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.
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)
Optimal Priority and Threshold Assignment for Fixed-priority Preemption Threshold Scheduling (Oct 2017) Leo Hatvani, Sara Afshar, Reinder J. Bril 7th Embedded Operating Systems Workshop (EWiLi'17)
Schedulability using native non-preemptive groups on an AUTOSAR/OSEK platform with caches (Mar 2017) Leo Hatvani, Reinder J. Bril, Sebastian Altmeyer Design, Automation & Test in Europe Conference & Exhibition (DATE2017)