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DataValoris : Lancement officiel de la campagne de financement // DataValoris : We are launching our fundraising !

von JEAN-PATRICE GLAFKIDES depuis Ayomi

ENGLISH VERSION BELOW _______________________ Cher reseau, Je vous contacte au sujet de mon entreprise : **[DataValoris](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\])** **Gagnant du Challenge Sanofi lors du salon VIVATECH 2019**, laureat du Total Developpement Regional, et du Reseau Entreprendre. **DataValoris **repousse les limites actuelles de l'IA avec sa **technologie exclusive qui permet de cr eer des IA Mutantes plus performante** ! **Nous d eveloppons la nouvelle generation d'intelligence artificielle (IA). ** Rejoignez-nous et faites partie de ceux qui vont permettre de changer les **Intelligences Artificielles** telles que nous les connaissons. Afin d'accompagner la croissance de la societe et nos nombreux axes de developpement, nous avons decide de lancer **_une lev ee de fonds sur une courte periode, 28 jours_, sur la plateforme Ayomi**, **en ouvrant son capital à hauteur **de 315 000 €**.** **Vous pouvez vous rendre sur la page projet pour y trouver une description plus d etaillee et les documents officiels : [DATAVALORIS](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\])** _ **Modalit es d'investissement**:_ \- Lien de la page de crowdfunding > [DataValoris](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\]) \- Prix Unitaire : **300.0 € l'action** \- Ticket minimum : **600.0 € , soit 2 actions de la société.** \- Exemple : **1 200.0 € investis correspondent à 4 actions de l'entreprise , et octroient une réduction d'impôt de 216.0 € ** \- **0 € de frais d'investissement : c'est gratuit d'investir via AYOMI , en sus vous avez un compte titre pour suivre l'évolution de la valeur des actions, gratuitement** Le **Jeudi 13 Juin à 19:00** , nous organisons une presentation de notre societe **en ligne, accessible depuis un smartphone ou un ordinateur**. Pour vous inscrire a l'evenement, il vous suffit de cliquer sur le lien suivant : **[INSCRIPTION](https://ayomi.ovh/landing- ayomi/https://ayomi.fr/cofunding/event/confirmation/?Name_First=\[%first_name%\]&Name_Last=\[%last_name%\]&Email=\[%email%\]&SingleLine=2771&Date=13%2F6%2F2019)** _PS :_ Si vous avez plus de questions, vous pouvez echanger avec les equipes gerant la campagne au **+33(0) 7 57 93 36 93** __ ou [prenez rv ici directement dans son agenda](https://calendly.com/sophie-pidault-5-min/5 -minutes-pour-un-call/) Merci, __ **Jean-patrice GLAFKIDES Président Fondateur jp1** _L 'investissement s'effectue via la plateforme securisee AYOMI qui est une plateforme de financement participatif presente en France et en Belgique. La plateforme a leve 1 Million d'euros en Mars 2018 pour elle-meme. Elle a les agrements necessaires aupres de l'Autorite des Marches Financiers et plus de 9 Millions d'euros y ont transite pour differentes societes._ __________________ ENGLISH VERSION _ _________________ Dear Network, I am contacting you about my company: **[DataValoris](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\])** **Winner** of the **Sanofi Challenges during VIVATECH 2019** , **laureate of the Total D eveloppement Regional** and of the **R eseau Entreprendre**! **Datavaloris** push the limits of the current AI with its exclusive technology that allows to create AI Mutants! **DataValoris develop the new generation of artificial intelligence! ** Join us and be one of those who will change AI as we know it. In order to support the growth of the company and their many development axes, we have decided to organise a **_fundraising over a period of 28 days_ , via the Ayomi platform**, **for an amount **of 315 000 €**** For more information about the company, the product and project, please click here : **[DataValoris](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\])** **Investment terms** : \- Click here to discover the investment opportunity > [DataValoris](https://ayomi.ovh/url/projet/fonction/2771/?email=\[%email%\]) \- Unit cost : **300.0 € per share** \- Ticket minimum : **600.0 € , ie 2 shares of the company.** \- Exemple : **1 200.0 € invested correspond to 4 company shares and allow (in France) a tax deduction of 216.0 € ** \- **0 € as investment fee : no charge for investing via AYOMI , besides an investment account is created for free to follow the evolution of your portfolio** Thursday 13th of June at 19:00, we organize a meeting online, accessible from a smartphone or PC . To subscribe and be part of the audience, please register her : [Thursday 13th of June at 19:00](https://ayomi.ovh/landing- ayomi/https://ayomi.fr/cofunding/event/confirmation/?Name_First=\[%first_name%\]&Name_Last=\[%last_name%\]&Email=\[%email%\]&SingleLine=2771&Date=13%2F6%2F2019) _For more information you can contact the team handling the fundraising campaign:_ +33(0) 7 57 93 36 93 or organise an appointment by clicking here: [AGENDA](https://calendly.com/sophie-pidault-5-min/5-minutes-pour-un-call/) Thanks, __ ** **Jean-patrice GLAFKIDES Président Fondateur jp1**** _The investment is made via the secure platform AYOMI which is a crowdfunding platform present in France and Belgium. The platform raised 1 million euros in March 2018 for itself. It holds the necessary approvals from the Autorit e des Marches Financiers and raised more than 9 million euros for various companies._ | | ![](https://marketing-image- production.s3.amazonaws.com/uploads/8c0a818877004898dd2e65750751e29a3a3f1ce…) --- Cet email a été envoyé à d-con(a)lists.rwth-aachen.de parce que vous faites parti du réseau de Jean-Patrice GLAFKIDES Ayomi est une fintech qui permet aux entreprises d'obtenir des financements au sein de leur réseau de confiance. Si vous êtes en recherche de financement vous pouvez prendre un rendez-vous avec un conseiller AYOMI au +33 (0)7 55 54 05 56 ou via ce [lien de rdv](https://calendly.com/analystayomi/30min/) 01 rue de Hauteville, Paris, Il 75010 http://url6731.ayomi.ovh/asm/unsubscribe/?user_id=6880654&data=iw05rzi6n9sj…

5 Jahre, 1 Monat

DeepLearn 2019: early registration June 22

von IRDTA

DeepLearn 2019: early registration June 22*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* *************************************************************** 3rd INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2019 Warsaw, Poland July 22-26, 2019 Co-organized by: Institute of Computer Science, Polish Academy of Sciences IRDTA – Brussels/London http://deeplearn2019.irdta.eu/ *************************************************************** --- Early registration deadline: June 22, 2019 --- *************************************************************** SCOPE: DeepLearn 2019 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning 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 3 keynote lectures and 23 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 2019 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: DeepLearn 2019 will take place in Warsaw, whose historical Old Town was designated a UNESCO World Heritage Site. The venue will be: Global Expo Modlinska 6D 03-216 Warsaw KEYNOTE SPEAKERS: Maria-Florina Balcan (Carnegie Mellon University), Data Driven Clustering Mark Gales (University of Cambridge), Use of Deep Learning in Non-native Spoken English Assessment Mihaela van der Schaar (University of Cambridge), Learning Engines for Healthcare: Using Machine Learning to Transform Clinical Practice and Discovery PROFESSORS AND COURSES: Christopher Bishop (Microsoft Research Cambridge), [introductory] Introduction to the Key Concepts and Techniques of Machine Learning Aaron Courville (University of Montréal), [introductory/intermediate] Deep Generative Models Issam El Naqa (University of Michigan), [introductory/intermediate] Deep Learning for Biomedicine Sergei V. Gleyzer (University of Florida), [introductory/intermediate] Feature Extraction, End-end Deep Learning and Applications to Very Large Scientific Data: Rare Signal Extraction, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Vasant Honavar (Pennsylvania State University), [introductory/intermediate] Causal Models for Making Sense of Data Qiang Ji (Rensselaer Polytechnic Institute), [introductory/intermediate] Probabilistic Deep Learning for Computer Vision James Kwok (Hong Kong University of Science and Technology), [introductory/intermediate] Compressing Neural Networks Tomas Mikolov (Facebook), [introductory] Using Neural Networks for Modeling and Representing Natural Languages (with Piotr Bojanowski and Armand Joulin) Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Fabio Roli (University of Cagliari), [introductory/intermediate] Adversarial Machine Learning Björn Schuller (Imperial College London), [introductory/intermediate] Deep Learning for Intelligent Signal Processing Alex Smola (Amazon), [introductory] Dive into Deep Learning Sargur Srihari (University at Buffalo), [intermediate/advanced] Explainable Artificial Intelligence Ponnuthurai N Suganthan (Nanyang Technological University), [introductory/intermediate] Learning Algorithms for Classification, Forecasting and Visual Tracking Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines Bertrand Thirion (INRIA), [introductory] Understanding the Brain with Machine Learning Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning Haixun Wang (WeWork), [intermediate] Abstractions, Concepts, and Machine Learning Xiaowei Xu (University of Arkansas, Little Rock), [introductory/advanced] Multi-resolution Models for Learning Multilevel Abstract Representations of Text Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects Zhongfei Zhang (Binghamton University), [introductory/advanced] Knowledge Discovery from Complex Data with Deep Learning 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 July 14, 2019. 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. At least one of the people participating in the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 14, 2019. 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. At least one of the 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 14, 2019. ORGANIZING COMMITTEE: Łukasz Kobyliński (Warsaw, co-chair) Sara Morales (Brussels) Manuel J. Parra-Royón (Granada) David Silva (London, co-chair) REGISTRATION: It has to be done at http://deeplearn2019.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: Accommodation can be booked at http://www.deeplearn2019.promoest.com/hp.aspx?s=0 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: Institute of Computer Science, Polish Academy of Sciences Institute for Research Development, Training and Advice (IRDTA) – Brussels/London

5 Jahre, 1 Monat

*****SPAM*****Prague Conferences

von Prague Conferences

Sakarya University, Istanbul University – Cerrahpasa, TOJNED (www.tojned.net), TOJSAT (www.tojsat.net), TOJCAM (www.tojcam.net) & other international universities will organize INTE-2019, ISTEC-2019, ITICAM-2019 conferences in Prague, Czech Republic, between July 3-5, 2019: INTE – 2019 International Conference on New Horizons in Education www.int-e.net July 3-5, 2019 Prague, Czech Republic ISTEC – 2019 Europe International Science and Technology Conference www.iste-c.net July 3-5, 2019 Prague, Czech Republic ITICAM – 2019 International Trends and Issues in Communication & Media Conference www.iticam.net July 3-5, 2019 Prague, Czech Republic If you have no more interest in receiving this, please mail istec(a)news.conferencesnews.net to unsubscribe.

5 Jahre, 1 Monat

SLSP 2019: extended submission deadline June 8

von IRDTA

SLSP 2019: extended submission deadline June 8*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ------------------------------------------------------------------------------ ***** SUBMISSION DEADLINE EXTENDED: June 8 ***** ------------------------------------------------------------------------------ ********************************************************************************** 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/ ********************************************************************************** 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 2019, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2019 will take place in Ljubljana, a charming city full of art and one of the smallest capital cities in Europe. The venue will be: Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia https://www.ijs.si/ijsw/JSI 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 authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding neural representation of speech and language opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2019 will consist of: invited talks peer-reviewed contributions posters INVITED SPEAKERS: Jure Leskovec (Stanford University), Learning and Reasoning with Knowledge Graphs Alexandros Potamianos (National Technical University of Athens), Emotion and Behavioral Tracking in the Lab and in the Wild Odette Scharenborg (Delft University of Technology), The Representation and Processing of Speech in Human Listeners and Deep Neural Network-based Automatic Speech Recognition Systems PROGRAMME COMMITTEE: Jon Barker (University of Sheffield, UK) Roberto Basili (University of Rome Tor Vergata, IT) Pushpak Bhattacharyya (Indian Institute of Technology, Bombay, IN) Fethi Bougares (University of Le Mans, FR) Philipp Cimiano (Bielefeld University, DE) Carol Espy-Wilson (University of Maryland, US) Nikos Fakotakis (University of Patras, GR) Robert Gaizauskas (University of Sheffield, UK) Julio Gonzalo (National Distance Education University, ES) Reinhold Häb-Umbach (Paderborn University, DE) John Hershey (Google, US) Julia Hirschberg (Columbia University, US) Jing Huang (JD AI Research, US) Mei-Yuh Hwang (Mobvoi AI Lab, US) Nancy Ide (Vassar College, US) Martin Karafiát (Brno University of Technology, CZ) Vangelis Karkaletsis (National Center for Scientific Research "Demokritos", GR) Tomi Kinnunen (University of Eastern Finland, FI) Sandra Kübler (Indiana University, US) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David Milne (University of Technology Sydney, AU) Marie-Francine Moens (KU Leuven, BE) Preslav Nakov (Qatar Computing Research Institute, QA) Elmar Nöth (University of Erlangen-Nuremberg, DE) Senja Pollak (Jožef Stefan Institute, SI) Stephen Pulman (University of Oxford, UK) Matthew Purver (Queen Mary University of London, UK) Mats Rooth (Cornell University, US) Tony Russell-Rose (UX Labs, UK) Horacio Saggion (Pompeu Fabra University, ES) Tanja Schultz (University of Bremen, DE) Efstathios Stamatatos (University of the Aegean, GR) Erik Tjong Kim Sang (Netherlands eScience Center, NL) Isabel Trancoso (Instituto Superior Técnico, PT) Josef van Genabith (German Research Center for Artificial Intelligence, DE) K. Vijay-Shanker (University of Delaware, US) Atro Voutilainen (University of Helsinki, FI) Hsin-Min Wang (Academia Sinica, TW) Hua Xu (University of Texas, Houston, US) Edmund S. Yu (Syracuse University, US) François Yvon (CNRS - Limsi, FR) Wlodek Zadrozny (University of North Carolina, Charlotte, US) ORGANIZING COMMITTEE: Tina Anžič (Ljubljana) Jan Kralj (Ljubljana) Matej Martinc (Ljubljana) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Senja Pollak (Ljubljana, co-chair) Matthew Purver (London) David Silva (London, co-chair) Anita Valmarska (Ljubljana) 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). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=slsp2019 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: http://slsp2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: June 8, 2019 – EXTENDED – Notification of paper acceptance or rejection: July 8, 2019 Final version of the paper for the LNCS/LNAI proceedings: July 15, 2019 Early registration: July 15, 2019 Late registration: September 30, 2019 Submission to the journal special issue: January 16, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institut "Jožef Stefan" Institute for Research Development, Training and Advice (IRDTA), Brussels/London

5 Jahre, 1 Monat

International Symposium on Intelligent Manufacturing and Service Systems (IMSS'19)

von IMSS 2019

9-11 September 2019 Sakarya / Turkey Dear Colleague, On behalf of the organizing committee, we are pleased to announce that the 10th International Symposium on Intelligent Manufacturing and Service Systems (IMSS'19) will be held in Sakarya, Turkey during September 9-11, 2019. We would like to inform you that the deadline for abstract submission has been extended to May 30, 2019. For detailed information please visit our website. IMSS is a global knowledge-enriched collaborative effort that has its roots from both academia and industry. The symposium covers a wide spectrum of topics that relate to information society, which includes technical and non-technical research areas including manufacturing, production systems, healthcare, defense, energy and water management, transportation, smart cities, digital government and digital nations, digital transformation. The mission of IMSS symposium is to provide opportunities for collaboration of professionals and researchers to share existing and generate new knowledge in the field of information society. The symposium encapsulates the concept of interdisciplinary science that studies the societal and technological dimensions of knowledge evolution in digital society. IMSS bridges the gap between academia and industry with regards to research collaboration and awareness of current development in secure information management in the digital society. IMSS 2019 themes are Industry 4.0/5.0: Future Mind, Future Society, Postindustrial Society and Our Posthuman Future. There will be held panel discussions in current topics including critics of artificial intelligence and robotics, homo sapiens, and homo deus. You are kindly invited to participate and take advantage of the opportunity to present your unpublished abstracts or/and full-length scientific papers. The official language of the conference is English. Conference details and updates will also be posted in due course on the conference website www.imss.sakarya.edu.tr. Turkish Airlines is the official airline of our conference and special discounts are offered on certain booking classes with event code "056TKH19". Please visit conference website for detailed information. We look forward to hearing from you. Best regards, On behalf of the Symposium Committee Prof. Dr. Zekai ŞEN Symposium Chair KEYNOTE SPEAKERS Andrew Kusiak Maged Dassouky Chen Chun-Hsien Ajith Abraham PUBLICATION OF PAPERS All final papers will be published in the conference proceedings. Authors of selected papers will be invited to submit an extended version of their works for review and potential publication in the Special Issues: Computers & Industrial Engineering (SCI) Journal of Intelligent Manufacturing (SCI-Expanded) Advanced Engineering Informatics (SCI-Expanded) Journal of Information Assurance and Security (ESCI) Periodicals of Engineering and Natural Sciences (Scopus) International Journal of Computer Information Systems and Industrial Management Applications (Scopus) International Journal of Hybrid Intelligent Systems (Scopus) Sakarya University Journal of Science (TR-Dizin) Academic Platform-Journal of Engineering and Science (TR-Dizin) Journal of Network and Innovative Computing Journal of Intelligent Systems: Theory and Applications IMPORTANT DATES Abstract Submission: May 30, 2019 Full Paper Submission: June 15, 2019 Notifification of acceptance: June 30, 2019 End of early registration July 5, 2019 End of late registration August 2, 2019 Symposium September 9-11, 2019 imss.sakarya.edu.tr / imss(a)sakarya.edu.tr You have received this email because you have subscribed to as d-con(a)lists.rwth-aachen.de If you have no more interest in receiving this, please click to unsubscribe.

5 Jahre, 1 Monat

SLSP 2019: 3rd call for papers

von IRDTA

SLSP 2019: 3rd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 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/ ********************************************************************************** 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 2019, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2019 will take place in Ljubljana, a charming city full of art and one of the smallest capital cities in Europe. The venue will be: Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia https://www.ijs.si/ijsw/JSI 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 authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding neural representation of speech and language opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2019 will consist of: invited talks peer-reviewed contributions posters INVITED SPEAKERS: Jure Leskovec (Stanford University), Learning and Reasoning with Knowledge Graphs Alexandros Potamianos (National Technical University of Athens), Emotion and Behavioral Tracking in the Lab and in the Wild Odette Scharenborg (Delft University of Technology), The Representation and Processing of Speech in Human Listeners and Deep Neural Network-based Automatic Speech Recognition Systems PROGRAMME COMMITTEE: Jon Barker (University of Sheffield, UK) Roberto Basili (University of Rome Tor Vergata, IT) Pushpak Bhattacharyya (Indian Institute of Technology, Bombay, IN) Fethi Bougares (University of Le Mans, FR) Philipp Cimiano (Bielefeld University, DE) Carol Espy-Wilson (University of Maryland, US) Nikos Fakotakis (University of Patras, GR) Robert Gaizauskas (University of Sheffield, UK) Julio Gonzalo (National Distance Education University, ES) Reinhold Häb-Umbach (Paderborn University, DE) John Hershey (Google, US) Julia Hirschberg (Columbia University, US) Jing Huang (JD AI Research, US) Mei-Yuh Hwang (Mobvoi AI Lab, US) Nancy Ide (Vassar College, US) Martin Karafiát (Brno University of Technology, CZ) Vangelis Karkaletsis (National Center for Scientific Research "Demokritos", GR) Tomi Kinnunen (University of Eastern Finland, FI) Sandra Kübler (Indiana University, US) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David Milne (University of Technology Sydney, AU) Marie-Francine Moens (KU Leuven, BE) Preslav Nakov (Qatar Computing Research Institute, QA) Elmar Nöth (University of Erlangen-Nuremberg, DE) Senja Pollak (Jožef Stefan Institute, SI) Stephen Pulman (University of Oxford, UK) Matthew Purver (Queen Mary University of London, UK) Mats Rooth (Cornell University, US) Tony Russell-Rose (UX Labs, UK) Horacio Saggion (Pompeu Fabra University, ES) Tanja Schultz (University of Bremen, DE) Efstathios Stamatatos (University of the Aegean, GR) Erik Tjong Kim Sang (Netherlands eScience Center, NL) Isabel Trancoso (Instituto Superior Técnico, PT) Josef van Genabith (German Research Center for Artificial Intelligence, DE) K. Vijay-Shanker (University of Delaware, US) Atro Voutilainen (University of Helsinki, FI) Hsin-Min Wang (Academia Sinica, TW) Hua Xu (University of Texas, Houston, US) Edmund S. Yu (Syracuse University, US) François Yvon (CNRS - Limsi, FR) Wlodek Zadrozny (University of North Carolina, Charlotte, US) ORGANIZING COMMITTEE: Tina Anžič (Ljubljana) Jan Kralj (Ljubljana) Matej Martinc (Ljubljana) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Senja Pollak (Ljubljana, co-chair) Matthew Purver (London) David Silva (London, co-chair) Anita Valmarska (Ljubljana) 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). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=slsp2019 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: http://slsp2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: June 1, 2019 Notification of paper acceptance or rejection: July 8, 2019 Final version of the paper for the LNCS/LNAI proceedings: July 15, 2019 Early registration: July 15, 2019 Late registration: September 30, 2019 Submission to the journal special issue: January 16, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institut "Jožef Stefan" Institute for Research Development, Training and Advice (IRDTA), Brussels/London

5 Jahre, 2 Monate

TPNC 2019: 1st call for papers

von IRDTA

TPNC 2019: 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 THE THEORY AND PRACTICE OF NATURAL COMPUTING TPNC 2019 Kingston, Canada December 9-11, 2019 Co-organized by: Royal Military College of Canada Institute for Research Development, Training and Advice Brussels / London http://tpnc2019.irdta.eu/ **************************************************************************** AIMS: TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2019 will reserve significant room for young scholars at the beginning of their career and particular focus will be put on methodology. The conference aims at attracting contributions to nature-inspired models of computation, synthesizing nature by means of computation, nature-inspired materials, and information processing in nature. VENUE: TPNC 2019 will take place in Kingston, a city midway between Toronto and Montréal with an important military history. The venue will be: Royal Military College of Canada Kingston, Ontario Canada K7K 7B4 https://www.rmc-cmr.ca/en SCOPE: Topics include, but are not limited to: - Theoretical contributions to: ant colony optimization artificial immune systems artificial life cellular automata cognitive computing collective behaviour collective intelligence computational intelligence computing with words developmental systems DNA computing DNA nanotechnology evolutionary algorithms evolutionary computing fuzzy logic fuzzy sets fuzzy systems genetic algorithms genetic programming granular computing heuristics intelligent agents intelligent systems machine intelligence metaheuristics molecular programming multiobjective optimization neural networks quantum communication quantum computing quantum information rough sets self-organization soft computing swarm intelligence unconventional computing - Applications of natural computing to: algorithmics bioinformatics control cryptography design economics graphics hardware human-computer interaction knowledge discovery learning logistics medicine natural language processing optimization pattern recognition planning and scheduling programming robotics telecommunications web intelligence A flexible "theory to/from practice" approach would be the perfect focus for the expected contributions. STRUCTURE: TPNC 2019 will consist of: - invited talks - peer-reviewed contributions - posters INVITED SPEAKERS: tba PROGRAMME COMMITTEE: (to be completed) Thomas Bäck (Leiden University, NL) Mauro Birattari (Université Libre de Bruxelles, BE) Shyi-Ming Chen (National Taiwan University of Science and Technology, TW) Carlos A. Coello Coello (CINVESTAV – National Polytechnic Institute, MX) Marco Dorigo (Université Libre de Bruxelles, BE) Matthias Ehrgott (Lancaster University, UK) Andries Engelbrecht (Stellenbosch University, ZA) Deborah M. Gordon (Stanford University, US) Etienne E. Kerre (Ghent University, BE) Chung-Sheng Li (Accenture, IE) Gui Lu Long (Tsinghua University, CN) Vittorio Maniezzo (University of Bologna, IT) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) Luis Martínez López (University of Jaén, ES) Serge Massar (Université Libre de Bruxelles, BE) Geoffrey Pond (Royal Military College of Canada, CA) Shahab Shamshirband (Norwegian University of Science and Technology, NO) José Luis Verdegay (University of Granada, ES) Xin-She Yang (Middlesex University, UK) Yi Zhang (Sichuan University, CN) ORGANIZING COMMITTEE: Sara Morales (Brussels) Manuel Parra-Royón (Granada) Geoffrey Pond (Kingston, co-chair) David Silva (London, co-chair) Miguel A. Vega-Rodríguez (Cáceres) 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). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=tpnc2019 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 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: http://tpnc2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: July 27, 2019 Notification of paper acceptance or rejection: August 31, 2019 Final version of the paper for the LNCS proceedings: September 7, 2019 Early registration: September 7, 2019 Late registration: November 25, 2019 Submission to the journal special issue: March 11, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Royal Military College of Canada / Collège militaire royal du Canada IRDTA – Institute for Research Development, Training and Advice, Brussels/London

5 Jahre, 2 Monate

*****SPAM*****International Symposium on Intelligent Manufacturing and Service Systems (IMSS'19)

von IMSS 2019

5 Jahre, 2 Monate

AlCoB 2019: call for participation

von IRDTA

AlCoB 2019: call for participation*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 6th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY AlCoB 2019 Berkeley, California, USA May 28-30, 2019 Co-organized by: University of California, Berkeley Institute for Research Development, Training and Advice, Brussels/London http://alcob2019.irdta.eu/ ********************************************************************************** PROGRAM Tuesday, May 28 09:00 - 09:30 Registration 09:30 - 09:40 Opening 09:40 - 10:30 Igor Jurisica. Explanable AI for Data-driven Medicine - Invited lecture 10:30 - 10:45 Break 10:45 - 12:00 Tom Davot, Annie Chateau, Rodolphe Giroudeau and Mathias Weller. New Polynomial-time Algorithm around the Scaffolding Problem Ozan Kahramanogullari. Enumerating Dominant Pathways in Biological Networks by Information Flow Analysis Sridevi Maharaj, Zarin Ohiba and Wayne Hayes. Comparing Different Graphlet Measures for Evaluating Network Model Fits to BioGRID PPI Networks 12:00 - 13:30 Lunch 13:30 - 14:20 Lior Pachter. Algorithms for Single-cell Genomics - Invited lecture 14:20 - 14:35 Break 14:35 - 15:50 Louis Petingi and Tamar Schlick. Graph-theoretic Partitioning of RNAs and Classification of Pseudoknots Alexander Shlemov and Anton Korobeynikov. PathRacer: Racing Profile HMM Paths on Assembly Graph Pavel Avdeyev, Maria Atamanova, and Max A. Alekseyev. A Uniform Theory of Adequate Subgraphs for the Genome Median, Halving, and Aliquoting Problems 15:50 - 17:00 Poster session I --- Wednesday, May 29 09:30 - 10:20 Pavel A. Pevzner. Bioinformatics: A Servant or the Queen of Molecular Biology? - Invited lecture 10:20 - 10:35 Break 10:35 - 11:50 Veronica Guerrini and Giovanna Rosone. Lightweight Metagenomic Classification via eBWT Christopher Wright, Sriram Krishnamoorty and Milind Kulkarni. MULKSG: MULtiple K Simultaneous Graph Assembly João Paulo Pereira Zanetti, Leonid Chindelevitch and João Meidanis. Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance 11:50 - 13:20 Group photo and Lunch 13:20 - 14:10 Teresa Przytycka. Exploring Phenotypic Heterogeneity across Tissues and Conditions with Network-based Approaches - Invited lecture 14:10 - 14:25 Break 14:25 - 15:40 João Paulo Pereira Zanetti, Leonid Chindelevitch and João Meidanis. Generalizations of the Genomic Rank Distance to Indels Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao and Tandy Warnow. Using INC within Divide-and-Conquer Phylogeny Estimation Alona Levy-Jurgenson, Xavier Tekpli, Vessela N. Kristensen and Zohar Yakhini. Predicting Methylation from Sequence and Gene Expression Using Deep Learning with Attention 15:40 - 16:50 Poster session II 17:00 Walk around the campus --- Thursday, May 30 09:30 - 10:20 Tandy Warnow. Advances in Mathematical Approaches to Constructing the Tree of Life - Invited lecture 10:20 - 10:35 Break 10:35 - 11:50 Kari Nousiainen, Jukka Intosalmi and Harri Lähdesmäki. A Mathematical Model for Enhancer Activation Kinetics during Cell Differentiation Atif Rahman and Lior Pachter. Transcript Abundance Estimation and the Laminar Packing Problem Peng Xiao, Xingyu Cai and Sanguthevar Rajasekaran. Efficient Algorithms for Finding Edit-distance Based Motifs 11:50 - 12:00 Closing 12:00 Lunch

5 Jahre, 2 Monate

SLSP 2019: 3rd call for papers

von IRDTA

SLSP 2019: 3rd call for papers*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ********************************************************************************** 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/ ********************************************************************************** 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 2019, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology. VENUE: SLSP 2019 will take place in Ljubljana, a charming city full of art and one of the smallest capital cities in Europe. The venue will be: Jožef Stefan Institute Jamova cesta 39 1000 Ljubljana Slovenia 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 authorship identification, plagiarism and spam filtering computer-aided translation corpora and language resources data mining and semantic web information extraction information retrieval knowledge representation and ontologies lexicons and dictionaries machine translation multimodal technologies natural language understanding neural representation of speech and language opinion mining and sentiment analysis parsing part-of-speech tagging question-answering systems semantic role labelling speaker identification and verification speech and language generation speech recognition speech synthesis speech transcription spelling correction spoken dialogue systems term extraction text categorisation text summarisation user modeling STRUCTURE: SLSP 2019 will consist of: invited talks peer-reviewed contributions posters INVITED SPEAKERS: (to be completed) Alexandros Potamianos (National Technical University of Athens), Emotion and Behavioral Tracking in the Lab and in the Wild PROGRAMME COMMITTEE: Jon Barker (University of Sheffield, UK) Roberto Basili (University of Rome Tor Vergata, IT) Pushpak Bhattacharyya (Indian Institute of Technology, Bombay, IN) Fethi Bougares (University of Le Mans, FR) Philipp Cimiano (Bielefeld University, DE) Carol Espy-Wilson (University of Maryland, US) Nikos Fakotakis (University of Patras, GR) Robert Gaizauskas (University of Sheffield, UK) Julio Gonzalo (National Distance Education University, ES) Reinhold Häb-Umbach (Paderborn University, DE) John Hershey (Google, US) Julia Hirschberg (Columbia University, US) Jing Huang (JD AI Research, US) Mei-Yuh Hwang (Mobvoi AI Lab, US) Nancy Ide (Vassar College, US) Martin Karafiát (Brno University of Technology, CZ) Vangelis Karkaletsis (National Center for Scientific Research "Demokritos", GR) Tomi Kinnunen (University of Eastern Finland, FI) Sandra Kübler (Indiana University, US) Carlos Martín-Vide (Rovira i Virgili University, ES, chair) David Milne (University of Technology Sydney, AU) Marie-Francine Moens (KU Leuven, BE) Preslav Nakov (Qatar Computing Research Institute, QA) Elmar Nöth (University of Erlangen-Nuremberg, DE) Stephen Pulman (University of Oxford, UK) Matthew Purver (Queen Mary University of London, UK) Mats Rooth (Cornell University, US) Tony Russell-Rose (UX Labs, UK) Horacio Saggion (Pompeu Fabra University, ES) Tanja Schultz (University of Bremen, DE) Efstathios Stamatatos (University of the Aegean, GR) Erik Tjong Kim Sang (Netherlands eScience Center, NL) Isabel Trancoso (Instituto Superior Técnico, PT) Josef van Genabith (German Research Center for Artificial Intelligence, DE) K. Vijay-Shanker (University of Delaware, US) Atro Voutilainen (University of Helsinki, FI) Hsin-Min Wang (Academia Sinica, TW) Hua Xu (University of Texas, Houston, US) Edmund S. Yu (Syracuse University, US) François Yvon (CNRS - Limsi, FR) Wlodek Zadrozny (University of North Carolina, Charlotte, US) ORGANIZING COMMITTEE: Tina Anžič (Ljubljana) Jan Kralj (Ljubljana) Matej Martinc (Ljubljana) Sara Morales (Brussels) Manuel Parra-Royón (Granada) Senja Pollak (Ljubljana, co-chair) Matthew Purver (London) David Silva (London, co-chair) Anita Valmarska (Ljubljana) 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). Submissions have to be uploaded to: https://easychair.org/conferences/?conf=slsp2019 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: http://slsp2019.irdta.eu/Registration.php DEADLINES (all at 23:59 CET): Paper submission: June 1, 2019 Notification of paper acceptance or rejection: July 8, 2019 Final version of the paper for the LNCS/LNAI proceedings: July 15, 2019 Early registration: July 15, 2019 Late registration: September 30, 2019 Submission to the journal special issue: January 16, 2020 QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Institut "Jožef Stefan" Institute for Research Development, Training and Advice (IRDTA), Brussels/London

5 Jahre, 2 Monate

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