Ghosh, A., Das, D. and Ekbal, A., CauFR-TS: Causal Time-Series Identifiability via Factorized Representations. Transactions on Machine Learning Research, 2026. [OpenReview] [Code]
Ghosh, H., Ghosh, A., Das, D. and Bagchi, S., 2026. EPUV: A lightweight protocol for enhancing security and performance in UAV-assisted IoV systems. Pervasive and Mobile Computing, p.102206. [Publication link]
Ghosh, A., Jain, R., Parida, S., Das, D. (2025). TS-NUC : Nearest Unlike Cluster-Guided Generative Counterfactual Estimation for Time Series Classification. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. ICPR 2024. Lecture Notes in Computer Science, vol 15326. Springer, Cham. https://doi.org/10.1007/978-3-031-78395-1_26 [Publication link] [Code]
A. Ghosh, "Towards Full-page Offline Bangla Handwritten Text Recognition using Image-to-Sequence Architecture," 2023 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2023, pp. 1-6, doi: 10.1109/SILCON59133.2023.10404241. [Publication link] [Code] [Dataset]
A. Ghosh, "Sentiment Analysis of IMDb Movie Reviews : A comparative study on Performance of Hyperparameter-tuned Classification Algorithms", 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), 2022, pp. 289-294, doi: 10.1109/ICACCS54159.2022.9784961. [Publication link] [Code]
Ghosh A., Das T., Majumder S., Roy A. (2020) Authentication of User in Connected Governance Model. In: Batra U., Roy N., Panda B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6 10 [Publication link]
⚠️Under edit⚠️
Scene Reconstruction for Edge using Metadata
Worked on this as an Intern at Siemens RDA.
Performing Real-time Object detection and Pose estimation from video footage using pre-trained YOLO-v3 and MediaPipe models respectively.
Reconstructing or estimating the video feed at the Server end (Remote) using the extracted metadata.
Areas & Tech involved - Deep Learning (Applied), Computer Vision, OpenCV, Python 3, Onvif
Click here for details
Detection of Parkinson's disease from offline hand drawn Archimedean spiral
Worked on this during Summer School at ISI Kolkata in 2019
Developed a Deep learning image classication model using Keras to predict if a person is having Parkinson's disease or not
Dataset contained Hand-drawn Archimedean spirals drawn by different persons having or not having Parkinson's Disease
Areas & Tech involved - Deep Learning, Keras, CNN, Python 3
Several other ML/DL projects are available on my GitHub Repository.