Works Published in 2014

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Displaying works 41 - 60 of 221 in total

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

2014 conference paper

Mid-scale shot classification for detecting narrative transitions in movie clips

AAAI Workshop - Technical Report, WS-14-06, 64–71. http://www.scopus.com/inward/record.url?eid=2-s2.0-84974777472&partnerID=MN8TOARS

By: B. Zhang & A. Jhala

Contributors: B. Zhang & A. Jhala

Source: ORCID
Added: July 14, 2022

2014 conference paper

Domain-specific sentiment classification for games-related tweets

AAAI Workshop - Technical Report, WS-14-17, 32–34. http://www.scopus.com/inward/record.url?eid=2-s2.0-84974816757&partnerID=MN8TOARS

By: T. Sarratt, S. Morgens & A. Jhala

Contributors: T. Sarratt, S. Morgens & A. Jhala

Source: ORCID
Added: July 14, 2022

2014 conference paper

CAD Apps: Computer aided design applications for the MAE curriculum

Workshop presented at the Annual MathWorks Curriculum Conference.

By: L. Battestilli, L. Silverberg & J. Eischen

Event: Annual MathWorks Curriculum Conference

Source: NC State University Libraries
Added: May 27, 2022

2014 conference paper

SHE++ Documentary Screening and Discussion

Panel presented at the NCSU Women In Computer Science, (WiCS) program, NC State University, Raleigh, NC.

Event: NCSU Women In Computer Science, (WiCS) program at NC State University, Raleigh, NC

Source: NC State University Libraries
Added: May 27, 2022

2014 conference paper

InVis: An EDM Tool for Graphical Rendering and Analysis of Student Interaction Data

In S. Gutierrez-Santos & O. C. Santos (Eds.), EDM 2014 Extended Proceedings: Workshop Proceedings of the 7th International Conference on Educational Data Mining. London, United Kingdom: CEUR-WS.

By: V. Sheshadri, C. Lynch & T. Barnes

Ed(s): S. Gutierrez-Santos & O. Santos

Event: EDM 2014 at London, UK

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Evaluation of Logic Proof Problem Difficulty Through Student Performance Data

In S. Gutierrez-Santos & O. C (Eds.), EDM 2014 Extended Proceedings: Workshop Proceedings of the 7th International Conference on Educational Data Mining. London, United Kingdom: CEUR-WS.

By: B. Mostafavi & T. Barnes

Ed(s): S. Gutierrez-Santos & O. C

Event: EDM 2014 at London, UK

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Extracting temporal features using BCIpy

Proceedings of the Workshop on Utilizing EEG Input in Intelligent Tutoring Systems. Presented at the Intelligent Tutoring Systems (ITS2014), Honolulu, Hawaii.

By: J. Peters, S. Jauhari & T. Barnes

Event: Intelligent Tutoring Systems (ITS2014) at Honolulu, Hawaii on June 5, 2014

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Balancing physical and cognitive challenge: A study of players psychological responses to exergame play

Nickel, A., Barnes, T., Payton, J., & Wikstrom, E. (2014, April 3). Presented at the Foundations of Digital Games, Fort Lauderdale, FL.

By: A. Nickel, T. Barnes, J. Payton & E. Wikstrom

Event: Foundations of Digital Games at Fort Lauderdale, FL on April 3-7, 2014

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Exploring differences in problem solving with data-driven approach maps

Educational Data Mining, 76–83.

By: M. Eagle & T. Barnes

Event: EDM2014 at London, UK

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Generating hints for programming problems using intermediate output

Educational Data Mining, 92–98.

By: B. Peddycord, A. Hicks & T. Barnes

Event: EDM2014 at London, UK

Source: NC State University Libraries
Added: December 25, 2021

2014 conference paper

Exploration of student's use of rule application references in a propositional logic tutor

Educational Data Mining, 249–252.

By: M. Eagle, V. Polamreddi, B. Mostafavi & T. Barnes

Event: EDM2014 at London, UK

Source: NC State University Libraries
Added: December 25, 2021

2014 journal article

Reflections from a computational service learning trip to Haiti

The Journal of Computing Sciences in Colleges, 29(3), 43–50.

By: R. Burns, W. Eugene, T. Barnes*, S. Chandler, M. Harwell & O. Omokaro

Source: NC State University Libraries
Added: December 25, 2021

2014 journal article

Feature selection based on meta-heuristics for biomedicine

Optimization Methods and Software, 29(4), 703–719.

By: L. Wang*, H. Ni*, R. Yang*, V. Pappu*, M. Fenn* & P. Pardalos*

Contributors: L. Wang*, H. Ni*, R. Yang*, V. Pappu*, M. Fenn* & P. Pardalos*

author keywords: meta-heuristic; feature selection; biomedicine
TL;DR: Six meta-heuristics, that is, a genetic algorithm, particle swarm optimization, ant colony optimization, harmony search, differential evolution, and quantum-inspired evolutionary algorithm, are introduced into feature selection and the performance of the algorithms is analysed and compared with each other for solving feature selection in biomedicine effectively. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2014 book

A simple human learning optimization algorithm

In Communications in Computer and Information Science (Vol. 462, pp. 56–65).

By: L. Wang*, H. Ni*, R. Yang*, M. Fei* & W. Ye

Contributors: L. Wang*, H. Ni*, R. Yang*, M. Fei* & W. Ye

TL;DR: Considering the ease of implementation and the excellence of global search ability, SHLO is a promising optimization tool. (via Semantic Scholar)
Source: ORCID
Added: December 6, 2021

2014 journal article

Comments on: Queueing models for the analysis of communication systems

TOP, 22(2), 458–459.

By: H. Perros

Source: Crossref
Added: August 16, 2021

2014 chapter

Enabling a Package Query Paradigm on the Semantic Web: Model and Algorithms

In A. Hameurlain, J. Küng, & R. Wagner (Eds.), Transactions on Large-Scale Data- and Knowledge-Centered Systems XIII (pp. 1–32).

By: M. Sessoms n & K. Anyanwu n

Ed(s): A. Hameurlain, J. Küng & R. Wagner

TL;DR: The traditional search model of finding links on the Internet is unsatisfactory for the increasingly complex tasks that seek to leverage the diverse, increasingly structured and semantically annotated data on the Web. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: April 29, 2021

2014 conference paper

Log Your CRUD: Design Principles for Software Logging Mechanisms

Proceedings of the 2014 Symposium and Bootcamp on the Science of Security, 5:1–5:10.

Event: at New York, NY, USA

TL;DR: It is found that viewing protected data is often not logged by default, allowing unauthorized views of data to go undetected, and a set of principles are proposed that developers should consider when developing logging mechanisms to ensure the ability to capture adequate traces of user activity. (via Semantic Scholar)
Source: ORCID
Added: March 17, 2021

2014 conference paper

Using Templates to Elicit Implied Security Requirements from Functional Requirements - a Controlled Experiment

Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 22:1–22:10.

By: M. Riaz n, J. Slankas n, J. King n & L. Williams n

Event: at New York, NY, USA

TL;DR: It is found that participants need more incentive than just a participatory grade when completing the task, and to ensure task completeness, participants either need a step-driven approach or progress indicators to identify remaining work. (via Semantic Scholar)
Source: ORCID
Added: March 17, 2021

2014 journal article

Plans and Planning in Narrative Generation: A Review of Plan-Based Approaches to the Generation of Story, Discourse and Interactivity in Narratives

Sprache Und Datenverarbeitung, 17(1-2), 41–64.

By: R. Young, S. Ware, B. Cassell & J. Robertson

Source: NC State University Libraries
Added: February 12, 2021

2014 book

GIS-based Analysis of Coastal Lidar Time-Series

By: E. Hardin n, H. Mitasova n, L. Tateosian n & M. Overton n

TL;DR: This data indicates that feature extraction and feature change metrics in the coastal lidar time series are driven by volume, not feature change, which is important for understanding coastal change. (via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: February 9, 2021

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