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ORCIDAI Magazine, Volume 44
Volume 44, Number 1, March 2023
- Issue Information. 1-2
- Kristen Brent Venable, Odd Erik Gundersen
:
Editorial. 3 - Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning. 4-15 - Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent online selling point extraction and generation for e-commerce recommendation. 16-29 - Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Predicting micronutrient deficiency with publicly available satellite data. 30-40 - Yanyan Zou, Xueying Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Mian Ma, Sulong Xu, Han Yu, Lingfei Wu:
Automatic product copywriting for e-commerce. 41-53 - Serdar Kadioglu, Xin Wang, Amin Hosseininasab, Willem-Jan van Hoeve:
Seq2Pat: Sequence-to-pattern generation to bridge pattern mining with machine learning. 54-66 - Naveen Gudigantala, Sreedhar Madhavaram, Pelin Bicen:
An AI decision-making framework for business value maximization. 67-84 - Sebastiaan De Peuter, Antti Oulasvirta, Samuel Kaski:
Toward AI assistants that let designers design. 85-96 - Samuel Ackerman, Lincoln Alexander, Margaret Bennett, Donglin Chen, Eitan Farchi, Autumn Houseknecht, Padmanabhan Santhanam:
Deploying automated ticket router across the enterprise. 97-111 - Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid forecasting of geopolitical events†. 112-128 - Michael Wollowski:
Using ChatGPT to produce code for a typical college-level assignment. 129-130
Volume 44, Number 2, June 2023
- Issue Information. 131-132
- Adam Amos-Binks, Dustin Dannenhauer, Leilani H. Gilpin:
The anticipatory paradigm. 133-143 - Laura M. Hiatt:
The role of priming in anticipatory thinking. 144-154 - Steven J. Jones, John E. Laird:
A cognitive architecture theory of anticipatory thinking. 155-164 - Matthew Klenk, Matthew Hong, Shabnam Hakimi, Charlene C. Wu:
Anticipatory thinking in design. 165-172 - Phil Munz, Max Hennick, James Stewart:
Maximizing AI reliability through anticipatory thinking and model risk audits. 173-184 - Bing Liu, Sahisnu Mazumder, Eric Robertson, Scott Grigsby:
AI Autonomy: Self-initiated Open-world Continual Learning and Adaptation. 185-199 - Jennifer Sleeman, Jay Brett:
AI climate tipping-point discovery (ACTD). 200-201 - Juliette Mattioli, Bertrand Braunschweig:
AITA: AI trustworthiness assessment. 202-203 - Andreas Martin:
AAAI-MAKE 2023: Challenges requiring the combination of machine learning and knowledge engineering. 204-205 - John Beverley, Amanda Hicks:
Evaluation and Design of Generalist Systems (EDGeS). 206-207 - Ross Mead, Hae Won Park:
AAAI 2023 Spring Symposium on HRI in Academia and Industry: Bridging the Gap. 208-210 - Takashi Kido, Keiki Takadama:
AAAI 23 Spring Symposium Report on "Socially Responsible AI for Well-Bing". 211-212
Volume 44, Number 3, September 2023
- Issue Information. 213-215
- Biplav Srivastava, Anita Nikolich, Tarmo Koppel:
AI and elections: An introduction to the special issue. 216-217 - Deepak P, Stanley Simoes, Muiris MacCarthaigh:
AI and core electoral processes: Mapping the horizons. 218-239 - Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On safe and usable chatbots for promoting voter participation. 240-247 - Samiran Gode, Supreeth Bare, Bhiksha Raj, Hyungon Yoo:
Understanding political polarization using language models: A dataset and method. 248-254 - Khurram Yamin, Nima Jadali, Yao Xie, Dima Nazzal:
Novelty detection for election fraud: A case study with agent-based simulation data. 255-262 - Madeline E. Bassetti, Gustavo Dias, Daniel L. Chen, Alan Mortoni, Ritesh Das:
Civicbase: An open-source platform for deploying Quadratic Voting for Survey Research. 263-273 - Gary Klein, Robert R. Hoffman, William J. Clancey, Shane T. Mueller, Florian Jentsch, Mohammadreza Jalaeian:
"Minimum Necessary Rigor" in empirically evaluating human-AI work systems. 274-281 - Daniel E. O'Leary:
An analysis of Watson vs. BARD vs. ChatGPT: The Jeopardy! Challenge. 282-295 - Muhammad Asif Khan, Hamid Menouar, Ridha Hamila:
Visual crowd analysis: Open research problems. 296-311 - Andrew Howes, Jussi P. P. Jokinen, Antti Oulasvirta:
Towards machines that understand people. 312-327 - Gerardo Adesso:
Towards the ultimate brain: Exploring scientific discovery with ChatGPT AI. 328-342 - Richard Granger, David Leake, Christopher K. Riesbeck:
In Memoriam: Roger C. Schank, 1946-2023. 343-344 - James J. Donlon, Ashok K. Goel:
Looking back, looking ahead: Strategic initiatives in AI and NSF's AI Institutes Program. 345-348
Volume 44, Number 4, December 2023
- Issue Information. 349-351
- Karen Zita Haigh, Alexander Wong, Yuhao Chen:
Introduction to the special issue on Innovative Applications of Artificial Intelligence (IAAI 2023). 352-353 - Rahul Nair, Bo Schwartz Madsen, Alexander Kjærum:
An explainable forecasting system for humanitarian needs assessment. 354-362 - Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Expanding impact of mobile health programs: SAHELI for maternal and child care. 363-376 - Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Xinyue Gu, Jin Wang, Qiming Chen, Linxiao Yang, Qingsong Wen, Liang Sun:
Energy forecasting with robust, flexible, and explainable machine learning algorithms. 377-393 - Mihye Kim, Jimyung Choi, Jaehyun Kim, Wooyoung Kim, Yeonung Baek, Gisuk Bang, Kwangwoon Son, Yeonman Ryou, Kee-Eung Kim:
Trustworthy residual vehicle value prediction for auto finance. 394-405 - Kyung-Pyo Kang, Ga Hyeon Jung, Jung Hoon Eom, Soon Beom Kwon, Jae Hong Park:
Application of deep metric learning in the verification process of wheel design similarity: Hyundai motor company case. 406-417 - Chao Zheng, Xu Cao, Kun Tang, Zhipeng Cao, Elena Sizikova, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Xinrui Yan, Shuqi Mei:
High-definition map automatic annotation system based on active learning. 418-430 - Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel:
Accurate detection of weld seams for laser welding in real-world manufacturing. 431-441 - Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong:
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. 442-452 - Ali Baheri:
Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. 453-459 - Sarath Sreedharan:
Human-aware AI - A foundational framework for human-AI interaction. 460-466 - Mohammad Rostami:
Robust internal representations for domain generalization. 467-481 - Anuradha Welivita, Pearl Pu:
A survey of consumer health question answering systems. 482-507 - Adam Eck, Leen-Kiat Soh, Prashant Doshi:
Decision making in open agent systems. 508-523 - Thomas Arnold, Matthias Scheutz:
Understanding the spirit of a norm: Challenges for norm-learning agents. 524-536 - Min Su Lee, Yu-Jung Heo, Seongho Choi, Woo Suk Choi, Byoung-Tak Zhang:
Video Turing Test: A first step towards human-level AI. 537-554 - Derek H. Sleeman, Kenneth J. Gilhooly:
Groups of experts often differ in their decisions: What are the implications for AI and machine learning? A commentary on Noise: A Flaw in Human Judgment, by Kahneman, Sibony, and Sunstein (2021). 555-567
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