Works Published in 2019

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Displaying works 1 - 20 of 222 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2019 article

Simpler hyperparameter optimization for software analytics: Why, how, when?

ArXiv.

By: A. Agrawal, X. Yang, R. Agrawal, R. Yedida, X. Shen & T. Menzies

Contributors: A. Agrawal, X. Yang, R. Agrawal, R. Yedida, X. Shen & T. Menzies

Source: ORCID
Added: February 1, 2024

2019 article

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence

ArXiv.

By: R. Yedida* & S. Saha

Contributors: R. Yedida* & S. Saha

Source: ORCID
Added: February 1, 2024

2019 article

Evolution of novel activation functions in neural network training with applications to classification of exoplanets

ArXiv.

By: S. Saha, N. Nagaraj, A. Mathur & R. Yedida

Contributors: S. Saha, N. Nagaraj, A. Mathur & R. Yedida

Source: ORCID
Added: February 1, 2024

2019 journal article

HONEYSCOPE: IoT device protection with deceptive network views

Autonomous Cyber Deception: Reasoning, Adaptive Planning, and Evaluation of HoneyThings, 167–181.

By: R. Mohamed, T. O’Connor, M. Miettinen, W. Enck & A. Sadeghi

Source: ORCID
Added: January 2, 2024

2019 conference paper

PolicyLint: Investigating Internal Privacy Policy Contradictions on Google Play.

USENIX Security Symposium, 585–602.

By: B. Andow, S. Mahmud, W. Wang, J. Whitaker, W. Enck, B. Reaves, K. Singh, T. Xie

Source: ORCID
Added: January 2, 2024

2019 conference paper

Replication: Do We Snooze If We Can’t Lose? Modelling Risk with Incentives in Habituation User Studies

Workshop on Usable Security (USEC) 2019.

By: K. Busse, S. Fahl, D. Wermke, E. Zezschwitz, S. Amft & M. Smith

Source: ORCID
Added: August 15, 2023

2019 article proceedings

Giving Students Canned Code using Typing Exercises

Presented at the SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education.

Event: SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education

TL;DR: While not the only source of practice, typing exercises (and other novel exercises) can serve as a viable tool for teaching Computer Science and boosting low-performing students' abilities. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: August 13, 2023

2019 journal article

What will you do next? A sequence analysis on the student transitions between online platforms in blended courses

ArXiv Preprint ArXiv:1905.00928.

By: N. Gitinabard, S. Heckman, T. Barnes & C. Lynch

Source: ORCID
Added: July 18, 2023

2019 conference paper

Wait, Wait. No, Tell Me. Analyzing Selenium Configuration Effects on Test Flakiness

2019 IEEE/ACM 14th International Workshop on Automation of Software Test (AST), 7–13.

By: K. Presler-Marshall, E. Horton, S. Heckman & K. Stolee

Event: IEEE

Source: ORCID
Added: July 18, 2023

2019 journal article

SIGCSE technical symposium 2020 call for submissions

ACM SIGCSE Bulletin, 51(3), 2–3.

By: J. Zhang, M. Sherriff, S. Heckman, P. Cutter & A. Monge

Source: ORCID
Added: July 18, 2023

2019 journal article

SIGCSE technical symposium 2019 report

ACM SIGCSE Bulletin, 51(2), 2–4.

By: E. Hawthorne, M. Pérez-Quiñones, S. Heckman & J. Zhang

Source: ORCID
Added: July 18, 2023

2019 journal article

Building and expanding a successful undergraduate research program

Journal of Computing Sciences in Colleges, 35(4), 18–19.

By: S. Heckman, B. Fain & M. Pérez-Quiñones

Source: ORCID
Added: July 18, 2023

2019 journal article

Editorial

IEEE Networking Letters, 1(1), 1–1.

By: G. Rouskas n & C. Verikoukis

Source: ORCID
Added: June 21, 2023

2019 journal article

<inline-formula> <tex-math notation="LaTeX">$\mathcal{DBSDA}$ </tex-math> </inline-formula>: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing

$\mathcal{DBSDA}$ . IEEE Transactions on Neural Networks and Learning Systems, 30(3), 707–717.

By: H. Xiong*, W. Cheng, J. Bian*, W. Hu*, Z. Sun* & Z. Guo*

TL;DR: A novel classifier is proposed, which possesses a reduced upper bound of misclassification rate and better asymptotic properties than sparse LDA (SDA) and is demonstrated the superiority of <inline-formula> <tex-math notation="LaTeX">$\mathcal {DBSDA}$ </tex-Math></inline- formula> over LDA, SDA, and other downstream competitors under HDLSS settings. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 article proceedings

Work-in-Progress: A Deep Learning Strategy for I/O Scheduling in Storage Systems

Presented at the 2019 IEEE Real-Time Systems Symposium (RTSS).

Event: 2019 IEEE Real-Time Systems Symposium (RTSS)

TL;DR: A deep recurrent neural network is proposed that learns the patterns of I/O requests and predicts the upcoming ones, such that memory contents can be pre-loaded at the right time to prevent cache/memory misses. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 journal article

SpHMC: Spectral Hamiltonian Monte Carlo

Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5516–5524.

TL;DR: This piece of work proposed a novel SGHMC sampler, namely Spectral Hamiltonian Monte Carlo (SpHMC), that produces the high dimensional sparse representations of given datasets through sparse sensing and S GHMC. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 article proceedings

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms

Presented at the 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).

By: Z. Guo*, A. Bhuiyan*, D. Liu*, A. Khan, A. Saifullah* & N. Guan*

Event: 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)

TL;DR: This work study energy-efficient real-time scheduling of constrained deadline sporadic parallel tasks, where each task is represented as a directed acyclic graph (DAG) and considers a clustered multi-core platform where processors within the same cluster run at the same speed at any given time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 article proceedings

Model-Free Temporal Difference Learning for Non-Zero-Sum Games

Presented at the 2019 International Joint Conference on Neural Networks (IJCNN).

Event: 2019 International Joint Conference on Neural Networks (IJCNN)

TL;DR: A novel online iterative algorithm, named integral temporal difference learning algorithm, which can be implemented in an online fashion and requires only partial knowledge of the system dynamics and the effectiveness of the presented algorithm is shown. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 article proceedings

EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness

Presented at the 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA).

By: K. Yang & Z. Guo*

Event: 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

TL;DR: A virtual deadline based scheduler (EDF-VDS) is proposed with utilization-based MCQOS-schedulability test and and closed-form lateness bounds and is defined that massages the required bounded lateness into the definition of conventional MC-scaledulability. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

2019 article proceedings

Precise scheduling of mixed-criticality tasks by varying processor speed

Presented at the RTNS 2019: 27th International Conference on Real-Time Networks and Systems.

By: A. Bhuiyan*, S. Sruti*, Z. Guo* & K. Yang

Event: RTNS 2019: 27th International Conference on Real-Time Networks and Systems

TL;DR: This is the first work to address the integration of DVFS energy-conserving techniques with precise scheduling of all tasks of the IMC model and a quantitative study in the forms of speedup bound and approximation ratio are derived for the unified model. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: Crossref, NC State University Libraries
Added: April 1, 2023

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