【计算机类】国际会议约稿信息6条

全文截稿: 2017-09-30

开会时间: 2017-12-14

会议难度: ★★

CCF分类: 无

会议地点: Las Vegas, USA

网址：http://americancse.org/events/csci2017

Computational Science and Computational Intelligence, both share the same objective: finding solutions to difficult problems. However, the methods to the solutions are different. The main objective of the CSCI Conference is to facilitate increased opportunities for cross-fertilization across CS and CI.

The CSCI Conference is committed to encouraging diversity and eliminating discrimination in both its role as a conference and as a provider of services. CSCI aims to create a culture that respects and values each others' differences, that promotes dignity, equality and diversity, and that encourages individuals to develop and maximize their true potential resulting in diversity of products and diversity of solutions to challenging research problems. We are committed wherever practicable to organizing a conference that broadly reflects the international community.

摘要截稿: 2017-10-06

全文截稿: 2017-10-13

开会时间: 2018-04-03

会议难度: ★★★

CCF分类: C类

会议地点: Belfast, Northern Ireland

网址：http://www.ispass.org/ispass2018/

The IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) provides a forum for sharing advanced academic and industrial research work focused on performance analysis in the design of computer systems and software. ISPASS 2018 will be held April 3 through 5, 2018 in Belfast, Northern Ireland (UK). Authors are invited to submit previously unpublished work for possible presentation at the conference. Papers are solicited in fields that include the following:
-Performance and power evaluation methodologies
-Foundations of performance and power analysis
-Power/Performance analysis of commercial and experimental hardware
-Power/Performance analysis of emerging workloads and software
-Application and system code tuning and optimization
-Confirmations or refutations of important prior results

In addition to research papers, ISPASS welcomes tool and benchmark papers. The conference is an ideal forum to publicize new tools and benchmarks for the community. These papers, which can detail tools and benchmarks in any of the above fields of interest, will be judged primarily on their potential impact and use, rather than on their research contribution.

摘要截稿: 2017-10-06

全文截稿: 2017-10-13

开会时间: 2018-05-03

会议难度: ★★★★

CCF分类: B类

会议地点: San Diego, USA

网址：http://www.siam.org/meetings/sdm18/

Data mining is the computational process for discovering valuable knowledge from data – the core of modern Data Science. It has enormous applications in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

SDM has established itself as a leading conference in the field of data mining and provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. SDM emphasizes principled methods with solid mathematical foundation, is known for its high-quality and high-impact technical papers, and offers a strong workshop and tutorial program (which are included in the conference registration). The proceedings of the conference are published in archival form, and are also made available on the SIAM web site.

Topics:
-Methods and Algorithms
-Applications
-Human Factors and Social Issues

全文截稿: 2017-10-22

开会时间: 2017-12-09

会议难度: ★★★

CCF分类: 无

会议地点: Long Beach, CA

网址：http://www.interpretable-ml.org/nips2017workshop/

We call for papers on the following topics:
- interpretability of deep neural networks
- analysis and comparison of state-of-the-art models
- formalization of the interpretability problem
- interpretability for making ML socially acceptable
- applications of interpretability.

Submissions are required to stick to the NIPS format. Papers are limited to eight pages (excluding references) and will go through a review process. A selection of accepted papers together with the invited contributions will be part of an edited book at Springer LNCS.

全文截稿: 2017-10-23

开会时间: 2017-12-14

会议难度: ★★

CCF分类: 无

会议地点: Chennai

网址：http://www.icoac.mitindia.edu/

ICoAC 2017 is an international conference in the field of Computer Science and Communication, focusing to address issues and developments in advanced computing. This conference seeks to bring together international researchers to present papers and generate discussions in recent trends and developments of computing. The conference will feature a range of presentations on latest research activities as well as stimulating talks and keynote addresses. It is organized by the Department of Computer Technology annually during December.

Accepted research papers will be submitted for inclusion to IEEE Xplore. The extended version of high-quality innovative research papers from the registered papers presented at the conference will be considered for publications in SCI and Scopus Indexed Journal.