Irfan Ahmad
Orcid: 0000-0001-8311-1731Affiliations:
- King Fahad University of Petroleum and Minerals, KFUPM, Department of Information and Computer Science, Dhahran, Saudi Arabia
- TU Dortmund, Department of Computer Science, Germany (PhD 2017)
According to our database1,
Irfan Ahmad
authored at least 42 papers
between 2011 and 2024.
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Bibliography
2024
Exploring Character Trigrams for Robust Arabic Text Classification: A Comparative Analysis in the Face of Vocabulary Expansion and Misspelled Words.
IEEE Access, 2024
2023
Inf. Softw. Technol., December, 2023
Neural Process. Lett., June, 2023
A Hybrid Rule-Based and Machine Learning System for Arabic Check Courtesy Amount Recognition.
Sensors, 2023
Typefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based OCR Perspective.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023
Consonant is all you need: a compact representation of English text for efficient NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Pattern Recognit. Lett., 2022
Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition.
PeerJ Comput. Sci., 2022
An end-to-end deep learning system for requirements classification using recurrent neural networks.
Inf. Softw. Technol., 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs With Dynamic Fixed-Point Representation.
IEEE Access, 2022
2021
Sensors, 2021
PeerJ Comput. Sci., 2021
A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems.
IEEE Access, 2021
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021
Improving Handwritten Arabic Text Recognition Using an Adaptive Data-Augmentation Algorithm.
Proceedings of the Document Analysis and Recognition, 2021
2020
Meter classification of Arabic poems using deep bidirectional recurrent neural networks.
Pattern Recognit. Lett., 2020
Int. J. Appl. Pattern Recognit., 2020
IEEE Access, 2020
2019
Int. J. Document Anal. Recognit., 2019
Performance of Classifiers on Noisy-Labeled Training Data: An Empirical Study on Handwritten Digit Classification Task.
Proceedings of the Advances in Computational Intelligence, 2019
2016
PhD thesis, 2016
Open-vocabulary recognition of machine-printed Arabic text using hidden Markov models.
Pattern Recognit., 2016
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016
2015
Three empirical studies on predicting software maintainability using ensemble methods.
Soft Comput., 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
2014
Int. J. Document Anal. Recognit., 2014
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014
2013
Inf. Softw. Technol., 2013
An Ensemble of Computational Intelligence Models for Software Maintenance Effort Prediction.
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Proceedings of the 10th International Conference Computer Graphics, 2013
2012
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012
2011
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
Proceedings of the 10th IEEE/ACIS International Conference on Computer and Information Science, 2011