MaDICS

1-st Call for Participation – SimpleText Track @ CLEF-2022

Apr 22 all-day

Date : 2022-04-22

Context
The web and social media have democratized information sharing and have become the main source of information for citizens, risking users to rely on shallow information in sources prioritizing commercial or political incentives rather than the correctness and informational value. Non-experts tend to avoid scientific literature due to its complex language, internal vernacular, or their lack of prior background knowledge. Text simplification approaches hold the promise to remove some of these barriers. The SimpleText track is a part of the CLEF initiative which promotes the systematic evaluation of information access systems, primarily through experimentation on shared tasks. SimpleText addresses the challenges of text simplification approaches in the context of promoting scientific information access, by providing appropriate data and benchmarks. The track uses a corpus of scientific literature abstracts and popular science requests. It features three tasks.

Tasks
We invite you to submit both automatic and manual runs! Manual intervention should be reported.

* Task 1: What is in (or out)? Select passages to include in a simplified summary, given a query.

* Task 2: What is unclear? Given a passage and a query, rank terms/concepts that are required to be explained for understanding this passage (definitions, context, applications,..).

* Task 3: Rewrite this! Given a query, simplify passages from scientific abstracts.

* In addition, we welcome any other type of submission that uses our data as an open task.

How to participate
In order to participate, you should sign up at the CLEF website (https://clef2022-labs-registration.dei.unipd.it/). All team members should join the SimpleText mailing list (https://groups.google.com/g/simpletext). The data will be made available to all registered participants.

Deadlines

*Data release: February 2022

*Final guidelines: March 2022

*Run submission: 22 April 2022

*Results available: 6 May 2022

*Draft paper submission: 27 May 2022

*Camera-ready: 1 July 2022

*CLEF conference: 5-8 September 2022

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1st call-for-participation JOKER@CLEF: Automatic Wordplay and Humour Translation Task

Apr 22 all-day

Date : 2022-04-22

Deadlines

Data & guidelines release: February – March 2022

Run submission: 22 April 2022

Draft paper submission: 27 May 2022

CLEF conference: 5–8 September 2022

Context

Humour remains one of the most difficult aspects of intercultural communication: understanding humour often requires understanding implicit cultural references and/or double meanings, and this raises the question of its (un)translatability. Wordplay is a common source of humour due to its attention-getting and subversive character. The translation of humour and wordplay is therefore in high demand. Modern translation depends heavily on technological aids, yet few works have treated the automation of humour and wordplay translation, or the creation of humour corpora. The goal of the JOKER workshop is to bring together translators and computer scientists to work on an evaluation framework for wordplay, including data and metric development, and to foster work on automatic methods for wordplay translation.

Tasks

We invite you to submit both automatic and manual runs! Manual intervention should be reported.

Task 1: Сlassify and explain instances of wordplay.

Task 2: Translate single words containing wordplay.

Task 3: Translate entire phrases containing wordplay.

Unshared task: We welcome any other type of submission that uses our data as an open task.

How to participate
Sign up at the CLEF website (https://clef2022-labs-registration.dei.unipd.it/). All team members should join the JOKER mailing list (https://groups.google.com/u/4/g/joker-project). The data will be made available to all registered participants.

Contacts

JOKER website: http://joker-project.com/

CLEF website:
https://clef2022.clef-initiative.eu/index.php

Registration: https://clef2022-labs-registration.dei.unipd.it/

Email: contact@joker-project.com

Twitter: https://twitter.com/joker_research

Google Group: https://groups.google.com/u/4/g/joker-project

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Categories: Conferences

Discovery Science 2022

Apr 22 all-day

Date : 2022-04-22
Lieu : Montpellier, France

The 25th International Conference on Discovery Science (DS 2022)

https://ds2022.sciencesconf.org/

Montpellier, France, October, 10-12, 2022

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COVID-19
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We hope that by October the world will have returned to normality and we can welcome you in Montpellier. However, in case the COVID-19 risk persists and traveling is difficult, DS 2022 will take place either as a mixed event by offering both remote and on site presentation options or as a fully online event in the worst case. The accepted papers will still be published by Springer and the special issue will proceed as announced. In these challenging times that the whole of humanity is going through, we hope that all of you are safe and remain healthy.

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::: Scope :::
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The 25th International Conference on Discovery Science (DS 2022) provides an open forum for
intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains.

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::: Submission Topics :::
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We invite submissions of research papers addressing all aspects of discovery science: papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We would also like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics.
We particularly welcome papers addressing applications from different domains of science including biomedicine and life sciences, astronomy, physics, chemistry, as well as social sciences. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to:

Knowledge discovery, machine learning and statistical methods
Ubiquitous Knowledge Discovery
Data Streams, Evolving Data and Models
Change Detection and Model Maintenance
Active Knowledge Discovery
Information extraction from scientific literature
Knowledge discovery from heterogeneous, unstructured and multimedia data
Data and knowledge visualization
Planning to Learn
Knowledge Transfer
Computational Creativity
Human-machine interaction for knowledge discovery and management
Evaluation of models and predictions in discovery setting
Causality modelling
AutoML, meta-learning, planning to learn
Explainable AI, interpretability of machine learning and deep learning models
Learning from complex data
Graphs, networks, linked and relational data
Spatial, temporal and spatiotemporal data
Unstructured data, including textual and web data
Multimedia data
AI frameworks for discovery in scientific domains
Biomedical knowledge discovery, analysis of (multi)omics, micro-array, gene deletion, gene set enrichment data
Machine Learning for High-Performance Computing, Grid and Cloud Computing
Applications of the above techniques in scientific domains, such as
Physical sciences (e.g., materials sciences, particle physics)
Life sciences (e.g., systems biology/systems medicine)
Environmental sciences
Life Sciences
Natural and social sciences

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::: Publishing :::
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Traditionally the proceedings of DS series appear in the Lecture Notes in Artificial Intelligence Series by Springer-Verlag. In addition, authors of best papers will be invited to submit their extended versions to a special issue on Discovery Science of the Machine Learning journal published by Springer. Fast Track Processing will be used to have them reviewed and published.

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::: IMPORTANT DATES :::
***********************************
Abstract submission: May 23, 2022
Full paper submission: May 30, 2022
Notification: July 20, 2022
Camera ready version, author registration: August 8, 2022
Conference: October 10-12, 2022

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::: Submission guidelines :::
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Regular research papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. The Program Committee reserves the right to offer acceptance as Short Papers (10 pages in the Proceedings) to some submissions. The reviews are single-blind. You do not need to anonymize your submission.
Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2022 review process.
We encourage all authors to include their individual ORCID in their address information.
Authors can submit their regular papers via our submission page through Easychair:

https://easychair.org/my/login_author?sum=073323801fd3b7125c2b6cc57ecf0a6f;conference=267691

Authors of accepted papers must submit along with the final version of their paper a consent to publish, filled and signed. Authors of accepted papers are expected to register to the conference and present their work (see author registration date).

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Special issue and Best Student Paper Award
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The authors of a number of selected papers presented at DS 2022 will be invited to submit extended versions of their papers for possible inclusion in a special issue of Machine Learning journal (published by Springer) on Discovery Science. Fast-track processing will be used to have them reviewed and published.
There will be an award for the Best Student Paper in the value of 555 Euro sponsored by Springer.

Dino Ienco (PC Co-Chairs DS)
Pascal Poncelet (PC Co-Chairs DS)
Sašo Džeroski (General Chair DS)

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Categories: Conferences

Journée d’étude Mots/Machines #4: Simplification et adaptation du texte

Apr 22 all-day

Date : 2022-04-22
Lieu : Université de Bretagne Occidentale

20, rue Duquesne – CS9383729238

Brest Cedex 3, France

La simplification de textes est utilisée dans les domaines de la traduction,la localisation et la rédaction technique. La pré-édition consiste à préparer un document avant d’appliquer la traduction automatique afin d’obtenir de meilleurs résultats et de réduire la charge de travail de post-édition. C’est devenu un choix courant pour les entreprises publiant leur contenu dans différentes langues.

En outre, la simplification du texte améliore les applications de traitement automatique de la langue naturelle, notamment les résultats de la traduction automatique. Ainsi, la simplification automatique de textes pourrait s’avérer utile dans divers domaines tels que la communication scientifique, le journalisme scientifique, la politique et l’éducation, tant pour les cours de sciences que pour la didactique. La vulgarisation scientifique et le journalisme scientifique sont d’ailleurs l’un des plus anciens programmes de l’UNESCO.

Les textes simplifiés sont également plus accessibles aux locuteurs non natifs, aux jeunes lecteurs, aux personnes souffrant d’un handicap de lecture ou ayant un niveau d’éducation inférieur (objectif de développement durable INÉGALITÉ RÉDUITE).

Les textes scientifiques, tels que les publications de recherche, peuvent être difficiles à comprendre pour les non-experts du domaine ou les scientifiques qui ne sont pas concernés par la publication. L’amélioration de la compréhensibilité des textes et leur adaptation à différents publics restent un problème non résolu. La simplification de textes est un pas en avant vers la recherche réellement ouverte, accessible et compréhensible par tous, le développement d’un contre-discours aux fake news basées sur des résultats scientifiques, la possibilité s de lire plus rapidement et par conséquent, de devenir mieux informé.e sur les résultats scientifiques, notamment avec l’explosion de la science ouverte depuis le début de la pandémie actuelle de COVID-19 (objectif de développement durable ÉDUCATION DE QUALITÉ).

L’objectif de cette journée d’étude est de fournir une plateforme de communication à une communauté interdisciplinaire de chercheurs en traduction, rédaction technique, traitement du langage naturel, recherche d’information, linguistique, didactique, journalisme scientifique et vulgarisation scientifique.

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Categories: Conferences SimpleText

Application of Reasoning on Complex and Evolving Data: Methods and Use-Cases

May 2 – May 3 all-day

Annonce en lien avec l’Action/le Réseau : RoCED

Thème :

workshop associated to The Knowledge Graph Conference (KGC) 2022

Présentation :

In this workshop, we seek contributions describing methods and uses-cases that rely on the application of reasoning and machine learning on complex, uncertain and evolving knowledge graphs. These contributions can be applied to different domains such as smart cities, smart health, smart farming, digital humanities and automation of business processes.

Du : 2022-05-02

Au : 2022-05-02

Lieu : virtual workshop. The conference is located at new york, USA

Site Web : https://www.knowledgegraph.tech/kgc-2022-program/

Categories: RoCED ·Journées

CfP – RCIS 2022

May 17 – May 20 all-day

Date : 2022-05-17 => 2022-05-20
Lieu : Barcelona, Spain

RCIS aims to bring together scientists, researchers, engineers, and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination.
The special theme of RCIS 2022 is ***Ethics and Trustworthiness in Information Science***.

SUBMISSION OF CONTRIBUTIONS
https://www.easychair.org/conferences/?conf=rcis2022

SUBMISSION DATES

Abstract for Main Track and Forum: January 15, 2022
Paper for Main Track, Forum and DC: January 22, 2022
Tutorial Proposal: March 1, 2022
Research Project | Workshop paper: March 18, 2022

CALLS
The detailed calls for contributions to different tracks are available online:

Main conference track: http://www.rcis-conf.com/rcis2022/callPapers.php/
Forum: https://www.rcis-conf.com/rcis2022/callForum.php
Doctoral consortium: https://www.rcis-conf.com/rcis2022/callDoctoral.php
Tutorials: https://www.rcis-conf.com/rcis2022/tutorials.php
Research Projects: https://www.rcis-conf.com/rcis2022/researchProjects.php

CONFERENCE ORGANIZATION
General Chair: Xavier Franch, Universitat Politècnica de Catalunya, Spain

Program Committee Chairs:
Renata Guizzardi, University of Twente, The Netherlands
Jolita Ralyté, University of Geneva, Switzerland

Forum Chairs:
Marcela Ruiz, Zurich University of Applied Sciences, Switzerland
Estefania Serral, Katholieke Universiteit Leuven, Belgium

Doctoral Consortium Chairs:
Marko Bajec, University of Ljubljana, Slovenia
Andreas L. Opdahl, University of Bergen, Norway

Tutorial Chairs
Paola Spoletini, Kennesaw State University, USA
Cinzia Cappiello, Politecnico di Milano, Italy

Research Projects Chairs
Alessandra Bagnato, Softeam, France
Lidia López, Barcelona Supercomputing Center, Spain

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Categories: Conferences DOING

Wed

Call For Papers: GRAPH-QUALITY Workshop Co-located with ECML-PKDD, 23 September 2022

May 18 – Jun 1 all-day

Date : 2022-05-18 => 2022-06-01
Lieu : Grenoble, France

Call For Papers: GRAPH-QUALITY Workshop Co-located with ECML-PKDD, 23 September 2022

https://graphquality.github.io/

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[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP)]

The GRAPH-QUALITY Workshop at ECML-PKDD 2022 aims to explore the theoretical and practical aspects of quality of data, models and evaluation in the context of graph-based data mining and machine learning. We invite contributions in the area of Data and Model Quality for Mining and Learning with relational data (measures, algorithms, models, tools, evaluations, etc.) to be presented at the GRAPH-QUALITY workshop which is to be held at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), in Grenoble, France – 23 September 2022.

Topics of interests

Anomaly detection on graphs
Assessment of fairness and bias in the context of graphs, graph models (including representations), and subsequent tasks such as link prediction
Explainable graph models and predictions
Graph models and representations learning in the context of missing data and noise
Privacy preserving data mining and machine learning for relational data
Probabilistic methods and uncertainty estimation on networks
Algorithms and metrics for quality preservation on relational data

Submission Information

All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):

Novel research papers
Work-in-progress papers
Vision and position papers
Appraisal papers of existing methods and tools (e.g., evaluations, lessons learned)

Authors should indicate in their abstract the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English and formatted according to the single-column CEUR-ART style (downloadable at http://ceur-ws.org/Vol-XXX/CEURART.zip). Novel research papers should be 10 to 16 pages (including references), work-in-progress, vision/position, and appraisal papers should be 6-10 pages (including references). Accepted papers will be presented as a poster in the poster sessions and a few will be selected to also give an oral presentation.

Authors may opt-in to have their paper possibly published in workshop proceedings at CEUR-WS. All papers will be posted on the workshop website. The proceedings containing the opt-in papers will be submitted for inclusion to CEUR-WS. Assuming a sufficient number of high-quality papers, the proceedings are likely to be accepted, but conforming to CEUR-WS policy it cannot guarantee beforehand that the proceedings will indeed be published. Papers in the CEUR-WS series are published Open Access, without fee, under the CC-BY 4.0 licence (exceptions for Crown or US government employees). You as the author remain to hold the copyright.

For accepted papers, at least one author must register for the conference and attend the workshop in-person to present the work.

Submit via EasyChair: https://easychair.org/my/conference?conf=graphquality2022

Important Dates

Submission: June 20, 2022

Notification: July 18, 2022

Early registration deadline for the conference: July 22, 2022

Camera-ready: August 12, 2022

Programme and papers online: Monday 5 Sep 2022

Workshop date: September 23, 2022

Futher information and Contact

Organizers: Nidhi Hegde, Christine Largeron, Jefrey Lijffijt, Osmar R. Zaïane

Website URL: https://graphquality.github.io/

E-mail: graphquality22@gmail.com

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Categories: Conferences

Fri

[CFP] SimpleText@CLEF: Automatic Simplification of Scientific Texts

May 27 all-day

Date : 2022-05-27

Submission site : https://easychair.org/conferences/?conf=clef2022 (track SimpleText)
CEUR-WS templates (both Word and LaTex):

Submission deadline: 27 May 2022 (AoE)
Notification of Acceptance: 13 June 2022
Camera Ready: 1 July 2022
CLEF conference: 5 – 8 September 2022, Bologna – Italy

Being science literate is an important ability for people. It is one of the keys for critical thinking, objective decision-making and judgment of the validity and significance of findings and arguments, which allows discerning facts from fiction. However, scientific texts are often hard to understand as they require solid background knowledge and use tricky terminology. Although there were some recent efforts on text simplification, removing such understanding barriers between scientific texts and general public in an automatic manner is still an open challenge. SimpleText brings together researchers and practitioners working on the generation of simplified summaries of scientific texts. All perspectives on automatic science popularisation are welcome, including but not limited to: Natural Language Processing (NLP), Information Retrieval (IR), Linguistics, Scientific Journalism, etc.

We accept the following types of submissions:
– Regular papers of 10-12 standard pages length with an appropriate number of references.
– Short papers of 5-6 standard pages length with additional pages for references.
– Extended abstracts of 500-1000 words with bibliographic references. Bibliographic references are excluded from word count. Previously published papers can be accepted as extended abstracts (please, provide a reference to your previous work in this case).

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Categories: Conferences SimpleText

Summer school: IA for EO For PhD or young researchers – no registration fees

May 30 – Jun 3 all-day

Date : 2022-05-30 => 2022-07-29
Lieu : Online

During the Inn’EO Summer School, attendees (PhD students and young researchers) will develop new skills both in excellence (modern EO applications using machine and deep learning techniques) and soft skills that are useful for employability out of academics, while it can also useful in academic jobs. The program is divided into different sessions: lectures, working sessions, meetings with stakeholders, teachers and coaches from industry.

Inn’EO Summer School will be held from the 25th to the 29th July, 2022 (25 hours). The 2nd Inn’EO School will take place online.
DEADLINE TO APPLY: 15 of April, 2022
Call for application at https://inneospace.eu/wp-content/uploads/2022/03/InnEO-Summer-School-2022-Call-for-participation.pdf

InnEO Space PhD Project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement nº101006275.

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Categories: Conferences MACLEAN

Training on Entrepreneurship

May 30 – Jun 3 all-day

Date : 2022-05-30 => 2022-06-03
Lieu : Online

The Inn’EO Startech module aims at coaching PhD students and young researchers towards the spirit of innovation by putting them in a leadership position where they will have to act as a project manager to make one of their ideas a marketable prototype/product/project. Students will be put in the shoes of an entrepreneur and will develop skills that are useful when developing new projects, new research directions, new applications, or new companies.

Inn’EO Startech will be held from the 30th of May to the 3rd of June 2022 (25 hours). It will take place online with the InnEO e-learning platform. There is also the possibility to follow the training in physical in Toulouse France (Erasmus+).
DEADLINE TO APPLY: 15 of April, 2022
Call for application at https://inneospace.eu/wp-content/uploads/2022/03/InnEO-Startech-2022-Call-for-participation.pdf

InnEO Space PhD Project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement nº101006275.

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Categories: Conferences MACLEAN

Tue

Appel à contribution atelier “Evolution des SI : vers des SI Pervasifs ? De l’intelligence à la résilience”

May 31 all-day

Date : 2022-05-31
Lieu : Conférence Inforsid, Dijon, France

Atelier
” Evolution des SI : vers des SI Pervasifs ? ”
3ème édition
De l’intelligence à la résilience

https://evolution-si.sciencesconf.org

Les Systèmes d’Informations sont constamment en train d’évoluer, notamment par l’intégration de nouvelles technologies telles que le comme le Machine Learning, l’IoT, les microservices, le Cloud Computing et le Fog/Edge Computing, mais également par des nouveaux usages et nouvelles pratiques. Ces systèmes deviennent ainsi ouverts sur le monde, n’étant plus limités aux seules frontières de l’organisation. Ils sont disponibles partout, ils accompagnent leurs
collaborateurs et clients où qu’ils soient et à tout moment, s’intègrent dans l’environnement physique, interagissent avec d’autres systèmes. On peut désormais parler de SI devenus pervasifs.

Les précédentes éditions de cet atelier ont permis de mettre en évidence l’omniprésence de la technologie dans les environnements et son effet sur les processus et les activités métiers. Les articles présentés ont souligné des nombreux défis comme le défi écologique, ou encore la gestion des services et des infrastructures, pour ne citer qu’eux.

On peut désormais s’interroger sur ” l’intelligence ” qu’on pourrait apporter à cette nouvelle génération de SI, les SI pervasifs. Pourrons-nous un jour parler d’un SI ” smart ” ou ” intelligent ” ?
On peut également s’interroger sur le rôle de ces systèmes face aux nombreuses situations de crise traversées par notre société. Les nouvelles technologies peuvent-elles contribuer à rendre ces systèmes plus résilients ? Peuvent-ils ainsi devenir un jour un levier pour la résilience des organisations de manière générale ? Toutes ces questions et bien d’autres restent ouvertes.

L’objectif de cet atelier est ainsi de mieux comprendre les défis et les opportunités soulevés par cette nouvelle génération de SI que nous dessinons aujourd’hui, et comment les nouvelles technologies et tendances dans l’informatique (et ailleurs) peuvent contribuer à cette évolution.

Cet atelier se veut un lieu d’échange, suscitant de discussions autour de cette nouvelle génération de SI et des tendances qui permettent aujourd’hui son apparition. Nous invitons à des contributions sur différents aspects allant de l’architecture à l’infrastructure, de la modélisation à l’expérimentation, de la théorie à la pratique sur différents thèmes (GreenIT, Machine Learning, IoT, Cloud et Fog/Edge Computing, etc.). A travers les discussions, nous souhaitons susciter une certaine synergie entre les différentes communautés appelées à être acteur de cette évolution.

Nous appelons à des contributions sur la forme d’articles entre 5 et 8 pages (format Hermès-Lavoisier) proposant des contributions (consolidées ou jeunes initiatives), des retours d’expérience, ou de cas d’études autour de la thématique.

Thèmes de l’atelier :

Nous appelons à des contributions sur la forme d’articles proposant des contributions (consolidées ou jeunes initiatives), des retours d’expérience ou de cas d’études autour des thèmes suivants
(liste non exhaustive) :

– SI & Informatique Pervasive
– SI & Green IT
– SI & Machine Learning
– SI & Resilience
– SI & IoT
– SI & Cloud / Edge / Fog Computing
– SI & Big Data

Consignes aux auteurs :

Les articles doivent être soumis en format PDF sur le site
https://easychair.org/conferences/?conf=evolsi2022. Ils doivent contenir entre 5 et 8 pages et devront se conformer au modèle Hermès-Lavoisier utilisé par la conférence InforSID 2022 (feuille
de style Word et LaTeX disponibles sur https://inforsid2022.sciencesconf.org/resource/page/id/1).

Dates importantes :
– date limite de soumission : 15 avril 2022
– notification d’acceptation : 28 avril 2022
– soumission de la version finale : 13 mai 2022

Comité de Programme
* Adel Noureddine, LIUPPA, E2S, Université de Pau et des Pays de l’Adour
* Amel Bouzeghoub, Télécom SudParis
* Chantal Taconet, Télécom SudParis
* Fabien Mieyeville, Polytech Lyon – Université Claude Bernard Lyon 1
* Frank Ravat, IRIT / Université Toulouse I Capitole
* Luiz Angelo Steffenel, Université de Reims Champagne-Ardenne
* Manuele Kirsch Pinheiro, Université Paris 1 Panthéon Sorbonne
* Oumaya Baala Canalda, Université de Technologie de Belfort Montbéliard
* Phillippe Roose, LIUPPA, E2S, Université de Pau et des Pays de l’Adour
* Rebecca Deneckere, Université Paris 1 Panthéon Sorbonne
* Sophie Chabridon, Télécom SudParis
* Thierry Antoine-Santoni, Université di Corsica Pasquale Paoli

Animateurs
* Manuele Kirsch Pinheiro, CRI, Université Paris 1 Panthéon Sorbonne
* Philippe Roose, LIUPPA, E2S, Université de Pau et des Pays de l’Adour
* Luiz Angelo Steffenel, LICIIS, Université de Reims Champagne-Ardenne

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Categories: Conferences

DAS: 15th IAPR International Workshop on Document Analysis Systems

May 31 all-day

Date : 2022-05-31
Lieu : La Rochelle, France

DAS 2020 CALL FOR PAPERS:

DAS 2022 is the 15th international IAPR-sponsored workshop dedicated towards system-level approaches and related challenges in document analysis and recognition domain. Typically, the workshop covers invited speaker talks along with oral, poster, tutorial, demo sessions and working group discussions. Springer will publish the proceedings (for accepted full papers).

DAS 2022 will be held in the historical city of La Rochelle located on the French Atlantic coast. La Rochelle is famous for its old port, stunning seaside views, urban beaches, and for the second largest private aquarium in Europe.

DAS 2022 will accept contributions of different types including full papers (that will be presented orally or by poster), short papers (presented only by posters, prototypes, or demonstrations). All submissions (for both full and short papers) will pass through a rigorous review process to evaluate the submitted work against several criteria including originality, quality of work and presentation ideas, novelty, and relevance to document analysis systems.
TOPICS
DAS addresses document analysis technologies including models, methods and relevant applications that satisfy actual engineering requirements. The workshop provides an exciting platform for interactions and high-level technical exchanges between industrial and academic communities.

Any of the following topics of interest may be addressed:
*Document analysis systems
*Document understanding
*Layout analysis
*Camera-based document analysis
*Document analysis for digital humanities
*Document analysis for libraries and archives
*Document analysis for the internet
*Document analysis for mobile devices
*Document authentication
*Document datasets
*Document image watermarking
*Document retrieval
*Deep learning for document analysis systems
*Information extraction from document images
*Graphics recognition
*Table and form processing
*Mathematical expression recognition
*Forensic document analysis
*Historical document analysis
*Multilingual document analysis
*Multimedia document analysis
*Pen-based input and its analysis
*NLP for document analysis
*Human document interaction
*Authoring, annotation, and presentation systems
*Performance evaluation
*Applications

SUBMISSION TYPES
DAS 2022 expects submissions in the Springer LNCS format based on the following types of papers:

Full papers
Full papers should describe complete works of original research. Authors are invited to submit original unpublished research papers, up to 15 pages length, that are not being considered in another forum. This restriction does not apply to unpublished technical reports or papers included in self-archive repositories (departmental, arXiv.org, etc.) that are not peer-reviewed.

Short papers
Short papers provide an opportunity to report on research in progress, to present demos and novel positions on document analysis systems. Authors may submit short papers (up to 4 pages in length). Short papers will also undergo review and will appear in an extra booklet, not in the official DAS2022 proceedings.

IMPORTANT DATES
Conference: May 22-25, 2022
Papers due: Jan. 04, 2022
Authors’ response period (including a rebuttal): Feb. 21-28, 2022
Notification of acceptance: Mar. 08, 2022
Camera ready due: Apr. 01, 2022

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Categories: Conferences

ICPRAI 2022 : Doctoral Consortium

May 31 all-day

Date : 2022-05-31
Lieu : Université de Paris, Paris, France

DOCTORAL CONSORTIUM

This year, the steering committee of ICPRAI 2022 proposes the first version of the Doctoral Consortium (DC) as a satelite event to the main conference offering the opportunité to PhD students to present their work and meet senior researchers in their feld of interest.

The goal of the ICPRAI 2022 Doctoral Consortium is to create an opportunity for Ph.D. students to test their research ideas, present their current progress and future plans, and receive constructive criticism and insights related to their future work and career perspectives. A mentor (a senior researcher who is active in the field) will be assigned to each student to provide individual feedback. In addition, students will have the opportunity to present an overview of their research plan during a special poster session.

Participation in the ICPRAI 2022 Doctoral Consortium will be limited to 25 students. Prospective participants are encouraged to submit their application. The Doctoral Consortium Committee will then review all applications received. Preference will be given to students who are at a stage in their studies most likely to benefit (i.e., they have identified a research direction and published some initial results, but the thesis is not yet set in stone).

Submission procedure
Students willing to participate should submit a participation package in a single pdf file. The submission package should be prepared using the following templates and should contain the following information:

– Student’s name
– University
– Title of your thesis
– Supervisor of the thesis
– Starting and expected finalization date of the PhD
– Short research plan (1-2 pages about the work)
– Short CV (1-2 pages).

The research plan should contain an overview of the PhD topic relative to the topics of the main conference, the steps made so far (including a list of publications), and the actions planned before finishing the PhD, especially novel research ideas to be pursued.

Submission should be done before February 1st, 2022 via easychair (select Track “ICPRAI 2022 – Doctoral Consortium”) :
https://easychair.org/my/conference?conf=icprai2022

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Categories: Conferences

Wed

Special Session on Time-Series Analysis @ ICPRAI 2022 (Paris)

Jun 1 – Jun 3 all-day

Date : 2022-06-01 => 2022-06-03
Lieu : Paris

Scope

As the number of sensors increases due to the development of Internet of Things (body sensors, weather station, …) and the improvement of existing devices (satellite, chirurgical robot, …), the number of available time series data increases also and so is their temporal sampling in a variety of applications in medicine (e.g., EEG and ECG signals), environment, finance, weather forecasting, food security, or human activity recognition. There is now a need to deal with new issues such as missing values, irregular temporal sampling, time series outliers, early classification, heterogeneous time series, cold start and the lack (or few amount) of labeled data to train models. Moreover, new devices with higher temporal frequency and multi sensors impose to set a tradeoff between accuracy and scalability as the dimensionality and the length of the time-series produced by these devices increase. Finally, these multivariate time series require new methods to deal with the dimensionality complexity. The aim of this special session is to present recent work on time series analysis in different
application domains, that deals with the increase in time series data and/or in the temporal sampling.

Topics

Time-Series classification
Time-Series forecasting
Time-Series clustering
Time-Series segmentation
Time-Series regression
Time series at scale
Early classification of Time-Series
Time-Series classification with few labeled data
Time-Series classification with missing data and/or outliers

Important dates

Paper Submission: January 31, 2022
Authors Notification: March 8, 2022
Camera Ready and Registration: March 22, 2022

Paper Submission

Authors are invited to submit papers in any of the topics listed above.
Visit “Author guidelines” in the ICPRAI website (https://icprai2022.sciencesconf.org/resource/page/id/4) for more information about the submission procedure.
To submit a paper, select “ICPRAI 2022 – SS – Time series analysis” in the Easychair form (https://easychair.org/my/conference?conf=icprai2022)

Special Session Chairs

Dr Charlotte Pelletier,Université Bretagne Sud
Dr Jonathan Weber, Université de Haute-Alsace
Dr Maxime Devanne, Université de Haute-Alsace
Prof. Germain Forestier, Université de Haute-Alsace

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Categories: Conferences

CFP – The 23rd IEEE Mobile Data Management – MDM 2022

Jun 6 – Jun 9 all-day

Date : 2022-06-06 => 2022-06-09
Lieu : Paphos, Cyprus

****************************************************************************
C A L L F O R P A P E R S – R E S E A R C H T R A C K

IEEE MDM 2022 – The 23rd IEEE Intl. Conference on Mobile Data Management

Coral Beach Hotel & Resort, Paphos, Cyprus (hybrid format)

June 6 – 9, 2022

Home

Abstract Deadline: January 14, 2022!
https://cmt3.research.microsoft.com/MDM2022
****************************************************************************

The MDM series of conferences, since its debut in 1999, has established
itself as a prestigious forum for the exchange of innovative and
significant research results in mobile data management. The conference
provides unique opportunities to bring researchers, engineers, and
practitioners together to explore new ideas, techniques, and tools,
and exchange experiences.

Continuing its history, MDM 2022 seeks submissions of original research
contributions in the intersection of mobile computing and data management.

We welcome papers on topics including, but not limited to:
– Mobile Data Analytics
– Machine Learning/AI for Mobile Data
– Location and Trajectory Analytics
– Mobile Cloud Computing and Data Management in the Mobile Cloud
– Mobile Crowd-Sourcing and Crowd-Sensing
– Mobile Location-Based Social Networks
– Mobile Recommendation Systems
– Context-aware Computing for Intelligent Mobile Services
– Behavioral/Activity Sensing and Analytics
– Data Management for Internet of Things (IoT) and Sensor Systems
– Data Management for Augmented Reality Systems
– Data Management for Connected Cars, Intelligent Transportation
Systems, Smart Spaces
– Theoretical Foundations of Data-intensive Mobile Computing
– Data Stream Processing in Mobile/Sensor Network
– Indexing, Optimization and Query Processing for Moving Objects/Users
– Middleware and Tools for Mobile and Pervasive Computing
– Privacy and Security in Mobile Systems
– Routing, Personalized Routing, Eco-Routing, Routing for Electrical Vehicles
– Transportation-As-A-Service, Mobility-As-A-Service
– Innovative Applications driven by Mobile Data

Due to the COVID-19 global pandemic, MDM 2022 will be offered in a hybrid
format with details to be announced at a later stage. This decision will
alleviate the inherent difficulties and travel restrictions incurred
by the pandemic, offering the widest spread of new scientific knowledge
with the lowest risk to participants. The Organizers are committed in
offering the best possible physical and online experience capitalizing
and expanding on the success of earlier organizations.

* Submission Guidelines *
*************************
Please use the following URL link for submissions of Research Track Papers:

https://cmt3.research.microsoft.com/MDM2022

All submissions need to follow IEEE Computer Society Proceedings
Manuscript Formatting Guidelines. See templates here:
https://www.ieee.org/conferences/publishing/templates.html

The following are the page limits:
– Regular papers: 10 pages
– Short papers: 6 pages

Note that a paper exceeding the page limit in the respective category may
be rejected without review. If there are any appendices, they are counted
within the page limit.

Submission of a meaningful abstract by the abstract deadline is a
precondition for paper submission.

* Dates *
*********
Research Track

– Abstract Deadline January 14, 2022
– Submission Deadline January 21, 2022
– Notification of Acceptance March 4, 2022
– Camera-Ready & Author Registration Deadline April 22, 2022
– Early Registration Deadline May 13, 2022

* Publisher *
*************
IEEE CPS: https://www.computer.org/conferences/cps

All accepted papers will be published in the proceedings of the
2022 International Conference on Mobile Data Management and included
in the IEEE Xplore® digital library

* Award *
The conference will confer a Best Paper Award from the submission to
the Research Track of MDM 2022.

************************
* Organizing Committee *
************************

+ General Co-Chairs
Mohamed F. Mokbel (University of Minnesota, USA)
Jianliang Xu (Hong Kong Baptist University, Hong Kong)
Demetris Zeinalipour (University of Cyprus, Cyprus)

+ PC Co-Chairs
Mohamed Sarwat (Arizona State University, USA)
Xing Xie (Microsoft Research Asia, China)
Karine Zeitouni (University of Versailles Saint-Quentin, France)

+ Workshop Co-Chairs
Takahiro Hara (Osaka University, Japan)
Nikos Mamoulis (University of Ioannina, Greece)

+ Advanced Seminars Co-Chairs
Maria Luisa Damiani (University of Milan, Italy)
Sanjay Madria (Missouri University of Science and Technology, USA)
Manos Papagelis (York University, Canada)

+ Demo Co-Chairs
George Fakas (Uppsala University, Sweden)
‪Andreas Konstantinidis (Frederick University of Technology, Cyprus)
Matthias Renz (University of Kiel, Germany)

+ Industry Co-Chairs
Jie Bao (JD.com, China)
Christian Becker (University of Mannheim, Germany)
Lei Chen (Hong Kong University of Science and Technology, Hong Kong)

+ Keynote Co-Chairs
Wang-Chien Lee (Pennsylvania State University, USA)
Dimitrios Gunopulos (National and Kapodistrian University of Athens)
Xiaofang Zhou (Hong Kong University of Science and Technology, Hong Kong)

+ Panel Co-Chairs
Christophe Claramunt (Ecole Navale, France)
Baihua Zheng (Singapore Management University, Singapore)

+ Diversity & Inclusion Co-Chairs
Panos K. Chrysanthis (University of Pittsburgh, USA)
Vana Kalogeraki (Athens University of Economics, Greece)

+ PhD Colloquium Co-Chairs
Hua Lu (Roskilde University, Denmark)
Mohamed Sharaf (United Arab Emirates University, UAE)

+ Test-of-Time Award Committee
Karl Aberer (École polytechnique fédérale de Lausanne, Switzerland)
Christian S. Jensen (Aalborg University, Denmark
Kian-Lee Tan (National University of Singapore, Singapore)

+ Publicity Co-Chairs
Ahmed Eldawy (University of California – Riverside, USA)
Xiao Pan (Shijiazhuang Tiedao University, China)
Dimitris Sacharidis (Université Libre De Bruxelles, Belgium)

+ Sponsorship Chair
Konstantinos Pelechrinis (University of Pittsburgh, USA)

+ Proceedings Chair
Edison Chan (Hong Kong Baptist University, Hong Kong)

+ Online Platform Co-Chairs
Constantinos Costa (University of Pittsburgh, USA)
Paschalis Mpeis (University of Cyprus, Cyprus)

+ Steering Committee Liaison
Panos K. Chrysanthis (University of Pittsburgh, USA)

+ Finance Chair
George Pallis (University of Cyprus, Cyprus)

+ Website Management and Local Arrangements
Petros Stratis (Easyconferences, Cyprus)
Nicolas Kantzilaris (Easyconferences, Cyprus)

—
Karine Zeitouni, TPC Co-Chair
DAVID Lab., UVSQ, Université Paris Saclay
https://pages.david.uvsq.fr/kzeitouni

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Categories: Conferences

Tue

Session 4.8 – Remote Sensing Methods and Applications @MELECON 2022

Jun 14 – Jun 16 all-day

Date : 2022-06-14 => 2022-06-16
Lieu : Palermo, Italy

We are in the era of Earth Observation and free geo big data generated periodically with high revisiting time. Just to cite some sources of remote sensing data, the Sentinel missions for Earth observation of the joint ESA/European Commission initiative Copernicus are bringing reliable, up-to-date and free high-and medium resolution images for ecosystem monitoring and managing, for agriculture, forests, land-use and land-cover change, coastal and inland waters monitoring, etc.. The PRISMA pre-operational medium-resolution hyperspectral imaging mission funded by the Italian Space Agency (ASI) provides a global observation capability for specific areas of interest in Europe and in the Mediterranean region. National, regional and local geoportals of public authorities provide upon requests, free LiDAR data. Nevertheless, to extract useful information from remote sensing data, methods capable of fully exploiting these systems and their complementarity are necessary to provide robust and operational semantic information that is easily interpretable by humans to take decisions. To this end, models physically based, data driven approaches laying under the umbrella of Artificial Intelligence methods and their combination constitute a challenge for remote sensing of the future.
The “Remote Sensing Methods and Applications” session of the “Smart Digital Communities” aims to bring together scientists, researchers and research scholars to exchange and share their experiences and research results on methods and techniques for the acquisition, calibration, filtering, fusion, analysis, interpretation and validation of Remote Sensing data (from both active and passive sensors on board of satellites, airbornes, UAVs, and LiDAR, SONAR, etc.) and applications in all areas of Earth Observation. It also provides an interdisciplinary forum for researchers and practitioners to present and discuss recent innovations, challenges, trends, and solutions adopted in the fields of Remote Sensing. Contributions describing original and unpublished results of theoretical approaches, conceptual models, empirical and experimental studies in Remote Sensing are relevant for the session and invited for presentation at the conference.

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Categories: Conferences MACLEAN

Sun

ÉCOLE THÉMATIQUE DU CNRS : BDA MDD

Jun 19 – Jun 23 all-day

Date : 2022-06-19 => 2022-06-19
Lieu : Bastia, Corse, France, Centre IGESA, La Marana

ÉCOLE THÉMATIQUE DU CNRS : BDA MDD
19 – 24 juin 2022, Bastia, Corse, France
https://cedric.cnam.fr/lab/confs/mdd2022/

LES INSCRIPTIONS SONT OUVERTES

Date limite d’inscription: 15 mai 2022
Le nombre de participants est limité (la priorité sera donnée aux doctorants).

Venez surfer sur les vagues de données avec nous !

L’ère des données est ici et maintenant. Dans une société et un environnement axés sur les données, les solutions d’intégration, d’analyse et de modélisation des données doivent fonctionner au-dessus de différentes architectures cibles. Les solutions, protocoles et technologies de base de données évoluent à un rythme élevé, ce qui ouvre des défis passionnants à relever par des approches de recherche et de développement.

L’école thématique CNRS MDD « Masses de données distribuées » est une école thématique récurrente ayant lieu tous les deux ans depuis 2010. Cette école est une émanation de la communauté des bases de données en France, structurée autour de la conférence BDA : Gestion de données – principes et applications, qui a fêté ses 30 ans d’existence en 2016. Si notre conférence est le lieu de rencontre de notre communauté, l’école thématique MDD permet d’exposer en détails des thèmes fondamentaux pour la compréhension de l’évolution de notre domaine de recherche, et de préparer les doctorant(e)s à suivre – et provoquer – ses évolutions.

L’école MDD s’est attachée lors des cinq premières sessions à aborder des thèmes liés à ces défis. La première session (2010), a ainsi traité des systèmes distribués de gestion de données et du Web sémantique ; la seconde session (2012) s’est consacrée aux opérateurs de traitement de requêtes à l’échelle du Pétaoctet, aux nouvelles sources d’information (réseaux sociaux), à l’intégration de données issues d’environnement indépendants ; la session de 2014 a été dédiée à la visualisation analytique de données, à la qualité des données et au crowdsourcing ; la session de 2016 a porté sur les processus intégrés d’analyse de données massives respectueux de la vie privée. En 2018, la session a traité du « Scalable Data Analytics » avec les moyens d’analyser les données à large échelle. La session de 2020 a malheureusement été suspendue durant la pandémie et reportée à 2022.

L’école MDD offrira un programme intensif et passionnant et un environnement de travail avec des expert.e.s qui donneront des cours et mettront en pratique les problèmes qui font avancer le domaine. Les activités scientifiques seront combinées à des discussions et activités informelles qui favoriseront l’émergence d’idées, de projets et d’expérimentations qui aideront les doctorants et les chercheurs à compléter leurs recherches actuelles.

— PROGRAMME —

19/6 : Dimanche après-midi : arrivée

6/20 : Lundi : Intégration de données hétérogènes : Sémantique et polystores, Ioana Manolescu, François Goasdoué, Maxime Buron

21/06 : Mardi : Matin : Systèmes de traitement des grands graphes
Angela Bonifati, Chao Zhang

Après-midi : Comment mener des expériences ?
Nicolas Travers

6/22 : Mercredi Matin : Déployer des applications de Deep Learning à l’échelle : le défi des bases de données,
Genoveva Vargas-Solar et Javier Espinosa

Après-midi : Evénement social

6/23 : Jeudi : Sécurité des données et confidentialité des données externalisées dans le Cloud
Amr el Abbadi, Tristan Allard

Tutorial le matin et session pratique l’après-midi.

6/24 : Vendredi : Départ le matin

Le public cible de cette école est principalement constitué de jeunes chercheurs dans le domaine des bases de données ainsi que dans des domaines connexes ou multidisciplinaires (gestion de grandes quantités de données pour des applications scientifiques par exemple). Par jeunes chercheurs, nous entendons les doctorants et post-doctorants. L’école est également ouverte aux enseignants-chercheurs et chercheurs plus expérimentés dans un but d’ouverture thématique, de création d’un réseau d’échange ou de reconversion. L’école s’adresse évidemment aux ingénieurs de recherche du secteur privé (R&D, startup, etc.).

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Categories: Conferences

Bayesian Deep Learning workshop for Cosmology and Time Domain astrophysics

Jun 20 – Jun 24 all-day

Date : 2022-06-20 => 2022-06-24
Lieu : Paris, Université Paris Cité (Paris 13).

We are glad to announce that the second edition of a workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics 2022 is open for registration. It will be held in Paris, France the week of June 20th to 24th and a call for contributions is open until May 18th.

The goal of this workshop, sponsored by the LSSTC Enabling Science effort – with contributions from DESC, ISSC and TVS collaborations – is to bring together physicists and machine learning specialists to exchange recent results at the crossroads between cosmology, time-domain astrophysics and probabilistic machine learning frameworks to leverage uncertainties. During registration, young scientists are invited to apply for grants covering lodging and part of the conference fees. Please follow the indications on the registration website for grant applications.

The first day of the workshop will be structured as a school to introduce the Bayesian framework and probabilistic machine learning concepts. The rest of the workshop will alternate between keynote talks, topical presentations, interactive tutorials and poster sessions.

We welcome in particular contributions that target, or report on, the following non-exhaustive list of topics

Applications of Bayesian Deep Learning in Cosmology and Time Domain Astrophysics
Methodology for Model Uncertainty Quantification
Anomaly and outlier detection
Probabilistic ML frameworks and methodology
Use of Bayesian deep learning outside of academia
Ethical considerations of large-scale machine learning

Contributions do not necessarily need to be astrophysics-focused. Work on relevant ML methodology, or similar considerations in other scientific fields are welcome.

Confirmed keynote speakers and panelists

Anja Butter, ITP Heidelberg, Germany
Jean-Gabriel Ganascia, LIP6, Paris, France
Stephen Green, MPI, Potsdam, Germany
Alan Heavens, Imperial College, London, UK
Tomasz Kacprzak, ETH Zurich / PSI, Switzerland
Ashley Villar, Penn State University, USA
Ben Wandelt, IAP, Paris, France

More information is available on the workshop website: https://astrodeep.net/workshop2022 and specific inquiries can be directed to workshop@astrodeep.net.

We look forward to welcoming you in Paris.

All the best,
The organizing committee
Eric Aubourg (CEA) – Federica Bianco (Univ. of Delaware) – Alexandre Boucaud (CNRS)
François Lanusse (CNRS) – Cécile Roucelle (Univ. Paris Cité) – Chad Schafer (CMU)

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Categories: Conferences

Wed

summer school on “Point clouds and change detection in the geosciences”

Jun 22 all-day

Date : 2022-06-22
Lieu : Online

On June 22, the University of Rennes 1 and the University of Potsdam organize a full day of presentations to close their summer school on “Point clouds and change detection in the geosciences”. This day is open and free for online attendance.

The detailed program is here.

On line registration here.

An overview of the program:

Katharina Anders [DGeo Research Group, Institute of Geography, Heidelberg University] It’s about time… to observe surface dynamics in 4D point clouds
Daniel Girardeau-Montaut [CloudCompare project] Presentation of the CloudCompare project and its latest developments
Chelsea Scott [Arizona State University] Measuring Change at the Earth’s Surface with Topographic Differencing
Antonio Abellan [crealp]
Fanny Brun [Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, IGE] Glacier mass change observations with remote sensing
Iris De Gelis [Magellium, IRISA UMR 6074, CNES] Deep learning based 3D point clouds change detection: an application to cliffs dynamics
Zan Gojcic [Nvidia] Estimating dense 3D displacement vector fields for point cloud-based landslide monitoring
Beth Pratt-Sitaula [UNAVCO] Point clouds in teaching: resources and strategies

With best regards,

P. Leroy (CNRS, University of Rennes 1), D. Lague (CNRS, University of Rennes 1) and B. Bookhagen (University of Potsdam)

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Categories: Conferences MACLEAN

Fri

Seminar of Professor Panagiota Fatourou – Highly-Efficient Data Series Processing on Modern Computing Platforms

Jun 24 all-day

Date : 2022-06-24
Lieu : Curium ENSEA (6 Av. du Ponceau, 95000 Cergy)

Chères et chers collègues,
nous avons le plaisir de vous inviter au séminaire autour de la gestion efficace de séries temporelles dans les systèmes réparties modernes.

Nous accueillerons M.me Panagiota FATOUROU (professeur à l’Université de Crète) au Curium ENSEA (6 Av. du Ponceau, 95000 Cergy) vendredi 24 Juin à 14 h.

Suivre le séminaire en distanciel sera possible sur ZOOM (lien dans ce mél).
Vous trouvez tous les détails ci-dessous.

Cordialement,
Vassilis Christophides, Michele Linardi
Laboratoire ETIS

Participer à la réunion Zoom
https://cnrs.zoom.us/j/97532161522?pwd=OEhEK3REMWE2WjRxYVFPMktmL2Eydz09

ID de réunion : 975 3216 1522
Code secret : icT6Xq

Title: Highly-Efficient Data Series Processing on Modern Computing Platforms

Abstract: Processing of large collections of real-world data series is nowadays one of the most challenging and critical problems for a wide range of diverse application domains, including finance, seismology and other earth sciences, astrophysics, neuroscience, engineering, etc. Due to the unprecedented growth in size that data series collections experience nowadays, traditional, serial-execution data series indexing technologies are rendered inadequate. Thus, one of the most pressing issues in data series processing is achieving enhanced performance and high scalability. This talk will present the first concurrent data series indexing solutions that are designed to inherently take advantage of modern hardware, in order to accelerate data series processing times for both on-disk and in-memory data. In particular, we will present a collection of algorithms that utilize multi-core and SIMD architectures, as well as Graphics Processing Units (GPUs) to tackle the performance and scalability goals. The algorithms to present are orders of magnitude faster than the state-of-the-art solutions for both disk-resident and in-memory data.

Brief cv: Panagiota Fatourou is a Professor at the Department of Computer Science of the University of Crete, Greece and the Institute of Computer Science (ICS) of the Foundation for Research and Technology – Hellas (FORTH). She is currently working at the University Paris Cite, LIPADE as a Marie-Curie Individual Fellow (October 2021 – September 2022). She has repeatedly worked as a visiting Professor at the School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne in Switzerland. She has worked as a postdoc at Max-Planck Institut für Informatik, Saarbrücken, Germany, and at the Computer Science Department of the University of Toronto, Canada. Her research interests focus on the principles of parallel and distributed computing. Panagiota Fatourou has served as the chair of the ACM Europe Council (October 2019 – June 2021). Since July 2015, she is an elected member of the Council, currently serving as the Past Chair. She has served as the editor of the Distributed Computing Column of the Bulletin of the European Association for Theoretical Computer Science (BEATCS), and as the General Chair of the ACM Symposium on Principles of Distributed Computing (PODC 2013). She has also served as a member-at-large of the steering committees of PODC and OPODIS. She has been the PC co-Chair of the 20th International Conference on Principles of Distributed Systems (OPODIS 2016), and of the 19th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2017). She has served as an ACM Distinguished Speaker and a Featured ACM Member.