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2020 – today
- 2024
[j143]Pawan Kumar Singh
, Ram Sarkar, Vikrant Bhateja, Mita Nasipuri:
A comprehensive handwritten Indic script recognition system: a tree-based approach. J. Ambient Intell. Humaniz. Comput. 15(1): 943-960 (2024)- [j142]Tapas Chakraborty, Rudrajit Bhattacharyya, Nibaran Das, Subhadip Basu, Mita Nasipuri:
MAuD: a multivariate audio database of samples collected from benchmark conferencing platforms. Multim. Tools Appl. 83(13): 38465-38479 (2024) - [j141]Kalpita Dutta, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
Natural scene text localization and detection using MSER and its variants: a comprehensive survey. Multim. Tools Appl. 83(18): 55773-55810 (2024) - [j140]Arnab Banerjee, Somenath Sarkar, Mita Nasipuri, Nibaran Das:
Skin Diseases Detection Using LBP and WLD: An Ensembling Approach. SN Comput. Sci. 5(1): 72 (2024) - [i97]Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri:
Hand Biometrics in Digital Forensics. CoRR abs/2402.11206 (2024) - [i96]Anay Panja, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss. CoRR abs/2403.10880 (2024) - [i95]Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images. CoRR abs/2403.10881 (2024) - 2023
- [j139]Soumyajyoti Dey, Shyamali Mitra, Sukanta Chakraborty, Debashri Mondal, Mita Nasipuri, Nibaran Das:
GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images. Comput. Biol. Medicine 152: 106329 (2023) - [j138]Bidhan Barai, Nibaran Das, Subhadip Basu, Mita Nasipuri:
An empirical study on analysis window functions for text-independent speaker recognition. Int. J. Speech Technol. 26(1): 211-220 (2023) - [j137]Asish Bera, Mita Nasipuri, Ondrej Krejcar, Debotosh Bhattacharjee:
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j136]Samir Malakar, Samanway Sahoo, Anuran Chakraborty, Ram Sarkar, Mita Nasipuri:
Handwritten Arabic and Roman word recognition using holistic approach. Vis. Comput. 39(7): 2909-2932 (2023) - [i94]Asish Bera, Mita Nasipuri, Ondrej Krejcar, Debotosh Bhattacharjee:
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis. CoRR abs/2308.00323 (2023) - [i93]Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri:
Deep Neural Networks Fused with Textures for Image Classification. CoRR abs/2308.01813 (2023) - [i92]Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri:
Finger Biometric Recognition With Feature Selection. CoRR abs/2312.10447 (2023) - 2022
- [j135]Arnab Banerjee, Arijit Das, Samarendra Behra, Debotosh Bhattacharjee, Nagesh Talagunda Srinivasan, Mita Nasipuri, Nibaran Das:
Carp-DCAE: Deep convolutional autoencoder for carp fish classification. Comput. Electron. Agric. 196: 106810 (2022) - [j134]Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakraborty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Toward Automation: Systematically Revisited. ACM Comput. Surv. 54(3): 52:1-52:41 (2022) - [j133]Priya Saha, Debotosh Bhattacharjee, Barin Kumar De, Mita Nasipuri:
A Thermal Blended Facial Expression Analysis and Recognition System Using Deformed Thermal Facial Areas. Int. J. Image Graph. 22(5): 2250049:1-2250049:28 (2022) - [j132]Bidhan Barai, Tapas Chakraborty, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Closed-set speaker identification using VQ and GMM based models. Int. J. Speech Technol. 25(1): 173-196 (2022) - [j131]Biswarup Ray, Soulib Ghosh, Shameem Ahmed, Ram Sarkar, Mita Nasipuri:
Outlier detection using an ensemble of clustering algorithms. Multim. Tools Appl. 81(2): 2681-2709 (2022) - [j130]Soumi Paul, Hayat Nasser, Ayatullah Faruk Mollah, Arpan Bhattacharyya, Phuc Ngo, Mita Nasipuri, Isabelle Debled-Rennesson, Subhadip Basu:
Development of benchmark datasets of multioriented hand gestures for speech and hearing disabled. Multim. Tools Appl. 81(5): 7285-7321 (2022) - [j129]Taniya Sahana, Subhadip Basu, Mita Nasipuri, Ayatullah Faruk Mollah:
MRCS: multi-radii circular signature based feature descriptor for hand gesture recognition. Multim. Tools Appl. 81(6): 8539-8560 (2022) - [j128]Shubhadeep Bhowmick, Somenath Kuiry, Alaka Das, Nibaran Das, Mita Nasipuri:
Deep Learning-Based Outdoor Object Detection Using Visible and Near-Infrared Spectrum. Multim. Tools Appl. 81(7): 9385-9402 (2022) - [j127]Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar:
3D Face Recognition Using a Fusion of PCA and ICA Convolution Descriptors. Neural Process. Lett. 54(4): 3507-3527 (2022) - [j126]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. Pattern Recognit. Lett. 155: 41-47 (2022) - [j125]Pawan Kumar Singh, Ram Sarkar, Ajith Abraham, Mita Nasipuri:
A Case Study on Handwritten Indic Script Classification: Benchmarking of the Results at Page, Block, Text-line, and Word Levels. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 32:1-32:36 (2022) - [j124]Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Dariusz Plewczynski, Subhadip Basu:
JUPPI: A Multi-Level Feature Based Method for PPI Prediction and a Refined Strategy for Performance Assessment. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 531-542 (2022) - [j123]Geet Sahu, Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Peter Brida, Ondrej Krejcar:
Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 762-782 (2022) - [c98]Avirup Dey, Mita Nasipuri, Nibaran Das:
Variational Augmentation for Enhancing Historical Document Image Binarization✱. ICVGIP 2022: 40:1-40:7 - [i91]Avirup Dey, Nibaran Das, Mita Nasipuri:
Variational Augmentation for Enhancing Historical Document Image Binarization. CoRR abs/2211.06581 (2022) - 2021
- [j122]Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar:
Complement component face space for 3D face recognition from range images. Appl. Intell. 51(4): 2500-2517 (2021) - [j121]Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Elisa H. Barney Smith, Mita Nasipuri:
A new feature extraction approach for script invariant handwritten numeral recognition. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j120]Sovan Saha, Abhimanyu Prasad, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri:
Modified FPred-Apriori: improving function prediction of target proteins from essential neighbours by finding their association with relevant functional groups using Apriori algorithm. Int. J. Adv. Intell. Paradigms 19(1): 61-83 (2021) - [j119]Shantanu Jana, Nibaran Das, Subhadip Basu, Mita Nasipuri:
Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications. Int. J. Digit. Crime Forensics 13(6): 1-20 (2021) - [j118]Pramit Ghosh, Debotosh Bhattacharjee, Mita Nasipuri:
Passive Auto Focusing of Pathological Microscope with Intelligent Field Image Collection Mechanism. J. Medical Syst. 45(2): 25 (2021) - [j117]Suman Kumar Bera, Soulib Ghosh, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri:
A non-parametric binarization method based on ensemble of clustering algorithms. Multim. Tools Appl. 80(5): 7653-7673 (2021) - [j116]Shamik Majumder, Subhrangshu Ghosh, Samir Malakar, Ram Sarkar, Mita Nasipuri:
A voting-based technique for word spotting in handwritten document images. Multim. Tools Appl. 80(8): 12411-12434 (2021) - [j115]Swarnendu Ghosh, Nibaran Das, Priyam Sarkar, Mita Nasipuri:
JU-VNT: a multi-spectral dataset of indoor object recognition using visible, near-infrared and thermal spectrum. Multim. Tools Appl. 80(12): 17807-17826 (2021) - [j114]Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri, Hubert P. H. Shum:
Spoofing detection on hand images using quality assessment. Multim. Tools Appl. 80(19): 28603-28626 (2021) - [j113]Samir Malakar, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
An image database of handwritten Bangla words with automatic benchmarking facilities for character segmentation algorithms. Neural Comput. Appl. 33(1): 449-468 (2021) - [j112]Bodhisatwa Mandal, Ritesh Sarkhel, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks. Pattern Recognit. 109: 107595 (2021) - [j111]Sabyasachi Chatterjee, Prabir Banerjee, Mita Nasipuri:
Enhancing localization accuracy of collaborative cognitive radio users by internal noise mitigation. Telecommun. Syst. 76(2): 187-206 (2021) - [j110]Debapriya Banik, Kaushiki Roy, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar:
Polyp-Net: A Multimodel Fusion Network for Polyp Segmentation. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j109]Sourav Pramanik, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar:
LINPE-BL: A Local Descriptor and Broad Learning for Identification of Abnormal Breast Thermograms. IEEE Trans. Medical Imaging 40(12): 3919-3931 (2021) - [c97]Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. CICBA 2021: 105-117 - [c96]Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Exploring Knowledge Distillation of a Deep Neural Network for Multi-script Identification. CICBA 2021: 150-162 - [c95]Kalpita Dutta, Shuvayan Ghosh Dastidar, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Script Identification in Natural Scene Text Images by Learning Local and Global Features on Inception Net. CVIP (1) 2021: 458-467 - [c94]Soumi Paul, Madhuram Jajoo, Abhijeet Raj, Ayatullah Faruk Mollah, Mita Nasipuri, Subhadip Basu:
Dynamic Hand Gesture Recognition of the Days of a Week in Indian Sign Language Using Low-Cost Depth Device. FICTA (1) 2021: 141-149 - [i90]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
RectiNet-v2: A stacked network architecture for document image dewarping. CoRR abs/2102.01120 (2021) - [i89]Md. Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das:
Multispectral Object Detection with Deep Learning. CoRR abs/2102.03115 (2021) - [i88]Shuvayan Ghosh Dastidar, Kalpita Dutta, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification. CoRR abs/2102.10335 (2021) - [i87]Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das:
GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits. CoRR abs/2104.11620 (2021) - [i86]Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri, Hubert P. H. Shum:
Spoofing Detection on Hand Images Using Quality Assessment. CoRR abs/2110.12923 (2021) - 2020
- [j108]Riya Guha, Nibaran Das, Mahantapas Kundu, Mita Nasipuri, KC Santosh:
DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2052009:1-2052009:20 (2020) - [j107]Anirban Mukhopadhyay, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
Handwritten Indic Script Recognition Based on the Dempster-Shafer Theory of Evidence. J. Intell. Syst. 29(1): 264-282 (2020) - [j106]Samir Malakar, Manosij Ghosh, Ram Sarkar, Mita Nasipuri:
Development of a Two-Stage Segmentation-Based Word Searching Method for Handwritten Document Images. J. Intell. Syst. 29(1): 719-735 (2020) - [j105]Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
M-HMOGA: A New Multi-Objective Feature Selection Algorithm for Handwritten Numeral Classification. J. Intell. Syst. 29(1): 1453-1467 (2020) - [j104]Ayan Seal, Angel García-Pedrero, Debotosh Bhattacharjee, Mita Nasipuri, Mario Lillo-Saavedra, Ernestina Menasalvas, Consuelo Gonzalo-Martín:
Multi-scale RoIs selection for classifying multi-spectral images. Multidimens. Syst. Signal Process. 31(2): 745-769 (2020) - [j103]Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri:
SpPCANet: a simple deep learning-based feature extraction approach for 3D face recognition. Multim. Tools Appl. 79(41-42): 31329-31352 (2020) - [j102]Samir Malakar, Manosij Ghosh, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri:
A GA based hierarchical feature selection approach for handwritten word recognition. Neural Comput. Appl. 32(7): 2533-2552 (2020) - [j101]Soumyadeep Kundu, Sayantan Paul, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
Understanding NFC-Net: a deep learning approach to word-level handwritten Indic script recognition. Neural Comput. Appl. 32(12): 7879-7895 (2020) - [j100]Samir Malakar, Sayantan Paul, Soumyadeep Kundu, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri:
Handwritten word recognition using lottery ticket hypothesis based pruned CNN model: a new benchmark on CMATERdb2.1.2. Neural Comput. Appl. 32(18): 15209-15220 (2020) - [j99]Kalpita Dutta, Malyaban Bal, Arpita Basak, Swarnendu Ghosh, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
Multi scale mirror connection based encoder decoder network for text localization. Pattern Recognit. Lett. 135: 64-71 (2020) - [j98]Koushik Dutta, Debotosh Bhattacharjee, Mita Nasipuri:
Volumetric Density of Triangulated Range Images for Face Recognition. Trans. Comput. Sci. 35: 58-84 (2020) - [j97]Sourav Pramanik, Debotosh Bhattacharjee, Mita Nasipuri:
MSPSF: A Multi-Scale Local Intensity Measurement Function for Segmentation of Breast Thermogram. IEEE Trans. Instrum. Meas. 69(6): 2722-2733 (2020) - [j96]Sourav Pramanik, Supratim Ghosh, Debotosh Bhattacharjee, Mita Nasipuri:
Segmentation of Breast-Region in Breast Thermogram Using Arc-Approximation and Triangular-Space Search. IEEE Trans. Instrum. Meas. 69(7): 4785-4795 (2020) - [c93]Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri:
A Multi-Scale Patch-Based Deep Learning System for Polyp Segmentation. ACSS (2) 2020: 109-119 - [c92]Ratnadeep Dey, Debotosh Bhattacharjee, Mita Nasipuri:
Object Detection in Rainy Condition from Video Using YOLO Based Deep Learning Model. ACSS (2) 2020: 121-131 - [c91]Bisakh Mondal, Nibaran Das, KC Santosh, Mita Nasipuri:
Improved Skin Disease Classification Using Generative Adversarial Network. CBMS 2020: 520-525 - [c90]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping. ICPR 2020: 10548-10554 - [p3]Shyamali Mitra, Soumyajyoti Dey, Nibaran Das, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar:
Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks. Intelligent Computing Paradigm 2020: 103-122 - [i85]Somenath Kuiry, Nibaran Das, Alaka Das, Mita Nasipuri:
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation. CoRR abs/2003.05710 (2020) - [i84]Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator. CoRR abs/2003.06872 (2020) - [i83]Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar:
Cytology Image Analysis Techniques Towards Automation: Systematically Revisited. CoRR abs/2003.07529 (2020) - [i82]Arnab Banerjee, Nibaran Das, Mita Nasipuri:
Skin Diseases Detection using LBP and WLD- An Ensembling Approach. CoRR abs/2004.04122 (2020) - [i81]Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition. CoRR abs/2004.12769 (2020) - [i80]Sovan Saha, Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Subhadip Basu:
Computational modeling of Human-nCoV protein-protein interaction network. CoRR abs/2005.04108 (2020) - [i79]Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem. CoRR abs/2005.04596 (2020) - [i78]Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri:
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping. CoRR abs/2007.09824 (2020) - [i77]Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri:
Handwritten Script Identification from Text Lines. CoRR abs/2009.07433 (2020) - [i76]Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri:
A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition. CoRR abs/2009.07435 (2020) - [i75]Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury, Ram Sarkar, Mita Nasipuri:
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform. CoRR abs/2009.08037 (2020)
2010 – 2019
- 2019
- [j95]Kaushiki Roy, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri:
Patch-based system for Classification of Breast Histology images using deep learning. Comput. Medical Imaging Graph. 71: 90-103 (2019) - [j94]Iman Chatterjee, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
A clustering-based feature selection framework for handwritten Indic script classification. Expert Syst. J. Knowl. Eng. 36(6) (2019) - [j93]Sourav Pramanik, Debotosh Bhattacharjee, Mita Nasipuri:
Breast abnormality detection using combined texture and vascular features. Int. J. Comput. Sci. Eng. 18(2): 140-153 (2019) - [j92]Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
Indic script identification from handwritten document images. Int. J. Intell. Syst. Technol. Appl. 18(3): 303-321 (2019) - [j91]Kaustav Sengupta, Sovan Saha, Piyali Chatterjee, Mahantapas Kundu, Mita Nasipuri, Subhadip Basu:
Identification of Essential Proteins by Detecting Topological and Functional Clusters in Protein Interaction Network of Saccharomyces Cerevisiae. Int. J. Nat. Comput. Res. 8(1): 31-51 (2019) - [j90]Sovan Saha, Abhimanyu Prasad, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri:
Protein function prediction from dynamic protein interaction network using gene expression data. J. Bioinform. Comput. Biol. 17(4): 1950025:1-1950025:15 (2019) - [j89]Sayantani Basu, Marimuthu Karuppiah, Mita Nasipuri, Anup Kumar Halder, Niranchana Radhakrishnan:
Bio-inspired cryptosystem with DNA cryptography and neural networks. J. Syst. Archit. 94: 24-31 (2019) - [j88]Parama Bagchi, Debotosh Bhattacharjee, Mita Nasipuri:
Reg3DFacePtCd: Registration of 3D Point Clouds Using a Common Set of Landmarks for Alignment of Human Face Images. Künstliche Intell. 33(4): 369-387 (2019) - [j87]Swarnendu Ghosh, Anisha Pal, Shourya Jaiswal, KC Santosh, Nibaran Das, Mita Nasipuri:
SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving. Int. J. Mach. Learn. Cybern. 10(11): 3145-3154 (2019) - [j86]Shauvik Paul, Satadal Saha, Subhadip Basu, Punam Kumar Saha, Mita Nasipuri:
Text localization in camera captured images using fuzzy distance transform based adaptive stroke filter. Multim. Tools Appl. 78(13): 18017-18036 (2019) - [j85]Priya Saha, Debotosh Bhattacharjee, Barin Kumar De, Mita Nasipuri:
A Survey on Image Acquisition Protocols for Non-posed Facial Expression Recognition Systems. Multim. Tools Appl. 78(16): 23329-23368 (2019) - [j84]Showmik Bhowmik, Samir Malakar, Ram Sarkar, Subhadip Basu, Mahantapas Kundu, Mita Nasipuri:
Off-line Bangla handwritten word recognition: a holistic approach. Neural Comput. Appl. 31(10): 5783-5798 (2019) - [j83]Swarnendu Ghosh, Nibaran Das, Mita Nasipuri:
Reshaping inputs for convolutional neural network: Some common and uncommon methods. Pattern Recognit. 93: 79-94 (2019) - [j82]Anup Kumar Halder, Piyali Chatterjee, Mita Nasipuri, Dariusz Plewczynski, Subhadip Basu:
3gClust: Human Protein Cluster Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1773-1784 (2019) - [j81]Sourav Pramanik, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri, Mrinal Kanti Bhowmik, Gautam Majumdar:
Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method. IEEE Trans. Medical Imaging 38(2): 572-584 (2019) - [i74]Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri:
Using dynamic routing to extract intermediate features for developing scalable capsule networks. CoRR abs/1907.06062 (2019) - [i73]Animesh Singh, Sandip Saha, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network. CoRR abs/1912.12405 (2019) - 2018
- [j80]Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
Correlation-based classifier combination in the field of pattern recognition. Comput. Intell. 34(3): 839-874 (2018) - [j79]Sabyasachi Chatterjee, Prabir Banerjee, Mita Nasipuri:
A new protocol for concurrently allocating licensed spectrum to underlay cognitive users. Digit. Commun. Networks 4(3): 200-208 (2018) - [j78]Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri:
An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm. Eng. Appl. Artif. Intell. 67: 317-330 (2018) - [j77]Ayan Seal, Debotosh Bhattacharjee, Mita Nasipuri, Consuelo Gonzalo-Martín, Ernestina Menasalvas:
À-trous wavelet transform-based hybrid image fusion for face recognition using region classifiers. Expert Syst. J. Knowl. Eng. 35(6) (2018) - [j76]Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
A comprehensive survey on Bangla handwritten numeral recognition. Int. J. Appl. Pattern Recognit. 5(1): 55-71 (2018) - [j75]Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri:
Script invariant handwritten digit recognition using a simple feature descriptor. Int. J. Comput. Vis. Robotics 8(5): 543-560 (2018) - [j74]Showmik Bhowmik, Ram Sarkar, Mita Nasipuri, David S. Doermann:
Text and non-text separation in offline document images: a survey. Int. J. Document Anal. Recognit. 21(1-2): 1-20 (2018) - [j73]Sandipan Choudhuri, Nibaran Das, Ritesh Sarkhel, Mita Nasipuri:
Object Localization on Natural Scenes: A Survey. Int. J. Pattern Recognit. Artif. Intell. 32(2): 1855001:1-1855001:39 (2018) - [j72]Sovan Saha, Abhimanyu Prasad, Piyali Chatterjee, Subhadip Basu, Mita Nasipuri:
Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features. J. Bioinform. Comput. Biol. 16(6): 1850025:1-1850025:15 (2018) - [j71]Anirban Mukhopadhyay, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri:
A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition. J. Imaging 4(2): 39 (2018) - [j70]Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri:
Feature Selection Using Harmony Search for Script Identification from Handwritten Document Images. J. Intell. Syst. 27(3): 465-488 (2018) - [j69]