Journals
Abinas V, Abhinav U, Haneem E M, Vishnusankar A, and Abdul Nazeer K A, "Integration of autoencoder and graph convolutional network for predicting breast cancer drug response", Journal of Bioinformatics and Computational Biology, World Scientific, 2024
Lekshmy P. Chandran, Abdul Nazeer K.A., Niyas Puzhakkal, Dinesh Makuny, "MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning", Biomedical Signal Processing and Control, Volume 85, 2023, 104940, ISSN 1746-8094 [Collaborative work with MVR Cancer Centre and Research Institute, Calicut]
Chandran LP, Kochannan Parampil Abdul Rahiman AN, Puzhakkal N, Makuni D. "A 3D U‐Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning", International Journal of Imaging Systems and Technology, 2023 [Collaborative work with MVR Cancer Centre and Research Institute, Calicut]
E K Jasila, N Saleena, K A Abdul Nazeer, "An Efficient Document Clustering Approach for Devising Semantic Clusters", Cybernetics and Systems, 2023
P. H. Nishamol, S. Bandyopadhyay and G. Gopakumar. "Computational Drug Repurposing Using Power Graph Analysis of Integrated Drug-Target-Disease Network", IEEE Access, vol. 11, pp. 145295-145307, 2023
Sunny, S., Prakash, P.B., Gopakumar, G. et al., "DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network", Protein J 42, 276–287, 2023
K, Athira and P V, Sunil Kumar and M, Manju and G, Gopakumar, "Detection of Stage-wise Biomarkers in Lung Adenocarcinoma Using Multiplex Analysis". Current Bioinformatics, Volume 18, 2023.
Kamakshi V, Krishnan NC. Explainable Image Classification: The Journey So Far and the Road Ahead. AI, vol. 4, pp. 620-651, 2023.
Conferences
K. K. Eldose, Ravina Agarwal, Pranav Dabhade, Raniya A. T. Fathima, Ameen K. P. Al, R. Sridharan, Kumar K. Ratna, G. Gopakumar, "Students' performance prediction using machine learning algorithms: a comparative study", Challenges and Opportunities in Industrial and Mechanical Engineering: A Progressive Research Outlook: Proceedings of the International Conference on Progressive Research in Industrial & Mechanical Engineering (PRIME), 2024
Vidhya Kamakshi and Narayanan C Krishnan, "SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics". In Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) (CODS-COMAD '24). Association for Computing Machinery, New York, NY, USA, 109–117, 2024.
P. Diwan, S. Toraskar, V. Venkitaraman, N. K. Boran, C. Chaudhary and V. Singh, "MIST: Many-ISA Scheduling Technique for Heterogeneous-ISA Architectures," 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID), Kolkata, India, pp. 348-353, 2024.
Chandramani Chaudhary, Nirmal Kumar Boran, N Sangeeth, Virendra Singh, "GNNDLD: Graph Neural Network with Directional Label Distribution", ICAART, pp. 165-176, 2024.
Aparna V, Hridika K. V., Pooja S. Nair, Lekshmy P. Chandran, Abdul Nazeer K. A., "Automating dose prediction in Radiation treatment planning using Self attention base generative adversarial network", 4th Congress on Intelligent Systems (CIS, 2023).
Sarbas, P. et al. "Development of Predictive Models for Order Delivery Risk in a Supply Chain: A Machine Learning Approach". Emerging Trends in Mechanical and Industrial Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore, 2024.
For the complete list of Publications, please visit the following links: