SLSP 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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8th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING
SLSP 2020
Cardiff, United Kingdom
October 14-16, 2020
Co-organized by:
School of Computer Science and Informatics
Cardiff University
Data Innovation Research Institute
Cardiff University
Institute for Research Development, Training and Advice (IRDTA), Brussels/London
https://irdta.eu/slsp2020/
**********************************************************************************
AIMS:
SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2020, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology.
Previous events took place in Tarragona, Grenoble, Budapest, Pilsen, Le Mans, Mons, and Ljubljana.
VENUE:
SLSP 2020 will take place in Cardiff, the capital of Wales and its political, commercial and cultural centre. The venue will be:
Council Chamber
Glamorgan Building
King Edward VII Ave
Cathays Park
Cardiff
CF10 3WT
https://www.cardiff.ac.uk/visit/accessibility/cathays-park-campus/glamorgan…
SCOPE:
The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to:
Anaphora and coreference resolution
Audio event detection
Authorship identification, plagiarism, and spam filtering
Biases, explainability and interpretability in language and speech processing
Corpora and resources for speech and language
Data mining, term extraction, and semantic web
Dialogue systems and spoken language understanding
Information retrieval and information extraction
Knowledge representation and ontologies
Lexicons and dictionaries
Machine translation and computer-aided translation
Multimodal technologies
Natural language understanding and generation
Neural representation of speech and language
Opinion mining and sentiment analysis
Part-of-speech tagging, parsing, and semantic role labelling
Question-answering systems for speech and text
Speaker identification and verification
Speech recognition and synthesis
Spelling correction
Text categorization and summarization
Text normalization and inverted text normalization
Text-to-speech
User modeling
Wake word detection
STRUCTURE:
SLSP 2020 will consist of:
invited lectures
peer-reviewed contributions
posters
KEYNOTE SPEAKERS: (to be completed)
John H.L. Hansen (University of Texas, Dallas), Challenges and Advancements in Speaker Diarization & Recognition for Naturalistic Data Streams
Mark A. Hasegawa-Johnson (University of Illinois, Urbana-Champaign), Automatic Discovery of Phoneme Inventories for Speech Technology in Under-resourced Languages
PROGRAMME COMMITTEE:
Mahmoud Al-Ayyoub (Jordan University of Science and Technology, JO)
Chitta Baral (Arizona State University, US)
Jon Barker (University of Sheffield, UK)
Jean-François Bonastre (University of Avignon, FR)
Fethi Bougares (University of Le Mans, FR)
Felix Burkhardt (audEERING, DE)
Nicoletta Calzolari (National Research Council, IT)
Bill Campbell (Amazon, US)
Angel Chang (Simon Fraser University, CA)
Kenneth W. Church (Baidu Research, US)
Philipp Cimiano (Bielefeld University, DE)
Carol Espy-Wilson (University of Maryland, US)
Nikos Fakotakis (University of Patras, GR)
Marcello Federico (Amazon AI, US)
Robert Gaizauskas (University of Sheffield, UK)
Ondřej Glembek (Brno University of Technology, CZ)
Ralph Grishman (New York University, US)
Thomas Hain (University of Sheffield, UK)
Gareth Jones (Dublin City University, IE)
Martin Karafiát (Brno University of Technology, CZ)
Philipp Koehn (Johns Hopkins University, US)
Haizhou Li (National University of Singapore, SG)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Seiichi Nakagawa (Chubu University, JP)
Fuchun Peng (Facebook, US)
Stephen Pulman (University of Oxford, UK)
Matthew Purver (Queen Mary University of London, UK)
Paolo Rosso (Technical University of Valencia, ES)
Diana Santos (University of Oslo, NO)
Irena Spasić (Cardiff University, UK)
Tomek Strzalkowski (Rensselaer Polytechnic Institute, US)
Erik Tjong Kim Sang (Netherlands eScience Center, NL)
Tomoki Toda (Nagoya University, JP)
Isabel Trancoso (Instituto Superior Técnico, PT)
K. Vijay-Shanker (University of Delaware, US)
Hsin-Min Wang (Academia Sinica, TW)
Andy Way (Dublin City University, IE)
Caiming Xiong (Salesforce, US)
Steve Young (University of Cambridge, UK)
Wlodek Zadrozny (University of North Carolina Charlotte, US)
Guodong Zhou (Soochow University, CN)
ORGANIZING COMMITTEE:
Luis Espinosa-Anke (Cardiff)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Irena Spasić (Cardiff, 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=slsp2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS/LNAI 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://irdta.eu/slsp2020/registration/
DEADLINES (all at 23:59 CET):
Paper submission: June 1, 2020
Notification of paper acceptance or rejection: July 6, 2020
Final version of the paper for the LNCS/LNAI proceedings: July 15, 2020
Early registration: July 15, 2020
Late registration: September 30, 2020
Submission to the journal special issue: January 16, 2021
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
School of Computer Science and Informatics, Cardiff University / Prifysgol Caerdydd
Data Innovation Research Institute, Cardiff University / Prifysgol Caerdydd
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
SLSP 2020: 1st call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
**********************************************************************************
8th INTERNATIONAL CONFERENCE ON STATISTICAL LANGUAGE AND SPEECH PROCESSING
SLSP 2020
Cardiff, United Kingdom
October 14-16, 2020
Co-organized by:
School of Computer Science and Informatics
Cardiff University
Data Innovation Research Institute
Cardiff University
Institute for Research Development, Training and Advice (IRDTA), Brussels/London
https://irdta.eu/slsp2020/
**********************************************************************************
AIMS:
SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2020, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology.
Previous events took place in Tarragona, Grenoble, Budapest, Pilsen, Le Mans, Mons, and Ljubljana.
VENUE:
SLSP 2020 will take place in Cardiff, the capital of Wales and its political, commercial and cultural centre. The venue will be:
Council Chamber
Glamorgan Building
King Edward VII Ave
Cathays Park
Cardiff
CF10 3WT
https://www.cardiff.ac.uk/visit/accessibility/cathays-park-campus/glamorgan…
SCOPE:
The conference invites submissions discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to:
Anaphora and coreference resolution
Audio event detection
Authorship identification, plagiarism, and spam filtering
Biases, explainability and interpretability in language and speech processing
Corpora and resources for speech and language
Data mining, term extraction, and semantic web
Dialogue systems and spoken language understanding
Information retrieval and information extraction
Knowledge representation and ontologies
Lexicons and dictionaries
Machine translation and computer-aided translation
Multimodal technologies
Natural language understanding and generation
Neural representation of speech and language
Opinion mining and sentiment analysis
Part-of-speech tagging, parsing, and semantic role labelling
Question-answering systems for speech and text
Speaker identification and verification
Speech recognition and synthesis
Spelling correction
Text categorization and summarization
Text normalization and inverted text normalization
Text-to-speech
User modeling
Wake word detection
STRUCTURE:
SLSP 2020 will consist of:
invited lectures
peer-reviewed contributions
posters
KEYNOTE SPEAKERS:
tba
PROGRAMME COMMITTEE:
Mahmoud Al-Ayyoub (Jordan University of Science and Technology, JO)
Chitta Baral (Arizona State University, US)
Jon Barker (University of Sheffield, UK)
Jean-François Bonastre (University of Avignon, FR)
Fethi Bougares (University of Le Mans, FR)
Felix Burkhardt (audEERING, DE)
Nicoletta Calzolari (National Research Council, IT)
Bill Campbell (Amazon, US)
Angel Chang (Simon Fraser University, CA)
Kenneth W. Church (Baidu Research, US)
Philipp Cimiano (Bielefeld University, DE)
Carol Espy-Wilson (University of Maryland, US)
Nikos Fakotakis (University of Patras, GR)
Marcello Federico (Amazon AI, US)
Robert Gaizauskas (University of Sheffield, UK)
Ondřej Glembek (Brno University of Technology, CZ)
Ralph Grishman (New York University, US)
Thomas Hain (University of Sheffield, UK)
Gareth Jones (Dublin City University, IE)
Martin Karafiát (Brno University of Technology, CZ)
Philipp Koehn (Johns Hopkins University, US)
Haizhou Li (National University of Singapore, SG)
Carlos Martín-Vide (Rovira i Virgili University, ES, chair)
Seiichi Nakagawa (Chubu University, JP)
Fuchun Peng (Facebook, US)
Stephen Pulman (University of Oxford, UK)
Matthew Purver (Queen Mary University of London, UK)
Paolo Rosso (Technical University of Valencia, ES)
Diana Santos (University of Oslo, NO)
Irena Spasić (Cardiff University, UK)
Tomek Strzalkowski (Rensselaer Polytechnic Institute, US)
Erik Tjong Kim Sang (Netherlands eScience Center, NL)
Tomoki Toda (Nagoya University, JP)
Isabel Trancoso (Instituto Superior Técnico, PT)
K. Vijay-Shanker (University of Delaware, US)
Hsin-Min Wang (Academia Sinica, TW)
Andy Way (Dublin City University, IE)
Caiming Xiong (Salesforce, US)
Steve Young (University of Cambridge, UK)
Wlodek Zadrozny (University of North Carolina Charlotte, US)
Guodong Zhou (Soochow University, CN)
ORGANIZING COMMITTEE:
Luis Espinosa-Anke (Cardiff)
Sara Morales (Brussels)
Manuel Parra-Royón (Granada)
David Silva (London, co-chair)
Irena Spasić (Cardiff, 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=slsp2020
PUBLICATIONS:
A volume of proceedings published by Springer in the LNCS/LNAI 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://irdta.eu/slsp2020/registration/
DEADLINES (all at 23:59 CET):
Paper submission: June 1, 2020
Notification of paper acceptance or rejection: July 6, 2020
Final version of the paper for the LNCS/LNAI proceedings: July 15, 2020
Early registration: July 15, 2020
Late registration: September 30, 2020
Submission to the journal special issue: January 16, 2021
QUESTIONS AND FURTHER INFORMATION:
david (at) irdta.eu
ACKNOWLEDGMENTS:
School of Computer Science and Informatics, Cardiff University / Prifysgol Caerdydd
Data Innovation Research Institute, Cardiff University / Prifysgol Caerdydd
IRDTA – Institute for Research Development, Training and Advice, Brussels/London
Hilsener,
Jeg ser etter en slektning til vеr avdшde klient som dшde i den syriske borgerkrigen. Er i regnskapsrevisjonsavdelingen og hans personlige rеdgiver og leter etter sine nжrmeste. Min grunn til е ta denne kontakten til deg for е sikre pengeoverfшring med banken vеr: Ј 21 500 000,00 som tilhшrer min avdшde kunde.
Jeg ber om ditt samtykke slik at jeg kan presentere deg for banken som en slektning til min avdшde klient siden dere begge har samme etternavn.
Midlene / pengene vil da bli overfшrt til deg som eneste mottaker, og vi skal dele opp i henhold til et foreslеtt forhold, dvs. 50% til meg og 40% til deg mens 10% er for eventuelle utgifter.
Kontakt meg for mer informasjon og gi meg fшlgende nedenfor, ettersom vi har 7 arbeidsdager til е gjennomfшre det. Det er veldig presserende.
1. Fullt navn:
2. Ditt direkte mobilnummer:
3. Din kontaktadresse:
4. Yrke:
5. Alder:
6. Sex:
7. Nasjonalitet:
Takk for meg i pеvente av ditt viktige svar.
Hilsen respektfullt
Dr. D. Dayal
DeepLearn 2020: early registration March 26*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
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4th INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING
DeepLearn 2020
León, Guanajuato, Mexico
July 27-31, 2020
Co-organized by:
Center for Research in Mathematics, A.C. (CIMAT-CONACyT)
Guanajuato
Institute for Research Development, Training and Advice (IRDTA)
Brussels/London
https://irdta.eu/deeplearn2020/
***************************************************************
--- Early registration deadline: March 26, 2020 ---
***************************************************************
SCOPE:
DeepLearn 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 deep learning. Previous events were held in Bilbao, Genova and Warsaw.
Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 20 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, DeepLearn 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.
VENUE:
DeepLearn 2020 will take place in León, the most populous city in the state of Guanajuato, in central Mexico, and a major economic pole in the country with specialization in leather industry. The venue will be:
Poliforum León
Blvd. Adolfo López Mateos esq. Blvd. Francisco Villa
Col. Oriental, León, Gto., Mexico, C.P. 37510
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.
PROFESSORS AND COURSES:
Rick S. Blum (Lehigh University), [introductory/intermediate] Deep Learning and Cybersecurity
Ben Brown (Lawrence Berkeley National Laboratory), [introductory/advanced] Explainable AI (XAI) Techniques for Science and Engineering -- Toward Statistical Inference for the 21st Century
Georgios Giannakis (University of Minnesota), [advanced] Ensembles for Interactive and Deep Learning Machines with Scalability, Expressivity, and Adaptivity
Çağlar Gülçehre (DeepMind), [intermediate/advanced] Deep Reinforcement Learning
Vincent Lepetit (ENPC ParisTech), [intermediate] Deep Learning and 3D Geometry
Geert Leus (Delft University of Technology), [introductory/intermediate] Graph Signal Processing: Introduction and Connections to Distributed Optimization and Deep Learning
Andy Liaw (Merck Research Labs), [introductory] Deep Learning and Statistics: Better Together
Abdelrahman Mohamed (Facebook AI Research), [introductory/advanced] Recent Advances in Automatic Speech Recognition
Jan Peters (Technical University of Darmstadt), [intermediate] Robot Learning
Massimiliano Pontil (Italian Institute of Technology), [intermediate/advanced] Statistical Learning Theory
Jose Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video
Fedor Ratnikov (National Research University Higher School of Economics), [introductory] Specifics of Applying Machine Learning to Problems in Natural Science
Salim Roukos (IBM Research AI), [intermediate/advanced] Deep Learning Methods for Natural Language Processing
Björn Schuller (Imperial College London), [introductory/intermediate] Deep Signal Processing
Alex Smola (Amazon), [introductory/advanced] Dive into Deep Learning
Sargur N. Srihari (University at Buffalo), [introductory] Generative Models in Deep Learning
Kunal Talwar (Google Brain), [intermediate] Differentially Private Machine Learning
René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning
Haixun Wang (WeWork), [introductory/intermediate] Conceptual Understanding and Machine Learning
Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects
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 the title, authors, and summary of the research to david(a)irdta.eu by July 19, 2020.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning 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 July 19, 2020.
EMPLOYER SESSION:
Firms searching for personnel well skilled in deep learning 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 July 19, 2020.
ORGANIZING COMMITTEE:
Teresa Efigenia Alarcón Martínez (Guadalajara)
Oscar Dalmau Cedeño (Guanajuato, co-chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Manuel J. Parra-Royón (Granada)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
https://irdta.eu/deeplearn2020/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 tool 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:
Centro de Investigación en Matemáticas, A.C. (CIMAT-CONACyT) – Guanajuato
Centro Universitario de los Valles, Universidad de Guadalajara
Institute for Research Development, Training and Advice (IRDTA) – Brussels/London
[Apologies for multiple postings.]
======================================================================
Various Research Assistants/Associates
in the post-graduate program UnRAVeL
“Uncertainty and Randomness in Algorithms, Verification and Logic”
at RWTH Aachen University, Aachen, Germany
======================================================================
Context.
The RWTH Aachen University is looking for enthusiastic and highly
qualified doctoral researchers. Various positions are available within
the interdisciplinary Research Training Group (RTG) UnRAVeL founded by
Deutsche Forschungsgemeinschaft (DFG). The key emphasis of an RTG is on
the qualification of doctoral researchers with a focused research
program and a structured training strategy. The RTG UnRAVeL aims to
significantly advance probabilistic modelling and analysis for
uncertainty by developing new theories, algorithms, and tool-supported
verification techniques, and to apply them to core problems from
security (e.g., probabilistic protocols), planning (robotics and railway
engineering), and safety and performance analysis (railway systems). To
tackle these research challenges, theoretical computer scientists from
computer-aided verification, logic and games, algorithms and complexity,
together with experts from management science (robust optimization),
applied computer science (robotics and security), and railway
engineering intensively cooperate within the RTG UnRAVeL.
Required profile.
Candidates must have (or soon obtain) a master degree in Computer
Science, Mathematics or related area and have completed their studies
with excellent grades. You should have interest in performing original,
highly competitive scientific research, publishing your results in top
conferences and scientific journals. Self-motivation and the ability to
work both independently and as a team player in local and international
research groups are expected. Fluency in English is required;
proficiency in German is helpful but not compulsory.
How to apply?
Your written application should contain:
- a curriculum vitae
- a transcript of records (list of courses and grades)
- a cover letter including a statement of interest in (some of) the
RTG topics (Algorithms and Complexity, Verification, Logic, or
Application Scenarios) that can be found on our web-site, and
- a recommendation letter e.g., by your master thesis supervisor(s).
All documents should be formatted as a single pdf-file. You should send
your application ultimately by ** March 31, 2020 (AoE) ** to the e-mail
address: unravel-appl(a)cs.rwth-aachen.de
What do we offer?
We offer a stimulating international research environment, the
possibility to participate in highly competitive and interdisciplinary
research and the opportunity to involve students in your research
through project work. Doctoral researchers have a status as employee
with a salary according to the German federal employee scale TV-L E13;
the exact salary is subject to your family situation. The duration of
the positions is three years. RWTH Aachen University offers excellent
facilities for professional and personal development. Starting date of
the positions: between October 1, 2020 and January 1, 2021.
More information about the RTG UnRAVeL can be found at:
unravel.rwth-aachen.de
Enquiries can be directed to Prof. Joost-Pieter Katoen (e-mail:
katoen(a)cs.rwth-aachen.de).
RWTH Aachen University is certified as a “Family-Friendly University”.
We particularly welcome and encourage applications from women, disabled
persons and ethnic minority groups, recognizing they are
underrepresented across RWTH Aachen University. The principles of fair
and open competition apply and appointments will be made on merit.
AlCoB 2020: call for posters*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
----------------------------------------------------------------------------------------------------------
The 7th International Conference on Algorithms for Computational Biology (AlCoB 2020) invites researchers to submit poster presentations. AlCoB 2020 will be held in Missoula, Montana on April 13-15, 2020. See:
https://alcob2020.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 algorithms in computational biology are encouraged on the following topics:
- assembling sequence reads into a complete genome,
- identifying gene structures in the genome,
- recognizing regulatory motifs,
- aligning nucleotides and comparing genomes,
- reconstructing regulatory networks of genes, and
- inferring the evolutionary phylogeny of species.
Posters do not need to show final research results. Work that might lead to new interesting developments is welcome.
KEY DATES
Poster submission deadline: March 6, 2020
Notification of poster acceptance or rejection: March 13, 2020
SUBMISSION
Please upload a .pdf submission to:
https://easychair.org/conferences/?conf=alcob2020
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/LNBI proceedings volume of AlCoB 2020. However, they will be eligible for submission to the post-conference journal special issue.
REGISTRATION
At least one author of each accepted poster must register to the conference by March 20, 2020. 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.