Geoffrey I. Webb - Citegraph

Author Info

Name	Affiliation	Papers
GEOFFREY I. WEBB	Monash Univ, Clayton, Vic, Australia	29
Collaborators	Citations	PageRank
96	99	12.05
Referers	Referees	References
286	896	390

Search Limit

100896

Publications (29 rows)

Collaborators (96 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction	1	0.35	2021
Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations	1	0.35	2021
MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification	1	0.63	2021
Ensembles of localised models for time series forecasting	0	0.34	2021
Time Series Extrinsic Regression Predicting Numeric Values From Time Series Data	1	0.36	2021
Ultra fast warping window optimization for Dynamic Time Warping	0	0.34	2021
Comprehensive Review And Assessment Of Computational Methods For Predicting Rna Post-Transcriptional Modification Sites From Rna Sequences	1	0.36	2020
TS-CHIEF: a scalable and accurate forest algorithm for time series classification	6	0.44	2020
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series	0	0.34	2020
InceptionTime: Finding AlexNet for time series classification.	10	0.64	2020
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.	2	0.35	2020
PCA-based drift and shift quantification framework for multidimensional data	0	0.34	2020
FastEE: Fast Ensembles of Elastic Distances for time series classification	1	0.36	2020
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels	8	0.57	2020
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.	2	0.36	2019
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.	1	0.36	2019
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models.	0	0.34	2019
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.	2	0.40	2019
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.	2	0.35	2019
Analyzing concept drift and shift from sample data.	7	0.46	2018
Extremely Fast Decision Tree.	4	0.38	2018
Proximity Forest: An effective and scalable distance-based classifier for time series.	11	0.50	2018
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.	20	0.78	2018
SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption.	1	0.36	2017
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles.	13	0.59	2017
Sample-Based Attribute Selective A$n$ DE for Large Data	1	0.35	2017
Efficient parameter learning of Bayesian network classifiers.	1	0.35	2017
Does social good justify risking personal privacy?	0	0.34	2014
Contrary to Popular Belief Incremental Discretization can be Sound, Computationally Efficient and Extremely Useful for Streaming Data	2	0.37	2014