Convolutional Neural Network-based Automatic Prediction of Judgments of the European Court of Human Rights

Abstract Hahn and Wallsten [7] wrote that network neutrality “usually means that broadband service pro- viders charge consumers only once for Internet access, do not

We provide raw text, the meta- data (e.g., date, court-assigned importance, parties, and section) as well as the preprocessed text of communi- cated cases (split into facts

FACT (Factuality Analysis and Classification Task) is a task to classify events in Span- ish texts (from Spanish and Uruguayan newspaper), according to their factuality status..

To capture these features, we collected our own dataset based on Spanish Tweets that is 16 times larger than the competition data set and allowed us to pre-train a language model.

In this paper, we evaluate the efficiency of using CNNs for source camera model identification based on deep learning and convolutional neural networks.. The contribution repre- sents

Chaumont, ”Camera Model Identification Based Machine Learning Approach With High Order Statistics Features”, in EUSIPCO’2016, 24th European Signal Processing Conference 2016,

We nd on a portfolio selection problem that better results can be obtained when the model is directly trained in order to optimize the nancial criterion of interest, with a

Using Bishop’s approximation (Bishop, 1995) of the objective function when a restricted type of noise is added to the input of a parametric function, we derive the higher order terms