Matthew Arnold - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 39 from 39

2022

Self-organized nanoscale networks: are neuromorphic properties conserved in realistic device geometries?Zachary Heywood, Joshua B. Mallinson, Edoardo Galli, Susant Acharya, Saurabh K. Bose, Matthew Arnold, Philip Bones, Simon A. Brown. neuromorphic, 2(2):24009, 2022. [doi]

2021

Learning Prediction Intervals for Model PerformanceBenjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil 0001. AAAI 2021: 7305-7313 [doi]

Sensor Fusion for Force and Position Calibration of a Motorized Surgical Smart GrasperJack Kaplan, Yana Sosnovskaya, Matthew Arnold, Blake Hannaford. ismr 2021: 1-7 [doi]

2020

Label Noise in ContextMichael Desmond, Catherine Finegan-Dollak, Jeffrey Boston, Matthew Arnold. acl 2020: 157-186 [doi]

2019

FactSheets: Increasing trust in AI services through supplier's declarations of conformityMatthew 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. ibmrd, 63(4/5), 2019. [doi]

2016

META: Middleware for Events, Transactions, and AnalyticsMatthew Arnold, David Grove, Benjamin Herta, Michael Hind, Martin Hirzel, Arun Iyengar, L. Mandel, Vijay A. Saraswat, Avraham Shinnar, Jérôme Siméon, Mikio Takeuchi, Olivier Tardieu, Wei Zhang. ibmrd, 60(2-3), 2016. [doi]

2015

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: 418-422 [doi]

2014

Scalable Runtime Bloat Detection Using Abstract Dynamic SlicingGuoqing (Harry) Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, Gary Sevitsky. TOSEM, 23(3):23, 2014. [doi]

2011

2010

2009

A concurrent dynamic analysis framework for multicore hardwareJungwoo Ha, Matthew Arnold, Stephen M. Blackburn, Kathryn S. McKinley. OOPSLA 2009: 155-174 [doi]

Go with the flow: profiling copies to find runtime bloatGuoqing Xu, Matthew Arnold, Nick Mitchell, Atanas Rountev, Gary Sevitsky. PLDI 2009: 419-430 [doi]

2008

QVM: an efficient runtime for detecting defects in deployed systemsMatthew Arnold, Martin T. Vechev, Eran Yahav. OOPSLA 2008: 143-162 [doi]

Jolt: lightweight dynamic analysis and removal of object churnAjeet Shankar, Matthew Arnold, Rastislav Bodík. OOPSLA 2008: 127-142 [doi]

2007

2006

2005

2002

Thin Guards: A Simple and Effective Technique for Reducing the Penalty of Dynamic Class LoadingMatthew Arnold, Barbara G. Ryder. ECOOP 2002: 498-524 [doi]

Online feedback-directed optimization of JavaMatthew Arnold, Michael Hind, Barbara G. Ryder. OOPSLA 2002: 111-129 [doi]

2001

A Framework for Reducing the Cost of Instrumented CodeMatthew Arnold, Barbara G. Ryder. PLDI 2001: 168-179

Exploring the Interaction between Java?s Implicitly Thrown Exceptions and Instruction SchedulingMatthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder. ijpp, 29(2):111-137, 2001.

2000

1999

Instruction Scheduling in the Presence of Java s Runtime ExceptionsMatthew Arnold, Michael S. Hsiao, Ulrich Kremer, Barbara G. Ryder. lcpc 2000: 18-34 [doi]

Sign in or sign up to see more results.

runs on WebDSL