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Matthew Arnold
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2020 – today
- 2024
- [j10]Daniel Lee, Matthew Arnold, Amit Srivastava, Katrina Plastow, Peter Strelan, Florian Ploeckl, Dimitra Lekkas, Edward Palmer:
The impact of generative AI on higher education learning and teaching: A study of educators' perspectives. Comput. Educ. Artif. Intell. 6: 100221 (2024) - 2023
- [c30]Ed Saribatir, Niko Zurstraßen, Dietmar Hildenbrand, Florian Stock, Atilio Morillo Piña, Frederic von Wegner, Zheng Yan, Shiping Wen, Matthew Arnold:
Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data. CGI (4) 2023: 250-261 - [i6]Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri:
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves. CoRR abs/2310.03158 (2023) - 2021
- [c29]Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
Learning Prediction Intervals for Model Performance. AAAI 2021: 7305-7313 - [c28]Jack Kaplan, Yana Sosnovskaya, Matthew Arnold, Blake Hannaford:
Sensor Fusion for Force and Position Calibration of a Motorized Surgical Smart Grasper. ISMR 2021: 1-7 - [i5]Jirí Navrátil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri:
Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. CoRR abs/2106.00858 (2021) - 2020
- [c27]Michael Desmond, Catherine Finegan-Dollak, Jeffrey Boston, Matthew Arnold:
Label Noise in Context. ACL (demo) 2020: 157-186 - [i4]Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jirí Navrátil, Darrell Reimer:
Towards Automating the AI Operations Lifecycle. CoRR abs/2003.12808 (2020) - [i3]Jirí Navrátil, Matthew Arnold, Benjamin Elder:
Uncertainty Prediction for Deep Sequential Regression Using Meta Models. CoRR abs/2007.01350 (2020) - [i2]Begum Taskazan, Jirí Navrátil, Matthew Arnold, Anupama Murthi, Ganesh Venkataraman, Benjamin Elder:
Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. CoRR abs/2007.05499 (2020) - [i1]Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
Learning Prediction Intervals for Model Performance. CoRR abs/2012.08625 (2020)
2010 – 2019
- 2019
- [j9]Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney:
FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 63(4/5): 6:1-6:13 (2019) - 2016
- [j8]Matthew Arnold, David Grove, Benjamin Herta, Michael Hind, Martin Hirzel, Arun Iyengar, Louis Mandel, Vijay A. Saraswat, Avraham Shinnar, Jérôme Siméon, Mikio Takeuchi, Olivier Tardieu, Wei Zhang:
META: Middleware for Events, Transactions, and Analytics. IBM J. Res. Dev. 60(2-3) (2016) - 2015
- [c26]Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini:
CanaryAdvisor: a statistical-based tool for canary testing (demo). ISSTA 2015: 418-422 - 2014
- [j7]Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, Gary Sevitsky:
Scalable Runtime Bloat Detection Using Abstract Dynamic Slicing. ACM Trans. Softw. Eng. Methodol. 23(3): 23:1-23:50 (2014) - 2011
- [j6]Matthew Arnold, Martin T. Vechev, Eran Yahav:
QVM: An Efficient Runtime for Detecting Defects in Deployed Systems. ACM Trans. Softw. Eng. Methodol. 21(1): 2:1-2:35 (2011) - [c25]Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Nancy Cheek, Yun Zhu, Jijun Tang:
Lost in the Middle Kingdom: a second language acquisition video game. ACM Southeast Regional Conference 2011: 290-294 - [c24]Jeremiah J. Shepherd, Renaldo J. Doe, Matthew Arnold, Yun Zhu, Jijun Tang:
A different approach to teaching Chinese through serious games. FDG 2011: 304-306 - 2010
- [j5]Erik R. Altman, Matthew Arnold, Rajesh Bordawekar, Robert M. Delmonico, Nick Mitchell, Peter F. Sweeney:
Observations on tuning a Java enterprise application for performance and scalability. IBM J. Res. Dev. 54(5): 2 (2010) - [c23]Erik R. Altman, Matthew Arnold, Stephen Fink, Nick Mitchell:
Performance analysis of idle programs. OOPSLA 2010: 739-753 - [c22]Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, Gary Sevitsky:
Finding low-utility data structures. PLDI 2010: 174-186 - [c21]Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Gary Sevitsky:
Software bloat analysis: finding, removing, and preventing performance problems in modern large-scale object-oriented applications. FoSER 2010: 421-426
2000 – 2009
- 2009
- [c20]Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, Kathryn S. McKinley:
A concurrent dynamic analysis framework for multicore hardware. OOPSLA 2009: 155-174 - [c19]Guoqing Xu, Matthew Arnold, Nick Mitchell, Atanas Rountev, Gary Sevitsky:
Go with the flow: profiling copies to find runtime bloat. PLDI 2009: 419-430 - 2008
- [c18]Ajeet Shankar, Matthew Arnold, Rastislav Bodík:
Jolt: lightweight dynamic analysis and removal of object churn. OOPSLA 2008: 127-142 - [c17]Matthew Arnold, Martin T. Vechev, Eran Yahav:
QVM: an efficient runtime for detecting defects in deployed systems. OOPSLA 2008: 143-162 - 2007
- [c16]Jeremy Lau, Matthew Arnold, Michael Hind, Brad Calder:
A Loop Correlation Technique to Improve Performance Auditing. PACT 2007: 259-269 - [c15]Dries Buytaert, Andy Georges, Michael Hind, Matthew Arnold, Lieven Eeckhout, Koen De Bosschere:
Using hpm-sampling to drive dynamic compilation. OOPSLA 2007: 553-568 - [c14]Prasad A. Kulkarni, Matthew Arnold, Michael Hind:
Dynamic compilation: the benefits of early investing. VEE 2007: 94-104 - 2006
- [c13]Christoph Bockisch, Matthew Arnold, Tom Dinkelaker, Mira Mezini:
Adapting virtual machine techniques for seamless aspect support. OOPSLA 2006: 109-124 - [c12]Christoph Bockisch, Sebastian Kanthak, Michael Haupt, Matthew Arnold, Mira Mezini:
Efficient control flow quantification. OOPSLA 2006: 125-138 - [c11]Jeremy Lau, Matthew Arnold, Michael Hind, Brad Calder:
Online performance auditing: using hot optimizations without getting burned. PLDI 2006: 239-251 - 2005
- [j4]Wim De Pauw, Michelle Lei, Edward Pring, Lionel Villard, Matthew Arnold, John F. Morar:
Web Services Navigator: Visualizing the execution of Web Services. IBM Syst. J. 44(4): 821-846 (2005) - [j3]Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney:
A Survey of Adaptive Optimization in Virtual Machines. Proc. IEEE 93(2): 449-466 (2005) - [c10]Matthew Arnold, David Grove:
Collecting and Exploiting High-Accuracy Call Graph Profiles in Virtual Machines. CGO 2005: 51-62 - [c9]Matthew Arnold, Adam Welc, V. T. Rajan:
Improving virtual machine performance using a cross-run profile repository. OOPSLA 2005: 297-311 - 2002
- [c8]Matthew Arnold, Barbara G. Ryder:
Thin Guards: A Simple and Effective Technique for Reducing the Penalty of Dynamic Class Loading. ECOOP 2002: 498-524 - [c7]Matthew Arnold, Michael Hind, Barbara G. Ryder:
Online feedback-directed optimization of Java. OOPSLA 2002: 111-129 - 2001
- [j2]Matthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder:
Exploring the Interaction between Java?s Implicitly Thrown Exceptions and Instruction Scheduling. Int. J. Parallel Program. 29(2): 111-137 (2001) - [c6]Matthew Arnold, Barbara G. Ryder:
A Framework for Reducing the Cost of Instrumented Code. PLDI 2001: 168-179 - 2000
- [j1]Stuart Hart, Matthew Arnold, Rob Day:
The Business of Sustainable Forestry: Meshing Operations with Strategic Purpose. Interfaces 30(3): 234-250 (2000) - [c5]Matthew Arnold, Stephen J. Fink, Vivek Sarkar, Peter F. Sweeney:
A comparative study of static and profile-based heuristics for inlining. Dynamo 2000: 52-64 - [c4]Matthew Arnold, Michael Hind, Barbara G. Ryder:
An Empirical Study of Selective Optimization. LCPC 2000: 49-67 - [c3]Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney:
Adaptive optimization in the Jalapeño JVM. OOPSLA 2000: 47-65 - [c2]Matthew Arnold, Stephen Fink, David Grove, Michael Hind, Peter F. Sweeney:
Adaptive optimization in the Jalapeño JVM (poster session). OOPSLA Addendum 2000: 125-126
1990 – 1999
- 1999
- [c1]Matthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder:
Instruction Scheduling in the Presence of Java's Runtime Exceptions. LCPC 1999: 18-34
Coauthor Index
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last updated on 2024-08-08 20:12 CEST by the dblp team
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