• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 662 matches

• 2023
• 
  Alberto Nogales, Álvaro J. García-Tejedor, Pedro Chazarra, Arturo Ugalde-Canitrot:
  Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity. Comput. Methods Programs Biomed. 232: 107427 (2023)
• 
  Thomas Söbbing:
  International Summer Program Understanding U.S. IP Law - IP-Rechtseminar an der Stanford Law School (SLS). Comput. und Recht 39(6): 64 (2023)
• 
  Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan:
  Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. Entropy 25(6): 888 (2023)
• 
  Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
  SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. 24(1): 3 (2023)
• 
  Xiaoyi Liu, Yingtian Shi, Chun Yu, Cheng Gao, Tianao Yang, Chen Liang, Yuanchun Shi:
  Understanding In-Situ Programming for Smart Home Automation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 66:1-66:31 (2023)
• 
  Robert Hlavatý, Igor Krejcí, Milan Houska, Pavel Moulis, Jan Rydval, Jana Pitrová, Ladislav Pilar, Tereza Horáková, Ivana Tichá:
  Understanding the decision-making in small-scale beef cattle herd management through a mathematical programming model. Int. Trans. Oper. Res. 30(4): 1955-1985 (2023)
• 
  Ben Greenman, Sam Saarinen, Tim Nelson, Shriram Krishnamurthi:
  Little Tricky Logic: Misconceptions in the Understanding of LTL. Art Sci. Eng. Program. 7(2) (2023)
• 
  Satinder Gill, Bryson Goolsby, Dianne T. V. Pawluk:
  Kinesthetic Feedback for Understanding Program Execution. Sensors 23(11): 5159 (2023)
• 
  Deheng Yang, Yan Lei, Xiaoguang Mao, Yuhua Qi, Xin Yi:
  Seeing the Whole Elephant: Systematically Understanding and Uncovering Evaluation Biases in Automated Program Repair. ACM Trans. Softw. Eng. Methodol. 32(3): 65:1-65:37 (2023)
• 
  Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
  Understanding Programs by Exploiting (Fuzzing) Test Cases. ACL (Findings) 2023: 10667-10679
• 
  Attaporn Khaesawad, Vibol Yem, Nobuyuki Nishiuchi:
  Classification of Programming Logic Understanding Level Using Mouse Tracking Heatmaps and Machine Learning Techniques. CISIM 2023: 469-480
• 
  Johanna Peltola, Kirsikka Kaipainen, Katariina Keinonen, Noona Kiuru, Markku Turunen:
  Developing A Conversational Interface for an ACT-based Online Program: Understanding Adolescents' Expectations of Conversational Style. CUI 2023: 1:1-1:16
• 
  Francisco José Gallego-Durán, Patricia Compañ-Rosique, Carlos J. Villagrá Arnedo, Gala M. García-Sánchez, Rosana Satorre-Cuerda, Rafael Molina-Carmona, Faraón Llorens-Largo, Sergio J. Viudes-Carbonell, Alberto Real-Fernández, Jorge Valor-Lucena:
  Decoding Student Error in Programming: An Iterative Approach to Understanding Mental Models. HCI (30) 2023: 256-273
• 
  Taiki Matsui, Shintaro Maeda, Kento Koike, Takahito Tomoto:
  A Learning Support System for Programming that Promotes Understanding of Source Code Function Through Behavior Modeling. HCI (6) 2023: 298-309
• 
  Soe Thandar Aung, May Zin Htun, Nobuo Funabiki, Yan Watequlis Syaifudin, Wen-Chung Kao:
  A Study of Grammar-concept Understanding Problem for Web Server-Side JavaScript Programming Learning. ICCE-Taiwan 2023: 233-234
• 
  Prajish Prasad, Rishabh Balse, Jayakrishnan Madathil Warriem:
  Understanding Students' Experiences in an Online Programming Course from a Transactional Distance Perspective. ITiCSE (1) 2023: 96-102
• 
  Sandra Lovrencic, Vlatka Sekovanic:
  How Well Students Perceive Their Understanding of Logic Programming Course Content? MIPRO 2023: 824-828
• 
  Zixin Huang, Saikat Dutta, Sasa Misailovic:
  ASTRA: Understanding the practical impact of robustness for probabilistic programs. UAI 2023: 900-910
• 
  Zhonghao Pan, Yang Feng, Zhiyuan Li, Yunxin Liu, Yuanchun Li:
  Understanding the Impact of Quantum Noise on Quantum Programs. SANER 2023: 426-437
• 
  Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Carmine Spagnuolo:
  The Age of Snippet Programming: Toward Understanding Developer Communities in Stack Overflow and Reddit. WWW (Companion Volume) 2023: 1218-1224
• 
  Abhiramon Rajasekharan, Yankai Zeng, Parth Padalkar, Gopal Gupta:
  Reliable Natural Language Understanding with Large Language Models and Answer Set Programming. CoRR abs/2302.03780 (2023)
• 
  Jenny T. Liang, Chenyang Yang, Brad A. Myers:
  Understanding the Usability of AI Programming Assistants. CoRR abs/2303.17125 (2023)
• 
  Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He, Hao Chen:
  Understanding Programs by Exploiting (Fuzzing) Test Cases. CoRR abs/2305.13592 (2023)
• 
  Yue Zhang, Yuqing Yang, Zhiqiang Lin:
  Don't Leak Your Keys: Understanding, Measuring, and Exploiting the AppSecret Leaks in Mini-Programs. CoRR abs/2306.08151 (2023)
• 
  Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan:
  Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. CoRR abs/2307.02503 (2023)
• 
  Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu:
  An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. CoRR abs/2307.08990 (2023)
• 
  Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust:
  A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. CoRR abs/2307.12856 (2023)
• 2022
• 
  Parinaz Farid:
  Understanding program managers leading value creation in change programs: Taking content, context, and competencies into account. Norwegian University of Science and Technology, Trondheim, Norway, 2022
• 
  Ethel Tshukudu:
  Understanding conceptual transfer in students learning a new programming language. University of Glasgow, UK, 2022
• 
  Yuhang Xu, Dongmei Hao, Michael J. Taggart, Dingchang Zheng:
  Regional identification of information flow termination of electrohysterographic signals: Towards understanding human uterine electrical propagation. Comput. Methods Programs Biomed. 223: 106967 (2022)

skipping 632 more matches