Youcef Djenouri

Orcid: 0000-0003-0135-7450

According to our database1, Youcef Djenouri authored at least 163 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Knowledge-Enhanced Object Detection for Sustainable Agriculture.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges.
Clust. Comput., December, 2024

Nature inspired optimization algorithms for medical image segmentation: a comprehensive review.
Clust. Comput., December, 2024

Federated Constrastive Learning and Visual Transformers for Personal Recommendation.
Cogn. Comput., September, 2024

DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things.
IEEE J. Biomed. Health Informatics, June, 2024

Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things?
IEEE Trans. Comput. Soc. Syst., June, 2024

A Federated Convolution Transformer for Fake News Detection.
IEEE Trans. Big Data, June, 2024

Applied AI in Defect Detection for Additive Manufacturing: Current Literature, Metrics, Datasets, and Open Challenges.
IEEE Instrum. Meas. Mag., June, 2024

Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism.
Expert Syst. J. Knowl. Eng., June, 2024

TG-SPRED: Temporal Graph for Sensorial Data PREDiction.
ACM Trans. Sens. Networks, May, 2024

Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments.
Trans. Emerg. Telecommun. Technol., April, 2024

Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics.
IEEE Consumer Electron. Mag., March, 2024

Deepfakes: current and future trends.
Artif. Intell. Rev., March, 2024

An Efficient and Accurate GPU-based Deep Learning Model for Multimedia Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems.
IEEE Trans. Consumer Electron., February, 2024

Spatio-temporal visual learning for home-based monitoring.
Inf. Fusion, January, 2024

A graph neural approach for group recommendation system based on pairwise preferences.
Inf. Fusion, 2024

Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles.
Eng. Appl. Artif. Intell., 2024

Shapley visual transformers for image-to-text generation.
Appl. Soft Comput., 2024

Design of Reliable Mining Algorithm for Massive Moving Image Data Trajectory.
IEEE Access, 2024

Revolutionizing Personal Recommendations via Federated Contrastive Transformer Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

POPD: Partial Occluded Pedestrian Detection Using A Multimodal Deep Learning Approach.
Proceedings of the International Joint Conference on Neural Networks, 2024

Vision-based Spatiotemporal Learning for Human Activity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

Intelligent Customer Behaviour Analysis in the Norwegian Market.
Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023
Advanced Pattern-Mining System for Fake News Analysis.
IEEE Trans. Comput. Soc. Syst., December, 2023

A Secure Intelligent System for Internet of Vehicles: Case Study on Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., November, 2023

High-Precision Matching Algorithm for Multi-Image Segmentation of Micro Animation Videos in Mobile Network Environment.
Mob. Networks Appl., October, 2023

Intelligent Graph Convolutional Neural Network for Road Crack Detection.
IEEE Trans. Intell. Transp. Syst., August, 2023

When explainable AI meets IoT applications for supervised learning.
Clust. Comput., August, 2023

Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles.
ACM Trans. Sens. Networks, May, 2023

Fast and Accurate Framework for Ontology Matching in Web of Things.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Interpretable intrusion detection for next generation of Internet of Things.
Comput. Commun., April, 2023

Group intrusion detection in the Internet of Things using a hybrid recurrent neural network.
Clust. Comput., April, 2023

Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023

Emergent Deep Learning for Anomaly Detection in Internet of Everything.
IEEE Internet Things J., February, 2023

Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things.
IEEE Internet Things J., February, 2023

Federated deep learning for smart city edge-based applications.
Future Gener. Comput. Syst., 2023

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting.
Future Gener. Comput. Syst., 2023

Generating Event Sensor Readings Using Spatial Correlations and a Graph Sensor Adversarial Model for Energy Saving in IoT: GSAVES.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Shapley Deep Learning: A Consensus for General-Purpose Vision Systems.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Hybrid Visual Transformer for Efficient Deep Human Activity Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hybrid Genetic U-Net Algorithm for Medical Segmentation.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Knowledge Guided Deep Learning for General-Purpose Computer Vision Applications.
Proceedings of the Computer Analysis of Images and Patterns, 2023

Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model.
ACM Trans. Knowl. Discov. Data, 2022

Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads.
IEEE Trans. Intell. Transp. Syst., 2022

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics.
IEEE Trans. Intell. Transp. Syst., 2022

Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Secure Collaborative Augmented Reality Framework for Biomedical Informatics.
IEEE J. Biomed. Health Informatics, 2022

Deep Learning Versus Traditional Solutions for Group Trajectory Outliers.
IEEE Trans. Cybern., 2022

Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis.
IEEE Trans. Comput. Soc. Syst., 2022

Vehicle detection using improved region convolution neural network for accident prevention in smart roads.
Pattern Recognit. Lett., 2022

Deep learning based hashtag recommendation system for multimedia data.
Inf. Sci., 2022

Sensor data fusion for the industrial artificial intelligence of things.
Expert Syst. J. Knowl. Eng., 2022

Hybrid intelligent framework for automated medical learning.
Expert Syst. J. Knowl. Eng., 2022

A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments.
Comput. Commun., 2022

Intelligent deep fusion network for urban traffic flow anomaly identification.
Comput. Commun., 2022

An ontology matching approach for semantic modeling: A case study in smart cities.
Comput. Intell., 2022

Efficient evolutionary computation model of closed high-utility itemset mining.
Appl. Intell., 2022

An edge-driven multi-agent optimization model for infectious disease detection.
Appl. Intell., 2022

Deep learning based decomposition for visual navigation in industrial platforms.
Appl. Intell., 2022

How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021
Exploring Decomposition for Solving Pattern Mining Problems.
ACM Trans. Manag. Inf. Syst., 2021

Machine Learning for Identifying Group Trajectory Outliers.
ACM Trans. Manag. Inf. Syst., 2021

Trajectory Outlier Detection: New Problems and Solutions for Smart Cities.
ACM Trans. Knowl. Discov. Data, 2021

SS-ITS: secure scalable intelligent transportation systems.
J. Supercomput., 2021

Uncertain-Driven Analytics of Sequence Data in IoCV Environments.
IEEE Trans. Intell. Transp. Syst., 2021

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories.
IEEE Trans. Intell. Transp. Syst., 2021

Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data.
IEEE Trans. Ind. Informatics, 2021

An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Mining of High-Utility Patterns in Big IoT-based Databases.
Mob. Networks Appl., 2021

ASRNN: A recurrent neural network with an attention model for sequence labeling.
Knowl. Based Syst., 2021

An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation.
Knowl. Based Syst., 2021

Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments.
IEEE Internet Things J., 2021

Efficient closed high-utility pattern fusion model in large-scale databases.
Inf. Fusion, 2021

Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection.
Inf. Fusion, 2021

Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams.
Neurocomputing, 2021

Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings.
Comput. Commun., 2021

A nutrient recommendation system for soil fertilization based on evolutionary computation.
Comput. Electron. Agric., 2021

A predictive GA-based model for closed high-utility itemset mining.
Appl. Soft Comput., 2021

Linguistic frequent pattern mining using a compressed structure.
Appl. Intell., 2021

Cluster-based information retrieval using pattern mining.
Appl. Intell., 2021

Privacy reinforcement learning for faults detection in the smart grid.
Ad Hoc Networks, 2021

LSTM for Periodic Broadcasting in Green IoT Applications over Energy Harvesting Enabled Wireless Networks: Case Study on ADAPCAST.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Large-Scale Closed High-Utility Itemset Mining.
Proceedings of the 2021 International Conference on Data Mining, 2021

A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

Mining of High-Utility Patterns in Big IoT Databases.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

A Graphic CNN-LSTM Model for Stock Price Predication.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Detection of Trajectory Outliers in Intelligent Transportation Systems.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges.
ACM Trans. Manag. Inf. Syst., 2020

Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities.
Eng. Appl. Artif. Intell., 2020

Incrementally updating the high average-utility patterns with pre-large concept.
Appl. Intell., 2020

A general-purpose distributed pattern mining system.
Appl. Intell., 2020

A recurrent neural network for urban long-term traffic flow forecasting.
Appl. Intell., 2020

Data mining-based approach for ontology matching problem.
Appl. Intell., 2020

Efficient Chain Structure for High-Utility Sequential Pattern Mining.
IEEE Access, 2020

When the Decomposition Meets the Constraint Satisfaction Problem.
IEEE Access, 2020

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.
IEEE Access, 2020

A Data-Driven Approach for Twitter Hashtag Recommendation.
IEEE Access, 2020

Efficient Mining of Pareto-Front High Expected Utility Patterns.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Hybrid Decomposition Convolution Neural Network and Vocabulary Forest for Image Retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Fast and Accurate Group Outlier Detection for Trajectory Data.
Proceedings of the New Trends in Databases and Information Systems, 2020

2019
Hiding sensitive itemsets with multiple objective optimization.
Soft Comput., 2019

Bee swarm optimization for solving the MAXSAT problem using prior knowledge.
Soft Comput., 2019

Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases.
Inf. Sci., 2019

Exploiting GPU and cluster parallelism in single scan frequent itemset mining.
Inf. Sci., 2019

GPU-based swarm intelligence for Association Rule Mining in big databases.
Intell. Data Anal., 2019

Machine Learning for Smart Building Applications: Review and Taxonomy.
ACM Comput. Surv., 2019

A Sanitization Approach to Secure Shared Data in an IoT Environment.
IEEE Access, 2019

A Survey on Urban Traffic Anomalies Detection Algorithms.
IEEE Access, 2019

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow.
IEEE Access, 2019

An Efficient Chain Structure to Mine High-Utility Sequential Patterns.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Comparative Study on Trajectory Outlier Detection Algorithms.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Highly Efficient Pattern Mining Based on Transaction Decomposition.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Mining High-Utility Sequential Patterns from Big Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exploring Pattern Mining for Solving the Ontology Matching Problem.
Proceedings of the New Trends in Databases and Information Systems, 2019

2018
Extracting useful knowledge from event logs: A frequent itemset mining approach.
Knowl. Based Syst., 2018

Fast and effective cluster-based information retrieval using frequent closed itemsets.
Inf. Sci., 2018

Mining diversified association rules in big datasets: A cluster/GPU/genetic approach.
Inf. Sci., 2018

Bees swarm optimization guided by data mining techniques for document information retrieval.
Expert Syst. Appl., 2018

How to exploit high performance computing in population-based metaheuristics for solving association rule mining problem.
Distributed Parallel Databases, 2018

Intelligent mapping between GPU and cluster computing for discovering big association rules.
Appl. Soft Comput., 2018

Maintenance algorithm for high average-utility itemsets with transaction deletion.
Appl. Intell., 2018

A new framework for metaheuristic-based frequent itemset mining.
Appl. Intell., 2018

Frequent Itemset Mining in Big Data With Effective Single Scan Algorithms.
IEEE Access, 2018

Outlier Detection in Urban Traffic Data.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Discovering Strong Meta Association Rules Using Bees Swarm Optimization.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

GFSOM: Genetic Feature Selection for Ontology Matching.
Proceedings of the Genetic and Evolutionary Computing, 2018

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Outlier Detection in Urban Traffic Flow Distributions.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

Anonymization of Multiple and Personalized Sensitive Attributes.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2017
Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem.
Inf. Sci., 2017

Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach.
IEEE Intell. Syst., 2017

Reducing thread divergence in GPU-based bees swarm optimization applied to association rule mining.
Concurr. Comput. Pract. Exp., 2017

New GPU-based swarm intelligence approach for reducing big association rules space.
Proceedings of the 2017 IEEE SmartWorld, 2017

GPU-based Bio-inspired Model for Solving Association Rules Mining Problem.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Mining.
Proceedings of the Genetic and Evolutionary Computing, 2017

2016
Penguins Search Optimisation Algorithm for Association Rules Mining.
J. Comput. Inf. Technol., 2016

Bees Swarm Optimization Metaheuristic Guided by Decomposition for Solving MAX-SAT.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2015
GPU-based bees swarm optimization for association rules mining.
J. Supercomput., 2015

Penguin Search Optimisation Algorithm for Finding Optimal Spaced Seeds.
Int. J. Softw. Sci. Comput. Intell., 2015

Parallel BSO Algorithm for Association Rules Mining Using Master/Worker Paradigm.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

Data Reordering for Minimizing Threads Divergence in GPU-Based Evaluating Association Rules.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014
Multilevel Clustering of Induction Rules: Application on Scalable Cognitive Agent.
Int. J. Syst. Serv. Oriented Eng., 2014

Pruning irrelevant association rules using knowledge mining.
Int. J. Bus. Intell. Data Min., 2014

Bees swarm optimisation using multiple strategies for association rule mining.
Int. J. Bio Inspired Comput., 2014

Hybrid Intelligent Method for Association Rules Mining Using Multiple Strategies.
Int. J. Appl. Metaheuristic Comput., 2014

An efficient measure for evaluating association rules.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Parallel association rules mining using GPUS and bees behaviors.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecture.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

An Improved Evolutionary Approach for Association Rules Mining.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2013
Multilevel Clustering of Induction Rules for Web Meta-knowledge.
Proceedings of the Advances in Information Systems and Technologies [WorldCIST'13, 2013

A hybrid Bees Swarm Optimization and Tabu Search algorithm for Association rule mining.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

2012
Bees Swarm Optimization for Web Association Rule Mining.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012


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