Browsing NTNU Open by Author "Hashmi, Ehtesham"
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Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Yamin, Muhammad Mudassar; Ali, Subhan; Abomhara, Mohamed Ali Saleh (Journal article; Peer reviewed, 2024)The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often ... -
Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques
Ali, Hashir; Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Shaikh, Sarang (Journal article; Peer reviewed, 2024)In recent years, online shopping has surged in popularity, with customer reviews becoming a crucial aspect of the decision-making process. Reviews not only help potential customers make informed choices, but also provide ... -
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Shaikh, Sarang (Journal article; Peer reviewed, 2024)People in the modern digital era are increasingly embracing social media platforms to express their concerns and emotions in the form of reviews or comments. While positive interactions within diverse communities can ... -
Benign Paroxysmal Positional Vertigo Disorders Classification Using Eye Tracking Data
Hashmi, Ehtesham; Yamin, Muhammad Mudassar; Beghdadi, Azeddine; Alaya Cheikh, Faouzi; Ullah, Mohib (IFIP Advances in Information and Communication Technology;, Chapter, 2024)Nystagmus is a neurological condition characterized by involuntary and rhythmic eye movements. These abnormal eye movements can be indicative of various underlying neurological and vestibular disorders, impacting visual ... -
Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Yamin, Muhammad Mudassar; Ullah, Mohib (Journal article; Peer reviewed, 2024)Gendered disinformation undermines women’s rights, democratic principles, and national security by worsening societal divisions through authoritarian regimes’ intentional weaponization of social media. Online misogyny ... -
Enhancing Misogyny Detection in Bilingual Texts Using FastText and Explainable AI
Hashmi, Ehtesham; Yamin, Muhammad Mudassar; Imran, Ali Shariq; Yildirim-Yayilgan, Sule; Ullah, Mohib (Chapter, 2024)Gendered disinformation not only harms women's rights and democratic norms, but it also threatens national security by worsening societal divisions through authoritarian regimes' intentional weaponization of social media. ... -
Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule; Hameed, Ibrahim A.; Yamin, Muhammad Mudassar; Ullah, Mohib; Abomhara, Mohamed (Journal article; Peer reviewed, 2024)The rise of social media has enabled individuals with biased perspectives to spread hate speech, directing it toward individuals based on characteristics such as race, gender, religion, or sexual orientation. Constructive ... -
Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule (Journal article; Peer reviewed, 2024)The growth of social networks has provided a platform for individuals with prejudiced views, allowing them to spread hate speech and target others based on their gender, ethnicity, religion, or sexual orientation. While ... -
A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews
Hashmi, Ehtesham; Yildirim-Yayilgan, Sule (Peer reviewed; Journal article, 2024) -
Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
Hashmi, Ehtesham; Yamin, Muhammad Mudassar; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2024)This survey paper explores the transformative role of Artificial Intelligence (AI) in information security. Traditional methods, especially rule-based approaches, faced significant challenges in protecting sensitive data ... -
A Self-Supervised Diffusion Framework For Facial Emotion Recognition
Hassan, Saif; Ullah, Mohib; Imran, Ali Shariq; Mujtaba, Ghulam; Yamin, Muhammad Mudassar; Hashmi, Ehtesham; Cheikh, Faouzi Alaya; Beghdadi, Azeddine Boutkhil (Proceedings of IEEE International Conference on Image Processing;, Chapter, 2024) -
SMT: Self-supervised Approach for Multiple Animal Detection and Tracking
Moosa, Muhammad; Yamin, Muhammad Mudassar; Hashmi, Ehtesham; Beghdadi, Azeddine; Imran, Ali Shariq; Alaya Cheikh, Faouzi; Ullah, Mohib (IFIP Advances in Information and Communication Technology;, Chapter, 2024)In the domain of animal farming and wildlife management, monitoring animal behavior and movement is crucial. This paper proposes an efficient online multi-object tracking framework named SMT (Self-supervised Multi-animal ...