Blar i NTNU Open på forfatter "Yazidi, Anis"
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Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes
Abolpour Mofrad, Asieh; Yazidi, Anis; Hammer, Hugo Lewi; Arntzen, Erik (Journal article; Peer reviewed, 2020)Stimulus equivalence (SE) and projective simulation (PS) study complex behavior, the former in human subjects and the latter in artificial agents. We apply the PS learning framework for modeling the formation of equivalence ... -
Estimating tukey depth using incremental quantile estimators
Hammer, Hugo Lewi; Yazidi, Anis; Rue, Håvard (Peer reviewed; Journal article, 2022)Measures of distance or how data points are positioned relative to each other are fundamental in pattern recognition. The concept of depth measures how deep an arbitrary point is positioned in a dataset, and is an interesting ... -
Evading a Machine Learning-based Intrusion Detection System through Adversarial Perturbations
Fladby, Torgeir; Haugerud, Hårek; Nichele, Stefano; Begnum, Kyrre; Yazidi, Anis (Chapter, 2020)Machine-learning based Intrusion Detection and Prevention Systems provide significant value to organizations because they can efficiently detect previously unseen variations of known threats, new threats related to known ... -
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality
Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Chapter, 2020)Dynamical systems possess a computational capacity that may be exploited in a reservoir computing paradigm. This paper presents a general representation of dynamical systems which is based on matrix multiplication. That ... -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
Meng, Li; Yazidi, Anis; Goodwin, Morten; Engelstad, Paal (Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
Facial Expression Recognition Using Local Gravitational Force Descriptor-Based Deep Convolution Neural Networks
Mohan, Karnati; Seal, Ayan; Krejcar, Ondrej; Yazidi, Anis (Peer reviewed; Journal article, 2020)An image is worth a thousand words; hence, a face image illustrates extensive details about the specification, gender, age, and emotional states of mind. Facial expressions play an important role in community-based ... -
FLEPNet: Feature Level Ensemble Parallel Network for Facial Expression Recognition
Karnati, Mohan; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Journal article; Peer reviewed, 2022) -
A general representation of dynamical systems for reservoir computing
Pontes-Filho, Sidney; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, I.; Tufte, Gunnar; Nichele, Stefano (Chapter, 2019)Dynamical systems are capable of performing computation in a reservoir computing paradigm. This paper presents a general representation of these systems as an artificial neural network (ANN). Initially, we implement the ... -
General TCP state inference model from passive measurements using machine learning techniques
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind (Journal article; Peer reviewed, 2018)Many applications in the Internet use the reliable end-to-end Transmission Control Protocol (TCP) as a transport protocol due to practical considerations. There are many different TCP variants widely in use, and each variant ... -
Genetic Algorithms For Tightening Security
Palumbo, Fabrizio; Buji, Adam; Yazidi, Anis; Haugerud, Hårek (Chapter, 2022)Proper configuration of operating systems and program parameters is known to be a key security factor in order to remove vulnerabilities. It is known that vulnerabilities can be caused by a human misconfiguration or by an ... -
A graph neural approach for group recommendation system based on pairwise preferences
Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ... -
Graphical representation learning-based approach for automatic classification of electroencephalogram signals in depression
Soni, Surbhi; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Journal article; Peer reviewed, 2022)Depression is a major depressive disorder characterized by persistent sadness and a sense of worthlessness, as well as a loss of interest in pleasurable activities, which leads to a variety of physical and emotional problems. ... -
Harnessing Task Usage Prediction and Latency Sensitivity for Scheduling Workloads in Wind-Powered Data Centers
Osnes, Idun; Yazidi, Anis; Jacobsen, Hans-Arno; Eliassen, Frank; Sartori, Sabrina (Journal article; Peer reviewed, 2022)The growing number of data centers consumes a vast amount of energy for processing. There is a desire to reduce the environmental footprint of the IT industry, and one way to achieve this is to use renewable energy sources. ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
Meng, Li; Goodwin, Morten; Yazidi, Anis; Engelstad, Paal (Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
An intelligent collaborative image-sensing system for disease detection
Djenouri, Youcef; Belhadi, Asma; Yazidi, Anis; Srivastava, Gautam; Chatterjee, Pushpita; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)With the growth of smart medical devices and applications in smart hospitals, home care facilities, nursing, and the Internet of Medical Things (IoMT) are becoming more ubiquitous. It uses smart medical devices and cloud ... -
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark
Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (Journal article; Peer reviewed, 2023)Reservoir computing with cellular automata (ReCAs) is a promising concept by virtue of its potential for effective hardware implementation. In this paper, we explore elementary cellular automata rules in the context of ... -
Learning Automata with Artificial Reflecting Barriers in Games with Limited Information
Hassan, Ismail; Oommen, John B.; Yazidi, Anis (Journal article, 2022)This paper deals with the problem of solving stochastic games (which have numerous business and economic applications), using the interesting tools of Learning Automata (LA), the precursors to Reinforcement Learning (RL). ... -
LieNet: A deep convolution neural Network framework for detecting deception
Karnati, Mohan; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2022)Nowadays, automatic deception detection has received considerable attention in the machine learning community owing to this research interest to its vast applications in the fields of social media, interviews, law enforcement, ... -
Modern AI versus century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?
Rego Lencastre e Silva, Pedro; Gjersdal, Marit; Gorjão, Leonardo Rydin; Yazidi, Anis; Lind, Pedro (Peer reviewed; Journal article, 2023)The usage of generative adversarial networks (GAN)s for synthetic time-series data generation has been gaining popularity in recent years with applications from finance to music composition and processing of textual content. ...