activity
20182023
most citedTBAM: Towards An Agent-Based Model to Enrich Twitter Data

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SI2023★ 2 cited

TBAM: Towards An Agent-Based Model to Enrich Twitter Data

Usman Anjum, Vladimir Zadorozhny, Prashant Krishnamurthy

Twitter (one example of microblogging) is widely being used by researchers to understand human behavior, specifically how people behave when a significant event occurs and how it c…

cs.CL2021

A Relational Tsetlin Machine with Applications to Natural Language Understanding

Rupsa Saha, Ole-Christoffer Granmo, Vladimir I. Zadorozhny +1

TMs are a pattern recognition approach that uses finite state machines for learning and propositional logic to represent patterns. In addition to being natively interpretable, they…

cs.SI2020★ 1 cited

FaNDS: Fake News Detection System Using Energy Flow

Jiawei Xu, Vladimir Zadorozhny, Danchen Zhang +1

Recently, the term "fake news" has been broadly and extensively utilized for disinformation, misinformation, hoaxes, propaganda, satire, rumors, click-bait, and junk news. It has b…

stat.ML2018

Process Discovery using Classification Tree Hidden Semi-Markov Model

Yihuang Kang, Vladimir Zadorozhny

Various and ubiquitous information systems are being used in monitoring, exchanging, and collecting information. These systems are generating massive amount of event sequence logs…

stat.ML2018

Process Monitoring Using Maximum Sequence Divergence

Yihuang Kang, Vladimir Zadorozhny

Process Monitoring involves tracking a system's behaviors, evaluating the current state of the system, and discovering interesting events that require immediate actions. In this pa…