Youcef Djenouri

Fabio Augusto de Alcantara Andrade

Cogn. Comput., September, 2024

DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2024

Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things?

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., June, 2024

A Federated Convolution Transformer for Fake News Detection.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, June, 2024

Applied AI in Defect Detection for Additive Manufacturing: Current Literature, Metrics, Datasets, and Open Challenges.

[BibT_eX]

[DOI]

IEEE Instrum. Meas. Mag., June, 2024

Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., June, 2024

TG-SPRED: Temporal Graph for Sensorial Data PREDiction.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, May, 2024

Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments.

[BibT_eX]

[DOI]

Trans. Emerg. Telecommun. Technol., April, 2024

Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics.

[BibT_eX]

[DOI]

IEEE Consumer Electron. Mag., March, 2024

Deepfakes: current and future trends.

[BibT_eX]

[DOI]

Ángel Fernández Gambín

Anis Yazidi

Athanasios V. Vasilakos

Hårek Haugerud

Artif. Intell. Rev., March, 2024

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

[BibT_eX]

[DOI]

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

FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., February, 2024

Spatio-temporal visual learning for home-based monitoring.

[BibT_eX]

[DOI]

Alberto Cano

Inf. Fusion, January, 2024

A graph neural approach for group recommendation system based on pairwise preferences.

[BibT_eX]

[DOI]

Roza Abolghasemi

Enrique Herrera-Viedma

Paal Engelstad

Anis Yazidi

Inf. Fusion, 2024

Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Shapley visual transformers for image-to-text generation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

Design of Reliable Mining Algorithm for Massive Moving Image Data Trajectory.

[BibT_eX]

[DOI]

Youmei Zeng

Bo Run

IEEE Access, 2024

Revolutionizing Personal Recommendations via Federated Contrastive Transformer Learning.

[BibT_eX]

[DOI]

Fabio Augusto de Alcantara Andrade

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

POPD: Partial Occluded Pedestrian Detection Using A Multimodal Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Vision-based Spatiotemporal Learning for Human Activity Recognition.

[BibT_eX]

[DOI]

Alberto Cano

Proceedings of the International Joint Conference on Neural Networks, 2024

Intelligent Customer Behaviour Analysis in the Norwegian Market.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

2023

Advanced Pattern-Mining System for Fake News Analysis.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

High-Precision Matching Algorithm for Multi-Image Segmentation of Micro Animation Videos in Mobile Network Environment.

[BibT_eX]

[DOI]

Yehui Su

Mob. Networks Appl., October, 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

Federated deep learning for smart city edge-based applications.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

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

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

Generating Event Sensor Readings Using Spatial Correlations and a Graph Sensor Adversarial Model for Energy Saving in IoT: GSAVES.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Shapley Deep Learning: A Consensus for General-Purpose Vision Systems.

[BibT_eX]

[DOI]

Anis Yazidi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Hybrid Visual Transformer for Efficient Deep Human Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hybrid Genetic U-Net Algorithm for Medical Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Knowledge Guided Deep Learning for General-Purpose Computer Vision Applications.

[BibT_eX]

[DOI]

Rutvij H. Jhaveri

Fabio Augusto de Alcantara Andrade

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.

[BibT_eX]

[DOI]

Luciano Netto de Lima

Carlos Pfeiffer

Marcos Moura

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 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

Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems.

[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

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

An ontology matching approach for semantic modeling: A case study in smart cities.

[BibT_eX]

[DOI]

Comput. Intell., 2022

Efficient evolutionary computation model of closed high-utility itemset mining.

[BibT_eX]

[DOI]

Appl. Intell., 2022

An edge-driven multi-agent optimization model for infectious disease detection.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Deep learning based decomposition for visual navigation in industrial platforms.

[BibT_eX]

[DOI]

Appl. Intell., 2022

How Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

Exploring Decomposition for Solving Pattern Mining Problems.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2021

Machine Learning for Identifying Group Trajectory Outliers.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2021

Trajectory Outlier Detection: New Problems and Solutions for Smart Cities.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

SS-ITS: secure scalable intelligent transportation systems.

[BibT_eX]

[DOI]

J. Supercomput., 2021

Uncertain-Driven Analytics of Sequence Data in IoCV Environments.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Mining of High-Utility Patterns in Big IoT-based Databases.

[BibT_eX]

[DOI]

Mob. Networks Appl., 2021

ASRNN: A recurrent neural network with an attention model for sequence labeling.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation.

[BibT_eX]

[DOI]

Essam H. Houssein

Kashif Hussain

Laith Mohammad Abualigah

Mohamed E. Abd Elaziz

Knowl. Based Syst., 2021

Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Efficient closed high-utility pattern fusion model in large-scale databases.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

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

[BibT_eX]

[DOI]

Inf. Fusion, 2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Comput. Commun., 2021

A nutrient recommendation system for soil fertilization based on evolutionary computation.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

A predictive GA-based model for closed high-utility itemset mining.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Linguistic frequent pattern mining using a compressed structure.

[BibT_eX]

[DOI]

Appl. Intell., 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

LSTM for Periodic Broadcasting in Green IoT Applications over Energy Harvesting Enabled Wireless Networks: Case Study on ADAPCAST.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Large-Scale Closed High-Utility Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the 2021 International Conference on Data Mining, 2021

A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining.

[BibT_eX]

[DOI]

Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

Mining of High-Utility Patterns in Big IoT Databases.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2021

A Graphic CNN-LSTM Model for Stock Price Predication.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2021

Detection of Trajectory Outliers in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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

Incrementally updating the high average-utility patterns with pre-large concept.

[BibT_eX]

[DOI]

Appl. 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

Data mining-based approach for ontology matching problem.

[BibT_eX]

[DOI]

Appl. Intell., 2020

Efficient Chain Structure for High-Utility Sequential Pattern Mining.

[BibT_eX]

[DOI]

Yuanfa Li

IEEE Access, 2020

When the Decomposition Meets the Constraint Satisfaction Problem.

[BibT_eX]

[DOI]

IEEE Access, 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

Efficient Mining of Pareto-Front High Expected Utility Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jon M. Hjelmervik

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Fast and Accurate Group Outlier Detection for Trajectory Data.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Databases and Information Systems, 2020

2019

Hiding sensitive itemsets with multiple objective optimization.

[BibT_eX]

[DOI]

Binbin Zhang

Soft Comput., 2019

Bee swarm optimization for solving the MAXSAT problem using prior knowledge.

[BibT_eX]

[DOI]

Soft Comput., 2019

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

[BibT_eX]

[DOI]

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]

Intell. Data Anal., 2019

Machine Learning for Smart Building Applications: Review and Taxonomy.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

A Sanitization Approach to Secure Shared Data in an IoT Environment.

[BibT_eX]

[DOI]

Jimmy Ming-Tai Wu

Chun-Hao Chen

IEEE Access, 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

An Efficient Chain Structure to Mine High-Utility Sequential Patterns.

[BibT_eX]

[DOI]

Yuanfa Li

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

Comparative Study on Trajectory Outlier Detection Algorithms.

[BibT_eX]

[DOI]

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

Highly Efficient Pattern Mining Based on Transaction Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining.

[BibT_eX]

[DOI]

Jimmy Ming-Tai Wu

Proceedings of the IEEE Congress on Evolutionary Computation, 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

Mining High-Utility Sequential Patterns from Big Datasets.

[BibT_eX]

[DOI]

Yuanfa Li

Shyue-Liang Leon Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exploring Pattern Mining for Solving the Ontology Matching Problem.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Databases and Information Systems, 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

Intelligent mapping between GPU and cluster computing for discovering big association rules.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Maintenance algorithm for high average-utility itemsets with transaction deletion.

[BibT_eX]

[DOI]

Yinan Shao

Xiangmin Guo

Appl. Intell., 2018

A new framework for metaheuristic-based frequent itemset mining.

[BibT_eX]

[DOI]

Appl. Intell., 2018

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

[BibT_eX]

[DOI]

IEEE Access, 2018

Outlier Detection in Urban Traffic Data.

[BibT_eX]

[DOI]

Arthur Zimek

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 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

GFSOM: Genetic Feature Selection for Ontology Matching.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computing, 2018

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Outlier Detection in Urban Traffic Flow Distributions.

[BibT_eX]

[DOI]

Arthur Zimek

Marco Chiarandini

Proceedings of the IEEE International Conference on Data Mining, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2018

Anonymization of Multiple and Personalized Sensitive Attributes.

[BibT_eX]

[DOI]

Qiankun Liu

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.

[BibT_eX]

[DOI]

Marco Comuzzi

Inf. Sci., 2017

Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2017

Reducing thread divergence in GPU-based bees swarm optimization applied to association rule mining.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE SmartWorld, 2017

GPU-based Bio-inspired Model for Solving Association Rules Mining Problem.

[BibT_eX]

[DOI]

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases.

[BibT_eX]

[DOI]

Marco Comuzzi

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.

[BibT_eX]

[DOI]

Marco Comuzzi

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.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computing, 2017

2016

Penguins Search Optimisation Algorithm for Association Rules Mining.

[BibT_eX]

[DOI]

Youcef Gheraibia

Abdelouahab Moussaoui

Sohag Kabir

Peng-Yeng Yin

J. Comput. Inf. Technol., 2016

Bees Swarm Optimization Metaheuristic Guided by Decomposition for Solving MAX-SAT.

[BibT_eX]

[DOI]

Wassila Aggoune-Mtalaa

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2015

GPU-based bees swarm optimization for association rules mining.

[BibT_eX]

[DOI]

Malika Mehdi

J. Supercomput., 2015

Penguin Search Optimisation Algorithm for Finding Optimal Spaced Seeds.

[BibT_eX]

[DOI]

Youcef Gheraibia

Abdelouahab Moussaoui

Int. J. Softw. Sci. Comput. Intell., 2015

Parallel BSO Algorithm for Association Rules Mining Using Master/Worker Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Processing and Applied Mathematics, 2015

Data Reordering for Minimizing Threads Divergence in GPU-Based Evaluating Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014

Multilevel Clustering of Induction Rules: Application on Scalable Cognitive Agent.

[BibT_eX]

[DOI]

Amine Chemchem

Int. J. Syst. Serv. Oriented Eng., 2014

Pruning irrelevant association rules using knowledge mining.

[BibT_eX]

[DOI]

Int. J. Bus. Intell. Data Min., 2014

Bees swarm optimisation using multiple strategies for association rule mining.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2014

Hybrid Intelligent Method for Association Rules Mining Using Multiple Strategies.

[BibT_eX]

[DOI]

Int. J. Appl. Metaheuristic Comput., 2014

An efficient measure for evaluating association rules.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Parallel association rules mining using GPUS and bees behaviors.

[BibT_eX]

[DOI]

Malika Mehdi

Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Parallel Bees Swarm Optimization for Association Rules Mining Using GPU Architecture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

An Improved Evolutionary Approach for Association Rules Mining.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014

2013

Multilevel Clustering of Induction Rules for Web Meta-knowledge.

[BibT_eX]

[DOI]

Amine Chemchem

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.

[BibT_eX]

[DOI]