Shadi Banitaan
Orcid: 0000-0003-2531-2505
According to our database1,
Shadi Banitaan
authored at least 48 papers
between 2010 and 2024.
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Bibliography
2024
Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data.
Sustain. Comput. Informatics Syst., 2024
Pedestrian Group Re-Identification and Trajectory Prediction Through Zone-Based Clustering.
IEEE Access, 2024
Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California.
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
2023
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques.
Ecol. Informatics, July, 2023
IEEE Access, 2023
State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022
2021
Automatic identification of Chagas disease vectors using data mining and deep learning techniques.
Ecol. Informatics, 2021
Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Transformed <i>k</i>-nearest neighborhood output distance minimization for predicting the defect density of software projects.
J. Syst. Softw., 2020
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020
Shared Images in A Connected-Vehicle Network Registration System Using Harris-Stephens Approach.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020
2019
CoRR, 2019
Predicting Daily Activities Effectiveness Using Base-level and Meta level Classifiers.
Proceedings of the 7th International Symposium on Digital Forensics and Security, 2019
2018
Comparative analysis of soft computing techniques for predicting software effort based use case points.
IET Softw., 2018
CoRR, 2018
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
2017
Motivations for using social media: comparative study based on cultural differences between American and Jordanian students.
Int. J. Soc. Media Interact. Learn. Environ., 2017
Support Vector Regression for Predicting the Enhancement Duration of Software Projects.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Neural Comput. Appl., 2016
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.
Neural Comput. Appl., 2016
Int. J. Oper. Res. Inf. Syst., 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
An Application of Classification and Class Decomposition to Use Case Point Estimation Method.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Towards Test Focus Selection for Integration Testing Using Method Level Software Metrics.
Proceedings of the Tenth International Conference on Information Technology: New Generations, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the Third International Conference on Communications and Information Technology, 2013
2011
Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the ACM International Conference on Bioinformatics, 2011
2010
A formal study of classification techniques on entity discovery and their application to opinion mining.
Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010