Recently accepted papers
- Cornei Laura, Breabăn Mihaela, Studying the Generalization Abilities of Graph Neural Networks for Combinatorial Optimization: A Case Study on the Staff Scheduling Problem,
accepted to be published in the Connection Science journal, 2026.
- Cornei Laura, Breabăn Mihaela, The Nurse Rostering Problem: Recent Advances and Future Perspectives,
accepted to be published in the Applied Artificial Intelligence journal, 2026.
- Cornei Laura, Răschip Mădălina, Breabăn Mihaela, Improving Explainability of Graph Neural Networks through Multi-Objective Evolutionary Computation,
accepted to 30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2026.
Publications
- Cornei Laura, Hybrid Loss Function for Graph Neural Networks: a Case Study on a Real-World Timetabling Problem,
20th International Conference on Research Challenges in Information Science (RCIS), 2026.
- Cornei Laura, Breabăn Mihaela, Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study,
29th International Conference on the Applications of Evolutionary Computation (EvoApplications), 2026. ArXiv link
- Cornei Laura, Cornei Doru, Foșalău Cristian, An Ontology-Driven Solution for Capturing Spatial and Temporal
Dynamics in Smart Agriculture, 18th International Conference on Research Challenges in Information
Science (RCIS), 2024
- Cornei Doru, Foșalău Cristian, Cornei Laura, A Cheap and Practical IoT Solution for Agricultural Data Monitoring,
IEEE International Conference And Exposition On Electric And Power Engineering (EPEi), 2024
- Amihăesei Sergiu, Cornei Laura, Stoica George, Appeal for attention at SemEval-2023 Task 3: Data augmentation and
extension strategies for detection of online news persuasion techniques, Proceedings of the 17th
International Workshop on Semantic Evaluation (SemEval), 2023
- Cornei Doru, Foșalău Cristian, Cornei Laura, A Study Regarding Power Consumption of An IoT Node For Image
Retrieval and its Optimization, Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power
Engineering, Electronics Section (Bul. Politeh. Inst. Iași), 2023
- Cornei Laura, Croitoru Eugen, Luchian Henri, Unsupervised text feature selection using NSGA II with Hill Climbing
local search, 27th International Conference on Knowledge-Based and Intelligent Information &
Engineering Systems (KES), 2023
- Cornei Laura, Trandabăț Diana, DBSpark: A system for natural language to SPARQL translation, 17th
International Conference on Research Challenges in Information Science (RCIS), 2023
- Cornei Laura, Alboaie Lenuța, An ontology and neural networks based platform for improving impact policy
assessment, 26th International Conference on Knowledge-Based and Intelligent Information &
Engineering Systems (KES), 2022
Books and book chapters