Sushmita Mitra

Orcid: 0000-0001-9285-1117

According to our database1, Sushmita Mitra authored at least 119 papers between 1990 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to neuro-fuzzy and hybrid approaches in pattern recognition".

Timeline

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Bibliography

2024
Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges.
IEEE Trans. Fuzzy Syst., October, 2024

Collective intelligent strategy for improved segmentation of COVID-19 from CT.
Expert Syst. Appl., January, 2024

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
CoRR, 2024

2023
Mixed Attention with Deep Supervision for Delineation of COVID Infection in Lung CT.
CoRR, 2023

Full-Scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Large Minded Reasoners for Soft and Hard Cluster Validation - Some Directions.
Proceedings of the Position Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023

Efficient Global-Context driven Volumetric Segmentation of Abdominal Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Deep learning in histopathology: A review.
WIREs Data Mining Knowl. Discov., 2022

Granular Generalized Variable Precision Rough Sets and Rational Approximations.
CoRR, 2022

2021
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction.
CoRR, 2021

Segmentation in Diabetic Retinopathy using Deeply-Supervised Multiscalar Attention.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
FuzzyCIE: fuzzy colour image enhancement for low-exposure images.
Soft Comput., 2020

Fuzzy volumetric delineation of brain tumor and survival prediction.
Soft Comput., 2020

Glioma Classification Using Deep Radiomics.
SN Comput. Sci., 2020

A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI.
Intell. Data Anal., 2020

Preface.
Fundam. Informaticae, 2020

Novel Volumetric Sub-region Segmentation in Brain Tumors.
Frontiers Comput. Neurosci., 2020

Iris Segmentation Using Interactive Deep Learning.
IEEE Access, 2020

Deep Learning for Screening COVID-19 using Chest X-Ray Images.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Optimal Convolutional Neural Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
Blind Entity Identification for Agricultural IoT Deployments.
IEEE Internet Things J., 2019

Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI.
CoRR, 2019

Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Soft computing and intelligent systems: Techniques and applications.
J. Intell. Fuzzy Syst., 2018

Automated 3D segmentation of brain tumor using visual saliency.
Inf. Sci., 2018

A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks.
CoRR, 2018

Preface special issue on non-iterative approaches in learning.
Appl. Soft Comput., 2018

Iris localization using rough entropy and CSA: A soft computing approach.
Appl. Soft Comput., 2018

Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Predictive Intra-Edge Packet-Source Mapping in Agricultural Internet of Things.
Proceedings of the IEEE Globecom Workshops, 2018

2017
Feature Selection Through Message Passing.
IEEE Trans. Cybern., 2017

Synergetic neuro-fuzzy feature selection and classification of brain tumors.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores.
J. Artif. Intell. Soft Comput. Res., 2016

Single seed delineation of brain tumor using multi-thresholding.
Inf. Sci., 2016

ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

2015
Medical image analysis for cancer management in natural computing framework.
Inf. Sci., 2015

Multi-objective optimization of shared nearest neighbor similarity for feature selection.
Appl. Soft Comput., 2015

2014
Integrating Radio Imaging With Gene Expressions Toward a Personalized Management of Cancer.
IEEE Trans. Hum. Mach. Syst., 2014

Fuzzy clustering with biological knowledge for gene selection.
Appl. Soft Comput., 2014

2013
Clustering large data with uncertainty.
Appl. Soft Comput., 2013

A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Fuzzy texture descriptors for early diagnosis of osteoarthritis.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Feature Selection and Clustering of Gene Expression Profiles Using Biological Knowledge.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Feature selection using structural similarity.
Inf. Sci., 2012

Aggregation of Correlation Measures for the Reverse Engineering of Gene Regulatory Sub-networks.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Gene selection using biological knowledge and fuzzy clustering.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Genetic Networks and Soft Computing.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Satellite image segmentation with Shadowed C-Means.
Inf. Sci., 2011

Recognizing Hand Gestures of a Dancer.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
Evolutionary-Rough Feature Selection for Face Recognition.
Trans. Rough Sets, 2010

Shadowed c-means: Integrating fuzzy and rough clustering.
Pattern Recognit., 2010

2009
Gene Interactions Sub-networks and Soft Computing.
Proceedings of the Human-Centric Information Processing Through Granular Modelling, 2009

Gene interaction - An evolutionary biclustering approach.
Inf. Fusion, 2009

Natural computing methods in bioinformatics: A survey.
Inf. Fusion, 2009

Natural Computing Methods in Bioinformatics.
Inf. Fusion, 2009

Multi-objective Evolutionary Feature Selection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Incorporating Fuzziness to CLARANS.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Cross-Correlation and Evolutionary Biclustering: Extracting Gene Interaction Sub-networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2008
Rough-Fuzzy Clustering: An Application to Medical Imagery.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Shadowed Clustering for Speech Data and Medical Image Segmentation.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

2007
Gesture Recognition: A Survey.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Evolutionary Rough Feature Selection in Gene Expression Data.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Application of Rough Sets in Pattern Recognition.
Trans. Rough Sets, 2007

Evolutionary Fuzzy Biclustering of Gene Expression Data.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Evolutionary Biclustering with Correlation for Gene Interaction Networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

2006
Feature Selection Using Rough Sets.
Proceedings of the Multi-Objective Machine Learning, 2006

Evolutionary biclustering of gene expressions.
Ubiquity, 2006

Bioinformatics with soft computing.
IEEE Trans. Syst. Man Cybern. Syst., 2006

Rough-Fuzzy Collaborative Clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Special Issue on Bioinformatics.
Pattern Recognit., 2006

Multi-objective evolutionary biclustering of gene expression data.
Pattern Recognit., 2006

Feature extraction and connectionist classification of SODAR echograms.
IEEE Geosci. Remote. Sens. Lett., 2006

<i>Data Mining: Multimedia, Soft Computing, and Bioinformatics</i>.
J. Electronic Imaging, 2006

A MOE framework for Biclustering of Microarray Data.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis.
Proceedings of the Computational Methods in Systems Biology, International Conference, 2006

2005
Computational Intelligence in Bioinformatics.
Trans. Rough Sets, 2005

Hidden Markov Models, Grammars, and Biology: a Tutorial.
J. Bioinform. Comput. Biol., 2005

Fuzzy sets in pattern recognition and machine intelligence.
Fuzzy Sets Syst., 2005

Symbolic classification, clustering and fuzzy radial basis function network.
Fuzzy Sets Syst., 2005

Collaborative Rough Clustering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

2004
An evolutionary rough partitive clustering.
Pattern Recognit. Lett., 2004

Fuzzy radial basis function network: a parallel design.
Neural Comput. Appl., 2004

A connectionist approach to SODAR pattern classification.
IEEE Geosci. Remote. Sens. Lett., 2004

Special Issue on Web mining using soft computing.
Fuzzy Sets Syst., 2004

Web mining: a survey in the fuzzy framework.
Fuzzy Sets Syst., 2004

2003
Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation.
IEEE Trans. Knowl. Data Eng., 2003

Clustering and its validation in a symbolic framework.
Pattern Recognit. Lett., 2003

Data mining - multimedia, soft computing, and bioinformatics.
Wiley, ISBN: 978-0-471-46054-1, 2003

2002
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: generation and evaluation.
IEEE Trans. Syst. Man Cybern. Part C, 2002

Data mining in soft computing framework: a survey.
IEEE Trans. Neural Networks, 2002

Clustering of Symbolic Data and Its Validation.
Proceedings of the Advances in Soft Computing, 2002

2001
Incorporation of Fuzziness in ID3 and Generation of Network Architerture.
Neural Comput. Appl., 2001

Evolutionary Modular MLP with Rough Sets and ID3 Algorithm for Staging of Cervical Cancer.
Neural Comput. Appl., 2001

FRBF: A Fuzzy Radial Basis Function Network.
Neural Comput. Appl., 2001

Evolutionary modular design of rough knowledge-based network using fuzzy attributes.
Neurocomputing, 2001

2000
Neuro-fuzzy rule generation: survey in soft computing framework.
IEEE Trans. Neural Networks Learn. Syst., 2000

Staging of cervical cancer with soft computing.
IEEE Trans. Biomed. Eng., 2000

1999
Feature Selection Using Radial Basis Function Networks.
Neural Comput. Appl., 1999

Modular Rough Fuzzy MLP: Evolutionary Design.
Proceedings of the New Directions in Rough Sets, 1999

1998
Rough fuzzy MLP: knowledge encoding and classification.
IEEE Trans. Neural Networks, 1998

Rough Knowledge-based Network, Fuzziness and Classification.
Neural Comput. Appl., 1998

Expert systems in soft computing paradigm.
Proceedings of the Fuzzy logic and expert systems applications., 1998

1997
Knowledge-based fuzzy MLP for classification and rule generation.
IEEE Trans. Neural Networks, 1997

Fuzzy Radial Basis Function Network.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Knowledge-based fuzzy MLP with rough sets.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Fuzzy self-organization, inferencing, and rule generation.
IEEE Trans. Syst. Man Cybern. Part A, 1996

Noisy fingerprint classification using multilayer perceptron with fuzzy geometrical and textural features.
Fuzzy Sets Syst., 1996

1995
Fuzzy multi-layer perceptron, inferencing and rule generation.
IEEE Trans. Neural Networks, 1995

1994
Self-organizing neural network as a fuzzy classifier.
IEEE Trans. Syst. Man Cybern., 1994

Logical operation based fuzzy MLP for classification and rule generation.
Neural Networks, 1994

Fingerpring Classification Using a Fuzzy Multilayer Perceptron.
Neural Comput. Appl., 1994

Fuzzy Versions of Kohonen's Net and MLP-Based Classification: Performance Evaluation for Certain Nonconvex Decision Regions.
Inf. Sci., 1994

A two-level classification scheme trained by a fuzzy neural network.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1992
Multilayer perceptron, fuzzy sets, and classification.
IEEE Trans. Neural Networks, 1992

1990
Fuzzy dynamic clustering algorithm.
Pattern Recognit. Lett., 1990


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