S
Saurabh Kr. Srivastava
Researcher at ABES Engineering College
Publications - 14
Citations - 172
Saurabh Kr. Srivastava is an academic researcher from ABES Engineering College. The author has contributed to research in topics: Support vector machine & Kernel method. The author has an hindex of 4, co-authored 14 publications receiving 64 citations. Previous affiliations of Saurabh Kr. Srivastava include Galgotias University & Jaypee Institute of Information Technology.
Papers
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Journal ArticleDOI
Machine Learning: A Review on Binary Classification
TL;DR: This research synthesizes binary classification in which various approaches for binary classification are discussed and sockpuppet detection is based on binary.
Journal ArticleDOI
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.
Jasjit S. Suri,Anudeep Puvvula,Misha Majhail,Mainak Biswas,Ankush D Jamthikar,Luca Saba,Gavino Faa,Inder M. Singh,Ronald Oberleitner,Monika Turk,Saurabh Kr. Srivastava,Paramjit S. Chadha,Harman S. Suri,Amer M. Johri,Vijay Nambi,J. Miguel Sanches,Narendra N. Khanna,Klaudija Višković,Sophie Mavrogeni,John R. Laird,Arindam Bit,Gyan Pareek,Martin Miner,Antonella Balestrieri,Petros P. Sfikakis,George Tsoulfas,Athanasios Protogerou,Durga Prasanna Misra,Vikas Agarwal,George D. Kitas,George D. Kitas,Raghu Kolluri,Jagjit S Teji,Michele Porcu,Mustafa Al-Maini,Ann Agbakoba,Meyypan Sockalingam,Ajit Sexena,Andrew Nicolaides,Aditya Sharma,Vijay Rathore,Vijay Viswanathan,Subbaram Naidu,Deepak L. Bhatt +43 more
TL;DR: In this article, the authors show the powerful methods of AI for tracking cardiovascular risks and conclude that AI could potentially become an integral part of the COVID-19 disease management system.
Journal ArticleDOI
Geometric total plaque area is an equally powerful phenotype compared with carotid intima–media thickness for stroke risk assessment: A deep learning approach
Elisa Cuadrado-Godia,Saurabh Kr. Srivastava,Luca Saba,Tadashi Araki,Harman S. Suri,Argiris Giannopolulos,Tomaz Omerzu,John R. Laird,Narendra N. Khanna,Sophie Mavrogeni,George D. Kitas,George D. Kitas,Andrew N. Nicolaides,Jasjit S. Suri +13 more
TL;DR: An intelligence-based automated deep learning (DL)–based technique for carotid wall interface detection, cIMT, and lumen diameter (LD) measurements, followed by a 3D cylindrical approach for TPA measurement shows gTPA as an equally powerfulCarotid risk biomarker like cIMt.
Proceedings ArticleDOI
Role of Kernel Parameters in Performance Evaluation of SVM
TL;DR: To evaluate the performance of the classifier, the paper has used True positive rate, False Positive rate, Precision, Recall, F-measure and accuracy as performance measures of SVM and evaluated that SVM with linear kernel performs best among all.
Journal ArticleDOI
A new backpropagation neural network classification model for prediction of incidence of malaria.
TL;DR: An inter-spike interval (ISI-BPNN) architecture that uses a single-pass spiking learning strategy and has a parallel structure that is useful for non-linear regression tasks and is well suited for deciphering the risk of acquiring malaria as well as other diseases in prone regions of the world.