Data processing methodologies in the area of E-Health for categorizing therapeutic responses in patients with migraine
, – Abstract: Migraine is a chronic disease that affects the daily development of activities of people around the world. To alleviate the symptoms, OnabotulinumtoxinA (BoNT-A) has solid proven evidence for their use according to various works and clinical trials. Nowadays, it is known that…
Reactive Boolean Networks
Daniel Figueiredo, Universidade de Aveiro – Abstract: In the context of biological regulatory networks, the connection between Piecewise-linear (PWL) models and Boolean networks is well-known, since Boolean networks can be seen as simplifications of PWL models. However, due to the abstraction of BN models, some…
Biomechanical Analyses of Human Movement Aimed at Improving Rehabilitation Outcomes
Richard Neptune, University of Texas at Austin – Abstract: The human neuromusculoskeletal system is exceedingly complex due to highly nonlinear multi-body dynamics and musculotendon actuators, and redundant muscle control that isn’t well understood. As a result, gaining insight into normal and pathological movement remains a…
Comprehending Energy Behaviors of Java I/O APIs
Gustavo Pinto, Federal University of Pará, Brazil. – Abstract: APIs that implement I/O operations are the building blocks of many well-known, non-trivial software systems. These APIs are used for a great variety of programming tasks, from simple file management operations, to database communications and implementation…
Seminar – Personhood Online: Identification-Free Identities and Digital Citizenship via Proof-of-Presence
Bryan Ford, EPFL – École Polytechnique Fédérale de Lausanne – Abstract: Numerous fundamental weaknesses of our online ecosystem derive from its inability to distinguish securely between real people and fake identities. Social botnets, fake news, anonymous trolling, astroturfing, deep fakes, sock puppetry, online poll and…
‘Gielis Transformations in design and engineering’
Johan Gielis, University of Antwerp, Bio-Engineering Sciences – Abstract: Gielis Transformations in design and engineering Gielis’ Transformations (a.k.a. Superformula) are a generalization of the Pythagorean Theorem. It not only defines the circle, as Pythagoras does, but circles, polygons, starfish, shells, flowers, or superquadrics….; an infinite…
“Photovoltaic Optiverter – A Novel Hybrid MLPE Technology for Residential and Small Commercial Photovoltaic Applications“ by Dmitri Vinnikov
Dmitri Vinnikov, – Abstract: Abstract: In this presentation a novel approach to photovoltaic (PV) module level power electronics called OPTIVERTER (PVOPT) will be introduced and discussed. Functionally, it is a hybrid of PV power optimizer and PV microinverter with such key features as shade-tolerant (or…
Algorithm/Architecture Co-design for Smart Signals and Systems in Cognitive Cloud/Edge
Gwo Giun Chris Lee, National Cheng Kung University (NCKU) – Abstract: Niklaus Emil Wirth introduced the innovative idea that Programming = Algorithm + Data Structure. Inspired by this, we advance the concept to the next level by stating that Design = Algorithm + Architecture. With…
Conflict-free Replicated Data Types: An Overview
Nuno Manuel Ribeiro Preguiça, Universidade Nova de Lisboa – Abstract: Internet-scale distributed systems often replicate data at multiple geographic locations to provide low latency and high availability, despite node and network failures. Geo-replicated systems that adopt a weak consistency model allow replicas to temporarily diverge,…
BADA – Big Automotive Data Analytics
Ahmad Al-Shishtawy, RISE Research Institutes of Sweden – Abstract: The BADA project fuses big data analytics with the automotive industry in Sweden. It is a collaboration between RISE SICS, Volvo cars, Volvo trucks, Scania, and the Swedish Transport Agency. The goal of the project is…
11th Lisbon Machine Learning Summer School
LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel and Cleverly.
Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020) and to watch the videos of the lectures (2016, 2017, 2018, 2020).
Call for Participation
* Application Deadline: May 15, 2021
* Decision: June 1, 2021
* Early Registration: June 15 – July 1, 2021
* Summer School: July 7 – 15, 2021
Topics and Intended Audience
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
- Researchers and graduate students in the fields of NLP and Computational Linguistics;
- Computer scientists who have interests in statistics and machine learning;
- Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
- No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming
- Lecturers are leading researchers in machine learning and natural language processing (see speakers)
- Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)
- The Labs guide will be provided one month in advance. Last year’s guide can be found here
- A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
- Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered
Due to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.
List of Confirmed Speakers
LUIS PEDRO COELHO Fudan University | China
MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | Portugal
ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
IRYNA GULEYVICH Technical University Darmstat | Germany
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SLAV PETROV Google Inc. | USA
XAVIER CARRERAS dMetrics | USA
GRAHAM NEUBIG Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
CHRIS DYER Google Deep Mind | UK
ELIAS BARENBOIM Columbia University | USA
ADELE RIBEIRO Columbia University | USA
STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | Germany
BARBARA PLANK IT University of Copenhagen | Denmark
SASHA RUSH Cornell Tech | USA
Please visit the webpage for up to date information: http://lxmls.it.pt/2021
To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
Any questions should be directed to: email@example.com.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.