IDAL member Prof. José D. Martín alongside Prof. Paulo J. G. Lisboa from Liverpool John Moores University and Dr. Alfredo Vellido from Universitat Politècnica de Catalunya are organizing a special session for the International Joint Conference on Neural Networks, to be held virtually from 18th to 22nd July 2021. The title of the special session is “Transparent and Explainable Artificial Intelligence (XAI) for Health”. The deadline for paper submission is 15th January. More info at https://www.cs.upc.edu/~avellido/research/conferences/IJCNN2021-ssTranspXAI4Health.html
Category: Workshop (Page 1 of 3)
IDAL has presented a virtual conference on Data Science and its impact on Small and Medium Enterprise (SME). The talk was fostered by enterprise association FECAP. The slides and material used in the conference can be downloaded in the following links:
Guide and links to demo web pages: guion in Word; guion PDF
Slides: charla_Segorbe PDF; charla_Segorbe Powerpoint
Videos played in conference: https://www.youtube.com/playlist?list=PLvauZhcD8Z2Sz8iKb1q1S7GJEprmsSq6Y
The conference can be reviewed in FECAP YouTube Channel: https://www.youtube.com/user/fecapsegorbe
IDAL member Dr. Emilio Soria-Olivas will participate next 13th of November on a Symposium on Moral Neuroeducation in AI times organised by the Philosophy Department of the University of Valencia. Dr. Emilio Soria-Olivas will discuss about “Data and Artificial Intelligence: 2.0 Society”.
Dr. Emilio Soria-Olivas will present the AI challenges on Health management in a workshop hosted by ESSALUD (Empresas y sanitarios innovando por la salud) next 29th October at the Lluis Alcanyís Hospital in Xàtiva.
The workshop is focused on applications of Big Data and Artificial Intelligence on regional Hospitals, and it is aimed at health professionals and innovative companies.
Dr. Ian H. Jarman, lecturer at the Department of Applied Mathematics of the Liverpool John Moores University is giving a seminar on the use of data science, machine learning and visualization tools as well as its application to clinical data, with particular emphasis on Public Health. Dr. Jarman has a vast experience in the field, both from an academic point of view and also from a more clinical approach, as he was in charge of the Center for Public Health of Liverpool (Merseyside, North-West), belonging to the National Health Service network, United Kingdom. The seminar is taking place the dates 14th, 15th and 16th April, from 9am to 2pm.
The past 26th of June, IDAL organized a successful conference on the current situation of the Artificial Intelligence, sponsored by Balearia. The session had 4 panels of discussion and a conference, which was the starting point of the Chair Universidad-Empresa of the company Balearia, in line with research in the field of artificial intelligence. Some of the companies involved were Bolsas y Mercados Españoles (BME), Capgemeni, CEPSA, Telefónica and Orange.
https://www.uv.es/uvweb/engineering/en/news/large-number-attendees-conference-artificial-intelligence-organised-idal-etse-uv-sponsored-balearia-1285923366775/Novetat.html?id=1286084945592
IDAL member Dr. Emilio Soria participated recently in a workshop on Analysis and Detection of financial crime by means of Statisticals and Machine Learning methods, organised by the DEBLANC Chair for the implementation of statistical, economic and automatic learning methodologies in order to detect financial crimes and money laundering of the University of Valencia. The workshop took place at the Faculty of Economics on 20th of June.
On May 15, the research group IDAL and the BDSLAb from the Polytechnic University of Valencia (UPV) presented the results of a collaboration project on the optimisation of the response to 112 Emergency calls. The presentation shown that natural language processing can improve the functioning of the system in terms of cost, quality of life of the patient and optimisation of resources. On the other hand, the advantages of using probabilistic graphical models in this type of problems were highlighted, as they are easy to adjust and retrain; they are self-explanatory (as opposed to other black-box approaches) and establish causal relationships between variables that can be modified by the expert.
The slides of the presentations can be downloaded from here:
IA aplicada a la demanda sanitaria
Clasificación de la demanda sanitaria mediante NLP
Información relevante para la clasificación de la demanda sanitaria
Summary of the presented model:
IDAL member José D. Martín is involved in the local organizing commitee and the program committee of the renowned WSOM+: 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization. WSOM+ will be held in Barcelona (Spain) from 26th to 28th June 2019. The Call for Papers will open soon, being the deadline on January 20th. More info at https://wsom2019.cs.upc.edu/
IDAL member José D. Martín is involved in the organization of the special session “Societal Issues in Machine Learning: When Learning from Data is Not Enough” at the renowned European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN’09) that will take place in Bruges, Belgium from 24 to 26 April 2019. The special session is co-organized with Dr. Davide Bacciu (University of Pisa,Italy), Dr. Battista Biggio (University of Cagliari, Italy), Prof. Paulo J. G. Lisboa, (Liverpool John Moores University, UK), Luca Oneto (University of Genoa, Italy) and Alfredo Vellido (Universitat Politècnica de Catalunya, Spain). We look forward to your contributions (deadline: 19 November 2018)! More info at https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#societal
