Due to their high predictive performance, predictive maintenance applications have increasingly been approached with Deep Learning techniques in recent years. However, as in other real-world application scenarios, the need for explainability is often stated but not sufficiently addressed. This study will focus on predicting failures on Metro trains in Porto, Portugal. While recent works have found high-performing deep neural network architectures that feature a parallel explainability pipeline, the generated explanations are fairly complicated and need help explaining why the failures are happening. This work proposes a simple online rule-based explainability approach with interpretable features that leads to straightforward, interpretable rules. We showcase our approach on MetroPT2 and find that three specific sensors on the Metro do Porto trains suffice to predict the failures present in the dataset with simple rules. The most straightforward approach, corrective maintenance, merely replaces machine parts whenever they break.

Natixis in Portugal is fully integrated in the global organization of Natixis, a French multinational financial services firm specialized in Asset & Wealth Management, Corporate & Investment Banking, Insurance and Payments. A subsidiary of Groupe BPCE, Natixis counts nearly 16.000 employees across 38 countries. Based in Porto, Natixis Centre of Expertise mission is to transform traditional banking by developing innovative solutions for the bank's business, operations and work culture worldwide, as a key driver of the company's culture of agility and innovation. Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms. Natixis in Portugal is the best combination of a "start-up mindset" with a large, solid structure.

We're looking for an awesome Experienced Data Scientist to join our team on our journey to revolutionize personalized medicine About your Role / What will you be doing? BSc/MSc in Biomedical Engineering, Physics, Mathematics, Telecommunication Engineering, or equivalent degree with 5 years of relevant experience (PhD in a relevant field will be considered) in data science and artificial intelligence, ideally applied to healthcare and signal processing. As personalized medicine becomes the norm, scientists, patients, and healthcare systems worldwide face massive barriers in providing the right treatment to the right patient. Recognized by CB Insights and Financial Times as one of the most promising Digital Health companies in the world, iLoF is building an AI-powered breakthrough platform capable of transforming precision medicine. Our goal is to become the platform that democratizes access to personalized medicine for millions of people living with complex diseases around the globe.

Natixis is a French multinational financial services firm specialized in asset & wealth management, corporate & investment banking, insurance and payments. A subsidiary of Groupe BPCE, the second-largest banking group in France through its two retail banking networks, Banque Populaire and Caisse d'Epargne, Natixis counts nearly 16,000 employees across 38 countries. As Natixis Innovation Hub, Natixis in Portugal mission is to transform traditional banking by developing innovative solutions for the bank's business, operations and work culture, being a key driver of the company's culture of agility and innovation. Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms. We will only accept English CVs.

Natixis in Portugal is fully integrated in the global organization of Natixis, a French multinational financial services firm specialized in Asset & Wealth Management, Corporate & Investment Banking, Insurance and Payments. As part of Groupe BPCE, Natixis counts nearly 16.000 employees across 38 countries. Based in Porto, Natixis Centre of Expertise mission is to transform traditional banking by developing innovative solutions for the bank's business, operations and work culture worldwide, as a key driver of the company's culture of agility and innovation. Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms. Counting with more than 1500 employees, Natixis in Portugal is the best combination of a "start-up mindset" with a large, solid structure.

Classifying celestial objects is a long-standing problem. With sources at near unimaginable distances, sometimes it's difficult for researchers to distinguish between objects such as stars, galaxies, quasars or supernovae. Instituto de Astrofísica e Ciências do Espaço's (IA) researchers Pedro Cunha and Andrew Humphrey tried to solve this classical problem by creating SHEEP, a machine-learning algorithm that determines the nature of astronomical sources. Andrew Humphrey (IA & University of Porto, Portugal) comments: "The problem of classifying celestial objects is very challenging, in terms of the numbers and the complexity of the universe, and artificial intelligence is a very promising tool for this type of task." The first author of the article, now published in the journal Astronomy & Astrophysics, Pedro Cunha, a Ph.D. student at IA and in the Dept. of Physics and the University of Porto, says, "This work was born as a side project from my MSc thesis. It combined the lessons learned during that time into a unique project."

Tarry Singh is Chairman & CEO of DK Ventures. He is cofounder and AI Researcher of AI startups deepkapha.ai We have already trained over 25.000 learners worldwide and expect to have trained* about 50.000 by mid 2019. Tarry has over 17 years of experience working with data and has advised CxOs of global organizations to setup data-driven organizations from scratch. He speaks regularly at global AI leadership summits worldwide and conducts workshops on a regular basis with his TAs who are currently PhDs in various disciplines such as NLP, Computer Vision, Robotics and other Artificial Intelligence disciplines.

Proposals are welcome for the International Conference on Artificial Intelligence and Information, which will be held at the Faculty of Arts, University of Porto (Portugal) on December 5, 6 and 7, 2017. The official language is English. Graduate students, junior researchers and senior scholars are welcome to submit their work. Abstract submission: We invite submission for a 30 minute presentation (followed by 10 minute discussion). An extended abstract of approximately 250-500 words should be prepared for blind review and include a cover page with full name, institution, contact information and short bio.

RuleML-2008 will be held October 30-31, 2008 in Orlando, Florida, USA. ICAART 2009 will be held January 19-21, 2009, in Porto, Portugal. This page includes all the AAAI sponsored conferences, conferences presented by AAAI Affiliates, and conferences held in cooperation with AAAI. IUI 2009 will be 11-15, 2010, in Atlanta, Georgia USA. held February 8-11, 2009, on Sanibel ICINCO 2009 will be Twenty-First International Joint be held May 19-21, 2009, at the Sundial held July 1-5, 2009, in Milan, Italy. IJCAI-09 will be held July 11-Island, FL. 17, 2009, in Pasadena, California.

The Sixth International Conference on Enterprise Information Systems (ICEIS) was held in Porto, Portugal; previous venues were in Spain, France, and the United Kingdom. Since its inception in 1999, ICEIS has grown steadily, and is now one of the largest international conferences in the area of information systems. In 2004, more than 600 papers were submitted to the conference and its ten satellite workshops. One of the interesting features of this conference is the high number of invited speakers. In 2004, eighteen keynote speakers were featured at ICEIS and its workshops.