Found: 81
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The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery.
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- British Journal of Pharmacology, 2024, v. 181, n. 14, p. 2371, doi. 10.1111/bph.16140
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- Article
quant: a minimalist interval method for time series classification.
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- Data Mining & Knowledge Discovery, 2024, v. 38, n. 4, p. 2377, doi. 10.1007/s10618-024-01036-9
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- Article
Series2vec: similarity-based self-supervised representation learning for time series classification.
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- Data Mining & Knowledge Discovery, 2024, v. 38, n. 4, p. 2520, doi. 10.1007/s10618-024-01043-w
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- Article
Improving position encoding of transformers for multivariate time series classification.
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- Data Mining & Knowledge Discovery, 2024, v. 38, n. 1, p. 22, doi. 10.1007/s10618-023-00948-2
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- Article
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model construction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 6, p. 1, doi. 10.1093/bib/bbad372
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- Article
Hydra: competing convolutional kernels for fast and accurate time series classification.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 5, p. 1779, doi. 10.1007/s10618-023-00939-3
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- Article
Parameterizing the cost function of dynamic time warping with application to time series classification.
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- Data Mining & Knowledge Discovery, 2023, v. 37, n. 5, p. 2024, doi. 10.1007/s10618-023-00926-8
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- Article
TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters.
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- Briefings in Bioinformatics, 2023, v. 24, n. 4, p. 1, doi. 10.1093/bib/bbad209
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- Article
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting.
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- Machine Learning, 2023, v. 112, n. 7, p. 2555, doi. 10.1007/s10994-023-06316-x
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- Article
Elastic similarity and distance measures for multivariate time series.
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- Knowledge & Information Systems, 2023, v. 65, n. 6, p. 2665, doi. 10.1007/s10115-023-01835-4
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A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping.
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- Machine Learning, 2023, v. 112, n. 6, p. 1941, doi. 10.1007/s10994-020-05942-z
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- Article
Ultra-fast meta-parameter optimization for time series similarity measures with application to nearest neighbour classification.
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- Knowledge & Information Systems, 2023, v. 65, n. 5, p. 2123, doi. 10.1007/s10115-022-01827-w
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- Article
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships.
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- Bioinformatics, 2023, v. 39, n. 3, p. 1, doi. 10.1093/bioinformatics/btad094
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- Article
COVID‐19 restrictions and the incidence and prevalence of prescription opioid use in Australia – a nationwide study.
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- British Journal of Clinical Pharmacology, 2023, v. 89, n. 2, p. 914, doi. 10.1111/bcp.15577
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- Article
Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.
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- Briefings in Bioinformatics, 2022, v. 23, n. 6, p. 1, doi. 10.1093/bib/bbac467
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- Article
DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.
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- Bioinformatics, 2022, v. 38, n. 17, p. 4206, doi. 10.1093/bioinformatics/btac456
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- Article
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification.
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- Data Mining & Knowledge Discovery, 2022, v. 36, n. 5, p. 1623, doi. 10.1007/s10618-022-00844-1
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- Article
Cell graph neural networks enable the precise prediction of patient survival in gastric cancer.
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- NPJ Precision Oncology, 2022, v. 6, n. 1, p. 1, doi. 10.1038/s41698-022-00285-5
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- Article
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.
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- Briefings in Bioinformatics, 2022, v. 23, n. 2, p. 1, doi. 10.1093/bib/bbac031
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- Article
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.
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- Briefings in Bioinformatics, 2022, v. 23, n. 2, p. 1, doi. 10.1093/bib/bbab551
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- Article
An eager splitting strategy for online decision trees in ensembles.
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- Data Mining & Knowledge Discovery, 2022, v. 36, n. 2, p. 566, doi. 10.1007/s10618-021-00816-x
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Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab461
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- Article
HEAL: an automated deep learning framework for cancer histopathology image analysis.
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- Bioinformatics, 2021, v. 37, n. 22, p. 4291, doi. 10.1093/bioinformatics/btab380
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- Article
OCTID: a one-class learning-based Python package for tumor image detection.
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- Bioinformatics, 2021, v. 37, n. 21, p. 3986, doi. 10.1093/bioinformatics/btab416
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- Article
Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab184
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Early abandoning and pruning for elastic distances including dynamic time warping.
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- Data Mining & Knowledge Discovery, 2021, v. 35, n. 6, p. 2577, doi. 10.1007/s10618-021-00782-4
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Anthem: a user customised tool for fast and accurate prediction of binding between peptides and HLA class I molecules.
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- Briefings in Bioinformatics, 2021, v. 22, n. 5, p. 1, doi. 10.1093/bib/bbaa415
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- Article
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases.
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- Briefings in Bioinformatics, 2021, v. 22, n. 4, p. 1, doi. 10.1093/bib/bbaa301
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- Article
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization.
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- Nucleic Acids Research, 2021, v. 49, n. 10, p. e60, doi. 10.1093/nar/gkab122
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- Article
Time series extrinsic regression: Predicting numeric values from time series data.
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- Data Mining & Knowledge Discovery, 2021, v. 35, n. 3, p. 1032, doi. 10.1007/s10618-021-00745-9
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- Article
InceptionTime: Finding AlexNet for time series classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 6, p. 1936, doi. 10.1007/s10618-020-00710-y
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Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.
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- Briefings in Bioinformatics, 2020, v. 21, n. 5, p. 1676, doi. 10.1093/bib/bbz112
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- Article
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 5, p. 1454, doi. 10.1007/s10618-020-00701-z
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- Article
PROSPECT: A web server for predicting protein histidine phosphorylation sites.
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- Journal of Bioinformatics & Computational Biology, 2020, v. 18, n. 4, p. N.PAG, doi. 10.1142/S0219720020500183
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- Article
PCA-based drift and shift quantification framework for multidimensional data.
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- Knowledge & Information Systems, 2020, v. 62, n. 7, p. 2835, doi. 10.1007/s10115-020-01438-3
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- Article
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1047, doi. 10.1093/bib/bbz041
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PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1069, doi. 10.1093/bib/bbz050
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TS-CHIEF: a scalable and accurate forest algorithm for time series classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 3, p. 742, doi. 10.1007/s10618-020-00679-8
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- Article
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1057, doi. 10.1093/bioinformatics/btz721
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- Article
FastEE: Fast Ensembles of Elastic Distances for time series classification.
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- Data Mining & Knowledge Discovery, 2020, v. 34, n. 1, p. 231, doi. 10.1007/s10618-019-00663-x
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- Article
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models.
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- BMC Bioinformatics, 2019, v. 20, n. 1, p. N.PAG, doi. 10.1186/s12859-019-3178-6
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- Article
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2150, doi. 10.1093/bib/bby077
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- Article
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2185, doi. 10.1093/bib/bby079
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- Article
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2267, doi. 10.1093/bib/bby089
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Survey of distance measures for quantifying concept drift and shift in numeric data.
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- Knowledge & Information Systems, 2019, v. 60, n. 2, p. 591, doi. 10.1007/s10115-018-1257-z
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- Article
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
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- Briefings in Bioinformatics, 2019, v. 20, n. 3, p. 931, doi. 10.1093/bib/bbx164
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- Article
Proximity Forest: an effective and scalable distance-based classifier for time series.
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- Data Mining & Knowledge Discovery, 2019, v. 33, n. 3, p. 607, doi. 10.1007/s10618-019-00617-3
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- Article
Positive-unlabelled learning of glycosylation sites in the human proteome.
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- BMC Bioinformatics, 2019, v. 20, n. 1, p. 1, doi. 10.1186/s12859-019-2700-1
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- Article
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.
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- Briefings in Bioinformatics, 2019, v. 20, n. 2, p. 638, doi. 10.1093/bib/bby028
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A tutorial on statistically sound pattern discovery.
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- Data Mining & Knowledge Discovery, 2019, v. 33, n. 2, p. 325, doi. 10.1007/s10618-018-0590-x
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- Article