Asma Belhadi

ACM Trans. Web, February, 2024

An Efficient and Accurate GPU-based Deep Learning Model for Multimedia Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Spatio-temporal visual learning for home-based monitoring.

[BibT_eX]

[DOI]

Ahmed Nabil Belbachir

Alberto Cano

Inf. Fusion, January, 2024

2023

Advanced Pattern-Mining System for Fake News Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., December, 2023

JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., November, 2023

A Secure Intelligent System for Internet of Vehicles: Case Study on Traffic Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2023

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster.

[BibT_eX]

[DOI]

Softw. Qual. J., September, 2023

Intelligent Graph Convolutional Neural Network for Road Crack Detection.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., August, 2023

When explainable AI meets IoT applications for supervised learning.

[BibT_eX]

[DOI]

Clust. Comput., August, 2023

Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, May, 2023

Fast and Accurate Framework for Ontology Matching in Web of Things.

[BibT_eX]

[DOI]

ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Interpretable intrusion detection for next generation of Internet of Things.

[BibT_eX]

[DOI]

Comput. Commun., April, 2023

Group intrusion detection in the Internet of Things using a hybrid recurrent neural network.

[BibT_eX]

[DOI]

Clust. Comput., April, 2023

Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2023

Emergent Deep Learning for Anomaly Detection in Internet of Everything.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2023

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

2022

Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Secure Collaborative Augmented Reality Framework for Biomedical Informatics.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Deep Learning Versus Traditional Solutions for Group Trajectory Outliers.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Vehicle detection using improved region convolution neural network for accident prevention in smart roads.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Deep learning based hashtag recommendation system for multimedia data.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Sensor data fusion for the industrial artificial intelligence of things.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2022

Hybrid intelligent framework for automated medical learning.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2022

White-Box and Black-Box Fuzzing for GraphQL APIs.

[BibT_eX]

[DOI]

CoRR, 2022

A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments.

[BibT_eX]

[DOI]

Comput. Commun., 2022

Intelligent deep fusion network for urban traffic flow anomaly identification.

[BibT_eX]

[DOI]

Comput. Commun., 2022

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE Conference on Software Testing, Verification and Validation, 2022

Evolutionary-based automated testing for GraphQL APIs.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Machine Learning for Identifying Group Trajectory Outliers.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2021

SS-ITS: secure scalable intelligent transportation systems.

[BibT_eX]

[DOI]

J. Supercomput., 2021

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings.

[BibT_eX]

[DOI]

Comput. Commun., 2021

Cluster-based information retrieval using pattern mining.

[BibT_eX]

[DOI]

Appl. Intell., 2021

Privacy reinforcement learning for faults detection in the smart grid.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2021

2020

Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2020

Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

A general-purpose distributed pattern mining system.

[BibT_eX]

[DOI]

Appl. Intell., 2020

A recurrent neural network for urban long-term traffic flow forecasting.

[BibT_eX]

[DOI]

Appl. Intell., 2020

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Data-Driven Approach for Twitter Hashtag Recommendation.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases.

[BibT_eX]

[DOI]

Djamel Djenouri

Ahcène Bendjoudi

Inf. Sci., 2019

Exploiting GPU and cluster parallelism in single scan frequent itemset mining.

[BibT_eX]

[DOI]

Inf. Sci., 2019

GPU-based swarm intelligence for Association Rule Mining in big databases.

[BibT_eX]

[DOI]

Djamel Djenouri

Intell. Data Anal., 2019

A Survey on Urban Traffic Anomalies Detection Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2019

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow.

[BibT_eX]

[DOI]

IEEE Access, 2019

Comparative Study on Trajectory Outlier Detection Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Extracting useful knowledge from event logs: A frequent itemset mining approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Fast and effective cluster-based information retrieval using frequent closed itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Mining diversified association rules in big datasets: A cluster/GPU/genetic approach.

[BibT_eX]

[DOI]

Hamido Fujita

Inf. Sci., 2018

Bees swarm optimization guided by data mining techniques for document information retrieval.

[BibT_eX]

[DOI]

Riadh Belkebir

Expert Syst. Appl., 2018

How to exploit high performance computing in population-based metaheuristics for solving association rule mining problem.

[BibT_eX]

[DOI]

Distributed Parallel Databases, 2018

A new framework for metaheuristic-based frequent itemset mining.

[BibT_eX]

[DOI]

Djamel Djenouri

Appl. Intell., 2018

Frequent Itemset Mining in Big Data With Effective Single Scan Algorithms.

[BibT_eX]

[DOI]

IEEE Access, 2018

Discovering Strong Meta Association Rules Using Bees Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017

New GPU-based swarm intelligence approach for reducing big association rules space.

[BibT_eX]

[DOI]

Nadia Nouali-Taboudjemat

Proceedings of the 2017 IEEE SmartWorld, 2017

An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Mining.

[BibT_eX]

[DOI]