Author Archives: admin

Booking cancellations contribute negatively to the production of accurate forecasts, a critical tool in the hospitality industry. To lessen this influence, hotels implement rigid cancellation policies and overbooking strategies, which in turn can negatively impact revenue and the hotel’s social … Read More

We want to guess the position of a target, based only on how weakly or strongly its emitted wireless signal is received at a few places. Assuming usual probabilistic properties of wireless channels, we proceed to frame this problem as … Read More

Genetic testing has long been a major promise to foster personalized healthcare and personalized wellness. The major barrier to its success and massification is the gap between getting the genetic data and providing actionable advice, alongside the high cost of … Read More

Wikipedia is the biggest encyclopedia ever created and the fifth most visited website in the world. Tens of millions of people surf it every day, seeking answers to various questions. Collective user activity on its pages leaves publicly available footprints … Read More

We will present an ongoing project at Priberam that covers aspects that go from the definition of ontologies, corpus gathering and annotation criteria to the concrete annotation task, and finally the development of an engine that automatically extracts, labels and … Read More

The seminar will be a brief overview of deep learning techniques for semantic segmentation of images. Then, it will show a use case of deep learning usage for semantic segmentation of ischemic stroke lesions using 3D MRI data.

In this talk I will introduce a combination of moment based predictive models with deep reinforcement learning architectures, Recurrent Predictive State Policy (RPSP) networks. Predictive state serves as an equivalent representation of a belief state. Therefore, the policy component of … Read More

Since the first perceptron was implemented in an IBM 7042 to the success of Deep Blue against a human opponent and, more recently, IBM Watson’s victory on Jeopardy!, IBM has been intimately involved with the advancement of cognitive systems. With … Read More

Word embeddings, such as Word2Vec or Glove, are vector representations that capture lexical-semantic properties of words. They constitute a practical way for transferring knowledge between two machine learning models, and they contribute to greatly reducing the learning time required for … Read More

Modern datasets are increasingly collected by teams of agents that are spatially distributed: sensor networks, networks of cameras, and teams of robots. To extract information in a scalable manner from those distributed datasets, we need distributed learning. In the vision … Read More