| Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity X Jiang, M Coffee, A Bari, J Wang, X Jiang, J Huang, J Shi, J Dai, J Cai, ... Computers, Materials & Continua 63 (1), 537-551, 2020 | 501 | 2020 |
| Predictive analytics for dummies A Bari, M Chaouchi, T Jung John Wiley & Sons, 2016 | 73 | 2016 |
| Flock by leader: a novel machine learning biologically inspired clustering algorithm A Bellaachia, A Bari Advances in Swarm Intelligence: Third International Conference, ICSI 2012 …, 2012 | 30 | 2012 |
| Exploring coronavirus disease 2019 vaccine hesitancy on Twitter using sentiment analysis and natural language processing algorithms A Bari, M Heymann, RJ Cohen, R Zhao, L Szabo, S Apas Vasandani, ... Clinical Infectious Diseases 74 (Supplement_3), e4-e9, 2022 | 21 | 2022 |
| COVID-19 early-alert signals using human behavior alternative data A Bari, A Khubchandani, J Wang, M Heymann, M Coffee Social Network Analysis and Mining 11, 1-17, 2021 | 15 | 2021 |
| Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity. Computers, Materials\& Continua. 2020; 63 (1) X Jiang, M Coffee, A Bari, J Wang, X Jiang, J Huang, J Shi, J Dai, J Cai, ... | 15 | 2020 |
| SFLOSCAN: A biologically-inspired data mining framework for community identification in dynamic social networks A Bellaachia, A Bari 2011 IEEE Symposium on Swarm Intelligence, 1-8, 2011 | 13 | 2011 |
| A predictive analytics framework to anomaly detection J Wang, RM de Moraes, A Bari 2020 IEEE Sixth International Conference on Big Data Computing Service and …, 2020 | 12 | 2020 |
| A flocking based data mining algorithm for detecting outliers in cancer gene expression microarray data A Bellaachia, A Bari 2012 International Conference on Information Retrieval & Knowledge …, 2012 | 12 | 2012 |
| Análise Preditiva para leigos A Bari, M Chaouchi, T Jung | 11 | 2019 |
| Emotion artificial intelligence derived from ensemble learning A Bari, G Saatcioglu 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 11 | 2018 |
| Predicting financial markets using the wisdom of crowds A Bari, P Peidaee, A Khera, J Zhu, H Chen 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 334-340, 2019 | 10 | 2019 |
| Gkb: A predictive analytics framework to generate online product recommendations N Greenquist, D Kilitcioglu, A Bari 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA), 414-419, 2019 | 5 | 2019 |
| Restaurant health inspections and crime statistics predict the real estate market in New York City RM Moraes, A Bari, J Zhu Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 3 | 2019 |
| Pyrorank: A Novel Nature-Inspired Algorithm to Promote Diversity in Recommender Systems D Kilitcioglu, N Greenquist, A Bari International Conference on Swarm Intelligence, 139-155, 2023 | 2 | 2023 |
| Using artificial intelligence to predict legislative votes in the united states congress A Bari, W Brower, C Davidson 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), 56-60, 2021 | 2 | 2021 |
| Swarm Intelligence Algorithms and Applications: An Experimental Survey A Bari, R Zhao, JS Pothineni, D Saravanan International Conference on Swarm Intelligence, 3-17, 2023 | 1 | 2023 |
| GPU accelerated matrix factorization for recommender systems D Kilitcioglu, N Greenquist, M Zahran, A Bari 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA), 272-281, 2021 | 1 | 2021 |
| Determinants of Global Hunger Index S Panigrahi, S Rout, A Bari 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | | 2023 |
| Applying Predictive Analytics to Climate Change: Predicting Temperature Rise Using Human Behavior Alternative Data D Saravanan, JS Pothineni, A Bari 2023 10th IEEE Swiss Conference on Data Science (SDS), 89-96, 2023 | | 2023 |
