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1
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
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Learning to Prompt for Vision-Language Models

International journal of computer vision, 2022-09, Vol.130 (9), p.2337-2348 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2022 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-022-01653-1

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2
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
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An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing

Journal of the Academy of Marketing Science, 2022-11, Vol.50 (6), p.1324-1350 [Peer Reviewed Journal]

Academy of Marketing Science 2022 ;COPYRIGHT 2022 Springer ;Academy of Marketing Science 2022. ;ISSN: 0092-0703 ;EISSN: 1552-7824 ;DOI: 10.1007/s11747-022-00840-3

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3
Can artificial intelligence help for scientific writing?
Can artificial intelligence help for scientific writing?
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Can artificial intelligence help for scientific writing?

Critical care (London, England), 2023-02, Vol.27 (1), p.75-75, Article 75 [Peer Reviewed Journal]

2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2023 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-023-04380-2 ;PMID: 36841840

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4
Urdu language processing: a survey
Urdu language processing: a survey
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Urdu language processing: a survey

The Artificial intelligence review, 2017-03, Vol.47 (3), p.279-311 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9482-x

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5
Transformer models for text-based emotion detection: a review of BERT-based approaches
Transformer models for text-based emotion detection: a review of BERT-based approaches
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Transformer models for text-based emotion detection: a review of BERT-based approaches

The Artificial intelligence review, 2021-12, Vol.54 (8), p.5789-5829 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-021-09958-2

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6
Sentiment of Emojis
Sentiment of Emojis
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Sentiment of Emojis

PloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kralj Novak et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Kralj Novak et al 2015 Kralj Novak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0144296 ;PMID: 26641093

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7
Sentiment analysis using deep learning architectures: a review
Sentiment analysis using deep learning architectures: a review
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Sentiment analysis using deep learning architectures: a review

The Artificial intelligence review, 2020-08, Vol.53 (6), p.4335-4385 [Peer Reviewed Journal]

Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2019. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09794-5

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8
A survey on sentiment analysis methods, applications, and challenges
A survey on sentiment analysis methods, applications, and challenges
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A survey on sentiment analysis methods, applications, and challenges

The Artificial intelligence review, 2022-10, Vol.55 (7), p.5731-5780 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. 2022. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10144-1

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9
PCT: Point cloud transformer
PCT: Point cloud transformer
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PCT: Point cloud transformer

Computational visual media (Beijing), 2021-06, Vol.7 (2), p.187-199 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-021-0229-5

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10
A call for deep-learning healthcare
A call for deep-learning healthcare
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A call for deep-learning healthcare

Nature medicine, 2019-01, Vol.25 (1), p.14-15 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jan 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0320-3 ;PMID: 30617337

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11
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Journal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053

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12
A comprehensive survey on model compression and acceleration
A comprehensive survey on model compression and acceleration
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A comprehensive survey on model compression and acceleration

The Artificial intelligence review, 2020-10, Vol.53 (7), p.5113-5155 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09816-7

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13
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Mousavi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Mousavi et al 2019 Mousavi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216456 ;PMID: 31063501

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14
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
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Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

The New England journal of medicine, 2021-07, Vol.385 (3), p.217-227 [Peer Reviewed Journal]

Copyright © 2021 Massachusetts Medical Society. All rights reserved. ;Copyright © 2021 Massachusetts Medical Society. ;COPYRIGHT 2021 Massachusetts Medical Society ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa2027540 ;PMID: 34260835

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15
Recent automatic text summarization techniques: a survey
Recent automatic text summarization techniques: a survey
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Recent automatic text summarization techniques: a survey

The Artificial intelligence review, 2017, Vol.47 (1), p.1-66 [Peer Reviewed Journal]

Springer Science+Business Media Dordrecht 2016 ;COPYRIGHT 2017 Springer ;Artificial Intelligence Review is a copyright of Springer, 2017. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-016-9475-9

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16
A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics
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A Standard Model of the Mind: Toward a Common Computational Framework Across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

The AI magazine, 2017-12, Vol.38 (4), p.13-26 [Peer Reviewed Journal]

2017 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;COPYRIGHT 2017 American Association for Artificial Intelligence ;Copyright Association for the Advancement of Artificial Intelligence Winter 2017 ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v38i4.2744

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17
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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Forecasting stock prices with long-short term memory neural network based on attention mechanism

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770

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18
A survey on classification techniques for opinion mining and sentiment analysis
A survey on classification techniques for opinion mining and sentiment analysis
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A survey on classification techniques for opinion mining and sentiment analysis

The Artificial intelligence review, 2019-10, Vol.52 (3), p.1495-1545 [Peer Reviewed Journal]

Springer Science+Business Media B.V., part of Springer Nature 2017 ;COPYRIGHT 2019 Springer ;Artificial Intelligence Review is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-017-9599-6

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19
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
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What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature

Education sciences, 2023-04, Vol.13 (4), p.410 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2227-7102 ;EISSN: 2227-7102 ;DOI: 10.3390/educsci13040410

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20
Hate speech detection and racial bias mitigation in social media based on BERT model
Hate speech detection and racial bias mitigation in social media based on BERT model
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Hate speech detection and racial bias mitigation in social media based on BERT model

PloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Mozafari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2020 Mozafari et al 2020 Mozafari et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0237861 ;PMID: 32853205

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