Four published papers in applied machine learning. Each opens a page with the method, the results and my part in it.
IEEE INDISCON 2025 · Conference paper · IEEE
A deep learning approach to ADHD detection from preprocessed EEG signals, evaluating six joint CNN, LSTM, and GRU architectures for accurate, data-driven diagnosis.
ICPR 2024 · Conference paper · Springer Nature
A deep learning system for smartphone-based human activity recognition using accelerometer and gyroscope data, comparing a Full Transformer model with a proposed Joint Learning fusion architecture.
ICNGCIS 2023 · Book chapter · Taylor & Francis
A transfer learning study for early Down Syndrome screening from facial images using multiple pre-trained CNN architectures and targeted fine-tuning.
FLUTE 2023 · Conference paper · Springer Nature
A machine learning approach for predicting surface roughness in EDM-machined materials using process parameters instead of contact-based inspection.