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Hits 1 – 20 of 22
1
Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review
Inês Vigo; Luis Coelho; Sara Reis
In: Bioengineering; Volume 9; Issue 1; Pages: 27 (2022)
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2
An Approach Utilizing Linguistic Features for Fake News Detection
Kasseropoulos, Dimitrios,
;
Tjortjis, Christos
In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (2021)
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3
Emerging linguistic universals in communicating neural network agents ; Les universaux linguistiques émergeant dans les réseaux de neurones communicants
Chaabouni, Rahma
. - : HAL CCSD, 2021
In: https://hal.inria.fr/tel-03536320 ; Cognitive science. Ecole doctorale cerveau-cognition comportement (ED3C), 2021. English (2021)
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4
A Survey on Sign Language Recognition ...
S, Abilash
;
Ashish, Ashish
;
K S, Shreyas
. - : Zenodo, 2021
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5
A Survey on Sign Language Recognition ...
S, Abilash
;
Ashish, Ashish
;
K S, Shreyas
. - : Zenodo, 2021
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6
Extended Evaluation of the Effect of Real and Simulated Masks on Face Recognition Performance
Damer, Naser
;
Boutros, Fadi
;
Süßmilch, Marius
...
In: Fraunhofer IGD (2021)
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7
On Soft-Biometric Information Stored in Biometric Face Embeddings
Terhörst, Philipp
;
Fährmann, Daniel
;
Damer, Naser
...
In: Fraunhofer IGD (2021)
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8
On The Role of Machine Learning in A Human Learning Process
Wang, Peng
In: Teaching Culturally and Linguistically Diverse International Students in Open or Online Learning Environments: A Research Symposium (2021)
Abstract:
This study aims to explore the role of machine learning in a human learning process. In particular, we use word embedding and basic recurrent neural network methodologies in the teaching of terminology and specialized knowledge acquisition for translation students. Results show that word distribution in vector space trained on a relevant corpus can provide useful insights for learners to understand the terms and their associated concepts. We also build term recognition models for different levels of learners, which help instructors predict terms for these learners, while incorporating their previous knowledge and skills, so as to better communicate with the students in their teaching.
Keyword:
Human learning
;
Machine learning (ML)
;
Scholarship of Teaching and Learning
;
Terminological schematic context
;
University Extension
;
Word embedding
URL:
https://scholar.uwindsor.ca/cgi/viewcontent.cgi?article=1019&context=itos21
https://scholar.uwindsor.ca/itos21/session2/session2/3
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9
User Modeling in Social Media: Gender and Age Detection ...
Daneshvar, Saman
. - : Université d'Ottawa / University of Ottawa, 2019
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10
Survey on Sentiment Analysis Using Machine Learning ...
Parth Deshmukh
;
Adesh Gadge
;
Aniket Ganbote
. - : Zenodo, 2019
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11
Survey on Sentiment Analysis Using Machine Learning ...
Parth Deshmukh
;
Adesh Gadge
;
Aniket Ganbote
. - : Zenodo, 2019
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12
Copyright and the re-use of translation as data
Lewis, David
. - 2019
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13
User Modeling in Social Media: Gender and Age Detection
Daneshvar, Saman
. - : Université d'Ottawa / University of Ottawa, 2019
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14
Feature Selection for Sentiment Analysis of Swedish News Article Titles ; Val av datarepresentation för sentimentsanalys av svenska nyhetsrubriker
Dahl, Jonas
. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018
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15
Characterizing Transgender Health Issues in Twitter
Karami, Amir
;
Webb, Frank
;
Kitzie, Vanessa
In: Faculty Publications (2018)
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16
Deep Machine Learning and Neural Networks: An Overview ...
Chandrahas Mishra
;
D. L. Gupta
. - : Zenodo, 2017
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17
Deep Machine Learning and Neural Networks: An Overview ...
Chandrahas Mishra
;
D. L. Gupta
. - : Zenodo, 2017
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18
Sociolinguistically Informed Natural Language Processing: Automating Irony Detection
Wallace, Byron C
In: DTIC (2015)
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19
Learning parse-free event-based features for textual entailment recognition
Ofoghi, Bahadorreza
;
Yearwood, John
. - : Springer Berlin Heidelberg, 2010
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20
Machine learning for spoken dialogue systems
Oliver Lemon
;
Olivier Pietquin
In: http://homepages.inf.ed.ac.uk/olemon/LemonPietquinIS07.pdf (2007)
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