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Anis Yazidi
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2020 – today
- 2024
- [j99]Ángel Fernández Gambín, Anis Yazidi, Athanasios V. Vasilakos, Hårek Haugerud, Youcef Djenouri:
Deepfakes: current and future trends. Artif. Intell. Rev. 57(3): 64 (2024) - [j98]Youcef Djenouri, Anis Yazidi, Gautam Srivastava, Jerry Chun-Wei Lin:
Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics. IEEE Consumer Electron. Mag. 13(2): 36-41 (2024) - [j97]Youcef Djenouri, Asma Belhadi, Anis Yazidi, Gautam Srivastava, Jerry Chun-Wei Lin:
Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. Expert Syst. J. Knowl. Eng. 41(6) (2024) - [j96]Ramesh Upreti, Pedro G. Lind, Ahmed Elmokashfi, Anis Yazidi:
Trustworthy machine learning in the context of security and privacy. Int. J. Inf. Sec. 23(3): 2287-2314 (2024) - [j95]Roza Abolghasemi, Enrique Herrera-Viedma, Paal Engelstad, Youcef Djenouri, Anis Yazidi:
A graph neural approach for group recommendation system based on pairwise preferences. Inf. Fusion 107: 102343 (2024) - [j94]Geet Sahu, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
A Dual-Channel Dehaze-Net for Single Image Dehazing in Visual Internet of Things Using PYNQ-Z2 Board. IEEE Trans Autom. Sci. Eng. 21(1): 305-319 (2024) - [j93]Mehak Khan, Gustavo B. M. Mello, Laurence Habib, Paal Engelstad, Anis Yazidi:
HITS-based Propagation Paradigm for Graph Neural Networks. ACM Trans. Knowl. Discov. Data 18(4): 100:1-100:23 (2024) - [j92]Rebekka Olsson Omslandseter, Lei Jiao, Xuan Zhang, Anis Yazidi, B. John Oommen:
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8278-8292 (2024) - [c112]Mohamed Ould-Elhassen Aoueileyine, Neder Karmous, Ridha Bouallegue, Neji Youssef, Anis Yazidi:
Detecting and Mitigating MitM Attack on IoT Devices Using SDN. AINA (6) 2024: 320-330 - [c111]Michael J. Tarlton, Gustavo B. M. Mello, Anis Yazidi:
Neurological Based Timing Mechanism for Reinforcement Learning. AAMAS 2024: 2504-2506 - [c110]Rabindra Khadka, Pedro G. Lind, Gustavo B. M. Mello, Michael A. Riegler, Anis Yazidi:
Inducing Inductive Bias in Vision Transformer for EEG Classification. ICASSP 2024: 2096-2100 - [c109]Jaya Ojha, Hårek Haugerud, Anis Yazidi, Pedro G. Lind:
Exploring Interpretable AI Methods for ECG Data Classification. ICDAR@ICMR 2024: 11-18 - [c108]Kristian Brathovde, Youcef Djenouri, Anis Yazidi, Gautam Srivastava:
Intelligent Customer Behaviour Analysis in the Norwegian Market. ICDEW 2024: 71-77 - [c107]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
State Representation Learning Using an Unbalanced Atlas. ICLR 2024 - [c106]Mohamed Radwan, Pedro G. Lind, Anis Yazidi:
An Interpretable Graph Based Model for Classification Of EEG using Directional Functional Connectivity. ISBI 2024: 1-5 - [i20]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
A Manifold Representation of the Key in Vision Transformers. CoRR abs/2402.00534 (2024) - [i19]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Maximum Manifold Capacity Representations in State Representation Learning. CoRR abs/2405.13848 (2024) - 2023
- [j91]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) - [j90]Hugo Lewi Hammer, Anis Yazidi, Michael A. Riegler, Håvard Rue:
Efficient quantile tracking using an oracle. Appl. Intell. 53(1): 289-300 (2023) - [j89]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) - [j88]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) - [j87]Tom Eivind Glover, Pedro G. Lind, Anis Yazidi, Evgeny Osipov, Stefano Nichele:
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark. Complex Syst. 32(3): 309-351 (2023) - [j86]Thomas Tveitstøl, Mats Tveter, Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazidi, Hugo Lewi Hammer, Ira R. J. Hebold Haraldsen:
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. Frontiers Neuroinformatics 17 (2023) - [j85]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, Cindy Birck, Ricardo Bruña, Naike Caraglia, Claudia Carrarini, Erik Christensen, Americo Cicchetti, Signe Daugbjerg, Rossella Di Bidino, Ana Diaz-Ponce, Ainar Drews, Guido Maria Giuffrè, Jean Georges, Pedro Gil-Gregorio, Dianne Gove, Tim M. Govers, Harry Hallock, Marja Hietanen, Lone Holmen, Jaakko Hotta, Samuel Kaski, Rabindra Khadka, Antti S. Kinnunen, Anne M. Koivisto, Shrikanth Kulashekhar, Denis Larsen, Mia Liljeström, Pedro G. Lind, Alberto Marcos Dolado, Serena Elizabeth Marshall, Susanne Merz, Francesca Miraglia, Juha Montonen, Ville Mäntynen, Anne Rita Øksengård, Javier Olazarán, Teemu Paajanen, José M. Peña, Luís Peña, Daniel lrabien Peniche, Ana S. Pérez, Mohamed Radwan, Federico Ramírez-Toraño, Andrea Rodríguez-Pedrero, Timo Saarinen, Mario Salas-Carrillo, Riitta Salmelin, Sonia Sousa, Abdillah Suyuthi, Mathias Toft, Pablo Toharia, Thomas Tveitstøl, Mats Tveter, Ramesh Upreti, Robin J. Vermeulen, Fabrizio Vecchio, Anis Yazidi, Paolo Maria Rossini:
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. Frontiers Neurorobotics 17 (2023) - [j84]Krishna Kumar Sharma, Ayan Seal, Anis Yazidi, Ondrej Krejcar:
S-Divergence-Based Internal Clustering Validation Index. Int. J. Interact. Multim. Artif. Intell. 8(4): 127 (2023) - [j83]Ismail Hassan, B. John Oommen, Anis Yazidi:
Adaptive learning with artificial barriers yielding Nash equilibria in general games. Knowl. Eng. Rev. 38 (2023) - [j82]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) - [j81]Mohamed Ould-Elhassen Aoueileyine, Ramzi Allani, Ridha Bouallegue, Anis Yazidi:
Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment. Sensors 23(21): 8771 (2023) - [j80]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. IEEE Trans. Games 15(4): 580-589 (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) - [c105]Radoslaw Pytlak, Barbara Bukhvalova, Pawel Cichosz, Bartlomiej Fajdek, Danica Grahek-Ogden, Bogdan Jastrzebski, Mehak Khan, Jacek Postupolski, Anis Yazidi, Robert Waszkowski:
Machine learning based system for the automation of systematic literature reviews. BIBM 2023: 4389-4397 - [c104]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised State Representation Learning in Partially Observable Atari Games. CAIP (2) 2023: 212-222 - [c103]Jon-Olav Holland, Youcef Djenouri, Roufaida Laidi, Anis Yazidi:
Hybrid Genetic U-Net Algorithm for Medical Segmentation. ICAART (3) 2023: 558-564 - [c102]Youcef Djenouri, Ahmed Nabil Belbachir, Tomasz P. Michalak, Anis Yazidi:
Shapley Deep Learning: A Consensus for General-Purpose Vision Systems. ICCV (Workshops) 2023: 1216-1225 - [c101]Thu Nguyen, Rabindra Khadka, Nhan Phan, Anis Yazidi, Pål Halvorsen, Michael A. Riegler:
Combining datasets to improve model fitting. IJCNN 2023: 1-9 - [c100]Pernille Aaby, Daniel Biermann, Anis Yazidi, Gustavo Borges Moreno e Mello, Fabrizio Palumbo:
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian. SGAI Conf. 2023: 47-58 - [i18]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
Unsupervised Representation Learning in Partially Observable Atari Games. CoRR abs/2303.07437 (2023) - [i17]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) - [i16]Li Meng, Morten Goodwin, Anis Yazidi, Paal Engelstad:
State Representation Learning Using an Unbalanced Atlas. CoRR abs/2305.10267 (2023) - [i15]Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi:
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. CoRR abs/2310.02005 (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, Malik Nasir 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.