Works Published in 2017
Displaying works 141 - 160 of 258 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2017 conference paper
LSTM for septic shock: Adding unreliable labels to reliable predictions
2017 IEEE International Conference on Big Data (Big Data), 1233–1242.
TL;DR:
A generic framework to predict septic shock based on Long-Short Term Memory (LSTM) model, which is capable of memorizing temporal dependencies over a long period, is proposed and the robustness of the method is validated using three sets of clinician-proposed adjusted ground-truth labels.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2017 article
Inducing Stealth Assessors from Game Interaction Data
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 212–223.
Contributors: W. Min n , M. Frankosky n, B. Mott n, E. Wiebe n , K. Boyer * & J. Lester n
author keywords: Game-based learning environments; Stealth assessment; Deep learning; Computational thinking; Educational games
TL;DR:
A long short-term memory network (LSTM)-based stealth assessment framework that takes as input an observed sequence of raw game-based learning environment interaction data along with external pre-learning measures to infer students’ post-competencies and indicates that the LSTM-based approach holds significant promise for evidence modeling in stealth assessment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 article
Hint Generation Under Uncertainty: The Effect of Hint Quality on Help-Seeking Behavior
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 311–322.
author keywords: Intelligent Tutoring Systems; Hints; Help-seeking; Programming
TL;DR:
It is argued that hint quality, especially when using data-driven hint generation techniques, is inherently uncertain, and the quality of the first few hints on an assignment is positively associated with future hint use on the same assignment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 conference paper
Enabling query processing across heterogeneous data models: A survey
2017 IEEE International Conference on Big Data (Big Data), 3211–3220.
TL;DR:
A taxonomy for describing the state of the art is introduced and a systematic evaluation framework conducive to understanding of query-processing characteristics in the relevant systems is proposed, used to assess four representative implementations.
(via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018
2017 conference paper
A semantics-aware storage framework for scalable processing of knowledge graphs on hadoop
2017 IEEE International Conference on Big Data (Big Data), 193–202.
TL;DR:
The design of a Hadoop-based storage architecture for knowledge graphs that overcomes some of the challenges of big RDF data processing and enables the enabling of semantic-awareness in storage framework is presented.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2017 conference paper
A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction
Artificial intelligence in education, aied 2017, 10331, 536–539.
Source: NC State University Libraries
Added: August 6, 2018
2017 article
"Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 299–310.
Contributors: L. Pezzullo*, J. Wiggins *, M. Frankosky n, W. Min n , K. Boyer *, B. Mott n, E. Wiebe n , J. Lester n
author keywords: Learning companions; Pedagogical agents; Gender; Engagement; Game-based learning
TL;DR:
Girls were significantly more engaged than boys, particularly with the narrative-integrated agent, while boys reported higher mental demand with that agent, which contributes to the growing understanding that learning companions must adapt to students’ gender in order to facilitate the most effective learning interactions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 conference paper
riboStreamR: A web application for quality control, analysis, and visualization of Ribo-seq data
International conference on computational advances in bio and medical.
TL;DR:
RiboStreamR provides visualization and analysis tools for various Ribo-seq QC metrics, including read length distribution, read periodicity, and translational efficiency, and the platform's environment is centered on providing a user-friendly experience, and includes numerous options for graphical customization and report generation.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2017 article
Towards Privacy-Aware Collaborative Security: A Game-Theoretic Approach
2017 1ST IEEE SYMPOSIUM ON PRIVACY-AWARE COMPUTING (PAC), pp. 72–83.
author keywords: collaborative security; game theory; privacy
TL;DR:
A repeated two-layer single-leader multi-follower game is proposed and the expected behaviors of both the attacker and the security entities are derived and the utility-privacy tradeoff curve is obtained.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 conference paper
SafeRelay: Improving safety in the time-constrained VANET with geoaddresing relay
2017 IEEE International Conference on Vehicular Electronics and Safety (ICVES), 44–50.
TL;DR:
SafeRelay is proposed, a flooding-based message dissemination technique that relays safety messages within a geographically addressed forwarding zone (FZ) that can significantly improve safety awareness using moderately-sized nearby forwarding zones.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2017 article
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap
2017 IEEE 6TH INTERNATIONAL CONGRESS ON BIG DATA (BIGDATA CONGRESS 2017), pp. 232–250.
author keywords: High performance computing; Spatial data mining; Remote sensing data; Medical images; Spatial econometrics; Map-reduce systems; CyberGIS; Parallel algorithms and data structures
TL;DR:
This vision paper reviews the current state ofart and lays out emerging research challenges in parallel processing of spatial-temporal large datasets relevant to a variety of scientific communities and requires a multidisciplinary effort to significantly advance domain research and have a broad impact on the society.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 article
Leveraging Sentiment Analysis for Classifying Patient Complaints
ACM-BCB' 2017: PROCEEDINGS OF THE 8TH ACM INTERNATIONAL CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY,AND HEALTH INFORMATICS, pp. 44–51.
Contributors: J. Karrass*, T. Catron*, Z. Zhang *, W. Cooper *, A. ElMessiry & M. Singh n
author keywords: Patient Complaints; NLP; Text Mining
TL;DR:
It is demonstrated that inferring the complaint sentiment leads to improved classification accuracy and is concluded that patient sentiments conveyed in complaints are often overlooked yet can be valuable in analyzing such complaints to identify and mitigate patient safety and provider financial risks.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 conference paper
At the end of synthesis: Narrowing program candidates
2017 IEEE/ACM 39th International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track (ICSE-NIER), 19–22.
Source: NC State University Libraries
Added: August 6, 2018
2017 conference paper
Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion
International conference on affective computing and intelligent, 184–189.
TL;DR:
Results from the study suggest that learners' performance is significantly better when a human tutor agent facially expresses emotions that are congruent with the content relevancy and that learners facially express significantly more confusion when the human tutorAgent provides incongruent facial expressions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018
2017 conference paper
Semi-supervised deep generative models for change detection in very high resolution imagery
2017 ieee international geoscience and remote sensing symposium (igarss), 1063–1066.
TL;DR:
A semi-supervised deep generative model for change detection in very high resolution multispectral and bitemporal imagery is explored and an auxiliary variational autoencoder is constructed that infers class labels without incurring high sample complexity costs.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2017 conference paper
On service composition algorithm for open marketplaces of network services
2017 european conference on networks and communications (eucnc).
TL;DR:
Network service composition provided as a service in an Open Marketplace enables users to obtain customized end-to-end composed service(s) using the services advertised by the providers in the marketplace using a semantic language for advertising services.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2017 conference paper
Hierarchical change detection framework for biomass monitoring
2017 ieee international geoscience and remote sensing symposium (igarss), 620–623.
TL;DR:
A nearest neighbor based hierarchical change detection methodology for analyzing multi-temporal remote sensing imagery and shows that K-Means over-detects changes in comparison to the proposed method.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2017 article
Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors
PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER 17), pp. 127–135.
Event: at New York, NY, USA
TL;DR:
This work explores how and why students seek and avoid help when programming, and how this process differs when the help is provided by a human or a computer, through a qualitative analysis of 15 students' interviews.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 journal article
Computing Team Process Measures From the Structure and Content of Broadcast Collaborative Communications
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 4(2), 26–39.
Contributors: N. Buchler*, A. Kalia*, A. DeCostanza* & M. Singh n
author keywords: Emergent states; team performance; team processes; text mining
TL;DR:
This work builds on existing work in semantic classification of messages in broadcast communications and proposes a general set of meanings of messages for team processes, and develops a better-defined formal empirical approach for computing team process measures.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2017 article
Toward Automating Crowd RE
2017 IEEE 25TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE), pp. 512–515.
Contributors: N. Ajmeri n , P. Murukannaiah * & M. Singh n
Event: at United States
author keywords: Crowd RE; personality; creativity; smarthome; dataset; data challenges
TL;DR:
A crowd-acquired dataset, consisting of requirements and their ratings on multiple dimensions for the smart homes application domain, is showcased, which contains not only requirements, but also the characteristics of the crowd workers who produced those requirements including their demographics, personality traits, and creative potential.
(via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018
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