James G. Lyons

According to our database1, James G. Lyons authored at least 18 papers between 2008 and 2018.

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

Timeline

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Bibliography

2018
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning.
J. Comput. Chem., 2018

2016
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.
Bioinform., 2016

2015
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition.
Int. J. Data Min. Bioinform., 2015

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.
BMC Bioinform., 2015

2014
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.
J. Comput. Chem., 2014

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix.
J. Adv. Comput. Intell. Intell. Informatics, 2014

Proposing a highly accurate protein structural class predictor using segmentation-based features.
BMC Genom., 2014

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.
BMC Bioinform., 2014

2013
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.
BMC Bioinform., 2013

Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features.
Proceedings of the Pattern Recognition in Bioinformatics, 2013

Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2009
Speech-Signal-Based Frequency Warping.
IEEE Signal Process. Lett., 2009

Kalman fitler with phase spectrum compensation algorithm for speech enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement.
IEEE Signal Process. Lett., 2008

Noise driven short-time phase spectrum compensation procedure for speech enhancement.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008


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