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- Thomas W. Price
aka: Thomas William Price
North Carolina State University, Raleigh, NC, USA - Matthew Price-Williams
- William Price
- David William Price
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Publication search results
found 319 matches
- 2024
- Dinar Ajeng Kristiyanti, Willibrordus Bayu Nova Pramudya, Sanjaya Samuel Ady:
How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms. Int. J. Inf. Manag. Data Insights 4(2): 100293 (2024) - Colin Price, Olga Suhomlinova, William Green:
Researching big IT in the UK National Health Service: A systematic review of theory-based studies. Int. J. Medical Informatics 185: 105395 (2024) - Cheng Chou, Vineet Kumar:
Estimating Demand for Subscription Products: Identification of Willingness to Pay Without Price Variation. Mark. Sci. 43(4): 797-816 (2024) - Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. AAAI 2024: 23250-23258 - Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Kenneth R. Koedinger, Andrew S. Lan:
8th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM 2024 - Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price:
Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. EDM 2024 - Gina R. Bai, Zuoxuan Jiang, Thomas W. Price, Kathryn T. Stolee:
Evaluating the Effectiveness of a Testing Checklist Intervention in CS2: An Quasi-experimental Replication Study. ICER (1) 2024: 55-64 - James Skripchuk, John Bacher, Thomas W. Price:
An Investigation of the Drivers of Novice Programmers' Intentions to Use Web Search and GenAI. ICER (1) 2024: 487-501 - Keith Tran, John Bacher, Yang Shi, James Skripchuk, Thomas W. Price:
Overcoming Barriers in Scaling Computing Education Research Programming Tools: A Developer's Perspective. ICER (1) 2024: 312-325 - Fongci Lin, H. Patrick Young, Huan He, Jimin Huang, Roger Gagne, Daniel Rice, Nathan Price, William Byron, Yan Hu, Donn K. Felker, Will Button, Deniella Meeker, Allen L. Hsiao, Hua Xu, Charles J. Torre Jr., Wade L. Schulz:
Kamino: A Scalable Architecture to Support Medical AI Research Using Large Real World Data. ICHI 2024: 500-504 - Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, Will Overman, Ioannis Panageas, Georgios Piliouras:
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games. ICLR 2024 - Aakash Swami, Tirumala V:
A Combined Neural Price-Aware Collaborative Filtering and Clustering Approach for User Segmentation Based on Willingness to Pay. ICMLT 2024: 79-83 - Muntasir Hoq, Yang Shi, Juho Leinonen, Damilola Babalola, Collin F. Lynch, Thomas W. Price, Bita Akram:
Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning Models. SIGCSE (1) 2024: 526-532 - Heidi Reichert, Sandeep Sthapit, Benyamin T. Tabarsi, Ally Limke, Thomas W. Price, Tiffany Barnes:
Experience Helps, but It Isn't Everything: Exploring Causes of Affective State in Novice Programmers. SIGCSE (2) 2024: 1792-1793 - Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi:
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) 2024: 1904 - James Skripchuk, John Bacher, Yang Shi, Keith Tran, Thomas W. Price:
Novices' Perceptions of Web-Search and AI for Programming. SIGCSE (2) 2024: 1818-1819 - Wengran Wang, Ally Limke, Mahesh Bobbadi, Amy Isvik, Veronica Cateté, Tiffany Barnes, Thomas W. Price:
Idea Builder: Motivating Idea Generation and Planning for Open-Ended Programming Projects through Storyboarding. SIGCSE (1) 2024: 1402-1408 - Heidi Reichert, Benyamin T. Tabarsi, Thomas W. Price, Tiffany Barnes:
Jigsaw: A Tool for Decomposing and Planning Programming Problems. VL/HCC 2024: 236-247 - Yang Shi, Peter Brusilovsky, Bita Akram, Thomas W. Price, Juho Leinonen, Ken Koedinger, Andrew S. Lan:
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), Atlanta, GA, USA, July 14, 2024. CEUR Workshop Proceedings 3796, CEUR-WS.org 2024 [contents] - Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - 2023
- Andy M. Yip, William T. Ng, Ka-Wai Siu, Albert C. Cheung, Michael K. Ng:
Graph embedded dynamic mode decomposition for stock price prediction. Algorithmic Finance 10(1-2): 39-51 (2023) - Frank Förster, Marta Romeo, Patrick Holthaus, Luke J. Wood, Christian Dondrup, Joel E. Fischer, Farhana Ferdousi Liza, Sara Kaszuba, Julian Hough, Birthe Nesset, Daniel Hernández García, Dimosthenis Kontogiorgos, Jennifer Williams, Elif Ecem Özkan, Pepita Barnard, Gustavo Berumen, Dominic Price, Sue Cobb, Martina Wiltschko, Lucien Tisserand, Martin Porcheron, Manuel Giuliani, Gabriel Skantze, Patrick G. T. Healey, Ioannis Papaioannou, Dimitra Gkatzia, Saul Albert, Guanyu Huang, Vladislav Maraev, Epaminondas Kapetanios:
Working with troubles and failures in conversation between humans and robots: workshop report. Frontiers Robotics AI 10 (2023) - Saravanan Thirumuruganathan, Noora Al Emadi, Soon-Gyo Jung, Joni Salminen, Dianne Ramirez Robillos, Bernard J. Jansen:
Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating. Inf. Manag. 60(3): 103759 (2023) - Elialilia Okello, Philip Ayieko, Zachary Kwena, Gertrude Nanyonjo, Ubaldo Bahemuka, Matt Price, Elizabeth Bukusi, Ramadhan Hashim, Sarah Nakamanya, Brenda Okech, Monica Kuteesa, Bertha Oketch, Ali Ssetaala, Eugene Ruzagira, William Kidega, Patricia Fast, Freddie Kibengo, Heiner Grosskurth, Janet Seeley, Saidi Kapiga:
Acceptability and applicability of biometric iris scanning for the identification and follow up of highly mobile research participants living in fishing communities along the shores of Lake Victoria in Kenya, Tanzania, and Uganda. Int. J. Medical Informatics 172: 105018 (2023) - Finnegan J. Calabro, David F. Montez, Bart Larsen, Charles M. Laymon, William Foran, Michael N. Hallquist, Julie C. Price, Beatriz Luna:
Striatal dopamine supports reward expectation and learning: A simultaneous PET/fMRI study. NeuroImage 267: 119831 (2023) - Mark William Matthews, Arnold G. Dekker, Ian Price, Nathan Drayson, Joshua Pease, David Antoine, Janet M. Anstee, Robert Sharp, William Woodgate, Stuart R. Phinn, Stephen Gensemer:
Demonstration of a Modular Prototype End-to-End Simulator for Aquatic Remote Sensing Applications. Sensors 23(18): 7824 (2023) - Samiha Marwan, Thomas W. Price:
iSnap: Evolution and Evaluation of a Data-Driven Hint System for Block-Based Programming. IEEE Trans. Learn. Technol. 16(3): 399-413 (2023) - Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023 - Ellen W. McGinnis, Shania Lunna, Isabel Berman, Bryn C. Loftness, Skylar Bagdon, Christopher M. Danforth, Matthew Price, William E. Copeland, Ryan S. McGinnis:
Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. EMBC 2023: 1-4
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