Matt Brown

According to our database, Matt Brown authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dual-Cockpit Human and Hardware-in-the-Loop Test Bench for Autonomous Vehicle Development.

Divya Garikapati, Yiting Liu, Matt Brown, Tristan Littlehale, Hirofumi Yamamoto, Chen Bao

IEEE Trans. Intell. Veh., December, 2024

2023

Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns.

Xinyi Liu, Jinning Li, Dachun Sun, Ruijie Wang, Tarek F. Abdelzaher, Matt Brown, Anthony Barricelli, Matthias Kirchner, Arslan Basharat

CoRR, 2023

Lessons from the evolution of the Batfish configuration analysis tool.

Matt Brown, Ari Fogel, Daniel Halperin, Victor Heorhiadi, Ratul Mahajan, Todd D. Millstein

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

2021

Campion: debugging router configuration differences.

Alan Tang, Siva Kesava Reddy Kakarla, Ryan Beckett, Ennan Zhai, Matt Brown, Todd D. Millstein, Yuval Tamir, George Varghese

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

2020

Exploration of factors contributing to academic success in a data analytics program.

Matt Brown

J. Comput. Sci. Coll., 2020

2019

Digital distraction outside the classroom: an empirical study.

Rajvardhan Patil, Matt Brown, Mohamed Ibrahim, Jeanine Myers, Kristi Brown, Muhammad Safeer Khan, Rebecca Callaway

J. Comput. Sci. Coll., 2019

Computer Assisted Composition in Continuous Time.

Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T. Dean, Alexander Hunter, Charles Gretton, Christian Walder

CoRR, 2019

Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance.

Matt Brown, Keith Fieldhouse, Eran Swears, Paul Tunison, Adam Romlein, Anthony Hoogs

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Jones-optimal partial evaluation by specialization-safe normalization.

Matt Brown, Jens Palsberg

Proc. ACM Program. Lang., 2018

Faculty workloads in computing departments.

Matt Brown

J. Comput. Sci. Coll., 2018

2017

Involving students in a human-computer interaction experiment.

Matt Brown

J. Comput. Sci. Coll., 2017

Typed self-evaluation via intensional type functions.

Matt Brown, Jens Palsberg

Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages, 2017

2016

An empirical investigation of student arrivals, departures, and persistence in computing majors.

Matt Brown

J. Comput. Sci. Coll., 2016

Breaking through the normalization barrier: a self-interpreter for f-omega.

Matt Brown, Jens Palsberg

Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016

2015

Comparing classification techniques by predicting the gender of chickens: nifty assignment.

Matt Brown

J. Comput. Sci. Coll., 2015

Self-Representation in Girard's System U.

Matt Brown, Jens Palsberg

Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2015

2013

CS0 as an indicator of student risk for failure to complete a degree in computing.

Matt Brown

J. Comput. Sci. Coll., 2013

2012

A comparison of instructional data sources in computing: the case for more and better simulated data in the classroom.

Matt Brown

J. Comput. Sci. Coll., 2012

2011

Snowfall to introduce system simulations: nifty assignment.

Matt Brown

J. Comput. Sci. Coll., 2011

2010

CS0: why, what, and how?: panel discussion.

Matt Brown, Chenyi Hu, Carl Burch, Michael Nooner

J. Comput. Sci. Coll., 2010

Using data mining to introduce databases: nifty assignment.

Matt Brown

J. Comput. Sci. Coll., 2010