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James G. Lyons
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2010 – 2019
- 2018
- [j12]Rhys Heffernan
, Kuldip K. Paliwal
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning. J. Comput. Chem. 39(26): 2210-2216 (2018) - 2016
- [j11]Rhys Heffernan, Abdollah Dehzangi
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32(6): 843-849 (2016) - 2015
- [j10]Abdollah Dehzangi
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16(S-4): S1 (2015) - [j9]Abdollah Dehzangi
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11(1): 115-138 (2015) - 2014
- [j8]Kuldip K. Paliwal
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. 15(S-16): S12 (2014) - [j7]Abdollah Dehzangi
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15(S-1): S2 (2014) - [j6]Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics 18(4): 474-479 (2014) - [j5]James G. Lyons, Abdollah Dehzangi
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35(28): 2040-2046 (2014) - [j4]Abdollah Dehzangi
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 510-519 (2014) - 2013
- [j3]Alok Sharma
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14: 233 (2013) - [c6]Abdollah Dehzangi
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence 2013: 32-43 - [c5]Abdollah Dehzangi
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB 2013: 196-207 - [c4]Abdollah Dehzangi
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB 2013: 208-219
2000 – 2009
- 2009
- [j2]Kuldip K. Paliwal
Speech-Signal-Based Frequency Warping. IEEE Signal Process. Lett. 16(4): 319-322 (2009) - [c3]Stephen So
Kalman fitler with phase spectrum compensation algorithm for speech enhancement. ICASSP 2009: 4405-4408 - 2008
- [j1]Kamil K. Wójcicki, Mitar Milacic, Anthony P. Stark, James G. Lyons, Kuldip K. Paliwal
Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement. IEEE Signal Process. Lett. 15: 461-464 (2008) - [c2]James G. Lyons, Kuldip K. Paliwal:
Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement. INTERSPEECH 2008: 387-390 - [c1]Anthony P. Stark, Kamil K. Wójcicki, James G. Lyons, Kuldip K. Paliwal:
Noise driven short-time phase spectrum compensation procedure for speech enhancement. INTERSPEECH 2008: 549-552
Coauthor Index
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