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2020 – today
- 2024
[j9]Ashwini Kodipalli
, V. Susheela Devi, Santosh K. Dasar:
Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model. Expert Syst. J. Knowl. Eng. 41(3) (2024)- 2023
- [j8]Ashwini Kodipalli, V. Susheela Devi, Santosh K. Dasar, Taha Ismail:
A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images. Comput. Electr. Eng. 109(Part B): 108758 (2023) - [j7]Ashwini Kodipalli, V. Susheela Devi:
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. 17(1): 31-42 (2023) - [j6]Adetunji David Ajimakin, V. Susheela Devi:
The Competing Genes Evolutionary Algorithm: Avoiding Genetic Drift Through Competition, Local Search, and Majority Voting. IEEE Trans. Evol. Comput. 27(6): 1678-1689 (2023) - [c36]Ayushi Kohli, V. Susheela Devi:
Explainable Offensive Language Classifier. ICONIP (8) 2023: 299-313 - [c35]Rohit Raj, V. Susheela Devi:
Towards Robustness of Few-Shot Text Classifiers. IJCNN 2023: 1-8 - [i3]Rohit Raj, V. Susheela Devi:
Adversarially Robust Neural Legal Judgement Systems. CoRR abs/2308.00165 (2023) - 2022
- [j5]Mohd. Sadiq, V. Susheela Devi:
Fuzzy-soft set approach for ranking the functional requirements of software. Expert Syst. Appl. 193: 116452 (2022) - [c34]A. Vivek, V. Susheela Devi:
SumBART - An Improved BART Model for Abstractive Text Summarization. ICONIP (4) 2022: 313-323 - [c33]Raj Jha, V. Susheela Devi:
Extractive Question Answering Using Transformer-Based LM. ICONIP (5) 2022: 373-384 - 2021
- [c32]Penugonda Ravikumar, R. Uday Kiran, Narendra Babu Unnam, Yutaka Watanobe, Kazuo Goda, V. Susheela Devi, P. Krishna Reddy:
A Novel Parameter-Free Energy Efficient Fuzzy Nearest Neighbor Classifier for Time Series Data. FUZZ-IEEE 2021: 1-6 - [c31]Adetunji David Ajimakin, V. Susheela Devi:
Estimation of von mises-fisher distribution algorithm, with application to support vector classification. GECCO Companion 2021: 199-200 - [c30]Anantha Rao Chukka, V. Susheela Devi:
Detection of Malicious Binaries by Applying Machine Learning Models on Static and Dynamic Artefacts. IoTBDS 2021: 29-37 - [c29]Anantha Rao Chukka, V. Susheela Devi:
Detection of Malicious Binaries by Deep Learning Methods. IoTBDS 2021: 132-139 - [i2]Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty:
The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. CoRR abs/2111.00243 (2021) - 2020
- [c28]Hemavati, V. Susheela Devi, Seba Ann Kuruvilla, R. Aparna:
Prototype Selection and Dimensionality Reduction on Multi-Label Data. COMAD/CODS 2020: 195-199
2010 – 2019
- 2019
- [j4]Chaikesh Chouragade, V. Susheela Devi:
Deep Transfer Learning for Emotion Recognition from Text. Aust. J. Intell. Inf. Process. Syst. 15(3): 67-75 (2019) - [j3]Anil Kumar Donthagani, V. Susheela Devi:
Improved Knowledge Base Question Answering System Using Re-ranking Approach. Aust. J. Intell. Inf. Process. Syst. 17(1): 32-38 (2019) - [c27]P. Meghashyam, V. Susheela Devi:
Community Based Node Embeddings for Networks. ICONIP (4) 2019: 380-387 - [i1]Maulik Parmar, V. Susheela Devi:
Neural Machine Translation with Recurrent Highway Networks. CoRR abs/1905.01996 (2019) - 2018
- [c26]Ravi Shankar Devanapalli, V. Susheela Devi:
Transfer Learning Using Progressive Neural Networks and NMT for Classification Tasks in NLP. ICONIP (3) 2018: 188-197 - [c25]Maulik Parmar, V. Susheela Devi:
Neural Machine Translation with Recurrent Highway Networks. MIKE 2018: 299-308 - [c24]Sharun S. Thazhackal, V. Susheela Devi:
A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model. SSCI 2018: 397-404 - [c23]Shinjini Biswas, V. Susheela Devi:
Parallelization of Multi-label classification for large data sets. SSCI 2018: 2005-2010 - 2017
- [j2]V. Susheela Devi, Lakhpat Meena:
Parallel MCNN (pMCNN) with Application to Prototype Selection on Large and Streaming Data. J. Artif. Intell. Soft Comput. Res. 7(3): 155 (2017) - [c22]T. K. Ansari, Rajath Kumar, Sonali Singh, Sriram Ganapathy, V. Susheela Devi:
Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. ASRU 2017: 762-768 - 2016
- [c21]V. Susheela Devi, Bhupesh Akhand:
Feature Reduction for Multi Label Classification of Discrete Data. MLDM 2016: 630-642 - 2015
- [b2]M. Narasimha Murty, V. Susheela Devi:
Introduction to Pattern Recognition and Machine Learning. IISc Lecture Notes Series 5, WorldScientific 2015, ISBN 9789814335454, pp. 1-404 - [c20]Lakhpat Meena, V. Susheela Devi:
Prototype Selection on Large and Streaming Data. ICONIP (1) 2015: 671-679 - [c19]Soniya Rangnani, V. Susheela Devi:
Proceedings in Adaptation, Learning and Optimization. IES 2015: 171-186 - [c18]V. Susheela Devi:
Class Specific Feature Selection Using Simulated Annealing. MIKE 2015: 12-21 - [c17]Rajhans Gondane, V. Susheela Devi:
Classification Using Rough Random Forest. MIKE 2015: 70-80 - [c16]Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty:
Autoregressive Model for Users' Retweeting Profiles. SocInfo 2015: 178-193 - [c15]Rajhans Gondane, V. Susheela Devi:
Classification Using Probabilistic Random Forest. SSCI 2015: 174-179 - [c14]Jaswant Meena, V. Susheela Devi:
Overlapping Community Detection in Social Network Using Disjoint Community Detection. SSCI 2015: 764-771 - 2014
- [c13]Penugonda Ravikumar, V. Susheela Devi:
Weighted feature-based classification of time series data. CIDM 2014: 222-228 - [c12]Balvant Yadav, V. Susheela Devi:
Novelty detection applied to the classification problem using Probabilistic Neural Network. CIDM 2014: 265-272 - 2013
- [c11]Bhupesh Akhand, V. Susheela Devi:
Multi label classification of discrete data. FUZZ-IEEE 2013: 1-5 - [c10]Penugonda Ravikumar, V. Susheela Devi:
Fuzzy classification of time series data. FUZZ-IEEE 2013: 1-6 - [c9]Hrishikesh Dewan, Raksha B. Nayak, V. Susheela Devi:
A Peer-to-Peer Dynamic Multi-objective Particle Swarm Optimizer. MIKE 2013: 453-465 - [c8]Hrishikesh Dewan, Raksha B. Nayak, V. Susheela Devi:
A Peer-to-Peer Dynamic Single Objective Particle Swarm Optimizer. SEMCCO (1) 2013: 630-641 - [c7]Hrishikesh Dewan, Raksha B. Nayak, V. Susheela Devi:
A Peer-to-Peer Particle Swarm Optimizer for Multi-objective Functions. SEMCCO (1) 2013: 725-737 - [c6]Hrishikesh Dewan, Raksha B. Nayak, V. Susheela Devi:
A Peer-to-Peer Single Objective Particle Swarm Optimizer. SocProS (1) 2013: 689-708 - 2012
- [c5]Hrishikesh Dewan, V. Susheela Devi:
A Peer-Peer Particle Swarm Optimizer. ICGEC 2012: 140-144 - [c4]K. P. Swetha, V. Susheela Devi:
Feature Weighting for Clustering by Particle Swarm Optimization. ICGEC 2012: 441-444 - [c3]K. P. Swetha, V. Susheela Devi:
Modified Particle Swarm Optimization for Pattern Clustering. ICONIP (3) 2012: 496-503 - [c2]K. P. Swetha, V. Susheela Devi:
Simultaneous Feature Selection and Clustering Using Particle Swarm Optimization. ICONIP (1) 2012: 509-515 - 2011
- [b1]M. Narasimha Murty, V. Susheela Devi:
Pattern Recognition - An Algorithmic Approach. Undergraduate Topics in Computer Science, Springer 2011, ISBN 978-0-85729-494-4, pp. I-XI, 1-263 - [c1]Deepti Dohare, V. Susheela Devi:
Combination of similarity measures for time series classification using genetic algorithms. IEEE Congress on Evolutionary Computation 2011: 401-408
2000 – 2009
- 2002
- [j1]V. Susheela Devi, M. Narasimha Murty:
An incremental prototype set building technique. Pattern Recognit. 35(2): 505-513 (2002)
Coauthor Index
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