Publications

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2021

Liao, Wenjing; Maggioni, Mauro; Vigogna, Stefano

Multiscale regression on intrinsically low-dimensional sets Journal Article

In: Mathematics in Engineering, vol. 4, no. 4, 2021.

Links | BibTeX | Tags: Machine learning, Manifold Learning, statistics, supervised learning

2020

Tomita, Tyler M; Browne, James; Shen, Cencheng; Chung, Jaewon; Patsolic, Jesse L; Falk, Benjamin; Priebe, Carey E; Yim, Jason; Burns, Randal; Maggioni, Mauro; Vogelstein, Joshua T

Sparse Projection Oblique Randomer Forests Journal Article

In: Journal of Machine Learning Research, vol. 21, no. 104, pp. 1-39, 2020.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

2019

Browne, James Tomita Tyler M.; Shen, Cencheng; Chung, Jaewon; Patsolic, Jesse L; Falk, Benjamin; Priebe, Carey E Yim Jason; RandalMaggioni, Mauro Burns; Vogelstein, Joshua T

Sparse Projection Oblique Randomer Forests Journal Article

In: Journ. Mach. Learn. Res., 2019.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

2017

Tomita, Tyler M; Maggioni, Mauro; Vogelstein, Joshua T

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations Proceedings Article

In: SIAM Data Mining, 2017.

BibTeX | Tags: Machine learning, statistics, supervised learning

Tomita, Tyler; Maggioni, Mauro; Vogelstein, Joshua T

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations Proceedings Article

In: 2017.

BibTeX | Tags: Machine learning, statistics, supervised learning

2016

Liao, Wenjing; Maggioni, Mauro; Vigogna, S

Learning adaptive multiscale approximations to data and functions near low-dimensional sets Proceedings Article

In: Proceedings of the IEEE Information Theory Workshop, 2016, (Cambridge, UK).

BibTeX | Tags: Machine learning, Manifold Learning, statistics, supervised learning

2015

Tomita, Tyler M; Maggioni, Mauro; Vogelstein, Joshua T

Randomer Forests Journal Article

In: arXiv preprint arXiv:1506.03410, 2015.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

2006

Maggioni, Mauro; Davis, Gus L; Warner, F J; Geshwind, Frank B; Coppi, Andreas C; DeVerse, R A; Coifman, Ronald R

Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections Conference

vol. 6091, no. 1, SPIE, San Jose, CA, USA, 2006.

BibTeX | Tags: Clustering, hyperspectral imaging, imaging, Machine learning, supervised learning

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