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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
Using Dimensionality Reduction and Tag Parameter Spaces to Study Historical Change in a Large Document Archive
Author(s):
Tim Hitchcock, William J Turkel (see profile)
Date:
2021
Group(s):
CSDH-SCHN 2021: Making the Network
Subject(s):
Text linguistics, Historical databases, Machine learning, Representation, Crime and punishment
Item Type:
Presentation
Tag(s):
Old Bailey Online
The Positive Disruptive Potential of Deepfakes and Synthetic Data
Author(s):
Aaron Tucker (see profile)
Date:
2021
Group(s):
CSDH-SCHN 2021: Making the Network
Subject(s):
Machine learning, Open access
Item Type:
Conference proceeding
Tag(s):
Deepfakes, facial recognition, Open Acces, synthetic data
Possible ethics on machine learning biases and their impacts in future prospects
Author(s):
Marley Oliveira Bacelar (see profile)
Date:
2021
Subject(s):
Ethics, Machine learning
Item Type:
Article
Monitoring bias and fairness in machine learning models: A review
Author(s):
Marley Oliveira Bacelar (see profile)
Date:
2021
Subject(s):
Machine learning
Item Type:
Article
Tag(s):
Bias, Mchine learning
Data and the Human
Author(s):
Paul Fyfe (see profile)
Date:
2020
Group(s):
TC Digital Humanities
Subject(s):
Data science, Data visualization, Artificial intelligence, Machine learning, Social media
Item Type:
Syllabus
Tag(s):
Data, syllabus, data literacy

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