CIARP is a series of annual international conferences devoted to all aspects of pattern recognition, computer vision, artificial intelligence, data mining and related fields.

This conference will be a forum for the exchange of scientific results and experiences, as well as the sharing of new knowledge, and the increasing of the co-operation between research groups in pattern recognition and related areas.

This 26th edition is organized by ISEC (Coimbra Institute of Engineering) and supported by several scientific associations, including the International Association for Pattern Recognition (IAPR) and the Portuguese Association for Pattern Recognition (APRP).

Organization

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IFCS 2022 - 17th Conference of the International Federation of Classification Societies

19-23 July 2022

Porto, Portugal

https://ifcs2022.fep.up.pt/

• Full Paper Submission: January 15, 2022
• Abstracts Paper Submission: March 31, 2022

The 17th Conference of the International Federation of Classification Societies will take place in Porto, Portugal, on 19-23 July 2022. IFCS 2022 is a joint organization of the Portuguese Association for Classification and Data Analysis, CLAD, and the Faculty of Economics of the University of Porto, FEP-UP. The conference will feature keynote speakers, invited and contributed sessions, and organized streams on specific topics. Preceding the conference itself, tutorials on up-to-date fields will be organized on 23 July.

CONFERENCE CO-CHAIRS

• Paula Brito, Faculdade de Economia da Universidade do Porto, Portugal
• José G. Dias, Faculdade de Economia da Universidade do Porto, Portugal
• Angela Montanari, IFCS President
• Berthold Lausen, IFCS Past President

KEYNOTE SPEAKERS

• Charles Bouveyron, Université Côte d'Azur, France
• Diane Cook, Monash University, Australia
• João Gama, Faculdade de Economia da Universidade do Porto, Portugal

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ICPRAM 2022 – 11th International Conference on Pattern Recognition Applications and Methods

3-5 February 2022

Vienna, Austria

https://www.icpram.org

• Regular Paper Submission: September 14, 2021
• Position Paper Submission: October 29, 2021
• Doctoral Consortium Paper Submission: December 9, 2021
• Abstracts Paper Submission: December 9, 2021

The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

CONFERENCE AREAS

Each of the topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. THEORY AND METHODS
2. APPLICATIONS

AREA 1: THEORY AND METHODS

• Advanced Learning Methods
• Linear Models and Dimensionality Reduction
• Machine Learning Methods
• Model Representation and Selection
• Shape Representation
• Signal Processing
• Bayesian Models and Stochastic Methods
• Case-Based Reasoning
• Classification and Clustering
• Deep Learning and Neural Networks
• Ensemble Methods
• Evolutionary Computation
• Feature Selection and Extraction
• Knowledge Acquisition and Representation

AREA 2: APPLICATIONS

• Audio and Speech Analysis
• Motion Tracking and Action Recognition
• Natural Language Processing
• Robotics
• Sensors and Early Vision
• Virtual Environments
• Bioinformatics and Systems Biology
• Biometrics
• Data Mining and Algorithms for Big Data
• Document Analysis
• Image and Video Analysis and Understanding
• Industry Related Applications
• Information Retrieval
• Medical Imaging

CONFERENCE CHAIR

• Ana Fred, Instituto de Telecomunicações / IST, Portugal

PROGRAM CO-CHAIRS

• Maria De Marsico, Sapienza Università di Roma, Italy
• Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy

KEYNOTE SPEAKERS

• Mihaela van der Schaar, University of Cambridge, United Kingdom
• Krystian Mikolajczyk, Imperial College London, United Kingdom
• Tinne Tuytelaars, KU Leuven, Belgium
• Nicu Sebe, University of Trento, Italy

More information: Call for papers

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ICAART 2022 – 14th International Conference on Agents and Artificial Intelligence

3-5 February 2022

Vienna, Austria

https://www.icaart.org

• Regular Paper Submission: September 14, 2021
• Position Paper Submission: October 29, 2021
• Special Session Paper Submission: November 26, 2021
• Doctoral Consortium Paper Submission: December 9, 2021
• Abstract Submission: December 9, 2021

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.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of ICAART with an ISBN. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. AGENTS
2. ARTIFICIAL INTELLIGENCE

AREA 1: AGENTS

• Agent Communication and Languages
• Agent Models and Architectures
• Agent Oriented Software Engineering
• Autonomous Systems
• Cognitive Robotics
• Conversational Agents
• Distributed Problem Solving
• Economic Agent Models
• Emotional Intelligence
• Group Decision Making (with cooperation, coordination, negotiation, interaction protocols)
• Intelligent Auctions and Markets
• Mobile Agents
• Multi-Agent Systems
• Privacy, Safety, Security, and Ethical Issues
• Programming Environments and Agent Platforms
• Robot and Multi-Robot Systems
• Self Organizing Systems
• Simulation
• Swarm Intelligence and Collective Intelligence
• Task Planning and Execution
• Web Intelligence and Semantic Web

AREA 2: ARTIFICIAL INTELLIGENCE

• AI and Creativity
• Ambient Intelligence
• Bayesian Networks
• Big Data
• Case-Based Reasoning
• Cognitive Systems
• Constraint Satisfaction
• Data Mining
• Data Science
• Deep Learning
• e-Discovery
• Evolutionary Computing
• Explainable Artificial Intelligence
• Fuzzy Systems
• Hybrid Intelligent Systems
• Industrial Applications of AI
• Intelligence and Cybersecurity
• Intelligent User Interfaces
• Knowledge Representation and Reasoning
• Knowledge-Based Systems
• Legal Technologies
• Machine Learning
• Model-Based Reasoning
• Natural Language Processing
• Neural Networks
• Ontologies
• Planning and Scheduling
• Quantum Artificial Intelligence
• Social Network Analysis
• Soft Computing
• State Space Search
• Uncertainty in AI
• Vision and Perception
• Visualization
• CONFERENCE CHAIR
• Jaap van den Herik, Leiden University, Netherlands

PROGRAM CO-CHAIRS

• Ana Paula Rocha, LIACC / FEUP, Portugal
• Luc Steels, ICREA, Institute of Evolutionary Biology (UPF-CSIC) Barcelona, Spain

KEYNOTE SPEAKER

• Michael Beetz, University of Bremen, Germany

More information: Call for papers

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IC3K 2021 - International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management

The purpose of the IC3K is to bring together researchers, engineers and practitioners on the areas of Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K is composed of three co-located conferences, each specialized in at least one of the aforementioned main knowledge areas.

PUBLICATIONS

All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support. SCITEPRESS is a member of CrossRef (https://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier). The proceedings will be submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.

IMPORTANT DATES

Conference Date: 25 - 27 October, 2021

• Regular Papers
  • Paper Submission: May 18, 2021
  • Authors Notification: July 16, 2021
  • Camera Ready and Registration: July 30, 2021
• Position Papers
  • Paper Submission: June 25, 2021
  • Authors Notification: July 30, 2021
  • Camera Ready and Registration: September 7, 2021
• Workshops
  • Workshop Proposal: May 26, 2021
• Doctoral Consortium
  • Paper Submission: July 30, 2021
  • Authors Notification: September 13, 2021
  • Camera Ready and Registration: September 22, 2021
• Special Sessions
  • Special Session Proposal: May 26, 2021
• Tutorials
  • Tutorial Proposal: September 13, 2021
• Demos
  • Demo Proposal: September 13, 2021
• Panels
  • Panel Proposal: September 13, 2021

CONFERENCE CHAIR

Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal

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KDIR 2021 - International Conference on Knowledge Discovery and Information Retrieval

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

CONFERENCE TOPICS

• Machine Learning
• Deep Learning
• Neural Networks
• Information Extraction
• Context Discovery
• Business Intelligence Applications
• Statistical Methods
• Data Analytics
• Data Reduction and Quality Assessment
• Mining Multimedia Data
• Mining Text and Semi-Structured Data
• Pre-Processing and Post-Processing for Data Mining
• Web Mining
• Data Mining in Electronic Commerce
• Visual Data Mining and Data Visualization
• Knowledge Discovery in Databases
• Pattern Recognition
• Feature Selection
• Clustering and Classification Methods
• User Profiling and Recommender Systems
• BioInformatics & Pattern Discovery
• Collaborative Filtering
• Software Frameworks and Applications
• Natural Language Understanding
• Explainable AI

PUBLICATIONS

All accepted complete papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support. SCITEPRESS is a member of CrossRef (https://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier). The proceedings will be submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.

IMPORTANT DATES

Same as IC3K (check above)

CONFERENCE CHAIR

Joaquim Filipe, Polytechnic Institute of Setúbal / INSTICC, Portugal

PROGRAM CHAIR

Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal

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CIARP 25 - 25th Iberoamerican Congress on Pattern Recognition
10-13 May 2021
Porto, Portugal

In this edition, CIARP 25 will have two types of submission:

• Full papers

The full papers are extensive papers, similar to the papers submitted at previous CIARP congresses, should follow the Springer submission guidelines and will be allocated a standard oral presentation time slot. They will be published by Springer as Lecture Notes in Computer Science.

• Abstracts

Submitted abstracts will be included only in the CIARP 2021 abstract book (pdf version). The content of an abstract should be very brief and will be allocated either a short oral presentation or a poster presentation.

IMPORTANT DATES

• Submission of sessions proposals: January 15, 2021
• Submission of papers: January 31, 2021
• Notification of acceptance: March 15, 2021
• Conference: May 10-13, 2021

COMMITTEES

Conference Chairs

• João Manuel R.S. Tavares - Universidade do Porto, Portugal
• João Paulo Papa - Universidade Estadual Paulista, Brazil

Program Chair

• Manuel González-Hidalgo - University of the Balearic Islands, Spain

Aurora Pons Porrata Award Committee Chair

• Leila Maria Garcia Fonseca - National Institute for Space Research, São Paulo, Brazil

Local Committee

• André Pilastri, Universidade do Porto, Portugal
• Gonçalo Almeida, Universidade do Porto, Portugal
• Hugo Oliveira, Universidade do Porto, Portugal
• Jessica Demoral, Universidade do Porto, Portugal
• Zhen Ma, Universidade do Porto, Portugal
• Vahid Hajihashemi, Universidade do Porto, Portugal

More Information: https://ciarp25.org/

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Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

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ICIAR 2020 - 17th International Conference on Image Analysis and Recognition
24-26 June, 2020
Póvoa de Varzim, Portugal

DEADLINE: 20 January 2020

https://aimiconf.org/iciar20
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There has been major progress witnessed in the fields image and video processing, multi-media retrieval and indexing, pattern analysis and recognition. The International Conference on Image Analysis and Recognition has been a niche conference aiming at bringing together researchers and practitioners in the fields of Image and Video Processing, Image and Video Analysis and Pattern Recognition, using the latest tools of machine intelligence, connectionist modelling and statistical pattern analysis.

The conference addresses recent advances in theory, methodologies and applications. The scientific program includes invited talks by distinguished researchers in the field and fully refereed contributions that are published in the conference proceedings that have been published regularly by Springer in the Lecture Notes in Computer Science series.

The ICIAR series of conferences is organized annually, alternating between Europe and America.

Topics:

Image and Video Processing and Analysis
Image restoration and enhancement
Image and video segmentation
Mathematical morphology
Color, texture and motion analysis
3D image analysis
Tracking
Shape and matching
Real time imaging
Image and Video Coding
Still image and video coding
Image and video encryption
Image Retrieval and Indexing
Image and video databases
Image and video retrieval and indexing
Pattern Recognition Methods
Feature extraction and selection methods
Classification and Clustering techniques
Ensembles and multi-classifiers
Hybrid methods
Syntactical methods
Applications
Biomedical Imaging
Biometrics
Document Processing
Remote Sensing
Multimedia
Security Systems
Visual Inspection
Sports
Other applications
==============================================

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ICPRAM 2020 – 9th International Conference on Pattern Recognition Applications and Methods
22-24 February 2020
Valleta, Malta
Deadline for paper submission: 17 December 2019

https://www.icpram.org
=========================================

The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

CONFERENCE AREAS
1 . Theory and Methods
2 . Applications

CONFERENCE CHAIR
Ana Fred, Instituto de Telecomunicações / IST, Portugal

PROGRAM CO-CHAIRS
Maria De Marsico, Sapienza Università di Roma, Italy
Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy

KEYNOTE SPEAKERS
Andrea Cavallaro, Queen Mary University of London, United Kingdom
Cristina Conati, University of British Columbia, Canada
Max Welling, University of Amsterdam, Netherlands

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ICAART 2020 – 12th International Conference on Agents and Artificial Intelligence
22-24 February 2020
Valleta, Malta
Deadline for paper submission: 4 October 2019

https://www.icaart.org
=========================================

The ICAART Conference (The 11th International Conference on Agents and Artificial Intelligence) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 19 to 21 of February 2019 in Prague, Czech Republic.

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.

CONFERENCE AREAS
1 . Agents
2 . Artificial Intelligence

CONFERENCE CHAIR
Jaap van den Herik, Leiden University, Netherlands

PROGRAM CO-CHAIRS
Ana Rocha, LIACC / FEUP, Portugal
Luc Steels, ICREA, Institute of Evolutionary Biology (UPF-CSIC) Barcelona, Spain

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IAPR IbPRIA 2019
9th Iberian Conference on Pattern Recognition and Image Analysis
July 1-4, 2019
Madrid, SPAIN
http://www.ibpria.org/2019/
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IbPRIA is a single track conference consisting of high quality, previously unpublished papers, presented either orally or as a poster, intended to act as a forum for research groups, engineers and practitioners to present recent results, algorithmic improvements and promising future directions in pattern recognition and image analysis.
IbPRIA is endorsed by the IAPR, the International Association for Pattern Recognition, and it is organized by the IAPR Spanish and Portuguese chapters: AERFAI and APRP, respectively.

=========================
AWARDS and SPECIAL ISSUES
=========================
IAPR Best Student paper award (+ additional honorable mention), AERFAI PhD Award 2018-2019, and APRP PhD Award 2017-2018. A Special Section with extended versions of the awarded papers will be published in Pattern Recognition Letters.

==================
KEYNOTE SPEAKERS
==================
- Andrew Fitzgibbon on "Practical Computer Vision"
- Matti Pietikainen on "Multimodal Emotional Interfaces"
- Vittorio Ferrari on "Computer Vision"
- Nuria Oliver on "Human Behavior and Mobile Data"

==========================
TUTORIALS (including hands-on)
==========================
- Gael Varoquaux on "Practical Machine Learning with scikit-learn"
- Agata Lapedriza on "Computer Vision for Affective Computing"
- Daniel Hernandez-Lobato on "Machine Learning and Bayesian Optimization"

===================
TECHNICAL PROGRAM
===================
The program will feature various panel discussions and targeted sessions on industry-academia cooperation and research funding opportunities.

================
SOCIAL PROGRAM
================
IbPRIA 2019 also features a delightful social program in Madrid, a major, modern and historical European city, well known for its social activity, and the appeal of its Mediterranean gastronomy and lifestyle.
To get a sense of what IbPRIA 2019 is planned to be in Madrid: https://bit.ly/2N8E6J1

=============
REGISTRATION
=============
Early registration fees are between 175 EUR (students) to 325 EUR (Authors), and a Full Registration covers up to 3 papers.

================
IMPORTANT DATES (final deadline extension!)
================
May 6, 2019 - Submission of abstracts
May 10, 2019 - Submission of papers
May 24, 2019 - Notification of acceptance
May 30, 2019 - Camera-ready
May 30, 2019 - Early registration
July 1-4, 2019 - Conference

KDIR is part of IC3K, the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
17-19 SEPTEMBER 2019
VIENNA, AUSTRIA

https://www.kdir.ic3k.org/

UPCOMING DEADLINES
Regular Paper Submission: April 29, 2019
Regular Paper Authors Notification: June 28, 2019
Regular Paper Camera Ready and Registration: July 12, 2019

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

*********************************************************************

Call for Participation

The seventh edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 4 and 12, July 2019, at Universidade Portucalense (UPT), in Porto - Portugal.

This year the following topics will be covered:

1.      Computer Vision & Machine Learning Basics
2.      Computer Vision with Deep Learning
3.      Interpretability
4.      Deep Generative Models
5.      Reinforcement Learning
6.      Constraint Programming and Decision Optimization

World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project. Participants can request 2 ECTS given by UPT!

Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning.

The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics.

Prizes
1.      For the winning team of the Project
2.      For the winning team who solve the challenges of the Industry Day

Application deadline: 22 March 2019

Please send an email to visum@inesctec.pt to be eligible to apply to the VISUM summer school 2019

Intended audience
In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore:
1.      MSc and PhD students
2.      Researchers and Post-doctoral scholars
3.      Industry professionals

Social Program:
Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You’ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we’ll tour the city and check some of its coolest spots.

List of invited speakers:
Jose Costa Pereira, Huawei Technologies Co., Ltd, UK
Efstratios Gavves, UVA, NL
Mauricio Reyes, University of Bern, CH
Dinesh Jayaraman, UC Berkeley, USA
Mohamed Elhoseiny, KAUST, SA
Deepak Mehta, United Technologies Research Cente, Irland

Industry panel:
Bosch, PT
Abyssal, PT
NILG.AI, PT

NOTE: the completed list of speakers and industrial panel will be revealed soon!

Parternship:
We encourage students to participant in Future Computing Summer School

(https://futurecomp.uptec.up.pt/) for an incredible talk of NVIDIA about parallel computing.

Website

visum.inesctec.pt

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***************************************************************************************
CALL FOR PAPERS
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10th International Conference on Pattern Recognition Systems (ICPRS-19)

8-10 July 2019, Tours, France
DEADLINE: 27 March 2019

http://www.icprs.org

The 10th International Conference on Pattern Recognition Systems
(ICPRS-19) is an annual event that follows ICPRS-18, ICPRS-17 and
ICPRS-16, a continuation of the successful Chilean Conference on Pattern
Recognition that reached its 6th edition in 2014. In 2019 it is
organised by the Université de Tours (France) and the Chilean
Association for Pattern Recognition (ACHiRP, a member of the IAPR) and
it is endorsed by the IAPR and sponsored by the Vision and Imaging
Professional Network of the Institution of Engineering and Technology
(IET), who will publish its proceedings (provided that at least one
author registers and presents the work at the conference). Papers deemed
to be of the required standard and presented at the conference, will be
indexed by INSPEC and, normally through it, IEEE Xplore and Scopus. All
paper submissions need to be submitted via Conftool to be peer-reviewed
by an international panel of experts. Excellent papers will be
encouraged to submit extended versions for consideration in JCR-indexed
journals (IET’s Biometrics, Computer Vision and Image Processing
journals). For more information, please see https://www.icprs.org. There
will be a good set of keynote talks.

Call for Papers
Prospective authors are invited to submit papers describing novel and
previously unpublished results on topics including, but not limited to:
• Artificial Intelligence Techniques in Pattern Recognition
• Bioinformatics Clustering
• Biometrics (including face recognition)
• Computer Vision
• Data Mining and Big Data
• Deep Learning and Neural Networks for Pattern Recognition
• Document Processing and Recognition
• Fuzzy and Hybrid Techniques in PR
• High Performance Computing for Pattern Recognition
• Image Processing and Analysis
• Kernel Machines
• Mathematical Morphology
• Mathematical Theory of Pattern Recognition
• Medical Image Processing and Analysis
• Natural Language Processing and Recognition
• Object Detection, Tracking and Recognition
• Pattern Recognition Principles
• Pattern Recognition for optimization
• Real Systems, Applications and Case Studies of Pattern
Recognition (e.g. health, environment, weather prediction, natural
disasters, transportation, etc.)
• Robotics
• Remote Sensing
• Shape and Texture Analysis
• Signal Processing and Analysis
• Social Media and HCI
• Statistical Pattern Recognition
• Syntactical and Structural Pattern Recognition
• Time series prediction
• Voice and Speech Recognition

Key Dates
Paper Submission Deadline: 27th March 2019 (camera ready, min 4-
max 6 pages)
Notification of acceptance: 24th April 2019

Camera-ready papers: 12th May 2019

--

ICPRAM 2019 – 8th International Conference on Pattern Recognition Applications and Methods
https://www.icpram.org

The ICPRAM Conference (The 8th International Conference on Pattern Recognition Applications and Methods) will take place from 19 to 21 of February 2019 in Prague, Czech Republic.

The International Conference on Pattern Recognition Applications and Methods would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

CONFERENCE AREAS
1 . Theory and Methods
2 . Applications

CONFERENCE CHAIR
Ana Fred, Instituto de Telecomunicações / IST, Portugal

PROGRAM CO-CHAIRS
Maria De Marsico, Sapienza Università di Roma, Italy
Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy

LOCAL CHAIR
Michal Haindl, Institute of Information Theory and Automation, Czech Republic

KEYNOTE SPEAKERS
Linda G. Shapiro, University of Washington, United States
Bram van Ginneken, Radboud University Medical Center, Netherlands
Michal Irani, Weizmann Institute of Science, Israel
Davide Maltoni, University of Bologna, Italy

ICAART 2019 – 11th International Conference on Agents and Artificial Intelligence

https://www.icaart.org

The ICAART Conference (The 11th International Conference on Agents and Artificial Intelligence) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 19 to 21 of February 2019 in Prague, Czech Republic.

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.

CONFERENCE AREAS
1 . Agents
2 . Artificial Intelligence

CONFERENCE CHAIR
Jaap van den Herik, Leiden University, Netherlands

PROGRAM CO-CHAIRS
Ana Paula Rocha, LIACC / FEUP, Portugal
Luc Steels, ICREA, Institute of Evolutionary Biology (UPF-CSIC) Barcelona, Spain

KEYNOTE SPEAKERS
Penousal Machado, University of Coimbra, Portugal
Carla P. Gomes, Cornell University, United States
Michal Pechoucek, Czech Technical University in Prague, Czech Republic

10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 18-20 September, 2018, Seville, Spain

https://www.kdir.ic3k.org

Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from data, often based on underlying large data sets. A major aspect of Knowledge Discovery is data mining, i.e. applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data. Knowledge Discovery also includes the evaluation of patterns and identification of which add to knowledge. Information retrieval (IR) is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. Automation of information retrieval enables the reduction of what has been called "information overload". Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets.

VISUM - Vision Understanding and Machine Intelligence Summer School

The sixth edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 5 and 13, July 2018, in Porto - Portugal. This year the following topics will be covered:

1. Computer Vision and Machine Learning
2. Affective Computing
3. Deep Learning
4. Statistical Shape Modelling
5. Human Behaviour Analysis
6. Brain Image Analysis

World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project.

Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning.

The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics.

Application deadline: 23 February 2018

Intended audience

In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore:

1. MSc and PhD students
2. Researchers and Post-doctoral scholars
3. Industry professionals

Social Program

Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You’ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we’ll tour the city and check some of its coolest spots.

List of invited speakers

Alejandro Frangi, University of Sheffield, UK
Björn W. Schuller, University of Augsburg, DE
Michel Valstar, University of Nottingham, UK
Jaime S. Cardoso, University of Porto, PT
Luís Teixeira, University of Porto, PT

Industry panel

IBM Research AI, IBM T. J. Watson Research Center / by John R. Smith, USA
Bosch / by to be announced
Tecnalia / by Thierry Keller, ES
Neadvance / by Manuel João Ferreira, PT
CardioID / by André Lourenço, PT

Website
visum.inesctec.pt

ICPRAM 2018 – 7th International Conference on Pattern Recognition Applications and Methods 

The ICPRAM Conference (The 7th International Conference on Pattern Recognition Applications and Methods) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 16 to 18 of January 2018 in Funchal, Madeira, Portugal.

The ICPRAM would like to become a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition, both from theoretical and application perspectives.

One of the most important contributions that ICPRAM brings about is the creation of a high level forum in collaboration with the most prestigious internationally recognized experts, including names such as Ana Fred (Instituto de Telecomunicações / IST, Portugal) as a Conference Chair and Maria De Marsico (Sapienza Università di Roma, Italy) and Gabriella Sanniti di Baja (ICAR-CNR, Italy) as a Program Co-Chairs.

As in previous editions, ICPRAM 2018 will have several invited keynote speakers, who are internationally recognized experts in their areas. At this time, we have confirmed the participation of the following keynote lectures:

• Rita Cucchiara, University of Modena and Reggio Emilia, Italy;

• Edwin Hancock, York University, United Kingdom;

• Xiaoyi Jiang, University of Münster, Germany;

• Alfred Bruckstein, Technion, Israel.

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef (https://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.

ICAART 2018 – 10th International Conference on Agents and Artificial Intelligence

 The ICAART Conference (The 10th International Conference on Agents and Artificial Intelligence) organized by INSTICC (Institute for Systems and Technologies of Information, Control and Communication) will take place from 16 to 18 of January 2018 in Funchal, Madeira, Portugal.

The purpose of ICAART is to bring together researchers, engineers and practitioners interested in the theory and applications in the areas of Agents and Artificial Intelligence. This conference welcomes original papers of either practical or theoretical nature, presenting research or applications, of specialized or interdisciplinary nature, addressing any aspect of Agents and Artificial Intelligence.

One of the most important contributions that ICAART brings about is the creation of a high level forum in collaboration with the most prestigious internationally recognized experts, including names such as Jaap van den Herik (Leiden University, Netherlands) as a Conference Chair and Ana Paula Rocha (LIACC-NIAD&R / FEUP, Portugal) as a Program Co-Chair.

As in previous editions, ICAART 2018 will have several invited keynote speakers, who are internationally recognized experts in their areas. At this time, we have confirmed the participation of the following keynote lectures:

- Luc Steels (Vrije Universiteit Brussel, Belgium;

- Virginia Dignum (Delft University of Technology, Netherlands);

- Eduard Hovy, Carnegie Mellon University, United States

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef (https://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.