default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRasha 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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, Rasha Kashef, Farah Mohammadi:
PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment. Sensors 24(16): 5095 (2024) - [j26]Dina Nawara, Rasha F. Kashef:
MCARS-CC: A Salable Multicontext-Aware Recommender System. IEEE Trans. Comput. Soc. Syst. 11(1): 612-624 (2024) - [j25]Rahul Singhal, Rasha F. Kashef:
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, Rasha Kashef:
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, Rasha F. Kashef:
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, Rasha Kashef, Farah Mohammadi:
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, Dina Nawara, Rasha F. Kashef:
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, Hans De Sterck, Geoffrey Sanders:
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, Rasha Kashef, Ahmed Shaker:
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, Rasha F. Kashef:
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, Rasha F. Kashef:
Context-Aware Recommendation Systems in the IoT Environment (IoT-CARS)-A Comprehensive Overview. IEEE Access 9: 144270-144284 (2021) - [j11]Ahmed F. Ibrahim, Rasha Kashef, Liam Corrigan:
Predicting market movement direction for bitcoin: A comparison of time series modeling methods. Comput. Electr. Eng. 89: 106905 (2021) - [j10]Yoga Suhas Kuruba Manjunath, Rasha F. Kashef:
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, Rasha F. Kashef:
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, Rasha F. Kashef:
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, Rasha Kashef, Farah Mohammadi:
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, Rasha Kashef, Farah Mohammadi:
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, Rasha Kashef:
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, Rasha Kashef:
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, Rasha Kashef, Ahmed F. Ibrahim:
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, Liam Corrigan, Rasha Kashef:
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-21 01:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
