534 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas at AustinUS63 papers
- University of MessinaIT62 papers
- Aligarh Muslim UniversityIN61 papers
- Central China Normal UniversityCN61 papers
- Czech Technical University in PragueCZ61 papers
- European Organization for Nuclear ResearchCH61 papers
- Goethe University FrankfurtDE61 papers
- Heidelberg UniversityDE61 papers
- Homi Bhabha National InstituteIN61 papers
- Horia Hulubei National Institute for R and D in Physics and Nuclear EngineeringRO61 papers
- Lawrence Berkeley National LaboratoryUS61 papers
- Sungkyunkwan UniversityKR61 papers
5 papers · 1 filter
Hierarchical Matching and Regression with Application to Photometric Redshift Estimation
Fionn Murtagh
This work emphasizes that heterogeneity, diversity, discontinuity, and discreteness in data is to be exploited in classification and regression problems. A global a priori model ma…
Contextualizing Geometric Data Analysis and Related Data Analytics: A Virtual Microscope for Big Data Analytics
Fionn Murtagh, Mohsen Farid
The relevance and importance of contextualizing data analytics is described. Qualitative characteristics might form the context of quantitative analysis. Topics that are at issue i…
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data
Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton +2
Conceived in the early 1990s, Experience Replay (ER) has been shown to be a successful mechanism to allow online learning algorithms to reuse past experiences. Traditionally, ER ca…
Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research
Fionn Murtagh, Michael Orlov, Boris Mirkin
The appeal of metric evaluation of research impact has attracted considerable interest in recent times. Although the public at large and administrative bodies are much interested i…
Sparse p-Adic Data Coding for Computationally Efficient and Effective Big Data Analytics
Fionn Murtagh
We develop the theory and practical implementation of p-adic sparse coding of data. Rather than the standard, sparsifying criterion that uses the pseudo-norm, we use the p-ad…