Mihai Budurean

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Lung Cancer dataset analysis in R with exploratory data analysis, visualization, and classification using machine learning models.

Fraud detection using KNN, Logistic Regression, and Decision Trees with cross-validation and clear performance metrics.

Sobel Edge Detection for images implemented with sequential, OpenMP, and MPI approaches to showcase parallel computing performance.

Visual search for landmark identification using CNN embeddings and metric learning (contrastive/triplet loss).

A hand-tracking virtual painter using OpenCV and Mediapipe. Draw with your fingers in real time through your webcam.

Comparative study of Network-in-Network (NiN) and GoogLeNet-style multi-branch networks on Sign-MNIST and MNIST transfer learning.

Gender classification and facial landmark detection on celebrity faces using single-task and multi-task CNNs, with improvements via Wing Loss and OneCycle scheduling.