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Rasha F. Kashef
Rasha Kashef 0001
Person information
- affiliation: Toronto Metropolitan University, Canada
- affiliation (former): Ryerson University, Toronto, Canada
- affiliation (former): University of Western Ontario, IVEY Business School, London, ON, Canada
- affiliation (former): University of Waterloo, Department of Management Sciences, ON, Canada
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2020 – today
- 2024
- [j28]Alireza Ghasemieh, Rasha F. Kashef
:
Towards explainable artificial intelligence in deep vision-based odometry. Comput. Electr. Eng. 115: 109127 (2024) - [j27]Najmeh Razfar
PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment. Sensors 24(16): 5095 (2024) - [j26]Dina Nawara
MCARS-CC: A Salable Multicontext-Aware Recommender System. IEEE Trans. Comput. Soc. Syst. 11(1): 612-624 (2024) - [j25]Rahul Singhal
A Weighted Stacking Ensemble Model With Sampling for Fake Reviews Detection. IEEE Trans. Comput. Soc. Syst. 11(2): 2578-2594 (2024) - [c46]Samar AboulEla, Rasha F. Kashef:
Network Intrusion Detection Using a Stacking of AI-driven Models with Sampling. AIIoT 2024: 157-164 - [c45]Rasha Kashef, Edwin P. Alegre, Tasnim Prova, Sakshi Aggarwal:
Automated Waste Management using a Customized Vision-based Transformer Model. AIIoT 2024: 300-309 - [c44]Syed Ammad Ali Shah, Xavier Fernando, Rasha F. Kashef:
Improved Vehicular Congestion Classification using Machine Learning for VANETs. SysCon 2024: 1-8 - 2023
- [j24]Alireza Ghasemieh, Rasha Kashef
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods. Appl. Intell. 53(23): 28479-28500 (2023) - [j23]Hrag-Harout Jebamikyous, Menglu Li, Yoga Suhas Kuruba Manjunath
Leveraging machine learning and blockchain in E-commerce and beyond: benefits, models, and application. Discov. Artif. Intell. 3(1) (2023) - [j22]Philipp Schmid, Alisa Schaffhäuser, Rasha Kashef:
IoTBChain: Adopting Blockchain Technology to Increase PLC Resilience in an IoT Environment. Inf. 14(8): 437 (2023) - [j21]Hoang Nguyen
TS-IDS: Traffic-aware self-supervised learning for IoT Network Intrusion Detection. Knowl. Based Syst. 279: 110966 (2023) - [j20]Raha Soleymanzadeh, Rasha F. Kashef
Efficient intrusion detection using multi-player generative adversarial networks (GANs): an ensemble-based deep learning architecture. Neural Comput. Appl. 35(17): 12545-12563 (2023) - [j19]Najmeh Razfar
Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets. Sensors 23(12): 5513 (2023) - [c43]Gwen Xiao, Rasha Kashef:
Identification of IoT Devices Using A Multiple Transformers Single Estimator (MTSE) Learning Pipeline. AIIoT 2023: 216-221 - [c42]Rasha F. Kashef:
Forecasting The Price of the Flight Tickets using A Novel Hybrid Learning model. AIIoT 2023: 305-310 - [c41]Ahmed Aly
ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection. ASONAM 2023: 384-391 - [c40]Muhammad Musa K. Abid Hussain, Muhammad Jaseemuddin, Rasha Kashef:
Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach. CCECE 2023: 539-546 - [c39]Daniel Kaluza, Marco Seiler, Rasha F. Kashef:
Traffic Collision Detection Using DenseNet. IEEM 2023: 928-933 - [c38]Rasha Kashef, Monika Freunek, Jeff Schwartzentruber, Reza Samavi, Burcu Bulgurcu, A. J. Khan, Marcus Santos:
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. SecDev 2023: 207-213 - [c37]Jay Gohil, Rasha F. Kashef:
Counterfeit Detection in the e-Commerce Industry Using Machine Learning: A Review. SysCon 2023: 1-8 - [i7]Eleonora Achiluzzi, Menglu Li, Md Fahd Al Georgy, Rasha F. Kashef:
Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment. CoRR abs/2301.00134 (2023) - [i6]Rasha Kashef, Monika Freunek, Jeff Schwartzentruber, Reza Samavi, Burcu Bulgurcu, A. J. Khan, Marcus Santos:
Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research. CoRR abs/2302.13955 (2023) - [i5]Hardik Sharma, Rajat Garg, Harshini Sewani, Rasha Kashef:
Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions. CoRR abs/2303.18135 (2023) - 2022
- [j18]Hrag-Harout Jebamikyous, Rasha Kashef
Autonomous Vehicles Perception (AVP) Using Deep Learning: Modeling, Assessment, and Challenges. IEEE Access 10: 10523-10535 (2022) - [j17]Rasha Kashef:
ECNN: Enhanced convolutional neural network for efficient diagnosis of autism spectrum disorder. Cogn. Syst. Res. 71: 41-49 (2022) - [j16]Rasha F. Kashef, Hubert Pun:
Predicting l-CrossSold products using connected components: A clustering-based recommendation system. Electron. Commer. Res. Appl. 53: 101148 (2022) - [j15]Haifeng Xu, Rasha F. Kashef
Efficient Algebraic Multigrid Methods for Multilevel Overlapping Coclustering of User-Item Relationships. INFORMS J. Comput. 34(3): 1587-1605 (2022) - [j14]Mustafa Aljasim, Rasha Kashef:
E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model. Sensors 22(5): 1858 (2022) - [j13]Ahmed Diab
Deep Learning for LiDAR Point Cloud Classification in Remote Sensing. Sensors 22(20): 7868 (2022) - [c36]Kashaf Masood, Rasha F. Kashef:
Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism. AIME 2022: 110-121 - [c35]Syed Ammad Ali Shah, Ayat Hama Saleh, Mahsa Ebrahimian, Rasha Kashef:
Early Detection of Heart Disease Using Advances of Machine Learning for Large-Scale Patient Datasets. CCECE 2022: 274-280 - [c34]Raha Soleymanzadeh, Rasha F. Kashef:
A Stable Generative Adversarial Network Architecture for Network Intrusion Detection. CSR 2022: 9-15 - [c33]Raha Soleymanzadeh, Rasha Kashef:
The Future Roadmap for Cyber-attack Detection. CSP 2022: 66-70 - [c32]Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef, Naimul Khan:
Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model. ICDH 2022: 29-33 - [c31]Alireza Ghasemieh, Rasha Kashef:
A Robust Deep Learning Model for Predicting the Trend of Stock Market Prices During Market Crash Periods. SysCon 2022: 1-8 - [c30]Dina Nawara
Context-Aware Recommendation Systems Using Consensus-Clustering. SysCon 2022: 1-8 - [i4]Mahta Taghi Zadeh, Rasha Kashef:
The Impact of IT Projects Complexity on Cost Overruns and Schedule Delays. CoRR abs/2203.00430 (2022) - [i3]Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef:
Edge, Fog, and Cloud Computing : An Overview on Challenges and Applications. CoRR abs/2211.01863 (2022) - [i2]Saad Emshagin, Wayes Koroni Halim, Rasha Kashef:
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models. CoRR abs/2212.08757 (2022) - 2021
- [j12]Dina Nawara
Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)-A Comprehensive Overview. IEEE Access 9: 144270-144284 (2021) - [j11]Ahmed F. Ibrahim
Predicting market movement direction for bitcoin: A comparison of time series modeling methods. Comput. Electr. Eng. 89: 106905 (2021) - [j10]Yoga Suhas Kuruba Manjunath
Distributed clustering using multi-tier hierarchical overlay super-peer peer-to-peer network architecture for efficient customer segmentation. Electron. Commer. Res. Appl. 47: 101040 (2021) - [j9]Rasha Kashef:
A boosted SVM classifier trained by incremental learning and decremental unlearning approach. Expert Syst. Appl. 167: 114154 (2021) - [j8]Abdul Hanan K. Mohammed, Hrag-Harout Jebamikyous, Dina Nawara
IoT text analytics in smart education and beyond. J. Comput. High. Educ. 33(3): 779-806 (2021) - [c29]Mahsa Ebrahimian, Rasha Kashef:
A CNN-based Hybrid Model and Architecture for Shilling Attack Detection. CCECE 2021: 1-7 - [c28]Menglu Li, Eleonora Achiluzzi, Md Fahd Al Georgy, Rasha Kashef:
Malicious Network Traffic Detection in IoT Environments Using A Multi-level Neural Network. DASC/PiCom/CBDCom/CyberSciTech 2021: 169-175 - [c27]Yoga Suhas Kuruba Manjunath, Vakar Kohli, Salman Ghaffar, Rasha Kashef:
Network Flow Classification and Volume Prediction using Novel Ensemble Deep Learning Architectures in the Era of the Internet of Things (IoT). DASC/PiCom/CBDCom/CyberSciTech 2021: 201-206 - [c26]Rasha F. Kashef:
Detecting Overlapping Communities in Social Networks Using A Modified Segmentation by Weighted Aggregation Approach. DATA 2021: 60-69 - [c25]Abdul Hanan K. Mohammed, Hrag-Harout Jebamikyous, Dina Nawara
IoT Cyber-Attack Detection: A Comparative Analysis. DATA 2021: 117-123 - [c24]Menglu Li, Maryam Amirizaniani, Rasha Kashef:
Efficient Comorbidity Analysis in Brain Disorders Reveals Better Diagnosis. HPCC/DSS/SmartCity/DependSys 2021: 1237-1244 - [c23]Najmeh Razfar
A Comprehensive Overview on IoT-Based Smart Stroke Rehabilitation Using the Advances of Wearable Technology. HPCC/DSS/SmartCity/DependSys 2021: 1359-1366 - [c22]Hrag-Harout Jebamikyous, Rasha Kashef:
Deep Learning-Based Semantic Segmentation in Autonomous Driving. HPCC/DSS/SmartCity/DependSys 2021: 1367-1373 - [c21]Najmeh Razfar
Assessing Stroke Patients Movements Using Inertial Measurements Through the Advances of Ensemble Learning Technology. HPCC/DSS/SmartCity/DependSys 2021: 1482-1489 - [c20]Joseph Lai, Leslie Che, Rasha Kashef:
Bottleneck Analysis in JFK Using Discrete Event Simulation: An Airport Queuing Model. ISC2 2021: 1-7 - [c19]Alireza Ghasemieh, Rasha Kashef:
Deep Learning Vs. Machine Learning in Predicting the Future Trend of Stock Market Prices. SMC 2021: 3429-3435 - [c18]Farzana Alam, Rasha Kashef, Muhammad Jaseemuddin:
Enhancing The Performance of Network Traffic Classification Methods Using Efficient Feature Selection Models. SysCon 2021: 1-6 - [c17]Dina Nawara
Deploying Different Clustering Techniques on a Collaborative-based Movie Recommender. SysCon 2021: 1-6 - [c16]Farnaz Sarhangian, Rasha Kashef, Muhammad Jaseemuddin:
Efficient Traffic Classification Using Hybrid Deep Learning. SysCon 2021: 1-8 - [i1]Abbas Saleminezhadl, Manuel Remmele, Ravikumar Chaudhari, Rasha Kashef:
IoT Analytics and Blockchain. CoRR abs/2112.13430 (2021) - 2020
- [j7]Hani A. Aldhubaib
Optimizing the Utilization Rate for Electric Power Generation Systems: A Discrete-Event Simulation Model. IEEE Access 8: 82078-82084 (2020) - [j6]Rasha Kashef
Enhancing the Role of Large-Scale Recommendation Systems in the IoT Context. IEEE Access 8: 178248-178257 (2020) - [j5]Menglu Li
Multi-Level Clustering-Based Outlier's Detection (MCOD) Using Self-Organizing Maps. Big Data Cogn. Comput. 4(4): 24 (2020) - [j4]Toni Pano, Rasha Kashef:
A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19. Big Data Cogn. Comput. 4(4): 33 (2020) - [j3]Mahsa Ebrahimian, Rasha Kashef:
Detecting Shilling Attacks Using Hybrid Deep Learning Models. Symmetry 12(11): 1805 (2020) - [c15]Ahmed F. Ibrahim
Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model. CCECE 2020: 1-4 - [c14]Turner Tobin, Rasha Kashef:
Efficient Prediction of Gold Prices Using Hybrid Deep Learning. ICIAR (2) 2020: 118-129 - [c13]Glendon Hass, Parker Simon, Rasha Kashef:
Business Applications for Current Developments in Big Data Clustering: An Overview. IEEM 2020: 195-199 - [c12]Mahsa Ebrahimian, Rasha Kashef:
Efficient Detection of Shilling's Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models. IEEM 2020: 460-464
2010 – 2019
- 2019
- [c11]Xue Tan, Rasha Kashef:
Predicting the closing price of cryptocurrencies: a comparative study. DATA 2019: 37:1-37:5 - 2017
- [c10]Rasha Kashef, Akshat Niranjan:
Handling Large-Scale Data using Two-Tier Hierarchical Super-Peer P2P Network. BDIOT 2017: 52-56 - [c9]Rasha F. Kashef:
Ensemble-Based Anomaly Detetction using Cooperative Learning. ADF@KDD 2017: 43-55 - 2014
- [c8]Nidarsha Attanayake, Rasha F. Kashef, Tariq Andrea:
A simulation model for a continuous review inventory policy for healthcare systems. CCECE 2014: 1-6 - [c7]Ahmed F. Ibrahim, Derek Rayside, Rasha Kashef:
Cooperative based software clustering on dependency graphs. CCECE 2014: 1-6 - 2010
- [j2]Rasha F. Kashef, Mohamed S. Kamel
Cooperative clustering. Pattern Recognit. 43(6): 2315-2329 (2010)
2000 – 2009
- 2009
- [j1]Rasha F. Kashef, Mohamed S. Kamel
Enhanced bisecting k-means clustering using intermediate cooperation. Pattern Recognit. 42(11): 2557-2569 (2009) - 2008
- [b1]Rasha F. Kashef:
Cooperative Clustering Model and Its Applications. University of Waterloo, Ontario, Canada, 2008 - [c6]Rasha F. Kashef, Mohamed S. Kamel
Towards Better Outliers Detection for Gene Expression Datasets. BIOTECHNO 2008: 149-154 - [c5]Rasha F. Kashef, Mohamed S. Kamel
Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets. CIBCB 2008: 143-150 - [c4]Rasha F. Kashef, Mohamed S. Kamel
Efficient Bisecting k-Medoids and Its Application in Gene Expression Analysis. ICIAR 2008: 423-434 - 2007
- [c3]Rasha F. Kashef, Mohamed S. Kamel
Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis. BIBE 2007: 116-122 - [c2]Rasha F. Kashef, Mohamed S. Kamel
Hard-fuzzy clustering: A cooperative approach. SMC 2007: 425-430 - 2004
- [c1]Yasser El-Sonbaty, Rasha Kashef:
New Fast Algorithm for Incremental Mining of Association Rules. ICEIS (1) 2004: 275-281
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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