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Ali Mustafa Qamar
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2020 – today
- 2024
- [j17]Fatima Mustafa Alderazi, Abdulelah Abdallah Algosaibi, Mohammed Abdulrahman Alabdullatif, Hafiz Farooq Ahmad, Ali Mustafa Qamar, Abdulaziz Albarrak:
Generative artificial intelligence in topic-sentiment classification for Arabic text: a comparative study with possible future directions. PeerJ Comput. Sci. 10: e2081 (2024) - 2023
- [j16]Durr-e-Nayab, Rehan Ullah Khan, Ali Mustafa Qamar:
Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets. Appl. Comput. Intell. Soft Comput. 2023: 5542049:1-5542049:10 (2023) - [j15]Aishah Alrashidi, Ali Mustafa Qamar:
Data-Driven Load Forecasting Using Machine Learning and Meteorological Data. Comput. Syst. Sci. Eng. 44(3): 1973-1988 (2023) - 2022
- [j14]Khalil Khan, Rehan Ullah Khan, Waleed Albattah, Ali Mustafa Qamar:
End-to-End Semantic Leaf Segmentation Framework for Plants Disease Classification. Complex. 2022: 1168700:1-1168700:11 (2022) - [j13]Khaled Marji Alresheedi, Suliman Aladhadh, Rehan Ullah Khan, Ali Mustafa Qamar:
Dates Fruit Recognition: From Classical Fusion to Deep Learning. Comput. Syst. Sci. Eng. 40(1): 151-166 (2022) - [j12]Naseebah Almufadi, Ali Mustafa Qamar:
Deep Convolutional Neural Network Based Churn Prediction for Telecommunication Industry. Comput. Syst. Sci. Eng. 43(3): 1255-1270 (2022) - [j11]Manar Alassaf, Ali Mustafa Qamar:
Improving Sentiment Analysis of Arabic Tweets by One-way ANOVA. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2849-2859 (2022) - [j10]Saba Awan, Nadeem Javaid, Sameeh Ullah, Asad Ullah Khan, Ali Mustafa Qamar, Jin-Ghoo Choi:
Blockchain Based Secure Routing and Trust Management in Wireless Sensor Networks. Sensors 22(2): 411 (2022) - 2021
- [j9]Mokthar Ali Hasan Madhfar, Ali Mustafa Qamar:
Effective Deep Learning Models for Automatic Diacritization of Arabic Text. IEEE Access 9: 273-288 (2021) - [j8]Uzma Afzal, Tariq Mahmood, Raihan Ur Rasool, Ayaz H. Khan, Rehan Ullah Khan, Ali Mustafa Qamar:
Predictive Analytics for Product Configurations in Software Product Lines. Int. J. Comput. Intell. Syst. 14(1): 1880-1894 (2021) - [j7]Ali Mustafa Qamar, Rehan Ullah Khan, Suliman Alsuhibany:
A Bibliometric Analysis of Coronavirus Research in Gulf Cooperation Council Countries. Int. J. Online Biomed. Eng. 17(13): 99-119 (2021) - [j6]Rehan Ullah Khan, Khalil Khan, Waleed Albattah, Ali Mustafa Qamar:
Image-Based Detection of Plant Diseases: From Classical Machine Learning to Deep Learning Journey. Wirel. Commun. Mob. Comput. 2021: 5541859:1-5541859:13 (2021) - 2020
- [j5]Uzma Afzal, Tariq Mahmood, Ayaz H. Khan, Sadeeq Jan, Raihan Ur Rasool, Ali Mustafa Qamar, Rehan Ullah Khan:
Feature Selection Optimization in Software Product Lines. IEEE Access 8: 160231-160250 (2020) - [j4]Khalil Khan, Waleed Albattah, Rehan Ullah Khan, Ali Mustafa Qamar, Durre Nayab:
Advances and Trends in Real Time Visual Crowd Analysis. Sensors 20(18): 5073 (2020) - [c18]Farhan Ullah, Bofeng Zhang, Guobing Zou, Irfan Ullah, Ali Mustafa Qamar, Durr-e-Nayab:
Large-scale Distributive Matrix Collaborative Filtering for Recommender System. CNIOT 2020: 55-59 - [c17]Farhan Ullah, Bofeng Zhang, Rehan Ullah Khan, Irfan Ullah, Aamir Khan, Ali Mustafa Qamar:
Visual-based Items Recommendation Using Deep Neural Network. CNIOT 2020: 122-126 - [c16]Manar Alassaf, Ali Mustafa Qamar:
Aspect-Based Sentiment Analysis of Arabic Tweets in the Education Sector Using a Hybrid Feature Selection Method. IIT 2020: 178-185
2010 – 2019
- 2018
- [j3]Rabia Irfan, Sharifullah Khan, Kashif Rajpoot, Ali Mustafa Qamar:
TIE algorithm: a layer over clustering-based taxonomy generation for handling evolving data. Frontiers Inf. Technol. Electron. Eng. 19(6): 763-782 (2018) - 2017
- [j2]Muhammad Salman, Saad B. Qaisar, Ali Mustafa Qamar:
Classification and legality analysis of bowling action in the game of cricket. Data Min. Knowl. Discov. 31(6): 1706-1734 (2017) - 2016
- [c15]Afroze Ibrahim Baqapuri, Saad Saleh, Muhammad Usman Ilyas, Muhammad Murtaza Khan, Ali Mustafa Qamar:
Sentiment classification of tweets using hierarchical classification. ICC 2016: 1-7 - 2014
- [j1]Rabia Irfan, Sharifullah Khan, Ali Mustafa Qamar, Peter Charles Bloodsworth:
Refining Kea++ automatic keyphrase assignment. J. Inf. Sci. 40(4): 446-459 (2014) - [c14]Muhammad Asif Razzaq, Ali Mustafa Qamar, Hafiz Syed Muhammad Bilal:
Prediction and analysis of Pakistan election 2013 based on sentiment analysis. ASONAM 2014: 700-703 - 2013
- [c13]Maqbool Ali, Ali Mustafa Qamar:
Data analysis, quality indexing and prediction of water quality for the management of rawal watershed in Pakistan. ICDIM 2013: 108-113 - [c12]Saad Ahmed Qureshi, Ammar Saleem Rehman, Ali Mustafa Qamar, Aatif Kamal, Ahsan Rehman:
Telecommunication subscribers' churn prediction model using machine learning. ICDIM 2013: 131-136 - [c11]Salar Masood, Moaz Ali, Faryal Arshad, Ali Mustafa Qamar, Aatif Kamal, Ahsan Rehman:
Customer segmentation and analysis of a mobile telecommunication company of Pakistan using two phase clustering algorithm. ICDIM 2013: 137-142 - [c10]Muhammad Shaheryar, Mehrosh Khalid, Ali Mustafa Qamar:
Rot-SiLA: A Novel Ensemble Classification Approach Based on Rotation Forest and Similarity Learning Using Nearest Neighbor Algorithm. ICMLA (1) 2013: 46-51 - [c9]Maqbool Ali, Ali Mustafa Qamar, Bilal Ali:
Data Analysis, Discharge Classifications, and Predictions of Hydrological Parameters for the Management of Rawal Dam in Pakistan. ICMLA (1) 2013: 382-385 - 2010
- [b1]Ali Mustafa Qamar:
Generalized Cosine and Similarity Metrics: A Supervised Learning Approach based on Nearest Neighbors. (Mesures de similarité et cosinus généralisé : une approche d'apprentissage supervisé fondée sur les k plus proches voisins). Grenoble Alpes University, France, 2010 - [c8]Ali Mustafa Qamar, Éric Gaussier:
Similarity Learning in Nearest Neighbor and Relief Algorithm. ICMLA 2010: 183-189 - [c7]Ali Mustafa Qamar, Éric Gaussier:
Similarity learning in nearest neighbor, positive semi-definitiveness and RELIEF algorithm. SoCPaR 2010: 291-296
2000 – 2009
- 2009
- [c6]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (1) 2009: 354-361 - [c5]Ali Mustafa Qamar, Éric Gaussier, Nathalie Denos:
Batch Document Filtering Using Nearest Neighbor Algorithm. CLEF (Working Notes) 2009 - [c4]Ali Mustafa Qamar, Éric Gaussier:
Online and Batch Learning of Generalized Cosine Similarities. ICDM 2009: 926-931 - 2008
- [c3]Vincent Bodinier, Ali Mustafa Qamar, Éric Gaussier:
Online Document Filtering Using Adaptive k-NN. CLEF 2008: 947-950 - [c2]Éric Gaussier, Ali Mustafa Qamar, Vincent Bodinier:
Working Notes for the InFile Campaign : Online Document Filtering Using 1 Nearest Neighbor. CLEF (Working Notes) 2008 - [c1]Ali Mustafa Qamar, Éric Gaussier, Jean-Pierre Chevallet, Joo-Hwee Lim:
Similarity Learning for Nearest Neighbor Classification. ICDM 2008: 983-988
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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