Muhammad Nabeel Asim

Orcid: 0000-0003-3062-9996

According to our database1, Muhammad Nabeel Asim authored at least 33 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text.
Neural Comput. Appl., February, 2024

Quantitative knowledge retrieval from large language models.
CoRR, 2024

CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder.
Comput. Biol. Medicine, 2024

RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles.
IEEE Access, 2024

A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
EnML: Multi-label Ensemble Learning for Urdu Text Classification.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023

FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method.
Briefings Bioinform., January, 2023

An Efficient Automated Machine Learning Framework for Genomics and Proteomics Sequence Analysis.
PhD thesis, 2023

Deep Learning Architectures for the Prediction of YY1-Mediated Chromatin Loops.
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

2022
CircNet: an encoder-decoder-based convolution neural network (CNN) for circular RNA identification.
Neural Comput. Appl., 2022

2021
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021

Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.
J. Biomed. Informatics, 2021

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC).
IEEE Access, 2021

L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis.
CoRR, 2020

Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification.
CoRR, 2020

A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis.
IEEE Access, 2020

K-mer Neural Embedding Performance Analysis Using Amino Acid Codons.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Lexical paraphrasing and pseudo relevance feedback for biomedical document retrieval.
Multim. Tools Appl., 2019

Multi-label biomedical question classification for lexical answer type prediction.
J. Biomed. Informatics, 2019

A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC).
CoRR, 2019

Multi-Label Question Classification for Factoid and List Type Questions in Biomedical Question Answering.
IEEE Access, 2019

The Use of Ontology in Retrieval: A Study on Textual, Multilingual, and Multimedia Retrieval.
IEEE Access, 2019

Two Stream Deep Network for Document Image Classification.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

A Robust Hybrid Approach for Textual Document Classification.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Selection of the most relevant terms based on a max-min ratio metric for text classification.
Expert Syst. Appl., 2018

A survey of ontology learning techniques and applications.
Database J. Biol. Databases Curation, 2018

Improved biomedical term selection in pseudo relevance feedback.
Database J. Biol. Databases Curation, 2018

2017
Comparison of feature selection methods in text classification on highly skewed datasets.
Proceedings of the First International Conference on Latest trends in Electrical Engineering and Computing Technologies, 2017


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