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Konstantopoulos, Stasinos

Last name
Konstantopoulos
First name
Stasinos
Country
-
  • A Data-Parallel Version of Aleph

    This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or distributed machine. The paper briefly discusses MPI, the interface used to access message- passing libraries for parallel computers and clusters. It then proceeds to describe an extension of YAP Prolog with an MPI interface and an implementation of data-parallel clause evaluation for Aleph through this interface. The...

    What's in a Name?

    This paper describes experiments on identifying the language of a single name in isolation or in a document written in a different language. A new corpus has been compiled and made available, matching names against languages. This corpus is used in a series of experiments measuring the performance of general language models and names-only language models on the language identification task. Conclusions are drawn from the comparison between using general language models and names-only language...

    Learning Phonotactics Using ILP

    This paper describes experiments on learning Dutch phonotactic rules using Inductive Logic Programming, a machine learning discipline based on inductive logical operators. Two different ways of approaching the problem are experimented with, and compared against each other as well as with related work on the task. The results show a direct correspondence between the quality and informedness of the background knowledge and the constructed theory, demonstrating the ability of ILP to take good ad...

    Crowd-sourcing tools within the PREPARE analytical platform

    A brief overview of the crowd-sourcing tools developed within the analytical platform of the PREPARE project is presented. Crowd sourcing relates to methods that: offer a Web Content Discovery Service that automatically acquires and analyses content from social networks and the Web to extract information during nuclear or radiological (NR) events as well as the public opinion and perspective regarding an event occurrence and development; support an Ask the Expert Service for the public to hav...

    Daily activity recognition based on meta-classification of low-level audio events

    This paper presents a method for recognizing activities taking place in a home environment. Audio is recorded and analysed realtime, with all computation taking place on a low-cost Raspberry PI. In this way, data acquisition, low-level signal feature calculation, and low-level event extraction is performed without transferring any raw data out of the device. This first-level analysis produces a time-series of low-level audio events and their characteristics: the event type (e.g., "music") and...

    Unravelling Names of Fictional Characters

    In this paper we explore the correlation between the sound of words and their meaning, by testing if the polarity (‘good guy’ or ‘bad guy’) of a character’s role in a work of fiction can be predicted by the name of the character in the absence of any other context. Our approach is based on phonological and other features pro- posed in prior theoretical studies of fictional names. These features are used to construct a predictive model over a manually annotated corpus of characters from motion...

    Human-robot complementarity: Learning each other and collaborating

    As robot capabilities increase, the complexity of controlling and manipulating them becomes complex and cumbersome making intuitive Human-Robot Interaction all the more necessary for seamless human-robot collaboration. In this paper, we look into the ability of collaborators to understand each other’s intentions and act accordingly in order to promote the collaboration. We focus on scenarios that human intentions are communicated through movement. In order to endow robots with understanding o...

    Design for a System of Multimodal Interconnected ADL Recognition Services

    As smart interconnected sensing devices are becoming increasingly ubiquitous, more applications are becoming possible by re-arranging and re-connecting sensing and sensor signal analysis in different pipelines. Naturally, this is best facilitated by extremely thin services that expose minimal functionality and are extremely flexible regarding the ways in which they can be re-arranged. On the other hand, this ability to re-use might be purely theoretical since there are established patterns in...

    An extension of SPARQL for expressing qualitative preferences

    In this paper we present SPREFQL, an extension of the SPARQL language that allows appending a PREFER clause that expresses "soft" preferences over the query results obtained by the main body of the query. The extension does not add expressivity and any SPREFQL query can be transformed to an equivalent standard SPARQL query. However, clearly separating preferences from the "hard" patterns and filters in the WHERE clause gives queries where the intention of the client is more cleanly expressed,...

    A Low-cost Approach for Detecting Activities of Daily Living using Audio Information: A Use Case on Bathroom Activity Monitoring

    In this paper, we present an architecture for recognizing events related to activities of daily living in the context of a health monitoring environment. The proposed approach explores the integration of a Raspberry PI single-board PC both as an audio acquisition and analysis unit. A set of real-time feature extraction and classification procedures has been implemented and integrated on the Raspberry PI device, in order to provide continuous and online audio event recognition. In addition, a ...
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