One fundamental challenge of our time is to understand the neuroscience of brain and it’s relation to neurological disease as well as human behaviors. In this talk, I will argue that tools from control systems, dynamics, and network science can … Read More
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Shape-Based Trajectory Clustering
Automatic trajectory classification has countless applications, ranging from the natural sciences, such as zoology and meteorology, to urban planning and sports analysis, and has generated great interest and investigation. The purpose of this work is to propose and test new … Read More
Distributed inference on networks: algorithms for agent self-localization
Operation of teams of artificial helpers is one of the hallmarks of technology for the near future, both in hazardous situations and in everyday life. In harsh environments as sea exploration and exploitation, search and rescue operations, and even in … Read More
Semi-Supervised Learning of Sequence Models with the Method of Moments
In this talk I will present work presented at EMNLP 2016, about a fast and scalable method for semi-supervised learning of sequence models. The proposed method is based on anchor words and moment matching techniques to retrieve the hidden assignment … Read More
Tackling Inverse Problems in Imaging Using Targeted Priors
Image denoising is one of the core problems in image processing and some argue that current state-of-the-art general purpose methods may be reaching the maximum possible performance. This talk focuses on two main topics: 1) how can we push such … Read More
Linguistic Benchmarks of Online News Article Quality
Online news editors ask themselves the same question many times: what is missing in this news article to go online? This is not an easy question to be answered by computational linguistic methods. In this work, we address this important … Read More
Online news clustering for crosslingual media monitoring
Scalable Understanding of Multilingual MediA (SUMMA) is an European Horizon 2020 research project which targets to develop a highly scalable platform to automatically monitor public broadcast and web-based news sources, enabling news agencies and journalists to cope with world-scale amounts … Read More
Microsoft machine learning story and why it is changing the company’s future
Microsoft started to work on machine learning a few years ago. We incubated a few solutions based in our online platforms and some internal systems. Today we are making them generally available to the public and changing all our products … Read More
Challenges in Aspect-based Sentiment Analysis
This talk will present the challenges for the research area known as aspect-based sentiment analysis. Sentiment Analysis (or Opinion Mining) is a field of study in Natural Language Processing that aims to extract and classify the sentiment orientation present in … Read More
A Web Tool for Building Parallel Corpora of Spoken and Sign Languages
Sign languages are the main way of communication in the Deaf community and with the listening population. There are about 70 million deaf people and over 200 distinct sign languages in the world. Unfortunately, not all deaf know a sign … Read More