Andrew Rice

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Language Learning

Optimal Configuration

Top Venues

ICSE (Companion Volume)

Publications

Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian
Measuring GitHub Copilot's Impact on Productivity. Commun. ACM 67 (3) (2024)
Matthew Danish, Dominic Orchard, Andrew Rice
Incremental units-of-measure verification. CoRR (2024)
Albert Ziegler, Eirini Kalliamvakou, Shawn Simister, Ganesh Sittampalam, X. Alice Li, Andrew Rice, Devon Rifkin, Edward Aftandilian
Productivity Assessment of Neural Code Completion. CoRR (2022)
Albert Ziegler, Eirini Kalliamvakou, X. Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, Edward Aftandilian
Productivity assessment of neural code completion. MAPS@PLDI (2022)
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
Tuneful: An Online Significance-Aware Configuration Tuner for Big Data Analytics. CoRR (2020)
Ahmed H. Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice
Adaptive Forgetting Curves for Spaced Repetition Language Learning. CoRR (2020)
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
To Tune or Not to Tune?: In Search of Optimal Configurations for Data Analytics. KDD (2020)
Ahmed H. Zaidi, Andrew Caines, Russell Moore, Paula Buttery, Andrew Rice
Adaptive Forgetting Curves for Spaced Repetition Language Learning. AIED (2) (2020)
Dominic Orchard, Mistral Contrastin, Matthew Danish, Andrew Rice
Guiding user annotations for units-of-measure verification. CoRR (2020)
Nicholas Gerard Timmons, Andrew Rice
Approximating Activation Functions. CoRR (2020)
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice
Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization. IEEE BigData (2020)
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
Learning to Fix Build Errors with Graph2Diff Neural Networks. ICSE (Workshops) (2020)
Ali Mesbah, Andrew Rice, Emily Johnston, Nick Glorioso, Edward Aftandilian
DeepDelta: learning to repair compilation errors. ESEC/SIGSOFT FSE (2019)
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
Learning to Fix Build Errors with Graph2Diff Neural Networks. CoRR (2019)
Ahmed H. Zaidi, Andrew Caines, Christopher Davis, Russell Moore, Paula Buttery, Andrew Rice
Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency. EDM (2019)
Russell Moore, Andrew Caines, Mark Elliott, Ahmed H. Zaidi, Andrew Rice, Paula Buttery
Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks. EDM (2019)
Ayat Fekry, Lucian Carata, Thomas F. J.-M. Pasquier, Andrew Rice, Andy Hopper
Towards Seamless Configuration Tuning of Big Data Analytics. ICDCS (2019)
Nándor Licker, Andrew Rice
Detecting incorrect build rules. ICSE (2019)
Russell Moore, Andrew Caines, Andrew Rice, Paula Buttery
Behavioural Cloning of Teachers for Automatic Homework Selection. AIED (1) (2019)
Ali Mesbah, Andrew Rice, Edward Aftandilian, Emily Johnston, Nick Glorioso
Analyzing and repairing compilation errors. ICSE (Companion Volume) (2019)
Andrew Rice, Edward Aftandilian, Ciera Jaspan, Emily Johnston, Michael Pradel, Yulissa Arroyo-Paredes
Detecting argument selection defects. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Matthew Patrick, James Elderfield, Richard O. J. H. Stutt, Andrew Rice, Christopher A. Gilligan
Software testing in a scientific research group. SAC (2016)
Daniel Hintze, Andrew Rice
Picky: Efficient and Reproducible Sharing of Large Datasets Using Merkle-Trees. MASCOTS (2016)
Andrew Rice, Juan Vasquez
Context-aided tracking with an adaptive hyperspectral sensor. FUSION (2011)
Zhong Lu, Andrew Rice, Juan Vasquez, John P. Kerekes
Target discrimination via optimal wavelength band selection with synthetic hyperspectral imagery. WHISPERS (2010)
Andrew Rice, Juan Vasquez, Michael Mendenhall, John P. Kerekes
Feature-aided tracking via synthetic hyperspectral imagery. WHISPERS (2009)