Islam, S. M., Joardar, S., & Sekh*, A. A. (2024). A Survey on Fashion Image Retrieval. ACM Computing Surveys, 56(6), 1-25.

Joshy, K. X., Thakurta, R., & Sekh, A. A. (2023). Future educational environment–Identification of smart campus topic trends using text mining. International Journal of Educational Management, 37(4), 884-906.

Majumder, S., Kutum, R., Khatua, D., Sekh, A. A., Kar, S., Mukerji, M., & Prasher, B. On intelligent Prakriti assessment in Ayurveda: a comparative study. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-18.

Islam, S. M., Joardar, S., & Sekh, A. A. (2023). Ornament image retrieval using few-shot learning. International Journal of Multimedia Information Retrieval, 12(2), 30.

Khatua, D., De, A., Kar, S., Samanta, E., Sekh, A. A., & Guha Adhya, D. (2023). Fuzzy Dynamic Optimal Model for COVID-19 Epidemic in India Based on Granular Differentiability. Journal of Shanghai Jiaotong University (Science), 1-16.

Chakarborty, A., Joardar, S., & Sekh, A. A. (2023). Ensemble Classifier for Hindi Hostile Content Detection", which you submitted to the Transactions on Asian and Low-Resource Language Information Processing.

Khatua, D., Sekh, A. A., Kutum, R., Mukherji, M., Prasher, B., & Kar, S. (2023). Classification of Ayurveda constitution types: a deep learning approach. Soft Computing, 1-9.

Das, B., Pal, R., Majumder, M., Phadikar, S., & Sekh, A. A. (2023). A Visual Attention-Based Model for Bengali Image Captioning. SN Computer Science, 4(2), 208.

Soni, K., Dogra, D. P., Sekh, A. A., Kar, S., Choi, H., & Kim, I. J. (2022). Person re-identification in indoor videos by information fusion using Graph Convolutional Networks. Expert Systems with Applications, 210, 118363.

Singh, H., Ahmed, A. S., Melandsø, F., & Habib, A. (2023). Ultrasonic image denoising using machine learning in point contact excitation and detection method. Ultrasonics, 127, 106834.

Islam, S. M., Joardar, S., & Sekh, A. A. (2022). DSSN: dual shallow Siamese network for fashion image retrieval. Multimedia Tools and Applications, 1-17.

Somani, A., Sekh, A. A., Opstad, I. S., Birgisdottir, Å. B., Myrmel, T., Ahluwalia, B. S., ... & Prasad, D. K. (2022). Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning. Biomedical Optics Express, 13(10), 5495-5516.

Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021). Automatic question generation and answer assessment: a survey. Research and Practice in Technology Enhanced Learning, 16(1), 1-15.

Das, B., Majumder, M., Phadikar, S., & Sekh, A. A. (2021). Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment. Multimedia Tools and Applications, 80(21-23), 31907-31925.

Pal, R., Sekh, A. A., Dogra, D. P., Kar, S., Roy, P. P., & Prasad, D. K. (2021). Topic-based video analysis: A survey. ACM Computing Surveys (CSUR), 54(6), 1-34.

Das B, 2021, Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment, Springier Nature

Samonto, S., Kar, S., Pal, S., Atan, O., & Sekh, A. A. (2021). Fuzzy logic controller aided expert relaying mechanism system. Journal of the Franklin Institute, 358(15), 7447-7467.

Sekh, A. A., Opstad, I. S., Godtliebsen, G., Birgisdottir, Å. B., Ahluwalia, B. S., Agarwal, K., & Prasad, D. K. (2021). Physics-based machine learning for subcellular segmentation in living cells. Nature Machine Intelligence, 3(12), 1071-1080.

Huan, J. L., Sekh, A. A., Quek, C., & Prasad, D. K. (2022). Emotionally charged text classification with deep learning and sentiment semantic. Neural Computing and Applications, 1-11.

Chakraborty, A., Joardar, S., & Ahmed Sekh, A. (2023, March). Bsvm: A bert-based support vector machine for hindi hostile content detection. In International Conference on Communication, Devices and Computing (pp. 57-68). Singapore: Springer Nature Singapore.

Chakraborty, A., Joardar, S., & Sekh, A. A. (2023, November). Comparative Analysis of Different BERT-Based Machine Learning Models for Hostile Hindi Content Detection. In 2023 IEEE 3rd Applied Signal Processing Conference (ASPCON) (pp. 109-113). IEEE.

Pal, R., Kar, S., & Sekh, A. A. (2023, February). What and Why? Interpretability in Colon Cancer Detection. In Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 1 (pp. 771-780). Singapore: Springer Nature Singapore.

Choudhary, H., Dogra, D. P., & Sekh, A. A. (2022, November). Solving Diagrammatic Reasoning Problems Using Deep Learning. In International Conference on Computer Vision and Image Processing (pp. 377-387). Cham: Springer Nature Switzerland.

Pal, R., Kar, S., & Sekh, A. A. (2023, February). What and Why? Interpretability in Colon Cancer Detection. In Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 1 (pp. 771-780). Singapore: Springer Nature Singapore.

Islam, S. M., Joardar, S., & Sekh, A. A. (2023, January). NecklaceFIR: A Large Volume Benchmarked Necklace Dataset for Fashion Image Retrieval. In Artificial Intelligence: First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers (pp. 180-190). Cham: Springer Nature Switzerland.

Das, S., Mondal, P., Quraishi, M. I., Kar, S., & Sekh, A. A. (2023, January). Freshness Quality Detection of Tomatoes Using Computer Vision. In Artificial Intelligence: First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers (pp. 243-255). Cham: Springer Nature Switzerland.

Patra, D., Jana, B., Mandal, S., & Sekh, A. A. (2023, January). Understanding Fake News Detection on Social Media: A Survey on Methodologies and Datasets. In Artificial Intelligence: First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers (pp. 226-242). Cham: Springer Nature Switzerland.

Richa, M. D., Ahmed, S. A., Dogra, D. P., & Dan, P. K. (2022, July). Patch Level Segmentation and Visualization of Capsule Network Inference for Breast Metastases Detection. In 2022 IEEE International Conference on Signal Processing and Communications (SPCOM) (pp. 1-5). IEEE.

Arif Ahmed Sk, Turki Turki, Tarun Kumar Ghosh, Subhankar Joardar, Subhabrata Barman, Artificial Intelligence First International Symposium, ISAI 2022, Haldia, India, February 17-22, 2022, Revised Selected Papers, Springer

Castillo, O., Jana, D. K., Giri, D., & Ahmed, A. (Eds.). (2020). Recent Advances in Intelligent Information Systems and Applied Mathematics.

Mandal, Sourav, Arif Ahmed Sekh, and Sudip Kumar Naskar. "Identification of Relevant Quantities in Arithmetic Word Problems Using Siamese Neural Network." Proceedings of the Seventh International Conference on Mathematics and Computing. Springer, Singapore, 2022.

Das, B., Sekh, A. A., Majumder, M., & Phadikar, S. (2022, February). ABID: Attention-Based Bengali Image Description. In Proceedings of the 3rd International Conference on Communication, Devices and Computing: ICCDC 2021 (pp. 305-314). Singapore: Springer Singapore.