activity
20202026
most citedHousing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study

19 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

KITE: A Tri-Modal Transformer Integrating Text, Images, and Knowledge Graphs for Fake News Detection

Kevin Patel, Shashi Bhushan Jha

Traditional fake news detection methods are falling behind as multimodal misinformation grows more advanced, seamlessly blending deceptive text, manipulated visuals, and factually…

cs.LG2024★ 1 cited

Flight Delay Prediction using Hybrid Machine Learning Approach: A Case Study of Major Airlines in the United States

Rajesh Kumar Jha, Shashi Bhushan Jha, Vijay Pandey +1

The aviation industry has experienced constant growth in air traffic since the deregulation of the U.S. airline industry in 1978. As a result, flight delays have become a major con…

cs.LG2020★ 1 cited

Machine Learning Approaches to Real Estate Market Prediction Problem: A Case Study

Shashi Bhushan Jha, Vijay Pandey, Rajesh Kumar Jha +1

Home sale prices are formed given the transaction actors economic interests, which include government, real estate dealers, and the general public who buy or sell properties. Gener…

cs.LG2020★ 19 cited

Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study

Shashi Bhushan Jha, Radu F. Babiceanu, Vijay Pandey +1

Developing an accurate prediction model for housing prices is always needed for socio-economic development and well-being of citizens. In this paper, a diverse set of machine learn…

cs.CV2020

Incorporating Image Gradients as Secondary Input Associated with Input Image to Improve the Performance of the CNN Model

Vijay Pandey, Shashi Bhushan Jha

CNN is very popular neural network architecture in modern days. It is primarily most used tool for vision related task to extract the important features from the given image. Moreo…