„Text Data“

Suchergebnisse

3.990 Treffer

• Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning
  Sun, Huaiqiang ; Qu, Haibo ; Chen, Lu ; Wang, Wei ; Liao, Yi ; Zou, Ling ; Zhou, Ziyi ; Wang, Xiaodong ; Zhou, Shu
• The effectiveness of animated video and written text resources for learning microeconomics: A laboratory experiment
  Shiu, Alice ; Chow, Joseph ; Watson, Judith
• Searching textual and model-based process descriptions based on a unified data format
  Leopold, Henrik ; Aa, Han ˜van derœ ; Pittke, Fabian ; Raffel, Manuel ; Mendling, Jan ; Reijers, Hajo A.
• Newspaper text recognition of Gurumukhi script using random forest classifier
  Kaur, Rupinder Pal ; Kumar, Munish ; Jindal, M. K.
• Text-mining clinically relevant cancer biomarkers for curation into the CIViC database
  Lever, Jake ; Jones, Martin R. ; Danos, Arpad M. ; Krysiak, Kilannin ; Bonakdar, Melika ; Grewal, Jasleen K. ; Culibrk, Luka ; Griffith, Obi L. ; Griffith, Malachi ; Jones, Steven J. M.
• Deep Refinement: capsule network with attention mechanism-based system for text classification
  Jain, Deepak Kumar ; Jain, Rachna ; Upadhyay, Yash ; Kathuria, Abhishek ; Lan, Xiangyuan
• Sarcasm identification in textual data: systematic review, research challenges and open directions
  Eke, Christopher Ifeanyi ; Norman, Azah Anir ; Liyana Shuib ; Nweke, Henry Friday
• Automatic video scene text detection based on saliency edge map
  Huang, Xiaodong
• A framework for aspect based sentiment analysis on turkish informal texts
  Karagoz, Pinar ; Kama, Batuhan ; Ozturk, Murat ; Toroslu, I. Hakki ; Canturk, Deniz
• Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS
  Piotrkowicz, Alicja ; Johnson, Owen ; Hall, Geoff
• KLOSURE: Closing in on open–ended patient questionnaires with text mining
  Spasić, Irena ; Owen, David ; Smith, Andrew ; Button, Kate
• Text mining brain imaging reports
  Alex, Beatrice ; Grover, Claire ; Tobin, Richard ; Sudlow, Cathie ; Mair, Grant ; Whiteley, William
• AUTNT - A component level dataset for text non-text classification and benchmarking with novel script invariant feature descriptors and D-CNN
  Khan, Tauseef ; Mollah, Ayatullah Faruk
• SentiVerb system: classification of social media text using sentiment analysis
  Singh, Shailendra Kumar ; Sachan, Manoj Kumar
• An information-theoretic wavelet-based texture descriptor using Gaussian Markov random field models
  Nsimba, Cédrick Bamba ; Levada, Alexandre
• Optimal feature and classifier selection for text region classification in natural scene images using Weka tool
  Soni, Rituraj ; Kumar, Bijendra ; Chand, Satish
• Pap smear classification using combination of global significant value, texture statistical features and time series features
  Fekri-Ershad, Shervan
• Fully-Online Suffix Tree and Directed Acyclic Word Graph Construction for Multiple Texts
  Takagi, Takuya ; Inenaga, Shunsuke ; Arimura, Hiroki ; Breslauer, Dany ; Hendrian, Diptarama
• Diagnostic and prognostic value of amyloid PET textural and shape features: comparison with classical semi-quantitative rating in 760 patients from the ADNI-2 database
  Ben Bouallègue, Fayçal ; Vauchot, Fabien ; Mariano-Goulart, Denis ; Payoux, Pierre
• Accuracy of Textual Document Clustering With Semantic Approach – Natural Language Processing with Semantic by the help of WordNet. The accuracy of Clustering is assured by F-Measure
  Fahad, S. K. Ahammad 2017 LAP LAMBERT Academic Publishing