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Can GPT-4 Think Computationally about Digital Archival Tasks? – Part 2
Underwood, William ; Gage, Joan
2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :2533-2542 Dec, 2024
Enhancing Python Compiler Error Messages via Stack
Thiselton, Emillie ; Treude, Christoph
2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) Empirical Software Engineering and Measurement (ESEM), 2019 ACM/IEEE International Symposium on. :1-12 Sep, 2019
Cognitive Chunks as Neural Activity : Is it Possible to see What you Think?
Oestreicher, Lars
2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Cognitive Infocommunications (CogInfoCom), 2019 10th IEEE International Conference on. :199-204 Oct, 2019
IDyOMpy: A new Python-based model for the statistical analysis of musical expectations
Marion, Guilhem ; Gao, Fei ; Gold, Benjamin P. ; et al.
In Journal of Neuroscience Methods March 2025 415
Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension
Cheng, Gary ; Zou, Di ; Xie, Haoran ; et al.
In Computers & Education January 2024 208
You don’t need to follow anybody. You’ve got to think for yourselves : Monty Python’s satirische Annäherung an das Passionsnarrativ
Mäder, Marie-Therese ; Pezzoli-Olgiati, Daria ; Fritz, Natalie ; et al.
Fritz, Natalie (2017). You don’t need to follow anybody. You’ve got to think for yourselves : Monty Python’s satirische Annäherung an das Passionsnarrativ. In: Mäder, Marie-Therese; Pezzoli-Olgiati, Daria; Fritz, Natalie. Leid-Bilder. Die Passionsgeschichte in der Kultur. Marburg: Schüren, 238-257.
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Wu, Mingyuan ; Yang, Jingcheng ; Jiang, Jize ; et al.
Think Before Refusal : Triggering Safety Reflection in LLMs to Mitigate False Refusal Behavior
Si, Shengyun ; Wang, Xinpeng ; Zhai, Guangyao ; et al.
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Think Python : How to Think Like a Computer Scientist, Version 2.0.17
Downey, Allen B.
MODID-6302373fefa:Open Educational Resources (OERs)
OpenCV and Python for Emotion Analysis of Face Expressions
Islam Zim, MD Khadimul
2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) Innovative Practices in Technology and Management (ICIPTM), 2023 3rd International Conference on. :1-7 Feb, 2023
Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
Gu, Rong
EPTCS 411, 2024, pp. 160-177
Chatbot for Healthcare System Using NLP and Python
R, Yasir Abdullah ; Selvaraj, Aravind Samy ; N, Surya ; et al.
2022 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) Service Operations and Logistics, and Informatics (SOLI), 2022 IEEE International Conference on. :1-7 Dec, 2022
Think Complexity : Exploring Complexity Science With Python, Version 1.2.3
Downey, Allen B.
MODID-6302373fefa:Open Educational Resources (OERs)
Verilog Code Generation from Script for Generic Digital Designs
Dhare, Vaishali ; Sonar, Dhruvika
2025 5th Asian Conference on Innovation in Technology (ASIANCON) Innovation in Technology (ASIANCON), 2025 5th Asian Conference on. :1-4 Aug, 2025
Accelerating systematic reviews: a novel 1-wk screening protocol using rule-based automation with AI-assisted Python coding.
Robleto, Emely ; Shehadeh, Lina A.
American Journal of Physiology: Heart & Circulatory Physiology; Nov2025, Vol. 329 Issue 5, p1-23, 23p
Some snakes don't bite: Learning Python is less scary than you think, and can be very useful in reservoir modelling.
Kombrink, Henk
Geo Expro Magazine; 2025, Vol. 22 Issue 3, p100-100, 1p
Will we think in programming languages?
Jiří Fišer
Acta Informatica Pragensia, Vol 1, Iss 1, Pp 1-21 (2012)
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