We provide an open access multimodal brain-imaging dataset of simultaneous electroencephalography (EEG) and near-infrared spectroscopy (NIRS) recordings. Twenty-six healthy participants performed three cognitive tasks: 1) n-back (0-, 2- and 3-back), 2) discrimination/selection response task (DSR) and 3) word generation (WG) tasks. The data provided includes: 1) measured data, 2) demographic dat...

Data mining services on grids is the need of today’s era. Workflow environments are widely used in data mining systems to manage data and execution flows associated to complex applications. Weka, one of the most used opensource data mining systems, includes the Knowledge-Flow environment which provides a drag-and-drop inter-face to compose and execute data mining workflows. It allows users to e...

Progress in language and image understanding by machines has sparkled the interest of the research community in more open-ended, holistic tasks, and refueled an old AI dream of building intelligent machines. We discuss a few prominent challenges that characterize such holistic tasks and argue for “question answering about images” as a particular appealing instance of such a holistic task. In pa...

We present Dolphin, an extensible programming language for autonomous vehicle networks. A Dolphin program expresses an orchestrated execution of tasks defined compositionally for multiple vehicles. Building upon the base case of elementary one-vehicle tasks, the built-in operators include support for composing tasks in several forms, for instance according to concurrent, sequential, or event-ba...

Classifying behavior patterns in mouse models of neurological, psychiatric and neurodevelopmental disorders is critical for understanding disease causality and treatment. However, complete characterization of behavior is time-intensive, prone to subjective scoring, and often requires specialized equipment. Although several reports describe automated home-cage monitoring and individual task scor...

This work presents a requirement analysis and a design proposal for a general architecture for a specified, yet open set of human language technology (HLT) tasks — the set chosen is dubbed information refinement. Apart from using information refinement as a means to focus the requirement analysis and accompanying design proposal, the analysis and proposal are based on a survey of a number of pr...

Scanned maps need to be georeferenced, to be useful in a GIS environment for data extraction (vectorization), web publishing or spatially-aware archiving. Widely used software solutions with georeferencing functionality are designed to suit a universal scenario for georeferencing many different kinds of data sources. Such general nature also makes them very time-consuming for georeferencing a l...

The technological developments in distributed systems have led to new telerobotic applications, such as virtual laboratories and remote maintenance of complex equipment, built on top of Internet and distributed computing system infrastructures. These applications must satisfy both the general requirements of distributed computing, e.g. location transparency and interoperability, and the domain-...

Graph Convolutional Networks (GCNs) and subsequent variants have been proposed to solve tasks on graphs, especially node classification tasks. In the literature, however, most tricks or techniques are either briefly mentioned as implementation details only visible in source code. this paper, we first summarize some existing effective used GCNs mini-batch training. Based this, two novel named GC...

Many downstream NLP tasks can benefit from Open Information Extraction (Open IE) as a semantic representation. While Open IE systems are available for English, many other languages lack such tools. In this paper, we present a straightforward approach for adapting PropS, a rule-based predicate-argument analysis for English, to a new language, German. With this approach, we quickly obtain an Open...