Anis Yazidi
Orcid: 0000-0001-7591-1659
According to our database1,
Anis Yazidi
authored at least 210 papers
between 2010 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, May, 2024
IEEE Consumer Electron. Mag., March, 2024
A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board.
IEEE Trans Autom. Sci. Eng., January, 2024
Proceedings of the Advanced Information Networking and Applications, 2024
2023
IEEE Trans. Games, December, 2023
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark.
Complex Syst., December, 2023
Sensors, October, 2023
Benchmarks for machine learning in depression discrimination using electroencephalography signals.
Appl. Intell., May, 2023
Comput. Commun., April, 2023
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models.
Frontiers Neuroinformatics, March, 2023
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Algorithms, February, 2023
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey.
IEEE Trans. Instrum. Meas., 2023
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach.
Sensors, 2023
Adaptive learning with artificial barriers yielding Nash equilibria in general games.
Knowl. Eng. Rev., 2023
Int. J. Interact. Multim. Artif. Intell., 2023
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.
CoRR, 2023
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian.
Proceedings of the Artificial Intelligence XL, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Proceedings of the Computer Analysis of Images and Patterns, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics.
IEEE Trans. Cybern., 2022
IEEE Trans. Cogn. Dev. Syst., 2022
IEEE Trans. Affect. Comput., 2022
Pattern Recognit., 2022
Predicting missing pairwise preferences from similarity features in group decision making.
Knowl. Based Syst., 2022
Inf. Sci., 2022
Inf. Sci., 2022
Frontiers Robotics AI, 2022
Future Gener. Comput. Syst., 2022
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation.
Frontiers Big Data, 2022
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations.
Eur. J. Oper. Res., 2022
CoRR, 2022
Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks.
Concurr. Comput. Pract. Exp., 2022
Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression.
Comput. Biol. Medicine, 2022
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays.
Appl. Soft Comput., 2022
Appl. Intell., 2022
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022
Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022
2021
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm.
IEEE Trans. Neural Networks Learn. Syst., 2021
DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG.
IEEE Trans. Instrum. Meas., 2021
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021
Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth.
IEEE Trans. Cybern., 2021
Sensors, 2021
Pattern Anal. Appl., 2021
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes.
Neural Comput., 2021
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments.
Neural Comput., 2021
Neural Comput. Appl., 2021
J. Vis. Commun. Image Represent., 2021
A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature.
IEEE Internet Things J., 2021
A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization.
Future Gener. Comput. Syst., 2021
CoRR, 2021
A parallel approach for detecting OpenFlow rule anomalies based on a general formalism.
Concurr. Comput. Pract. Exp., 2021
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images.
Comput. Biol. Medicine, 2021
Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure.
IEEE Access, 2021
Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships.
IEEE Access, 2021
Proceedings of the 2021 Conference on Artificial Life, 2021
2020
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst., 2020
Trans. Large Scale Data Knowl. Centered Syst., 2020
Pattern Anal. Appl., 2020
Pattern Anal. Appl., 2020
Pattern Anal. Appl., 2020
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes.
Neural Comput., 2020
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy.
CoRR, 2020
Concurr. Comput. Pract. Exp., 2020
Concurr. Comput. Pract. Exp., 2020
A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training.
Comput. Chem. Eng., 2020
Detection of abnormality in wireless capsule endoscopy images using fractal features.
Comput. Biol. Medicine, 2020
Appl. Intell., 2020
Distributed learning automata-based scheme for classification using novel pursuit scheme.
Appl. Intell., 2020
Edge Information Based Image Fusion Metrics Using Fractional Order Differentiation and Sigmoidal Functions.
IEEE Access, 2020
Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations.
Proceedings of the RACS '20: International Conference on Research in Adaptive and Convergent Systems, 2020
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020
A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020
Proceedings of the 45th IEEE Conference on Local Computer Networks, 2020
Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Autonomous Provisioning of Preemptive Instances in Google Cloud for Maximum Performance Per Dollar.
Proceedings of the 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, 2020
2019
IEEE Trans. Cybern., 2019
Eng. Appl. Artif. Intell., 2019
Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation.
Appl. Intell., 2019
Appl. Intell., 2019
A new quantile tracking algorithm using a generalized exponentially weighted average of observations.
Appl. Intell., 2019
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning<sup>*</sup>.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019
Proceedings of the 11th on Wireless of the Students, 2019
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019
A Decentralized Approach for Homogenizing Load Distribution: In Cloud Data Center Based on Stable Marriage Matching.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019
Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019
Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning.
Proceedings of the Distributed Computing for Emerging Smart Networks, 2019
2018
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques.
Pattern Recognit., 2018
Mob. Networks Appl., 2018
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata.
J. Comput. Sci., 2018
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm.
Int. J. Commun. Syst., 2018
An aggregation approach for solving the non-linear fractional equality Knapsack problem.
Expert Syst. Appl., 2018
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution.
CoRR, 2018
Effective live migration of virtual machines using partitioning and affinity aware-scheduling.
Comput. Electr. Eng., 2018
Solving stochastic nonlinear resource allocation problems using continuous learning automata.
Appl. Intell., 2018
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator.
Appl. Intell., 2018
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm.
IEEE Access, 2018
A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids.
IEEE Access, 2018
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques.
IEEE Access, 2018
Proceedings of the 2018 Wireless Days, 2018
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018
Autonomous configuration of network parameters in operating systems using evolutionary algorithms.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018
A pursuit learning solution to underwater communications with limited mobility agents.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements.
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
Proceedings of the 43rd IEEE Conference on Local Computer Networks, 2018
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018
2017
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments.
IEEE Trans. Cybern., 2017
Swarm Intell., 2017
Knowl. Based Syst., 2017
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search.
Inf. Sci., 2017
Inf. Sci., 2017
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme.
Proceedings of the Smart Grid Inspired Future Technologies, 2017
Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017
The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017
Proceedings of the Industrial Networks and Intelligent Systems, 2017
Orchestrating resource allocation for interactive vs. batch services using a hybrid controller.
Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017
Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017
Proceedings of the Security of Networks and Services in an All-Connected World, 2017
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem.
IEEE Trans. Cybern., 2016
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments.
Pattern Recognit., 2016
Integr. Comput. Aided Eng., 2016
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Improving classification of tweets using word-word co-occurrence information from a large external corpus.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
A security Policy Query Engine for fully automated resolution of anomalies in firewall configurations.
Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016
Proceedings of the Industrial Networks and Intelligent Systems, 2016
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus.
Proceedings of the Industrial Networks and Intelligent Systems, 2016
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016
Proceedings of the 6th International Conference on Communication and Network Security, 2016
On the feasibility of machine learning as a tool for automatic security classification: A position paper.
Proceedings of the 2016 International Conference on Computing, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Proceedings of the Swarm Intelligence - 10th International Conference, 2016
2015
Proceedings of the Information Security Applications - 16th International Workshop, 2015
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015
Proceedings of the 2015 Conference on research in adaptive and convergent systems, 2015
Automatic security classification by machine learning for cross-domain information exchange.
Proceedings of the 34th IEEE Military Communications Conference, 2015
A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle.
Proceedings of the Artificial Intelligence and Soft Computing, 2015
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification.
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus.
Proceedings of the Computer Science and Its Applications, 2015
2014
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme.
IEEE Trans. Cybern., 2014
Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses.
Proceedings of the 27th Norsk Informatikkonferanse, 2014
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
Saving the Planet with Bin Packing - Experiences Using 2D and 3D Bin Packing of Virtual Machines for Greener Clouds.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns.
IEEE Trans. Cybern., 2013
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
2012
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators.
J. Inf. Process. Syst., 2012
Appl. Intell., 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
A novel Stochastic Discretized Weak Estimator operating in non-stationary environments.
Proceedings of the International Conference on Computing, Networking and Communications, 2012
2011
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments.
Wirel. Pers. Commun., 2011
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
On the analysis of a new Markov chain which has applications in AI and machine learning.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Second International Conference on Communication Systems and Networks, 2010