Mónica Gracia Villar

According to our database, Mónica Gracia Villar authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Suicide Ideation Detection Using Social Media Data and Ensemble Machine Learning Model.

Erol Kina, Jin-Ghoo Choi, Abid Ishaq, Rahman Shafique, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf

Int. J. Comput. Intell. Syst., December, 2026

2025

Advancing fake news combating using machine learning: a hybrid model approach.

Zahid Aslam, Malik Muhammad Saad Missen, Arslan Abdul Ghaffar, Arif Mehmood, Mónica Gracia Villar, Eduardo Silva Alvarado, Imran Ashraf

Knowl. Inf. Syst., December, 2025

2024

Data oversampling and imbalanced datasets: an investigation of performance for machine learning and feature engineering.

Muhammad Mujahid, Erol Kina, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf

J. Big Data, December, 2024

Feature optimization and machine learning for predicting students' academic performance in higher education institutions.

Aom Perkash, Qaisar Shaheen, Robina Saleem, Furqan Rustam, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf

Educ. Inf. Technol., November, 2024

Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets.

Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Mónica Gracia Villar, Imran Ashraf, Adnan Akhtar

IEEE Access, 2024

Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network.

Khadija Aslam, Faiza Iqbal, Ayesha Altaf, Naveed Hussain, Mónica Gracia Villar, Emmanuel Soriano Flores, Isabel de la Torre Díez, Imran Ashraf

IEEE Access, 2024

2023

Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach.

Sudheesh R, Muhammad Mujahid, Furqan Rustam, Rahman Shafique, Venkata Chunduri, Mónica Gracia Villar, Julien Brito Ballester, Isabel de la Torre Díez, Imran Ashraf

Inf., 2023

PRUS: Product Recommender System Based on User Specifications and Customers Reviews.

Naveed Hussain, Hamid Turab Mirza, Faiza Iqbal, Ayesha Altaf, Ahtsham Shoukat, Mónica Gracia Villar, Emmanuel Soriano Flores, Marco Antonio Rojo Gutiérrez, Imran Ashraf

IEEE Access, 2023