j18]Peter Kokol, Vili Podgorelec, Mateja Verlic:
Introduction to the special issue. Comput. Methods Programs Biomed. 95(2-S1): 1-3 (2009) - [j17]Vili Podgorelec, Bostjan Grasic, Luka Pavlic:
Medical diagnostic process optimization through the semantic integration of data resources. Comput. Methods Programs Biomed. 95(2-S1): 55-67 (2009) - [j16]Luka Pavlic, Marjan Hericko, Vili Podgorelec, Ivan Rozman:
Improving Design Pattern Adoption with An Ontology-Based Repository. Informatica (Slovenia) 33(2): 181-189 (2009) - [c30]Vili Podgorelec, Bostjan Grasic:
Adoption of Semantic Web Technologies for Developing Medical Software Systems and Services. EJC 2009: 263-274 - [r1]Vili Podgorelec, Milan Zorman:
Decision Trees. Encyclopedia of Complexity and Systems Science 2009: 1826-1845 - 2008
- [c29]Luka Pavlic, Marjan Hericko, Vili Podgorelec:
Improving design pattern adoption with Ontology-Based Design Pattern Repository. ITI 2008: 649-654 - 2007
- [j15]Vili Podgorelec, Luka Pavlic, Marjan Hericko:
Semantic Web Based Integration of Knowledge Resources for Supporting Collaboration. Informatica (Slovenia) 31(1): 85-91 (2007) - [j14]Vili Podgorelec, Marjan Hericko:
Estimating software complexity from UML models. ACM SIGSOFT Softw. Eng. Notes 32(2): 1-5 (2007) - [c28]Vili Podgorelec, Luka Pavlic:
Supporting Collaboration of Medical Informatics Researchers and Teams. CBMS 2007: 97-102 - [c27]Vili Podgorelec, Luka Pavlic:
Managing Diagnostic Process Data Using Semantic Web. CBMS 2007: 127-134 - 2006
- [c26]Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol:
Using Visual Interpretation of Small Ensembles in Microarray Analysis. CBMS 2006: 691-695 - 2005
- [j13]Vili Podgorelec, Peter Kokol, Milojka Molan Stiglic, Marjan Hericko, Ivan Rozman:
Knowledge discovery with classification rules in a cardiovascular dataset. Comput. Methods Programs Biomed. 80(Supplement-1): S39-S49 (2005) - [j12]Vili Podgorelec:
Complexity-driven Evolution of Decision Graphs for Classification of Medical Data. Informatica (Slovenia) 29(1): 41-52 (2005) - [c25]Vili Podgorelec, Marjan Hericko, Ivan Rozman:
Improving Mining of Medical Data by Outliers Prediction. CBMS 2005: 91-96 - 2003
- [j11]Maurizio Pighin, Vili Podgorelec, Peter Kokol:
Fault-Threshold Prediction with Linear Programming Methodologies. Empir. Softw. Eng. 8(2): 117-138 (2003) - 2002
- [j10]Vili Podgorelec, Peter Kokol:
Evolutionary induced decision trees for dangerous software modules prediction. Inf. Process. Lett. 82(1): 31-38 (2002) - [c24]Peter Kokol, Vili Podgorelec, Milojka Molan Stiglic:
Searching for New Patterns in Medical Data with Evolutionary Programming. AMIA 2002 - [c23]Vili Podgorelec, Peter Kokol, Milojka Molan Stiglic:
Searching for ew Patterns in Cardiovascular Data. CBMS 2002: 111-116 - [c22]Vili Podgorelec, Marjan Hericko, Matjaz B. Juric, Ivan Rozman:
Testing Reliability of Medical Software. CBMS 2002: 185- - [c21]Vili Podgorelec, Peter Kokol, Ivan Rozman:
AREX - Classification Rules Extracting Algorithm Based on Automatic Programming. ECAI 2002: 330-334 - [c20]Maurizio Pighin, Vili Podgorelec, Peter Kokol:
Program Risk Definition via Linear Programming Techniques. IEEE METRICS 2002: 197-196 - 2001
- [j9]Milan Zorman, Vili Podgorelec, Peter Kokol, Margaret G. E. Peterson, Matej Sprogar, Milan Ojstersek:
Finding the right decision tree's induction strategy for a hard real world problem. Int. J. Medical Informatics 63(1-2): 109-121 (2001) - [c19]Peter Kokol, Vili Podgorelec, Milan Zorman, Matej Sprogar, Maurizio Pighin:
An Analysis of Software Correctness Prediction Methods. APAQS 2001: 33-39 - [c18]Vili Podgorelec, Milan Zorman, Peter Kokol, Hans-Peter Eich, Christian Ohmann:
Cross-Learning on Multiple Databases in the Case of Acute Appendicitis. CBMS 2001: 17-22 - [c17]Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma:
Evolving Groups of Basic Decision Trees. CBMS 2001: 183-188 - [c16]Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Lenka Lhotská, Jirí Kléma:
Notes on Medical Decision Model Creation. ISMDA 2001: 270-275 - [c15]Matej Sprogar, Peter Kokol, Milan Zorman, Vili Podgorelec, Ryuichi Yamamoto, Gou Masuda, Norihiro Sakamoto:
Supporting Medical Decisions with Vector Decision Trees. MedInfo 2001: 552-556 - 2000
- [j8]Matej Sprogar, Peter Kokol, Spela Hleb Babic, Vili Podgorelec, Milan Zorman:
Vector decision trees. Intell. Data Anal. 4(3-4): 305-321 (2000) - [j7]Vili Podgorelec, Janez Brest, Peter Kokol:
Power of heterogeneous computing as a vehicle for implementing E3 medical decision support systems. Int. J. Medical Informatics 58: 179-190 (2000) - [j6]Peter Kokol, Vili Podgorelec, Henri Habrias, Nassim Hadj Rabia:
Ranking the Complexity of NIAM Conceptual Schemas by Alpha Metric. ACM SIGPLAN Notices 35(3): 59-64 (2000) - [j5]Peter Kokol, Vili Podgorelec, Ana Isabel Cardoso, Francis Dion:
Assessing the state of the software process development using the chaos theory. ACM SIGSOFT Softw. Eng. Notes 25(3): 41-43 (2000) - [j4]Peter Kokol, Vili Podgorelec, Francis Dion, Rich de Loach:
Intellectual energy in software design. ACM SIGSOFT Softw. Eng. Notes 25(3): 44-45 (2000) - [c14]Milan Zorman, Vili Podgorelec, Peter Kokol, Margaret G. E. Peterson, Joseph M. Lane:
Decision Tree's Induction Strategies Evaluated on a Hard Real World Problem. CBMS 2000: 19-24 - [c13]Vili Podgorelec, Peter Kokol:
Fighting Program Bloat with the Fractal Complexity Measure. EuroGP 2000: 326-337 - [c12]Vili Podgorelec, Peter Kokol, Andrej Kunej:
Nuclear Power Plant Preventive Maintenance Planting Using Genetic Algorithms. IEA/AIE 2000: 611-616
1990 – 1999
- 1999
- [j3]Peter Kokol, Vili Podgorelec, Milan Zorman, Tatjana Kokol, Tatjana Njivar:
Computer and Natural Language Texts - A Comparison Based on Long-Range Correlations. J. Am. Soc. Inf. Sci. 50(14): 1295-1303 (1999) - [j2]Peter Kokol, Vili Podgorelec, Henri Habrias, Nassim Hadj Rabia:
The Complexity of Formal Specifications - Assessments by alpha-Metric. ACM SIGPLAN Notices 34(6): 84-88 (1999) - [c11]Peter Kokol, Spela Hleb Babic, Vili Podgorelec, Milan Zorman:
Some Ideas About Intelligent Medical System Design. CBMS 1999: 48-52 - [c10]Vili Podgorelec, Peter Kokol, Jernej Zavrsnik:
Medical Diagnosis Prediction using Genetic Programming. CBMS 1999: 202-207 - [c9]Vili Podgorelec, Peter Kokol, Milan Zorman:
A Fractal Software Complexity Metric Analyser. EUROCAST 1999: 486-493 - [c8]Peter Kokol, Milan Zorman, Vili Podgorelec, Ana Habjanic, Tanja Medos, Majda Brumec:
Decision Trees - A CIM Tool in Nursing Education. HPCN Europe 1999: 951-958 - [c7]Vili Podgorelec:
proGenesys-Program Generation Tool Based on Genetic Systems. IC-AI 1999: 299-302 - [c6]Vili Podgorelec, Peter Kokol:
Self-Adaptation of Evolutionary Constructed Decision Trees by Information Spreading. ICANNGA 1999: 294-301 - [c5]Spela Hleb Babic, Peter Kokol, Milan Zorman, Vili Podgorelec:
The influence of class discretization to attribute hierarchy of decision trees. MIE 1999: 676-681 - [c4]Vili Podgorelec, Janez Brest, Peter Kokol:
Power of Heterogeneous Computing as a Vehicle for Implementing E$^{\3}$ Medical Decision Support Systems. MIE 1999: 703-708 - 1998
- [j1]Peter Kokol, Janez Brest, Milan Zorman, Vili Podgorelec:
Integration of complexity metrics with the use of decision trees. ACM SIGSOFT Softw. Eng. Notes 23(1): 56-58 (1998) - [c3]Peter Kokol, Vili Podgorelec, Ivan Malcic:
Diagnostic Process Optimisation with Evolutionary Programming. CBMS 1998: 62-67 - [c2]Milan Zorman, Peter Kokol, Vili Podgorelec, Milan Ojstersek, Janez Brest:
Evaluation of World Wide Web Sites Using Neural Networks and Fractal Metrics. NC 1998: 944-948 - [c1]Milan Zorman, Vili Podgorelec, Peter Kokol:
Quest for the information: using intelligent search for finding telemedical sites. SMC 1998: 4086-4091
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 21:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
