2 citations · 2 across the 6 of their papers we have counts for
6 papers
Efficient Malware Detection with Optimized Learning on High-Dimensional Features
Aditya Choudhary, Sarthak Pawar, Yashodhara Haribhakta
Malware detection using machine learning requires feature extraction from binary files, as models cannot process raw binaries directly. A common approach involves using LIEF for ra…
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
Atharva Mutsaddi, Anvi Jamkhande, Aryan Thakre +1
As short text data in native languages like Hindi increasingly appear in modern media, robust methods for topic modeling on such data have gained importance. This study investigate…
Advancing Financial Forecasting: A Comparative Analysis of Neural Forecasting Models N-HiTS and N-BEATS
Mohit Apte, Yashodhara Haribhakta
In the rapidly evolving field of financial forecasting, the application of neural networks presents a compelling advancement over traditional statistical models. This research pape…
Leveraging Knowledge Graphs for Orphan Entity Allocation in Resume Processing
Aagam Bakliwal, Shubham Manish Gandhi, Yashodhara Haribhakta
Significant challenges are posed in talent acquisition and recruitment by processing and analyzing unstructured data, particularly resumes. This research presents a novel approach…
Graph based Question Answering System
Piyush Mital, Saurabh Agarwal, Bhargavi Neti +6
In today's digital age in the dawning era of big data analytics it is not the information but the linking of information through entities and actions which defines the discourse. A…
Learning Context for Text Categorization
Y. V. Haribhakta, Dr. Parag Kulkarni
This paper describes our work which is based on discovering context for text document categorization. The document categorization approach is derived from a combination of a learni…