Author: jovifran (Page 4 of 14)

IDAL organizing a special session at CIBIBB2018

IDAL member José D. Martín to organize the special session entitled “Machine explanation – interpretation of machine learning models for medicine and bioinformatics”, at the 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB 2018). The conference will be held next 6th-8th September, at Caparica (Portugal) The aim of the session is to report original research and case studies where models are explained and verified using clinical or bioinformatics knowledge. This may involve machine learning methods that are interpretable by design, links made between databased methods and knowledge-based systems, or integration of structure finding algorithms into medical decision making for instance in the form of Bayesian Belief Networks.

Scientific Reports announces an IDAL paper among the most popular ones of 2017

The paper entitled “Supervised Quantum Learning without Measurements”, and co-authored by IDAL member José D. Martín and former IDAL member Pablo Escandell has been rated as one of the most popular ones of 2017. In particular, according to Nature Publishing Group the paper is the 26th paper with most views in 2017 (out of more than 3,000 papers published about Physics): https://www.nature.com/collections/lbnlhhghdx/content/26-50
This is especially remarkable as the paper was published in late September, thus being only available in the last two months of the year. This encourages us to carry on and make even more efforts in producing high-quality science that may have a real impact on the research community.

IDAL at QML-BQT 2018

IDAL was represented at the Workshop on Quantum Machine Learning and Biomimetic Quantum Technologies (http://www.qutisgroup.com/qml_bqt/), held in Bilbao from 19th to 23rd March 2018. José D. Martín-Guerrero, who took part in the organizing and scientific committees of the workshop, gave a keynote talk entitled “Enhancing ML through the synergy of classical and quantum approaches” and participated in the round table “Quantum meets Industry”. Raúl Casaña-Eslava gave a talk about his work on Probabilistic Quantum Clustering. The workshop has attracted more than 100 attendants, being among them the most representative researchers of the world in the field of Quantum Machine Learning. The scientific activity has been hectic during all the week with the presentation of many outstanding works.

Best poster award at INIT/AERFAI summer school on Machine Learning

Raúl Casaña-Eslava, a former IDAL researcher who is currently carrying out his PhD at Liverpool John Moores University (LJMU), received the best paper award at the summer school on Machine Learning organized by the Institute of New Imaging Technologies (INIT) of the University Jaume I (Castellón, Spain) and co-sponsored by the Spanish Association of Pattern Recognition and Image Analysis (AERFAI). Raúl presented his recent work on Probabilistic Quantum Clustering, one of the cornerstones of his PhD. The awarded poster was co-authored by two other members of the Department of Applied Mathematics at LJMU and by the IDAL member José D. Martín-Guerrero.

Prof. Emilio to talk about the benefit of data analysis in business

Prof. Emilio Soria will give a lesson on increasing the profit of a company by means of Data Analysis within the programme “Open Lessons on Business Innovation”. This programme is organised by the University–Business Foundation of the University of Valencia (ADEIT).

Prof. Soria’s talk will review the concepts of big data, smart data, Internet of things, Industry 4.0 and Deep Learning, and how to use this concepts in the context of running a business. The talk will take place next Wednesday, 21st of June at 9 a.m. at the ADEIT headquarters (Pz. Virgen de la Paz, 3, Valencia).

Prof. José D. Martín to visit two collaborators in the field of Quantum Machine Learning

Next month, José D. Martín will be visiting two research centers within his work on Quantum Machine Learning. From May 15h to 22nd he will be at Liverpool John Moores University to work on Probabilistic Quantum Clustering; his collaboration with this university has already produced a number of publications related to Quantum Clustering, that has now been enhanced by means of a probabilistic interpretation. The third week of June, he will be working with the research group QUTIS (Quantum Technologies for Information Science), from the University of the Basque Country, researching on new avenues that may link Quantum Technologies and Machine Learning after a first successful collaboration on Quantum Gridworlds and Quantum Machine Learning without measurements.

Professor Paulo J. G. Lisboa visits IDAL

Professor Paulo. J. G. Lisboa from Liverpool John Moores University visited IDAL on 2nd May to give a seminar entitled “Data insights from machine learning with applications to biomedical data”. Prof. Lisboa is one of the most worldwide-recognized personalities in biomedical applications of machine learning and data analysis, currently chairing the Horizon2020 Advisory Group for Societal Challenge 1 (Health, Demographic Change and Wellbeing) and the IEEE Task Force on Medical Data Analysis.

IDAL organizing a special sesion at ESANN 2017

Prof. José D. Martín and Prof. Emilio Soria recently participated in the organization of a special session at ESANN 2017, held in Bruges (Belgium) from 26th to 28th April. The session was entitled “Randomized Machine Learning approaches: analysis and developments” (https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#randomand was organized in collaboration with Drs. Claudio Gallicchio and Alessio MIcheli, from the University of Pisa.

Prof. Emilio Soria to participate on a debate about Transparency and Open Governance

Prof. Emilio Soria has been invited by Fòrum Universitari Joan Lluís Vives to participate as a speaker during a forum on Transparency and Open Governance sponsored by the Youth Council of the Local Government of Valencia.

The XXV Fòrum Lluís Vives will take place on May 8th on the Municipal Youth Office (Campoamor 91, Valencia) starting at 5 pm. The forum will start with the broadcast of Javier Gallego’s radio programme Carne Cruda, followed by a discussion panel about Transparency and Open Governance. The forum will finalise with an open debate about open administration and transparency with the participation of Valencia City Major, Joan Ribó, and the representative of the Regional Office of Transparency, Manuel Alcaraz.

More information: https://www.eventbrite.es/e/entradas-radio-carne-cruda-mesas-abiertas-transparencia-foro-humanistics-33972124539

Interview with Prof. Emilio Soria about Open Data on Fòrum Lluís Vives: http://www.forolluisvives.es/noticias/emilio-soria-transparencia-nikola-tesla-mazinger-z/

IDAL introduces the first ‘intangible falla’ in history

Due to the recent statement of Fallas festivity as UNESCO’s Intangible Cultural Heritage of Humanity, the UV School of Engineering has developed with the support of the IDAL the ‘intangible falla’. This is the first intangible falla ever. The falla was introduced during an open event, that took place on Monday, 6 February.
The event counted on the interventions of Antonio Ariño, Vice-Principal for Culture and Equality; Pere Fuset, Councillor for Culture and Festivals of Valencia; Maria Oliver, Councillor for Youth, Cultural Activity, Education, Home and Heritage; Raquel Alario, Fallera Mayor of Valencia; Francisco Grimaldo, Assistant Director of the UV School of Engineering, and Emilio Soria, Director of UV Master’s Degree in Data Science.
The intangible falla is an artificial intelligence project that suggests public involvement to build it daily until 19 March. The initiative will become a reality in the form of several monuments and actions, as explained during the presentation ceremony.
The intangible falla will be built earlier, although this usually occurs in early March. The assembly of the first intagible falla begun 6 February during the open presentation ceremony.

Link: fallaimmaterial.com

For further info on the Fallas: https://en.wikipedia.org/wiki/Falles

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