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Extension of submission deadlines for SIAM CSE21
August 3rd, 2020 
Daniela Lopez de Luise 
IEEEXtreme 14.0 Team Registration is Now Open
August 3rd, 2020 Daniela Lopez de Luise 
neural network-related talk
August 1st, 2020 Daniela Lopez de Luise September 22 talk will be on the use of neural networks:
Data Driven Governing Equations Recovery with Deep Neural Networks
Dongbin Xiu
Department of Mathematics
The Ohio State University
We present effective numerical algorithms for recovering unknown governing equations from measurement data. Upon recasting the problem into a function approximation problem, we discuss the importance of using a large number of short bursts of trajectory data, rather than using data from a small number of long trajectories. Several recovery strategies using deep neural networks (DNNs) are presented. We demonstrate that residual network (ResNet) is particularly suitable for equation discovery, as it can produce exact time integrator for numerical prediction. We then present a set of applications of the DNN learning of unknown dynamical systems, which may contain random parameters or missing variables, as well as learning of unknown partial differential equations. The numerical examples demonstrate that DNNs can be a highly effective tool for data driven physics recovery.
From: Tobias von Petersdorff tvp@math.umd.edu
Subject: Sayas Numerics Seminar, ONLINE, Sep 2020
We are pleased to announce SAYAS NUMERICS SEMINAR, a new online seminar on computational mathematics jointly organized by
– University of Maryland, College Park, MD
– University of Maryland, Baltimore County, MD
– George Mason University, Fairfax, VA
– University of Delaware, Newark, DE
The seminar is named in honor of Prof. Francisco-Javier Sayas (1968-2019). In addition to his many achievements he played a key role in establishing and
running the annual meeting DelMar Numerics Day, and was dedicated to its mission of giving younger mathematicians an opportunity to share their work
with the community.
The seminar will meet via Zoom on Tuesdays at 3:30pm (Eastern Time) unless noted otherwise. Please go to https://sayasseminar.math.umd.edu to REGISTER,
SUBMIT A CONTRIBUTED TALK, and to see the INVITED TALKS.
Researchers from anywhere in the world are welcome to attend, but REGISTRATION IS REQUIRED.
The organizing committee: Harbir Antil, Andrei Draganescu, Ricardo H. Nochetto, Petr Plechac, Tobias von Petersdorff
On-Site and Remote: August 25 Deadline for eKNOW 2020 || November 21 – 25, 2020 – Valencia, Spain
July 31st, 2020 Daniela Lopez de Luise ============== eKNOW 2020 | Call for Papers ===============
CALL FOR PAPERS, TUTORIALS, PANELS
eKNOW 2020, The Twelfth International Conference on Information, Process, and Knowledge Management
General page: http://www.iaria.org/conferences2020/eKNOW20.html
Submission page: http://www.iaria.org/conferences2020/SubmiteKNOW20.html
Event schedule: November 21 – 25, 2020 – Valencia, Spain
Contributions:
– regular papers [in the proceedings, digital library]
– short papers (work in progress) [in the proceedings, digital library]
– ideas: two pages [in the proceedings, digital library]
– extended abstracts: two pages [in the proceedings, digital library]
– posters: two pages [in the proceedings, digital library]
– posters: slide only [slide-deck posted at www.iaria.org]
– presentations: slide only [slide-deck posted at www.iaria.org]
– demos: two pages [posted at www.iaria.org]
– doctoral forum submissions: [in the proceedings, digital library]
Proposals for:
– mini symposia: see http://www.iaria.org/symposium.html
– workshops: see http://www.iaria.org/workshop.html
– tutorials: [slide-deck posed on www.iaria.org]
– panels: [slide-deck posed on www.iaria.org]
Submission deadline: August 25, 2020
Sponsored by IARIA, www.iaria.org
Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org
Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
The topics suggested by the conference can be discussed in terms of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.
Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html
eKNOW 2020 Topics (for topics and submission details: see CfP on the site)
Call for Papers: http://www.iaria.org/conferences2020/CfPeKNOW20.html
============================================================
Knowledge fundamentals
Knowledge acquisition, processing, and management; Linguistic knowledge representation; Knowledge modeling and virtualization; Types of knowledge: structural, behavioral, relationships, etc.; Knowledge representation: visual-picture, connectionist model, semi-structured [a la workflow], structured/formal; Knowledge acquisition status: potential new knowledge, guessed semantics, confirmed semantics, auditing confirmed semantics, etc.; Knowledge update: probable insertion, validated insertion, auditing the insertion periodically based on new knowledge, etc.
Advanced topics in Deep/Machine learning
Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Machine learning for systems.
Trends on annotation and extraction
Natural Languages-based features and systems; Annotation handling (multilingual, semantic, shared, open, prosody, etc.); Annotation as a Service (AaaS); Handling argument-based knowledge; Event-based knowledge; Tagging and supertagging; Extraction patterns; Uncertain reasoning; Visual error analysis; Domain-specific paraphrase extraction; Tweets and sentence compression; Role labeling semantic; Heterogeneous annotations
Trends on news and social media
New events-based knowledge;In-context news creation; Superlative expressions; News highlights generation systems; News special summarization systems (e.g, for blind and/or visually impaired people); Sentiment classification (emotion, irony, sarcasm, rhetorical questions, opinion, etc.); Rumor dynamics and social media; Contextual pragmatic models;; Social prediction; Prediction semantic analysis; Predictability of distrust; Aspect-based sentiment analysis; Argument generation systems; Relevance of citation recommendation; Retrieval bias and retrieval performance; High-speed captioning images; Language models for images; Participative KM platforms
Trends on knowledge processing support and mechanisms
Open knowledge bases; Structured knowledge bases; Big knowledge applications; Linked knowledge objects; Knowledge datasets; Machine translation systems; Convolution neural networks; Hybrid representations and equivalent semantics; Processing bilingual information; Topic trends and temporal signatures; Cross-view features; Pattern-based knowledge; Ranking optimization in context; Concept-based classification and ranking; KM design for life long learning and long term uses
Knowledge identification and discovery
Mining for knowledge; Knowledge identification: semantic-ID, etc.; Knowledge discovery: how to express knowledge requests?, how to find knowledge?, etc.; Knowledge refinement: after many acquisitions, former knowledge can change semantically or structurally, etc.; Knowledge clustering
Knowledge management systems
Knowledge data systems; Industrial systems; Context-aware and self-management systems; Imprecision/Uncertainty/Incompleteness in databases; Cognitive science and knowledge agent-based systems; Databases and mobility in databases; Zero-knowledge systems; Expert systems; Tutoring systems; Digital libraries
Knowledge management (KM) and event processing (EP)
Methodologies and approaches to overcome technical hurdles and improve the interplay between KM and EP; Applications from various domains (e.g. financial, manufacturing, trading, telecommunication, service), which benefit from an integrated KM and EP
Knowledge semantics processing and ontology
Dynamic knowledge ontology; Collaborative knowledge ontology; Knowledge matching; Contextual reasoning; Tools for knowledge ontology; Context-based information extraction; Knowledge trading systems; Knowledge exchange portals; Cognitive sytems and knowledge processing; Human aspects in knowledge processing
Technological foresight and socio-economic evolution modelling
Anticipatory networks and decisions; Expert information management; Foresight support systems; Generating technological recommendations and rankings; Information society evolution; Online and real-time Delphi; Ontological knowledge bases of technologies and products; Roadmapping support systems; Strategic support systems; Technological information fusion; Technological policy decision support systems
Process analysis and modeling
Analysis and development of business architectures; Data mining and information retrieval for business processes; Business process modelling; Business process composition; Analysis and management lifecycle; Reasoning on business processes; Optimization of business processes; Adaptive business processes; Business process reengineering; Integration of processes; Process discovery; Business process quality; Resource allocation
Process management
Criteria for measurement of business process models; Monitoring business processes; Business process visualization; Management of business process integration; On-demand business transformation; Performance measurement; Conformance and risk management; Prediction; Business transformation; Packaged industry applications; Industry solutions
Information management
Informational mining/retrieval/classification; Geographic and spatial data Infrastructures; Information technologies; Information management systems; Information ethics and legal evaluations; Optimization and information technology; Organizational information systems
Decision support systems
Multi-criteria decision theory; Artificial intelligence; Adaptive design for decision support systems; Support technologies: knowledge-driven, data-driven, model-driven, and geographically-driven systems; Support methods: artificial neural networks, fuzzy logic, and genetic/evolutionary algorithms; Modeling, interfaces, and performance; Applications using decision support systems
Call for Papers – ICAART 2021
July 31st, 2020 Daniela Lopez de Luise CALL FOR PAPERS
13th International Conference on Agents and Artificial Intelligence
Submission Deadline: September 14, 2020
February 04 – 06, 2021
Vienna, Austria
In the event of covid-19 pandemic being still active early next year, the conference will allow remote presentations.
The purpose of the International Conference on Agents and Artificial Intelligence is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. Two simultaneous related tracks will be held, covering both applications and current research work. One track focuses on Agents, Multi-Agent Systems and Software Platforms, Distributed Problem Solving and Distributed AI in general. The other track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI Systems, and Evolutionary Computing and other topics related to Intelligent Systems and Computational Intelligence.
ICAART is organized in 2 major tracks:
1 – Agents
2 – Artificial Intelligence
Conference Chair(s)
Jaap van den Herik, Leiden University, Netherlands
Program Chair(s)
Ana Rocha, LIACC / FEUP, Portugal
Luc Steels, ICREA, Institute of Evolutionary Biology (UPF-CSIC) Barcelona, Spain
Technically Co-Sponsored by
IEEE Computational Intelligence Society
In Cooperation with
IberoAmerican Society of Artificial Intelligence
Association for the Advancement of Artificial Intelligence
Spanish Association of Artificial Intelligence
Associazione Italiana per l'Intelligenza Artificiale
Portuguese Association for Artificial Intelligence
Associação Portuguesa de Reconhecimento de Padrões
With the presence of internationally distinguished keynote speaker:
Gerhard Widmer, Institute for Computational Perception Johannes Kepler University (JKU) Linz and LIT
Proceedings will be submitted for indexation by:
SCOPUS
Google Scholar
The DBLP Computer Science Bibliography
Semantic Scholar
Microsoft Academic
Engineering Index (EI)
Conference Proceedings Citation Index
A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a LNAI Series book.
All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library.
Kind regards,
Marina Carvalho
ICAART Secretariat
Address: Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal
Tel: +351 265 520 185
Web: http://www.icaart.org
e-mail: icaart.secretariat@insticc.org