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ORCIDMuthu Subash Kavitha
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- affiliation: SNS College of Technology, Coimbatore, India
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2020 – today
- 2026
[j28]Smriti Vipin Madangarli, G. Suganeshwari, S. P. Syed Ibrahim, Muthu Subash Kavitha, Norio Setozaki:
Semantic and temporal-aware hybrid embedding for transformer-based sequential recommendation. Artif. Intell. Rev. 59(4): 110 (2026)- [j27]G. Gokila Deepa, S. Karthik, Muthu Subash Kavitha, R. Sabitha:
PAVE-GAN: Pose and Activity Estimation Via Visual Edge-Based Generative Adversarial Network for Parkinson Disease Detection. Int. J. Comput. Intell. Syst. 19(1): 7 (2026) - [i8]Meghana Sunil, Manikandarajan Venmathimaran, Muthu Subash Kavitha:
iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models. CoRR abs/2601.05877 (2026) - [i7]Muthu Subash Kavitha, Anas Zafar, Amgad Muneer, Jia Wu:
Task-Agnostic Continual Learning for Chest Radiograph Classification. CoRR abs/2602.15811 (2026) - 2025
- [j26]Shravan Venkatraman
, Joe Dhanith Pal Nesamony Rose Mary, Muthu Subash Kavitha:
Hierarchical graph-guided contextual representation learning for Neurodegenerative pattern recognition in MRI. Comput. Biol. Medicine 199: 111276 (2025) - [j25]L. R. Sujithra, V. Praveena, S. Karthik, Muthu Subash Kavitha:
Membership Weight Salp Swarm Algorithm (MWSSA) based feature selection and deep learning approach for breast cancer classification of SNP genomics data. Multim. Tools Appl. 84(11): 9393-9429 (2025) - [j24]Kishan Madhav AG, Avinash Venugopal, Muthu Subash Kavitha, S. P. Syed Ibrahim:
Lightweight GANs in domain generalized medical image segmentation. Signal Image Video Process. 19(14): 1260 (2025) - [i6]Shravan Venkatraman, Muthu Subash Kavitha, P. R. Joe Dhanith, V. Manikandarajan, Jia Wu:
Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology. CoRR abs/2512.06949 (2025) - [i5]Shravan Venkatraman, Rakesh Raj Madavan, Pavan Kumar S, Muthu Subash Kavitha:
TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration. CoRR abs/2512.07171 (2025) - 2024
- [j23]Ananthakrishnan Balasundaram, Alabhya Sharma, Swaathy Kumaravelan, Ayesha Shaik, Muthu Subash Kavitha:
An Improved Normalized Difference Vegetation Index (NDVI) Estimation Using Grounded Dino and Segment Anything Model for Plant Health Classification. IEEE Access 12: 75907-75919 (2024) - [j22]J. Shanthini, P. Poovizhi, Muthu Subash Kavitha, S. Karthik:
An approach towards the detection of eye cancer using configured convolution neural network with sine cosine fitness gray wolf optimizer. J. Intell. Fuzzy Syst. 46(3): 7223-7239 (2024) - 2023
- [j21]P. Sumathi, V. V. Karthikeyan, Muthu Subash Kavitha, S. Karthik:
Improved Soil Quality Prediction Model Using Deep Learning for Smart Agriculture Systems. Comput. Syst. Sci. Eng. 45(2): 1545-1559 (2023) - [j20]R. Sabitha, P. Poonkodi, Muthu Subash Kavitha, S. Karthik:
Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features. Circuits Syst. Signal Process. 42(12): 7529-7548 (2023) - [j19]Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita:
Attention-effective multiple instance learning on weakly stem cell colony segmentation. Intell. Syst. Appl. 17: 200187 (2023) - [j18]N. Karthikeyan, I. Gugan, Muthu Subash Kavitha, S. Karthik:
An effective ontology-based query response model for risk assessment in urban flood disaster management. J. Intell. Fuzzy Syst. 44(3): 5163-5178 (2023) - [j17]V. Praveena, L. R. Sujithra, S. Karthik, Muthu Subash Kavitha:
Bio-Inspired ensemble feature selection and deep auto-encoder approach for rapid diagnosis of breast cancer. Multim. Syst. 29(6): 3403-3419 (2023) - [c13]N. Karthikeyan, Jajjara Bhargav, Muthu Subash Kavitha, S. Karthik:
QoS Based Hybrid Swarm Intelligent Intrusion Detection System for Network Security. ICCCNT 2023: 1-8 - 2022
- [j16]S. Karthik, M. Santhosh, Muthu Subash Kavitha, Christopher A. Paul:
Automated Deep Learning Based Cardiovascular Disease Diagnosis Using ECG Signals. Comput. Syst. Sci. Eng. 42(1): 183-199 (2022) - [j15]M. Manikandan, R. Subramanian, Muthu Subash Kavitha, S. Karthik:
Cost Effective Optimal Task Scheduling Model in Hybrid Cloud Environment. Comput. Syst. Sci. Eng. 42(3): 935-948 (2022) - [j14]Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN. Int. J. Comput. Vis. 130(10): 2349-2363 (2022) - [j13]Kanimozhi Ganesan, Pichai Shanmugavadivu, Muthu Subash Kavitha, Masayoshi Takahashi:
Data imputation in deep neural network to enhance breast cancer detection. Int. J. Imaging Syst. Technol. 32(6): 2094-2106 (2022) - [j12]Qien Yu, Muthu Subash Kavitha, Takio Kurita:
Correction to: Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 34(1): 821 (2022) - [i4]Novanto Yudistira, Muthu Subash Kavitha, Jeny Rajan, Takio Kurita:
Attention-effective multiple instance learning on weakly stem cell colony segmentation. CoRR abs/2203.04606 (2022) - 2021
- [j11]Qien Yu, Muthu Subash Kavitha, Takio Kurita:
Mixture of experts with convolutional and variational autoencoders for anomaly detection. Appl. Intell. 51(6): 3241-3254 (2021) - [j10]Qien Yu, Muthu Subash Kavitha, Takio Kurita:
Autoencoder framework based on orthogonal projection constraints improves anomalies detection. Neurocomputing 450: 372-388 (2021) - [j9]G. S. Gopika, J. Shanthini, Muthu Subash Kavitha, R. Sabitha:
Brain Tumor Detection with Biologically Inspired Watershed Segmentation and Classification Based on Feed-Forward Neural Network (FNN). J. Medical Imaging Health Informatics 11(12): 3181-3190 (2021) - [j8]Qien Yu, Muthu Subash Kavitha, Takio Kurita:
Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection. Neural Comput. Appl. 33(20): 13785-13807 (2021) - [j7]Lukman Hakim, Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita:
Regularizer based on Euler characteristic for retinal blood vessel segmentation. Pattern Recognit. Lett. 149: 83-90 (2021) - [c12]B. N. Anoop, Saswat Parida, B. Ajith, G. N. Girish, Abhishek R. Kothari, Muthu Subash Kavitha, Jeny Rajan:
Attention Assisted Patch-Wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images. PReMI 2021: 213-223 - [c11]Naganandhini, Pichai Shanmugavadivu, Kanimozhi, Muthu Subash Kavitha:
Data Imputation of Brain MRI Features with Enhanced Multinomial Logistic Regression for Alzheimer's Disease Classification. SIET 2021: 339-347 - 2020
- [j6]Young-Ji Yun, Byeong-Cheol Ahn, Muthu Subash Kavitha, Sung-Il Chien:
An Efficient Region Precise Thresholding and Direct Hough Transform in Femur and Femoral Neck Segmentation Using Pelvis CT. IEEE Access 8: 110048-110058 (2020) - [j5]Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization. IEICE Trans. Inf. Syst. 103-D(10): 2154-2161 (2020) - [j4]Muthu Subash Kavitha, J. Shanthini, Reddipalayam Murugeshan Bhavadharini:
ECIDS-Enhanced Cancer Image Diagnosis and Segmentation Using Artificial Neural Networks and Active Contour Modelling. J. Medical Imaging Health Informatics 10(2): 428-434 (2020) - [c10]Keijiro Kanda, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis. IW-FCV 2020: 206-220 - [c9]Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita:
Transfer Learning by Cascaded Network to Identify and Classify Lung Nodules for Cancer Detection. IW-FCV 2020: 262-273 - [i3]Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. CoRR abs/2009.07567 (2020) - [i2]Shah B. Shrey, Lukman Hakim, Muthu Subash Kavitha, Hae Won Kim, Takio Kurita:
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection. CoRR abs/2009.11587 (2020) - [i1]Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN. CoRR abs/2012.09542 (2020)
2010 – 2019
- 2019
- [j3]Muthu Subash Kavitha, J. Shanthini, R. Sabitha:
ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques. J. Medical Syst. 43(3): 73:1-73:9 (2019) - [c8]Muthu Subash Kavitha, Novanto Yudistira, Takio Kurita:
Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease. IWCIA 2019: 89-94 - [c7]Qien Yu, Muthu Subash Kavitha, Takio Kurita:
Detection of One Dimensional Anomalies Using a Vector-Based Convolutional Autoencoder. ACPR (2) 2019: 516-529 - [c6]Nasrulloh R. B. S. Loka, Muthu Subash Kavitha, Takio Kurita:
Hilbert Vector Convolutional Neural Network: 2D Neural Network on 1D Data. ICANN (1) 2019: 458-470 - [c5]Jonathan Mojoo, Yu Zhao, Muthu Subash Kavitha, Jun'ichi Miyao, Takio Kurita:
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines. ICONIP (2) 2019: 286-298 - [c4]Lukman Hakim, Novanto Yudistira, Muthu Subash Kavitha, Takio Kurita:
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image. ICONIP (5) 2019: 515-522 - 2018
- [j2]Muthu Subash Kavitha, Takio Kurita, Byeong-Cheol Ahn:
Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques. Comput. Biol. Medicine 94: 55-64 (2018) - 2017
- [c3]X. Arputha Rathina, M. Ponnavaikko, K. M. Mehata, Muthu Subash Kavitha:
Analysis of User's Behavior Using Markov Model. SocProS (2) 2017: 405-423 - 2012
- [j1]Muthu Subash Kavitha, Akira Asano, Akira Taguchi, Takio Kurita, Mitsuhiro Sanada:
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system. BMC Medical Imaging 12: 1 (2012) - [c2]Muthu Subash Kavitha, Takio Kurita, Akira Asano, Akira Taguchi:
Automatic assessment of mandibular bone using support vector machine for the diagnosis of osteoporosis. SMC 2012: 214-219 - 2011
- [c1]Muthu Subash Kavitha, Akira Asano, Akira Taguchi:
Continuous measurements of mandibular cortical width on dental panoramic radiographs for computer-aided diagnosis of osteoporosis. Computer-Aided Diagnosis 2011: 79633Y
Coauthor Index
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last updated on 2026-03-31 00:31 CEST by the dblp team
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