Leo has published research in the domains of embedded systems, formal verification, and machine learning. His secondary interests are data visualization and human-computer interaction.
Artificial Intelligence Methods for Optimization of the Software Testing Process With Practical Examples and Exercises (Jun 2022) Sahar Tahvili, Leo Hatvani
Dilemmas in designing e-learning experiences for professionals (Dec 2021) Mobyen Uddin Ahmed, Ioanna Aslanidou, Jakob Axelsson, Shahina Begum, Leo Hatvani, Anders Olsson, Sebastian Schwede, Carina Sjödin, Jan Skvaril, Valentina Zaccaria 20th European Conference on e-Learning (ECEL)
Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases (Oct 2020) Cristina Landin, Leo Hatvani, Sahar Tahvili, Hugo Haggren , Martin Längkvist , Amy Loutfi , Anne Håkansson The Fifteenth International Conference on Software Engineering Advances (ICSEA 2020)
A Novel Methodology to Classify Test Cases Using Natural Language Processing and Imbalanced Learning (Aug 2020) Sahar Tahvili, Leo Hatvani, Enislay Ramentol , Rita Pimentel , Wasif Afzal, Francisco Herrera Engineering Applications of Artificial Intelligence (EAAI)
Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019) Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)
Cluster-Based Test Scheduling Strategies Using Semantic Relationships between Test Specifications (Jun 2018) Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Mehrdad Saadatmand , Markus Bohlin 5th International Workshop on Requirements Engineering and Testing (RET'18)