Vikas Kumar | DeepAI

DeepAI AI Chat

Featured Co-authors

Qi Zhang
242 publications
Zhiguo Ding
89 publications
Daniel Kifer
46 publications
Ertugrul Basar
39 publications
Ming Yuan
27 publications
Li Yu
27 publications
Ankur Mali
22 publications
Daniel Benevides da Costa
19 publications
Ashish Singh
9 publications
Vineet Padmanabhan
8 publications
Arun K Pujari
8 publications

∙ 09/15/2023

Lattice attack on group ring NTRU: The case of the dihedral group

Group ring NTRU (GR-NTRU) provides a general structure to design differe...

0 Vikas Kumar, et al. ∙

∙ 08/08/2023

UniRecSys: A Unified Framework for Personalized, Group, Package, and Package-to-Group Recommendations

Recommender systems aim to enhance the overall user experience by provid...

0 Adamya Shyam, et al. ∙

∙ 07/22/2023

Conformal Group Recommender System

Group recommender systems (GRS) are critical in discovering relevant ite...

0 Venkateswara Rao Kagita, et al. ∙

∙ 07/04/2023

A Bibliographic Study on Artificial Intelligence Research: Global Panorama and Indian Appearance

The present study identifies and assesses the bibliographic trend in Art...

0 Amit Tiwari, et al. ∙

∙ 06/24/2023

Cross-domain Recommender Systems via Multimodal Domain Adaptation

Collaborative Filtering (CF) has emerged as one of the most prominent im...

0 Ramya Kamani, et al. ∙

∙ 06/22/2023

Data augmentation for recommender system: A semi-supervised approach using maximum margin matrix factorization

Collaborative filtering (CF) has become a popular method for developing ...

0 Shamal Shaikh, et al. ∙

∙ 06/16/2023

I Want This, Not That: Personalized Summarization of Scientific Scholarly Texts

In this paper, we present a proposal for an unsupervised algorithm, P-Su...

0 Vasudha Bhatnagar, et al. ∙

∙ 03/26/2022

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data

Recommender systems based on collaborative filtering play a vital role i...

0 Sowmini Devi Veeramachaneni, et al. ∙

∙ 09/18/2021

Inductive Conformal Recommender System

Traditional recommendation algorithms develop techniques that can help p...

0 Venkateswara Rao Kagita, et al. ∙

∙ 09/15/2021

Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading

The advantage of computational resources in edge computing near the data...

0 Mithun Mukherjee, et al. ∙

∙ 08/02/2021

A Hinge-Loss based Codebook Transfer for Cross-Domain Recommendation with Nonoverlapping Data

Recommender systems(RS), especially collaborative filtering(CF) based RS...

0 Sowmini Devi Veeramachaneni, et al. ∙

∙ 05/13/2021

The Interplay of Reconfigurable Intelligent Surfaces and Mobile Edge Computing in Future Wireless Networks: A Win-Win Strategy to 6G

Reconfigurable intelligent surface (RIS)-empowered communication is bein...

0 Mithun Mukherjee, et al. ∙

∙ 04/19/2021

OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas

Given a single RGB panorama, the goal of 3D layout reconstruction is to ...

0 Shivansh Rao, et al. ∙

∙ 04/15/2021

Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management

Prediction of diabetes and its various complications has been studied in...

0 Aloysius Lim, et al. ∙

∙ 02/07/2021

Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare

Fairness in AI and machine learning systems has become a fundamental pro...

0 Ming Yuan, et al. ∙

∙ 02/06/2021

Emergency Department Optimization and Load Prediction in Hospitals

Over the past several years, across the globe, there has been an increas...

0 Karthik K. Padthe, et al. ∙

∙ 08/06/2020

Noisy Student Training using Body Language Dataset Improves Facial Expression Recognition

Facial expression recognition from videos in the wild is a challenging t...

1 Vikas Kumar, et al. ∙

∙ 07/23/2019

Collaborative Filtering and Multi-Label Classification with Matrix Factorization

Machine learning techniques for Recommendation System (RS) and Classific...

0 Vikas Kumar, et al. ∙

∙ 07/17/2019

Block based Singular Value Decomposition approach to matrix factorization for recommender systems

With the abundance of data in recent years, interesting challenges are p...

0 Prasad Bhavana, et al. ∙

∙ 01/29/2019

Committee Selection with Attribute Level Preferences

Approval ballot based committee formation is concerned with aggregating ...

0 Venkateswara Rao Kagita, et al. ∙

∙ 12/24/2018

Group Preserving Label Embedding for Multi-Label Classification

Multi-label learning is concerned with the classification of data with m...

16 Vikas Kumar, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world