Anis Yazidi

发表

Service selection in stochastic environments: a learning-automaton based solution

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, Applied Intelligence.

Saving the Planet with Bin Packing - Experiences Using 2D and 3D Bin Packing of Virtual Machines for Greener Clouds

Anis Yazidi, Thomas Hage, Kyrre M. Begnum, 2014, 2014 IEEE 6th International Conference on Cloud Computing Technology and Science.

On automated cloud bursting and hybrid cloud setups using Apache Mesos

Anis Yazidi, Noha Xue, Harek Haugerud, 2017, 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech).

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, IEA/AIE.

Intelligent Learning Automata-based Strategies Applied to Personalized Service Provisioning in Pervasive Environments

Anis Yazidi, 2011 .

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

Anis Yazidi, B. John Oommen, Hugo Hammer, 2016, Inf. Sci..

Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming

Anis Yazidi, Cise Midoglu, Hårek Haugerud, 2019, S3@MobiCom.

A Novel Incremental Quantile Estimator Using the Magnitude of the Observations

Anis Yazidi, Hugo Hammer, A. Yazidi, 2018, 2018 26th Mediterranean Conference on Control and Automation (MED).

Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios

Anis Yazidi, Kyrre M. Begnum, Hårek Haugerud, 2019, 2019 IEEE Symposium on Computers and Communications (ISCC).

Solving stochastic nonlinear resource allocation problems using continuous learning automata

Anis Yazidi, Hugo Hammer, 2018, Applied Intelligence.

Distributed learning automata for solving a classification task

Anis Yazidi, Morten Goodwin Olsen, Tore Møller Jonassen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

On optimizing firewall performance in dynamic networks by invoking a novel swapping window–based paradigm

Anis Yazidi, B. John Oommen, Boning Feng, 2018, Int. J. Commun. Syst..

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments

Anis Yazidi, B. John Oommen, Morten Goodwin Olsen, 2017, ADMA.

A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2011, HAIS.

A pursuit learning solution to underwater communications with limited mobility agents

Anis Yazidi, Amine Berqia, Hajar Bennouri, 2018, RACS.

Learning Fuzzy SPARQL User Preferences

Anis Yazidi, Olfa Slama, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

A Higher-Fidelity Frugal Quantile Estimator

Anis Yazidi, B. John Oommen, Hugo Hammer, 2017, ADMA.

Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

PolyACO+: a multi-level polygon-based ant colony optimisation classifier

Anis Yazidi, Morten Goodwin Olsen, Torry Tufteland, 2017, Swarm Intelligence.

Towards a relation oriented service architecture

Anis Yazidi, Frank Reichert, Andreas Häber, 2010, 2010 Second International Conference on COMmunication Systems and NETworks (COMSNETS 2010).

Checking the OpenFlow Rule Installation and Operational Verification

Anis Yazidi, Ramtin Aryan, Paal Einar Engelstad, 2019, 2019 IEEE 44th Conference on Local Computer Networks (LCN).

Improving classification of tweets using word-word co-occurrence information from a large external corpus

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2016, SAC.

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search

Anis Yazidi, B. John Oommen, B. Oommen, 2017, Inf. Sci..

Data center traffic scheduling with hot-cold link detection capabilities

Anis Yazidi, Boning Feng, Hussein Abdi, 2018, RACS.

On Assisted Packet Filter Conflicts Resolution: An Iterative Relaxed Approach

Anis Yazidi, Adel Bouhoula, A. Yazidi, 2016, 2016 IEEE 41st Conference on Local Computer Networks (LCN).

Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes

Anis Yazidi, Hugo Hammer, A. Yazidi, 2018, 2018 26th Mediterranean Conference on Control and Automation (MED).

Quantile Estimation Based on the Principles of the Search on the Line

Anis Yazidi, Hugo Hammer, A. Yazidi, 2018, AIAI.

On the feasibility of machine learning as a tool for automatic security classification: A position paper

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2016, 2016 International Conference on Computing, Networking and Communications (ICNC).

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

Anis Yazidi, B. John Oommen, Hugo Hammer, 2015, IEA/AIE.

A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality

Anis Yazidi, Jianhua Zhang, Ioanna Sandvig, 2020, Cognitive Neurodynamics.

On the Online Classification of Data Streams Using Weak Estimators

Anis Yazidi, B. John Oommen, Hanane Tavasoli, 2016, IEA/AIE.

Analysis of Time-Dependencies in Automatic Security Classification

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2018, 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA).

Orchestrating resource allocation for interactive vs. batch services using a hybrid controller

Anis Yazidi, Bilal Ahmad, Hårek Haugerud, 2017, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM).

On using novel “Anti-Bayesian” techniques for the classification of dynamical data streams

Anis Yazidi, B. John Oommen, Hugo Hammer, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Population-Based Incremental Learning Approach to Network Hardening

Anis Yazidi, Xinming Ou, Boning Feng, 2018, SoMeT.

Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2016, ANTS Conference.

Review of ?fault detection, diagnosis and decision support methods? in industry

Anis Yazidi, Tor Inge Waag, Rambabu Kandepu, 2012 .

Incremental Quantiles Estimators for Tracking Multiple Quantiles

Anis Yazidi, Hugo Hammer, 2017, IEA/AIE.

A new approach for anomalies resolution within filtering rules

Anis Yazidi, Adel Bouhoula, 2007 .

Adaptive Task Assignment in Online Learning Environments

Anis Yazidi, Morten Goodwin Olsen, Per-Arne Andersen, 2016, WIMS.

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation

Anis Yazidi, Hugo Hammer, Asieh Abolpour Mofrad, 2017, RACS.

On the classification of dynamical data streams using novel "Anti-Bayesian" techniques

Anis Yazidi, B. John Oommen, Hugo Hammer, 2018, Pattern Recognit..

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

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2018, 2018 27th International Conference on Computer Communication and Networks (ICCCN).

Hadoop MapReduce scheduling paradigms

Anis Yazidi, Boning Feng, Roger Johannessen, 2017, 2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA).

In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly

Anis Yazidi, Ashish Rauniyar, Ramesh Pokhrel, 2019, 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).

A General Formalism for Defining and Detecting OpenFlow Rule Anomalies

Anis Yazidi, Øivind Kure, Paal Einar Engelstad, 2017, 2017 IEEE 42nd Conference on Local Computer Networks (LCN).

A Biomorphic Model for Automated Cloud Adaptation

Anis Yazidi, Gyorgi Stoykov, 2015, 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC).

Smooth estimates of multiple quantiles in dynamically varying data streams

Anis Yazidi, Hugo Lewi Hammer, 2019, Pattern Analysis and Applications.

Solving Stochastic Root-Finding with adaptive d-ary search

Anis Yazidi, B. John Oommen, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution

Anis Yazidi, Stefano Nichele, Alex Alcocer, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, CIIA.

Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers

Anis Yazidi, B. John Oommen, César A. Astudillo, 2016, Australasian Conference on Artificial Intelligence.

Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations

Anis Yazidi, Haavard Rue, Hugo Lewi Hammer, 2019, 1901.04681.

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, J. Inf. Process. Syst..

On utilizing weak estimators to achieve the online classification of data streams

Anis Yazidi, B. John Oommen, Hanane Tavasoli, 2019, Eng. Appl. Artif. Intell..

A machine learning approach to TCP state monitoring from passive measurements

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2018, 2018 Wireless Days (WD).

A Queue Model for Reliable Forecasting of Future CPU Consumption

Anis Yazidi, Hårek Haugerud, Hugo Hammer, 2017, Mobile Networks and Applications.

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation

Anis Yazidi, Hugo L. Hammer, Tore M. Jonassen, 2019, Applied Intelligence.

The Theory and Applications of the Stochastic Point Location Problem

Anis Yazidi, B. John Oommen, 2017, 2017 International Conference on New Trends in Computing Sciences (ICTCS).

A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids

Anis Yazidi, B. John Oommen, Lei Jiao, 2018, IEEE Access.

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth

Anis Yazidi, B. John Oommen, Morten Goodwin Olsen, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

An Inhomogeneous Hidden Markov Model for Efficient Virtual Machine Placement in Cloud Computing Environments

Anis Yazidi, Hugo Lewi Hammer, Kyrre M. Begnum, 2016 .

Process Improvement Solution for Mobile Platform Customer SW Development

Anis Yazidi, Terje Leira, A. Yazidi, 2008 .

An Incremental Approach for Swift OpenFlow Anomaly Detection

Anis Yazidi, Paal Einar Engelstad, Ramtin Aryan, 2018, 2018 IEEE 43rd Conference on Local Computer Networks (LCN).

Quantile estimation using the theory of stochastic learning

Anis Yazidi, Hugo Hammer, A. Yazidi, 2015, RACS.

A pattern recognition approach for peak prediction of electrical consumption

Anis Yazidi, Morten Goodwin Olsen, 2016, Integr. Comput. Aided Eng..

On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata

Anis Yazidi, B. John Oommen, Kyrre M. Begnum, 2016, J. Comput. Sci..

Autonomous configuration of network parameters in operating systems using evolutionary algorithms

Anis Yazidi, Stefano Nichele, Hårek Haugerud, 2018, RACS.

General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2018, IEEE Access.

Classification of Delay-based TCP Algorithms From Passive Traffic Measurements

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2019, 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA).

A novel Stochastic Discretized Weak Estimator operating in non-stationary environments

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2016, Pattern Recognit..

The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements

Anis Yazidi, Hårek Haugerud, Hugo Hammer, 2017, 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA).

A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments

Anis Yazidi, B. John Oommen, Frank Reichert, 2011, Wirel. Pers. Commun..

Tracking of multiple quantiles in dynamically varying data streams

Anis Yazidi, Hugo Lewi Hammer, Håvard Rue, 2019, Pattern Analysis and Applications.

Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems

Anis Yazidi, Hugo Hammer, Tore Møller Jonassen, 2017, IEA/AIE.

On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, ICAISC.

A security Policy Query Engine for fully automated resolution of anomalies in firewall configurations

Anis Yazidi, Ahmed Bouhoula, A. Yazidi, 2016, 2016 IEEE 15th International Symposium on Network Computing and Applications (NCA).

Multiplicative Update Methods for Incremental Quantile Estimation

Anis Yazidi, Hugo Hammer, A. Yazidi, 2019, IEEE Transactions on Cybernetics.

Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata

Anis Yazidi, Kyrre M. Begnum, Kyrre Begnum, 2016, 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes

Anis Yazidi, Erik Arntzen, Hugo L. Hammer, 2020, Neural Computation.

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm

Anis Yazidi, B. John Oommen, Hugo Hammer, 2018, IEEE Access.

Cost Efficient Batch Processing in Amazon Cloud with Deadline Awareness

Anis Yazidi, Hårek Haugerud, Kabin Tamrakar, 2017, 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA).

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns

Anis Yazidi, B. John Oommen, Frank Reichert, 2010, PRICAI.

The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions

Anis Yazidi, B. John Oommen, Xuan Zhang, 2018, AIAI.

On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments

Anis Yazidi, B. John Oommen, Morten Goodwin, 2017, IEEE Transactions on Cybernetics.

Estimation of Multiple Quantiles in Dynamically Varying Data Streams

Anis Yazidi, Haavard Rue, Hugo Lewi Hammer, 2017 .

Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2014, NIK.

Distributed Learning Automata-based S-learning scheme for classification

Anis Yazidi, Tore Møller Jonassen, Morten Goodwin, 2019, Pattern Analysis and Applications.

The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions

Anis Yazidi, Xuan Zhang, Lei Jiao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator

Anis Yazidi, Hugo Hammer, 2018, Applied Intelligence.

Automatic security classification by machine learning for cross-domain information exchange

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, MILCOM 2015 - 2015 IEEE Military Communications Conference.

Edge Information Based Image Fusion Metrics Using Fractional Order Differentiation and Sigmoidal Functions

Anis Yazidi, Ondrej Krejcar, Chinmaya Panigrahy, 2020, IEEE Access.

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

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2012, IEA/AIE.

Distributed learning automata-based scheme for classification using novel pursuit scheme

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2020, Applied Intelligence.

Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem

Anis Yazidi, B. John Oommen, 2016, IEEE Transactions on Cybernetics.

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

Anis Yazidi, Jose J. Gonzalez, Ole-Christoffer Granmo, 2013, 2013 46th Hawaii International Conference on System Sciences.

Quantile estimation in dynamic and stationary environments using the theory of stochastic learning

Anis Yazidi, Hugo Hammer, A. Yazidi, 2016, SIAP.

Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2017, 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA).

Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2013, IEEE Transactions on Cybernetics.

A pattern recognition approach for peak prediction of electrical consumption

Anis Yazidi, Morten Goodwin Olsen, A. Yazidi, 2014, Integr. Comput. Aided Eng..

Data fusion without knowledge of the ground truth using Tseltin-like Automata

Anis Yazidi, Frode Eika Sandnes, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*

Anis Yazidi, Stefano Nichele, Jianhua Zhang, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

On solving the SPL problem using the concept of probability flux

Anis Yazidi, Hugo Lewi Hammer, Asieh Abolpour Mofrad, 2018, Applied Intelligence.

A Learning Automata Based Solution to Service Selection in Stochastic Environments

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2010, IEA/AIE.

A new quantile tracking algorithm using a generalized exponentially weighted average of observations

Anis Yazidi, Hugo Hammer, Håvard Rue, 2018, Applied Intelligence.

An enhanced biomorphic model for cloud scaling

Anis Yazidi, Gyorgi Stoykov, 2016, SAC.

A team of pursuit learning automata for solving deterministic optimization problems

Anis Yazidi, Morten Goodwin, Nourredine Bouhmala, 2020, Applied Intelligence.

Effective live migration of virtual machines using partitioning and affinity aware-scheduling

Anis Yazidi, Kyrre M. Begnum, Hårek Haugerud, 2018, Comput. Electr. Eng..

Reliable modeling of CPU usage in an office worker environment

Anis Yazidi, Kyrre M. Begnum, Hugo Hammer, 2016, SAC.

On the analysis of a new Markov chain which has applications in AI and machine learning

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

Parameter Estimation in Abruptly Changing Dynamic Environments

Anis Yazidi, Hugo Lewi Hammer, A. Yazidi, 2019, 1901.04678.

Using the concept of data enclosing tunnel as an online feedback tool for simulator training

Laura Marcano, Anis Yazidi, Tiina M. Komulainen, 2018 .

Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme

Anis Yazidi, B. John Oommen, Lei Jiao, 2017, SmartGIFT.

Automatic Security Classification with Lasso

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, WISA.

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

Anis Yazidi, B. John Oommen, B. Oommen, 2017, CORES.

Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery.

A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory

Anis Yazidi, Paal E. Engelstad, Aleksander Bai, 2015, IEA/AIE.

"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids

Anis Yazidi, B. John Oommen, Hugo Hammer, 2016, IEA/AIE.

Towards a Hybrid Cloud Platform Using Apache Mesos

Anis Yazidi, Noha Xue, Hårek Haugerud, 2017, AIMS.

Tracking the Preferences of Users Using Weak Estimators

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2011, Australasian Conference on Artificial Intelligence.

Expert Q-learning: Deep Q-learning With State Values From Expert Examples pdf

Anis Yazidi, Paal E. Engelstad, Morten Goodwin Olsen, 2021, ArXiv.

DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG

Anis Yazidi, Ondrej Krejcar, Enrique Herrera-Viedma, 2021, IEEE Transactions on Instrumentation and Measurement.

Gated Contextual Features for Salient Object Detection

Anis Yazidi, Ondrej Krejcar, Pritee Khanna, 2021, IEEE Transactions on Instrumentation and Measurement.

Artificial Intelligence in Dry Eye Disease pdf

Anis Yazidi, Pål Halvorsen, Inga Strümke, 2021, medRxiv.

A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization

Anis Yazidi, Nadjib Aitsaadi, Hårek Haugerud, 2021, Future Gener. Comput. Syst..

On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments

Anis Yazidi, Asieh Abolpour Mofrad, Samaneh Abolpour Mofrad, 2021, Neural Computation.

A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature

Anis Yazidi, Paal E. Engelstad, Desta Haileselassie Hagos, 2021, IEEE Internet of Things Journal.

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes

Anis Yazidi, Erik Arntzen, Hugo Hammer, 2020, Neural Computation.

LieNet: A Deep Convolution Neural Network Framework for Detecting Deception

Anis Yazidi, Ondrej Krejcar, Ayan Seal, 2022, IEEE Transactions on Cognitive and Developmental Systems.

Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships

Anis Yazidi, Dumitru Roman, Bekir Sahin, 2021, IEEE Access.

A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images

Anis Yazidi, Ondrej Krejcar, Ayan Seal, 2021, Comput. Biol. Medicine.

DoS and DDoS Mitigation Using Variational Autoencoders

Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud, 2021, Comput. Networks.

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals

Anis Yazidi, Peyman Mirtaheri, Md. Zia Uddin, 2021, Sensors.

Single image dehazing using a new color channel

Anis Yazidi, Ondrej Krejcar, Ayan Seal, 2021, J. Vis. Commun. Image Represent..

A new decision making model based on Rank Centrality for GDM with fuzzy preference relations

Anis Yazidi, Fabio Massimo Zennaro, Pedro G. Lind, 2021, Eur. J. Oper. Res..

Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure

Anis Yazidi, Ali Selamat, Ondrej Krejcar, 2021, IEEE Access.

FER-net: facial expression recognition using deep neural net

Anis Yazidi, Ondrej Krejcar, Ayan Seal, 2021, Neural Computing and Applications.

On the Analysis of a Random Interleaving Walk–Jump Process with Applications to Testing

Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, 2011 .