Md Wasi Ul Kabir

According to our database, Md Wasi Ul Kabir authored at least 13 papers between 2014 and 2026.

Collaborative distances:

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

2026

ARES-LSHADE: Autoresearch-Enhanced LSHADE with Memetic Polish for the GNBG Benchmark.

Abdullah Naeem, Md Wasi Ul Kabir, Manish Bhatt, Ayon Dey, Anav Katwal, Md. Tamjidul Hoque

CoRR, May, 2026

2025

PPILS: Protein-protein interaction prediction with language of biological coding.

Nayan Howladar, Md Wasi Ul Kabir, Foyzul Hoque, Ataur Katebi, Md. Tamjidul Hoque

Comput. Biol. Medicine, 2025

2024

DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues.

Md Wasi Ul Kabir, Duaa Mohammad Alawad, Pujan Pokhrel, Md. Tamjidul Hoque

Comput. Biol. Medicine, March, 2024

DisPredict3.0: Prediction of intrinsically disordered regions/proteins using protein language model.

Md Wasi Ul Kabir, Md. Tamjidul Hoque

Appl. Math. Comput., 2024

2023

PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning.

Yashwanth Karthik Kumar Mamidi, Tarun Karthik Kumar Mamidi, Md Wasi Ul Kabir, Jiande Wu, Md. Tamjidul Hoque, Chindo Hicks

Mach. Learn. Knowl. Extr., December, 2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

Prediction of Phi and Psi Angle Fluctuations from Protein Sequences.

Md Wasi Ul Kabir, Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Machine Learning Based Restaurant Sales Forecasting.

Austin Schmidt, Md Wasi Ul Kabir, Md. Tamjidul Hoque

Mach. Learn. Knowl. Extr., 2022

2021

diSBPred: A machine learning based approach for disulfide bond prediction.

Avdesh Mishra, Md Wasi Ul Kabir, Md. Tamjidul Hoque

Comput. Biol. Chem., 2021

AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques.

Avdesh Mishra, Reecha Khanal, Md Wasi Ul Kabir, Tamjidul Hoque

Artif. Intell. Medicine, 2021

2020

Hierarchy-Based File Fragment Classification.

Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, S. E. Blake-Gatto, Rishav Rajendra, Md. Tamjidul Hoque, Irfan Ahmed

Mach. Learn. Knowl. Extr., 2020

2014

Human Cognition in Automated Truing Test Design.

Mir Tafseer Nayeem, Md. Mamunur Rashid Akand, Nazmus Sakib, Md Wasi Ul Kabir

Int. J. Softw. Sci. Comput. Intell., 2014

Design of a Human Interaction Proof (HIP) using human cognition in contextual natural conversation.

Mir Tafseer Nayeem, Md. Mamunur Rashid Akand, Nazmus Sakib, Md Wasi Ul Kabir

Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014