Dukka B. KC

Orcid: 0000-0001-7443-1928

Affiliations:
  • North Carolina A&T State University, Greensboro, NC, USA
  • Kyoto University, Japan (PhD 2006)


According to our database1, Dukka B. KC authored at least 22 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Benchmarking a Wide Range of Unsupervised Learning Methods for Detecting Anomaly in Blast Furnace.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model.
BMC Bioinform., December, 2023

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics.
Sensors, 2023

2022
Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.
BMC Bioinform., 2022

GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool.
Bioinform., 2022

2020
DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.
BMC Bioinform., April, 2020

Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems.
Future Internet, 2020

2018
RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017
CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.
BMC Bioinform., 2017

Recent advances in sequence-based protein structure prediction.
Briefings Bioinform., 2017

2015
Phosphorylation sites prediction using Random Forest.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

RF-Phos: Random forest-based prediction of phosphorylation sites.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Time-series forecasting with evolvable partially connected artificial neural network.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Hierarchical multi-label gene function prediction using adaptive mutation in crowding niching.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2011
Topology Improves Phylogenetic Motif Functional Site Predictions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2008
Improving position-specific predictions of protein functional sites using phylogenetic motifs.
Bioinform., 2008

2006
Clique-based algorithms for protein structure prediction.
PhD thesis, 2006

Protein Threading with Profiles and Distance Constraints Using Clique Based Algorithms.
J. Bioinform. Comput. Biol., 2006

Dynamic Programming and Clique Based Approaches for Protein Threading with Profiles and Constraints.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

2005
Protein Side-chain Packing Problem: a Maximum Edge-weight Clique Algorithmic Approach.
J. Bioinform. Comput. Biol., 2005

Clique-based algorithms for protein threading with profiles and constraints.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005

2004
Protein Side-chain Packing Problem: A Maximum Edge-weight Clique Algorithmic Approach.
Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004


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