Muhammad Ali Ibrahim

According to our database, Muhammad Ali Ibrahim authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder.

Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Sheraz Ahmed, Andreas Dengel

Comput. Biol. Medicine, 2024

2023

DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method.

Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, Andreas Dengel, Sheraz Ahmed

Briefings Bioinform., January, 2023

2021

Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.

Muhammad Nabeel Asim, Muhammad Usman Ghani Khan, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed

Neural Comput. Appl., 2021

Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.

Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel, Sheraz Ahmed

Neural Comput. Appl., 2021

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.

Muhammad Ali Ibrahim, Muhammad Usman Ghani Khan, Faiza Mehmood, Muhammad Nabeel Asim, Waqar Mahmood

J. Biomed. Informatics, 2021

L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework.

Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Christoph Zehe, Olivier Cloarec, Rickard Sjögren, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the International Joint Conference on Neural Networks, 2021

ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane.

Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

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.

Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shehzadi, Muhammad Nabeel Asim

CoRR, 2020

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

Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmed, Waqar Mahmood, Andreas Dengel

CoRR, 2020

A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis.

Faiza Mehmood, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Rehab Shahzadi, Waqar Mahmood, Muhammad Nabeel Asim

IEEE Access, 2020

Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength.

Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed

Proceedings of the Neural Information Processing - 27th International Conference, 2020