Abyayananda Maiti

According to our database, Abyayananda Maiti authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Randomized ϵ-RANKING Algorithm for Online Trichromatic Matching.

Komal Pandya, Abyayananda Maiti

IEEE Access, 2024

2023

WSAGrad: a novel adaptive gradient based method.

Krutika Verma, Abyayananda Maiti

Appl. Intell., June, 2023

Formal verification of the pub-sub blockchain interoperability protocol using stochastic timed automata.

Md Tauseef Alam, Raju Halder, Abyayananda Maiti

Frontiers Blockchain, 2023

2022

Rating Prediction With Review Network Feedback: A New Direction in Recommendation.

Supriyo Mandal, Abyayananda Maiti

IEEE Trans. Comput. Soc. Syst., 2022

Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector.

Supriyo Mandal, Abyayananda Maiti

Electron. Mark., 2022

FusionDeepMF: A Dual Embedding based Deep Fusion Model for Recommendation.

Supriyo Mandal, Abyayananda Maiti

CoRR, 2022

Heterogeneous Trust-based Social Recommendation via Reliable and Informative Motif-based Attention.

Supriyo Mandal, Abyayananda Maiti

Proceedings of the International Joint Conference on Neural Networks, 2022

SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts.

Supriya Shakya, Arnab Mukherjee, Raju Halder, Abyayananda Maiti, Amrita Chaturvedi

Proceedings of the IEEE International Conference on Blockchain, 2022

2021

Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation.

Supriyo Mandal, Abyayananda Maiti

Appl. Intell., 2021

Graph Neural Networks for Heterogeneous Trust based Social Recommendation.

Supriyo Mandal, Abyayananda Maiti

Proceedings of the International Joint Conference on Neural Networks, 2021

Blockchain Domain-Specific Languages: Survey, Classification, and Comparison.

Md Tauseef Alam, Sujit Chowdhury, Raju Halder, Abyayananda Maiti

Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

2020

Explicit feedback meet with implicit feedback in GPMF: a generalized probabilistic matrix factorization model for recommendation.

Supriyo Mandal, Abyayananda Maiti

Appl. Intell., 2020

2019

Investigating Saturation in Collaboration and Cohesiveness of Wikipedia Using Motifs Analysis.

Anita Chandra, Abyayananda Maiti

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

Social Promoter Score (SPS) and Review Network: A Method and a Tool for Predicting Financial Health of an Online Shopping Brand.

Supriyo Mandal, Abyayananda Maiti

CoRR, 2018

Modeling New and Old Editors' Behaviors in Different Languages of Wikipedia.

Anita Chandra, Abyayananda Maiti

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Explicit Feedbacks Meet with Implicit Feedbacks: A Combined Approach for Recommendation System.

Supriyo Mandal, Abyayananda Maiti

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

How Fair Is Your Network to New and Old Objects?: A Modeling of Object Selection in Web Based User-Object Networks.

Anita Chandra, Himanshu Garg, Abyayananda Maiti

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Investigating selection behavior of new and old users in online emerging user-object networks.

Anita Chandra, Himanshu Garg, Abyayananda Maiti

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2015

The Frequent Items Problem in Online Streaming Under Various Performance Measures.

Joan Boyar, Kim S. Larsen, Abyayananda Maiti

Int. J. Found. Comput. Sci., 2015

2014

A comparison of performance measures via online search.

Joan Boyar, Kim S. Larsen, Abyayananda Maiti

Theor. Comput. Sci., 2014