In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].
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Question: Justificación: Es un trabajo que no tiene mucha novedad, es un tema que se ha estudiado bastante, sobre todo los modelos gráficos. Estos conceptos están incorporados en las herramientas CASE, aun cuando en el documento no se presenta en profundidad. Tal vez un mayor aporte hubiese sido investigar los métodos formales y ampliar el análisis comparativo de métodos.

Answer: es


Question: The authors propose a RNN-method for time-series classification with missing values, that can make use of potential information in missing values. It is based on a simple linear imputation of missing values with learnable parameters. Furthermore, time-intervals between missing values are computed and used to scale the RNN computation downstream. The authors demonstrate that their method outperforms reasonable baselines on (small to mid-sized) real world datasets. The paper is clearly written. IMO the authors propose a reasonable approach for dealing with missing values for their intended application domain, where data is not abundant and requires smallish models. I’m somewhat sceptical if the benefits would carry over to big datasets, where more general, less handcrafted multi-layer RNNs are an option.

Answer: en


Question: This work gives expected results and creates a structure for further research. I would suggest in addition of compass the use of radio waves for improving localization (WiFi for indoor and GPS for outdoor). In addition, there are some low cost platforms in the market that can be used and study, as for example Ardupilot or other similar systems. I was unable to see clearly enough, in the paper, the use of the camera; algorithms, environment settings, etc.; used for following robot. In Figure 7, it seems that camera trajectory is worse than that calculated with odometry, perhaps due to orientation error, but in my opinion it is not very clear during reading. Finally, I would suggest think if is it there some possible feedback of EKF results to odometry in order to reduce its error.

Answer:
en