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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)- [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
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