Using AI for the submission process: Tools & trends

Using AI for the submission process: Tools & trends

AI tools of varying kinds have been in use for some years now for the submission process for scholarly manuscripts, facilitating tasks such as consistency checking and peer reviewer identification. This talk will delve into examples of these tools, outlining which of the three main strands of AI: ru...

Saved in:

書目詳細資料
主要作者:	UPSHALL, Michael
格式:	text
出版:	Institutional Knowledge at Singapore Management University 2024
主題:	Artificial Intelligence and Robotics Databases and Information Systems Data Science Library and Information Science
在線閱讀:	https://ink.library.smu.edu.sg/ai_research_week/Programme/Programme/12 https://ink.library.smu.edu.sg/context/ai_research_week/article/1008/type/native/viewcontent/AI_in_Publishing_and_Peer_Review__Tools___Trends___AI_for_Research_Week_2024__1_.mp4 https://ink.library.smu.edu.sg/context/ai_research_week/article/1008/filename/0/type/additional/viewcontent/Upshall_Using_AI_for_the_submission_process.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University

相似書籍

Academic search and discovery tools in the age of AI and large language models: An overview of the space
由: TAY, Aaron
出版: (2024)

Writing with AI: Insights and experiences from researchers
由: TRAJANO, Karryl Kim Sagun, et al.
出版: (2024)

AI-fashion: Collaborative AI in the fashion industry
由: LUO, Y., et al.
出版: (2019)

"Generate Your L(AI)brary Hackathon" Showcase by Team SMU AI
由: AU YEONG, Wei Bin
出版: (2023)

Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
由: NAH, Fiona, et al.
出版: (2023)

Identifying legal and ethical values in AI
由: SIAU, Keng, et al.
出版: (2022)

"Generate Your L(AI)brary Hackathon" Showcase by Team librarybuddies
由: LEE, Matthias, et al.
出版: (2023)

Goal awareness for conversational AI: Proactivity, non-collaborativity, and beyond
由: DENG, Yang, et al.
出版: (2023)

Literature review in the generative AI era: How to make a compelling contribution
由: PAN, Shan L., et al.
出版: (2023)

Generative AI for translational scholarly communication
由: WANG, Lucy Lu
出版: (2023)

Try it Together - Qualitative coding with Atlas.ti
由: DONG, Danping, et al.
出版: (2024)

Try it together: Transcribing your audio with Whisper API
由: RATMELIA, Bella
出版: (2024)

The future of work now: Medical coding with AI
由: DAVENPORT, Thomas H., et al.
出版: (2020)

Roundtable discussion: The impact of the increasing use of AI on the research workflow - In particular, its effect on research quality, research evaluation and our skills
由: UPSHALL, Michael, et al.
出版: (2024)

Machine comprehension using match-LSTM and answer pointer
由: WANG, Shuohang, et al.
出版: (2017)

Cross-topic rumor detection using topic-mixtures
由: REN, Weijieying, et al.
出版: (2021)

Enhancing recursive supervised learning using clustering and combinatorial optimization (RSL-CC)
由: RAMANATHAN, Kiruthika, et al.
出版: (2008)

Using constraint programming and graph representation learning for generating interpretable cloud security policies
由: KAZDAGLI, Mikhail, et al.
出版: (2022)

AI-powered systems for scholarly search and content production
由: WANG, Lucy Lu
出版: (2024)

FinTech empowerment: Data science, AI, and machine learning
由: SIAU, Keng, et al.
出版: (2019)

Why companies need an AI policy
由: Lugtu, Reynaldo C., Jr.
出版: (2024)

Managing the power and pitfalls of data in AI
由: Singapore Management University
出版: (2019)

Handling long and richly constrained tasks through constrained hierarchical reinforcement learning
由: LU, Yuxiao, et al.
出版: (2024)

CausVSR: Causality inspired visual sentiment recognition
由: ZHANG, Xinyue, et al.
出版: (2024)

A two-stage matheuristic for the home healthcare routing and scheduling problem with perishable products
由: GUNAWAN, Aldy, et al.
出版: (2024)

Food computing: Domain adaptation and causal inference
由: WANG, Qing
出版: (2024)

A unified dialogue user simulator for few-shot data augmentation
由: WAN, Dazhen, et al.
出版: (2022)

Effect of Quality Management Practices in Distributed Offshore Software Development: An Empirical Analysis
由: RAMASUBBU, Narayan, et al.
出版: (2004)

An LSTM model for cloze-style machine comprehension
由: WANG, Shuohang, et al.
出版: (2018)

Causal intervention for weakly-supervised semantic segmentation
由: ZHANG Dong,, et al.
出版: (2020)

Neural multimodal belief tracker with adaptive attention for dialogue systems
由: ZHANG, Zheng, et al.
出版: (2019)

Online hyperparameter optimization for class-incremental learning
由: LIU, Yaoyao, et al.
出版: (2023)

Trajectory similarity learning with auxiliary supervision and optimal matching
由: ZHANG, Hanyuan, et al.
出版: (2020)

Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning
由: TENG, Teck-Hou, et al.
出版: (2014)

Preface: WI 2015
由: TAN, Ah-Hwee, et al.
出版: (2015)

Preface IAT 2015
由: TAN, Ah-hwee, et al.
出版: (2015)

Preface to WI-IAT 2015 workshops and demo/posters
由: TAN, Ah-hwee, et al.
出版: (2015)

Silver assistants for aging-in-place
由: WANG, Di, et al.
出版: (2015)

Towards intelligent caring agents for Aging-In-Place: Issues and challenges
由: WANG, Di, et al.
出版: (2014)

Non-intrusive robust human activity recognition for diverse age groups
由: WANG, Di, et al.
出版: (2015)