Thinging Machine Applied to Information Leakage

Machine Learning techniques for applied Information Extraction

Information Visualization and Machine Learning Applied on Static Code Analysis

Software engineers will possibly never see the perfect source code in their lifetime, but they are seeing much better analysis tools for finding defects in software. The approaches used in static code analysis emerged from simple code crawling to usage of statistical and probabilistic frameworks. This work presents a new technique that incorporates machine learning and information visualization...

An active leakage-injection scheme applied to low-voltage SRAMs

An active leakage-injection scheme (ALIS) for lowvoltage (LV) high-density (HD) SRAMs is presented. By means of a feedback loop comprising a servo-amplifier and a commondrain MOSFET, a current matching the respective bit-line leakage is injected onto the line during precharge and sensing, preventing the respective capacitances from erroneous discharges. The technique is able to handle leakages ...

Machine Learning Applied to Weather Forecasting

Weather forecasting has traditionally been done by physical models of the atmosphere, which are unstable to perturbations, and thus are inaccurate for large periods of time. Since machine learning techniques are more robust to perturbations, in this paper we explore their application to weather forecasting to potentially generate more accurate weather forecasts for large periods of time. The sc...

Logic Programming Applied to Machine Ethics

This paper investigates the appropriateness of LP-based reasoning to machine ethics, an interdisciplinary field of inquiry that emerges from the need of imbuing autonomous agents with the capacity for moral decision making. The first contribution of the paper is that of identifying morality viewpoints, as studied in moral philosophy and psychology, which are amenable to computational modeling, ...