Standardization of Unstructured Textual Data into Semantic Web Format. - K. A. Abdul Nazeer; P. P. Abdul Haleem (IICAI, 2005)

Supporting Direction Relations in Spatio-Temporal Databases. - Bibi Annie Oommen; K. A. Abdul Nazeer (ICDIM, 2006)

A nature-inspired hybrid Fuzzy C-means algorithm for better clustering of biological data sets. - T. A. Arunanand; K. A. Abdul Nazeer; Mathew J. Palakal; Meeta Pradhan (ICDSE, 2014)

An improved ICPACA based K-means algorithm with self determined centroids. - Christina Jacob; K. A. Abdul Nazeer (ICDSE, 2014)

A computational method for drug repositioning using publicly available gene expression data. - K. M. Shabana 002; K. A. Abdul Nazeer; Meeta Pradhan; Mathew Palakal (BMC Bioinform., 2015)

Identifying epigenetically dysregulated pathways from pathway-pathway interaction networks. - R. Visakh; K. A. Abdul Nazeer (Comput. Biol. Medicine, 2016)

An enhanced deterministic K-Means clustering algorithm for cancer subtype prediction from gene expression data. - N. Nidheesh; K. A. Abdul Nazeer; P. M. Ameer (Comput. Biol. Medicine, 2017)

DEEPAligner: Deep encoding of pathways to align epigenetic signatures. - R. Visakh; K. A. Abdul Nazeer (Comput. Biol. Chem., 2018)

Content based medical image retrieval using topic and location model. - P. Shamna; V. K. Govindan; K. A. Abdul Nazeer (J. Biomed. Informatics, 2019)

An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies. - Jeena Kleenankandy; K. A. Abdul Nazeer (CoRR, 2020)

An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies. - Jeena Kleenankandy; K. A. Abdul Nazeer (Inf. Process. Manag., 2020)

A Hierarchical Clustering algorithm based on Silhouette Index for cancer subtype discovery from genomic data. - N. Nidheesh; K. A. Abdul Nazeer; P. M. Ameer (Neural Comput. Appl., 2020)

Recognizing semantic relation in sentence pairs using Tree-RNNs and Typed dependencies. - Jeena Kleenankandy; K. A. Abdul Nazeer (CIST, 2021)

Using Protein Interactome Similarity to Improve Random Walk with Restart Model for Drug Repurposing. - I. T. Anjusha; N. Saleena; K. A. Abdul Nazeer (ICMC, 2021)

Content-based medical image retrieval by spatial matching of visual words. - P. Shamna; V. K. Govindan; K. A. Abdul Nazeer (J. King Saud Univ. Comput. Inf. Sci., 2022)

MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning. - Lekshmy P. Chandran; K. A. Abdul Nazeer; Niyas Puzhakkal; Dinesh Makuny (Biomed. Signal Process. Control., 2023)

A 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning. - Lekshmy P. Chandran; Abdul Nazeer Kochannan Parampil Abdul Rahiman; Niyas Puzhakkal; Dinesh Makuni (Int. J. Imaging Syst. Technol., 2024)

Integration of autoencoder and graph convolutional network for predicting breast cancer drug response. - V. Abinas; U. Abhinav; E. M. Haneem; A. Vishnusankar; K. A. Abdul Nazeer (J. Bioinform. Comput. Biol., 2024)

Context-aware automated ICD coding: A semantic-driven approach. - O. K. Reshma; N. Saleena; K. A. Abdul Nazeer (Inf. Syst., 2025)

Drug repurposing for non-small cell lung cancer by predicting drug response using pathway-level graph convolutional network. - I. T. Anjusha; K. A. Abdul Nazeer; N. Saleena (J. Bioinform. Comput. Biol., 2025)

An Efficient Document Clustering Approach for Devising Semantic Clusters. - E. K. Jasila; Saleena Nabeezath; K. A. Abdul Nazeer (Cybern. Syst., 2025)