An incremental prototype set building technique. - V. Susheela Devi; M. Narasimha Murty (Pattern Recognit., 2002)

Combination of similarity measures for time series classification using genetic algorithms. - Deepti Dohare; V. Susheela Devi (IEEE Congress on Evolutionary Computation, 2011)

Pattern Recognition - An Algorithmic Approach. - M. Narasimha Murty; V. Susheela Devi (Springer, 2011)

A Peer-Peer Particle Swarm Optimizer. - Hrishikesh Dewan; V. Susheela Devi (ICGEC, 2012)

Feature Weighting for Clustering by Particle Swarm Optimization. - K. P. Swetha; V. Susheela Devi (ICGEC, 2012)

Modified Particle Swarm Optimization for Pattern Clustering. - K. P. Swetha; V. Susheela Devi (ICONIP (3), 2012)

Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization. - K. P. Swetha; V. Susheela Devi (ICONIP (1), 2012)

Multi label classification of discrete data. - Bhupesh Akhand; V. Susheela Devi (FUZZ-IEEE, 2013)

Fuzzy classification of time series data. - Penugonda Ravikumar; V. Susheela Devi (FUZZ-IEEE, 2013)

A Peer-to-Peer Dynamic Multi-objective Particle Swarm Optimizer. - Hrishikesh Dewan; Raksha B. Nayak; V. Susheela Devi (MIKE, 2013)

A Peer-to-Peer Dynamic Single Objective Particle Swarm Optimizer. - Hrishikesh Dewan; Raksha B. Nayak; V. Susheela Devi (SEMCCO (1), 2013)

A Peer-to-Peer Particle Swarm Optimizer for Multi-objective Functions. - Hrishikesh Dewan; Raksha B. Nayak; V. Susheela Devi (SEMCCO (1), 2013)

A Peer-to-Peer Single Objective Particle Swarm Optimizer. - Hrishikesh Dewan; Raksha B. Nayak; V. Susheela Devi (SocProS (1), 2013)

Weighted feature-based classification of time series data. - Penugonda Ravikumar; V. Susheela Devi (CIDM, 2014)

Novelty detection applied to the classification problem using Probabilistic Neural Network. - Balvant Yadav; V. Susheela Devi (CIDM, 2014)

Introduction to Pattern Recognition and Machine Learning - M. Narasimha Murty; V. Susheela Devi (WorldScientific, 2015)

Prototype Selection on Large and Streaming Data. - Lakhpat Meena; V. Susheela Devi (ICONIP (1), 2015)

Proceedings in Adaptation, Learning and Optimization. - Soniya Rangnani; V. Susheela Devi (IES, 2015)

Class Specific Feature Selection Using Simulated Annealing. - V. Susheela Devi (MIKE, 2015)

Classification Using Rough Random Forest. - Rajhans Gondane; V. Susheela Devi (MIKE, 2015)

Autoregressive Model for Users' Retweeting Profiles. - Soniya Rangnani; V. Susheela Devi; M. Narasimha Murty (SocInfo, 2015)

Classification Using Probabilistic Random Forest. - Rajhans Gondane; V. Susheela Devi (SSCI, 2015)

Overlapping Community Detection in Social Network Using Disjoint Community Detection. - Jaswant Meena; V. Susheela Devi (SSCI, 2015)

Feature Reduction for Multi Label Classification of Discrete Data. - V. Susheela Devi; Bhupesh Akhand (MLDM, 2016)

Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. - T. K. Ansari; Rajath Kumar; Sonali Singh; Sriram Ganapathy; V. Susheela Devi (ASRU, 2017)

Parallel MCNN (pMCNN) with Application to Prototype Selection on Large and Streaming Data. - V. Susheela Devi; Lakhpat Meena (J. Artif. Intell. Soft Comput. Res., 2017)

Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP. - Ravi Shankar Devanapalli; V. Susheela Devi (ICONIP (3), 2018)

Neural Machine Translation with Recurrent Highway Networks. - Maulik Parmar; V. Susheela Devi (MIKE, 2018)

Parallelization of Multi-label classification for large data sets. - Shinjini Biswas; V. Susheela Devi (SSCI, 2018)

A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model. - Sharun S. Thazhackal; V. Susheela Devi (SSCI, 2018)

Community Based Node Embeddings for Networks. - P. Meghashyam; V. Susheela Devi (ICONIP (4), 2019)

Deep Transfer Learning for Emotion Recognition from Text. - Chaikesh Chouragade; V. Susheela Devi (Aust. J. Intell. Inf. Process. Syst., 2019)

Improved Knowledge Base Question Answering System Using Re-ranking Approach. - Anil Kumar Donthagani; V. Susheela Devi (Aust. J. Intell. Inf. Process. Syst., 2019)

Prototype Selection and Dimensionality Reduction on Multi-Label Data. - Hemavati; V. Susheela Devi; Seba Ann Kuruvilla; R. Aparna (COMAD/CODS, 2020)

A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data. - Penugonda Ravikumar; R. Uday Kiran; Narendra Babu Unnam; Yutaka Watanobe; Kazuo Goda; V. Susheela Devi; P. Krishna Reddy (FUZZ-IEEE, 2021)

Estimation of von mises-fisher distribution algorithm, with application to support vector classification. - Adetunji David Ajimakin; V. Susheela Devi (GECCO Companion, 2021)

Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts. - Anantha Rao Chukka; V. Susheela Devi (IoTBDS, 2021)

Detection of Malicious Binaries by Deep Learning Methods. - Anantha Rao Chukka; V. Susheela Devi (IoTBDS, 2021)

The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. - Govind Sharma 001; Swyam Prakash Singh; V. Susheela Devi; M. Narasimha Murty (CoRR, 2021)

Extractive Question Answering Using Transformer-Based LM. - Raj Jha; V. Susheela Devi (ICONIP (5), 2022)

SumBART - An Improved BART Model for Abstractive Text Summarization. - A. Vivek; V. Susheela Devi (ICONIP (4), 2022)

Fuzzy-soft set approach for ranking the functional requirements of software. - Mohd. Sadiq; V. Susheela Devi (Expert Syst. Appl., 2022)

Explainable Offensive Language Classifier. - Ayushi Kohli; V. Susheela Devi (ICONIP (8), 2023)

Towards Robustness of Few-Shot Text Classifiers. - Rohit Raj; V. Susheela Devi (IJCNN, 2023)

Adversarially Robust Neural Legal Judgement Systems. - Rohit Raj; V. Susheela Devi (CoRR, 2023)

Analysis of fuzzy based intelligent health care application system for the diagnosis of mental health in women with ovarian cancer using computational models. - Ashwini Kodipalli; V. Susheela Devi (Intell. Decis. Technol., 2023)

A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images. - Ashwini Kodipalli; V. Susheela Devi; Santosh K. Dasar; Taha Ismail (Comput. Electr. Eng., 2023)

The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift Through Competition, Local Search, and Majority Voting. - Adetunji David Ajimakin; V. Susheela Devi (IEEE Trans. Evol. Comput., 2023)

Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model. - Ashwini Kodipalli; V. Susheela Devi; Santosh K. Dasar (Expert Syst. J. Knowl. Eng., 2024)