no code implementations • 31 Oct 2013 • Swakkhar Shatabda, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar
Protein structure prediction based on Hydrophobic-Polar energy model essentially becomes searching for a conformation having a compact hydrophobic core at the center.
no code implementations • 2 Sep 2014 • Rezaul Karim, Mohd. Momin Al Aziz, Swakkhar Shatabda, M. Sohel Rahman, Md. Abul Kashem Mia, Farhana Zaman, Salman Rakin
Due to the advancements in technology number of entries in the structural database of proteins are increasing day by day.
no code implementations • 16 Nov 2014 • Md. Lisul Islam, Swakkhar Shatabda, M. Sohel Rahman
In this paper, we propose a new genetic algorithm for solving the Euclidean distance geometry problem for protein structure prediction given sparse NMR data.
no code implementations • 17 Nov 2014 • Md. Lisul Islam, Novia Nurain, Swakkhar Shatabda, M. Sohel Rahman
Graph partitioning, a well studied problem of parallel computing has many applications in diversified fields such as distributed computing, social network analysis, data mining and many other domains.
no code implementations • 18 Dec 2014 • Mohammad Murtaza Mahmud, Swakkhar Shatabda, Mohammad Nurul Huda
Automated Theorem Proving (ATP) is an established branch of Artificial Intelligence.
no code implementations • 18 Dec 2014 • Muktadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan M. Farid
Local search methods can quickly find good quality solutions in cases where systematic search methods might take a large amount of time.
no code implementations • 19 Jul 2015 • Shanjida Khatun, Hasib Ul Alam, Swakkhar Shatabda
Working with exhaustive search on large dataset is infeasible for several reasons.
no code implementations • 4 Oct 2016 • Rezaul Karim, Md. Momin Al Aziz, Swakkhar Shatabda, M. Sohel Rahman
The effectiveness of our method is tested on standard benchmark structures.
no code implementations • 15 Nov 2017 • Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman
The problem of class imbalance along with class-overlapping has become a major issue in the domain of supervised learning.
1 code implementation • 12 Dec 2017 • Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid
We evaluated the performance of CUSBoost algorithm with the state-of-the-art methods based on ensemble learning like AdaBoost, RUSBoost, SMOTEBoost on 13 imbalance binary and multi-class datasets with various imbalance ratios.
no code implementations • 18 Dec 2017 • Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman
The performance of MEBoost has been evaluated on 12 benchmark imbalanced datasets with state of the art ensemble methods like SMOTEBoost, RUSBoost, Easy Ensemble, EUSBoost, DataBoost.
no code implementations • 19 Jun 2018 • Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda
In this paper, we present FRnet-DTI, an auto encoder and a convolutional classifier for feature manipulation and drug target interaction prediction.
1 code implementation • 20 Nov 2018 • Md Mofijul Islam, Amar Debnath, Tahsin Al Sayeed, Jyotirmay Nag Setu, Md Mahmudur Rahman, Md Sadman Sakib, Md Abdur Razzaque, Md. Mosaddek Khan, Swakkhar Shatabda
In this work, we have developed a visual interactive web application, namely d-DeVIS, which helps to visualize the internal reasoning of the learning model which is trained on the audio data.
no code implementations • 21 Dec 2019 • Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, Md Nazmul Khan Liton, Md. Moshiur Rahman, Swakkhar Shatabda, Sajid Ahmed
We present iPromoter-BnCNN for identification and accurate classification of six types of promoters - sigma24, sigma28, sigma32, sigma38, sigma54, sigma70.
no code implementations • 20 Jul 2020 • Ruhul Amin, Chowdhury Rafeed Rahman, Md. Sadrul Islam Toaha, Swakkhar Shatabda
DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification and is responsible for many biological functions.
1 code implementation • 9 Apr 2021 • Md. Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md. Saddam Hossain Mukta, Swakkhar Shatabda
Firstly, it identifies the axis elements of a chart from the given text known as x and y entities.
1 code implementation • 7 Nov 2022 • Mehedi Hasan Bijoy, Nahid Hossain, Salekul Islam, Swakkhar Shatabda
Earlier efforts on spelling error correction in Bangla and resource-scarce Indic languages focused on rule-based, statistical, and machine learning-based methods which we found rather inefficient.
no code implementations • 25 Nov 2022 • Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A. K. M. Muzahidul Islam, Salekul Islam
In addition, we introduce a novel triple attention gate module and a hybrid triple attention module to encourage selective modeling of relevant medical image features.
1 code implementation • International Conference on Neural Information Processing 2023 • Proma Hossain Progga, Swakkhar Shatabda
In this paper, we propose iResSENet, a novel deep learning-based image segmentation model based on U-Net architecture.
1 code implementation • Scientific Data 2023 • Iftekharul Abedeen, Md. Ashiqur Rahman, Fatema Zohra Prottyasha, Tasnim Ahmed, Tareque Mohmud Chowdhury, Swakkhar Shatabda
Furthermore, any publication that utilizes this resource should acknowledge the original paper, and the authors are encouraged to share their code and models to assist the research community in replicating the experiments and promoting the field of medical imaging.