New Fast Algorithm for Incremental Mining of Association Rules. - Yasser El-Sonbaty; Rasha Kashef 001 (ICEIS (1), 2004)

Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis. - Rasha F. Kashef; Mohamed S. Kamel (BIBE, 2007)

Hard-fuzzy clustering: A cooperative approach. - Rasha F. Kashef; Mohamed S. Kamel (SMC, 2007)

Towards Better Outliers Detection for Gene Expression Datasets. - Rasha F. Kashef; Mohamed S. Kamel (BIOTECHNO, 2008)

Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets. - Rasha F. Kashef; Mohamed S. Kamel (CIBCB, 2008)

Efficient Bisecting k-Medoids and Its Application in Gene Expression Analysis. - Rasha F. Kashef; Mohamed S. Kamel (ICIAR, 2008)

Cooperative Clustering Model and Its Applications. - Rasha F. Kashef (2008)

Enhanced bisecting k-means clustering using intermediate cooperation. - Rasha F. Kashef; Mohamed S. Kamel (Pattern Recognit., 2009)

Cooperative clustering. - Rasha F. Kashef; Mohamed S. Kamel (Pattern Recognit., 2010)

A simulation model for a continuous review inventory policy for healthcare systems. - Nidarsha Attanayake; Rasha F. Kashef; Tariq Andrea (CCECE, 2014)

Cooperative based software clustering on dependency graphs. - Ahmed F. Ibrahim; Derek Rayside; Rasha Kashef 001 (CCECE, 2014)

Handling Large-Scale Data using Two-Tier Hierarchical Super-Peer P2P Network. - Rasha Kashef 001; Akshat Niranjan (BDIOT, 2017)

Ensemble-Based Anomaly Detetction using Cooperative Learning. - Rasha F. Kashef (ADF@KDD, 2017)

Predicting the closing price of cryptocurrencies: a comparative study. - Xue Tan; Rasha Kashef 001 (DATA, 2019)

Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model. - Ahmed F. Ibrahim; Liam Corrigan; Rasha Kashef 001 (CCECE, 2020)

Efficient Prediction of Gold Prices Using Hybrid Deep Learning. - Turner Tobin; Rasha Kashef 001 (ICIAR (2), 2020)

Efficient Detection of Shilling's Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models. - Mahsa Ebrahimian; Rasha Kashef 001 (IEEM, 2020)

Business Applications for Current Developments in Big Data Clustering: An Overview. - Glendon Hass; Parker Simon; Rasha Kashef 001 (IEEM, 2020)

Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model. - Hani A. Aldhubaib; Rasha Kashef 001 (IEEE Access, 2020)

Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context. - Rasha Kashef 001 (IEEE Access, 2020)

Multi-Level Clustering-Based Outlier's Detection (MCOD) Using Self-Organizing Maps. - Menglu Li; Rasha Kashef 001; Ahmed F. Ibrahim (Big Data Cogn. Comput., 2020)

A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19. - Toni Pano; Rasha Kashef 001 (Big Data Cogn. Comput., 2020)

Detecting Shilling Attacks Using Hybrid Deep Learning Models. - Mahsa Ebrahimian; Rasha Kashef 001 (Symmetry, 2020)

A CNN-based Hybrid Model and Architecture for Shilling Attack Detection. - Mahsa Ebrahimian; Rasha Kashef 001 (CCECE, 2021)

Malicious Network Traffic Detection in IoT Environments Using A Multi-level Neural Network. - Menglu Li; Eleonora Achiluzzi; Md Fahd Al Georgy; Rasha Kashef 001 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Network Flow Classification and Volume Prediction using Novel Ensemble Deep Learning Architectures in the Era of the Internet of Things (IoT). - Yoga Suhas Kuruba Manjunath; Vakar Kohli; Salman Ghaffar; Rasha Kashef 001 (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Detecting Overlapping Communities in Social Networks Using A Modified Segmentation by Weighted Aggregation Approach. - Rasha F. Kashef (DATA, 2021)

IoT Cyber-Attack Detection: A Comparative Analysis. - Abdul Hanan K. Mohammed; Hrag-Harout Jebamikyous; Dina Nawara; Rasha F. Kashef (DATA, 2021)

Deep Learning-Based Semantic Segmentation in Autonomous Driving. - Hrag-Harout Jebamikyous; Rasha Kashef 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Efficient Comorbidity Analysis in Brain Disorders Reveals Better Diagnosis. - Menglu Li; Maryam Amirizaniani; Rasha Kashef 001 (HPCC/DSS/SmartCity/DependSys, 2021)

A Comprehensive Overview on IoT-Based Smart Stroke Rehabilitation Using the Advances of Wearable Technology. - Najmeh Razfar; Rasha Kashef 001; Farah Mohammadi 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Assessing Stroke Patients Movements Using Inertial Measurements Through the Advances of Ensemble Learning Technology. - Najmeh Razfar; Rasha Kashef 001; Farah Mohammadi 001 (HPCC/DSS/SmartCity/DependSys, 2021)

Bottleneck Analysis in JFK Using Discrete Event Simulation: An Airport Queuing Model. - Joseph Lai; Leslie Che; Rasha Kashef 001 (ISC2, 2021)

Deep Learning Vs. Machine Learning in Predicting the Future Trend of Stock Market Prices. - Alireza Ghasemieh; Rasha Kashef 001 (SMC, 2021)

Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models. - Farzana Alam; Rasha Kashef 001; Muhammad Jaseemuddin (SysCon, 2021)

Deploying Different Clustering Techniques on a Collaborative-based Movie Recommender. - Dina Nawara; Rasha Kashef 001 (SysCon, 2021)

Efficient Traffic Classification Using Hybrid Deep Learning. - Farnaz Sarhangian; Rasha Kashef 001; Muhammad Jaseemuddin (SysCon, 2021)

Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)-A Comprehensive Overview. - Dina Nawara; Rasha F. Kashef (IEEE Access, 2021)

Predicting market movement direction for bitcoin: A comparison of time series modeling methods. - Ahmed F. Ibrahim; Rasha Kashef 001; Liam Corrigan (Comput. Electr. Eng., 2021)

IoT Analytics and Blockchain. - Abbas Saleminezhadl; Manuel Remmele; Ravikumar Chaudhari; Rasha Kashef 001 (CoRR, 2021)

Distributed clustering using multi-tier hierarchical overlay super-peer peer-to-peer network architecture for efficient customer segmentation. - Yoga Suhas Kuruba Manjunath; Rasha F. Kashef (Electron. Commer. Res. Appl., 2021)

A boosted SVM classifier trained by incremental learning and decremental unlearning approach. - Rasha Kashef 001 (Expert Syst. Appl., 2021)

IoT text analytics in smart education and beyond. - Abdul Hanan K. Mohammed; Hrag-Harout Jebamikyous; Dina Nawara; Rasha F. Kashef (J. Comput. High. Educ., 2021)

Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism. - Kashaf Masood; Rasha F. Kashef (AIME, 2022)

Early Detection of Heart Disease Using Advances of Machine Learning for Large-Scale Patient Datasets. - Syed Ammad Ali Shah; Ayat Hama Saleh; Mahsa Ebrahimian; Rasha Kashef 001 (CCECE, 2022)

A Stable Generative Adversarial Network Architecture for Network Intrusion Detection. - Raha Soleymanzadeh; Rasha F. Kashef (CSR, 2022)

The Future Roadmap for Cyber-attack Detection. - Raha Soleymanzadeh; Rasha Kashef 001 (CSP, 2022)

Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model. - Thong Vo; Pranjal Dave; Gaurav Bajpai; Rasha Kashef 001; Naimul Khan 001 (ICDH, 2022)

Enhanced RecycleNet for Efficient Waste Classification. - Bhagawat Adhikari; Raj Kumar Ranabhat; Mohammad Mizanur Rahman; Rasha Kashef 001 (ISCMI, 2022)

The Analysis of the Generator Architectures and Loss Functions in Improving the Stability of GANs Training towards Efficient Intrusion Detection. - Raha Soleymanzadeh; Rasha F. Kashef (ISCMI, 2022)

A Robust Deep Learning Model for Predicting the Trend of Stock Market Prices During Market Crash Periods. - Alireza Ghasemieh; Rasha Kashef 001 (SysCon, 2022)

Context-Aware Recommendation Systems Using Consensus-Clustering. - Dina Nawara; Rasha F. Kashef (SysCon, 2022)

Autonomous Vehicles Perception (AVP) Using Deep Learning: Modeling, Assessment, and Challenges. - Hrag-Harout Jebamikyous; Rasha Kashef 001 (IEEE Access, 2022)

ECNN: Enhanced convolutional neural network for efficient diagnosis of autism spectrum disorder. - Rasha Kashef 001 (Cogn. Syst. Res., 2022)

The Impact of IT Projects Complexity on Cost Overruns and Schedule Delays. - Mahta Taghi Zadeh; Rasha Kashef 001 (CoRR, 2022)

Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications. - Thong Vo; Pranjal Dave; Gaurav Bajpai; Rasha Kashef 001 (CoRR, 2022)

Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models. - Saad Emshagin; Wayes Koroni Halim; Rasha Kashef 001 (CoRR, 2022)

Predicting l-CrossSold products using connected components: A clustering-based recommendation system. - Rasha F. Kashef; Hubert Pun (Electron. Commer. Res. Appl., 2022)

Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships. - Haifeng Xu; Rasha F. Kashef; Hans De Sterck; Geoffrey Sanders (INFORMS J. Comput., 2022)

E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model. - Mustafa Aljasim; Rasha Kashef 001 (Sensors, 2022)

Deep Learning for LiDAR Point Cloud Classification in Remote Sensing. - Ahmed Diab; Rasha Kashef 001; Ahmed Shaker (Sensors, 2022)

Forecasting The Price of the Flight Tickets using A Novel Hybrid Learning model. - Rasha F. Kashef (AIIoT, 2023)

Identification of IoT Devices Using A Multiple Transformers Single Estimator (MTSE) Learning Pipeline. - Gwen Xiao; Rasha Kashef 001 (AIIoT, 2023)

ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection. - Ahmed Aly; Dina Nawara; Rasha F. Kashef (ASONAM, 2023)

Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach. - Muhammad Musa K. Abid Hussain; Muhammad Jaseemuddin; Rasha Kashef 001 (CCECE, 2023)

Traffic Collision Detection Using DenseNet. - Daniel Kaluza; Marco Seiler; Rasha F. Kashef (IEEM, 2023)

Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. - Rasha Kashef 001; Monika Freunek; Jeff Schwartzentruber; Reza Samavi; Burcu Bulgurcu; A. J. Khan; Marcus Santos (SecDev, 2023)

Counterfeit Detection in the e-Commerce Industry Using Machine Learning: A Review. - Jay Gohil; Rasha F. Kashef (SysCon, 2023)

Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment. - Eleonora Achiluzzi; Menglu Li; Md Fahd Al Georgy; Rasha F. Kashef (CoRR, 2023)

Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions. - Hardik Sharma; Rajat Garg; Harshini Sewani; Rasha Kashef 001 (CoRR, 2023)

Leveraging machine learning and blockchain in E-commerce and beyond: benefits, models, and application. - Hrag-Harout Jebamikyous; Menglu Li; Yoga Suhas Kuruba Manjunath; Rasha Kashef 001 (Discov. Artif. Intell., 2023)

IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment. - Philipp Schmid; Alisa Schaffhäuser; Rasha Kashef 001 (Inf., 2023)

Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets. - Najmeh Razfar; Rasha Kashef 001; Farah Mohammadi 001 (Sensors, 2023)

Efficient intrusion detection using multi-player generative adversarial networks (GANs): an ensemble-based deep learning architecture. - Raha Soleymanzadeh; Rasha F. Kashef (Neural Comput. Appl., 2023)

TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection. - Hoang Nguyen; Rasha F. Kashef (Knowl. Based Syst., 2023)

An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods. - Alireza Ghasemieh; Rasha Kashef 001 (Appl. Intell., 2023)

Network Intrusion Detection Using a Stacking of AI-driven Models with Sampling. - Samar AboulEla; Rasha F. Kashef (AIIoT, 2024)

Automated Waste Management using a Customized Vision-based Transformer Model. - Rasha Kashef 001; Edwin P. Alegre; Tasnim Prova; Sakshi Aggarwal (AIIoT, 2024)

GraphAush: Combining Adversarial Learning and Graph Embedding for a Novel Shilling Attack Model Towards Robust Recommender Systems. - Clayton Barnett; Rasha Kashef 001 (BDCAT, 2024)

Deep Learning Models in Simulating and Analyzing Smart Grid Stability and Resilience. - Jeffrey Rezazadah; Rasha Kashef 001 (BDCAT, 2024)

Improved Vehicular Congestion Classification using Machine Learning for VANETs. - Syed Ammad Ali Shah; Xavier Fernando 001; Rasha F. Kashef (SysCon, 2024)

Towards explainable artificial intelligence in deep vision-based odometry. - Alireza Ghasemieh; Rasha F. Kashef (Comput. Electr. Eng., 2024)

A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges. - Nourhan Ibrahim; Samar AboulEla; Ahmed F. Ibrahim; Rasha F. Kashef (Discov. Artif. Intell., 2024)

MCARS-CC: A Salable Multicontext-Aware Recommender System. - Dina Nawara; Rasha F. Kashef (IEEE Trans. Comput. Soc. Syst., 2024)

A Weighted Stacking Ensemble Model With Sampling for Fake Reviews Detection. - Rahul Singhal; Rasha F. Kashef (IEEE Trans. Comput. Soc. Syst., 2024)

PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment. - Najmeh Razfar; Rasha Kashef 001; Farah Mohammadi 001 (Sensors, 2024)

Enhancing Iot Intrusion Detection With Transformer-Based Network Traffic Classification. - Samar AboulEla; Rasha Kashef 001 (SysCon, 2025)

Exploring RAG Solutions to Reduce Hallucinations in LLMs. - Samar AboulEla; Paria Zabihitari; Nourhan Ibrahim; Majid Afshar; Rasha F. Kashef (SysCon, 2025)

A Comprehensive Survey on LLM-Powered Recommender Systems: From Discriminative, Generative to Multi-Modal Paradigms. - Dina Nawara; Rasha F. Kashef (IEEE Access, 2025)

Shilling Attacks and Fake Reviews Injection: Principles, Models, and Datasets. - Dina Nawara; Ahmed Aly; Rasha F. Kashef (IEEE Trans. Comput. Soc. Syst., 2025)

Penalized GANs with latent perturbation for robust shilling attack generation in recommender systems. - Dina Nawara; Rasha F. Kashef (Discov. Comput., 2025)