1,721,270 research outputs found
ETFP (Eye-Tracking and Fixation Points)
Full text linkETFP (Eye-Tracking and Fixation Points) consists of two eye-tracking datasets: EToCVD (Eye-Tracking of Colour Vision Deficiencies) and ETTO (Eye-Tracking Through Objects). The former is a collection of images, their corresponding eye-movement coordinates and the fixation point maps, obtained by involving two cohorts, respectively, people with and without CVD (Colour Vision Deficiencies). The latter collects images with just one object laying on a homogeneous background, the corresponding eye-movement coordinates and fixation point maps gathered during eye-tracking sessions. The primary purposes behind the two datasets are to study and analyse, respectively, colourblindness and object-attention.A brief description of the experimental sessions and settings for both EToCVD and ETTO is given down below.EToCVD: The experimental sessions for EToCVD involved eight subjects with a fully efficient colour vision perception and eight participants with a colour-deficient vision system. More precisely, three subjects were affected by deuteranopia, while the other five were affected by protanopia. We conducted two experimental eye-tracking sessions: the first was focused on detecting how different the fixation points among the two cohorts. The first one is needed to assess our method's effectiveness in enhancing the images for colour blind people. Both eye-tracking sessions consist of repeating the same procedures. The first session also includes a test with Ishihara plates to evaluate which kind of colour vision deficiency the subjects were affected.ETTO: The primary purpose of ETTO is to investigate the relationships between saliency and object visual attention processes. A computer showed each image at full resolution for a time frame of three seconds, separated by one second of viewing a grey screen. The database consists of several pictures with single objects in the foreground and a homogeneous coloured background region. ETTO has been used to assess saliency methods' effectiveness based on different computational and perceptual approaches concerning the object attention process.The experimental sessions have been conducted in a half-light room. The participants were kept almost 70 cm off a 22-inch monitor having a spatial resolution of 1,920 by 1,080 pixels. During the eye-tracking session, a Tobii EyeX device recorded the eye movements, the saccadic movements, and the scan paths of each subject while looking at the images projected on the screen. For each subject, a calibration step was needed, in order, to minimise saccadic movement tracking errors, to compute and assess the geometry of the setup (e.g., screen size, distance, etc.), and to collect measurements of light refractions and reflection properties of the corneas of each subject. Rather than using the standard Tobii EyeX Engine calibration (nine-point calibration step), we used Tobii MATLAB Toolbox 3.1 calibration, whose procedure relies on a set of 13 points.Viewers were shown each image for 3 seconds, while Tobii EyeX acquired the eye movements' spatial coordinates. The eye-tracker collected, on average, 160 spatial coordinates per 3 seconds because of the frequency rate of 55 Hz). Before switching to the next image, the screen turned grey for 1 second to refresh the observer retina from the previous image signal
A Comparative Analysis of ARIMA and LSTM Models for Bitcoin Price Prediction
No full textA comparative study of two prediction techniques over Bitcoin price movements was carried out with ARIMA (AutoRegressive Integrated Moving Average), a statistical approach, and LSTM (Long Short-Term Memory), a specialized type of recurrent neural network (RNN) architecture, for predictive modelling of Bitcoin price movements. Yahoo Finance was employed to collect historical closing prices and obtain a comprehensive dataset that captures Bitcoin’s inherent volatility and non-stationary behaviour. Following data preprocessing, ARIMA parameters were identified based on stationarity tests and autocorrelation analyses, ensuring suitability for the dataset. Using a sequence-based approach, an LSTM model with two 50-unit layers was employed to capture complex temporal patterns, two Dropout layers were added to mitigate overfitting. Both models were trained and validated using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The experimental results offer insights into the strengths and limitations of each method. While ARIMA provides a robust baseline with interpretable parameters, LSTM demonstrates superior performance in capturing non-linear dependencies. Specifically, for daily forecasts, ARIMA achieves an MAE of 4,233.98 and an RMSE of 4,988.18, whereas LSTM reaches an MAE of 23,411.44 and an RMSE of 2,418.92. For minute-level forecasts, ARIMA yields an MAE of 248.07 and an RMSE of 306.55, while LSTM obtains an MAE of 1,582.51 and an RMSE of 59.00
Personality Traits Prediction from Text via Machine Learning
No full textSocial media platforms have been expanding their user bases. For example, LinkedIn counts 917 million monthly visitors, while Twitter has 3.62 billion monthly visitors. YouTube has 22.77 billion monthly visitors, and Instagram has 2.86 billion monthly visitors. Reports confirm data size increase of the social media networks above by 20–30% every day. With the spread of COVID-19, the same platforms have been broadly used by the worldwide collectiveness to socialize and stay amongst people. Analyzing text from Social Networking sites helps recognize individuals' personality traits automatically. A person's personality refers to their unique characteristics that shape their habits, behaviour, attitude, and cognitive tendencies. In this work, several machine learning techniques are surveyed to estimate personality traits from input text using the Myers-Briggs Type Indicator (MBTI) model. Experiments are run over a freely accessible dataset from Kaggle. In addition, techniques such as tokenization, word stemming, stop word elimination, and feature selection, utilizing TF-IDF, are used to analyze personality traits further
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
Saliency Map for Visual Perception
Full text linkHuman and other primates move their eyes to select visual information from the scene, psycho-visual experiments (Constantinidis, 2005) suggest that attention is directed to visually salient locations in the image. This allows human beings to bring the fovea onto the relevant parts of the image, to interpret complex scenes in real time. In visual perception, an important result was the discovery of a limited set of visual properties (called pre attentive), detected in the first 200-300 milliseconds of observation of a scene, by the low-level visual system. In last decades many progresses have been made into research of visual perception by analyzing both bottom up (stimulus driven) and top down (task dependent) processes involved in human attention. Visual Saliency deals with identifying fixation points that a human viewer would focus on the first seconds of the observation of a scene
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
De objetos, intérpretes y foros: La arqueología y su status en la investigación judicial del pasado reciente
No full textEl presente trabajo indaga en el recorrido de los estudios arqueológicos sobre los antiguos centros clandestinos de detención, y su situación actual en el contexto de los juicios por crímenes de lesa humanidad en Argentina. Para ello, buscamos rastrear las diferentes aproximaciones a la materialidad de los ex-CCD desde el retorno de la democracia, y a su vez analizar las técnicas de representación y persuasión que rigen la producción de evidencia en el foro judicial, a fin de evaluar las razones de su tardía y vacilante incorporación como herramienta pericial a diferencia de lo ocurrido con el desarrollo de la antropología forense en Argentina.This article inquires into the itinerary followed by the archaeological research of the former clandestine detention centers and its current situation in the context of trials for crimes against humanity in Argentina. We seek to trace the different approaches to the materiality of the former CDCs since the return of democracy, and in turn analyze the representation and persuasion techniques that govern the production of evidence in the judicial forum, in order to assess the reasons for its late and hesitant incorporation as a forensic tool, by contrast with the development of forensic anthropology in Argentina.Fil: Rosignoli, Bruno Alessandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Centro de Estudios En Arqueología y Memoria; Argentina. Centro de Estudios e Investigaciones en Antropología y Arqueología; Argentin
Archaeology of State Terrorism: Exploring the Territorial Strategies of Clandestine Repression in Argentina (1976–1983)
Full text linkIn Latin America, the Archaeology of the Contemporary Past focuses on investigation of the massive human rights violations perpetrated by the authoritarian regimes that ruled the countries in this region between 1960s and 1980s. These military governments instituted terror regimes in order to achieve a de-politicization of civil society through fear. To ensure their success, they displayed the most extreme forms of repression, including imprisonment, forced exile, murder and the disappearance of thousands of political opponents. This paper examines the regional particularities of the clandestine repression in Argentina, specifically in the military jurisdiction known as Area 211, which was subordinated to the II Defense Zone Command. Taking an archaeological and territorial approach, I applied the analysis tools provided by Geographic Information Systems (GIS), combining historical and spatial information to investigate the modes by which repressive systems administered the bodies of their victims.Fil: Rosignoli, Bruno Alessandro. Universidad Nacional de Rosario. Facultad de Humanidades y Artes. Escuela de Antropología. Departamento de Arqueología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentin
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