Wyniki wyszukiwania dla: DATA ANNOTATION

• Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning

  Publikacja

  • A. Nabożny
  • B. Balcerzak
  • A. Wierzbicki
  • M. Morzy
  • M. Chlabicz

  - JMIR Medical Informatics - Rok 2021

  Methods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...

  Pełny tekst do pobrania w portalu

• ATOMIC DATA AND NUCLEAR DATA TABLES

  Czasopisma

  ISSN: 0092-640X , eISSN: 1090-2090

• Data in Brief

  Czasopisma

  ISSN: 2352-3409

• Scientific Data

  Czasopisma

  ISSN: 2052-4463

• Image simulation and annotation for color blinded

  Publikacja

  • J. Rumiński
  • J. Wtorek
  • M. Kaczmarek
  • A. Bujnowski
  • T. Kocejko
  • A. Poliński

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Rok 2010

  W pracy przedstawiono metody symulacji obrazów widzianych przez osoby ze ślepota barw. Ukazano również metody tworzenia obrazów ukazujących różnicę w percepcji kolorów pomiędzy normalnym obserwatorem a osobą ze ślepotą barw. W artykule opisano również metodę interaktywnego opisu koloru wskazywanego piksela obrazu. W rezultacie użytkownik ze ślepota barw może uzyskać informacje opisowe o występujących w obrazie kolorach.

• Image simulation and annotation for color blinded

  Publikacja

  • J. Rumiński
  • J. Wtorek
  • M. Kaczmarek
  • A. Bujnowski
  • T. Kocejko
  • A. Poliński

  - Rok 2010

  In this paper methods for image simulation as seen by a color blinded and a method for constructing images of perceived color difference are presented. The work is also focused on the interactive color description of an image contents. As a result, the individuals having problems with color discrimination can identify colors in an image.W artykule prezentowane są metody symulacji kolorów w obrazach postrzeganych przez osoby ze...

  Pełny tekst do pobrania w serwisie zewnętrznym

• CSR and innovation or CSR as non-technological innovation

  Publikacja

  • M. Popowska

  - Rok 2022

  This chapter investigates the relationship between Corporate Social Responsibility (CSR) and innovation process. There is an ongoing discussion in the literature regarding this relationship, in particular on its one- or bidirectional nature and possible antecedents or mediating factors. This research addresses this gap and aims to provide more conceptual clarity and synthesize the different types of relationships between CSR and...

  Pełny tekst do pobrania w serwisie zewnętrznym

• Innovation by proxy – clusters as ecosystems facilitating open innovation

  Publikacja

  • M. McPhillips

  - Journal of Entrepreneurship, Management and Innovation - Rok 2020

  Open innovation is a concept, whose attributes can be perceived as naturally complementing the proximity-based offer of clusters. The purpose of this paper is to investigate the potential role of clusters as intermediaries of open innovation for cluster members. A literature review and an exploratory study were performed, involving in-depth interviews with experts in the field of innovation and clusters in Poland. This article...

  Pełny tekst do pobrania w portalu

• JOURNAL OF CHEMICAL AND ENGINEERING DATA

  Czasopisma

  ISSN: 0021-9568 , eISSN: 1520-5134

• Medical Image Dataset Annotation Service (MIDAS)

  Publikacja

  • B. Klaudel
  • A. Obuchowski
  • B. Rydziński
  • R. Karski
  • P. Syty
  • P. Jasik
  • M. Glembin

  - Rok 2020

  MIDAS (Medical Image Dataset Annotation Service) is a custom-tailored tool for creating and managing datasets either for deep learning, as well as machine learning or any form of statistical research. The aim of the project is to provide one-fit-all platform for creating medical image datasets that could easily blend in hospital's workflow. In our work, we focus on the importance of medical data anonimization, discussing the...

  Pełny tekst do pobrania w serwisie zewnętrznym