Results 81 to 90 of about 635,069 (331)

Improving package recommendations through query relaxation

open access: yes, 2014
Recommendation systems aim to identify items that are likely to be of interest to users. In many cases, users are interested in package recommendations as collections of items. For example, a dietitian may wish to derive a dietary plan as a collection of
Abouzied, Azza   +2 more
core   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

open access: yesMolecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker   +14 more
wiley   +1 more source

A Novel Pedestrian Reidentification Method Based on a Multiview Generative Adversarial Network

open access: yesIEEE Access, 2020
Emerging deep learning (DL) techniques have greatly improved pedestrian reidentification (PRI) performance. However, the existing DL-based PRI methods cannot learn robust feature representations owing to the single view of query images and the limited ...
Jifeng Guo   +4 more
doaj   +1 more source

SPARQLByE

open access: yesProceedings of the VLDB Endowment, 2016
Semantic Web technologies such as RDF and its query language, SPARQL, offer the possibility of opening up the use of public datasets to a great variety of ordinary users. But a key obstacle to the use of open data is the unfamiliarity of users with the structure of data or with SPARQL.
Díaz, G.   +2 more
openaire   +4 more sources

A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer

open access: yesMolecular Oncology, EarlyView.
Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini   +11 more
wiley   +1 more source

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example

open access: yesISPRS International Journal of Geo-Information, 2018
Discovering and accessing geospatial data presents a significant challenge for the Earth sciences community as massive amounts of data are being produced on a daily basis. In this article, we report a smart web-based geospatial data discovery system that
Yongyao Jiang   +9 more
doaj   +1 more source

Two Classical Queries versus One Quantum Query [PDF]

open access: yes, 1998
In this note we study the power of so called query-limited computers. We compare the strength of a classical computer that is allowed to ask two questions to an NP-oracle with the strength of a quantum computer that is allowed only one such query.
van Dam, Wim
core   +2 more sources

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

open access: yesMolecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi   +6 more
wiley   +1 more source

Detection of an Image in a Video Sequence*, **

open access: yesESAIM: Proceedings and Surveys, 2014
The purpose of this work is to discuss possible methods to retrieve a frame in a source video sequence starting from a given image query (for example, a screen shot of a movie scene). In order to do that, we develop and test different
El Bouti Tamara   +3 more
doaj   +1 more source

DATA REFINEMENT APPROACH FOR ANSWERING WHY-NOT PROBLEM OVER K-MOST PROMISING PRODUCT (K-MPP) QUERIES

open access: yesJUTI: Jurnal Ilmiah Teknologi Informasi, 2018
K-Most Promising (K-MPP) product is a strategy for selecting a product that used in the process of determining the most demanded products by consumers.
Vynska Amalia Permadi   +2 more
doaj   +1 more source

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