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Maryam Bashir
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2020 – today
- 2024
- [j15]Ramish Shahid, Aamir Wali
, Maryam Bashir:
Next word prediction for Urdu language using deep learning models. Comput. Speech Lang. 87: 101635 (2024) - [j14]Rimsha Gul, Maryam Bashir:
Feature selection for sentiment analysis using hybrid multiobjective evolutionary algorithm. J. Intell. Fuzzy Syst. 46(4): 8917-8932 (2024) - [j13]Hamza Zaheer, Maryam Bashir
Detecting fake news for COVID-19 using deep learning: a review. Multim. Tools Appl. 83(30): 74469-74502 (2024) - [j12]Hamza Zaheer, Saif Ur Rehman, Maryam Bashir
A metaheuristic based filter-wrapper approach to feature selection for fake news detection. Multim. Tools Appl. 83(34): 80299-80328 (2024) - [c6]Rakhshan Imtiaz, Arshad Ali, Maryam Bashir:
Analyzing Public Sentiment: A Deep Dive into Twitter Discourse on the 2022 No Confidence Motion in Pakistan. ICACS 2024: 1-6 - 2023
- [j11]Ahmad Haseeb, Maryam Bashir, Aamir Wali:
BERTDom: Protein Domain Boundary Prediction Using BERT. Comput. Informatics 42(3): 667-689 (2023) - [j10]Muhammad Hammad Akram, Khurram Shahzad, Maryam Bashir
ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu. Inf. Process. Manag. 60(3): 103270 (2023) - [c5]Mehboob Ali, Abdullah Malik, Maryam Bashir:
Open research knowledge graph for structuring scholarly contributions using transformers. ICACS 2023: 1-8 - 2022
- [j9]Mehtab Kiran Suddle
Metaheuristics based long short term memory optimization for sentiment analysis. Appl. Soft Comput. 131: 109794 (2022) - [j8]Mamoona Riaz, Maryam Bashir
Metaheuristics based COVID-19 detection using medical images: A review. Comput. Biol. Medicine 144: 105344 (2022) - [j7]Maryam Bashir, Jawad Ashraf, Asad Habib
An intelligent linear time trajectory data compression framework for smart planning of sustainable metropolitan cities. Trans. Emerg. Telecommun. Technol. 33(2) (2022) - 2021
- [j6]Muhammad Adnan, Asad Habib, Jawad Ashraf, Shafaq Mussadiq, Arsalan Ali Raza, Muhammad Abid, Maryam Bashir, Sana Ullah Khan:
Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models. IEEE Access 9: 7519-7539 (2021) - [j5]Saba Kanwal, Irfan Younas
Evolving convolutional autoencoders using multi-objective Particle Swarm Optimization. Comput. Electr. Eng. 91: 107108 (2021) - 2020
- [j4]Shah Bano
A Many-Objective Memetic Generalized Differential Evolution Algorithm for DNA Sequence Design. IEEE Access 8: 222684-222699 (2020) - [j3]Hafiz Asadul Rehman, Muhammad Iqbal, Irfan Younas
Learning Regular Expressions Using XCS-Based Classifier System. Int. J. Pattern Recognit. Artif. Intell. 34(10): 2051011:1-2051011:32 (2020)
2010 – 2019
- 2018
- [j2]Irfan Younas
Efficient genetic algorithms for optimal assignment of tasks to teams of agents. Neurocomputing 314: 409-428 (2018) - 2013
- [j1]Nabil Ali Alrajeh
Localization Techniques in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [c4]Jesse Anderton
An analysis of crowd workers mistakes for specific and complex relevance assessment task. CIKM 2013: 1873-1876 - [c3]Maryam Bashir
A document rating system for preference judgements. SIGIR 2013: 909-912 - [c2]Maryam Bashir, Jesse Anderton, Virgil Pavlu, Javed A. Aslam:
Northeastern University Runs at the TREC13 Crowdsourcing Track. TREC 2013 - 2012
- [c1]Maryam Bashir, Jesse Anderton, Jie Wu, Matthew Ekstrand-Abueg, Peter B. Golbus, Virgil Pavlu, Javed A. Aslam:
Northeastern University Runs at the TREC12 Crowdsourcing Track. TREC 2012
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last updated on 2024-10-23 21:21 CEST by the dblp team
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