Molecular identification of cystic echinococcosis in humans and pigs reveals the presence of both Echinococcus granulosus sensu stricto and Echinococcus canadensis G6/G7 in the hyperendemic focus of the Republic of Moldova.

Cystic echinococcosis is caused by the parasitic species of the complex Echinococcus granulosus sensu lato. This disease is hyperendemic in the Republic of Moldova. Recent molecular analyses have revealed the exclusive presence of E.

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge.

Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing. In this paper, we present a generative model based on a deep recurrent architecture that combines recent advances in computer vision and machine translation and that can be used to generate natural sentences describing an image. The model is trained to maximize the likelihood of the target description sentence given the training image.

Challenges in representation learning: a report on three machine learning contests.

The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions.

Collaborative filtering on a family of biological targets.

Building a QSAR model of a new biological target for which few screening data are available is a statistical challenge. However, the new target may be part of a bigger family, for which we have more screening data. Collaborative filtering or, more generally, multi-task learning, is a machine learning approach that improves the generalization performance of an algorithm by using information from related tasks as an inductive bias.