人工智能 | 国际会议信息6条

人工智能

ICALT 2019

IEEE International Conference on Advanced Learning Technologies

全文截稿: 2019-01-20

开会时间: 2019-07-15

会议难度: ★★

CCF分类: 无

会议地点: Maceió-Alagoas, Brazil

网址：http://www.ieee-icalt.org

The 19th IEEE International Conference on Advanced Learning Technologies (ICALT 2019) will be organized at the Federal University of Alagoas (UFAL), Maceió-Alagoas, Brazil. Elected the most beautiful coastal city of Brazil, Maceió has lush beaches and natural pools that attract tourists from all over the world. The tropical climate and its large coconut palms add a magical touch to the paradisiacal landscape. Its gastronomy is prescribed, with the regional dishes as a stuffed tapioca, hidden of meat of the sun, besides several seafood. A remarkable culture, which brings together art, music, crafts, dance and folguedos that make up the portrait of the Alagoas. A maritime island that offers bars and restaurants with varied attractions, and a hotel network ready to promote satisfaction and visitors.

人工智能

IV 2019

IEEE IV BROAD Workshop: the BROAD workshop – BRoad and Open-minded discussions of Autonomous Driving

全文截稿: 2019-02-04

开会时间: 2019-06-09

会议难度: ★★

CCF分类: 无

会议地点: Paris, France

网址：https://autonomesysteme.informatik.haw-hamburg.de/page/ieee-iv-2019-broad-ws/

The workshop is structured in two sessions to focus on two major aspects of these questions. The first session will identify major challenges across all aspects of autonomous driving (algorithmic, societal, etc.) that are supposed to or that could probably impede the development of autonomous driving (AD) or its introduction on the market. These could be technical issues (how many test miles need to be driven? is ML reliable? how to select training data?). But these could also be non-technical questions like law-, insurance-related, or ethical questions. Therefore, two different keynotes will be given: one OEM (Mercedes-Benz USA) and one legal scientist (Leibniz University, Germany).
In the second session, cognitively-inspired and ML-based solutions will be presented. Here, we will focus on two approaches: pure ML, and bio-inspired approaches that try to mimic cognitive mechanisms observed in humans and/or animals in a reasonable amount of detail. Each approach has their own particular advantages and limitations. For example pure ML often requires large amounts of training data, yet is typically very brittle while bio-inspired approaches are by necessity based on incomplete theories, and we’re still missing convincing demonstrations in real applications.

人工智能

EXTRAAMAS 2019

International Workshop on Explainable, Transparent Agent and Multi-Agent Systems

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://extraamas.ehealth.hevs.ch/index.html

The main aim of this first “International workshop on Explainable Intelligence in Autonomous Agent and Multi-Agent Systems” (EXTRAAMAS) is four-folded:
to establish a common ground for the study and development of explainable and understandable autonomous agents, robots and Multi-Agent Systems (MAS),
to investigate the potential of agent-based systems in the development of personalized user-aware explainable AI,
to assess the impact of transparent and explained solutions on the user/agents behaviors, and
to discuss motivating examples and concrete applications in which the lack of explainability leads to problems, which would be resolved by explainability.

人工智能

AIPR 2019

International Conference on Artificial Intelligence and Pattern Recognition

全文截稿: 2019-03-25

开会时间: 2019-08-16

会议难度: ★

CCF分类: 无

会议地点: Beijing, China

网址：http://www.aipr.net/

On behalf of the Organizing Committees, it is with great pleasure that we welcome you to the 2019 2nd International Conference on Artificial Intelligence and Pattern Recognition (AIPR 2019), going to be held in North China University of Technology (NCUT), located on the western side of Beijing, China during August 16-18, 2019. It is hosted by North China University of Technology (NCUT), supported by School of Computer Science and Technology of NCUT.

AIPR 2019 will keep promoting the information exchange on communication technology, which aims to promote international academic exchange and international cooperation, and provides an opportunity for researchers around the world to exchange ideas and latest research results, in both theory and application of communication technologies. It will deliver a rich technical program discussing the future of Artificial Intelligence and Pattern Recognition, offering distinguished keynotes, panels and technical sessions.

人工智能

BDAI 2019

International Conference on Industrial Applications of Big Data and Artificial Intelligence

全文截稿: 2019-04-10

开会时间: 2019-10-17

会议难度: ★★

CCF分类: 无

会议地点: Shanghai, China

网址：http://www.bdai2019.org/

BDAI 2019 is the premier interdisciplinary forum for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world.

人工智能

AITS 2019

Artificial Intelligence in Transportation Systems

全文截稿: 2019-04-15

开会时间: 2019-09-03

会议难度: ★★

CCF分类: 无

会议地点: Vila Real, Portugal

网址：https://epia2019.utad.pt/index.php/83-thematic-tracks/101-aits

The Workshop welcomes and encourages contributions reporting on original research, work under development and experiments of different AI techniques, such as intelligent agents and multi-agent systems, supervised/unsupervised learning as well as statistical learning approaches (e.g. neural networks for classification problems, logistic regression, decision trees/rules induction, and so forth), biologically inspired approaches, evolutionary algorithms, knowledgebased and expert systems, case-based reasoning, fuzzy logics, data mining and/or fusion techniques, big-data analytics, and other pattern-recognition and optimization techniques, as well as ambient intelligence and ontologies, to address specific issues in contemporary transportation and mobility systems, which would include (but are not limited to):

different modes of transport and their interactions (air, road, rail and water transports);
intelligent and real-time traffic management and control;
design, operation, timetabling and real-time control of logistics systems and freight transport;
transport policy, planning, design and management;
environmental issues, road pricing, security and safety;
transport systems operation;
application and management of new technologies in transport;
travel demand analysis, prediction and transport marketing;
advanced traveller information systems and services;
ubiquitous transport technologies and ambient intelligence;
pedestrian and crowd simulation and analysis;
urban planning toward sustainable mobility;
service oriented architectures for vehicle-to-vehicle and vehicle-to-infrastructure communications;
assessment and evaluation of intelligent transportation technologies;
human factors in intelligent vehicles;
autonomous driving;
artificial transportation systems and simulation;
serious games and gamification in transportation;
behaviour modelling and social simulation of transportation systems;
electric mobility and its relationship with smart grids and the electricity market;
computer vision in autonomous driving;
surveillance and monitoring systems for transportation and pedestrians;
data-driven preventive maintenance policies;
Anomalous Trajectory Mining and Fraud Detection;
smart architectures for vehicle-to-vehicle/vehicle-to-infrastructure communications;
automatic assessment and/or evaluation on the transport reliability (planning, control and other related policies);
Intelligent transportation infrastructure management and maintenance.

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