K. Passi

发表

A Model for XML Schema Integration

Sourav S. Bhowmick, Sanjay Kumar Madria, Mukesh K. Mohania, 2002, EC-Web.

DNA METHYLATION DATA USING NON-NEGATIVE MATRIX FACTORIZATION

Chakresh Kumar Jain, K. Passi, Parth Patel, 2020 .

E-learning User Interface For Visual and Hearing Impaired Students

K. Passi, W. Farhan, 2016 .

Predicting Alzheimer's disease by classifying 3D-Brain MRI images using SVM and other well-defined classifiers

K. Passi, A. Abdel-Dayem, Sofia Matoug, 2012 .

ONE DAY INTERNATIONAL CRICKET MATCHES USING MACHINE LEARNING

K. Passi, Niravkumar Pandey, 2018 .

Improving Gene Expression Prediction of Cancer Data Using Nature Inspired Optimization Algorithms

Chakresh Kumar Jain, K. Passi, Payal Patel, 2021, 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020

K. Passi, Rakshit Sorathiya, 2022, Proceedings of the 11th International Conference on Data Science, Technology and Applications.

Applications of Artificial Intelligence Based Technologies in Weed and Pest Detection

Chakresh Kumar Jain, K. Passi, Bharat Gupta, 2022, Journal of Computer Science.

Characterization of human septic sera induced gene expression modulation in human myocytes.

J. Parrillo, Aseem Kumar, K. Passi, 2009, International journal of clinical and experimental medicine.

Semantic Web and Ontology Engineering for the Colorectal Cancer Follow-Up Clinical Practice Guidelines

Kalpdrum Passi, Hongtao Zhao, K. Passi, 2013, HIS.

Markov blanket: Efficient strategy for feature subset selection method for high dimensional microarray cancer datasets

Kalpdrum Passi, Chakresh Kumar Jain, Abdala Nour, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Efficacy of Non-Negative Matrix Factorization for Feature Selection in Cancer Data

Kalpdrum Passi, Parth Patel, Chakresh Kumar Jain, 2020, International Journal of Data Mining & Knowledge Management Process.

Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization pdf

Kalpdrum Passi, Parth Patel, Chakresh Kumar Jain, 2020, ArXiv.

Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models

Kalpdrum Passi, Chakresh Kumar Jain, Ruihua Guo, 2020, Frontiers in Artificial Intelligence.

Increased Prediction Accuracy in the Game of Cricket using Machine Learning pdf

Kalpdrum Passi, Niravkumar Pandey, K. Passi, 2018, ArXiv.

Assessing the properties of the World Health Organization’s Quality of Life Index

Kalpdrum Passi, Waldemar W. Koczkodaj, Tamar Kakiashvili, 2008, 2008 International Multiconference on Computer Science and Information Technology.

Supporting a Medical Diagnostic Process by Selected AI Methods : an Asperger Syndrome Case Study

Waldemar W. Koczkodaj, Ryszard Tadeusiewicz, T. Kakiashvili, 2008 .

Characterizing the OpenSea NFT Marketplace

K. Passi, Aniket Mahanti, Bryan White, 2022, WWW.

Ranking of web data in a web warehouse

Sourav S. Bhowmick, Sanjay Kumar Madria, Kalpdrum Passi, 2002, Proceedings of the Third International Conference on Web Information Systems Engineering (Workshops), 2002..

Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI)

K. Passi, Harshkumar Mehta, 2022, Algorithms.

Real Time Static Gesture Detection Using Deep Learning

Kalpdrum Passi, Sandipgiri Goswami, K. Passi, 2019, BDA.

Detecting Image Forgery over Social Media Using U-NET with Grasshopper Optimization

K. Passi, Niousha Ghannad, 2023, Algorithms.

Deep Learning-based Robot Control using Recurrent Neural Networks (LSTM; GRU) and Adaptive Sliding Mode Control

Kalpdrum Passi, Meysar Zeinali, Raj Patel, 2021 .

Sentiment Analysis on Twitter Data of World Cup Soccer Tournament Using Machine Learning

Kalpdrum Passi, Ravikumar Patel, K. Passi, 2020, IoT.

Microarray Data Analysis of Yeast Data Using Sparse Non-negative Matrix Factorization

Paul Draper, Chakresh Kumar Jain, Kalpdrum Passi, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Agent based e-commerce systems that react to buyers' feedbacks - A fuzzy approach

K. Passi, B. K. Mohanty, K. Passi, 2010, Int. J. Approx. Reason..

Distinguishing Fake and Real News of Twitter Data with the help of Machine Learning Techniques

K. Passi, Aanan Shah, 2022, IDEAS.

Using Deep Learning to Classify X-ray Images of Potential Tuberculosis Patients

Kalpdrum Passi, Chakresh Kumar Jain, Ojasvi Yadav, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An XML Schema integration and query mechanism system

Sourav S. Bhowmick, Sanjay Kumar Madria, Kalpdrum Passi, 2008, Data Knowl. Eng..

#BlackLivesMatter and Racism in Life Expectancy, Poverty, Educational Attainment, and Race Compositions: State Analysis of 2020 Tweets in the USA

K. Passi, S. Assari, Amir Hossein Zolfaghari, 2023, ArXiv.

Improving Prediction Accuracy of Microarray Cancer Data with Non-negative Matrix Factorization and Its Variant

Kalpdrum Passi, Chakresh Kumar Jain, Nakul Patel, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting liver cancer on epigenomics data using machine learning

Chakresh Kumar Jain, K. Passi, V. Vekariya, 2022, Frontiers in Bioinformatics.

Advances in Proteomics and Bioinformatics

Chakresh Kumar Jain, K. Passi, N. Patel, 2022 .