Our Publications

Cristea, D.-M., Onita, D., & Iantovics, L. B.

"Biomimetic Transfer Learning-Based Complex Gastrointestinal Polyp Classification."

Biomimetics, 10(10):699, 2025. https://doi.org/10.3390/biomimetics10100699

Gheorghita, F.-I., Bocanet, V.-I., & Iantovics, L. B.

"Fine-Tuning BiomedBERT with LoRA and Pseudo-Labeling for Accurate Drug–Drug Interactions Classification."

Applied Sciences, 15(15), 8653. 2025.

Gheorghita, F.-I., Bocanet, V.-I., & Iantovics, L. B.

"Machine Learning-Based Drug-Drug Interaction Prediction: A Critical Review of Models, Limitations, and Data Challenges."

Frontiers in Pharmacology, Volume 16, 2025. https://doi.org/10.3389/fphar.2025.1632775

Moldovan, S.-C., & Iantovics, L. B.

"Review on Information Fusion‐Based Data Mining for Improving Complex Anomaly Detection."

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 15(2), May 2025. https://doi.org/10.1002/widm.70017

Sima, I., Cristea, D.-M., & Iantovics, L. B.

"ACGA: A Novel Biomimetic Hybrid Optimisation Algorithm based on a HP Protein Visualizer: An Interpretable Web-Based Tool for 3D Protein Folding based on the Hydrophobic-Polar Model."

Preprints.org, June 2025. https://doi.org/10.20944/preprints202507.0132.v1

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Moisi, F., Iantovics, L. B., Calin, G., & Biro, A.

"YNet: A Novel Implicit Surface-based Lung Tumor Segmentation Method that Surpasses nnUNet and Hybrid CNN-Transformer."

IEEE Access, Under review, 2025.

Cristea, D.-M., Sima, I., & Iantovics, L. B.

"Comparative Analysis of Optimized Logistic Regression with State-of-the-Art Models for Complex Gastroenterological Image Analysis."

Frontiers in Medicine, Section Gastroenterology, 2025. https://doi.org/10.3389/fmed.2025.1655612

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Muraru, M. M., Simo, Z., & Iantovics, L. B.

"Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods."

Applied Sciences 14, no. 22: 10085., 2024.

Simo, Z., Muraru, M. M., & Iantovics, L. B.

"Impact of k-Nearest Neighbors Parameter Tuning on Healthcare Prediction Accuracy Across Diverse Datasets"

Proceedings of the 18th International Conference on Interdisciplinarity in Engineering, 2024.

Muraru, M. M., Simo, Z., & Iantovics, L. B.

"Machine Learning Algorithms for CO2 Emissions Forecasting in Fleet Management Optimization."

Proceedings of the 18th International Conference on Interdisciplinarity in Engineering, 2024.

Cucos, A. M., & Iantovics, L. B.

"Comparative Study of Random Forest, Gradient Boosted Trees, Feedforward Neural Networks and Convolutional Neural Networks Using Fingerprints and Molecular Descriptors for Adverse Drug Reaction Prediction"

28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024), 2024.

Antal, L. M., & Iantovics, L. B.

"Advanced Data Analysis for Machine Learning-powered Recommender Systems"

28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2024), 2024.

Cristea, D. M., Sima, I. , & Iantovics, L. B.

"How Good Perform Logistic Regression Algorithm for Complex Gastroenterological Image Analysis. Comparative Analysis with Physicians Performace"

Preprint, 2024.

Cristea, D. M.

"Hybrid Combinatorial Problems Used For Multimodal Optimisation"

IEEE 24th International Conference on Bioinformatics and Bioengineering, 2024.

Gheorghita, F.-I.

"Supervised Learning Paradigms in Pharmaceutical Sciences: A Review on Drug-Drug Interaction and Drug Design"

UMFST Days Conference, 2023.

Simo, Z., Iantovics, L. B & Tokody, D.

"Fejlett ágens alapú behatolásérzékelő rendszerek."

Production Systems and Information Engineering, 2023.

Gheorghita, F.-I.

"Review on Intelligent Clinical Decision Support System in Drug Therapy"

UMFST Days Conference, 2021.