Works Published in 2017

search works

Displaying works 61 - 80 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 article

Automatically constructing training sets for electronic sentiment analysis

Devarajan, R., Benson, J. R., Caira, D. J., Sethi, S., Cox, J. A., Healey, C. G., … Padia, K. (2017, July). Google Patents.

By: R. Devarajan, J. Benson, D. Caira, S. Sethi, J. Cox, C. Healey, G. Dinakaran, K. Padia

Source: ORCID
Added: September 13, 2021

2017 journal article

3D face recognition in the Fourier domain using deformed circular curves

Multidimensional Systems and Signal Processing, 28(1), 105–127.

author keywords: Face recognition; Classification; Deformed circular curves; Geodesic distance; Fourier Transform; Dimensionality reduction
TL;DR: This paper proposes an approach to 3D face recognition using dimensionality reduction based on deformed circular curves, on the shortest geodesic distances, and on the properties of the Fourier Transform. (via Semantic Scholar)
Source: Crossref
Added: December 31, 2020

2017 chapter

Efficient Outlier Detection in Hyperedge Streams Using MinHash and Locality-Sensitive Hashing

In C. Cherifi, H. Cherifi, M. Karsai, & M. Musolesi (Eds.), Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017 (pp. 105–116).

By: S. Ranshous n, M. Chaudhary n & N. Samatova n

Ed(s): C. Cherifi, H. Cherifi, M. Karsai & M. Musolesi

TL;DR: This work proposes the first approach for mining outliers in hyperedge streams, and describes an approximation scheme that ensures the model is suitable for being run in streaming environments. (via Semantic Scholar)
Source: Crossref
Added: December 11, 2020

2017 chapter

A Community-Driven Graph Partitioning Method for Constraint-Based Causal Discovery

In C. Cherifi, H. Cherifi, M. Karsai, & M. Musolesi (Eds.), Complex Networks & Their Applications VI. COMPLEX NETWORKS 2017 (pp. 253–264).

By: M. Chaudhary n, S. Ranshous n & N. Samatova n

Ed(s): C. Cherifi, H. Cherifi, M. Karsai & M. Musolesi

TL;DR: This work proposes a novel recursive algorithm for constructing causal graphs, based on a two-phase divide and conquer strategy, which effectively finds the d-separators, leading to a significant improvement in the quality of causal graphs. (via Semantic Scholar)
Source: Crossref
Added: December 11, 2020

2017 conference paper

Blending tools for a Smooth Introduction to 3D Geovisualization

Pedagogy of Data Visualization Workshop (PDVW). Presented at the IEEE VIS: Visualization & Visual Analytics, Phoenix, AZ.

By: L. Tateosian & P. Tabrizian

Event: IEEE VIS: Visualization & Visual Analytics at Phoenix, AZ on October 1, 2017

Source: NC State University Libraries
Added: December 11, 2020

2017 chapter

Software-level task scheduling on GPUs

In Advances in GPU Research and Practice (pp. 83–103).

By: B. Wu* & X. Shen n

TL;DR: This chapter presents a compiler and runtime framework with the capability to automatically transform and optimize GPU programs to enable controllable task scheduling to the streaming multiprocessors (SMs), which addresses the complexities of the hardware scheduler and provides the scheduling capability. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: December 7, 2020

2017 chapter

Data placement on GPUs

In Advances in GPU Research and Practice (pp. 105–123).

By: X. Shen n & B. Wu*

TL;DR: This chapter discusses the complexity of GPU memory systems and describes a software framework named PORPLE to show how to automatically resolve the complexity for a given GPU program. (via Semantic Scholar)
Sources: Crossref, NC State University Libraries
Added: December 7, 2020

2017 conference paper

The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It?

Educational Data Mining (EDM2017). Presented at the International Conference on Educational Data Mining (EDM), Wuhan, China.

By: Z. Liu, C. Cody, T. Barnes, C. Lynch & T. Rutherford

Event: International Conference on Educational Data Mining (EDM) at Wuhan, China on June 25-28, 2017

Source: NC State University Libraries
Added: December 7, 2020

2017 chapter

Intelligent Pedagogical Agents

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1152–1153). Tokyo, Japan: Japan Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 chapter

Instructional Strategy

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (pp. 1157–1159). Tokyo, Japan: Japan Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 chapter

Natural language processing in educational systems

In H. Matsubara (Ed.), Encyclopedia of Artificial Intelligence (p. 1101). Tokyo, Japan: Society of Artificial Intelligence.

By: N. Matsuda

Ed(s): H. Matsubara

Source: NC State University Libraries
Added: November 28, 2020

2017 conference paper

Supporting Ruled Polygons

CCCG: The Canadian Conference in Computational Geometry. Presented at the Canadian Conference in Computational Geometry, Ottawa, Ontario.

By: N. Cavanna, M. Khoury & D. Sheehy

Event: Canadian Conference in Computational Geometry at Ottawa, Ontario on July 26-28, 2017

Source: NC State University Libraries
Added: November 15, 2020

2017 conference paper

Engineering Socially Intelligent Personal Agents via Norms

In K. Larson, M. Winikoff, S. Das, & E. H. Durfee (Eds.), Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS) (pp. 1822–1823). https://research-information.bris.ac.uk/en/publications/a57d9424-afc0-4e03-a80f-991adf4697c5

By: N. Ajmeri

Ed(s): K. Larson, M. Winikoff, S. Das & E. Durfee

Source: ORCID
Added: October 31, 2020

2017 conference paper

Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents

Proceedings of the 16th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 230–238. https://research-information.bris.ac.uk/en/publications/1abb3707-460c-4cf4-aba0-fefca322f6d8

By: N. Ajmeri, H. Guo, P. Murukannaiah & M. Singh

Source: ORCID
Added: October 31, 2020

2017 conference paper

Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming

Educational Data Mining (EDM2017). Presented at the International Conference on Educational Data Mining (EDM), Wuhan, China.

By: T. Price, R. Zhi & T. Barnes

Event: International Conference on Educational Data Mining (EDM) at Wuhan, China on June 25-28, 2017

Sources: ORCID, NC State University Libraries
Added: July 30, 2020

2017 conference paper

Interactive narrative personalization with deep reinforcement learning

IJCAI International Joint Conference on Artificial Intelligence, 3852–3858. http://www.scopus.com/inward/record.url?eid=2-s2.0-85031928990&partnerID=MN8TOARS

By: P. Wang, J. Rowe, W. Min, B. Mott & J. Lester

Contributors: P. Wang, J. Rowe, W. Min, B. Mott & J. Lester

Source: ORCID
Added: May 20, 2020

2017 conference paper

Simulating player behavior for data-driven interactive narrative personalization

Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017, 255–261. http://www.scopus.com/inward/record.url?eid=2-s2.0-85055706729&partnerID=MN8TOARS

By: P. Wang, J. Rowe, W. Min, B. Mott & J. Lester

Contributors: P. Wang, J. Rowe, W. Min, B. Mott & J. Lester

Source: ORCID
Added: May 20, 2020

2017 conference paper

Multimodal goal recognition in open-world digital games

Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017, 80–86. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051737443&partnerID=MN8TOARS

By: W. Min, B. Mott, J. Rowe, R. Taylor, E. Wiebe, K. Boyer, J. Lester

Contributors: W. Min, B. Mott, J. Rowe, R. Taylor, E. Wiebe, K. Boyer, J. Lester

Source: ORCID
Added: May 20, 2020

2017 conference paper

Deep LSTM-based goal recognition models for open-world digital games

AAAI Workshop - Technical Report, WS-17-01 - WS-17-15, 851–858. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046086839&partnerID=MN8TOARS

By: W. Min, B. Mott, J. Rowe & J. Lester

Contributors: W. Min, B. Mott, J. Rowe & J. Lester

Source: ORCID
Added: May 20, 2020

2017 conference paper

A pathway to strengthening support for Beauty and Joy of Computing teachers

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 779–780.

By: M. Subramaniam n & V. Cateté n

Contributors: M. Subramaniam n & V. Cateté n

TL;DR: A new style of coding rubric is introduced, which allows teachers to better understand the fundamentals of the course being taught, and focuses solely on the Beauty and Joy of Computing, an AP Computer Science Principles course. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: ORCID
Added: May 6, 2020

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.