Instruction Scheduling in the Presence of Java's Runtime Exceptions. - Matthew Arnold; Michael S. Hsiao; Ulrich Kremer; Barbara G. Ryder (LCPC, 1999)

A comparative study of static and profile-based heuristics for inlining. - Matthew Arnold; Stephen J. Fink; Vivek Sarkar; Peter F. Sweeney (Dynamo, 2000)

An Empirical Study of Selective Optimization. - Matthew Arnold; Michael Hind; Barbara G. Ryder (LCPC, 2000)

Adaptive optimization in the Jalapeño JVM. - Matthew Arnold; Stephen J. Fink; David Grove; Michael Hind; Peter F. Sweeney (OOPSLA, 2000)

Adaptive optimization in the Jalapeño JVM (poster session). - Matthew Arnold; Stephen Fink; David Grove; Michael Hind; Peter F. Sweeney (OOPSLA Addendum, 2000)

The Business of Sustainable Forestry: Meshing Operations with Strategic Purpose. - Stuart Hart; Matthew Arnold; Rob Day (Interfaces, 2000)

A Framework for Reducing the Cost of Instrumented Code. - Matthew Arnold; Barbara G. Ryder (PLDI, 2001)

Exploring the Interaction between Java?s Implicitly Thrown Exceptions and Instruction Scheduling. - Matthew Arnold; Michael S. Hsiao; Ulrich Kremer; Barbara G. Ryder (Int. J. Parallel Program., 2001)

Thin Guards: A Simple and Effective Technique for Reducing the Penalty of Dynamic Class Loading. - Matthew Arnold; Barbara G. Ryder (ECOOP, 2002)

Online feedback-directed optimization of Java. - Matthew Arnold; Michael Hind; Barbara G. Ryder (OOPSLA, 2002)

Collecting and Exploiting High-Accuracy Call Graph Profiles in Virtual Machines. - Matthew Arnold; David Grove (CGO, 2005)

Improving virtual machine performance using a cross-run profile repository. - Matthew Arnold; Adam Welc; V. T. Rajan (OOPSLA, 2005)

Web Services Navigator: Visualizing the execution of Web Services. - Wim De Pauw; Michelle Lei; Edward Pring; Lionel Villard; Matthew Arnold; John F. Morar (IBM Syst. J., 2005)

A Survey of Adaptive Optimization in Virtual Machines. - Matthew Arnold; Stephen J. Fink; David Grove; Michael Hind; Peter F. Sweeney (Proc. IEEE, 2005)

Adapting virtual machine techniques for seamless aspect support. - Christoph Bockisch; Matthew Arnold; Tom Dinkelaker; Mira Mezini (OOPSLA, 2006)

Efficient control flow quantification. - Christoph Bockisch; Sebastian Kanthak; Michael Haupt; Matthew Arnold; Mira Mezini (OOPSLA, 2006)

Online performance auditing: using hot optimizations without getting burned. - Jeremy Lau; Matthew Arnold; Michael Hind; Brad Calder (PLDI, 2006)

A Loop Correlation Technique to Improve Performance Auditing. - Jeremy Lau; Matthew Arnold; Michael Hind; Brad Calder (PACT, 2007)

Using hpm-sampling to drive dynamic compilation. - Dries Buytaert; Andy Georges; Michael Hind; Matthew Arnold; Lieven Eeckhout; Koen De Bosschere (OOPSLA, 2007)

Dynamic compilation: the benefits of early investing. - Prasad A. Kulkarni; Matthew Arnold; Michael Hind (VEE, 2007)

Jolt: lightweight dynamic analysis and removal of object churn. - Ajeet Shankar; Matthew Arnold; Rastislav Bodík (OOPSLA, 2008)

A concurrent dynamic analysis framework for multicore hardware. - Jungwoo Ha; Matthew Arnold; Stephen M. Blackburn; Kathryn S. McKinley (OOPSLA, 2009)

Go with the flow: profiling copies to find runtime bloat. - Guoqing Xu 001; Matthew Arnold; Nick Mitchell; Atanas Rountev; Gary Sevitsky (PLDI, 2009)

Performance analysis of idle programs. - Erik R. Altman; Matthew Arnold; Stephen Fink; Nick Mitchell (OOPSLA, 2010)

Finding low-utility data structures. - Guoqing Xu 001; Nick Mitchell; Matthew Arnold; Atanas Rountev; Edith Schonberg; Gary Sevitsky (PLDI, 2010)

Software bloat analysis: finding, removing, and preventing performance problems in modern large-scale object-oriented applications. - Guoqing Xu 001; Nick Mitchell; Matthew Arnold; Atanas Rountev; Gary Sevitsky (FoSER, 2010)

Observations on tuning a Java enterprise application for performance and scalability. - Erik R. Altman; Matthew Arnold; Rajesh Bordawekar; Robert M. Delmonico; Nick Mitchell; Peter F. Sweeney (IBM J. Res. Dev., 2010)

Lost in the Middle Kingdom: a second language acquisition video game. - Jeremiah J. Shepherd; Renaldo J. Doe; Matthew Arnold; Nancy Cheek; Yun Zhu; Jijun Tang (ACM Southeast Regional Conference, 2011)

A different approach to teaching Chinese through serious games. - Jeremiah J. Shepherd; Renaldo J. Doe; Matthew Arnold; Yun Zhu; Jijun Tang (FDG, 2011)

QVM: An Efficient Runtime for Detecting Defects in Deployed Systems. - Matthew Arnold; Martin T. Vechev; Eran Yahav (ACM Trans. Softw. Eng. Methodol., 2011)

Scalable Runtime Bloat Detection Using Abstract Dynamic Slicing. - Guoqing Xu 001; Nick Mitchell; Matthew Arnold; Atanas Rountev; Edith Schonberg; Gary Sevitsky (ACM Trans. Softw. Eng. Methodol., 2014)

CanaryAdvisor: a statistical-based tool for canary testing (demo). - Alexander Tarvo; Peter F. Sweeney; Nick Mitchell; V. T. Rajan; Matthew Arnold; Ioana Baldini (ISSTA, 2015)

META: Middleware for Events, Transactions, and Analytics. - 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; et al. (IBM J. Res. Dev., 2016)

FactSheets: Increasing trust in AI services through supplier's declarations of conformity. - 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; et al. (IBM J. Res. Dev., 2019)

Label Noise in Context. - Michael Desmond; Catherine Finegan-Dollak; Jeffrey Boston; Matthew Arnold (ACL (demo), 2020)

Towards Automating the AI Operations Lifecycle. - Matthew Arnold; Jeffrey Boston; Michael Desmond; Evelyn Duesterwald; Benjamin Elder; Anupama Murthi; Jirí Navrátil 001; Darrell Reimer (CoRR, 2020)

Uncertainty Prediction for Deep Sequential Regression Using Meta Models. - Jirí Navrátil 001; Matthew Arnold; Benjamin Elder (CoRR, 2020)

Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing. - Begum Taskazan; Jirí Navrátil 001; Matthew Arnold; Anupama Murthi; Ganesh Venkataraman; Benjamin Elder (CoRR, 2020)

Learning Prediction Intervals for Model Performance. - Benjamin Elder; Matthew Arnold; Anupama Murthi; Jirí Navrátil 001 (AAAI, 2021)

Sensor Fusion for Force and Position Calibration of a Motorized Surgical Smart Grasper. - Jack Kaplan; Yana Sosnovskaya; Matthew Arnold; Blake Hannaford (ISMR, 2021)

Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals. - Jirí Navrátil 001; Benjamin Elder; Matthew Arnold; Soumya Ghosh; Prasanna Sattigeri (CoRR, 2021)

Game Physics Engine Using Optimised Geometric Algebra RISC-V Vector Extensions Code Using Fourier Series Data. - Ed Saribatir; Niko Zurstraßen; Dietmar Hildenbrand; Florian Stock; Atilio Morillo Piña; Frederic von Wegner; Zheng Yan 001; Shiping Wen 001; Matthew Arnold (CGI (4), 2023)

Assessment of Prediction Intervals Using Uncertainty Characteristics Curves. - Jirí Navrátil 001; Benjamin Elder; Matthew Arnold; Soumya Ghosh; Prasanna Sattigeri (CoRR, 2023)

The impact of generative AI on higher education learning and teaching: A study of educators' perspectives. - Daniel Lee; Matthew Arnold; Amit Srivastava; Katrina Plastow; Peter Strelan; Florian Ploeckl; Dimitra Lekkas; Edward Palmer (Comput. Educ. Artif. Intell., 2024)