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Mónica Gracia Villar
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2020 – today
- 2024
- [j6]Khadija Aslam, Faiza Iqbal, Ayesha Altaf, Naveed Hussain, Mónica Gracia Villar, Emmanuel Soriano Flores, Isabel de la Torre Díez, Imran Ashraf:
Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network. IEEE Access 12: 15651-15661 (2024) - [j5]Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Mónica Gracia Villar, Imran Ashraf, Adnan Akhtar:
Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets. IEEE Access 12: 67117-67129 (2024) - [j4]Aom Perkash, Qaisar Shaheen, Robina Saleem, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf:
Feature optimization and machine learning for predicting students' academic performance in higher education institutions. Educ. Inf. Technol. 29(16): 21169-21193 (2024) - [j3]Muhammad Mujahid, Erol Kina, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf:
Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering. J. Big Data 11(1): 87 (2024) - 2023
- [j2]Naveed Hussain, Hamid Turab Mirza, Faiza Iqbal, Ayesha Altaf, Ahtsham Shoukat, Mónica Gracia Villar, Emmanuel Soriano Flores, Marco Antonio Rojo Gutiérrez, Imran Ashraf:
PRUS: Product Recommender System Based on User Specifications and Customers Reviews. IEEE Access 11: 81289-81297 (2023) - [j1]Sudheesh R, Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Venkata Chunduri, Mónica Gracia Villar, Julien Brito Ballester, Isabel de la Torre Díez, Imran Ashraf:
Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach. Inf. 14(9): 474 (2023)
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