V. Podgorelec

Iztok Fister, V. Podgorelec, S. Salcedo-Sanz, 2022, 2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo).

Text classification method based on self-training and LDA topic models

Vili Podgorelec, Miha Pavlinek, V. Podgorelec, 2017, Expert Syst. Appl..

Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts

Vili Podgorelec, Grega Vrbančič, V. Podgorelec, 2022, Expert Syst. Appl..

Automating ontology based information integration using service orientation

V. Podgorelec, B. Grasic, 2010 .

Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic

Vili Podgorelec, Rodrigo C. Barros, Márcio P. Basgalupp, 2015, SAC.

Supporting Medical Decisions with Vector Decision Trees

Vili Podgorelec, Peter Kokol, Matej Sprogar, 2001, MedInfo.

Vector decision trees

Vili Podgorelec, Peter Kokol, Matej Sprogar, 2000, Intell. Data Anal..

Scrum Task Allocation Based on Particle Swarm Optimization

Vili Podgorelec, Iztok Fister, Lucija Brezocnik, 2018, BIOMA.

Nature-Inspired Cryptoanalysis Methods for Breaking Vigenère Cipher

Vili Podgorelec, Iztok FisterJr., Lucija Brezočnik, 2020 .

Heuristic Crossover Operator for Evolutionary Induced Decision Trees

Vili Podgorelec, Saso Karakatic, V. Podgorelec, 2014, IJCCI.

Expert-Assisted Classification Rules Extraction Algorithm

Vili Podgorelec, V. Podgorelec, 2010, ADBIS.

Improved classification with allocation method and multiple classifiers

Vili Podgorelec, Saso Karakatic, V. Podgorelec, 2016, Inf. Fusion.

Knowledge discovery with classification rules in a cardiovascular dataset

Vili Podgorelec, Peter Kokol, Marjan Hericko, 2005, Comput. Methods Programs Biomed..

Swarm Intelligence Approaches for Parameter Setting of Deep Learning Neural Network: Case Study on Phishing Websites Classification

Grega Vrbancic, Vili Podgorelec, Iztok Fister, 2018, WIMS.

Transfer Learning Tuning Utilizing Grey Wolf Optimizer for Identification of Brain Hemorrhage from Head CT Images

Grega Vrbancic, Vili Podgorelec, Milan Zorman, 2019, StuCoSReC. Proceedings of the 2019 6th Student Computer Science Research Conference.

Estimating software complexity from UML models

Vili Podgorelec, Marjan Hericko, V. Podgorelec, 2007, SOEN.

Assessing the state of the software process development using the chaos theory

Vili Podgorelec, Peter Kokol, Ana Isabel Cardoso, 2000, SOEN.

A Fractal Software Complexity Metric Analyser

Vili Podgorelec, Peter Kokol, Milan Zorman, 1999, EUROCAST.

Development of an Autonomous, Intelligent and Adaptive E-learning System

Kosta Dolenc, Andrej Sorgo, Saso Karakatic, 2019, 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Improving mining of medical data by outliers prediction

Vili Podgorelec, Marjan Hericko, Ivan Rozman, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Using semantic web technologies and non-procedural programming language for selecting team members

Vili Podgorelec, Bostjan Grasic, V. Podgorelec, 2011 .

Medical diagnostic process optimization through the semantic integration of data resources

Vili Podgorelec, Luka Pavlic, Bostjan Grasic, 2009, Comput. Methods Programs Biomed..

Automating execution of web services for ontology based information integration

Vili Podgorelec, Bostjan Grasic, V. Podgorelec, 2009, CI 2009.

A question-based design pattern advisement approach

Vili Podgorelec, Marjan Hericko, Luka Pavlic, 2014, Comput. Sci. Inf. Syst..

Upgrade of a current research information system with ontologically supported semantic search engine

Vili Podgorelec, Ales Bosnjak, V. Podgorelec, 2016, Expert Syst. Appl..

Document Enrichment using DBPedia Ontology for Short Text Classification

Vili Podgorelec, Jernej Flisar, V. Podgorelec, 2018, WIMS.

Some applications of intelligent systems in medicine

V. Podgorelec, T.W. Druzovec, V. Podgorelec, 2005, IEEE 3rd International Conference on Computational Cybernetics, 2005. ICCC 2005..

Applying Weighted Particle Swarm Optimization to Imbalanced Data in Software Defect Prediction

Vili Podgorelec, Lucija Brezočnik, V. Podgorelec, 2018 .

Genetic Algorithm Based System for Patient Scheduling in Highly Constrained Situations

Vili Podgorelec, Peter Kokol, P. Kokol, 1997, Journal of Medical Systems.

A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas

Iztok Fister, V. Podgorelec, S. Salcedo-Sanz, 2023, Expert Syst. Appl..

Datasets for phishing websites detection

Iztok Fister, V. Podgorelec, Grega Vrbancic, 2020, Data in brief.

Evolutionary design of decision trees

Vili Podgorelec, Matej Sprogar, Sandi Pohorec, 2013, WIREs Data Mining Knowl. Discov..

Semantic Web Based Integration of Knowledge Resources for Supporting Collaboration

Vili Podgorelec, Marjan Hericko, Luka Pavlic, 2007, Informatica.

Identification of Self-Admitted Technical Debt Using Enhanced Feature Selection Based on Word Embedding

Vili Podgorelec, Jernej Flisar, V. Podgorelec, 2019, IEEE Access.

Evolutionary design of decision trees for medical application

Vili Podgorelec, Peter Kokol, Sandi Pohorec, 2012, WIREs Data Mining Knowl. Discov..

Complexity-driven Evolution of Decision Graphs for Classification of Medical Data

Vili Podgorelec, V. Podgorelec, 2005, Informatica.

Solving Agile Software Development Problems with Swarm Intelligence Algorithms

Vili Podgorelec, Lucija Brezočnik, Iztok FisterJr., 2019, New Technologies, Development and Application II.

Intelligent medical systems.

P Kokol, M Zorman, V Podgorelec, 2000, Studies in health technology and informatics.

Implementing Innovative IT Solutions with Semantic Web Technologies

Vili Podgorelec, Bostjan Grasic, V. Podgorelec, 2010 .

Semantic Web Services-Based Knowledge Management Framework

Vili Podgorelec, Bostjan Grasic, V. Podgorelec, 2016 .

On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification

Iztok Fister, Dušan Fister, Vili Podgorelec, 2020, ICCS.

Assessing the current state of software evolution and intellectual energy spent

Vili Podgorelec, V. Podgorelec, 2010 .

Improved mining of software complexity data on evolutionary filtered training sets

Vili Podgorelec, V. Podgorelec, 2009 .

Improving the Reliability of Medical Software by Predicting the Dangerous Software Modules

Vili Podgorelec, Ivan Rozman, Marjan Heričko, 2005, Journal of Medical Systems.

Towards More Optimal Medical Diagnosing with Evolutionary Algorithms

Vili Podgorelec, Peter Kokol, P. Kokol, 2001, Journal of Medical Systems.

Decision tree's induction strategies evaluated on a hard real world problem

Vili Podgorelec, Peter Kokol, Margaret G. E. Peterson, 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.

The Art of Building Decision Trees

Vili Podgorelec, Peter Kokol, Milan Zorman, 2000, Journal of Medical Systems.

Fault-Threshold Prediction with Linear Programming Methodologies

Vili Podgorelec, Peter Kokol, Maurizio Pighin, 2003, Empirical Software Engineering.

Knowledge management in organisations: mapping the research literature

Vili Podgorelec, Peter Kokol, Milan Zorman, 2017, Int. J. Web Eng. Technol..

An analysis of software correctness prediction methods

Vili Podgorelec, Peter Kokol, Matej Sprogar, 2001, Proceedings Second Asia-Pacific Conference on Quality Software.

Assessing software complexity from UML using fractal complexity measure

V. Podgorelec, M. Hericko, M.B. Juric, 2004, Second IEEE International Conference on Computational Cybernetics, 2004. ICCC 2004..

Improving design pattern adoption with Ontology-Based Design Pattern Repository

Vili Podgorelec, Marjan Hericko, Luka Pavlic, 2008, ITI 2008 - 30th International Conference on Information Technology Interfaces.

Vili Podgorelec, Saso Karakatic, Leon Bosnjak, 2015, 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Weighting and sampling data for individual classifiers and bagging with genetic algorithms

Vili Podgorelec, Marjan Hericko, Saso Karakatic, 2015, 2015 7th International Joint Conference on Computational Intelligence (IJCCI).

Multimethod machine learning approach for medical diagnosing

P. Kokol, L. Lhotska, V. Podgorelec, 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

Utilizing Interaction Metrics in a Virtual Learning Environment for Early Prediction of Students' Academic Performance

V. Podgorelec, Saša Brdnik, Tjaša Heričko, 2022, SQAMIA.

Finding the right decision tree's induction strategy for a hard real world problem

Vili Podgorelec, Peter Kokol, Margaret G. E. Peterson, 2001, Int. J. Medical Informatics.

Text classification method based on self-training and LDA topic models

V. Podgorelec, Miha Pavlinek, 2017, Expert Syst. Appl..

Medical diagnostic process optimization through the semantic integration of data resources

V. Podgorelec, B. Grasic, Luka Pavlič, 2009, Comput. Methods Programs Biomed..