Online signature verification using hybrid features. - Madiha Tahir; M. Usman Akram (InfoSec, 2015)

A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email. - Zahid Halim; Mehwish Waqar; Madiha Tahir (Knowl. Based Syst., 2020)

A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare. - Madiha Tahir; Abdallah Tubaishat; Feras N. Al-Obeidat; Babar Shah; Zahid Halim; Muhammad Waqas 001 (Neural Comput. Appl., 2022)

Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals. - Atta Ur Rahman 002; Abdallah Tubaishat; Feras N. Al-Obeidat; Zahid Halim; Madiha Tahir; Fawad Qayum (Soft Comput., 2022)

Non-Acted Text and Keystrokes Database and Learning Methods to Recognize Emotions. - Madiha Tahir; Zahid Halim; Atta Ur Rahman 002; Muhammad Waqas 001; Shanshan Tu; Sheng Chen 001; Zhu Han 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

On the Effect of Emotion Identification from Limited Translated Text Samples Using Computational Intelligence. - Madiha Tahir; Zahid Halim; Muhammad Waqas 001; Shanshan Tu (Int. J. Comput. Intell. Syst., 2023)

YOLO-OSD: Optimized Ship Detection and Localization in Multiresolution SAR Satellite Images Using a Hybrid Data-Model Centric Approach. - Muhammad Farhan Humayun; Faryal Aurooj Nasir; Farrukh Aziz Bhatti; Madiha Tahir; Khurram Khurshid (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Emotion detection using convolutional neural network and long short-term memory: a deep multimodal framework. - Madiha Tahir; Zahid Halim; Muhammad Waqas 001; Komal Nain Sukhia; Shanshan Tu (Multim. Tools Appl., 2024)

A Deep Learning-Based Ultra-Lightweight Architecture for Atrial Fibrillation Detection Using Single-Lead ECG Recordings. - Abbas Khan; Muhammad Rizwan Mughal; Syed Ali Irtaza; Mohsin Khan; Madiha Tahir; Ahtisham Ali; Zoraize Saeed (IEEE Access, 2025)