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Annotation of Medieval Music Facsimiles Using ‘Good Enough’ OMR
Author(s):
Joshua Stutter
Editor(s):
Stefan Münnich
(see profile)
,
David Rizo
Date:
2022
Group(s):
Music Encoding Initiative
Subject(s):
Digital humanities
,
Machine learning
,
Medieval
,
Music
Item Type:
Conference proceeding
Tag(s):
Notre Dame
,
transcription
Segmentation of Bank Consumers for Artificial Intelligence Marketing
Author(s):
Omri Raiter
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Tag(s):
AI marketing
,
bank
,
Card holders
,
cluster analysis
Applying Supervised Machine Learning Algorithms for Fraud Detection in Anti-Money Laundering
Author(s):
Omri Raiter
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Tag(s):
AML
,
ANN
,
Logistic Regression
,
Random Forest
,
SVM
Artificial intelligence and machine learning: improving the efficiency of library services
Author(s):
Caroline Stafford
(see profile)
Date:
2021
Group(s):
CityLIS
Subject(s):
Artificial intelligence
,
Library and information science
,
Machine learning
Item Type:
Essay
Mapping the Latent Spaces of Culture
Author(s):
Ted Underwood
(see profile)
Date:
2021
Group(s):
Digital Humanists
,
Sociology
,
TC Digital Humanities
Subject(s):
Machine learning
,
Natural language processing
,
Cultural theory
Item Type:
Article
Robotic Process Automation in Healthcare
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Machine learning
,
Artificial intelligence
Item Type:
Article
Tag(s):
#health
Major ethical challenges facing introduction of artificial intelligence in healthcare
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
health
Importance of Natural Language Processing in Healthcare as Part of AI
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
#healt
Role of Machine Learning in Disease Identification and Diagnosis
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
health
AI in Imaging and Diagnosis of Cancer
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
#health
Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset
Author(s):
Michael Lyons
(see profile)
Date:
2021
Group(s):
Digital Art History
,
Digital Humanists
,
Linked Open Data
,
Science and Technology Studies (STS)
Subject(s):
Machine learning
,
Artificial intelligence
,
Data science
,
Theories of affect
,
Contemporary art
,
Computer vision
Item Type:
Article
Tag(s):
facial expression
,
informed consent
,
critique
,
datasets
Adoption of machine learning for medical diagnosis
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
#healthcare
AI in Healthcare: medical and socio-economic benefits and challenges
Author(s):
Mohammed Yousef Shaheen
(see profile)
Date:
2021
Subject(s):
Artificial intelligence
,
Machine learning
Item Type:
Article
Tag(s):
#healthcare
,
Quality of Healthcare Services
Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset
Author(s):
Michael Lyons
(see profile)
Date:
2021
Group(s):
Archives
,
Digital Art History
,
Digital Humanists
,
Science and Technology Studies (STS)
Subject(s):
Affect
,
Contemporary art
,
Machine learning
,
Computer vision
,
Ethics
,
Fair use
Item Type:
Essay
Tag(s):
dataset
,
visual psychology
,
affective computing
,
informed consent
Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset
Author(s):
Michael Lyons
(see profile)
Date:
2021
Group(s):
Digital Art History
,
Digital Humanists
,
Linked Open Data
,
Science and Technology Studies (STS)
Subject(s):
Affect
,
Contemporary art
,
Critical data studies
,
Science and art
,
STS
,
Machine learning
Item Type:
Article
Tag(s):
facial expression
,
affective computing
,
dataset
,
Ethics of Emerging Technologies
Determining success factors for project with supervised machine learning
Author(s):
Grant Saxena
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Tag(s):
Business analytics
,
project management
Investigating the determinants of successful budgeting with SVM and Binary models.
Author(s):
Naveen Kunnathuvalappil Hariharan
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Investigating the determinants of successful budgeting with SVM and Binary models
Author(s):
Naveen Kunnathuvalappil Hariharan
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Tree Variable Selection for Paired Case-Control Studies with Application to Microbiome Data
Author(s):
Hemant Ishwaran
,
Min Lu
(see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Book chapter
Tag(s):
variable selection; paired case-control studies
,
microbiome data
Predictive model building for driverbased budgeting using machine learning
Author(s):
Naveen Kunnathuvalappil Hariharan
(see profile)
Date:
2017
Subject(s):
Machine learning
,
Business writing
Item Type:
Article
Tag(s):
finance
,
financial decision-making
“Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
Author(s):
Michael Lyons
(see profile)
Date:
2021
Group(s):
Archives
,
Digital Art History
,
Digital Humanists
,
Linked Open Data
,
Science and Technology Studies (STS)
Subject(s):
Affect
,
Artificial intelligence
,
Critical data studies
,
Information ethics
,
Machine learning
Item Type:
Article
Tag(s):
facial expression
,
training sets
,
affective computing
,
dataset
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
,
Pedagogy
Item Type:
Conference poster
Tag(s):
BERT
,
deep learning
,
GPT-2
,
T5
,
transformer
Ottoman Transkribus: Training an HTR+ Model for 18th century Ottoman Paleography
Author(s):
Merve Tekgürler
(see profile)
Date:
2021
Group(s):
Global Digital Humanities Symposium
Subject(s):
Digital humanities
,
Early modern history
,
Machine learning
,
Ottoman Empire
,
Paleography
Item Type:
Presentation
Tag(s):
ottoman turkish
,
text recognition
,
transkribus
Deep Learning of Biblical Cantillation Based on Linguistic Features Poster
Author(s):
Chaim Metzger
(see profile)
,
Joshua Waxman
Date:
2021
Group(s):
CSDH-SCHN 2021: Making the Network
Subject(s):
Hebrew bible
,
Machine learning
,
Music analysis
,
Syntax
Item Type:
Conference poster
Deep Learning of Biblical Cantillation based on Linguistic Features
Author(s):
Chaim Metzger
(see profile)
,
Joshua Waxman
Date:
2021
Group(s):
CSDH-SCHN 2021: Making the Network
Subject(s):
Hebrew bible
,
Machine learning
,
Music analysis
,
Syntax
Item Type:
Presentation
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