Search Results - "Chakraborti, Tapabrata"

Computational analysis of pathogen-host interactome for fast and low-risk in-silico drug repurposing in emerging viral threats like Mpox by Paul, Debarati, Saha, Sovan, Basu, Subhadip, Chakraborti, Tapabrata

“…Monkeypox (Mpox), a zoonotic illness triggered by the monkeypox virus (MPXV), poses a significant threat since it may be transmitted and has no cure. This work…”
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Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology by Das, Nirmal, Saha, Satadal, Nasipuri, Mita, Basu, Subhadip, Chakraborti, Tapabrata

“…Robust semantic segmentation of tumour micro-environment is one of the major open challenges in machine learning enabled computational pathology. Though deep…”
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RUBic: rapid unsupervised biclustering by Sriwastava, Brijesh K, Halder, Anup Kumar, Basu, Subhadip, Chakraborti, Tapabrata

“…Biclustering of biologically meaningful binary information is essential in many applications related to drug discovery, like protein–protein interactions and…”
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Deep learning as Ricci flow by Baptista, Anthony, Barp, Alessandro, Chakraborti, Tapabrata, Harbron, Chris, MacArthur, Ben D., Banerji, Christopher R. S.

“…Deep neural networks (DNNs) are powerful tools for approximating the distribution of complex data. It is known that data passing through a trained DNN…”
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Editorial for methods special issue: Big data in digital health: methods, analysis and prospects by Chakraborti, Tapabrata, Basu, Subhadip

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Editorial for BFG special issue: Computational genomics for precision medicine and personalized healthcare by Chakraborti, Tapabrata, Basu, Subhadip

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LOOP Descriptor: Local Optimal-Oriented Pattern by Chakraborti, Tapabrata, McCane, Brendan, Mills, Steven, Pal, Umapada

“…This letter introduces the LOOP binary descriptor (local optimal-oriented pattern) that encodes rotation invariance into the main formulation itself. This…”
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A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns by Chakraborti, Tapabrata, Chatterjee, Amitava

“…The present paper proposes a novel feature selection scheme for face recognition problems, employing a new modified version of the gravitational search…”
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A deep learning-shape driven level set synergism for pulmonary nodule segmentation by Roy, Rukhmini, Chakraborti, Tapabrata, Chowdhury, Ananda S.

“…•Deep learning -level set synergism for lung nodule segmentation.•Automated seed points for level set from deep segmentation.•Shape information driven…”
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Computational drug repurposing for viral infectious diseases: a case study on monkeypox by Saha, Sovan, Chatterjee, Piyali, Nasipuri, Mita, Basu, Subhadip, Chakraborti, Tapabrata

“…The traditional method of drug reuse or repurposing has significantly contributed to the identification of new antiviral compounds and therapeutic targets,…”
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Correction: Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology by Das, Nirmal, Saha, Satadal, Nasipuri, Mita, Basu, Subhadip, Chakraborti, Tapabrata

“…[This corrects the article DOI: 10.1371/journal.pone.0286862.]…”
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MSO-GP: 3-D segmentation of large and complex conjoined tree structures by De, Arijit, Das, Nirmal, Saha, Punam K., Comellas, Alejandro, Hoffman, Eric, Basu, Subhadip, Chakraborti, Tapabrata

“…Robust segmentation of large and complex conjoined tree structures in 3-D is a major challenge in computer vision. This is particularly true in computational…”
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Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images by Biswas, Kunal, Shivakumara, Palaiahnakote, Pal, Umapada, Chakraborti, Tapabrata, Lu, Tong, Ayub, Mohamad Nizam Bin

“…In recent years, the usage of social media has been increasing exponentially because of its various real world applications in digital communication such as…”
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Clinical AI tools must convey predictive uncertainty for each individual patient by Banerji, Christopher R. S., Chakraborti, Tapabrata, Harbron, Chris, MacArthur, Ben D.

“…Artificial intelligence tools usually aim to maximize predictive accuracy, but personalized measures of uncertainty, using new techniques such as conformal…”
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An improved deep regression model with state space reconstruction for continuous blood pressure estimation by Lyu, Liangyi, Lu, Lei, Chen, Hanjie, Clifton, David A., Zhang, Yuanting, Chakraborti, Tapabrata

“…Continuous blood pressure (BP) monitoring is crucial for diagnosing and preventing cardiovascular disease (CVD). However, existing approaches for continuous…”
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Deep features and metaheuristics guided optimization-based method for breast cancer diagnosis by Asad, Emon, Mollah, Ayatullah Faruk, Basu, Subhadip, Chakraborti, Tapabrata

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Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning by Shen, Zhan, Chakraborti, Tapabrata, Wang, Wenyan, Yao, Shuaiting, Fu, Zhizhong, Chen, Yifan, Ding, Xiaorong

“…Cuffless blood pressure (BP) measurement has the potential to break through the way to detect and prevent hypertension, but it is still challenging in meeting…”
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Generative AI models should include detection mechanisms as a condition for public release by Knott, Alistair, Pedreschi, Dino, Chatila, Raja, Chakraborti, Tapabrata, Leavy, Susan, Baeza-Yates, Ricardo, Eyers, David, Trotman, Andrew, Teal, Paul D., Biecek, Przemyslaw, Russell, Stuart, Bengio, Yoshua

“…The new wave of ‘foundation models’—general-purpose generative AI models, for production of text (e.g., ChatGPT) or images (e.g., MidJourney)—represent a…”
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A self-adaptive matched filter for retinal blood vessel detection by Chakraborti, Tapabrata, Jha, Dhiraj K., Chowdhury, Ananda S., Jiang, Xiaoyi

“…Retinal fundus images are widely studied in medicine for the detection of certain pathologies such as diabetes and glaucoma, the two major reasons for…”
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A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class by Chakraborti, Tapabrata, Das Sharma, Kaushik, Chatterjee, Amitava

“…In this present paper a new methodology has been presented involving a stochastic optimization based approach to solve the face recognition problem with only…”
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