Unsupervised learning based mining of academic data sets for students' performance analysis. - Liana Maria Crivei; Gabriela Czibula; George Ciubotariu; Mariana Dindelegan (SACI, 2020)

Enhancing the Performance of Image Classification Through Features Automatically Learned from Depth-Maps. - George Ciubotariu; Vlad-Ioan Tomescu; Gabriela Czibula (ICVS, 2021)

MBMT-Net: A Multi-Task Learning Based Convolutional Neural Network Architecture for Dense Prediction Tasks. - George Ciubotariu; Gabriela Czibula (IEEE Access, 2022)

IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining. - Gabriela Czibula; George Ciubotariu; Mariana-Ioana Maier; Hannelore Lisei (IEEE Access, 2022)

Uncovering Behavioural Patterns of One: And Binary-Class SVM-Based Software Defect Predictors. - George Ciubotariu; Gabriela Czibula; István Gergely Czibula; Ioana-Gabriela Chelaru (ICSOFT, 2023)

MIPI 2024 Challenge on Nighttime Flare Removal: Methods and Results. - Yuekun Dai; Dafeng Zhang; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Peiqing Yang 001; Zhezhu Jin; Guanqun Liu 005; Chen Change Loy; Lize Zhang; et al. (CoRR, 2024)

Efficient End-to-End Convolutional Architecture for Point-of-Gaze Estimation. - Casian Miron; George Ciubotariu; Alexandru Pasarica; Radu Timofte (J. Imaging, 2024)