Dextractor:Deformation Extractor Framework for Monitoring-Based Ground Radar.
- Published in:
- Remote Sensing, 2024, v. 16, n. 16, p. 2926, doi. 10.3390/rs16162926
- By:
- Publication type:
- Article
Works by Paliwal, Kuldip
Results: 30
1
2
A feature selection method using improved regularized linear discriminant analysis.
- Published in:
- Machine Vision & Applications, 2014, v. 25, n. 3, p. 775, doi. 10.1007/s00138-013-0577-y
- By:
- Publication type:
- Article
3
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling.
- Published in:
- Bioinformatics, 2022, v. 38, n. 16, p. 3900, doi. 10.1093/bioinformatics/btac421
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- Publication type:
- Article
4
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model.
- Published in:
- Bioinformatics, 2022, v. 38, n. 7, p. 1888, doi. 10.1093/bioinformatics/btac053
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- Publication type:
- Article
5
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis.
- Published in:
- Bioinformatics, 2021, v. 37, n. 20, p. 3494, doi. 10.1093/bioinformatics/btab391
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- Publication type:
- Article
6
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning.
- Published in:
- Bioinformatics, 2021, v. 37, n. 20, p. 3464, doi. 10.1093/bioinformatics/btab316
- By:
- Publication type:
- Article
7
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning.
- Published in:
- Bioinformatics, 2021, v. 37, n. 17, p. 2589, doi. 10.1093/bioinformatics/btab165
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- Publication type:
- Article
8
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network.
- Published in:
- Bioinformatics, 2020, v. 36, n. 21, p. 5169, doi. 10.1093/bioinformatics/btaa652
- By:
- Publication type:
- Article
9
Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech.
- Published in:
- Circuits, Systems & Signal Processing, 2017, v. 36, n. 4, p. 1476, doi. 10.1007/s00034-016-0363-y
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- Publication type:
- Article
10
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives.
- Published in:
- Briefings in Bioinformatics, 2022, v. 23, n. 3, p. 1, doi. 10.1093/bib/bbac112
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- Publication type:
- Article
11
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
- Published in:
- Briefings in Bioinformatics, 2018, v. 19, n. 3, p. 482, doi. 10.1093/bib/bbw129
- By:
- Publication type:
- Article
12
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning.
- Published in:
- Bioinformatics, 2020, v. 36, n. 4, p. 1107, doi. 10.1093/bioinformatics/btz691
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- Publication type:
- Article
13
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks.
- Published in:
- Bioinformatics, 2019, v. 35, n. 14, p. 2403, doi. 10.1093/bioinformatics/bty1006
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- Publication type:
- Article
14
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.
- Published in:
- Bioinformatics, 2018, v. 34, n. 23, p. 4039, doi. 10.1093/bioinformatics/bty481
- By:
- Publication type:
- Article
15
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.
- Published in:
- Bioinformatics, 2017, v. 33, n. 18, p. 2842, doi. 10.1093/bioinformatics/btx218
- By:
- Publication type:
- Article
16
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.
- Published in:
- Bioinformatics, 2017, v. 33, n. 5, p. 685, doi. 10.1093/bioinformatics/btw678
- By:
- Publication type:
- Article
17
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.
- Published in:
- Bioinformatics, 2016, v. 32, n. 6, p. 843, doi. 10.1093/bioinformatics/btv665
- By:
- Publication type:
- Article
18
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network.
- Published in:
- Journal of Computational Chemistry, 2014, v. 35, n. 28, p. 2040, doi. 10.1002/jcc.23718
- By:
- Publication type:
- Article
19
SPIN2: Predicting sequence profiles from protein structures using deep neural networks.
- Published in:
- Proteins, 2018, v. 86, n. 6, p. 629, doi. 10.1002/prot.25489
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- Publication type:
- Article
20
Proposing a highly accurate protein structural class predictor using segmentation-based features.
- Published in:
- BMC Genomics, 2014, v. 15, p. 1, doi. 10.1186/1471-2164-15-S1-S2
- By:
- Publication type:
- Article
21
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.
- Published in:
- BMC Bioinformatics, 2015, v. 16, p. 1, doi. 10.1186/1471-2105-16-S4-S1
- By:
- Publication type:
- Article
22
A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions.
- Published in:
- EURASIP Journal on Audio Speech & Music Processing, 2021, v. 2021, n. 1, p. 1, doi. 10.1186/s13636-021-00220-9
- By:
- Publication type:
- Article
23
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.
- Published in:
- BMC Bioinformatics, 2014, v. 15, n. Suppl 16, p. 1, doi. 10.1186/1471-2105-15-S16-S12
- By:
- Publication type:
- Article
24
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.
- Published in:
- BMC Bioinformatics, 2013, v. 14, n. 1, p. 1, doi. 10.1186/1471-2105-14-233
- By:
- Publication type:
- Article
25
SPOT‐Fold: Fragment‐Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map.
- Published in:
- Journal of Computational Chemistry, 2020, v. 41, n. 8, p. 745, doi. 10.1002/jcc.26132
- By:
- Publication type:
- Article
26
Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning.
- Published in:
- Journal of Computational Chemistry, 2018, v. 39, n. 26, p. 2210, doi. 10.1002/jcc.25534
- By:
- Publication type:
- Article
27
Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement.
- Published in:
- Signals, 2021, v. 2, n. 3, p. 434, doi. 10.3390/signals2030027
- By:
- Publication type:
- Article
28
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-11684-w
- By:
- Publication type:
- Article
29
Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.
- Published in:
- Scientific Reports, 2015, p. 11476, doi. 10.1038/srep11476
- By:
- Publication type:
- Article
30
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.
- Published in:
- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-13395-9
- By:
- Publication type:
- Article