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Houda Benbrahim
Affiliation : Mohammed V University
- 63Publications (affiliation in Morocco)
- 75Total publications
- 911Citations
- 15h-index
Research profile
Houda Benbrahim has 63 indexed publications (2002–2026). Their work appears mainly in “International Wireless Communications and Mobile Computing Conference (IWCMC)”, “Lecture notes in computer science” and “Proceedings of the VLDB Endowment”. Their most cited article, “Machine learning and deep learning for sentiment analysis across languages: A survey” (2023), has been cited 116 times. 13 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in United Kingdom, France.
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Create my free profile Add my publicationsResearch areas
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Topic Modeling
- Mobile Crowdsensing and Crowdsourcing
- Information Retrieval and Search Behavior
Publications (63)
- RBCrowd: A Reliable Blockchain-Based Reputation Management Framework for Privacy Preservation in Mobile Crowdsensing
- Blockchain-based privacy preservation in mobile crowdsensing: A systematic literature review
- Crowd-PoR: Proof-of-Reputation Consensus Protocol for Blockchain-Based Mobile Crowdsensing
- The differential impact of image reconstruction: Generative model artifacts as forensic signatures
- Enhancing Road Safety with Privacy-Preserving Blockchain-Based Mobile Crowdsensing
- Is Attention Mechanism Enough for Accurate Deep Learning-Based Image Forgery Detection Models?
- To unify or diversify: A systematic literature review of single unified models versus multiple models in detecting both copy-move and image splicing forgeries
- BlockCrowd: A Privacy-Preserving Trust Management Blockchain-Based System for Crowdsensing
- Ind-MSA: Bridging the Linguistic Gap for Inductive Multilingual Sentiment Analysis with Graph Neural Networks
- Citizen-centric development: a key requirements catalogue for mobile CrowdSensing applications in intelligent transportation systems
- Assessing Data Breach Factors Through Modern Crime Theory: A Structural Equation Modeling Approach
- Heterogeneous text graph for comprehensive multilingual sentiment analysis: capturing short- and long-distance semantics
- A Comparison of Temporal and Spatio-Temporal Methods for Short-Term Traffic Flow Prediction
- Machine learning and deep learning for sentiment analysis across languages: A survey
- Enhancing Cyber Threat Identification in Open-Source Intelligence Feeds Through an Improved Semi-Supervised Generative Adversarial Learning Approach With Contrastive Learning
- An Overview of Funded Research Projects in The MENA Region on Intelligent Transportation Systems
- Beyond Locks and Keys: Structural Equation Modeling Based Framework to Explore Security Breaches Through the Lens of Crime Theories
- Toward Reliable Mobile CrowdSensing Data Collection: Image Splicing Localization Overview
- SlideGCN: Slightly Deep Graph Convolutional Network for Multilingual Sentiment Analysis
- Graph Convolutional Network for Multilingual Sentiment Analysis
- Preserving Privacy in Mobile Crowdsensing within Intelligent Transportation System: Current Research and Future Challenges
- The Breach is Dead, Long Live the Breach: A Spatial Temporal Study of Healthcare Data Breaches
- Evaluating Wi-Fi Security Through Wardriving: A Test-Case Analysis
- Emphasizing the Relationship between Scans and Exploits Events’ Data: An Exploratory Data Analysis Over Time
- Access Control in Mobile Crowdsensing: Requirements, Challenges and Open Issues
- Hercules against data series similarity search
- STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk
- COVID-19-Related Scientific Literature Exploration: Short Survey and Comparative Study
- Correction: Talei et al. Smart Building Energy Inefficiencies Detection through Time Series Analysis and Unsupervised Machine Learning. Energies 2021, 14, 6042
- Smart Building Energy Inefficiencies Detection through Time Series Analysis and Unsupervised Machine Learning
- Modeling and Optimization of Anaerobic Digestion: A Review
- A Novel Mobile CrowdSensing Architecture for Road Safety
- Detecting the impact of software vulnerability on attacks: A case study of network telescope scans
- Conflict spectrum: An empirical study of geopolitical cyber threats from a social network perspective
- Leveraging Open Threat Exchange (OTX) to Understand Spatio-Temporal Trends of Cyber Threats: Covid-19 Case Study
- Review on adopting concept extraction in weak signals detection in competitive intelligence
- End-to-end LDA-based automatic weak signal detection in web news
- Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search
- The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art
- Comparative Study of End-to-end Deep Learning Methods for Self-driving Car
- Quantification of soil moisture variability over agriculture fields using Sentinel imagery
- Monitoring Early Warning Signs Evolution Through Time
- Applying External Guidance Commands to Deep Reinforcement Learning for Autonomous Driving
- Return of the Lernaean Hydra
- Optimal Combination of Imitation and Reinforcement Learning for Self-driving Cars
- Deep reinforcement learning with external control
- The lernaean hydra of data series similarity search
- Analyzing the Accuracy of Historical Average for Urban Traffic Forecasting Using Google Maps
- Textual Context Aware Factorization Machines
- Review Aware Recommender System
- Context Aware Recommender System Algorithms: State of the Art and Focus on Factorization Based Methods
- New under-sampling methods to address the problem of unbalanced sentiment classification: application on Arabic datasets
- Product Opinion Mining for Competitive Intelligence
- The Nearest Centroid Based on Vector Norms: A New Classification Algorithm for a New Document Representation Model
- Sentiment classification on arabic corpora. A preliminary cross-study
- Context extraction from reviews for Context Aware Recommendation using Text Classification techniques
- A Text Classification based method for context extraction from online reviews
- Inferring Context from Users’ Reviews for Context Aware Recommendation
- An empirical study to address the problem of Unbalanced Data Sets in sentiment classification
- A cross-study of Sentiment Classification on Arabic corpora
- Some methods to address the problem of unbalanced sentiment classification in an arabic context
- Fuzzy Semi-supervised Support Vector Machines
- A comparative study of pruned decision trees and fuzzy decision trees
Publication venues
- International Wireless Communications and Mobile Computing Conference (IWCMC) × 6
- Lecture notes in computer science × 4
- Proceedings of the VLDB Endowment × 3
- IEEE Access × 2
- Communications in computer and information science × 2
- Lecture notes in networks and systems × 2
Publications per year
- 20265
- 20255
- 20243
- 202312
- 20224
- 20217
- 20207
- 20193
- 20184
- 20171
Collaborations
Partner institutions : International University of Rabat · University of Leeds · Al Akhawayn University · International University · Université Paris Cité
Co-authors’ countries : United Kingdom · France
Co-authors
- Hanan El Bakkali
- Ismail Kassou
- Mounir Ghogho
- Zaina Maqour
- Wahiba Abou-Zbiba
- Asmaa Mountassir
- Hajar El Gadi
- Fatima Zahra Lahlou
- El Mahdi Mercha
- Narjisse Nejjari
- Ilham Berrada
- M. Erradi
Bibliographic data from OpenAlex (open database).
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