Fattane Zarrinkalam
Biographic Data
| ID | 1933560 |
|---|---|
| NAME | Fattane Zarrinkalam |
| GIVEN NAMES | Fattane |
| FAMILY NAME | Zarrinkalam |
| SIGNATURE | ZARRINKALAM F |
| AFFILIATIONS | University of Guelph |
| ORCID | 0000-0002-2102-9190 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
FusionGuard-E2P
Insider threat detection (ITD) remains a significant challenge in organizational cybersecurity. This is due to subtle behavioral patterns, pronounced class imbalance, and the need to integrate heterogeneous data sources. Traditional methods, relying on audit logs and rule-based heuristics, often fail to capture latent behavioral intent and complex feature interactions. To address these limitations, this article introduces FusionGuard-E2P, a light…
The Impact of Listening to Music on Stress Level for Anxiety, Depression, and PTSD
The intersection of music and mental health has gained increasing attention, with previous studies highlighting music’s potential to reduce stress and anxiety. Despite these promising findings, many of these studies are limited by small sample sizes and traditional observational methods, leaving a gap in our understanding of music’s broader impact on mental health. In response to these limitations, this study introduces a novel approach that comb…
User-Centric Modeling of Online Hate Through the Lens of Psycholinguistic Patterns and Behaviors in Social Media
Hate speech in social media is a growing problem that reinforces racial discrimination and mistrust between people, leading to physical crimes, violence, and fragmentation in world communities. Although previous studies showed the potential of user profiling in hate speech detection in social media, there has not been a thorough analysis of users’ characteristics and dispositions to understand the development of hate attitudes among users. To bri…
Entity linking of tweets based on dominant entity candidates
Entity linking of tweets based on dominant entity candidates
User-Centric Modeling of Online Hate Through the Lens of Psycholinguistic Patterns and Behaviors in Social Media
Hate speech in social media is a growing problem that reinforces racial discrimination and mistrust between people, leading to physical crimes, violence, and fragmentation in world communities. Although previous studies showed the potential of user profiling in hate speech detection in social media, there has not been a thorough analysis of users’ characteristics and dispositions to understand the development of hate attitudes among users. To bri…
The Impact of Listening to Music on Stress Level for Anxiety, Depression, and PTSD
The intersection of music and mental health has gained increasing attention, with previous studies highlighting music’s potential to reduce stress and anxiety. Despite these promising findings, many of these studies are limited by small sample sizes and traditional observational methods, leaving a gap in our understanding of music’s broader impact on mental health. In response to these limitations, this study introduces a novel approach that comb…
FusionGuard-E2P
Insider threat detection (ITD) remains a significant challenge in organizational cybersecurity. This is due to subtle behavioral patterns, pronounced class imbalance, and the need to integrate heterogeneous data sources. Traditional methods, relying on audit logs and rule-based heuristics, often fail to capture latent behavioral intent and complex feature interactions. To address these limitations, this article introduces FusionGuard-E2P, a light…
Computer Science (2 works) · Active listening (1 work) · Advanced Graph Neural Networks (1 work) · Adversarial Robustness in Machine Learning (1 work) · Annotation (1 work) · Anomaly Detection Techniques and Applications (1 work) · Anxiety (1 work) · Artificial Intelligence (1 work) · Audiology (1 work) · Clinical Psychology (1 work)