Search results for "artificial intelligence"
showing 10 items of 6122 documents
Emotion Based Music Recommendation System
2020
Nowadays, music platforms provide easy access to large amounts of music. They are working continuously to improve music organization and search management thereby addressing the problem of choice and simplify exploring new music pieces. Recommendation systems gain more and more popularity and help people to select appropriate music for all occasions. However, there is still a gap in personalization and emotions driven recommendations. Music has a great influence on humans and is widely used for relaxing, mood regulation, destruction from stress and diseases, to maintain mental and physical work. There is a wide range of clinical settings and practices in music therapy for wellbeing support.…
Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices
2021
Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other health-related wearable devices, wearable or portable devices for stress assessment have not been developed yet. A major requirement for the development of such a device is a time-efficient algorithm. This study investigates the performance of computer-aided approaches for mental stress assessment. Machine learning (ML) approaches are compared in terms of the time required for feature extraction and classification. After conducting tests on data for real-t…
Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series
2013
We present a framework for the estimation of transfer entropy (TE) under the conditions typical of physiological system analysis, featuring short multivariate time series and the presence of instantaneous causality (IC). The framework is based on recognizing that TE can be interpreted as the difference between two conditional entropy (CE) terms, and builds on an efficient CE estimator that compensates for the bias occurring for high dimensional conditioning vectors and follows a sequential embedding procedure whereby the conditioning vectors are formed progressively according to a criterion for CE minimization. The issue of IC is faced accounting for zero-lag interactions according to two a…
Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values
2022
Missing data are unavoidable in the real-world application of unsupervised machine learning, and their nonoptimal processing may decrease the quality of data-driven models. Imputation is a common remedy for missing values, but directly estimating expected distances have also emerged. Because treatment of missing values is rarely considered in clustering related tasks and distance metrics have a central role both in clustering and cluster validation, we developed a new toolbox that provides a wide range of algorithms for data preprocessing, distance estimation, clustering, and cluster validation in the presence of missing values. All these are core elements in any comprehensive cluster analy…
Motivic Pattern Extraction in Music, and Application to the Study of Tunisian Modal Music
2007
A new methodology for automated extraction of repeated patterns in time-series data is presented, aimed in particular at the analysis of musical sequences. The basic principles consists in a search for closed patterns in a multi-dimensional parametric space. It is shown that this basic mechanism needs to be articulated with a periodic pattern discovery system, implying therefore a strict chronological scanning of the time-series data. Thanks to this modelling global pattern filtering may be avoided and rich and highly pertinent results can be obtained. The modelling has been integrated in a collaborative pro ject between ethnomusicology, cognitive sciences and computer science, aimed at the…
Robotization of Mobile Communication
2020
The aim of this chapter is to systematize the discussion regarding robotization of mobile communication. The chapter begins by clarifying the fundamental role of both robot hardware and robot software in this process. This is followed by a critical overview of existing research, which is classified into three categories. First, robotization is understood as the hybridization of the human body with existing ordinary mobile devices. Second, the incorporation of new robotic software, such as algorithms, artificial intelligence, and virtual assistants, into mobile devices is seen to robotize them from inside. Third, the convergence of smart communication devices, typically as user interfaces wi…
Inhibitory priming in auditory word recognition: Is it really the product of response biases ?
2007
Les études en amorçage phonologique ont révélé des temps de réponse plus lents lorsque des mots cibles sont précédés d’une amorce partageant avec eux les premiers phonèmes. Cependant, l’interprétation de l’effet d’amorçage inhibiteur est source de controverses. Alors que certains auteurs ont interprété l’effet comme reflétant des processus lexicaux, Pitt et Shoaf (2002) ont émis l’hypothèse que l’effet résulterait d’une surprise des participants lorsqu’ils rencontrent le premier essai relié. Pour éviter un tel biais de réponse, nous avons inclus des amorces et des cibles reliées dans la session d’entraînement, et nous avons comparé comme l’ont fait Pitt et Shoaf, l’amplitude de l’effet sur…
Does orthographic processing emerge rapidly after learning a new script?
2021
Epub 2020 Aug 11 Orthographic processing is characterized by location-invariant and location-specific processing (Grainger, 2018): (1) strings of letters are more vulnerable to transposition effects than the strings of symbols in same-different tasks (location-invariant processing); and (2) strings of letters, but not strings of symbols, show an initial position advantage in target-in-string identification tasks (location-specific processing). To examine the emergence of these two markers of orthographic processing, we conducted a same-different task and a target-in-string identification task with two unfamiliar scripts (pre-training experiments). Across six training sessions, participants …
The Images of the Others in Rome (and Geo-Climatic Determinism) (Le Immagini Dell'Altro a Roma (E Il Determinismo Climatico-Ambientale))
2008
In order to explain the anthropic differences of the foreign people, many Roman authors often make use of the well known theory of geo-climatic determinism. Within the frame of this theory Rome becomes the center of the world, i. e., the place of normality, culture, and identity. The Roman identity, however, is not exclusive and is deeply rooted in alterity. In fact, the foundation of Rome, seen as "conluvies convenarum", can always be repeated by means of the conquests of the "Other", who can easily become "identical".
E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce
2018
In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as or…