Shadi Banitaan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Convolutional Neural Network

Nearest Neighborhood

Software Projects

Top Venues

Publications

Ahlam Al Mohammad, Daniel Marku, John Reedy, Stephen Reedy, Mina Maleki, Shadi Banitaan
Enhancing Indoor Positioning of Wireless Access Points using RSSI Fingerprints. EIT (2024)
Mingzuoyang Chen, Shadi Banitaan, Mina Maleki
Pedestrian Group Re-Identification and Trajectory Prediction Through Zone-Based Clustering. IEEE Access 12 (2024)
Benyamain Yacoob, Ethan Scheys, Eyiara Oladipo, Andre Price, Shadi Banitaan
Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California. EIT (2024)
Rahul Oad, Ali Irtaza Sayani, Shadi Banitaan
Predicting Severity of US Traffic Accidents: A Machine Learning Approach. EIT (2024)
Mingzuoyang Chen, Shadi Banitaan, Mina Maleki
Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering. IEEE Access 11 (2023)
Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots. ICPRAM (2023)
Ziba Parsons, Shadi Banitaan
Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques. Ecol. Informatics 75 (2023)
Bassam A. Abdelghani, Sophia Fadal, Shadi Bedoor, Shadi Banitaan
Prediction of Heart Attacks using Data Mining Techniques. ICMLA (2022)
Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li
Pedestrian Group Detection with K-Means and DBSCAN Clustering Methods. EIT (2022)
Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li
GDSCAN: Pedestrian Group Detection using Dynamic Epsilon. ICMLA (2022)
Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques. EIT (2022)
Bassam A. Abdelghani, Mina Maleki, Shadi Banitaan, Amna Mazen
Occupancy Detection based on WI-FI SysLog Data. ICMLA (2022)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA (2022)
Hebah Alquran, Shadi Banitaan
Fake News Detection in Social Networks Using Data Mining Techniques. AIIoT (2022)
Zeinab Parsons, Shadi Banitaan
Automatic identification of Chagas disease vectors using data mining and deep learning techniques. Ecol. Informatics 62 (2021)
Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods. ICMLA (2021)
Bassam A. Abdelghani, Shadi Banitaan, Mina Maleki, Amna Mazen
Kissing Bugs Identification Using Convolutional Neural Network. IEEE Access 9 (2021)
Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167 (2020)
Jordan Yono, Antonio Segura, Yongqiang Sun, Shadi Banitaan
Machine Learning Techniques to Evaluate Whether Twitter Accounts Are Human or Robot. EIT (2020)
Zeinab Ghasemi, Shadi Banitaan, Ghaith Al-Refai
Automated Chagas Disease Vectors Identification using Data Mining Techniques. EIT (2020)
Ghaith Al-Refai, Mohammed Al-Refai, Shadi Banitaan, Zeinab Ghasemi
Shared Images in A Connected-Vehicle Network Registration System Using Harris-Stephens Approach. EIT (2020)
Mohammed Akour, Shadi Banitaan, Hiba Alsghaier, Khalid Al Radaideh
Predicting Daily Activities Effectiveness Using Base-level and Meta level Classifiers. ISDFS (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA (2018)
Mamdouh Alenezi, Shadi Banitaan, Mohammad Zarour
Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports. CoRR (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Softw. 12 (1) (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR (2017)
Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
Robust Rank Aggregation method for Case-Base effort estimation. CCECE (2017)
Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez
Support Vector Regression for Predicting the Enhancement Duration of Software Projects. ICMLA (2017)
Shadi Banitaan, Kendall E. Nygard, Kenneth Magel
Test Focus Selection for Integration Testing. Int. J. Softw. Eng. Knowl. Eng. 27 (8) (2017)
Heba Al-Quraan, Emad Abu-Shanab, Shadi Banitaan, Heyam Al-Tarawneh
Motivations for using social media: comparative study based on cultural differences between American and Jordanian students. Int. J. Soc. Media Interact. Learn. Environ. 5 (1) (2017)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. Neural Comput. Appl. 27 (8) (2016)
Iyad Alazzam, Mohammed Akour, Shadi Banitaan, Feras Hanandeh
Feature-Based Test Focus Selection Technique Using Classes Connections Weight. Int. J. Oper. Res. Inf. Syst. 7 (1) (2016)
Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif
User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA (2016)
Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. 27 (8) (2016)
Shadi Banitaan, Ali Bou Nassif, Mohammad Azzeh
Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA (2015)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA (2015)
Ali Bou Nassif, Shadi Banitaan
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. ICMLA (2014)
Mamdouh Alenezi, Shadi Banitaan
Bug Reports Prioritization: Which Features and Classifier to Use? ICMLA (2) (2013)
Shadi Banitaan, Mamdouh Alenezi
TRAM: An approach for assigning bug reports using their Metadata. ICCIT (2013)
Mamdouh Alenezi, Kenneth Magel, Shadi Banitaan
Efficient Bug Triaging Using Text Mining. J. Softw. 8 (9) (2013)
Shadi Banitaan, Mamdouh Alenezi
DECOBA: Utilizing Developers Communities in Bug Assignment. ICMLA (2) (2013)
Shadi Banitaan, Mamdouh Alenezi, Kendall E. Nygard, Kenneth Magel
Towards Test Focus Selection for Integration Testing Using Method Level Software Metrics. ITNG (2013)
Ibrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin, Saeed Salem
Selecting discriminating terms for bug assignment: a formal analysis. PROMISE (2011)
Saeed Salem, Shadi Banitaan, Ibrahim Aljarah, James E. Brewer, Rami Alroobi
Discovering Communities in Social Networks Using Topology and Attributes. ICMLA (1) (2011)
Saeed Salem, Loqmane Seridi, Rami Alroobi, James E. Brewer, Shadi Banitaan, Ibrahim Aljarah
CLARM: an integrative approach for functional modules discovery. BCB (2011)
Shadi Banitaan, Saeed Salem, Wei Jin, Ibrahim Aljarah
A formal study of classification techniques on entity discovery and their application to opinion mining. SMUC@CIKM (2010)