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, evolutionary trees, and structure prediction.
AlCoB 2020 Missoula, Montana, USA - April 13-15, 2020
AlCoB 2019 Berkeley, USA - May 28-30, 2019
AlCoB 2018 Hong Kong, June 25-26, 2018
AlCoB 2017 Aveiro, Portugal, June 5-6, 2017
AlCoB 2016 Trujillo, Spain, June 21-22, 2016
AlCoB 2015 Mexico City, Mexico, August 4–5, 2015
AlCoB 2014 Tarragona, Spain, July 1-3, 2014
BigDat is 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 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, 20 five hour and fifteen minute-courses, and 1 round table, 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.
BigDat 2020 Ancona, Italy, January 13-17, 2020
BigDat 2019 Cambridge, United Kingdom, January 7-11, 2019
BigDat 2018 Timişoara, Romania, January 22-26, 2018
BigDat 2017 Bari, Italy, February 13-17, 2017
BigDat 2016 Bilbao, Spain, February 8-12, 2016
BigDat 2015 Tarragona, Spain, January 26-30, 2015
DeepLearn is 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
DeepLearn 2020 Leon, Guanajuato, Mexico - July 27-31, 2020
DeepLearn 2019 Warsaw, Poland - July 22-26, 2019
DeepLearn 2018 Genova, Italy, 23th — 27th July 2018
DeepLearn 2017 Bilbao, Spain, July 17-21, 2017
LATA is a conference series on theoretical computer science and its applications. Following the tradition of the diverse PhD training events in the field organized by Rovira i Virgili University since 2002, LATA 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
LATA 2020 Milan, Italy - March 2-6, 2020
LATA 2019 Saint Petersburg, Russia - March 25-29, 2019
LATA 2018 Bar-Ilan near Tel Aviv, Israel, April 9-11, 2018
LATA 2017 Umeå, Sweden, March 6-9, 2017
LATA 2016 Prague, Czech Republic, March 14-18, 2016
LATA 2015 Nice, France, March 2-6, 2015
LATA 2014 Madrid, Spain, March 10-14, 2014
LATA 2013 Bilbao, Spain, April 2-5, 2013
LATA 2012 A Coruña, Spain, March 5-9, 2012
LATA 2011 Tarragona, Spain, May 26-31, 2011
LATA 2010 Trier, Germany, May 24-28, 2010
LATA 2009 Tarragona, Spain, April 2-8, 2009
LATA 2008 Tarragona, Spain, March 13-19, 2008
LATA 2007 Tarragona, Spain, March 29 - April 4, 2007
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, well-known conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between subdomains and people will hopefully happen. In SLSP 2018, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology.
SLSP 2019 Ljubljana, Slovenia, October 14-16, 2019
SLSP 2018 Mons, Belgium, October 15-17, 2018
SLSP 2017 Le Mans, France, October 23-25, 2017
SLSP 2016 Pilsen, Czech Republic, October 11-12, 2016
SLSP 2015 Budapest, Hungary, November 24-26, 2015
SLSP 2014 Grenoble, France, October 14-16, 2014
SLSP 2013 Tarragona, Spain, July 29-31, 2013
TPNC is a conference series intending to cover the wide spectrum of computational principles, models and techniques inspired by information processing in nature. TPNC 2017 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.
TPNC 2019 Kingston, Canada, December 9-11, 2019
TPNC 2018 Dublin, Ireland, December 12-14, 2018
TPNC 2017 Prague, Czech Republic, December 18-20, 2017
TPNC 2016 Sendai, Japan, December 12-13, 2016
TPNC 2015 Mieres, Spain, December 15-16, 2015
TPNC 2014 Granada, Spain, December 9-11, 2014
TPNC 2013 Cáceres, Spain, December 3-5, 2013
TPNC 2012 Tarragona, Spain October 2-4, 2012