Patrick E. McSharry
Artificial Intelligence · 2003–2012
A researcher in the Science corpus: 11 papers; trusts 27 researchers and is trusted by 33 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #29,652 of 35,345 by trust here, #24,417 by citations
- Statistics and Probability — 24 citations into it
- Electrical and Electronic Engineering — 22 citations into it; #1,237 of 16,539 by trust here, #5,871 by citations
- Management Science and Operations Research — 12 citations into it; #1,811 of 11,946 by trust here, #2,667 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Statistical Learning Theory — 9 citations into it
- Global and Planetary Change — 8 citations into it; #3,199 of 10,225 by trust here, #6,266 by citations
- Atmospheric Science — 7 citations into it; #1,578 of 4,804 by trust here, #2,779 by citations
Whom Patrick E. McSharry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James W. Taylor
- Paul P. G. Boersma
- James Franklin
- Robert Tibshirani
- Trevor J. Hastie
- Max A. Little
- Holger Kantz
- Ian T. Jolliffe
- Thomas M. Hamill
- D. W. Bunn
Who trusts Patrick E. McSharry overall
- James W. Taylor
- Rob J Hyndman
- Athanasios Tsanas
- Shu Fan
- Resul Das
- Souhaib Ben Taieb
- Benoît Frénay
- Byung S. Kim
- Max A. Little
- D. Wilks
Papers from Patrick E. McSharry's perspective
Ordered by how strongly the researchers Patrick E. McSharry trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Random Forests
- Addendum: Regularization and variable selection via the elastic net
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- A new look at the statistical model identification
- Neural Networks for Pattern Recognition
- Probabilistic forecasts, calibration and sharpness
- LIBSVM: A library for support vector machines
- The elements of statistical learning: data mining, inference and prediction
- An Introduction to Variable and Feature Selection
Their papers
- Short-Term Load Forecasting Methods: An Evaluation Based on European Data (2007) — 599 citations
- A comparison of univariate methods for forecasting electricity demand up to a day ahead (2006) — 545 citations
- Probabilistic forecasts of the magnitude and timing of peak electricity demand (2005) — 167 citations
- A dynamical model for generating synthetic electrocardiogram signals (2003) — 1,272 citations
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease (2012) — 684 citations
- Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity (2011) — 334 citations
- Reliability diagrams for non‐parametric density forecasts of continuous variables: Accounting for serial correlation (2010) — 83 citations
- Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests (2009) — 823 citations
- Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease (2008) — 1,134 citations
- Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection (2007) — 894 citations
- Advanced Methods And Tools for ECG Data Analysis (2006) — 1,003 citations