Arash Mahyari
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View article: Multidimensional biocircuitry of exercise adaptation: integrating in vivo and ex vivo phenomics with miRNA mapping
Multidimensional biocircuitry of exercise adaptation: integrating in vivo and ex vivo phenomics with miRNA mapping Open
We examined in vivo and ex vivo adaptations to traditional moderate-intensity endurance and resistance training (TRAD) versus high-intensity tactical training (HITT; explosive whole-body interval training and high-intensity resistance trai…
View article: Visual Adaptive Prompting for Compositional Zero-Shot Learning
Visual Adaptive Prompting for Compositional Zero-Shot Learning Open
Vision-Language Models (VLMs) have demonstrated impressive multimodal capabilities in learning joint representations of visual and textual data, making them powerful tools for tasks such as Compositional Zero-Shot Learning (CZSL). CZSL req…
View article: Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection With Few Samples
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection With Few Samples Open
As networks continue to expand and become more interconnected, the need for novel malware detection methods becomes more pronounced. Traditional security measures are increasingly inadequate against the sophistication of modern cyber attac…
View article: RID-Rihaczek Phase Synchrony Method Applied to Resting-State EEG: Simultaneous prediction of visuospatial tracking, verbal communication, executive function, neuro-cognitive health, and intelligence
RID-Rihaczek Phase Synchrony Method Applied to Resting-State EEG: Simultaneous prediction of visuospatial tracking, verbal communication, executive function, neuro-cognitive health, and intelligence Open
Brain activity at a resting state and functional connectivity represent individuals’ neural configurations that can be used to predict various performance and trait measures. Yet, most of the previous empirical demonstrations of this pheno…
View article: Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples Open
As networks continue to expand and become more interconnected, the need for novel malware detection methods becomes more pronounced. Traditional security measures are increasingly inadequate against the sophistication of modern cyber attac…
View article: A Transformer-Based Framework for Payload Malware Detection and Classification
A Transformer-Based Framework for Payload Malware Detection and Classification Open
As malicious cyber threats become more sophisticated in breaching computer networks, the need for effective intrusion detection systems (IDSs) becomes crucial. Techniques such as Deep Packet Inspection (DPI) have been introduced to allow I…
View article: A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities Open
Software vulnerabilities, caused by unintentional flaws in source codes, are the main root cause of cyberattacks. Source code static analysis has been used extensively to detect the unintentional defects, i.e. vulnerabilities, introduced i…
View article: Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution
Real-Time Learning from An Expert in Deep Recommendation Systems with Marginal Distance Probability Distribution Open
Recommendation systems play an important role in today's digital world. They have found applications in various applications such as music platforms, e.g., Spotify, and movie streaming services, e.g., Netflix. Less research effort has been…
View article: Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks
Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks Open
Unhealthy behaviors, e.g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries. Pervasive computational, sensing, and communication technology provided by smartphones and smartwat…
View article: Policy Augmentation: An Exploration Strategy For Faster Convergence of Deep Reinforcement Learning Algorithms
Policy Augmentation: An Exploration Strategy For Faster Convergence of Deep Reinforcement Learning Algorithms Open
Despite advancements in deep reinforcement learning algorithms, developing an effective exploration strategy is still an open problem. Most existing exploration strategies either are based on simple heuristics, or require the model of the …
View article: Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning
Robust Predictive Maintenance for Robotics via Unsupervised Transfer Learning Open
Industrial robots play an increasingly important role in a growing number of fields. Since the breakdown of a single robot may have a negative impact on the entire process, predictive maintenance systems have gained importance as an essent…
View article: Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks (Preprint)
Physical Exercise Recommendation and Success Prediction Using Interconnected Recurrent Neural Networks (Preprint) Open
BACKGROUND Unhealthy behaviors, e.g., physical inactivity and unhealthful food choice, are the primary healthcare cost drivers in developed countries. Pervasive computational, sensing, and communication technology provided by smartphones …
View article: Domain Adaptation in Robot Fault Diagnostic Systems.
Domain Adaptation in Robot Fault Diagnostic Systems. Open
Industrial robots play an important role in manufacturing process. Since robots are usually set up in parallel-serial settings, breakdown of a single robot has a negative effect on the entire manufacturing process in that it slows down the…
View article: Domain Adaptation for Robot Predictive Maintenance Systems
Domain Adaptation for Robot Predictive Maintenance Systems Open
Industrial robots play an increasingly important role in a growing number of fields. For example, robotics is used to increase productivity while reducing costs in various aspects of manufacturing. Since robots are often set up in producti…