Younas Khan

According to our database, Younas Khan authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Institutional barriers to food security: An intelligent fuzzy decision making model.

Younas Khan, Shahzaib Ashraf, Mussawar Shah

Soft Comput., April, 2026

Explainability-Driven Image Anonymization in Latent Space (EDIALS).

Younas Khan, Anna Monreale, Carlo Metta, David Sánchez, Josep Domingo-Ferrer

Proceedings of the Sixteenth ACM Conference on Data and Application Security and Privacy, 2026

2025

Explainability-Driven Incremental Image Anonymization.

Rami Haffar, David Sánchez, Younas Khan, Josep Domingo-Ferrer

Trans. Data Priv., September, 2025

2024

Federated learning-based natural language processing: a systematic literature review.

Younas Khan, David Sánchez, Josep Domingo-Ferrer

Artif. Intell. Rev., December, 2024

Exploring household food security through institutional factors: A statistical and mathematical analysis.

Younas Khan, Shahzaib Ashraf, Muhammad Farman, Suhad Ali Osman Abdallah

J. Intell. Fuzzy Syst., 2024

2020

Towards the Selection of the Best Machine Learning Techniques and Methods for Urinalysis.

Babar Zeb, Aimal Khan, Younas Khan, Muhammad Faisal Masood, Iqra Tahir, Muhammad Asad

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

2019

Applying Feature Selection and Weight Optimization Techniques to Enhance Artificial Neural Network for Heart Disease Diagnosis.

Younas Khan, Usman Qamar, Muhammad Asad, Babar Zeb

Proceedings of the Intelligent Systems and Applications, 2019

Blood Glucose Level Prediction Using Optimized Neural Network for Virtual Patients.

Muhammad Asad, Younas Khan, Usman Qamar, Saba Bashir

Proceedings of the Intelligent Systems and Applications, 2019

A Survey on Context-Aware Computing Frameworks for Resource-Bounded Devices.

Younas Khan, Sajjad Ahmad Bhatti, Sohail Khattak

Proceedings of the Intelligent Technologies and Applications, 2019

Machine Learning Techniques for Heart Disease Datasets: A Survey.

Younas Khan, Usman Qamar, Nazish Yousaf, Aimal Khan

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients.

Muhammad Asad, Usman Qamar, Babar Zeb, Aimal Khan, Younas Khan

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019