After three years of on-line and hybrid conferences, the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) came back to an almost 100% in-person conference, held in Bruges (Belgium) with a great success of attendants and top-quality scientific contributions. IDAL member Prof. José D. Martín-Guerrero participated in the conference with the organization of the special session on Quantum Artificial Intelligence and with the presentation of a tutorial on this topic, on top of being part of the scientific committee, as usual. The special session was organized in collaboration with Prof. Lucas Lamata (Universidad de Sevilla, Spain), and Thomas Villmann (Mittweida University of Applied Sciences, Saxon Institute for Computational Intelligence and Machine Learning, Germany).
Category: Congress (Page 1 of 4)
IDAL was present at the prestigious European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020). The conference was supposed to be held in April as usual, but due to COVID-19 situation, the conference was postponed to 2nd-4th October, and eventually held online. IDAL made two contributions. José D. Martín-Guerrero organized a special session on Quantum Machine Learning with Prof. Lucas Lamata (University of Seville) and presented a tutoral on that topic. Óscar J. Pellicer-Valero presented one of the results of his PhD, in particular, a novel idea to enhance the resolution of Convolutional Neural Networks with applications to medical image segmentation.
IDAL member Prof. José D. Martín and Prof. Lucas Lamata – University of Seville – will be organizing a special session on Quantum Machine Learning at the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, that will be held in Bruges, Belgium from 22nd to 24th April 2020. The deadline for paper submission is November 18th. We are looking forward to receiving your contributions! More info at https://www.esann.org/special-sessions#session6
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 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.
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#random) and was organized in collaboration with Drs. Claudio Gallicchio and Alessio MIcheli, from the University of Pisa.
IDAL members José D. Martín and Emilio Soria are involved in the organization of a special session at the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) that will take place, as traditionally, in Bruges (Belgium) from 26th to 28th April 2017. The topic of the special session is “Randomized Machine Learning approaches: analysis and developments”. More info can be found at https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#random The deadline for paper submission is November 19th. We are looking forward to receiving interesting contributions!
IDAL members José D. Martín, Marcelino Martínez and Fernado Mateo attended the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016), that according to more than two decades of tradition was held in Bruges (Belgium), from 27th to 30th April. IDAL presented three works in the conference: “Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data”, “Performance assessment of quantum clustering in non-spherical data distributions”, and “Physics and Machine Learning: Emrging Paradigms”, which actually was the tutorial of a special session with the same name, that was organized by José D. Martín, Alfredo Vellido (Technical University of Catalonia) and Paulo J. G. Lisboa (Liverpool John Moores University). The conference was a success with many works dealing with cutting-edge methods and the hottest current technologies in the field.
As it is traditional, the last week of April, the charming city of Bruges (Belgium) will see another edition of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). IDAL will participate with three papers and a special session on “Physics and Maching Learning: emerging paradigms”, co-organized by IDAL member José D. Martín. More info at https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#Physics
IDAL member José D. Martín has proposed a special session in the World Congress in Computational Intelligence (WCCI 2016), that will be held in Vancouver (Canada) next July. The special session is entitled “Computational Intelligence in Personal Health”, and has been proposed in collaboration with Professor Paulo Lisboa (Liverpool John Moores University) and Dr. Alfredo Vellido (Technical University of Catalonia); this activity is within th framework of the Task Force on Medical Data Analysis of the IEEE Computational Intelligence Society Data Mining Technical Committee. More info at http://www.wcci2016.org/spsessions.php