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Madiha Tahir
Madiha Tahir
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Verified email at giki.edu.pk
Title
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Cited by
Year
A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare
M Tahir, A Tubaishat, F Al-Obeidat, B Shah, Z Halim, M Waqas
Neural Computing and Applications, 1-22, 2020
572020
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email
Z Halim, M Waqar, M Tahir
Knowledge-Based Systems 208, 106443, 2020
512020
Extended ICA and M-CSP with BiLSTM towards improved classification of EEG signals
AU Rahman, A Tubaishat, F Al-Obeidat, Z Halim, M Tahir, F Qayum
Soft Computing, 1-12, 2022
132022
Online signature verification using hybrid features
M Tahir, MU Akram
2015 Second International Conference on Information Security and Cyber …, 2015
82015
Online signature verification using segmented local features
M Tahir, MU Akram, MA Idris
2016 International Conference on Computing, Electronic and Electrical …, 2016
72016
Non-acted text and keystrokes database and learning methods to recognize emotions
M Tahir, Z Halim, AU Rahman, M Waqas, S Tu, S Chen, Z Han
ACM Transactions on Multimedia Computing, Communications, and Applications, 1-20, 2021
52021
Enhancing the HEVC video analyzer for medical diagnostic videos
M Tahir, Z Ul-Abdin, MA Qadir
2015 12th International Conference on High-capacity Optical Networks and …, 2015
52015
On the Effect of Emotion Identification from Limited Translated Text Samples Using Computational Intelligence
M Tahir, Z Halim, M Waqas, S Tu
International Journal of Computational Intelligence Systems 16 (1), 107, 2023
42023
YOLO-OSD: Optimized Ship Detection and Localization in Multi-Resolution SAR Satellite Images Using a Hybrid Data-Model Centric Approach
MF Humayun, FA Nasir, FA Bhatti, M Tahir, K Khurshid
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2024
22024
Emotion detection using convolutional neural network and long short-term memory: a deep multimodal framework
M Tahir, Z Halim, M Waqas, KN Sukhia, S Tu
Multimedia Tools and Applications, 1-34, 2023
12023
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