Zobrazeno 1 - 10
of 664
pro vyhledávání: '"Camacho, Jose A."'
Autor:
Camacho, José, Armstrong, Michael Sorochan, García-Martínez, Luz, Díaz, Caridad, Gómez-Llorente, Carolina
Over the past few years, technological advances have allowed for measurement of omics data at the cell level, creating a new type of data generally referred to as single-cell (sc) omics. On the other hand, the so-called spatial omics are a family of
Externí odkaz:
http://arxiv.org/abs/2412.13591
Chemical separations data are typically analysed in the time domain using methods that integrate the discrete elution bands. Integrating the same chemical components across several samples must account for retention time drift over the course of an e
Externí odkaz:
http://arxiv.org/abs/2410.08733
Autor:
Merchanskaya, Oliver Polushkina, Armstrong, Michael D. Sorochan, Llorente, Carolina Gómez, Ferrer, Patricia, Fernandez-Gonzalez, Sergi, Perez-Cruz, Miriam, Gómez-Roig, María Dolores, Camacho, José
Multifactorial experimental designs allow us to assess the contribution of several factors, and potentially their interactions, to one or several responses of interests. Following the principles of the partition of the variance advocated by Sir R.A.
Externí odkaz:
http://arxiv.org/abs/2408.06739
Publikováno v:
Journal of Chemometrics, 2024
In this paper, we revisit the Power Curves in ANOVA Simultaneous Component Analysis (ASCA) based on permutation testing, and introduce the Population Curves derived from population parameters describing the relative effect among factors and interacti
Externí odkaz:
http://arxiv.org/abs/2403.00429
Publikováno v:
Caballero, W. N., Camacho, J. M., Ekin, T., & Naveiro, R. (2024). Manipulating hidden-Markov-model inferences by corrupting batch data. Computers & Operations Research, 162, 106478
Time-series models typically assume untainted and legitimate streams of data. However, a self-interested adversary may have incentive to corrupt this data, thereby altering a decision maker's inference. Within the broader field of adversarial machine
Externí odkaz:
http://arxiv.org/abs/2402.13287
The introduction of the European Union Artificial Intelligence Act, the NIST Artificial Intelligence Risk Management Framework, and related norms demands a better understanding and implementation of novel risk analysis approaches to evaluate systems
Externí odkaz:
http://arxiv.org/abs/2401.01630
A simple least-squares optimisation enables the determination of the spectrum for irregularly sampled data that is readily reconstructed using an adjoint transformation of the Non-Uniform Fast Fourier Transform (NFFT). This is an improvement upon pre
Externí odkaz:
http://arxiv.org/abs/2310.15310
Publikováno v:
NOMS 2023 IEEE/IFIP Network Operations and Management Symposium, Miami, FL, USA, 2023, pp. 1-5
Autonomous or self-driving networks are expected to provide a solution to the myriad of extremely demanding new applications with minimal human supervision. For this purpose, the community relies on the development of new Machine Learning (ML) models
Externí odkaz:
http://arxiv.org/abs/2305.19770
Autor:
Camacho, José a, ⁎, Armstrong, Michael Sorochan a, García-Martínez, Luz a, Díaz, Caridad b, Gómez-Llorente, Carolina c, d, e
Publikováno v:
In Trends in Analytical Chemistry February 2025 183
Autor:
Yan, Zhaoqing, Eshed, Amit, Tang, Anli A., Arevalos, Nery R., Ticktin, Zachary M., Chaudhary, Soma, Ma, Duo, McCutcheon, Griffin, Li, Yudan, Wu, Kaiyue, Saha, Sanchari, Alcantar-Fernandez, Jonathan, Moreno-Camacho, Jose L., Campos-Romero, Abraham, Collins, James J., Yin, Peng, Green, Alexander A.
Publikováno v:
In Chem 11 July 2024 10(7):2220-2244