人工智能 | KSEM 2019等国际会议信息8条

人工智能

CICLing 2019

International Conference on Computational Linguistics and Intelligent Text Processing

摘要截稿: 2019-01-10

全文截稿: 2019-01-17

开会时间: 2019-04-07

会议难度: ★★

CCF分类: 无

会议地点: La Rochelle, France

网址：http://www.CICLing.org/2019

In general, we are interested in whatever helps, will help eventually, or might help computers meaningfully deal with language data.

The conference is intended to encourage exchange of opinions between the scientists working in different areas of the growing field of computational linguistics and intelligent text and speech processing. Our idea is to get a general view of the state of art in computational linguistics and its applications.

Areas of interest include, but are not limited to, the following topics, provided that the work is presented in computer-related or formal description aspects:

Computational linguistics research:

Computational linguistic theories and formalisms
Representation of linguistic knowledge
Lexical resources
Morphology, syntax, semantics
Discourse models
Ambiguity resolution
Anaphora resolution
Word sense disambiguation
Recognizing textual entailment
Text generation
Machine translation
etc.
Intelligent text and speech processing and their applications:

Opinion mining, sentiment analysis, social networks
Speech processing and text-to-speech
Text categorization and clustering
Information retrieval, information extraction
Text mining
Summarization
Spell checking
Detection of plagiarism
Natural language interfaces
etc.

人工智能

ALA 2019

Adaptive and Learning Agents Workshop @ AAMAS

全文截稿: 2019-02-12

开会时间: 2019-05-13

会议难度: ★★★

CCF分类: 无

会议地点: Montreal, Canada

网址：https://ala2019.vub.ac.be/

The goal of this workshop is to increase awareness of and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multi-agent systems. It aims at bringing together not only scientists from different areas of computer science (e.g. agent architectures, reinforcement learning, evolutionary algorithms) but also from different fields studying similar concepts (e.g. game theory, bio-inspired control, mechanism design).

The workshop will serve as an inclusive forum for the discussion of ongoing or completed work covering both theoretical and practical aspects of adaptive and learning agents and multi-agent systems.

This workshop will focus on all aspects of adaptive and learning agents and multi-agent systems with a particular amphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include but are not limited to:

Novel combinations of reinforcement and supervised learning approaches
Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc.
Supervised multi-agent learning
Reinforcement learning (single- and multi-agent)
Novel deep learning approaches for adaptive single- and multi-agent systems
Multi-objective optimisation in single- and multi-agent systems
Planning (single- and multi-agent)
Reasoning (single- and multi-agent)
Distributed learning
Adaptation and learning in dynamic environments
Evolution of agents in complex environments
Co-evolution of agents in a multi-agent setting
Cooperative exploration and learning to cooperate and collaborate
Learning trust and reputation
Communication restrictions and their impact on multi-agent coordination
Design of reward structure and fitness measures for coordination
Scaling learning techniques to large systems of learning and adaptive agents
Emergent behaviour in adaptive multi-agent systems
Game theoretical analysis of adaptive multi-agent systems
Neuro-control in multi-agent systems
Bio-inspired multi-agent systems
Applications of adaptive and learning agents and multi-agent systems to real world complex systems

人工智能

ALIFE 2019

The Conference on Artificial Life

全文截稿: 2019-03-08

开会时间: 2019-07-29

会议难度: ★★

CCF分类: 无

会议地点: Newcastle upon Tyne, UK

网址：https://2019.alife.org/

How Can Artificial Life Help Solve Societal Challenges?

Artificial Life has historically been regarded by its adversaries as an academic “hobby” with little relation to real life. We feel that these days are past, as in fact, our interdisciplinary and constantly self-innovating discipline brings together a set of skills and perspectives with a unique potential to tackle some of the most pressing societal challenges of our times. The theme “How can Artificial Life help to solve Societal Challenges” will run through the conference in the shape of keynote presentations and satellite events that apply Artificial Life principles to research on sustainable technologies, bioremediation, urban development and environmental planning, alternative societies a.s.o.But more than merely theming presentations, ALIFE2019 in Newcastle plans to revisit the very way academic conferences are run: a balanced amount of remote talks as well as broadcasting of presentations in order to reduce CO2 emissions, carbon-offset bursaries that allow participants to diminish their ecological footprint, locally sourced catering – these are just a few of the ideas that the organizers will explore, so that us academics can realize some of the change we are advocating for.

人工智能

SDAI 2019

EAI International Conference on Social Data and Artificial Intelligence

全文截稿: 2019-03-15

开会时间: 2019-08-07

会议难度: ★★

CCF分类: 无

会议地点: Minneapolis, United States

网址：http://sdai-conf.org/

Authors are encouraged to submit previously unpublished original papers in the following areas:

Social Data inadequacies and inconsistencies
Predictive models of social behaviours
Infrastructure and architecture for testing social theories
Data collection and analysis platforms
Relevance of IoT for social science theories
Building capacity to continuously collect data across a range of social media networks
Designing efficient parsers to deal with noisy social media datasets for real-time tracking of health issues, diseases and wellness
Designing tools to map and measure the effectiveness of health campaigns by healthcare organizations
Cross-validating the predictive models of social media datasets with ground truth data
Developing frameworks and algorithms to perform real-time analysis of social media datasets

人工智能

CD-MAKE 2019

International Cross Domain Conference for Machine Learning & Knowledge Extraction

全文截稿: 2019-04-08

开会时间: 2019-08-26

会议难度: ★★

CCF分类: 无

会议地点: Canterbury, UK

网址：https://cd-make.net

The goal of the CD-MAKE conference is to act as an innovative catalysator and to bring together researchers from the following seven thematic sub-areas in a cross-disciplinary manner, to stimulate fresh ideas and to encourage multi-disciplinary problem solving:

❶ DATA – data fusion, preprocessing, mapping, knowledge representation, discovery
❷ LEARNING – algorithms, contextual adaptation, explainable-AI, causal reasoning
❸ VISUALIZATION – visual analytics, intelligent interfaces, human-computer interaction
❹ PRIVACY – data protection, safety, security, ethics, acceptance and social issues of ML
❺ NETWORK – graphical models, graph-based machine learning
❻ TOPOLOGY – geometrical machine learning, topological and manifold learning
❼ ENTROPY – time and machine learning, entropy-based ML

人工智能

KSEM 2019

International Conference on Knowledge Science, Engineering and Management

全文截稿: 2019-04-10

开会时间: 2019-08-28

会议难度: ★★★

CCF分类: C类

会议地点: Athens, Greece

网址：http://ksem2019.unipi.gr

The 12th  International Conference on Knowledge Science, Engineering and Management (KSEM 2019) will be held in Athens, Greece on August 28-30, 2019.  

KSEM 2019 is the twelfth in this series, which builds on the success  of eleven previous events of the International Conference on Knowledge  Science, Engineering and Management in Guilin, China (KSEM 2006);  Melbourne, Australia (KSEM 2007); Vienna, Austria (KSEM 2009); Belfast,  UK (KSEM 2010); Irvine, USA (KSEM 2011); Dalian, China (KSEM 2013);  Sibiu, Romania (KSEM 2014); Chongqing, China (KSEM2015); Passau, Germany  (KSEM 2016); Melbourne, Australia (KSEM 2017); and Changchun, China  (2018).

The aim of this interdisciplinary conference is to provide a forum  for researchers in the broad areas of knowledge science, knowledge  engineering, and knowledge management to exchange ideas and to report  state of the art research results.

人工智能

LAW 2019

Linguistic Annotation Workshop

全文截稿: 2019-04-12

开会时间: 2019-08-01

会议难度: ★★

CCF分类: 无

会议地点: Florence, Italy

网址：https://sigann.github.io/LAW-XIII-2019/

Linguistic annotation of natural language corpora is the backbone of supervised methods for statistical natural language processing. It also provides valuable data for evaluation of both rule-based and supervised systems and can help formalize and study linguistic phenomena.

The LAW provides a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation and evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, etc.

人工智能

AMI 2019

European Conference on Ambient Intelligence

全文截稿: 2019-06-10

开会时间: 2019-11-13

会议难度: ★★

CCF分类: 无

会议地点: Rome, Italy

网址：http://ami-conferences.org/2019/

AmI2019 will provide a meeting point for each of these communities, aiming for intensive networking and scientific debate, and shaping visions of the future. This year's event focus topic is “Data-driven Ambient Intelligence” that follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities.
The Proceedings of AmI2019 will be published by Springer in the Lecture Notes in Computer Science (LNCS) series.

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