Results 111 to 120 of about 4,674,587 (322)

A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data

IEEE Access
A contextual anomaly is a subtype of anomaly that, when observed in isolation, may not have the characteristics of an anomaly but becomes one when observed within a given context.
Lovre Mrcela, Zvonko Kostanjcar
doaj   +1 more source

Use of mixed-type data clustering algorithm for characterizing temporal and spatial distribution of biosecurity border detections of terrestrial non-indigenous species. [PDF]

PLoS One, 2022
Kachigunda B, Mengersen K, Perera DI, Coupland GT, van der Merwe J, McKirdy S.   +5 more
europepmc   +1 more source

Spitzer detection of PAH and silicate features in post-AGB stars and young Planetary Nebulae

, 2009
We have observed a small sample of hot post-AGB stars with the InfraRed Array Camera (IRAC) and the InfraRed Spectrograph (IRS) on-board the Spitzer Space Telescope. The stars were selected from the literature on the basis of their far-Infrared excess (i.
Cerrigone, Corrado Trigilio, Fazio, Galliano, García-Lario, Gathier, Gathier, Grazia Umana, Hiriart, Hora, Hora, Houck, Ivezić, Joseph L. Hora, Jura, Jura, Keller ., Lang, Luciano Cerrigone, Marengo, Marengo, Molster, Parthasarathy, Pottasch, Sarkar, Schlegel, Schuster, Skrutskie, Tielens, van der Veen, Volk   +30 more
core   +1 more source

MMM: Clustering Multivariate Longitudinal Mixed-type Data

Multivariate longitudinal data of mixed-type are increasingly collected in many science domains. However, algorithms to cluster this kind of data remain scarce, due to the challenge to simultaneously model the within- and between-time dependence structures for multivariate data of mixed kind.
Amato, Francesco, Jacques, Julien
openaire   +2 more sources

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Mixed Mode Fracture Behavior of an Aluminum Alloy A6061 Investigated by using Compact Tension Shear Specimens

International Journal of Technology, 2016
Aluminum alloys, such as A6061-T6, are widely used in engineering components. However, detailed knowledge is needed to understand the way they respond to a fracture due to mechanical loading.
Husaini, Zuhaimi
doaj   +1 more source

Referee report. For: Umpire 2.0: Simulating realistic, mixed-type, clinical data for machine learning [version 2; peer review: 1 approved, 1 approved with reservations]

, 2021
Andrew J. Zimolzak, Justin Mower
openalex   +1 more source

Two Approaches to Imputation and Adjustment of Air Quality Data from a Composite Monitoring Network [PDF]

, 2009
An analysis of air quality data is provided for the municipal area of Taranto characterized by high environmental risks, due to the massive presence of industrial sites with elevated environmental impact activities.
JONA LASINIO, Giovanna, POLLICE A.
core  

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Automatic Dendrogram Slicing for Mixed-Type Data Clustering

Journal of Classification
Abstract Clustering is one of the most ubiquitous unsupervised learning tasks, with applications to a wide variety of domains. Genomics data analysis makes no exception, yet genomics datasets combine features of different natures (continuous and categorical) and are, therefore, of mixed type.
Lucio Palazzo, Alfonso Iodice D’Enza, Domenico Vistocco, Francesco Palumbo   +3 more
openalex   +3 more sources