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ORCIDMuhammad Nabeel Asim
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2020 – today
- 2024
[j19]Summra Saleem
, Muhammad Nabeel Asim, Ludger van Elst, Peter Schichtel, Andreas Dengel:
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles. IEEE Access 12: 21472-21490 (2024)- [j18]Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Sheraz Ahmed, Andreas Dengel:
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder. Comput. Biol. Medicine 176: 108538 (2024) - [j17]Faiza Mehmood, Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Usman Ghani, Waqar Mahmood, Andreas Dengel:
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text. Neural Comput. Appl. 36(6): 3077-3100 (2024) - [c9]Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. ICAART (3) 2024: 673-680 - [i6]David Selby, Kai Spriestersbach, Yuichiro Iwashita, Dennis Bappert, Archana Warrier, Sumantrak Mukherjee, Muhammad Nabeel Asim, Koichi Kise, Sebastian Vollmer:
Quantitative knowledge retrieval from large language models. CoRR abs/2402.07770 (2024) - 2023
- [b1]Muhammad Nabeel Asim:
An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis. Kaiserslautern University of Technology, Germany, 2023 - [j16]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, Andreas Dengel, Sheraz Ahmed:
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method. Briefings Bioinform. 24(1) (2023) - [j15]Summra Saleem, Muhammad Nabeel Asim, Ludger van Elst, Andreas Dengel:
FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101665 (2023) - [j14]Faiza Mehmood, Rehab Shahzadi, Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Usman Ghani, Waqar Mahmood, Andreas Dengel:
EnML: Multi-label Ensemble Learning for Urdu Text Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 227:1-227:31 (2023) - [c8]Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
Deep Learning Architectures for the Prediction of YY1-Mediated Chromatin Loops. ISBRA 2023: 72-84 - [i5]Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. CoRR abs/2310.19057 (2023) - 2022
- [j13]Marco Stricker, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed:
CircNet: an encoder-decoder-based convolution neural network (CNN) for circular RNA identification. Neural Comput. Appl. 34(14): 11441-11452 (2022) - 2021
- [j12]Muhammad Nabeel Asim, Muhammad Imran Malik, Christoph Zehe, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). IEEE Access 9: 19379-19390 (2021) - [j11]Muhammad Ali Ibrahim, Muhammad Usman Ghani Khan, Faiza Mehmood, Muhammad Nabeel Asim, Waqar Mahmood:
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification. J. Biomed. Informatics 116: 103699 (2021) - [j10]Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed:
Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification. Neural Comput. Appl. 33(6): 2157 (2021) - [j9]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed:
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification. Neural Comput. Appl. 33(11): 5437-5469 (2021) - [c7]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane. BHI 2021: 1-4 - [c6]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Christoph Zehe, Olivier Cloarec, Rickard Sjögren, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework. IJCNN 2021: 1-8 - 2020
- [j8]Faiza Mehmood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shahzadi, Waqar Mahmood, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis. IEEE Access 8: 192740-192759 (2020) - [c5]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength. ICONIP (3) 2020: 38-48 - [c4]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons. IJCNN 2020: 1-8 - [i4]Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel:
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification. CoRR abs/2003.01345 (2020) - [i3]Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim:
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis. CoRR abs/2003.05443 (2020)
2010 – 2019
- 2019
- [j7]Muhammad Wasim, Waqar Mahmood, Muhammad Nabeel Asim, Muhammad Usman Ghani Khan:
Multi-Label Question Classification for Factoid and List Type Questions in Biomedical Question Answering. IEEE Access 7: 3882-3896 (2019) - [j6]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Nasir Mahmood, Waqar Mahmood:
The Use of Ontology in Retrieval: A Study on Textual, Multilingual, and Multimedia Retrieval. IEEE Access 7: 21662-21686 (2019) - [j5]Muhammad Wasim, Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Waqar Mahmood:
Multi-label biomedical question classification for lexical answer type prediction. J. Biomed. Informatics 93 (2019) - [j4]Muhammad Wasim, Muhammad Nabeel Asim, Muhammad Usman Ghani, Zahoor-Ur Rehman, Seungmin Rho, Irfan Mehmood:
Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval. Multim. Tools Appl. 78(21): 29681-29712 (2019) - [c3]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. ICDAR 2019: 1390-1396 - [c2]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Khizar Razzaque, Andreas Dengel, Sheraz Ahmed:
Two Stream Deep Network for Document Image Classification. ICDAR 2019: 1410-1416 - [i2]Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust Hybrid Approach for Textual Document Classification. CoRR abs/1909.05478 (2019) - [i1]Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC). CoRR abs/1912.11356 (2019) - 2018
- [j3]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Waqar Mahmood:
Improved biomedical term selection in pseudo relevance feedback. Database J. Biol. Databases Curation 2018: bay056 (2018) - [j2]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Usman Ghani Khan, Waqar Mahmood, Hafiza Mahnoor Abbasi:
A survey of ontology learning techniques and applications. Database J. Biol. Databases Curation 2018: bay101 (2018) - [j1]Abdur Rehman, Kashif Javed, Haroon A. Babri, Muhammad Nabeel Asim:
Selection of the most relevant terms based on a max-min ratio metric for text classification. Expert Syst. Appl. 114: 78-96 (2018) - 2017
- [c1]Muhammad Nabeel Asim, Muhammad Wasim, Muhammad Sajid Ali, Abdur Rehman:
Comparison of feature selection methods in text classification on highly skewed datasets. INTELLECT 2017: 1-8
Coauthor Index
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