Nick S. Jones
Signal Processing · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 31 citations into it; #1,921 of 7,572 by trust here, #3,309 by citations
- Artificial Intelligence — 21 citations into it; #18,382 of 35,345 by trust here, #23,077 by citations
- Economics and Econometrics — 19 citations into it; #11,220 of 23,481 by trust here, #14,505 by citations
- Statistics and Probability — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Nick S. Jones trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Isabelle M Guyon
- Robert Tibshirani
- Fabian Mörchen
- Aixia Guo
- Li Wei
- Chotirat (Ann) Ratanamahatana
- Ben D. Fulcher
- Thanawin Rakthanmanon
- Trevor J. Hastie
Who trusts Nick S. Jones overall
Papers from Nick S. Jones's perspective
Ordered by how strongly the researchers Nick S. Jones trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Et al
- On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
- ImageNet classification with deep convolutional neural networks
- Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
- Gradient-based learning applied to document recognition
- Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Feature-based classification of time-series data
- Querying and mining of time series data: experimental comparison of representations and distance measures (Proceedings of the VLDB Endowment)
Their papers
- Highly Comparative Feature-Based Time-Series Classification (2014) — 358 citations
- catch22: CAnonical Time-series CHaracteristics (2019) — 374 citations
- The State of Vaccine Confidence 2016: Global Insights Through a 67-Country Survey (2016) — 1,062 citations
- Highly comparative time-series analysis: the empirical structure of time series and their methods (2013) — 403 citations
- Analysis of fungal networks (2012) — 134 citations