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2020 – today
- 2023
[j84]Xuanyu Zhang
, Hao Zhou, Ke Yu, Xiaofei Wu, Anis Yazidi:
Tsetlin Machine for Sentiment Analysis and Spam Review Detection in Chinese. Algorithms 16(2): 93 (2023)- [j83]Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue:
Efficient quantile tracking using an oracle. Appl. Intell. 53(1): 289-300 (2023) - [j82]Ayan Seal, Rishabh Bajpai, Karnati Mohan, Jagriti Agnihotri, Anis Yazidi, Enrique Herrera-Viedma, Ondrej Krejcar:
Benchmarks for machine learning in depression discrimination using electroencephalography signals. Appl. Intell. 53(10): 12666-12683 (2023) - [j81]Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Jerry Chun-Wei Lin, Anis Yazidi:
Interpretable intrusion detection for next generation of Internet of Things. Comput. Commun. 203: 192-198 (2023) - [j80]Mohamed Ould-Elhassen Aoueileyine, Hajar Bennouri, Amine Berqia, Pedro G. Lind, Hårek Haugerud, Ondrej Krejcar, Ridha Bouallegue, Anis Yazidi:
Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach. Sensors 23(8): 3877 (2023) - [j79]Karnati Mohan, Ayan Seal, Debotosh Bhattacharjee, Anis Yazidi, Ondrej Krejcar:
Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey. IEEE Trans. Instrum. Meas. 72: 1-31 (2023) - [j78]Anis Yazidi, Daniel Silvestre, B. John Oommen:
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers. IEEE Trans. Neural Networks Learn. Syst. 34(2): 650-661 (2023) - [c101]Jon-Olav Holland, Youcef Djenouri, Roufaida Laidi, Anis Yazidi:
Hybrid Genetic U-Net Algorithm for Medical Segmentation. ICAART (3) 2023: 558-564 - [c100]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9 - [i17]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR abs/2303.07437 (2023) - [i16]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, Ulas Bagci:
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR abs/2304.11530 (2023) - [i15]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
State Representation Learning Using an Unbalanced Atlas. CoRR abs/2305.10267 (2023) - 2022
- [j77]Youcef Djenouri, Gautam Srivastava, Anis Yazidi, Jerry Chun-Wei Lin:
An edge-driven multi-agent optimization model for infectious disease detection. Appl. Intell. 52(12): 14362-14373 (2022) - [j76]Karnati Mohan, Ayan Seal, Geet Sahu, Anis Yazidi, Ondrej Krejcar:
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays. Appl. Soft Comput. 125: 109109 (2022) - [j75]Surbhi Soni, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression. Comput. Biol. Medicine 145: 105420 (2022) - [j74]Ramesh Upreti, Ashish Rauniyar, Jeevan Kunwar, Hårek Haugerud, Paal Engelstad, Anis Yazidi:
Adaptive pursuit learning for energy-efficient target coverage in wireless sensor networks. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j73]Anis Yazidi, Magdalena Ivanovska, Fabio Massimo Zennaro, Pedro G. Lind, Enrique Herrera-Viedma:
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations. Eur. J. Oper. Res. 297(3): 1030-1041 (2022) - [j72]Hårek Haugerud, Mohamad Sobhie, Anis Yazidi:
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. Frontiers Big Data 5: 686416 (2022) - [j71]Ramtin Aryan, Anis Yazidi, Frode Brattensborg, Øivind Kure, Paal Einar Engelstad:
SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future Gener. Comput. Syst. 133: 364-377 (2022) - [j70]Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele:
Towards the Neuroevolution of Low-level artificial general intelligence. Frontiers Robotics AI 9 (2022) - [j69]Roza Abolghasemi, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi:
A personality-aware group recommendation system based on pairwise preferences. Inf. Sci. 595: 1-17 (2022) - [j68]Hao Zhou, Ke Yu, Xuan Zhang, Guanlin Wu, Anis Yazidi:
Contrastive autoencoder for anomaly detection in multivariate time series. Inf. Sci. 610: 266-280 (2022) - [j67]Roza Abolghasemi, Rabindra Khadka, Pedro G. Lind, Paal Engelstad, Enrique Herrera-Viedma, Anis Yazidi:
Predicting missing pairwise preferences from similarity features in group decision making. Knowl. Based Syst. 256: 109860 (2022) - [j66]Hugo Hammer, Anis Yazidi, Håvard Rue:
Estimating Tukey depth using incremental quantile estimators. Pattern Recognit. 122: 108339 (2022) - [j65]Karnati Mohan, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
FLEPNet: Feature Level Ensemble Parallel Network for Facial Expression Recognition. IEEE Trans. Affect. Comput. 13(4): 2058-2070 (2022) - [j64]Karnati Mohan, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
LieNet: A Deep Convolution Neural Network Framework for Detecting Deception. IEEE Trans. Cogn. Dev. Syst. 14(3): 971-984 (2022) - [j63]Anis Yazidi, Marco Antonio Pinto-Orellana, Hugo Hammer, Peyman Mirtaheri, Enrique Herrera-Viedma:
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics. IEEE Trans. Cybern. 52(1): 16-24 (2022) - [j62]Krishna Kumar Sharma, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [c99]Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen:
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. AI 2022: 507-518 - [c98]Mehak Khan, Gustavo B. M. Mello, Paal Engelstad, Laurence Habib, Anis Yazidi:
HITS-GNN: A Simplified Propagation Scheme for Graph Neural Networks. IEEE Big Data 2022: 5514-5519 - [c97]Ismail Hassan, B. John Oommen, Anis Yazidi:
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information. FLAIRS 2022 - [c96]Meraj Mostam Kashi, Anis Yazidi, Hårek Haugerud:
Mitigating Yo-Yo attacks on cloud auto-scaling. WMNC 2022: 46-53 - [c95]Fabrizio Palumbo, Adam Buji, Anis Yazidi, Hårek Haugerud:
Genetic Algorithms For Tightening Security. WMNC 2022: 62-69 - [c94]Lothar Fritsch, Aws Jaber, Anis Yazidi:
An Overview of Artificial Intelligence Used in Malware. NAIS 2022: 41-51 - [c93]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. NLDL 2022 - [e1]Evi Zouganeli, Anis Yazidi, Gustavo B. M. Mello, Pedro G. Lind:
Nordic Artificial Intelligence Research and Development - 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022, Revised Selected Papers. Communications in Computer and Information Science 1650, Springer 2022, ISBN 978-3-031-17029-4 [contents] - [i14]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Improving the Diversity of Bootstrapped DQN via Noisy Priors. CoRR abs/2203.01004 (2022) - [i13]Ismail Hassan, Anis Yazidi, B. John Oommen:
Adaptive Learning with Artificial Barriers Yielding Nash Equilibria in General Games. CoRR abs/2203.15780 (2022) - [i12]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Deep Reinforcement Learning with Swin Transformer. CoRR abs/2206.15269 (2022) - [i11]Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi, Michael A. Riegler, Pål Halvorsen, Stefano Nichele:
Towards the Neuroevolution of Low-level Artificial General Intelligence. CoRR abs/2207.13583 (2022) - [i10]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to increase the number of samples and improve model fitting. CoRR abs/2210.05165 (2022) - 2021
- [j61]Bekir Sahin, Anis Yazidi, Dumitru Roman, Ahmet Soylu:
Ontology-Based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships. IEEE Access 9: 40915-40932 (2021) - [j60]Krishna Kumar Sharma, Ayan Seal, Anis Yazidi, Ali Selamat, Ondrej Krejcar:
Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure. IEEE Access 9: 79505-79519 (2021) - [j59]Samir Jain, Ayan Seal, Aparajita Ojha, Anis Yazidi, Jan Bures, Ilja Tacheci, Ondrej Krejcar:
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images. Comput. Biol. Medicine 137: 104789 (2021) - [j58]Eirik Molde Bårli, Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud:
DoS and DDoS mitigation using Variational Autoencoders. Comput. Networks 199: 108399 (2021) - [j57]Ramtin Aryan, Anis Yazidi, Øivind Kure, Paal Einar Engelstad:
A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j56]Hårek Haugerud, Huy Nhut Tran, Nadjib Aitsaadi, Anis Yazidi:
A dynamic and scalable parallel Network Intrusion Detection System using intelligent rule ordering and Network Function Virtualization. Future Gener. Comput. Syst. 124: 254-267 (2021) - [j55]Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature. IEEE Internet Things J. 8(5): 3534-3553 (2021) - [j54]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
Joint tracking of multiple quantiles through conditional quantiles. Inf. Sci. 563: 40-58 (2021) - [j53]Geet Sahu, Ayan Seal, Ondrej Krejcar, Anis Yazidi:
Single image dehazing using a new color channel. J. Vis. Commun. Image Represent. 74: 103008 (2021) - [j52]Karnati Mohan, Ayan Seal, Ondrej Krejcar, Anis Yazidi:
FER-net: facial expression recognition using deep neural net. Neural Comput. Appl. 33(15): 9125-9136 (2021) - [j51]Asieh Abolpour Mofrad, Anis Yazidi, Samaneh Abolpour Mofrad, Hugo Lewi Hammer, Erik Arntzen:
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Comput. 33(2): 483-527 (2021) - [j50]Asieh Abolpour Mofrad, Samaneh Abolpour Mofrad, Anis Yazidi, Matthew Geoffrey Parker:
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments. Neural Comput. 33(9): 2550-2577 (2021) - [j49]Ashish Kumar Gupta, Ayan Seal, Pritee Khanna, Ondrej Krejcar, Anis Yazidi:
AWkS: adaptive, weighted k-means-based superpixels for improved saliency detection. Pattern Anal. Appl. 24(2): 625-639 (2021) - [j48]Haroon Khan, Farzan Majeed Noori, Anis Yazidi, Md. Zia Uddin, M. N. Afzal Khan, Peyman Mirtaheri:
Classification of Individual Finger Movements from Right Hand Using fNIRS Signals. Sensors 21(23): 7943 (2021) - [j47]Anis Yazidi, Hugo Lewi Hammer, Konstantin E. Samouylov, Enrique Herrera-Viedma:
Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth. IEEE Trans. Cybern. 51(12): 5706-5716 (2021) - [j46]Ashish Kumar Gupta, Ayan Seal, Pritee Khanna, Anis Yazidi, Ondrej Krejcar:
Gated Contextual Features for Salient Object Detection. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j45]Karnati Mohan, Ayan Seal, Ondrej Krejcar, Anis Yazidi:
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j44]Ayan Seal, Rishabh Bajpai, Jagriti Agnihotri, Anis Yazidi, Enrique Herrera-Viedma, Ondrej Krejcar:
DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j43]Anis Yazidi, Ismail Hassan, Hugo Lewi Hammer, B. John Oommen:
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3444-3457 (2021) - [c92]Tom Eivind Glover, Pedro G. Lind, Anis Yazidi, Evgeny Osipov, Stefano Nichele:
The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata. ALIFE 2021: 102 - [i9]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. CoRR abs/2101.02268 (2021) - [i8]Eirik Molde Bårli, Anis Yazidi, Enrique Herrera-Viedma, Hårek Haugerud:
DoS and DDoS Mitigation Using Variational Autoencoders. CoRR abs/2105.06899 (2021) - [i7]Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad:
Expert Q-learning: Deep Q-learning With State Values From Expert Examples. CoRR abs/2106.14642 (2021) - [i6]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:
Artificial Intelligence in Dry Eye Disease. CoRR abs/2109.01658 (2021) - 2020
- [j42]Animesh Sengupta, Ayan Seal, Chinmaya Panigrahy, Ondrej Krejcar, Anis Yazidi:
Edge Information Based Image Fusion Metrics Using Fractional Order Differentiation and Sigmoidal Functions. IEEE Access 8: 88385-88398 (2020) - [j41]Morten Goodwin, Anis Yazidi:
Distributed learning automata-based scheme for classification using novel pursuit scheme. Appl. Intell. 50(7): 2222-2238 (2020) - [j40]Anis Yazidi, Nourredine Bouhmala, Morten Goodwin:
A team of pursuit learning automata for solving deterministic optimization problems. Appl. Intell. 50(9): 2916-2931 (2020) - [j39]Samir Jain, Ayan Seal, Aparajita Ojha, Ondrej Krejcar, Jan Bures, Ilja Tacheci, Anis Yazidi:
Detection of abnormality in wireless capsule endoscopy images using fractal features. Comput. Biol. Medicine 127: 104094 (2020) - [j38]Laura Marcano, Davide Manca, Anis Yazidi, Tiina Komulainen:
A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training. Comput. Chem. Eng. 132 (2020) - [j37]Madeleine Victoria Kongshavn, Hårek Haugerud, Anis Yazidi, Torleiv Maseng, Hugo Hammer:
Mitigating DDoS using weight-based geographical clustering. Concurr. Comput. Pract. Exp. 32(11) (2020) - [j36]Hårek Haugerud, Noha Xue, Anis Yazidi:
On automated cloud bursting and hybrid cloud setups using Apache Mesos. Concurr. Comput. Pract. Exp. 32(17) (2020) - [j35]Asieh Abolpour Mofrad, Anis Yazidi, Hugo Lewi Hammer, Erik Arntzen:
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes. Neural Comput. 32(5): 912-968 (2020) - [j34]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
Tracking of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. 23(1): 225-237 (2020) - [j33]Hugo Lewi Hammer, Anis Yazidi:
Smooth estimates of multiple quantiles in dynamically varying data streams. Pattern Anal. Appl. 23(2): 555-566 (2020) - [j32]Morten Goodwin, Anis Yazidi, Tore Møller Jonassen:
Distributed Learning Automata-based S-learning scheme for classification. Pattern Anal. Appl. 23(3): 1235-1250 (2020) - [j31]Disha Sangar, Ramesh Upreti, Hårek Haugerud, Kyrre M. Begnum, Anis Yazidi:
Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center. Trans. Large Scale Data Knowl. Centered Syst. 45: 172-198 (2020) - [j30]Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen:
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. IEEE Trans. Neural Networks Learn. Syst. 31(2): 512-526 (2020) - [c91]Hårek Haugerud, Jonas Krüger Svensson, Anis Yazidi:
Autonomous Provisioning of Preemptive Instances in Google Cloud for Maximum Performance Per Dollar. Cloudtech 2020: 1-8 - [c90]Sidney Pontes-Filho, Pedro G. Lind, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello, Ioanna Sandvig, Gunnar Tufte, Stefano Nichele:
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. EvoApplications 2020: 133-148 - [c89]Desta Haileselassie Hagos, Martin Løland, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning. ICCCN 2020: 1-11 - [c88]Ramtin Aryan, Anis Yazidi, Adel Bouhoula, Paal Einar Engelstad:
Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies. LCN 2020: 357-360 - [c87]Ashish Rauniyar, Anis Yazidi, Paal Engelstad, Olav N. Østerbø:
A Reinforcement Learning based Game Theoretic Approach for Distributed Power Control in Downlink NOMA. NCA 2020: 1-10 - [c86]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT 2020: 285-296 - [c85]Torgeir Fladby, Hårek Haugerud, Stefano Nichele, Kyrre M. Begnum, Anis Yazidi:
Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations. RACS 2020: 161-166 - [i5]Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri, Rune Jonassen, Anis Yazidi, Hugo Lewi Hammer:
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy. CoRR abs/2001.08579 (2020)
2010 – 2019
- 2019
- [j29]Hugo Lewi Hammer, Anis Yazidi, Håvard Rue:
A new quantile tracking algorithm using a generalized exponentially weighted average of observations. Appl. Intell. 49(4): 1406-1420 (2019) - [j28]Asieh Abolpour Mofrad, Anis Yazidi, Hugo Lewi Hammer:
On solving the SPL problem using the concept of probability flux. Appl. Intell. 49(7): 2699-2722 (2019) - [j27]Anis Yazidi, Hugo Lewi Hammer, Tore Møller Jonassen:
Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation. Appl. Intell. 49(9): 3392-3405 (2019) - [j26]Hanane Tavasoli, B. John Oommen, Anis Yazidi:
On utilizing weak estimators to achieve the online classification of data streams. Eng. Appl. Artif. Intell. 86: 11-31 (2019) - [j25]Anis Yazidi, Hugo Hammer:
Multiplicative Update Methods for Incremental Quantile Estimation. IEEE Trans. Cybern. 49(3): 746-756 (2019) - [c84]Ashish Rauniyar, Jeevan Kunwar, Hårek Haugerud, Anis Yazidi, Paal Engelstad:
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. DiCES-N@ICTAC 2019: 133-147 - [c83]Olfa Slama, Anis Yazidi:
Learning Fuzzy SPARQL User Preferences. ICTAI 2019: 1457-1462 - [c82]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz:
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. IPCCC 2019: 1-10 - [c81]Anis Yazidi, Frederik Ung, Hårek Haugerud, Kyrre M. Begnum:
Affinity Aware-Scheduling of Live Migration of Virtual Machines Under Maintenance Scenarios. ISCC 2019: 1-4 - [c80]Ramtin Aryan, Frode Brattensborg, Anis Yazidi, Paal Einar Engelstad:
Checking the OpenFlow Rule Installation and Operational Verification. LCN 2019: 250-253 - [c79]Anis Yazidi, Hårek Haugerud, Frederik Ung, Kyrre M. Begnum:
Minimum-Impact First: Scheduling Virtual Machines Under Maintenance Scenarios. MEDES 2019: 213-218 - [c78]Naveed Khan, Hårek Haugerud, Raju Shrestha, Anis Yazidi:
Optimizing Power and Energy Efficiency in Cloud Computing. MEDES 2019: 256-261 - [c77]Disha Sangar, Hårek Haugerud, Anis Yazidi, Kyrre M. Begnum:
A Decentralized Approach for Homogenizing Load Distribution: In Cloud Data Center Based on Stable Marriage Matching. MEDES 2019: 292-299 - [c76]Cise Midoglu, Magnus Klausen, Özgü Alay, Anis Yazidi, Hårek Haugerud, Carsten Griwodz:
Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming. S3@MobiCom 2019: 13 - [c75]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi:
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. NCA 2019: 1-10 - [c74]Ramesh Pokhrel, Ashish Rauniyar, Anis Yazidi:
In the Quest of Trade-off between Job Parallelism and Throughput in Hadoop: A Stochastic Learning Approach for Parameter Tuning on the Fly. PDCAT 2019: 445-450 - [c73]Jianhua Zhang, Peng Chen, Stefano Nichele, Anis Yazidi:
Emotion Recognition Using Time-frequency Analysis of EEG Signals and Machine Learning*. SSCI 2019: 404-409 - [i4]Sidney Pontes-Filho, Anis Yazidi, Jianhua Zhang, Hugo Hammer, Gustavo B. M. Mello, Ioanna Sandvig, Gunnar Tufte, Stefano Nichele:
A general representation of dynamical systems for reservoir computing. CoRR abs/1907.01856 (2019) - 2018
- [j24]Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi:
A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids. IEEE Access 6: 5348-5361 (2018) - [j23]Anis Yazidi, Hugo Hammer, B. John Oommen:
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm. IEEE Access 6: 24362-24374 (2018) - [j22]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. IEEE Access 6: 28372-28387 (2018) - [j21]Hugo Lewi Hammer, Anis Yazidi:
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator. Appl. Intell. 48(11): 4096-4112 (2018) - [j20]Anis Yazidi, Hugo Lewi Hammer:
Solving stochastic nonlinear resource allocation problems using continuous learning automata. Appl. Intell. 48(11): 4392-4411 (2018) - [j19]Anis Yazidi, Frederik Ung, Hårek Haugerud, Kyrre M. Begnum:
Effective live migration of virtual machines using partitioning and affinity aware-scheduling. Comput. Electr. Eng. 69: 240-255 (2018) - [j18]