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2020 – today
- 2024
[j100]Ángel Fernández Gambín, Anis Yazidi, Athanasios V. Vasilakos, Hårek Haugerud, Youcef Djenouri:
Deepfakes: current and future trends. Artif. Intell. Rev. 57(3): 64 (2024)- [j99]Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Ana S. Pérez T., Erik Taubøll, Anis Yazidi, Hugo Lewi Hammer, Ira R. J. Hebold Haraldsen:
Advancing EEG prediction with deep learning and uncertainty estimation. Brain Informatics 11(1): 27 (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) - [c113]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 - [c112]Michael J. Tarlton, Gustavo B. M. Mello, Anis Yazidi:
Neurological Based Timing Mechanism for Reinforcement Learning. AAMAS 2024: 2504-2506 - [c111]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 - [c110]Jaya Ojha, Hårek Haugerud, Anis Yazidi, Pedro G. Lind:
Exploring Interpretable AI Methods for ECG Data Classification. ICDAR@ICMR 2024: 11-18 - [c109]Kristian Brathovde, Youcef Djenouri, Anis Yazidi, Gautam Srivastava:
Intelligent Customer Behaviour Analysis in the Norwegian Market. ICDEW 2024: 71-77 - [c108]Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad:
State Representation Learning Using an Unbalanced Atlas. ICLR 2024 - [c107]Mohamed Radwan, Pedro G. Lind, Anis Yazidi:
An Interpretable Graph Based Model for Classification Of EEG using Directional Functional Connectivity. ISBI 2024: 1-5 - [c106]Martin A. Gorosito, Anis Yazidi, Børge Sivertsen, Hårek Haugerud:
Precision Medicine for Student Health: Insights from Tsetlin Machines into Chronic Pain and Psychological Distress. xAI (4) 2024: 42-65 - [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. 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]Anis Yazidi, Tore Møller Jonassen, Enrique Herrera-Viedma:
An aggregation approach for solving the non-linear fractional equality Knapsack problem. Expert Syst. Appl. 110: 323-334 (2018) - [j17]Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen:
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm. Int. J. Commun. Syst. 31(15) (2018) - [j16]Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum:
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata. J. Comput. Sci. 24: 290-312 (2018) - [j15]Hugo Lewi Hammer, Anis Yazidi, Alfred Bratterud, Hårek Haugerud, Boning Feng:
A Queue Model for Reliable Forecasting of Future CPU Consumption. Mob. Networks Appl. 23(4): 840-853 (2018) - [j14]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen:
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques. Pattern Recognit. 76: 108-124 (2018) - [c72]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. ICCCN 2018: 1-11 - [c71]Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen:
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions. AIAI 2018: 451-461 - [c70]Anis Yazidi, Hugo Lewi Hammer:
Quantile Estimation Based on the Principles of the Search on the Line. AIAI 2018: 481-492 - [c69]Ramtin Aryan, Anis Yazidi, Paal Einar Engelstad:
An Incremental Approach for Swift OpenFlow Anomaly Detection. LCN 2018: 502-510 - [c68]Hugo Lewi Hammer, Anis Yazidi:
Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes. MED 2018: 284-289 - [c67]Hugo Lewi Hammer, Anis Yazidi:
A Novel Incremental Quantile Estimator Using the Magnitude of the Observations. MED 2018: 290-295 - [c66]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. NCA 2018: 1-10 - [c65]Hajar Bennouri, Anis Yazidi, Amine Berqia:
A pursuit learning solution to underwater communications with limited mobility agents. RACS 2018: 112-117 - [c64]Bartosz Gembala, Anis Yazidi, Hårek Haugerud, Stefano Nichele:
Autonomous configuration of network parameters in operating systems using evolutionary algorithms. RACS 2018: 118-125 - [c63]Anis Yazidi, Hussein Abdi, Boning Feng:
Data center traffic scheduling with hot-cold link detection capabilities. RACS 2018: 268-275 - [c62]Alexander Paulsen, Anis Yazidi, Boning Feng, Xinming Ou:
A Population-Based Incremental Learning Approach to Network Hardening. SoMeT 2018: 941-953 - [c61]Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud, Asieh Abolpour Mofrad, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarms Using Embodied Evolution. SSCI 2018: 875-883 - [c60]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
A machine learning approach to TCP state monitoring from passive measurements. Wireless Days 2018: 164-171 - [i3]Erik Aaron Hansen, Stefano Nichele, Anis Yazidi, Hårek Haugerud, Asieh Abolpour Mofrad, Alex Alcocer:
Achieving Connectivity Between Wide Areas Through Self-Organising Robot Swarm Using Embodied Evolution. CoRR abs/1807.04505 (2018) - [i2]Bartosz Gembala, Anis Yazidi, Hårek Haugerud, Stefano Nichele:
Autonomous Configuration of Network Parameters in Operating Systems using Evolutionary Algorithms. CoRR abs/1808.10733 (2018) - 2017
- [j13]Anis Yazidi, B. John Oommen:
A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search. Inf. Sci. 393: 108-129 (2017) - [j12]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen:
"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids. Inf. Sci. 418: 495-512 (2017) - [j11]Anis Yazidi, Enrique Herrera-Viedma:
A new methodology for identifying unreliable sensors in data fusion. Knowl. Based Syst. 136: 85-96 (2017) - [j10]Morten Goodwin, Torry Tufteland, Guro Ødesneltvedt, Anis Yazidi:
PolyACO+: a multi-level polygon-based ant colony optimisation classifier. Swarm Intell. 11(3-4): 317-346 (2017) - [j9]Anis Yazidi, B. John Oommen, Morten Goodwin:
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments. IEEE Trans. Cybern. 47(7): 1604-1617 (2017) - [c59]Anis Yazidi, Hugo Lewi Hammer, B. John Oommen:
A Higher-Fidelity Frugal Quantile Estimator. ADMA 2017: 76-86 - [c58]Anis Yazidi, B. John Oommen, Morten Goodwin:
Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments. ADMA 2017: 741-753 - [c57]Noha Xue, Hårek Haugerud, Anis Yazidi:
Towards a Hybrid Cloud Platform Using Apache Mesos. AIMS 2017: 143-148 - [c56]Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. AINA 2017: 909-918 - [c55]Kabin Tamrakar, Anis Yazidi, Hårek Haugerud:
Cost Efficient Batch Processing in Amazon Cloud with Deadline Awareness. AINA 2017: 963-971 - [c54]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen:
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams. CEC 2017: 1173-1182 - [c53]Anis Yazidi, B. John Oommen:
Novel Results on Random Walk-Jump Chains That Possess Tree-Based Transitions. CORES 2017: 43-52 - [c52]Anis Yazidi, Hugo Lewi Hammer, Tore Møller Jonassen:
Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems. IEA/AIE (1) 2017: 92-101 - [c51]Hugo Lewi Hammer, Anis Yazidi:
Incremental Quantiles Estimators for Tracking Multiple Quantiles. IEA/AIE (1) 2017: 202-210 - [c50]Bilal Ahmad, Anis Yazidi, Hårek Haugerud, Soodeh Farokhi:
Orchestrating resource allocation for interactive vs. batch services using a hybrid controller. IM 2017: 1195-1203 - [c49]Madeleine Victoria Kongshavn, Anis Yazidi, Hårek Haugerud, Hugo Hammer:
Data Mining Approaches for IP Address Clustering. INISCOM 2017: 266-275 - [c48]Ramtin Aryan, Anis Yazidi, Paal Einar Engelstad, Øivind Kure:
A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. LCN 2017: 426-434 - [c47]Evangelos Tasoulas, Hugo Lewi Hammer, Hårek Haugerud, Anis Yazidi, Alfred Bratterud, Boning Feng:
The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements. NCA 2017: 113-117 - [c46]Asieh Abolpour Mofrad, Anis Yazidi, Hugo Lewi Hammer:
Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation. RACS 2017: 30-35 - [c45]Rajan Thapa, Lei Jiao, B. John Oommen, Anis Yazidi:
Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme. SmartGIFT 2017: 58-68 - 2016
- [j8]Morten Goodwin, Anis Yazidi:
A pattern recognition approach for peak prediction of electrical consumption. Integr. Comput. Aided Eng. 23(2): 101-113 (2016) - [j7]Anis Yazidi, B. John Oommen, Geir Horn, Ole-Christoffer Granmo:
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments. Pattern Recognit. 60: 430-443 (2016) - [j6]Anis Yazidi, B. John Oommen:
Novel Discretized Weak Estimators Based on the Principles of the Stochastic Search on the Line Problem. IEEE Trans. Cybern. 46(12): 2732-2744 (2016) - [c44]Morten Goodwin, Anis Yazidi:
Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons. ANTS Conference 2016: 53-64 - [c43]César A. Astudillo, Javier I. González, B. John Oommen, Anis Yazidi:
Concept Drift Detection Using Online Histogram-Based Bayesian Classifiers. Australasian Conference on Artificial Intelligence 2016: 175-182 - [c42]Morten Goodwin, Anis Yazidi, Tore Møller Jonassen:
Distributed learning automata for solving a classification task. CEC 2016: 3999-4006 - [c41]Anis Yazidi, Hugo Hammer, Aleksander Bai, Paal E. Engelstad:
On the feasibility of machine learning as a tool for automatic security classification: A position paper. ICNC 2016: 1-6 - [c40]Ratish Mohan, Anis Yazidi, Boning Feng, B. John Oommen:
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm. ICCNS 2016: 11-20 - [c39]Anis Yazidi, Hugo Lewi Hammer, B. John Oommen:
"Anti-Bayesian" Flat and Hierarchical Clustering Using Symmetric Quantiloids. IEA/AIE 2016: 56-67 - [c38]Hanane Tavasoli, B. John Oommen, Anis Yazidi:
On the Online Classification of Data Streams Using Weak Estimators. IEA/AIE 2016: 68-79 - [c37]Hugo Lewi Hammer, Anis Yazidi, Alfred Bratterud, Hårek Haugerud, Boning Feng:
Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data. INISCOM 2016: 14-28 - [c36]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal Engelstad:
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. INISCOM 2016: 122-134 - [c35]Anis Yazidi, Adel Bouhoula:
On Assisted Packet Filter Conflicts Resolution: An Iterative Relaxed Approach. LCN 2016: 35-42 - [c34]Ahmed Bouhoula, Anis Yazidi:
A security Policy Query Engine for fully automated resolution of anomalies in firewall configurations. NCA 2016: 76-80 - [c33]Akaki Jobava, Anis Yazidi, B. John Oommen, Kyrre M. Begnum:
Achieving Intelligent Traffic-Aware Consolidation of Virtual Machines in a Data Center Using Learning Automata. NTMS 2016: 1-5 - [c32]Gyorgi Stoykov, Anis Yazidi:
An enhanced biomorphic model for cloud scaling. SAC 2016: 462-469 - [c31]Hugo Lewi Hammer, Anis Yazidi, Kyrre M. Begnum:
Reliable modeling of CPU usage in an office worker environment. SAC 2016: 480-483 - [c30]Hugo Lewi Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Improving classification of tweets using word-word co-occurrence information from a large external corpus. SAC 2016: 1174-1177 - [c29]Anis Yazidi, Frode Eika Sandnes:
Data fusion without knowledge of the ground truth using Tseltin-like Automata. SMC 2016: 4501-4506 - [c28]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. WIMS 2016: 5:1-5:10 - [i1]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin Olsen, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. CoRR abs/1606.07233 (2016) - 2015
- [c27]Hugo Hammer, Anis Yazidi, Aleksander Bai, Paal E. Engelstad:
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus. CIIA 2015: 205-216 - [c26]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. CyberC 2015: 44-53 - [c25]Paal E. Engelstad, Hugo Hammer, Anis Yazidi, Aleksander Bai:
Analysis of Time-Dependencies in Automatic Security Classification. CyberC 2015: 54-61 - [c24]Anis Yazidi, B. John Oommen:
Solving Stochastic Root-Finding with adaptive d-ary search. EAIS 2015: 1-8 - [c23]Anis Yazidi, Hugo Lewi Hammer, Aleksander Bai, Paal Engelstad:
On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle. ICAISC 2015: 799-810 - [c22]Anis Yazidi, Aleksander Bai, Hugo Hammer, Paal Engelstad:
A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory. IEA/AIE 2015: 336-347 - [c21]Hugo Lewi Hammer, Anis Yazidi, B. John Oommen:
A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm. IEA/AIE 2015: 536-545 - [c20]Hugo Hammer, Kyrre Wahl Kongsgård, Aleksander Bai, Anis Yazidi, Nils Agne Nordbotten, Paal E. Engelstad:
Automatic security classification by machine learning for cross-domain information exchange. MILCOM 2015: 1590-1595 - [c19]Anis Yazidi, Hugo Hammer:
Quantile estimation using the theory of stochastic learning. RACS 2015: 7-14 - [c18]Gyorgi Stoykov, Anis Yazidi:
A Biomorphic Model for Automated Cloud Adaptation. UCC 2015: 179-185 - [c17]Anis Yazidi, B. John Oommen, Morten Goodwin Olsen:
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth. WI-IAT (2) 2015: 104-111 - [c16]Paal E. Engelstad, Hugo Hammer, Kyrre Wahl Kongsgård, Anis Yazidi, Nils Agne Nordbotten, Aleksander Bai:
Automatic Security Classification with Lasso. WISA 2015: 399-410 - 2014
- [j5]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen:
A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme. IEEE Trans. Cybern. 44(11): 2202-2220 (2014) - [c15]Thomas Hage, Kyrre M. Begnum, Anis Yazidi:
Saving the Planet with Bin Packing - Experiences Using 2D and 3D Bin Packing of Virtual Machines for Greener Clouds. CloudCom 2014: 240-245 - [c14]Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo, Morten Goodwin:
On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling. CSE 2014: 32-37 - [c13]Aleksander Bai, Hugo Hammer, Anis Yazidi, Paal Engelstad:
Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus. CSE 2014: 231-237 - [c12]Morten Goodwin Olsen, Anis Yazidi:
A Pattern Recognition Approach for Peak Prediction of Electrical Consumption. AIAI 2014: 265-275 - [c11]Hugo Hammer, Aleksander Bai, Anis Yazidi, Paal Engelstad:
Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses. NIK 2014 - 2013
- [j4]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns. IEEE Trans. Cybern. 43(3): 1118-1130 (2013) - [c10]Jaziar Radianti, Ole-Christoffer Granmo, Noureddine Bouhmala, Parvaneh Sarshar, Anis Yazidi, Jose J. Gonzalez:
Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing. HICSS 2013: 156-165 - 2012
- [j3]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
Service selection in stochastic environments: a learning-automaton based solution. Appl. Intell. 36(3): 617-637 (2012) - [j2]B. John Oommen, Anis Yazidi, Ole-Christoffer Granmo:
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators. J. Inf. Process. Syst. 8(2): 191-212 (2012) - [c9]Anis Yazidi, B. John Oommen, Ole-Christoffer Granmo:
A novel Stochastic Discretized Weak Estimator operating in non-stationary environments. ICNC 2012: 364-370 - [c8]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
A Stochastic Search on the Line-Based Solution to Discretized Estimation. IEA/AIE 2012: 764-773 - [c7]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Morten Goodwin Olsen:
A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem. IEA/AIE 2012: 774-783 - 2011
- [j1]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen, Martin Gerdes, Frank Reichert:
A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments. Wirel. Pers. Commun. 61(3): 543-566 (2011) - [c6]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
Tracking the Preferences of Users Using Weak Estimators. Australasian Conference on Artificial Intelligence 2011: 799-808 - [c5]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
On the analysis of a new Markov chain which has applications in AI and machine learning. CCECE 2011: 1553-1558 - [c4]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes. HAIS (1) 2011: 11-21 - 2010
- [c3]Ram Kumar, Andreas Häber, Anis Yazidi, Frank Reichert:
Towards a relation oriented service architecture. COMSNETS 2010: 1-8 - [c2]Anis Yazidi, Ole-Christoffer Granmo, B. John Oommen:
A Learning Automata Based Solution to Service Selection in Stochastic Environments. IEA/AIE (3) 2010: 209-218 - [c1]Anis Yazidi, Ole-Christoffer Granmo, Min Lin, Xifeng Wen, B. John Oommen, Martin Gerdes, Frank Reichert:
Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns. PRICAI 2010: 327-338
Coauthor Index
Morten Goodwin
aka: Morten Goodwin Olsen
aka: Morten Goodwin Olsen
Hugo Hammer
aka: Hugo Lewi Hammer
aka: Hugo Lewi Hammer
[j99] [j90] [j86] [j66] [j63] [j54] [j51] [j47] [j43] [i6] [j37] [j35] [j34] [j33] [c90] [i5] [j29] [j28] [j27] [j25] [i4] [j23] [j21] [j20] [j15] [j14] [c70] [c68] [c67] [j12] [c59] [c54] [c52] [c51] [c49] [c47] [c46] [c41] [c39] [c37] [c36] [c31] [c30] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c16] [c13] [c11]
Gustavo Borges Moreno e Mello
aka: Gustavo B. M. Mello
aka: Gustavo B. M. Mello
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the dblp computer science bibliography is funded and supported by:
