Anis Yazidi

According to our database1, Anis Yazidi authored at least 165 papers between 2010 and 2022.

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

Timeline

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Bibliography

2022
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics.
IEEE Trans. Cybern., 2022

Estimating Tukey depth using incremental quantile estimators.
Pattern Recognit., 2022

A personality-aware group recommendation system based on pairwise preferences.
Inf. Sci., 2022

SDN Spotlight: A real-time OpenFlow troubleshooting framework.
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

Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games.
CoRR, 2022

Improving the Diversity of Bootstrapped DQN via Noisy Priors.
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

Learning Automata with Artificial Reflecting Barriers in Games with Limited Information.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 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

Gated Contextual Features for Salient Object Detection.
IEEE Trans. Instrum. Meas., 2021

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth.
IEEE Trans. Cybern., 2021

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals.
Sensors, 2021

AWkS: adaptive, weighted k-means-based superpixels for improved saliency detection.
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

FER-net: facial expression recognition using deep neural net.
Neural Comput. Appl., 2021

Single image dehazing using a new color channel.
J. Vis. Commun. Image Represent., 2021

Joint tracking of multiple quantiles through conditional quantiles.
Inf. Sci., 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

Artificial Intelligence in Dry Eye Disease.
CoRR, 2021

Expert Q-learning: Deep Q-learning With State Values From Expert Examples.
CoRR, 2021

A parallel approach for detecting OpenFlow rule anomalies based on a general formalism.
Concurr. Comput. Pract. Exp., 2021

DoS and DDoS mitigation using Variational Autoencoders.
Comput. Networks, 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

2020
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.
IEEE Trans. Neural Networks Learn. Syst., 2020

Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center.
Trans. Large Scale Data Knowl. Centered Syst., 2020

Tracking of multiple quantiles in dynamically varying data streams.
Pattern Anal. Appl., 2020

Smooth estimates of multiple quantiles in dynamically varying data streams.
Pattern Anal. Appl., 2020

Distributed Learning Automata-based S-learning scheme for classification.
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

Mitigating DDoS using weight-based geographical clustering.
Concurr. Comput. Pract. Exp., 2020

On automated cloud bursting and hybrid cloud setups using Apache Mesos.
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

A team of pursuit learning automata for solving deterministic optimization problems.
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

Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies.
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
Multiplicative Update Methods for Incremental Quantile Estimation.
IEEE Trans. Cybern., 2019

On utilizing weak estimators to achieve the online classification of data streams.
Eng. Appl. Artif. Intell., 2019

A general representation of dynamical systems for reservoir computing.
CoRR, 2019

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation.
Appl. Intell., 2019

On solving the SPL problem using the concept of probability flux.
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

Classification of Delay-based TCP Algorithms From Passive Traffic Measurements.
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming.
Proceedings of the 11th on Wireless of the Students, 2019

Minimum-Impact First: Scheduling Virtual Machines Under Maintenance Scenarios.
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

Optimizing Power and Energy Efficiency in Cloud Computing.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

Checking the OpenFlow Rule Installation and Operational Verification.
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

A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Learning Fuzzy SPARQL User Preferences.
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

A Queue Model for Reliable Forecasting of Future CPU Consumption.
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

A machine learning approach to TCP state monitoring from passive measurements.
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

A Population-Based Incremental Learning Approach to Network Hardening.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

Data center traffic scheduling with hot-cold link detection capabilities.
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

A Novel Incremental Quantile Estimator Using the Magnitude of the Observations.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

An Incremental Approach for Swift OpenFlow Anomaly Detection.
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

Quantile Estimation Based on the Principles of the Search on the Line.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic.
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

PolyACO+: a multi-level polygon-based ant colony optimisation classifier.
Swarm Intell., 2017

A new methodology for identifying unreliable sensors in data fusion.
Knowl. Based Syst., 2017

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search.
Inf. Sci., 2017

"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids.
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

A General Formalism for Defining and Detecting OpenFlow Rule Anomalies.
Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

Data Mining Approaches for IP Address Clustering.
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

Incremental Quantiles Estimators for Tracking Multiple Quantiles.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions.
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

Cost Efficient Batch Processing in Amazon Cloud with Deadline Awareness.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

Towards a Hybrid Cloud Platform Using Apache Mesos.
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

A Higher-Fidelity Frugal Quantile Estimator.
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

A pattern recognition approach for peak prediction of electrical consumption.
Integr. Comput. Aided Eng., 2016

Adaptive Task Assignment in Online Learning Environments.
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016

Data fusion without knowledge of the ground truth using Tseltin-like Automata.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

An enhanced biomorphic model for cloud scaling.
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

Reliable modeling of CPU usage in an office worker environment.
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

On Assisted Packet Filter Conflicts Resolution: An Iterative Relaxed Approach.
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data.
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

On the Online Classification of Data Streams Using Weak Estimators.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 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

Distributed learning automata for solving a classification task.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons.
Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015
Automatic Security Classification with Lasso.
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

A Biomorphic Model for Automated Cloud Adaptation.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

Quantile estimation using the theory of stochastic learning.
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

A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm.
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

Solving Stochastic Root-Finding with adaptive d-ary search.
Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Analysis of Time-Dependencies in Automatic Security Classification.
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

Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus.
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

Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing.
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

Service selection in stochastic environments: a learning-automaton based solution.
Appl. Intell., 2012

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

A Stochastic Search on the Line-Based Solution to Discretized Estimation.
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

Tracking the Preferences of Users Using Weak Estimators.
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

A Learning Automata Based Solution to Service Selection in Stochastic Environments.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Towards a relation oriented service architecture.
Proceedings of the Second International Conference on Communication Systems and Networks, 2010


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