1,721,042 research outputs found
An Upper Bound on the Complexity of Tablut
No full textTablut is a complete-knowledge, deterministic, and asymmetric board game,
which has not been solved nor properly studied yet. In this work, its rules and
characteristics are presented, then a study on its complexity is reported. An
upper bound to its complexity is found eventually by dividing the state-space
of the game into subspaces according to specific conditions. This upper bound
is comparable to the one found for Draughts, therefore, it would seem that the
open challenge of solving this game requires a considerable computational
effort
Disruptive situation detection on public transport through speech emotion recognition
Full text linkDisruptive situations are emotionally-charged events diverging from ordinary behavior, like people fighting or screaming. Public transports are one type of social environment where disruptive situation may occur, and their timely detection may bring significant improvements to people's safety. Current approaches to disruptive situation detection, typically based on CCTVs, do not take the emotional dimension into account. Conversely, we propose to frame such a problem as a speech emotion recognition task.To validate our hypotheses, we carry out an extensive experimental study focusing on the development of a model characterized by speaker/gender independence, robustness to noise, and robustness against multiple voices. We investigate a variety of audio features, classifiers, datasets, and data augmentation methods in an effort to define effective ways to address this under-investigated yet socially significant problem. Our experiments show that the proposed systems attain an F1 score of over 90% on the disruptive class, even when introducing noisy elements such as environmental noise or multiple overlapping voices. This robust performance is achieved with datasets characterized by speaker variability, gender diversity, and varying number of samples. Such promising results indicate that framing disruptive situation detection as a speech emotion recognition task could pave the way to the adoption of new types of intelligent systems with a positive impact on public safety
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Can Deep Networks Learn to Play by the Rules? A Case Study on Nine Men's Morris
No full textDeep networks have been successfully applied to a wide range of tasks in artificial intelligence, and game playing is certainly not an exception. In this paper, we present an experimental study to assess whether purely sub-symbolic systems, such as deep networks, are capable of learning to play by the rules, without any a-priori knowledge neither of the game, nor of its rules, but only by observing the matches played by another player. Similar problems arise in many other application domains, where the goal is to learn rules, policies, behaviours, or decisions, simply by the observation of the dynamics of a system. We present a case study conducted with residual networks on the popular board game of Nine Men's Morris, showing that this kind of sub-symbolic architecture is capable of correctly discriminating legal from illegal decisions, just from the observation of past matches of a single player
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
