Results 281 to 290 of about 680,970 (356)

A strategic approach to multi-omics literature retrieval in next generation mammalian cell bioprocessing. [PDF]

NPJ Syst Biol Appl
Price E, Dikicioglu D.
europepmc   +1 more source

Structure characterization with NMR molecular networking. [PDF]

Commun Chem
Stienstra CMK, Song J, Healey D, Voronov G, Gardner E, Patel A, Macherla V, Krettler CA, Kind T, Dorrestein PC, Domingo-Fernández D.   +10 more
europepmc   +1 more source

Sensing User Intent: An LLM-Powered Agent for On-the-Fly Personalized Virtual Space Construction from UAV Sensor Data. [PDF]

Sensors (Basel)
Luo S.
europepmc   +1 more source

Business Intelligence in Radiation Oncology: About Potential and Limits.

Oncology
Bovet M, Peters S, Müller-Focke T, Hirschi P.   +3 more
europepmc   +1 more source

Extending classical query by example implementations

Hadjiefthymiades, Stathes, Hadjiefthymiades, Stathes, Martakos, Drakoulis   +2 more
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A Pictorial Query-By-Example Language

Journal of Visual Languages & Computing, 1995
Abstract A symbolic image is an array representing a set of objects and a set of spatial relations among them. Symbolic images and related structures have been used in a number of applications including image databases, spatial reasoning, path planning and spatial pattern matching.
Dimitris Papadias, Timos Sellis
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Query by Example

2011
M. Vassilakopoulos, T. Tzouramanis, Paolo Terenziani, Chintan Patel, Chunhua Weng, Rafael Romero, J. Mazón, J. Trujillo, Manuel Serrano, M. Piattini, C. Buragohain, S. Suri, Xingquan Zhu, T. Risch, Yingyi Bu, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Rada Y. Chirkova, Amarnath Gupta, Olga Vechtomova, Ben He, Sandeep Tata, Jignesh M. Patel, Zoé Lacroix, Luc Bouganim, E. Pitoura, Thomas Neumann, Kian-Lee Tan, K. A. Hua, Danzhou Liu, Volker Markl, J. Freytag, Wolfgang Lehner, Letizia Tanca, A. Ailamaki, Ippokratis Pandis, Zhen Zhang, M. Patiño-Martínez   +37 more
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Query-by-Pictorial-Example

IEEE Transactions on Software Engineering, 1980
Query-by-Pictorial-Example is a relational query language introduced for manipulating queries regarding pictorial relations as well as conventional relations. In addition to the manipulating capabilities of the conventional query languages, queries can also be expressed in terms of pictorial examples through a display tenninal. Example queries are used
N.S. Chang, K.S. Fu
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QUESST2014: Evaluating Query-by-Example Speech Search in a zero-resource setting with real-life queries

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2015
In this paper, we present the task and describe the main findings of the 2014 “Query-by-Example Speech Search Task” (QUESST) evaluation. The purpose of QUESST was to perform language independent search of spoken queries on spoken documents, while ...
Xavier Anguera Miró, Luis Javier Rodriguez-Fuentes, Andi Buzo, Florian Metze, Igor Szöke, M. Peñagarikano   +5 more
semanticscholar   +1 more source