V. Susheela Devi

Orcid: 0000-0003-1001-7714

According to our database1, V. Susheela Devi authored at least 49 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model.
Expert Syst. J. Knowl. Eng., March, 2024

2023
The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift Through Competition, Local Search, and Majority Voting.
IEEE Trans. Evol. Comput., December, 2023

A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images.
Comput. Electr. Eng., August, 2023

Analysis of fuzzy based intelligent health care application system for the diagnosis of mental health in women with ovarian cancer using computational models.
Intell. Decis. Technol., 2023

Adversarially Robust Neural Legal Judgement Systems.
CoRR, 2023

Towards Robustness of Few-Shot Text Classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2023

Explainable Offensive Language Classifier.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Fuzzy-soft set approach for ranking the functional requirements of software.
Expert Syst. Appl., 2022

SumBART - An Improved BART Model for Abstractive Text Summarization.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Extractive Question Answering Using Transformer-Based LM.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs.
CoRR, 2021

Detection of Malicious Binaries by Deep Learning Methods.
Proceedings of the 6th International Conference on Internet of Things, 2021

Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts.
Proceedings of the 6th International Conference on Internet of Things, 2021

Estimation of von mises-fisher distribution algorithm, with application to support vector classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
Prototype Selection and Dimensionality Reduction on Multi-Label Data.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Improved Knowledge Base Question Answering System Using Re-ranking Approach.
Aust. J. Intell. Inf. Process. Syst., 2019

Deep Transfer Learning for Emotion Recognition from Text.
Aust. J. Intell. Inf. Process. Syst., 2019

Community Based Node Embeddings for Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Parallelization of Multi-label classification for large data sets.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Neural Machine Translation with Recurrent Highway Networks.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Parallel MCNN (pMCNN) with Application to Prototype Selection on Large and Streaming Data.
J. Artif. Intell. Soft Comput. Res., 2017

Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Feature Reduction for Multi Label Classification of Discrete Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2015
Overlapping Community Detection in Social Network Using Disjoint Community Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Classification Using Probabilistic Random Forest.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Autoregressive Model for Users' Retweeting Profiles.
Proceedings of the Social Informatics - 7th International Conference, 2015

Classification Using Rough Random Forest.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Class Specific Feature Selection Using Simulated Annealing.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 19th Asia Pacific Symposium, 2015

Prototype Selection on Large and Streaming Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Introduction to Pattern Recognition and Machine Learning
IISc Lecture Notes Series 5, WorldScientific, ISBN: 9789814656276, 2015

2014
Novelty detection applied to the classification problem using Probabilistic Neural Network.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Weighted feature-based classification of time series data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
A Peer-to-Peer Single Objective Particle Swarm Optimizer.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

A Peer-to-Peer Particle Swarm Optimizer for Multi-objective Functions.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

A Peer-to-Peer Dynamic Single Objective Particle Swarm Optimizer.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

A Peer-to-Peer Dynamic Multi-objective Particle Swarm Optimizer.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2013

Fuzzy classification of time series data.
Proceedings of the FUZZ-IEEE 2013, 2013

Multi label classification of discrete data.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Modified Particle Swarm Optimization for Pattern Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Feature Weighting for Clustering by Particle Swarm Optimization.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

A Peer-Peer Particle Swarm Optimizer.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

2011
Pattern Recognition - An Algorithmic Approach.
Undergraduate Topics in Computer Science, Springer, ISBN: 978-0-85729-495-1, 2011

Combination of similarity measures for time series classification using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2002
An incremental prototype set building technique.
Pattern Recognit., 2002


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