Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Irene Rodriguez-Lujan"'
Publikováno v:
Bioinformatics. 33:210-218
Motivation Despite RNA-seq reads provide quality scores that represent the probability of calling a correct base, these values are not probabilistically integrated in most alignment algorithms. Based on the quality scores of the reads, we propose to
Autor:
Irene Rodriguez-Lujan, Margaret A. K. Ryan, Jordi Fonollosa, Ramon Huerta, Abhijit V. Shevade, Margie L. Homer
Publikováno v:
Sensors and Actuators B: Chemical. 199:398-402
A chemical detection system made of a gas sensor array and algorithms intended to monitor human activity was tested in a NASA spacecraft cabin simulator. Such a chemical-based monitoring system, if extended to home settings, would allow the autonomou
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 130:123-134
We investigate optimal experiment selection to train a classifier on gas sensor arrays to get the maximal possible performance in a limited number of experiments. In gas sensing, while collecting data for a particular sensor array, one has to choose
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
instname
This is the author’s version of a work that was accepted for publication in Pattern Recognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms m
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Dipòsit Digital de la UB
Universidad de Barcelona
Biblos-e Archivo. Repositorio Institucional de la UAM
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
instname
Dipòsit Digital de la UB
Universidad de Barcelona
Biblos-e Archivo. Repositorio Institucional de la UAM
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
This is the author’s version of a work that was accepted for publication in Chemometrics and Intelligent Laboratory Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4b59c3aec9cc9436c437c19ee63fa8
http://hdl.handle.net/2445/118302
http://hdl.handle.net/2445/118302
Autor:
Irene Rodriguez-Lujan, Ramon Huerta
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
instname
Rigorous and proper linking of financial databases is a necessary step to test trading strategies incorporating multimodal sources of information. This paper proposes a machine learning solution to match companies in heterogeneous financial databases
Autor:
Irene Rodriguez-Lujan, Ramon Huerta
Publikováno v:
Electron. J. Statist. 9, no. 2 (2015), 2255-2292
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
The concept of pointwise Fisher consistency (or classification calibration) states necessary and sufficient conditions to have Bayes consistency when a classifier minimizes a surrogate loss function instead of the 0-1 loss. We present a family of mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47092082ecebb2fb9ebe3b1dd5b6eafc
https://doi.org/10.1214/15-ejs1073
https://doi.org/10.1214/15-ejs1073
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in Brief
Data in Brief, Vol 3, Iss C, Pp 169-174 (2015)
instname
Data in Brief
Data in Brief, Vol 3, Iss C, Pp 169-174 (2015)
The dataset includes the acquired time series of a chemical detection platform exposed to different gas conditions in a turbulent wind tunnel. The chemo-sensory elements were sampling directly the environment. In contrast to traditional approaches th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e29c5da974bef2c400436c7670d597
http://hdl.handle.net/10486/674190
http://hdl.handle.net/10486/674190
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in Brief, Vol 3, Iss C, Pp 85-89 (2015)
Data in Brief
instname
Data in Brief, Vol 3, Iss C, Pp 85-89 (2015)
Data in Brief
To address drift in chemical sensing, an extensive dataset was collected over a period of three years. An array of 16 metal-oxide gas sensors was exposed to six different volatile organic compounds at different concentration levels under tightly-cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4685317f937b6f1cb651778557d1a82
http://hdl.handle.net/10486/674189
http://hdl.handle.net/10486/674189
Publikováno v:
Data in Brief
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in Brief, Vol 3, Iss C, Pp 216-220 (2015)
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Data in Brief, Vol 3, Iss C, Pp 216-220 (2015)
A chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The acquired time series of the sensors are provided. The experimental setup was designed to test gas