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Pose-invariant face recognition with multitask cascade networks
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2
RE-AIMing Predictive Text
Higgs, Matthew; Mccallum, Claire; Sutton, Selina. - : Association for Computational Linguistics, 2021
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3
How Design Researchers Interpret Probes: Understanding the Critical Intentions of a Designerly Approach to Research
Cerci, Sena; Cecchinato, Marta; Vines, John. - : Association for Computing Machinery, 2021
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4
Developing a risk breakdown matrix for onshore wind farm projects using fuzzy case-based reasoning
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5
Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech
Zhao, Yan; Liang, Zhenlin; Du, Jing. - : Frontiers, 2021
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6
Entropy Measures in Machine Fault Diagnosis: Insights and Applications
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TalkFutures: Supporting Qualitative Practices in Distributed Community Engagements
Rainey, Jay; Alvarez De La Vega, Juan; Lambton-Howard, Daniel. - : Association for Computing Machinery, 2020
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8
Feeling Alone Among 317 Million Others: Disclosures of Loneliness on Twitter
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9
Automatic Sign Dance Synthesis from Gesture-based Sign Language
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10
Online training and development for those who work with adult migrants with little or no home language schooling
Naeb, Rola; Young-Scholten, Martha. - : Peter Lang, 2019
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11
A UK Case Study on Cybersecurity Education and Accreditation
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12
Programmable Donations: Exploring Escrow-based Conditional Giving
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13
Barriers and Identified Solutions to the Integration of Digital Technologies in the Classroom: A Case Study of Teachers in Nigeria
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14
Wearable Social Sensing and Its Application in Anxiety Assesment
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15
How Can Digital Educational Games Be Used to Improve Engagement with Mathematics in the Classroom?
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16
ActuEating: Designing, Studying and Exploring Actuating Decorative Artefacts
Nabil, Sara; Everitt, Aluna; Sturdee, Miriam. - : Association for Computing Machinery, 2018
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17
Moving object recognition using multi-view three-dimensional convolutional neural networks
He, Tao; Mao, Hua; Yi, Zhang. - : Springer, 2017
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18
Algerian Modern Colloquial Arabic Speech Corpus (AMCASC): regional accents recognition within complex socio-linguistic environments
Abstract: The Algerian linguistic situation is very intricate due to the ethnic, geographical and colonial occupation influences which have lead to a complex sociolinguistic environment. As a result of the contact between different languages and accents, the Algerian speech community has acquired a distinctive sociolinguistic situation. In addition to the intra- and inter- lingual variations describing day-to-day linguistic behavior of the Algerian speakers, their speech is characterized by the presence of many linguistic phenomena such as bilingualism and code switching. The study of automatic regional accent recognition in such a type of environment is a new idea in the field of automatic languages, dialect and accent recognition especially that previous studies were conducted using monolingual evaluation data. The assessment of the effectiveness of GMM-UBM and i-vectors frameworks for accent recognition approaches through the use of the Algerian Modern Colloquial Arabic Speech Corpus (AMCASC), which is a linguistic resource collected for this purpose, shows that not only the recording conditions mismatch, channels mismatch, recordings length mismatch and the amplitude clipping which have a non-desirable effect on the effectiveness of these acoustic approaches but also language contact phenomena are other perturbation sources which should be taken into consideration especially in real life applications.
Keyword: Classics and related subjects; G400 Computer Science; Q100 Linguistics; Q900 Others in Linguistics
URL: https://doi.org/10.1007/s10579-016-9347-6
http://nrl.northumbria.ac.uk/id/eprint/26432/
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19
Using Massively Multiplayer Role Playing Games (MMORPGs) to support Second Language Learning: A Case Study of the Student Journey
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20
Automatic Dance Generation System Considering Sign Language Information
Iwamoto, Naoya; Shum, Hubert P. H.; Morishima, Shigeo. - : Association for Computing Machinery, 2016
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