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• Developing a Measure Image and Applying It to Deep Learning

  Author(s):

  Lucas Francesco Piccioni Costa, Siqueira Hugo Valadares, Marcella Scoczynski Ribeiro Martins, André Yoshio Caram Ogoshi

  Editor(s):

  Ailynn Ang, Jennifer Bain, David M. Weigl (see profile)

  Date:

  2023

  Group(s):

  Music Encoding Initiative

  Subject(s):

  Digital humanities, Music

  Item Type:

  Conference poster

  Tag(s):

  deep learning, Image Codification, Music encoding, Music Theory

  Search term matches:

  Title

  ... Developing a Measure Image and Applying It to Deep Learning ...

  Tag

  ... deep learning ...

  Full Text

  ... 122 Developing a Measure Image and Applying It to Deep Learning Lucas Francesco Piccioni ...

  
  

• The Automatic Generation of Contextual Questions and Answers for English Learners

  Author(s):

  Sungjin Ahn, Sung Won Han, Minji Kang (see profile) , Hoyeol Kim, Donghwan Kim

  Date:

  2021

  Group(s):

  ACH 2021

  Subject(s):

  Digital humanities, Machine learning, Teaching

  Item Type:

  Conference poster

  Tag(s):

  BERT, deep learning, GPT-2, T5, transformer, Pedagogy

  Search term matches:

  Tag

  ... deep learning ...

  
  

• Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgrouping

  Author(s):

  Chundra Cathcart, Taraka Rama

  Date:

  2020

  Subject(s):

  Computational linguistics, Historical linguistics

  Item Type:

  Conference proceeding

  Tag(s):

  computational historical linguistics, deep learning, Indo-Aryan, predictions, sound change

  Search term matches:

  Tag

  ... deep learning ...

  Full Text

  ... -Aryan dialectology stands to benefit greatly from the ap- plication of deep learning techniques. This paper seeks ...

  
  

• Retrieving Music Semantics from Optical Music Recognition by Machine Translation

  Author(s):

  Martha E. Thomae

  Editor(s):

  Elsa De Luca (see profile) , Julia Flanders

  Date:

  2020

  Group(s):

  Music Encoding Initiative

  Subject(s):

  Music, Digital humanities, Machine translating

  Item Type:

  Conference paper

  Tag(s):

  music encoding, mir, deep learning, Machine translation

  Search term matches:

  Tag

  ... deep learning ...

  
  

• Deep Learning based Attribute Representation in Ancient Vase Paintings

  Author(s):

  Torsten Bendschus, Prathmesh Madhu (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Classical antiquities, Computer vision, Machine learning

  Item Type:

  Video

  Tag(s):

  deep learning, greek vases, scene understanding, Classical archaeology

  Search term matches:

  Title

  ... Deep Learning based Attribute Representation in Ancient Vase Paintings ...

  Tag

  ... deep learning ...

  
  

• Deep Learning Based Attribute Representation in Ancient Vase Paintings

  Author(s):

  Torsten Bendschus, Prathmesh Madhu (see profile)

  Date:

  2020

  Group(s):

  DH2020

  Subject(s):

  Classical antiquities, Computer vision, Machine learning, Narration (Rhetoric)

  Item Type:

  Conference proceeding

  Tag(s):

  deep learning, vases, Classical archaeology, Greek, Narrative

  Search term matches:

  Title

  ... Deep Learning Based Attribute Representation in Ancient Vase Paintings ...

  Tag

  ... deep learning ...

  Full Text

  ... Words Torsten Bendschus, PhD; Prathmesh Madhu, M.Sc Deep Learning based Attribute Representation ...

  
  

• When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks

  Author(s):

  Wei-Ting Chang, Chang-Ting Chu, CHAO-LIN LIU (see profile) , Ti-Yong Zheng

  Date:

  2020

  Group(s):

  DH2020, Digital Humanists

  Subject(s):

  Artificial intelligence, China, Educaton, Digital humanities, Research, Methodology, Machine learning, Natural language processing (Computer science)

  Item Type:

  Video

  Tag(s):

  deep learning, explainable artificial intelligence, information extraction, text mining, Chinese studies, Digital humanities research and methodology, Natural language processing

  Search term matches:

  Tag

  ... deep learning ...

  
  

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