Towards a relation oriented service architecture. - Ram Kumar; Andreas Häber; Anis Yazidi; Frank Reichert (COMSNETS, 2010)

A Learning Automata Based Solution to Service Selection in Stochastic Environments. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (IEA/AIE (3), 2010)

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. - Anis Yazidi; Ole-Christoffer Granmo; Min Lin; Xifeng Wen; B. John Oommen; Martin Gerdes; Frank Reichert (PRICAI, 2010)

Tracking the Preferences of Users Using Weak Estimators. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (Australasian Conference on Artificial Intelligence, 2011)

On the analysis of a new Markov chain which has applications in AI and machine learning. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (CCECE, 2011)

A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (HAIS (1), 2011)

A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen; Martin Gerdes; Frank Reichert (Wirel. Pers. Commun., 2011)

A novel Stochastic Discretized Weak Estimator operating in non-stationary environments. - Anis Yazidi; B. John Oommen; Ole-Christoffer Granmo (ICNC, 2012)

A Stochastic Search on the Line-Based Solution to Discretized Estimation. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (IEA/AIE, 2012)

A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen; Morten Goodwin Olsen (IEA/AIE, 2012)

Service selection in stochastic environments: a learning-automaton based solution. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (Appl. Intell., 2012)

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators. - B. John Oommen; Anis Yazidi; Ole-Christoffer Granmo (J. Inf. Process. Syst., 2012)

Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing. - Jaziar Radianti; Ole-Christoffer Granmo; Noureddine Bouhmala; Parvaneh Sarshar; Anis Yazidi; Jose J. Gonzalez (HICSS, 2013)

Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen (IEEE Trans. Cybern., 2013)

Saving the Planet with Bin Packing - Experiences Using 2D and 3D Bin Packing of Virtual Machines for Greener Clouds. - Thomas Hage; Kyrre M. Begnum; Anis Yazidi (CloudCom, 2014)

Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus. - Aleksander Bai; Hugo Hammer; Anis Yazidi; Paal Engelstad (CSE, 2014)

On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. - Anis Yazidi; B. John Oommen; Ole-Christoffer Granmo; Morten Goodwin (CSE, 2014)

Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses. - Hugo Hammer; Aleksander Bai; Anis Yazidi; Paal Engelstad (NIK, 2014)

A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. - Anis Yazidi; Ole-Christoffer Granmo; B. John Oommen; Morten Goodwin Olsen (IEEE Trans. Cybern., 2014)

Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus. - Hugo Hammer; Anis Yazidi; Aleksander Bai; Paal E. Engelstad (CIIA, 2015)

Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. - Paal E. Engelstad; Hugo Hammer; Anis Yazidi; Aleksander Bai (CyberC, 2015)

Analysis of Time-Dependencies in Automatic Security Classification. - Paal E. Engelstad; Hugo Hammer; Anis Yazidi; Aleksander Bai (CyberC, 2015)

Solving Stochastic Root-Finding with adaptive d-ary search. - Anis Yazidi; B. John Oommen (EAIS, 2015)

On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. - Anis Yazidi; Hugo Lewi Hammer; Aleksander Bai; Paal Engelstad (ICAISC, 2015)

A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (IEA/AIE, 2015)

A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. - Anis Yazidi; Aleksander Bai; Hugo Hammer; Paal Engelstad (IEA/AIE, 2015)

Automatic security classification by machine learning for cross-domain information exchange. - Hugo Hammer; Kyrre Wahl Kongsgård; Aleksander Bai; Anis Yazidi; Nils Agne Nordbotten; Paal E. Engelstad (MILCOM, 2015)

Quantile estimation using the theory of stochastic learning. - Anis Yazidi; Hugo Hammer (RACS, 2015)

A Biomorphic Model for Automated Cloud Adaptation. - Gyorgi Stoykov; Anis Yazidi (UCC, 2015)

On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. - Anis Yazidi; B. John Oommen; Morten Goodwin Olsen (WI-IAT (2), 2015)

Automatic Security Classification with Lasso. - Paal E. Engelstad; Hugo Hammer; Kyrre Wahl Kongsgård; Anis Yazidi; Nils Agne Nordbotten; Aleksander Bai (WISA, 2015)

Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons. - Morten Goodwin; Anis Yazidi (ANTS Conference, 2016)

Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers. - César A. Astudillo; Javier I. González; B. John Oommen; Anis Yazidi (Australasian Conference on Artificial Intelligence, 2016)

Distributed learning automata for solving a classification task. - Morten Goodwin; Anis Yazidi; Tore Møller Jonassen (CEC, 2016)

On the feasibility of machine learning as a tool for automatic security classification: A position paper. - Anis Yazidi; Hugo Hammer; Aleksander Bai; Paal E. Engelstad (ICNC, 2016)

Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm. - Ratish Mohan; Anis Yazidi; Boning Feng; B. John Oommen (ICCNS, 2016)

On the Online Classification of Data Streams Using Weak Estimators. - Hanane Tavasoli; B. John Oommen; Anis Yazidi (IEA/AIE, 2016)

Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. - Hugo Lewi Hammer; Anis Yazidi; Aleksander Bai; Paal Engelstad (INISCOM, 2016)

Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. - Hugo Lewi Hammer; Anis Yazidi; Alfred Bratterud; Hårek Haugerud; Boning Feng (INISCOM, 2016)

On Assisted Packet Filter Conflicts Resolution: An Iterative Relaxed Approach. - Anis Yazidi; Adel Bouhoula (LCN, 2016)

A security Policy Query Engine for fully automated resolution of anomalies in firewall configurations. - Ahmed Bouhoula; Anis Yazidi (NCA, 2016)

Reliable modeling of CPU usage in an office worker environment. - Hugo Lewi Hammer; Anis Yazidi; Kyrre M. Begnum (SAC, 2016)

Improving classification of tweets using word-word co-occurrence information from a large external corpus. - Hugo Lewi Hammer; Anis Yazidi; Aleksander Bai; Paal E. Engelstad (SAC, 2016)

An enhanced biomorphic model for cloud scaling. - Gyorgi Stoykov; Anis Yazidi (SAC, 2016)

Data fusion without knowledge of the ground truth using Tseltin-like Automata. - Anis Yazidi; Frode Eika Sandnes (SMC, 2016)

Adaptive Task Assignment in Online Learning Environments. - Per-Arne Andersen; Christian Kråkevik; Morten Goodwin; Anis Yazidi (WIMS, 2016)

A pattern recognition approach for peak prediction of electrical consumption. - Morten Goodwin; Anis Yazidi (Integr. Comput. Aided Eng., 2016)

Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. - Anis Yazidi; B. John Oommen; Geir Horn; Ole-Christoffer Granmo (Pattern Recognit., 2016)

Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem. - Anis Yazidi; B. John Oommen (IEEE Trans. Cybern., 2016)

A Higher-Fidelity Frugal Quantile Estimator. - Anis Yazidi; Hugo Lewi Hammer; B. John Oommen (ADMA, 2017)

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. - Anis Yazidi; B. John Oommen; Morten Goodwin (ADMA, 2017)

Towards a Hybrid Cloud Platform Using Apache Mesos. - Noha Xue; Hårek Haugerud; Anis Yazidi (AIMS, 2017)

Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. - Desta Haileselassie Hagos; Anis Yazidi; Øivind Kure; Paal E. Engelstad (AINA, 2017)

Cost Efficient Batch Processing in Amazon Cloud with Deadline Awareness. - Kabin Tamrakar; Anis Yazidi; Hårek Haugerud (AINA, 2017)

On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (CEC, 2017)

Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions. - Anis Yazidi; B. John Oommen (CORES, 2017)

Incremental Quantiles Estimators for Tracking Multiple Quantiles. - Hugo Lewi Hammer; Anis Yazidi (IEA/AIE (1), 2017)

Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems. - Anis Yazidi; Hugo Lewi Hammer; Tore Møller Jonassen (IEA/AIE (1), 2017)

Orchestrating resource allocation for interactive vs. batch services using a hybrid controller. - Bilal Ahmad; Anis Yazidi; Hårek Haugerud; Soodeh Farokhi (IM, 2017)

Data Mining Approaches for IP Address Clustering. - Madeleine Victoria Kongshavn; Anis Yazidi; Hårek Haugerud; Hugo Hammer (INISCOM, 2017)

A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. - Ramtin Aryan; Anis Yazidi; Paal Einar Engelstad; Øivind Kure (LCN, 2017)

The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements. - Evangelos Tasoulas; Hugo Lewi Hammer; Hårek Haugerud; Anis Yazidi; Alfred Bratterud; Boning Feng (NCA, 2017)

Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (RACS, 2017)

Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme. - Rajan Thapa; Lei Jiao 001; B. John Oommen; Anis Yazidi (SmartGIFT, 2017)

"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (Inf. Sci., 2017)

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search. - Anis Yazidi; B. John Oommen (Inf. Sci., 2017)

A new methodology for identifying unreliable sensors in data fusion. - Anis Yazidi; Enrique Herrera-Viedma (Knowl. Based Syst., 2017)

PolyACO+: a multi-level polygon-based ant colony optimisation classifier. - Morten Goodwin; Torry Tufteland; Guro Ødesneltvedt; Anis Yazidi (Swarm Intell., 2017)

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 (IEEE Trans. Cybern., 2017)

Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (ICCCN, 2018)

Quantile Estimation Based on the Principles of the Search on the Line. - Anis Yazidi; Hugo Lewi Hammer (AIAI, 2018)

The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions. - Anis Yazidi; Xuan Zhang 007; Lei Jiao 001; B. John Oommen (AIAI, 2018)

An Incremental Approach for Swift OpenFlow Anomaly Detection. - Ramtin Aryan; Anis Yazidi; Paal Einar Engelstad (LCN, 2018)

Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes. - Hugo Lewi Hammer; Anis Yazidi (MED, 2018)

A Novel Incremental Quantile Estimator Using the Magnitude of the Observations. - Hugo Lewi Hammer; Anis Yazidi (MED, 2018)

Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (NCA, 2018)

A pursuit learning solution to underwater communications with limited mobility agents. - Hajar Bennouri; Anis Yazidi; Amine Berqia (RACS, 2018)

Autonomous configuration of network parameters in operating systems using evolutionary algorithms. - Bartosz Gembala; Anis Yazidi; Hårek Haugerud; Stefano Nichele (RACS, 2018)

Data center traffic scheduling with hot-cold link detection capabilities. - Anis Yazidi; Hussein Abdi; Boning Feng (RACS, 2018)

A Population-Based Incremental Learning Approach to Network Hardening. - Alexander Paulsen; Anis Yazidi; Boning Feng; Xinming Ou (SoMeT, 2018)

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. - Erik Aaron Hansen; Stefano Nichele; Anis Yazidi; Hårek Haugerud; Asieh Abolpour Mofrad; Alex Alcocer (SSCI, 2018)

A machine learning approach to TCP state monitoring from passive measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (Wireless Days, 2018)

General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (IEEE Access, 2018)

A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids. - Rajan Thapa; Lei Jiao 001; B. John Oommen; Anis Yazidi (IEEE Access, 2018)

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. - Anis Yazidi; Hugo Hammer; B. John Oommen (IEEE Access, 2018)

Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator. - Hugo Lewi Hammer; Anis Yazidi (Appl. Intell., 2018)

Solving stochastic nonlinear resource allocation problems using continuous learning automata. - Anis Yazidi; Hugo Lewi Hammer (Appl. Intell., 2018)

Effective live migration of virtual machines using partitioning and affinity aware-scheduling. - Anis Yazidi; Frederik Ung; Hårek Haugerud; Kyrre M. Begnum (Comput. Electr. Eng., 2018)

Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution. - Erik Aaron Hansen; Stefano Nichele; Anis Yazidi; Hårek Haugerud; Asieh Abolpour Mofrad; Alex Alcocer (CoRR, 2018)

An aggregation approach for solving the non-linear fractional equality Knapsack problem. - Anis Yazidi; Tore Møller Jonassen; Enrique Herrera-Viedma (Expert Syst. Appl., 2018)

On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm. - Ratish Mohan; Anis Yazidi; Boning Feng; B. John Oommen (Int. J. Commun. Syst., 2018)

On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata. - Akaki Jobava; Anis Yazidi; B. John Oommen; Kyrre M. Begnum (J. Comput. Sci., 2018)

A Queue Model for Reliable Forecasting of Future CPU Consumption. - Hugo Lewi Hammer; Anis Yazidi; Alfred Bratterud; Hårek Haugerud; Boning Feng (Mob. Networks Appl., 2018)

On the classification of dynamical data streams using novel "Anti-Bayesian" techniques. - Hugo Lewi Hammer; Anis Yazidi; B. John Oommen (Pattern Recognit., 2018)

Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. - Ashish Rauniyar; Jeevan Kunwar; Hårek Haugerud; Anis Yazidi; Paal Engelstad (DiCES-N@ICTAC, 2019)

Learning Fuzzy SPARQL User Preferences. - Olfa Slama; Anis Yazidi (ICTAI, 2019)

A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Carsten Griwodz (IPCCC, 2019)

Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios. - Anis Yazidi; Frederik Ung; Hårek Haugerud; Kyrre M. Begnum (ISCC, 2019)

Checking the OpenFlow Rule Installation and Operational Verification. - Ramtin Aryan; Frode Brattensborg; Anis Yazidi; Paal Einar Engelstad (LCN, 2019)

Optimizing Power and Energy Efficiency in Cloud Computing. - Naveed Khan; Hårek Haugerud; Raju Shrestha; Anis Yazidi (MEDES, 2019)

A Decentralized Approach for Homogenizing Load Distribution: In Cloud Data Center Based on Stable Marriage Matching. - Disha Sangar; Hårek Haugerud; Anis Yazidi; Kyrre M. Begnum (MEDES, 2019)

Minimum-Impact First: Scheduling Virtual Machines Under Maintenance Scenarios. - Anis Yazidi; Hårek Haugerud; Frederik Ung; Kyrre M. Begnum (MEDES, 2019)

Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming. - Cise Midoglu; Magnus Klausen; Özgü Alay; Anis Yazidi; Hårek Haugerud; Carsten Griwodz (S3@MobiCom, 2019)

Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi (NCA, 2019)

In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly. - Ramesh Pokhrel; Ashish Rauniyar; Anis Yazidi (PDCAT, 2019)

Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. - Jianhua Zhang 004; Peng Chen; Stefano Nichele; Anis Yazidi (SSCI, 2019)

A new quantile tracking algorithm using a generalized exponentially weighted average of observations. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Appl. Intell., 2019)

On solving the SPL problem using the concept of probability flux. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer (Appl. Intell., 2019)

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation. - Anis Yazidi; Hugo Lewi Hammer; Tore Møller Jonassen (Appl. Intell., 2019)

A general representation of dynamical systems for reservoir computing. - Sidney Pontes-Filho; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (CoRR, 2019)

On utilizing weak estimators to achieve the online classification of data streams. - Hanane Tavasoli; B. John Oommen; Anis Yazidi (Eng. Appl. Artif. Intell., 2019)

Multiplicative Update Methods for Incremental Quantile Estimation. - Anis Yazidi; Hugo Hammer (IEEE Trans. Cybern., 2019)

Autonomous Provisioning of Preemptive Instances in Google Cloud for Maximum Performance Per Dollar. - Hårek Haugerud; Jonas Krüger Svensson; Anis Yazidi (Cloudtech, 2020)

EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. - Sidney Pontes-Filho; Pedro G. Lind; Anis Yazidi; Jianhua Zhang; Hugo Hammer; Gustavo B. M. Mello; Ioanna Sandvig; Gunnar Tufte; Stefano Nichele (EvoApplications, 2020)

Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning. - Desta Haileselassie Hagos; Martin Løland; Anis Yazidi; Øivind Kure; Paal E. Engelstad (ICCCN, 2020)

Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies. - Ramtin Aryan; Anis Yazidi; Adel Bouhoula; Paal Einar Engelstad (LCN, 2020)

A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. - Ashish Rauniyar; Anis Yazidi; Paal Engelstad; Olav N. Østerbø (NCA, 2020)

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. - Debesh Jha; Anis Yazidi; Michael A. Riegler; Dag Johansen; Håvard D. Johansen; Pål Halvorsen (PDCAT, 2020)

Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. - Torgeir Fladby; Hårek Haugerud; Stefano Nichele; Kyrre M. Begnum; Anis Yazidi (RACS, 2020)

Edge Information Based Image Fusion Metrics Using Fractional Order Differentiation and Sigmoidal Functions. - Animesh Sengupta; Ayan Seal; Chinmaya Panigrahy; Ondrej Krejcar; Anis Yazidi (IEEE Access, 2020)

Distributed learning automata-based scheme for classification using novel pursuit scheme. - Morten Goodwin; Anis Yazidi (Appl. Intell., 2020)

A team of pursuit learning automata for solving deterministic optimization problems. - Anis Yazidi; Nourredine Bouhmala; Morten Goodwin (Appl. Intell., 2020)

Detection of abnormality in wireless capsule endoscopy images using fractal features. - Samir Jain; Ayan Seal; Aparajita Ojha; Ondrej Krejcar; Jan Bures; Ilja Tacheci; Anis Yazidi (Comput. Biol. Medicine, 2020)

A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training. - Laura Marcano; Davide Manca; Anis Yazidi; Tiina Komulainen (Comput. Chem. Eng., 2020)

On automated cloud bursting and hybrid cloud setups using Apache Mesos. - Hårek Haugerud; Noha Xue; Anis Yazidi (Concurr. Comput. Pract. Exp., 2020)

Mitigating DDoS using weight-based geographical clustering. - Madeleine Victoria Kongshavn; Hårek Haugerud; Anis Yazidi; Torleiv Maseng; Hugo Hammer (Concurr. Comput. Pract. Exp., 2020)

A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. - Marco A. Pinto-Orellana; Diego C. Nascimento; Peyman Mirtaheri; Rune Jonassen; Anis Yazidi; Hugo Lewi Hammer (CoRR, 2020)

Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. - Asieh Abolpour Mofrad; Anis Yazidi; Hugo Lewi Hammer; Erik Arntzen (Neural Comput., 2020)

Distributed Learning Automata-based S-learning scheme for classification. - Morten Goodwin; Anis Yazidi; Tore Møller Jonassen (Pattern Anal. Appl., 2020)

Smooth estimates of multiple quantiles in dynamically varying data streams. - Hugo Lewi Hammer; Anis Yazidi (Pattern Anal. Appl., 2020)

Tracking of multiple quantiles in dynamically varying data streams. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Pattern Anal. Appl., 2020)

Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center. - Disha Sangar; Ramesh Upreti; Hårek Haugerud; Kyrre M. Begnum; Anis Yazidi (Trans. Large Scale Data Knowl. Centered Syst., 2020)

The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. - Anis Yazidi; Xuan Zhang 007; Lei Jiao 001; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2020)

The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (ALIFE, 2021)

Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships. - Bekir Sahin; Anis Yazidi; Dumitru Roman; Ahmet Soylu (IEEE Access, 2021)

Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ali Selamat; Ondrej Krejcar (IEEE Access, 2021)

A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images. - Samir Jain; Ayan Seal; Aparajita Ojha; Anis Yazidi; Jan Bures; Ilja Tacheci; Ondrej Krejcar (Comput. Biol. Medicine, 2021)

DoS and DDoS mitigation using Variational Autoencoders. - Eirik Molde Bårli; Anis Yazidi; Enrique Herrera-Viedma; Hårek Haugerud (Comput. Networks, 2021)

A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. - Ramtin Aryan; Anis Yazidi; Øivind Kure; Paal Einar Engelstad (Concurr. Comput. Pract. Exp., 2021)

Expert Q-learning: Deep Q-learning With State Values From Expert Examples. - Li Meng 002; Anis Yazidi; Morten Goodwin; Paal Engelstad (CoRR, 2021)

Artificial Intelligence in Dry Eye Disease. - Andrea M. Storås; Inga Strümke; Michael A. Riegler; Jakob Grauslund; Hugo Lewi Hammer; Anis Yazidi; Pål Halvorsen; Kjell G. Gundersen; Tor Paaske Utheim; Catherine Jackson (CoRR, 2021)

A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization. - Hårek Haugerud; Huy Nhut Tran; Nadjib Aitsaadi; Anis Yazidi (Future Gener. Comput. Syst., 2021)

A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature. - Desta Haileselassie Hagos; Anis Yazidi; Øivind Kure; Paal E. Engelstad (IEEE Internet Things J., 2021)

Joint tracking of multiple quantiles through conditional quantiles. - Hugo Lewi Hammer; Anis Yazidi; Håvard Rue (Inf. Sci., 2021)

Single image dehazing using a new color channel. - Geet Sahu; Ayan Seal; Ondrej Krejcar; Anis Yazidi (J. Vis. Commun. Image Represent., 2021)

FER-net: facial expression recognition using deep neural net. - Karnati Mohan; Ayan Seal; Ondrej Krejcar; Anis Yazidi (Neural Comput. Appl., 2021)

On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments. - Asieh Abolpour Mofrad; Samaneh Abolpour Mofrad; Anis Yazidi; Matthew Geoffrey Parker (Neural Comput., 2021)

Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. - Asieh Abolpour Mofrad; Anis Yazidi; Samaneh Abolpour Mofrad; Hugo Lewi Hammer; Erik Arntzen (Neural Comput., 2021)

AWkS: adaptive, weighted k-means-based superpixels for improved saliency detection. - Ashish Kumar Gupta; Ayan Seal; Pritee Khanna; Ondrej Krejcar; Anis Yazidi (Pattern Anal. Appl., 2021)

Classification of Individual Finger Movements from Right Hand Using fNIRS Signals. - Haroon Khan; Farzan Majeed Noori; Anis Yazidi; Md. Zia Uddin; Malik Nasir Afzal Khan; Peyman Mirtaheri (Sensors, 2021)

Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. - Anis Yazidi; Hugo Lewi Hammer; Konstantin E. Samouylov; Enrique Herrera-Viedma (IEEE Trans. Cybern., 2021)

Gated Contextual Features for Salient Object Detection. - Ashish Kumar Gupta; Ayan Seal; Pritee Khanna; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2021)

Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks. - Karnati Mohan; Ayan Seal; Ondrej Krejcar; Anis Yazidi (IEEE Trans. Instrum. Meas., 2021)

DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG. - Ayan Seal; Rishabh Bajpai; Jagriti Agnihotri; Anis Yazidi; Enrique Herrera-Viedma; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2021)

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. - Anis Yazidi; Ismail Hassan; Hugo Lewi Hammer; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2021)

The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (AI, 2022)

HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. - Mehak Khan; Gustavo B. M. Mello; Paal Engelstad; Laurence Habib; Anis Yazidi (IEEE Big Data, 2022)

Learning Automata with Artificial Reflecting Barriers in Games with Limited Information. - Ismail Hassan; B. John Oommen; Anis Yazidi (FLAIRS, 2022)

Mitigating Yo-Yo attacks on cloud auto-scaling. - Meraj Mostam Kashi; Anis Yazidi; Hårek Haugerud (WMNC, 2022)

Genetic Algorithms For Tightening Security. - Fabrizio Palumbo; Adam Buji; Anis Yazidi; Hårek Haugerud (WMNC, 2022)

An Overview of Artificial Intelligence Used in Malware. - Lothar Fritsch; Aws Jaber; Anis Yazidi (NAIS, 2022)

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. - Li Meng 002; Anis Yazidi; Morten Goodwin; Paal Engelstad (NLDL, 2022)

An edge-driven multi-agent optimization model for infectious disease detection. - Youcef Djenouri; Gautam Srivastava 001; Anis Yazidi; Jerry Chun-Wei Lin (Appl. Intell., 2022)

A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays. - Karnati Mohan; Ayan Seal; Geet Sahu; Anis Yazidi; Ondrej Krejcar (Appl. Soft Comput., 2022)

Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression. - Surbhi Soni; Ayan Seal; Anis Yazidi; Ondrej Krejcar (Comput. Biol. Medicine, 2022)

Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks. - Ramesh Upreti; Ashish Rauniyar; Jeevan Kunwar; Hårek Haugerud; Paal Engelstad; Anis Yazidi (Concurr. Comput. Pract. Exp., 2022)

Improving the Diversity of Bootstrapped DQN via Noisy Priors. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2022)

Deep Reinforcement Learning with Swin Transformer. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2022)

Combining datasets to increase the number of samples and improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (CoRR, 2022)

A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. - Anis Yazidi; Magdalena Ivanovska; Fabio Massimo Zennaro; Pedro G. Lind; Enrique Herrera-Viedma (Eur. J. Oper. Res., 2022)

Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. - Hårek Haugerud; Mohamad Sobhie; Anis Yazidi (Frontiers Big Data, 2022)

SDN Spotlight: A real-time OpenFlow troubleshooting framework. - Ramtin Aryan; Anis Yazidi; Frode Brattensborg; Øivind Kure; Paal Einar Engelstad (Future Gener. Comput. Syst., 2022)

Towards the Neuroevolution of Low-level artificial general intelligence. - Sidney Pontes-Filho; Kristoffer Olsen; Anis Yazidi; Michael A. Riegler; Pål Halvorsen; Stefano Nichele (Frontiers Robotics AI, 2022)

A personality-aware group recommendation system based on pairwise preferences. - Roza Abolghasemi; Paal Engelstad; Enrique Herrera-Viedma; Anis Yazidi (Inf. Sci., 2022)

Contrastive autoencoder for anomaly detection in multivariate time series. - Hao Zhou 032; Ke Yu; Xuan Zhang; Guanlin Wu; Anis Yazidi (Inf. Sci., 2022)

Predicting missing pairwise preferences from similarity features in group decision making. - Roza Abolghasemi; Rabindra Khadka; Pedro G. Lind; Paal Engelstad; Enrique Herrera-Viedma; Anis Yazidi (Knowl. Based Syst., 2022)

Estimating Tukey depth using incremental quantile estimators. - Hugo Hammer; Anis Yazidi; Håvard Rue (Pattern Recognit., 2022)

FLEPNet: Feature Level Ensemble Parallel Network for Facial Expression Recognition. - Karnati Mohan; Ayan Seal; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Affect. Comput., 2022)

LieNet: A Deep Convolution Neural Network Framework for Detecting Deception. - Karnati Mohan; Ayan Seal; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Cogn. Dev. Syst., 2022)

Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. - Anis Yazidi; Marco Antonio Pinto-Orellana; Hugo Hammer; Peyman Mirtaheri; Enrique Herrera-Viedma (IEEE Trans. Cybern., 2022)

A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2022)

Machine learning based system for the automation of systematic literature reviews. - Radoslaw Pytlak; Barbara Bukhvalova; Pawel Cichosz; Bartlomiej Fajdek; Danica Grahek-Ogden; Bogdan Jastrzebski; Mehak Khan; Jacek Postupolski; Anis Yazidi; Robert Waszkowski (BIBM, 2023)

Unsupervised State Representation Learning in Partially Observable Atari Games. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CAIP (2), 2023)

Hybrid Genetic U-Net Algorithm for Medical Segmentation. - Jon-Olav Holland; Youcef Djenouri; Roufaida Laidi; Anis Yazidi (ICAART (3), 2023)

Shapley Deep Learning: A Consensus for General-Purpose Vision Systems. - Youcef Djenouri; Ahmed Nabil Belbachir; Tomasz P. Michalak; Anis Yazidi (ICCV (Workshops), 2023)

Combining datasets to improve model fitting. - Thu Nguyen 001; Rabindra Khadka; Nhan Phan; Anis Yazidi; Pål Halvorsen; Michael A. Riegler (IJCNN, 2023)

Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian. - Pernille Aaby; Daniel Biermann; Anis Yazidi; Gustavo Borges Moreno e Mello; Fabrizio Palumbo (SGAI Conf., 2023)

Efficient quantile tracking using an oracle. - Hugo Lewi Hammer; Anis Yazidi; Michael A. Riegler; Håvard Rue (Appl. Intell., 2023)

Unsupervised Representation Learning in Partially Observable Atari Games. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2023)

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. - Debesh Jha; Ashish Rauniyar; Abhishek Srivastava; Desta Haileselassie Hagos; Nikhil Kumar Tomar; Vanshali Sharma; Elif Keles; Zheyuan Zhang; Ugur Demir; Ahmet Topcu; Anis Yazidi; Jan Erik Håkegård; et al. (CoRR, 2023)

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. - Mohamed-Bachir Belaid; Jivitesh Sharma; Lei Jiao 001; Ole-Christoffer Granmo; Per-Arne Andersen; Anis Yazidi (CoRR, 2023)

S-Divergence-Based Internal Clustering Validation Index. - Krishna Kumar Sharma; Ayan Seal; Anis Yazidi; Ondrej Krejcar (Int. J. Interact. Multim. Artif. Intell., 2023)

Adaptive learning with artificial barriers yielding Nash equilibria in general games. - Ismail Hassan; B. John Oommen; Anis Yazidi (Knowl. Eng. Rev., 2023)

Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. - Mohamed Ould-Elhassen Aoueileyine; Hajar Bennouri; Amine Berqia; Pedro G. Lind; Hårek Haugerud; Ondrej Krejcar; Ridha Bouallegue; Anis Yazidi (Sensors, 2023)

Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey. - Karnati Mohan; Ayan Seal; Debotosh Bhattacharjee; Anis Yazidi; Ondrej Krejcar (IEEE Trans. Instrum. Meas., 2023)

Tsetlin Machine for Sentiment Analysis and Spam Review Detection in Chinese. - Xuanyu Zhang; Hao Zhou; Ke Yu; Xiaofei Wu; Anis Yazidi (Algorithms, 2023)

Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers. - Anis Yazidi; Daniel Silvestre; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. - Thomas Tveitstøl; Mats Tveter; Ana S. Pérez T.; Christoffer Hatlestad-Hall; Anis Yazidi; Hugo Lewi Hammer; Ira R. J. Hebold Haraldsen (Frontiers Neuroinformatics, 2023)

Interpretable intrusion detection for next generation of Internet of Things. - Youcef Djenouri; Asma Belhadi; Gautam Srivastava 001; Jerry Chun-Wei Lin; Anis Yazidi (Comput. Commun., 2023)

Benchmarks for machine learning in depression discrimination using electroencephalography signals. - Ayan Seal; Rishabh Bajpai; Karnati Mohan; Jagriti Agnihotri; Anis Yazidi; Enrique Herrera-Viedma; Ondrej Krejcar (Appl. Intell., 2023)

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol. - Ira R. J. Hebold Haraldsen; Christoffer Hatlestad-Hall; Camillo Marra; Hanna Renvall; Fernando Maestú; Jorge Acosta-Hernández; Soraya Alfonsin; Vebjørn Andersson; Abhilash Anand; Victor Ayllón; Aleksandar Babic; Asma Belhadi; et al. (Frontiers Neurorobotics, 2023)

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment. - Mohamed Ould-Elhassen Aoueileyine; Ramzi Allani; Ridha Bouallegue; Anis Yazidi (Sensors, 2023)

Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. - Tom Eivind Glover; Pedro G. Lind; Anis Yazidi; Evgeny Osipov; Stefano Nichele (Complex Syst., 2023)

Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal E. Engelstad (IEEE Trans. Games, 2023)

Detecting and Mitigating MitM Attack on IoT Devices Using SDN. - Mohamed Ould-Elhassen Aoueileyine; Neder Karmous; Ridha Bouallegue; Neji Youssef; Anis Yazidi (AINA (6), 2024)

Neurological Based Timing Mechanism for Reinforcement Learning. - Michael J. Tarlton; Gustavo B. M. Mello; Anis Yazidi (AAMAS, 2024)

A Manifold Representation of the Key in Vision Transformers. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CGI (2), 2024)

Inducing Inductive Bias in Vision Transformer for EEG Classification. - Rabindra Khadka; Pedro G. Lind; Gustavo B. M. Mello; Michael A. Riegler; Anis Yazidi (ICASSP, 2024)

Exploring Interpretable AI Methods for ECG Data Classification. - Jaya Ojha; Hårek Haugerud; Anis Yazidi; Pedro G. Lind (ICDAR@ICMR, 2024)

Intelligent Customer Behaviour Analysis in the Norwegian Market. - Kristian Brathovde; Youcef Djenouri; Anis Yazidi; Gautam Srivastava 001 (ICDEW, 2024)

Deep Reinforcement Learning with Swin Transformers. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (ICDSP, 2024)

State Representation Learning Using an Unbalanced Atlas. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal E. Engelstad (ICLR, 2024)

An Interpretable Graph Based Model for Classification Of EEG using Directional Functional Connectivity. - Mohamed Radwan; Pedro G. Lind; Anis Yazidi (ISBI, 2024)

Precision Medicine for Student Health: Insights from Tsetlin Machines into Chronic Pain and Psychological Distress. - Martin A. Gorosito; Anis Yazidi; Børge Sivertsen; Hårek Haugerud (xAI (4), 2024)

Maximum Manifold Capacity Representations in State Representation Learning. - Li Meng 002; Morten Goodwin; Anis Yazidi; Paal Engelstad (CoRR, 2024)

DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications. - Rabindra Khadka; Pedro G. Lind; Anis Yazidi; Asma Belhadi (CoRR, 2024)

Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity. - Shailendra Bhandari; Pedro Lencastre; Rujeena Mathema; Alexander Szorkovszky; Anis Yazidi; Pedro G. Lind (CoRR, 2024)

Deep learning approaches for protecting IoT devices in smart homes from MitM attacks. - Nader Karmous; Yassmine Ben Dhiab; Mohamed Ould-Elhassen Aoueileyine; Neji Youssef; Ridha Bouallegue; Anis Yazidi (Frontiers Comput. Sci., 2024)

A graph neural approach for group recommendation system based on pairwise preferences. - Roza Abolghasemi; Enrique Herrera-Viedma; Paal Engelstad; Youcef Djenouri; Anis Yazidi (Inf. Fusion, 2024)

A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board. - Geet Sahu; Ayan Seal; Anis Yazidi; Ondrej Krejcar (IEEE Trans Autom. Sci. Eng., 2024)

Deepfakes: current and future trends. - Ángel Fernández Gambín; Anis Yazidi; Athanasios V. Vasilakos; Hårek Haugerud; Youcef Djenouri (Artif. Intell. Rev., 2024)

Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics. - Youcef Djenouri; Anis Yazidi; Gautam Srivastava 001; Jerry Chun-Wei Lin (IEEE Consumer Electron. Mag., 2024)

HITS-based Propagation Paradigm for Graph Neural Networks. - Mehak Khan; Gustavo B. M. Mello; Laurence Habib; Paal Engelstad; Anis Yazidi (ACM Trans. Knowl. Discov. Data, 2024)

Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. - Youcef Djenouri; Asma Belhadi; Anis Yazidi; Gautam Srivastava 001; Jerry Chun-Wei Lin (Expert Syst. J. Knowl. Eng., 2024)

Trustworthy machine learning in the context of security and privacy. - Ramesh Upreti; Pedro G. Lind; Ahmed Elmokashfi; Anis Yazidi (Int. J. Inf. Sec., 2024)

The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Advancing EEG prediction with deep learning and uncertainty estimation. - Mats Tveter; Thomas Tveitstøl; Christoffer Hatlestad-Hall; Ana S. Pérez T.; Erik Taubøll; Anis Yazidi; Hugo Lewi Hammer; Ira R. J. Hebold Haraldsen (Brain Informatics, 2024)

A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem. - Anis Yazidi; Hugo Hammer; David S. Leslie (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning. - Mohamed-Bachir Belaid; Jivitesh Sharma; Lei Jiao 001; Ole-Christoffer Granmo; Per-Arne Andersen; Anis Yazidi (AAAI, 2025)

Learning Graph Representation of Agent Diffusers. - Youcef Djenouri; Nassim Belmecheri; Tomasz P. Michalak; Jan Dubinski; Ahmed Nabil Belbachir; Anis Yazidi (AAMAS, 2025)

Stochastic and deterministic processes in Asymmetric Tsetlin Machine. - Negar Elmisadr; Mohamed-Bachir Belaid; Anis Yazidi (Frontiers Artif. Intell., 2025)

DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications. - Rabindra Khadka; Pedro G. Lind; Anis Yazidi; Asma Belhadi (SoftwareX, 2025)

Examining Reject Relations in Stimulus Equivalence Simulations. - Alexis Carrillo; Asieh Abolpour Mofrad; Anis Yazidi; Moisés Betancort (CoRR, 2025)

From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Visual Concepts in Brain Signal Analysis. - Amirabbas Hojjati; Lu Li; Ibrahim A. Hameed; Anis Yazidi; Pedro G. Lind; Rabindra Khadka (CoRR, 2025)

Navigating Uncertainty: A User-Perspective Survey of Trustworthiness of AI in Healthcare. - Jaya Ojha; Oriana Presacan; Pedro G. Lind; Eric Monteiro; Anis Yazidi (ACM Trans. Comput. Heal., 2025)

A formal technique for automatic resolution of OpenFlow anomalies. - Ramtin Aryan; Anis Yazidi; Adel Bouhoula; Paal E. Engelstad (Int. J. Inf. Sec., 2025)

Grouping Interesting Patterns for Understanding Customer Behaviors. - Kristian Brathovde; Youcef Djenouri; Anis Yazidi; Gautam Srivastava 001 (IEEE Trans. Comput. Soc. Syst., 2025)