TPNC 2019: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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The 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2019) invites researchers to submit poster presentations. TPNC 2019 will be held in Kingston, Ontario on December 9-11, 2019. See
https://tpnc2019.irdta.eu/
Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion.
TOPICS
Presentations displaying novel work in progress on computational principles, models and techniques inspired by information processing in nature are invited. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome.
KEY DATES
Poster submission deadline: November 2, 2019
Notification of poster acceptance or rejection: November 9, 2019
SUBMISSION
Please submit a .pdf abstract through:
https://easychair.org/conferences/?conf=tpnc2019
It should contain the title, author(s) and affiliation, and should not exceed 500 words.
PRESENTATION
Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion.
PUBLICATION
Posters will not appear in the LNCS proceedings volume of TPNC 2019. However, they will be eligible for submission to the post-conference journal special issue in Natural Computing (Springer, 2018 JCR impact factor: 0.860).
REGISTRATION
At least one author of each accepted poster must register to the conference by November 25, 2019. The registration fare is reduced: 285 Euros. It gives the same rights all other conference participants will have (attendance, copy of the proceedings volume, coffee breaks, lunches). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.
Liebe D-CONler / Dear Concurrency Theorists!
As already announced, the next edition of D-CON will be hosted in
*Duisburg* at the University of Duisburg-Essen on *March 12th - March
13th 2020*.
The related web page for D-CON 2020 can be found here:
https://udue.de/dcon2020
You can now register for participation by sending an email to
ti(a)uni-due.de <mailto:ti@uni-due.de>. The participation fee will be a
moderate fee of less than 100€. Due to environmental reasons, we would
like to ask you to travel by train if possible and plan to (slightly)
reduce the fee for following this request.
Please use the following template for registration:
----
- Name (for name tags):
- Affiliation (for name tags):
- Date of Arrival:
- Date of Departure:
- I will join (self-paid) dinner on Wednesday (yes/no) (central location
in Duisburg, yet to be determined):
- I will join (self-paid) dinner on Thursday (yes/no) (location at
Duisburg Innenhafen, yet to be determined):
- Dietary restrictions (if any):
- Planned transportation:
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If you would like to give a talk, please send a *title* and short
*abstract* and keep in mind the newly established different *talk
lengths*. Please specify the kind of talk and choose one of the
following talk-lengths that suits the scope of your presented work best:
15, 30, 45 minutes.
- Regular talk
- Tutorial talk
- Lightning talk
The deadline for contribution proposals and for registrations is on the
*25th of January 2020*.
We are looking forward to seeing you at D-CON 2020!
Best regards,
Rebecca, Richard and the rest of the group.
BigDat 2020: early registration October 27*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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6th INTERNATIONAL WINTER SCHOOL ON BIG DATA
BigDat 2020
Ancona, Italy
January 13-17, 2020
Co-organized by:
Department of Information Engineering, Marche Polytechnic University
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
https://bigdat2020.irdta.eu/
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--- Early registration deadline: October 27, 2019 ---
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SCOPE:
BigDat 2020 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 1 keynote lecture and 22 four-hour and a half courses, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
VENUE:
BigDat 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be:
Department of Information Engineering
Marche Polytechnic University
Via Brecce Bianche 12
60131 Ancona
KEYNOTE SPEAKER: (to be completed)
PROFESSORS AND COURSES:
Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing
Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration
Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization
Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning from Imbalanced Data
Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain
Charles Elkan (University of California, San Diego), [intermediate] A Rapid Introduction to Modern Deep Learning
Minos Garofalakis (Technical University of Crete), [intermediate/advanced] Private Data Analytics at Scale
Jiawei Han (University of Illinois, Urbana-Champaign), [intermediate/advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Xiaohua Tony Hu (Drexel University), [introductory/advanced] Machine Learning Methods for Big Microbiome Data Analysis
Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs
Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences
Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems
Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code
Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems
Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods
Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning That Exploits Massively Parallel Computing – An Overview of Concepts, Architectures and Neural Network Algorithm Implementation
Hanan Samet (University of Maryland), [introductory/intermediate] Sorting in Space: Multidimensional, Spatial, and Metric Data Structures for Applications in Spatial and Spatio-textual Databases, Geographic Information Systems (GIS), and Location-based Services
Rory Smith (Monash University), [introductory/intermediate] Learning from Data, the Bayesian Way
Jaideep Srivastava (University of Minnesota), [introductory/intermediate] Social Computing
Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate/advanced] Meta-analysis Methods for High-dimensional Data
Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning
Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization
OPEN SESSION
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by January 5, 2020.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020.
EMPLOYER SESSION:
Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020.
ORGANIZING COMMITTEE:
Emanuele Frontoni (Ancona, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
Flavio Tonetto (Ancona, industrial chair)
Domenico Ursino (Ancona, co-chair)
REGISTRATION:
It has to be done at
https://bigdat2020.irdta.eu/registration/
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
ACCOMMODATION:
Suggestions for accommodation are available at
https://bigdat2020.irdta.eu/accommodation/
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david(a)irdta.eu
ACKNOWLEDGMENTS:
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
CONFINDUSTRIA Marche Nord
CINI AIIS National Lab
LATA 2020: extended submission deadline October 26*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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***** SUBMISSION DEADLINE EXTENDED: October 26 *****
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14th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS
LATA 2020
Milan, Italy
March 2-6, 2020
Co-organized by:
Department of Informatics, Systems and Communication
University of Milano-Bicocca
and
Institute for Research Development, Training and Advice
Brussels/London
https://lata2020.irdta.eu
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AIMS:
LATA is a conference series on theoretical computer science and its applications. LATA 2020 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from classical theory fields as well as application areas.
VENUE:
LATA 2020 will take place in Milan, the third largest economy among European cities and one of the Four Motors for Europe. The venue will be:
University of Milano-Bicocca
Viale Piero e Alberto Pirelli 22
Building U6
Aula Mario Martini (Aula U6-04)
Milan
SCOPE:
Topics of either theoretical or applied interest include, but are not limited to:
algebraic language theory
algorithms for semi-structured data mining
algorithms on automata and words
automata and logic
automata for system analysis and programme verification
automata networks
automatic structures
codes
combinatorics on words
computational complexity
concurrency and Petri nets
data and image compression
descriptional complexity
foundations of finite state technology
foundations of XML
grammars (Chomsky hierarchy, contextual, unification, categorial, etc.)
grammatical inference, inductive inference and algorithmic learning
graphs and graph transformation
language varieties and semigroups
language-based cryptography
mathematical and logical foundations of programming methodologies
parallel and regulated rewriting
parsing
patterns
power series
string processing algorithms
symbolic dynamics
term rewriting
transducers
trees, tree languages and tree automata
weighted automata
STRUCTURE:
LATA 2020 will consist of:
invited talks
peer-reviewed contributions
INVITED SPEAKERS:
Eric Allender (Rutgers University), The New Complexity Landscape around Circuit Minimization
Laure Daviaud (City, University of London), About Decision Problems for Weighted Automata
Christoph Haase (University College London), Approaching Arithmetic Theories with Finite-state Automata
Artur Jeż (University of Wrocław), Recompression: Technique for Word Equations and Compressed Data
Jean-Éric Pin (CNRS), How to Prove that a Language Is Regular or Star-free?
Thomas Place (University of Bordeaux), Deciding Classes of Regular Languages: A Language Theoretic Point of View
PROGRAMME COMMITTEE:
Jorge Almeida (University of Porto, PT)
Franz Baader (Technical University of Dresden, DE)
Alessandro Barenghi (Polytechnic University of Milan, IT)
Marie-Pierre Béal (University of Paris-Est, FR)
Djamal Belazzougui (CERIST, DZ)
Marcello Bonsangue (Leiden University, NL)
Flavio Corradini (University of Camerino, IT)
Bruno Courcelle (University of Bordeaux, FR)
Laurent Doyen (ENS Paris-Saclay, FR)
Manfred Droste (Leipzig University, DE)
Rudolf Freund (Technical University of Vienna, AT)
Paweł Gawrychowski (University of Wrocław, PL)
Amélie Gheerbrant (Paris Diderot University, FR)
Tero Harju (University of Turku, FI)
Jeffrey Heinz (Stony Brook University, US)
Lane A. Hemaspaandra (University of Rochester, US)
Marcin Jurdziński (University of Warwick, UK)
Juhani Karhumäki (University of Turku, FI)
Jarkko Kari (University of Turku, FI)
Dexter Kozen (Cornell University, US)
François Le Gall (Kyoto University, JP)
Markus Lohrey (University of Siegen, DE)
Parthasarathy Madhusudan (University of Illinois, Urbana-Champaign, US)
Sebastian Maneth (University of Bremen, DE)
Nicolas Markey (IRISA, Rennes, FR)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Giancarlo Mauri (University of Milano-Bicocca, IT)
Victor Mitrana (University of Bucharest, RO)
Paliath Narendran (University at Albany, US)
Gennaro Parlato (University of Molise, IT)
Dominique Perrin (University of Paris-Est, FR)
Nir Piterman (Chalmers University of Technology, SE)
Sanguthevar Rajasekaran (University of Connecticut, US)
Antonio Restivo (University of Palermo, IT)
Wojciech Rytter (University of Warsaw, PL)
Kai Salomaa (Queen’s University, CA)
Helmut Seidl (Technical University of Munich, DE)
William F. Smyth (McMaster University, CA)
Jiří Srba (Aalborg University, DK)
Edward Stabler (University of California, Los Angeles, US)
Benjamin Steinberg (City University of New York, US)
Frank Stephan (National University of Singapore, SG)
Jan van Leeuwen (Utrecht University, NL)
Margus Veanes (Microsoft Research, US)
Tomáš Vojnar (Brno University of Technology, CZ)
Mikhail Volkov (Ural Federal University, RU)
James Worrell (University of Oxford, UK)
ORGANIZING COMMITTEE:
Alberto Leporati (Milan, co-chair)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
Rafael Peñaloza Nyssen (Milan)
Dana Shapira (Ariel)
David Silva (London, co-chair)
Bianca Truthe (Giessen)
Claudio Zandron (Milan, co-chair)
SUBMISSIONS:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). If necessary, exceptionally authors are allowed to provide missing proofs in a clearly marked appendix.
Submissions have to be uploaded to:
https://easychair.org/conferences/?conf=lata2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.
A special issue of the journal Information and Computation (Elsevier, 2018 JCR impact factor: 1.077) will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
REGISTRATION:
The registration form can be found at:
https://lata2020.irdta.eu/registration
DEADLINES (all at 23:59 CET):
Paper submission: October 26, 2019 – EXTENDED
Notification of paper acceptance or rejection: November 25, 2019
Final version of the paper for the LNCS proceedings: December 2, 2019
Early registration: December 2, 2019
Late registration: February 17, 2020
Submission to the journal special issue: June 6, 2020
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
Università degli Studi di Milano-Bicocca
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
AlCoB 2020: 1st call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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7th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY
AlCoB 2020
Missoula, Montana, USA
April 13-15, 2020
Co-organized by:
Department of Computer Science
University of Montana
and
Institute for Research Development, Training and Advice, Brussels/London
https://alcob2020.irdta.eu
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AIMS:
AlCoB aims at promoting and displaying excellent research using string and graph algorithms and combinatorial optimization to deal with problems in biological sequence analysis, genome rearrangement, phylogeny reconstruction, and structure prediction.
Previous events were held in Tarragona, Mexico City, Trujillo (Spain), Aveiro, Hong Kong and Berkeley.
The conference will address several of the current challenges in computational biology, with topics including:
1) assembling sequence reads into a complete genome,
2) identifying gene structures in the genome,
3) recognizing regulatory motifs,
4) aligning nucleotides and comparing genomes,
5) reconstructing regulatory networks of genes, and
6) inferring the evolutionary phylogeny of species.
Special focus will be put on methodology and significant room will be reserved for scholars at the beginning of their career.
VENUE:
AlCoB 2020 will take place in Missoula, Montana, a college town located in the heart of the Rocky Mountains, near Glacier National Park and Yellowstone National Park. The meeting will be hosted in the University Center, a few hundred feet from the base of Mount Sentinel.
SCOPE:
Topics of either theoretical or applied interest include, but are not limited to:
Sequence analysis
Sequence alignment
Sequence assembly
Genome rearrangement
Regulatory motif finding
Phylogeny reconstruction
Phylogeny comparison
Structure prediction
Compressive genomics
Proteomics: molecular pathways, interaction networks, mass spectrometry analysis
Transcriptomics: splicing variants, isoform inference and quantification, differential analysis
Next-generation sequencing: population genomics, metagenomics, metatranscriptomics, epigenomics
Genome CD architecture
Microbiome analysis
Cancer computational biology
Systems biology
STRUCTURE:
AlCoB 2020 will consist of:
invited lectures
peer-reviewed contributions
posters
INVITED SPEAKERS:
tba
PROGRAMME COMMITTEE: (to be completed)
Joe Felsenstein (University of Washington, US)
Olivier Gascuel (Pasteur Institute, FR)
Daniel Huson (University of Tübingen, DE)
Alla Lapidus (Saint Petersburg State University, RU)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Aaron McKenna (Dartmouth College, US)
Sayan Mukherjee (Duke University, US)
James Taylor (Johns Hopkins University, US)
David A. Wheeler (Baylor College of Medicine, US)
Travis Wheeler (University of Montana, US)
Shibu Yooseph (University of Central Florida, US)
ORGANIZING COMMITTEE:
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Miguel A. Vega-Rodríguez (Cáceres)
Travis Wheeler (Missoula, co-chair)
SUBMISSIONS:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Upload submissions to:
https://easychair.org/conferences/?conf=alcob2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS/LNBI series will be available by the time of the conference.
A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
REGISTRATION:
The registration form can be found at:
https://alcob2020.irdta.eu/registration/
DEADLINES (all at 23:59 CET):
Paper submission: December 2, 2019
Notification of paper acceptance or rejection: January 6, 2020
Final version of the paper for the LNCS/LNBI proceedings: January 13, 2020
Early registration: January 13, 2020
Late registration: March 30, 2020
Submission to the journal special issue: July 15, 2020
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGEMENTS:
University of Montana
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
Call for participation
The 14th International Conference on Risks and Security of Internet and
Systems (CRiSIS)
Alhambra Hotel, Yassmine Hammamet, Tunisia
29-31 October 2019
http://crisis2019.redcad.org
The International Conference on Risks and Security of Internet and Systems
2019 will be the 14th in a series dedicated to security issues in
Internet-related applications, networks and systems. Internet has become
essential for the exchange of information between user groups and
organizations from different backgrounds and with different needs and
objectives. These users are exposed to increasing risks regarding security
and privacy, due to the development of more and more sophisticated online
attacks, the growth of Cyber Crime, etc. Attackers nowadays do not lack
motivation and they are more and more experienced. To make matters worse,
for performing attacks have become easily accessible. Moreover, the
increasing complexity as well as the immaturity of new technologies such as
pervasive, mobile and wireless devices and networks, raise new security
challenges.
In this context, new security mechanisms and techniques should be deployed
to achieve an assurance level acceptable for critical domains such as
energy, transportation, health, defence, banking, critical infrastructures,
embedded systems and networks, avionics systems, etc. The CRiSIS conference
offers a remarkable forum for computer and network security actors from
industry, academia and government to meet, exchange ideas and present
recent advances on Internet-related security threats and vulnerabilities,
and on the solutions that are needed to counter them.
------- Registration is open as follows:
• Early – Before 20 September
• Late – Before 5 October
• On site – After 29 October
Registration is via the CRiSIS2019 website:
http://crisis2019.redcad.org/Website/Registration.html
------- Program Information
The conference will feature invited speakers and presentations of accepted
papers. More details on the program:
http://crisis2019.redcad.org/Website/Program.html
------- Keynote Speakers
Lotfi ben Othmane, *Iowa State University, USA*
Takoua Abdellatif, *University of Carthage, Tunisia*
------- Chairs
General chairs:
Nora Cuppens, IMT Atlantique, France
Ahmed Hadj Kacem, University of Sfax, Tunisia
Programme chairs:
Frédéric Cupens, University of Bretagne Loire, France
Slim Kallel, University of Sfax, Tunisia
LATA 2020: 3rd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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14th INTERNATIONAL CONFERENCE ON LANGUAGE AND AUTOMATA THEORY AND APPLICATIONS
LATA 2020
Milan, Italy
March 2-6, 2020
Co-organized by:
Department of Informatics, Systems and Communication
University of Milano-Bicocca
and
Institute for Research Development, Training and Advice
Brussels/London
https://lata2020.irdta.eu
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AIMS:
LATA is a conference series on theoretical computer science and its applications. LATA 2020 will reserve significant room for young scholars at the beginning of their career. It will aim at attracting contributions from classical theory fields as well as application areas.
VENUE:
LATA 2020 will take place in Milan, the third largest economy among European cities and one of the Four Motors for Europe. The venue will be:
University of Milano-Bicocca
Viale Piero e Alberto Pirelli 22
Building U6
Aula Mario Martini (Aula U6-04)
Milan
SCOPE:
Topics of either theoretical or applied interest include, but are not limited to:
algebraic language theory
algorithms for semi-structured data mining
algorithms on automata and words
automata and logic
automata for system analysis and programme verification
automata networks
automatic structures
codes
combinatorics on words
computational complexity
concurrency and Petri nets
data and image compression
descriptional complexity
foundations of finite state technology
foundations of XML
grammars (Chomsky hierarchy, contextual, unification, categorial, etc.)
grammatical inference, inductive inference and algorithmic learning
graphs and graph transformation
language varieties and semigroups
language-based cryptography
mathematical and logical foundations of programming methodologies
parallel and regulated rewriting
parsing
patterns
power series
string processing algorithms
symbolic dynamics
term rewriting
transducers
trees, tree languages and tree automata
weighted automata
STRUCTURE:
LATA 2020 will consist of:
invited talks
peer-reviewed contributions
INVITED SPEAKERS:
Eric Allender (Rutgers University), The New Complexity Landscape around Circuit Minimization
Christoph Haase (University College London), Approaching Arithmetic Theories with Finite-state Automata
Artur Jeż (University of Wrocław), Recompression: Technique for Word Equations and Compressed Data
Jean-Éric Pin (CNRS), How to Prove that a Language Is Regular or Star-free?
Thomas Place (University of Bordeaux), Deciding Classes of Regular Languages: A Language Theoretic Point of View
PROGRAMME COMMITTEE:
Jorge Almeida (University of Porto, PT)
Franz Baader (Technical University of Dresden, DE)
Alessandro Barenghi (Polytechnic University of Milan, IT)
Djamal Belazzougui (CERIST, DZ)
Marcello Bonsangue (Leiden University, NL)
Flavio Corradini (University of Camerino, IT)
Bruno Courcelle (University of Bordeaux, FR)
Laurent Doyen (ENS Paris-Saclay, FR)
Manfred Droste (Leipzig University, DE)
Rudolf Freund (Technical University of Vienna, AT)
Paweł Gawrychowski (University of Wrocław, PL)
Tero Harju (University of Turku, FI)
Jeffrey Heinz (Stony Brook University, US)
Lane A. Hemaspaandra (University of Rochester, US)
Marcin Jurdziński (University of Warwick, UK)
Juhani Karhumäki (University of Turku, FI)
Jarkko Kari (University of Turku, FI)
Dexter Kozen (Cornell University, US)
François Le Gall (Kyoto University, JP)
Markus Lohrey (University of Siegen, DE)
Parthasarathy Madhusudan (University of Illinois, Urbana-Champaign, US)
Sebastian Maneth (University of Bremen, DE)
Nicolas Markey (IRISA, Rennes, FR)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Giancarlo Mauri (University of Milano-Bicocca, IT)
Victor Mitrana (University of Bucharest, RO)
Paliath Narendran (University at Albany, US)
Gennaro Parlato (University of Molise, IT)
Dominique Perrin (University of Paris-Est, FR)
Nir Piterman (Chalmers University of Technology, SE)
Sanguthevar Rajasekaran (University of Connecticut, US)
Antonio Restivo (University of Palermo, IT)
Wojciech Rytter (University of Warsaw, PL)
Kai Salomaa (Queen’s University, CA)
Helmut Seidl (Technical University of Munich, DE)
William F. Smyth (McMaster University, CA)
Jiří Srba (Aalborg University, DK)
Edward Stabler (University of California, Los Angeles, US)
Benjamin Steinberg (City University of New York, US)
Frank Stephan (National University of Singapore, SG)
Jan van Leeuwen (Utrecht University, NL)
Margus Veanes (Microsoft Research, US)
Tomáš Vojnar (Brno University of Technology, CZ)
Mikhail Volkov (Ural Federal University, RU)
James Worrell (University of Oxford, UK)
ORGANIZING COMMITTEE:
Alberto Leporati (Milan, co-chair)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
Rafael Peñaloza Nyssen (Milan)
Dana Shapira (Ariel)
David Silva (London, co-chair)
Bianca Truthe (Giessen)
Claudio Zandron (Milan, co-chair)
SUBMISSIONS:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). If necessary, exceptionally authors are allowed to provide missing proofs in a clearly marked appendix.
Submissions have to be uploaded to:
https://easychair.org/conferences/?conf=lata2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS series will be available by the time of the conference.
A special issue of the journal Information and Computation (Elsevier, 2018 JCR impact factor: 1.077) will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
REGISTRATION:
The registration form can be found at:
https://lata2020.irdta.eu/registration
DEADLINES (all at 23:59 CET):
Paper submission: October 18, 2019
Notification of paper acceptance or rejection: November 25, 2019
Final version of the paper for the LNCS proceedings: December 2, 2019
Early registration: December 2, 2019
Late registration: February 17, 2020
Submission to the journal special issue: June 6, 2020
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
Università degli Studi di Milano-Bicocca
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
SLSP 2019: call for participation*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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7th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING
SLSP 2019
Ljubljana, Slovenia
October 14-16, 2019
Co-organized by:
Jožef Stefan Institute
Institute for Research Development, Training and Advice (IRDTA), Brussels/London
http://slsp2019.irdta.eu/
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PROGRAM
Monday, October 14
09:00 - 09:30 Registration
09:30 - 09:40 Opening
09:40 - 10:30 Jure Leskovec. Learning and Reasoning with Knowledge Graphs - Invited lecture
10:30 - 11:00 Break
11:00 - 12:40
Izidor Mlakar, Darinka Verdonik, Simona Majhenic and Matej Rojc. Towards Pragmatic Understanding of Conversational Intent: A Multimodal Annotation Approach to Multiparty Informal Interaction – the EVA Corpus
Matthieu Riou, Bassam Jabaian, Stéphane Huet and Fabrice Lefèvre. Lilia, a Showcase for Fast Bootstrap of Conversation-like Dialogues Based on a Goal-oriented System
Natalia Tomashenko, Antoine Caubrière, Yannick Estève, Antoine Laurent and Emmanuel Morin. Recent Advances in End-to-end Spoken Language Understanding
Adrien Bardet, Fethi Bougares and Loïc Barrault. A Study on Multilingual Transfer Learning in Neural Machine Translation: Finding the Balance between Languages
12:40 - 14:10 Lunch
14:10 - 15:25
Daphné Chopard and Irena Spasic. A Deep Learning Approach to Self-expansion of Abbreviations Based on Morphology and Context Distance
Ondrej Herman, Miloš Jakubícek, Vojtech Kovár and Pavel Rychlý. Word Sense Induction Using Word Sketches
Tatiana Kachkovskaia. Temporal "Declination" in Different Types of IPs in Russian: Preliminary Results
15:25 - 15:55 Break
15:55 - 16:45
Sammy Khalife, Leo Liberti and Michalis Vazirgiannis. Geometry and Analogies: A Study and Propagation Method for Word Representations
Blaž Škrlj and Senja Pollak. Language Comparison via Network Topology
16:45 - 17:00 Break
17:00 - 17:40 Poster session I
Abdulrahman Alqarafi and Kevin Swingler. Arabic Multi-dialects Multi-modal Sentiment Analysis
Andrejaana Andova and Mitja Luštrek. Four Attempts at Cross-dataset Speech Emotion Recognition
Leila Ben Letaifa, Mikel de Velasco, Raquel Justo and M. Inés Torres. First Steps to Develop a Corpus of Interactions between Elderly and Virtual Agents in Spanish with Emotion Labels
Fuad Mire Hassan and Mark Lee. Multi-stage Stance Detection using Classical and Deep Learning Approaches
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Tuesday, October 15
09:00 - 09:50 Alexandros Potamianos. Emotion and Behavioral Tracking in the Lab and in the Wild - Invited lecture
09:50 - 10:20 Break
10:20 - 11:35
Rimah Amami, Hassan Eraky and Rim Amami. An Incremental System for Voice Pathology Detection Combining Possibilistic SVM and HMM
Ascensión Gallardo-Antolín and Juan Montero. External Attention LSTM Models for Cognitive Load Classification from Speech
Dominik Machácek, Jonáš Kratochvíl, Tereza Vojtechová and Ondrej Bojar. A Speech Test Set of Practice Business Presentations with Additional Relevant Texts
11:35 - 12:05 Break
12:05 - 12:55
Meysam Shamsi, Damien Lolive, Nelly Barbot and Jonathan Chevelu. Investigating the Relation between Voice Corpus Design and Hybrid Synthesis under Reduction Constraint
Nirayo Hailu Gebreegziabher and Andreas Nuernberger. An Amharic Syllable-based Speech Corpus for Continuous Speech Recognition
12:55 - 14:25 Group photo and Lunch
14:25 - 15:40
Diana Geneva, Georgi Shopov and Stoyan Mihov. Building an ASR Corpus Based on Bulgarian Parliament Speeches
Jens Heitkaemper, Thomas Feher, Michael Freitag and Reinhold Haeb-Umbach. A Study on Online Source Extraction in the Presence of Changing Speaker Positions
Sean Robertson, Gerald Penn and Yingxue Wang. Improving Speech Recognition with Drop-in Replacements for f-bank Features
15:40 - 16:10 Break
16:10 - 17:00
Balázs Tarján, György Szaszák, Tibor Fegyó and Péter Mihajlik. Investigation on N-gram Approximated RNNLMs for Recognition of Morphologically Rich Speech
Jan Vanek, Josef Michalek and Josef Psutka. Tuning of Acoustic Modeling and Adaptation Technique for a Real Speech Recognition Task
17:00 - 17:15 Break
17:15 - 17:55 Poster session II
Denis Memmesheimer and Karin Harbusch. Analytical and Visual Support Choosing the Optimal k for Top k Parse Reordering in Natural Language Ambiguity Resolution
Shamila Nasreen and Matthew Purver. Interaction Patterns in Conversations with Alzheimer's Patients
Rémi Uro, Marc Evrard, Nicolas Hervé and Béatrice Mazoyer. The Constitution of a French Tweet Corpus for Automatic Stance Detection
Olga Yakovenko and Ivan Bondarenko. Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems
18:00 - 20:00 Touristic visit
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Wednesday, October 16
09:00 - 09:50 Odette Scharenborg. The Representation and Processing of Speech in Human Listeners and Deep Neural Network-based Automatic Speech Recognition Systems - Invited lecture
09:50 - 10:20 Break
10:20 - 11:35
Luís Barbosa, João Filgueiras, Gil Rocha, Henrique Lopes Cardoso, Luis Paulo Reis, João Pedro Machado, Ana Cristina Caldeira and Ana Maria Oliveira. Automatic Identification of Economic Activities in Complaints
Rajarshi Biswas, Michael Barz, Aditya Mogadala, Dietrich Klakow and Daniel Sonntag. Automatic Judgement of Neural Network-Generated Image Captions
Fuad Mire Hassan and Mark Lee. Imbalanced Stance Detection by Combining Deep Learning and External Features
11:35 - 11:50 Break
11:50 - 13:05
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj, Daniela Zaharie and Marko Robnik-Šikonja. Prediction Uncertainty Estimation for Hate Speech Classification
Polina Panicheva and Tatiana Litvinova. Authorship Attribution in Russian in Real-World Forensics Scenario
Blaž Škrlj, Andraž Repar and Senja Pollak. RaKUn: Rank-based Keyword Detection via Unsupervised Learning and Meta Vertex Aggregation
13:05 - 13:15 Closing
13:15 Lunch
BigDat 2020: early registration October 2*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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6th INTERNATIONAL WINTER SCHOOL ON BIG DATA
BigDat 2020
Ancona, Italy
January 13-17, 2020
Co-organized by:
Department of Information Engineering, Marche Polytechnic University
Institute for Research Development, Training and Advice (IRDTA)
Brussels / London
https://bigdat2020.irdta.eu/
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--- Early registration deadline: October 2, 2019 ---
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SCOPE:
BigDat 2020 will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data, which covers a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, medicine, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, security and privacy, and applications (to biological and health sciences, to business, finance and transportation, to online social networks, etc.). Major challenges of analytics, management and storage of big data will be identified through 2 keynote lectures and 24 four-hour and a half courses, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2020 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
VENUE:
BigDat 2020 will take place in Ancona, a city founded by Greek settlers and today one of the main ports on the Adriatic Sea. The venue will be:
Department of Information Engineering
Marche Polytechnic University
Via Brecce Bianche 12
60131 Ancona
KEYNOTE SPEAKERS: (to be completed)
Jie Tang (Tsinghua University), Graph Embedding and Reasoning
PROFESSORS AND COURSES: (to be completed)
Sanchita Bhattacharya (University of California, San Francisco), [introductory/advanced] Big Data in Immunology: Sharing, Dissemination, and Repurposing
Diego Calvanese (Free University of Bozen-Bolzano), [introductory] Virtual Knowledge Graphs for Data Integration
Sheelagh Carpendale (University of Calgary), [introductory] Data Visualization
Nitesh V. Chawla (University of Notre Dame), [intermediate/advanced] Learning from Imbalanced Data
Amr El Abbadi (University of California, Santa Barbara), [introductory/intermediate] An Introduction to Blockchain
Charles Elkan (University of California, San Diego), [intermediate] A Rapid Introduction to Modern Deep Learning
Jiawei Han (University of Illinois, Urbana-Champaign), [advanced] From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Xiaohua Tony Hu (Drexel University), [introductory/advanced] Data Mining and Analysis in Big Microbiome Data
Craig Knoblock (University of Southern California), [intermediate/advanced] Building Knowledge Graphs
Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences
Bamshad Mobasher (DePaul University), [intermediate] Context-aware Recommender Systems
Jayanti Prasad (Embold Technologies), [introductory/intermediate] Big Code
Lior Rokach and Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems
Peter Rousseeuw (KU Leuven), [introductory] Anomaly Detection by Robust Methods
Asim Roy (Arizona State University), [intermediate] Hardware-based (GPU, FPGA based) Machine Learning – An Overview of Algorithms and Implementation Ideas and Methods
Hanan Samet (University of Maryland), [intermediate] Multidimensional, Spatial, and Metric Data Structures for Sorting in Space and Similarity Searching
Rory Smith (Monash University), [introductory/intermediate] Learning from Data, the Bayesian Way
Mayte Suárez-Fariñas (Icahn School of Medicine at Mount Sinai), [intermediate/advanced] Meta-analysis Methods for High-dimensional Data
Jeffrey Ullman (Stanford University), [introductory] Big-data Algorithms That Aren't Machine Learning
Wil van der Aalst (RWTH Aachen University), [introductory/intermediate] Process Mining: A Very Different Kind of Machine Learning That Can Be Applied in Any Organization
OPEN SESSION
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david(a)irdta.eu by January 5, 2020.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020.
EMPLOYER SESSION:
Firms searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for, to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by January 5, 2020.
ORGANIZING COMMITTEE:
Emanuele Frontoni (Ancona, co-chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
Flavio Tonetto (Ancona, industrial chair)
Domenico Ursino (Ancona, co-chair)
REGISTRATION:
It has to be done at
https://bigdat2020.irdta.eu/registration/
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
ACCOMMODATION:
Suggestions for accommodation will be available in due time.
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
david(a)irdta.eu
ACKNOWLEDGMENTS:
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
CONFINDUSTRIA Marche Nord
CINI AIIS National Lab
TPNC 2019: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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The 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2019) invites researchers to submit poster presentations. TPNC 2019 will be held in Kingston, Ontario on December 9-11, 2019. See
https://tpnc2019.irdta.eu/
Poster presentations are intended to enhance informal interactions with conference participants, at the same time allowing for in-depth discussion.
TOPICS
Presentations displaying novel work in progress on computational principles, models and techniques inspired by information processing in nature are invited. Posters do not need to show final research results. Work that might lead to new interesting developments is welcome.
KEY DATES
Poster submission deadline: November 2, 2019
Notification of poster acceptance or rejection: November 9, 2019
SUBMISSION
Please submit a .pdf abstract through:
https://easychair.org/conferences/?conf=tpnc2019
It should contain the title, author(s) and affiliation, and should not exceed 500 words.
PRESENTATION
Posters will be allocated 10 minutes each in the programme for oral presentation. Moreover, they will remain hanging out during the whole conference for discussion.
PUBLICATION
Posters will not appear in the LNCS proceedings volume of TPNC 2019. However, they will be eligible for submission to the post-conference journal special issue in Natural Computing (Springer, 2018 JCR impact factor: 0.860).
REGISTRATION
At least one author of each accepted poster must register to the conference by November 25, 2019. The registration fare is reduced: 285 Euros. It gives the same rights all other conference participants will have (attendance, copy of the proceedings volume, coffee breaks, lunches). Contributors of regular papers who in addition get a poster accepted must register for the latter independently.
