IPMU 2018 – Call for papers (deadline is approaching)

IPMU 2018 invites to submit previously unpublished research advances of theoretical and methodological nature as well as application-oriented work. The submissions cannot be under review or accepted for publication in a journal or another conference. Contributions will be selected upon their quality evaluated by at least three reviewers. Proposals for special sessions are welcome to be considered by the program committee.

Topics and scope of the conference

Theory, Methods and Tools: Uncertainty, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis.

Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering.

The conference proceedings will be published in Communications in Computer and Information Science (CCIS) with Springer. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.
CCIS volumes will also be submitted for the inclusion in ISI Proceedings (Web-of-Science).

Submission dates:

  • Special Session Proposals: September 15th, 2017
  • Notification of Special Sessions accepted: September 30th, 2017
  • Submission of full papers: November 22nd, 2017
  • Notification of acceptance: February 1st, 2018
  • Camera ready copies due: March 1st, 2018
  • Conference: June 11th-15th, 2018

Special Issue on Business Analytics (IF = 4,832)

Special Issue on Business Analytics – Emerging Trends and Challenges

in the journal Information Sciences (IF = 4.832) 

https://www.journals.elsevier.com/information-sciences/call-for-papers/special-issue-on-business-analytics-emerging-trends-and-chal 


We are living in a world characterized by an abundance of many different kinds of data. The importance of analyzing information contained therein has been already recognized by academia and practitioners. As a result, we have witnessed a rapidly growing number of products and solutions by the respective solution providers.

What is still missing, however, is an adequate interpretation and modeling of the ever growing data sets to create intelligent systems that are able to propose advanced solutions to complex problems.

As a consequence, this special issue aims at moving towards the next step and foster the development of advanced techniques coming from machine learning, artificial intelligence, uncertainty modeling, and data science, among others, to establish emerging trends in business analytics capable of facing the current challenges. In this special issue we understand the term “Business Analytics” in a rather broad sense, covering a spectrum of different application areas.

Topics relevant for this special issue include, but are not limited to:

  • Business Analytics for Financial Modeling
  • Forecasting
  • Human Resources (HR) Analytics
  • Healthcare Analytics
  • Learning Analytics
  • Fraud Detection and Cybersecurity
  • Privacy-preserving and ethics in Business Analytics

We place special emphasis on articles that contribute novel methodological developments to the before-mentioned areas identifying respective benefits for real-world applications.

Submission

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Submission via the journal website starts in December 2017. For additional questions, please contact the Guest Editors.

Important Dates:

  • December 1, 2017: Submission starts
  • March 30, 2018: Submission deadline
  • June 30, 2018: Notification of the first-round review
  • August 30, 2018: Revised submission due
  • January 30, 2019: Final notice of acceptance/reject
  • March 1, 2019: Receipt of final versions of accepted papers

Guest editors:

Cristián Bravo, Southampton University, UK
Email: c.bravo@soton.acuk

Emilio Carrizosa, Universidad de Sevilla, Spain
Email: ecarrizosa@us.es

Sebastián Maldonado, Universidad de los Andes, Chile
Email: smaldonado@uandes.cl

Richard Weber, Universidad de Chile, Chile
Email: rweber@dii.uchile.cl

EURASIP

 
SpringerOpen EURASIP Journals
 
 
 

The Editors-in-Chief of the 6 SpringerOpen EURASIP journals invite you to submit your next manuscript to their journals. They especially welcome submissions on the following hot topics in their journals’ fields.

 
 
 
 
 
  Hot topics picked by the Editors-in-Chief  
 
 
EURASIP Journal on Advances in Signal Processing
 
EURASIP Journal on Advances in Signal Processing
 
Editor-in-Chief: Geert Leus
Topics: Biomedical Signal Processing | Graph Signal Processing | Sparsity-Based Processing | Machine (Deep) Learning | Computational Imaging
 
EURASIP Journal on Wireless Communications and Networking
 
EURASIP Journal on Wireless Communications and Networking
 
Editor-in-Chief: Eduard Jorswieck
Topics: 5G and beyond 5G Networks | IoT Communications | Communications in Alternative Media | Signal Processing for Communications and Networks
 
 
 
 
 
 
EURASIP Journal on Audio, Speech, and Music Processing
 
EURASIP Journal on Audio, Speech, and Music Processing
 
Editor-in-Chief: Emanuël Habets
Topics: Acoustic Sensor Array Processing | Auditory Modeling | Acoustic Environments | Music Signal Processing | Dereverberation and Reverberation | Audio and Speech Source Separation/Signal Enhancement and Restoration
 
EURASIP Journal on Image and Video Processing
 
EURASIP Journal on Image and Video Processing
 
Editor-in-Chief: Jean-Luc Dugelay
Topics: Deep Learning in Image & Video Processing | Light Field Imaging | High-dynamic-range Imaging | Cross/Multi-sensor Image & Video Processing | Recent Advances in Image & Video Compression Standards                             
 
 
 
 
 
 
EURASIP Journal on Information Security
 
EURASIP Journal on Information Security
 
Editor-in-Chief: Fernando Pérez-González
Topics: Blockchain Technology in Signal Processing | Machine Learning for Security | Security for Machine Learning | Multimedia Forensics | Physical Layer Security
 
EURASIP Journal on Embedded Systems
 
EURASIP Journal on Embedded Systems
 

Editor-in-Chief: Leonel Sousa

Topics: Ultra-Low-Power Digital Signal Processors for IoT | Embedded Machine Learning | Lightweight Cryptography | Cyber Physical Embedded Architectures                           

 
 
 
 
Learn more here
 
 

TPNC 2017: call for posters

The 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2017) invites researchers to submit poster presentations. TPNC 2017 will be held in Prague on December 18-20, 2017. See 

http://grammars.grlmc.com/TPNC2017/

Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion.

TOPICS

Presentations displaying novel work in progress on computational principles, models and techniques inspired by information processing in nature are invited. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome.

KEY DATES

Poster submission deadline: November 11, 2017

Notification of poster acceptance or rejection: November 18, 2017

SUBMISSION

Please submit a .pdf abstract through:

https://easychair.org/conferences/?conf=tpnc2017

It should contain the title, author(s) and affiliation, and should not exceed 500 words.

PRESENTATION

Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion.

PUBLICATION

Posters will not appear in the LNCS proceedings volume of TPNC 2017. However, they will be eligible for submission to the post-conference journal special issue in BioSystems (Elsevier, 2015 JCR impact factor: 1.495).

REGISTRATION

At least one author of each accepted poster must register to the conference by December 4, 2017. The registration fare is reduced: 285 Euro. It gives the same rights all other conference participants have (attendance, copy of the proceedings volume, coffee breaks, lunches). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.

2nd CfP: ICAS 2018 || May 20 – 24, 2018 – Nice, France

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

– ICAS 2018, The Fourteenth International Conference on Autonomic and Autonomous Systems

The submission deadline is: January 3, 2018.

Conference proceedings are sent for indexing to ISI Thomson Reuters by Filodiritto/InFOROmatica Publisher, Italy

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org

=================

============== ICAS 2018 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

ICAS 2018, The Fourteenth International Conference on Autonomic and Autonomous Systems

General page: http://www.iaria.org/conferences2018/ICAS18.html

Submission page: http://www.iaria.org/conferences2018/SubmitICAS18.html

Event schedule: May 20 – 24, 2018 – Nice, France

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: January 3, 2018

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 term 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

ICAS 2018 Topics (for topics and submission details: see CfP on the site)

Call for Papers: http://www.iaria.org/conferences2018/CfPICAS18.html

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SELFTRENDS: Toward brain-like autonomic and autonomous systems

Adaptive robust resource allocation; Optimal self-organized collective actions; Collective adaptation; Active learning;  Opportunistic collaborative interactive learning; Adaption fairness; Social and biometric data-aware adaptation; Brain connectivity models;  Using unbalanced Datasets;  Quantum-inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self-organization in M2M infrastructures; Self-organizing socio-technical systems; Context-aware data self-adaptation; Multi-level loop encapsulation in smart systems; Uncertainty in self-adaptive systems; Adaptive Software defined systems (SDS) scalability; Adaptability in multi-tenant Clouds; Self-aware model-driven systems; Proactive self-adaptation; Self-adaptive urban traffic; Adaptive power profiling; Run-time for self-adaptive systems; Distributed adaptive systems; Self-improving system integration; Self-improving activity recognition systems; Feedback computing; Optimal feedback control; Dynamic adaptive applications; Self-managing Clouds;  Decentralized autonomic behavior; Market-adaptive trust;  Semantics of self-behavior;  Self-organizing patterns; Stability propagation in self-organizing systems; Inconsistency in self-deciding systems; Reasoning problems tractability; Decidability in self-organizing systems

ROBOTRENDS: Robot-related trends

Autonomous aquatic agents; Aerial autonomous robots; Drones control and management; Knowledge-based robot motions; Autonomous mobile robot interaction; Humanoid robots; Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust optimizations; Moral autonomous agents and human evolution; Cognitive robotics; Robot partnership; Affective communication robots; Human-centric robotics; Visually-impaired and robots; Evolutionary swarm robotics; Robots and human advices; Universal robot hands

SYSAT: Advances in system automation

Methods, techniques ant tools for automation features; Methodologies for automating of design systems; Industrial automation for production chains; Nonlinear optimization and automation control; Nonlinearities and system stabilization; Automation in safety systems; Structured uncertainty; Open and closed automation loops; Test systems automation; Theory on systems robustness; Fault-tolerant systems

UNMANNED: Driver-less cars and unmanned vehicles

Self-driving cars; Drones; Terrestrial unmanned vehicles; Unmanned aerial vehicles; Underwater unmanned vehicles; Unmanned sea surface vehicles; Collision control; Traffic surveillance challenges; Path planning and estimation; Communication between unmanned vehicles; Integration of unmanned aerial vehicles in civil airspace; Unmanned vehicular clusters; Designing unmanned vehicular-based systems; Safety of unmanned vehicles; Commercial and surveillance applications; Emergency applications; Legal aspects of unmanned vehicular systems; Testbeds and pilot experiments

AUTSY: Theory and Practice of Autonomous Systems

Design, implementation and deployment of autonomous systems; Frameworks and architectures for component and system autonomy; Design methodologies for autonomous systems; Composing autonomous systems; Formalisms and languages for autonomous systems; Logics and paradigms for autonomous systems; Ambient and real-time paradigms for autonomous systems; Delegation and trust in autonomous systems; Centralized and distributed autonomous systems; Collocation and interaction between autonomous and non-autonomous systems; Dependability in autonomous systems; Survivability and recovery in autonomous systems; Monitoring and control in autonomous systems; Performance and security in autonomous systems; Management of autonomous systems; Testing autonomous systems; Maintainability of autonomous systems

AWARE: Design and Deployment of Context-awareness Networks, Services and Applications

Context-aware fundamental concepts, mechanisms, and applications; Modeling context-aware systems; Specification and implementation of awareness behavioral contexts; Development and deployment of large-scale context-aware systems and subsystems; User awareness requirements and design techniques for interfaces and systems; Methodologies, metrics, tools, and experiments for specifying context-aware systems; Tools evaluations, Experiment evaluations
AUTONOMIC: Autonomic Computing: Design and Management of Self-behavioral Networks and Services

Theory, architectures, frameworks and practice of self-adaptive management mechanisms; Modeling and techniques for specifying self-ilities; Self-stabilization and dynamic stability criteria and mechanisms; Tools, languages and platforms for designing self-driven systems; Autonomic computing and GRID networking; Autonomic computing and proactive computing for autonomous systems; Practices, criteria and methods to implement, test, and evaluate industrial autonomic systems; Experiences with autonomic computing systems
CLOUD: Cloud computing and Virtualization

Hardware-as-a-service; Software-as-a-service [SaaS applicaitions]; Platform-as-service; On-demand computing models; Cloud Computing programming and application development; Scalability, discovery of services and data in Cloud computing infrastructures; Privacy, security, ownership and reliability issues; Performance and QoS; Dynamic resource provisioning; Power-efficiency and Cloud computing; Load balancing; Application streaming; Cloud SLAs, business models and pricing policies; Custom platforms; Large-scale compute infrastructures; Managing applications in the clouds; Data centers; Process in the clouds; Content and service distribution in Cloud computing infrastructures; Multiple applications can run on one computer (virtualization a la VMWare); Grid computing (multiple computers can be used to run one application); Virtualization platforms; Open virtualization format; Cloud-computing vendor governance and regulatory compliance

MCMAC: Monitoring, Control, and Management of Autonomous Self-aware and Context-aware Systems

Agent-based autonomous systems; Policy-driven self-awareness mechanisms and their applicability in autonomic systems; Autonomy in GRID networking and utility computing; Studies on autonomous industrial applications, services, and their developing environment; Prototypes, experimental systems, tools for autonomous systems, GRID middleware
CASES: Automation in specialized mobile environments

Theory, frameworks, mechanisms and case studies for satellite systems; Spatial/temporal constraints in satellites systems; Trajectory corrections, speed, and path accuracy in satellite systems; Mechanisms and case studies for nomadic code systems; Platforms for mobile agents and active mobile code; Performance in nomadic code systems; Case studies systems for mobile robot systems; Guidance in an a priori unknown environment; Coaching/learning techniques; Pose maintenance, and mapping; Sensing for autonomous vehicles; Planning for autonomous vehicles; Mobile networks, Ad hoc networks and self-reconfigurable networks

ALCOC: Algorithms and theory for control and computation

Control theory and specific characteristics; Types of computation theories; Tools for computation and control; Algorithms and data structures; Special algorithmic techniques; Algorithmic applications; Domain case studies; Technologies case studies for computation and control; Application-aware networking

MODEL: Modeling, virtualization, any-on-demand, MDA, SOA

Modeling techniques, tools, methodologies, languages; Model-driven architectures (MDA); Service-oriented architectures (SOA); Utility computing frameworks and fundamentals; Enabled applications through virtualization; Small-scale virtualization methodologies and techniques; Resource containers, physical resource multiplexing, and segmentation; Large-scale virtualization methodologies and techniques; Management of virtualized systems; Platforms, tools, environments, and case studies; Making virtualization real; On-demand utilities; Adaptive enterprise; Managing utility-based systems; Development environments, tools, prototypes

SELF: Self-adaptability and self-management of context-aware systems

Novel approaches to modeling and representing context adaptability, self-adaptability, and self-manageability; Models of computation for self-management context-aware systems; Use of MDA/MDD (Model Driven Architecture / Model Driven Development) for context-aware systems; Design methods for self-adaptable context-aware systems; Applications of advanced modeling languages to context self-adaptability; Methods for managing adding context to existing systems and context-conflict free systems; Architectures and middleware models for self-adaptable context-aware systems; Models of different adaptation and self-adaptation mechanisms (component-based adaptation approach, aspect oriented approach, etc.); System stability in the presence of context inconsistency; Learning and self-adaptability of context-aware systems; Business considerations and organizational modeling of self-adaptable context-aware systems; Performance evaluation of self-adaptable context-aware systems; Scalability of self-adaptable context-aware systems 
KUI: Knowledge-based user interface

Evolving intelligent user interface for WWW; User interface design in autonomic systems; Adaptive interfaces in a knowledge-based design; Knowledge-based support for the user interface design process; Built-in knowledge in adaptive user interfaces; Requirements for interface knowledge representation; Levels for knowledge-based user interface; User interface knowledge on the dynamic behavior; Support techniques for knowledge-based user interfaces; Intelligent user interface for real-time systems; Planning-based control of interface animation; Model-based user interface design; Knowledge-based user interface migration; Automated user interface requirements discovery for scientific computing; Knowledge-based user interface management systems; 3D User interface design; Task-oriented knowledge user interfaces; User-interfaces in a domestic environment; Centralised control in the home; User-interfaces for the elderly or disabled; User-interfaces for the visually, aurally, or mobility impaired; Interfacing with ambient intelligence systems; Assisted living interfaces; Interfaces for security/alarm systems

AMMO: Adaptive management and mobility

QoE and adaptation in mobile environments; Content marking and management (i.e. MPEG21); Adaptive coding (H.265, FEC schemes, etc.. ); Admission control resource allocation algorithms; Monitoring and feedback systems; Link adaptation mechanisms; Cross layer approaches; Adaptation protocols (with IMS and NGNs scenarios); QoE vs NQoS mapping systems; Congestion control mechanisms; Fairness issues (fair sharing, bandwidth allocation…); Optimization/management mechanisms (MOO, fuzzy logic, machine learning, etc.)

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