Our Conference Contributions

Cucoș, Ana-Maria

"Impact of Molecular Fingerprints and Descriptors on Adverse Drug Reactions Prediction Using Support Vector Machine, Logistic Regression and Adaptive Boosting"

Cristea, Daniela-Maria

"Evaluating Classical and Generative Augmentation for Cross-Dataset Generalisation of PraNet in Colorectal Polyp Segmentation"

Muraru, Mădălina-Maria

"Evaluating Reasoning Capabilities in Small and Medium-Scale Language Models"

Moldovan, Sorin-Claudiu

"Overcoming the Limitations of Classical Outlier Detection with a Composite, Representation-Learning Framework"

Simó, Zsuzsa

"Interpretable Machine Learning for Imbalanced Medical Datasets Using Adaptive Kernel Techniques"

Ferenc, Moisi

"A Hybrid Deep Learning Architecture for Efficient and Accurate Medical Image Segmentation"

Cristea, D., Sima, I., Iantovics, L. B., & Sinitin, V.

"PraNet-based Gastrointestinal Polyp Segmentation on Heterogeneous Datasets: Study of Augmentation Impact on Performance"

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

"Machine Learning-based Adverse Drug Reaction Prediction: Model Comparisons, Feature Optimization and Generative AI Challenges"

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

"Graph–Vector Hybrid Model for Predicting Synergistic Drug-Drug Interactions Toward Clinical Decision Support Integration."

Muraru, M.-M., Evstafev, E., & Iantovics, L. B.

"Study of Small and Medium-Scale Open-Source Language Models in Human-like Logic and Comprehension Tasks"

Moisi, F., & Iantovics, L. B.

"Review of Deep Learning Methods for Lung Tumor Segmentation from Computed Tomography Images"

Moisi, F., Simo, Z., & Iantovics, L. B.

"Black-Box Models in AI: High Accuracy, Low Trust"

Ullah, N., Bustamam, A., Sarwinda, D., & Al Josan, G.

"Glaucoma Detection from Fundus Images Using InceptionV3: A Comprehensive Study Across Multiple Datasets"

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

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

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

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

Ramzan, M., Bustaman, A., Sarwinda, D., & Ullah, N.

"DenseNet-121 with Dual Attention for ARMD Classification from Fundus Images"

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"

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

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

Gheorghita, F.-I., Pop, D.-O., & Iantovics, L. B.

"Molecular Feature-Based Prediction of Drug-Drug Interactions Using Graph Neural Networks"

Cristea, D. M.

"Hybrid Combinatorial Problems Used For Multimodal Optimisation"