Vijay Kumar Mago

Orcid: 0000-0002-9741-3463

Affiliations:
  • Lakehead University, Thunder Bay, ON, Canada


According to our database1, Vijay Kumar Mago authored at least 100 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Clinical Insights: A Comprehensive Review of Language Models in Medicine.
CoRR, 2024

Narrating Causal Graphs with Large Language Models.
CoRR, 2024

Narrating Causal Graphs with Large Language Models.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Application of Operations Research methods in operating room scheduling - a short survey.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024

2023
The homophily principle in social network analysis: A survey.
Multim. Tools Appl., March, 2023

Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis.
Informatics, 2023

Towards FATE in AI for Social Media and Healthcare: A Systematic Review.
CoRR, 2023

NODDLE: Node2vec based deep learning model for link prediction.
CoRR, 2023

Assessing the Impact of Using Python to Teach Computational Thinking for Remote Schools in a Blended Learning Environment.
Proceedings of the Learning and Collaboration Technologies, 2023

A Survey on Technologies Used During out of Hospital Cardiac Arrest.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A framework for social media data analytics using Elasticsearch and Kibana.
Wirel. Networks, 2022

Birds of prey: identifying lexical irregularities in spam on Twitter.
Wirel. Networks, 2022

Studying topic engagement and synergy among candidates for 2020 US Elections.
Soc. Netw. Anal. Min., 2022

(Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment.
PeerJ Comput. Sci., 2022

An ethical visualization of the NorthCOVID-19 model.
PeerJ Comput. Sci., 2022

Resilience of political leaders and healthcare organizations during COVID-19.
PeerJ Comput. Sci., 2022

AEDNav: indoor navigation for locating automated external defibrillator.
BMC Medical Informatics Decis. Mak., 2022

BEAUT: An ExplainaBle Deep LEarning Model for Agent-Based PopUlations With Poor DaTa.
Knowl. Based Syst., 2022

Evolution of Semantic Similarity - A Survey.
ACM Comput. Surv., 2022

CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts.
CoRR, 2022

A Survey on Automated Sarcasm Detection on Twitter.
CoRR, 2022

CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Comparison of Moderated and Unmoderated Remote Usability Sessions for Web-Based Simulation Software: A Randomized Controlled Trial.
Proceedings of the Human-Computer Interaction. Theoretical Approaches and Design Methods, 2022

2021
A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time.
IEEE Trans. Comput. Soc. Syst., 2021

AdCOFE: Advanced Contextual Feature Extraction in conversations for emotion classification.
PeerJ Comput. Sci., 2021

Role of machine learning in medical research: A survey.
Comput. Sci. Rev., 2021

Automating Transfer Credit Assessment in Student Mobility - A Natural Language Processing-based Approach.
CoRR, 2021

Identifying health related occupations of Twitter users through word embedding and deep neural networks.
BMC Bioinform., 2021

Comparative Analysis of Word Embeddings in Assessing Semantic Similarity of Complex Sentences.
IEEE Access, 2021

ONSET: Opinion and Aspect Extraction System from Unlabelled Data.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Validating Optimal COVID-19 Vaccine Distribution Models.
Proceedings of the Computational Science - ICCS 2021, 2021

Predicting family physicians based on their practice using machine learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

How Many Costly Simulations Do we Need to Create Accurate Metamodels? A Case Study on Predicting HIV Viral Load in Response to Clinically Relevant Intervention Scenarios.
Proceedings of the Annual Modeling and Simulation Conference, 2021

Opportunities and Challenges in Developing COVID-19 Simulation Models: Lessons from Six Funded Projects.
Proceedings of the Annual Modeling and Simulation Conference, 2021

2020
A Framework for Automatic Categorization of Social Data Into Medical Domains.
IEEE Trans. Comput. Soc. Syst., 2020

Using Twitter for diabetes community analysis.
Netw. Model. Anal. Health Informatics Bioinform., 2020

Utilizing deep learning and graph mining to identify drug use on Twitter data.
BMC Medical Informatics Decis. Mak., 2020

SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest.
BMC Medical Informatics Decis. Mak., 2020

A supervised learning approach for heading detection.
Expert Syst. J. Knowl. Eng., 2020

Domain Specific Complex Sentence (DCSC) Semantic Similarity Dataset.
CoRR, 2020

TweetBERT: A Pretrained Language Representation Model for Twitter Text Analysis.
CoRR, 2020

The Homophily Principle in Social Network Analysis.
CoRR, 2020

A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards.
CoRR, 2020

Utilizing Deep Learning to Identify Drug Use on Twitter Data.
CoRR, 2020

Smart City Response to Homelessness.
IEEE Access, 2020

Simulating the Evolution of Homeless Populations in Canada Using Modified Deep Q-Learning (MDQL) and Modified Neural Fitted Q-Iteration (MNFQ) Algorithms.
IEEE Access, 2020

Testing the Causal Map Builder on Amazon Alexa.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Predicting The Resource Needs And Outcomes of Computationally Intensive Biological Simulations.
Proceedings of the Spring Simulation Conference, 2020

TentNet: Deep Learning Tent Detection Algorithm Using A Synthetic Training Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Graph Based Approach to Automate Essay Evaluation.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Determining Sufficient Volume of Data for Analysis with Statistical Framework.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
From associations to sarcasm: Mining the shift of opinions regarding the Supreme Court on twitter.
Online Soc. Networks Media, 2019

Challenging the Boundaries of Unsupervised Learning for Semantic Similarity.
IEEE Access, 2019

Syntactic, Semantic and Sentiment Analysis: The Joint Effect on Automated Essay Evaluation.
IEEE Access, 2019

Automating Articulation: Applying Natural Language Processing to Post-Secondary Credit Transfer.
IEEE Access, 2019

Pregnancy Health Monitoring System based on Biosignal Analysis.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Identifying and Allocating Resources during Out of Hospital Cardiac Arrest.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

From Social Media to Expert Reports: The Impact of Source Selection on Automatically Validating Complex Conceptual Models of Obesity.
Proceedings of the Social Computing and Social Media. Design, Human Behavior and Analytics, 2019

The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies.
Proceedings of the Augmented Cognition, 2019

Health-monitoring of pregnant women: Design requirements, and proposed reference architecture.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

Vertex-weighted measures for link prediction in hashtag graphs.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Analyzing use of Twitter by diabetes online community.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Are we on the same learning curve: Visualization of Semantic Similarity of Course Objectives.
CoRR, 2018

Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics.
CoRR, 2018

Calculating the similarity between words and sentences using a lexical database and corpus statistics.
CoRR, 2018

Extracting Learning Outcomes Using Machine Learning and White Space Analysis.
Proceedings of the 4th EAI International Conference on Smart Objects and Technologies for Social Good, 2018

2017
A new approach using mixed graphical model for automatic design of fuzzy cognitive maps from ordinal data.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

SafeRNet: Safe transportation routing in the era of Internet of vehicles and mobile crowd sensing.
Proceedings of the 14th IEEE Annual Consumer Communications & Networking Conference, 2017

2016
Combining association rule mining and network analysis for pharmacosurveillance.
J. Supercomput., 2016

Special Issue on Intelligent Healthcare Systems.
J. Intell. Syst., 2016

Finding Trendsetters on Yelp Dataset.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Teaching Computational Modeling in the Data Science Era.
Proceedings of the International Conference on Computational Science 2016, 2016

Building a Cardiovascular Disease predictive model using Structural Equation Model & Fuzzy Cognitive Map.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Exploring the Relationship between Adherence to Treatment and Viral Load through a New Discrete Simulation Model of HIV Infectivity.
Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation, London, United Kingdom, June 10, 2015

A Multi-agent Based System for Route Planning.
Proceedings of the Human Interface and the Management of Information. Information and Knowledge Design, 2015

A Novel Agent Based Method for Intelligent Public Transportation System.
Proceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2015

Gradient: A User-Centric Lightweight Smartphone Based Standalone Fall Detection System.
Proceedings of the Progress in Artificial Intelligence, 2015

2014
Youth Gang Formation: Basic Instinct or Something Else?
Proceedings of the Theories and Simulations of Complex Social Systems, 2014

Determining the 'Fault Zone' of Fall Events in Long Term Care.
Proceedings of the Computational Models of Complex Systems, 2014

Employing Fuzzy Cognitive Map for Periodontal Disease Assessment.
Proceedings of the Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014

Computational Models of Complex Systems: An Introduction.
Proceedings of the Computational Models of Complex Systems, 2014

Introducing Theories and Simulations of Complex Social Systems.
Proceedings of the Theories and Simulations of Complex Social Systems, 2014

The strongest does not attract all but it does attract the most - evaluating the criminal attractiveness of shopping malls using fuzzy logic.
Expert Syst. J. Knowl. Eng., 2014

Use of soft computing techniques in medical decision making: A survey.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013
Analyzing the impact of social factors on homelessness: a Fuzzy Cognitive Map approach.
BMC Medical Informatics Decis. Mak., 2013

2012
Supporting meningitis diagnosis amongst infants and children through the use of fuzzy cognitive mapping.
BMC Medical Informatics Decis. Mak., 2012

Clinical decision support system for dental treatment.
J. Comput. Sci., 2012

Fuzzy cognitive maps and cellular automata: An evolutionary approach for social systems modelling.
Appl. Soft Comput., 2012

A fuzzy cognitive map of the psychosocial determinants of obesity.
Appl. Soft Comput., 2012

Rebel with many causes: A computational model of insurgency.
Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 2012

2010
An Influence Diagram-Based Approach for Estimating Staff Training in Software Industry
CoRR, 2010

2008
A Decision Making System for the Treatment of Dental Caries.
Proceedings of the Soft Computing Applications in Business, 2008

MaST: A Tool for Aiding the Staff Training Management by Using Influence Diagrams.
Proceedings of the International Conference on Software Engineering Theory and Practice, 2008

Formalizing the Protocols for a Multi Agent Healthcare System.
Proceedings of the International Conference on Enterprise Information Systems and Web Technologies, 2008

2007
A Multi-Agent Medical System for Indian Rural Infant and Child Care.
Proceedings of the IJCAI 2007, 2007

Decision Making System: Agent Diagnosing Child Care Diseases.
Proceedings of the Multi-Agent Systems and Applications V, 2007

Decision Making System Based on Bayesian Network for an Agent Diagnosing Child Care Diseases.
Proceedings of the Knowledge Management for Health Care Procedures, 2007


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