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pro vyhledávání: '"Kamran Aziz"'
Autor:
Kamran Aziz, Donghong Ji, Prasun Chakrabarti, Tulika Chakrabarti, Muhammad Shahid Iqbal, Rashid Abbasi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Aspect-Based Sentiment Analysis (ABSA) represents a fine-grained approach to sentiment analysis, aiming to pinpoint and evaluate sentiments associated with specific aspects within a text. ABSA encompasses a set of sub-tasks that together fac
Externí odkaz:
https://doaj.org/article/d2b8f489cda940dca15eb6712b071aeb
Autor:
Kamran Aziz, Naveed Ahmed, Hassan Jalil Hadi, Aizihaierjiang Yusufu, Mohammaed Ali Alshara, Yasir Javed, Donghong Ji
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 9, Pp 102221- (2024)
Urdu, with its rich linguistic complexity, poses significant challenges for computational sentiment analysis. This study presents an enhanced version of UrduAspectNet, specifically designed for Aspect-Based Sentiment Analysis (ABSA) in Urdu. We intro
Externí odkaz:
https://doaj.org/article/bf7bc25d29b842db99458cd74a67cc3e
Autor:
Umair Tariq, Zonghai Hu, Khawaja Tauseef Tasneem, Md Belal Bin Heyat, Muhammad Shahid Iqbal, Kamran Aziz
Publikováno v:
IEEE Access, Vol 12, Pp 162622-162637 (2024)
Zero-shot learning (ZSL) in a multi-model environment presents significant challenges and opportunities for improving cross-modal retrieval and object detection in unseen data. This study introduced a novel embedding approach of vector space clusteri
Externí odkaz:
https://doaj.org/article/1b58d658c93a4699904a429fc1c54d07
Publikováno v:
IEEE Access, Vol 12, Pp 162028-162039 (2024)
Effective drug combination prediction is crucial for the success of drug discovery, but it is a challenging task due to drug-drug interactions and potential adverse drug reactions. In this work, a novel technique to DDI prediction using knowledge gra
Externí odkaz:
https://doaj.org/article/b2d0f634f1464b448e54359060cf40c5
Autor:
Kamran Aziz, Feng Chen, Inamullah Khan, Shabir Hussain Khahro, Muhammad Abdul Malik, Zubair Ahmed Memon, Afaq Khattak
Publikováno v:
IEEE Access, Vol 12, Pp 139540-139559 (2024)
Millions of lives are lost in road accidents annually, underscoring the severity of traffic incidents. Despite numerous studies on crash severity forecasting with static ensemble machine learning, the potential of Dynamic Ensemble Selection (DES) for
Externí odkaz:
https://doaj.org/article/5c05a5c0be5545d4838d370451d50290
Autor:
Kamran Aziz, Mansoura Ismail, Rizwan Ahmad, Ahmed Sameer AlNuaimi, Marwa Bibars, Muna Mehdar AlSaadi
Publikováno v:
Preventive Medicine Reports, Vol 38, Iss , Pp 102595- (2024)
Annual influenza vaccination is an effective way to reduce the burden of disease throughout the year. A cross-sectional study was conducted in primary healthcare centres in Qatar to determine vaccination coverage among physicians, motivators, and bar
Externí odkaz:
https://doaj.org/article/6fbefee68f9845b79797ad68e3d4c9ba
Autor:
Asif Mahmood, Kamran Aziz, Shahid Ahmed, Zahid Farooq Baig, Wasim Wali Muhammad, Muhammad Khalid Rahman
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 68, Iss 5, Pp 1219-1224 (2018)
Objective: To determine the frequency of acute complications of hemodialysis in adult age group at a tertiary care centre. Study Design: Descriptive study. Place and Duration of Study: Department of Medicine, Combined Military Hospital Lahore, fro
Externí odkaz:
https://doaj.org/article/deb9a03dda2b4e4abfa156fcff98ddd5
Publikováno v:
Srpski Arhiv za Celokupno Lekarstvo, Vol 149, Iss 3-4, Pp 251-252 (2021)
nema
Externí odkaz:
https://doaj.org/article/a67a7a81179a4994994135d16522c5a1
Akademický článek
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Publikováno v:
Journal of Advances in Medical Education & Professionalism. Dec2022, Vol. 11 Issue 1, p61-67. 7p.