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- research-articleSeptember 2024
The Distance Between Us: Exploring the COVID-19 Intensive Care Unit Through the Soundscape of Biometric Monitoring
AM '24: Proceedings of the 19th International Audio Mostly Conference: Explorations in Sonic CulturesPages 533–542https://doi.org/10.1145/3678299.3678355Audio technology rested at the heart of the COVID-19 pandemic. Though heart rate monitors, ventilators, and pulse oximeters are not traditionally thought of as tools for musical expression, their sounds hold a resonance that has not been fully explored, ...
- research-articleJuly 2024
Software based on fuzzy logic for the classification of body mass cattle
- Luana Possari Maziero,
- Marcelo George Mungai Chacur,
- Camila Pires Cremasco,
- Deyver Bordin,
- Fernando Ferrari Putti,
- Luís Roberto Almeida Gabriel Filho
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 28, Issue 13-14Pages 8151–8165https://doi.org/10.1007/s00500-024-09699-8AbstractThe body mass index (BMI) is used by farmers to determine the body condition of animals, either to determine the best moment for slaughter or to classify animals for minimizing production costs. The objective of the present work was to establish ...
- ArticleSeptember 2023
Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making
Fuzzy Logic and Technology, and Aggregation OperatorsPages 342–353https://doi.org/10.1007/978-3-031-39965-7_29AbstractThis article investigates the use of two operational transformation techniques –that represent one interval-valued intuitionistic fuzzy number by two intuitionistic fuzzy numbers in a constructive manner– for the smooth aggregation of interval-...
- abstractMay 2023
Watch out for those bananas! Gaze Based Mario Kart Performance Classification
- Wolfgang Fuhl,
- Björn Severitt,
- Nora Castner,
- Babette Bühler,
- Johannes Meyer,
- Daniel Weber,
- Regine Lendway,
- Ruikun Hou,
- Enkelejda Kasneci
ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and ApplicationsArticle No.: 59, Pages 1–2https://doi.org/10.1145/3588015.3590136This paper is about a small eye tracking study for scan path classification. Seven participants played Mario Kart while wearing a head mounted eye tracker. In total, we had 64 recordings, but one had to be removed (Only 79 gaze samples were recorded). ...
- research-articleJune 2023
A Score approach to identify the risk of students dropout: an experiment with Information Systems Course
- Robinson Crusoé Da Cruz,
- Renato Correa Juliano,
- Francisco Carlos Monteiro Souza,
- Alinne Cristinne Correa Souza
SBSI '23: Proceedings of the XIX Brazilian Symposium on Information SystemsPages 120–127https://doi.org/10.1145/3592813.3592896Context: The student dropout in Higher Education contributes to much social, economic, and academic loss. Students have different reasons for dropping out but the main ones are related to difficulty in learning the content, the structure proposed by ...
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- research-articleDecember 2022
Ranked hesitant fuzzy sets for multi-criteria multi-agent decisions
Expert Systems with Applications: An International Journal (EXWA), Volume 209, Issue Chttps://doi.org/10.1016/j.eswa.2022.118276AbstractThis paper introduces and investigates ranked hesitant fuzzy sets, a novel extension of hesitant fuzzy sets that is less demanding than both probabilistic and proportional hesitant fuzzy sets. This new extension incorporates ...
Highlights- We introduce a new model called ranked hesitant fuzzy sets.
- We develop scores ...
- research-articleOctober 2022
OWA aggregation operators and multi-agent decisions with N-soft sets
Expert Systems with Applications: An International Journal (EXWA), Volume 203, Issue Chttps://doi.org/10.1016/j.eswa.2022.117430AbstractThis work improves the theoretical basis of N-soft sets and insists on their practical applications in a multi-agent context. N-soft sets characterize the alternatives in terms of multinary descriptions by attributes. We argue that ...
- articleApril 2022
A Deep Q-Network Eith Experience Optimization (DQN-EO) for Atari's Space Invaders and Its Performance Evaluation
International Journal of Distributed Systems and Technologies (IJDST-IGI), Volume 13, Issue 1Pages 1–13https://doi.org/10.4018/IJDST.296249During recent years, the deep Q-Learning is used to solve different complex problems in different fields. However, Deep Q-Learning does not have a unified method for solving certain problems because different problems require specific settings and ...
- research-articleJanuary 2022
AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data
Journal of Biomedical Informatics (JOBI), Volume 125, Issue Chttps://doi.org/10.1016/j.jbi.2021.103959Graphical abstractDisplay Omitted
Highlights- We extend AutoScore to survival data and present AutoScore-Survival framework.
- ...
Scoring systems are highly interpretable and widely used to evaluate time-to-event outcomes in healthcare research. However, existing time-to-event scores are predominantly created ad-hoc using a few manually ...
- research-articleJune 2021
A utility of pores as level 3 features in latent fingerprint identification
Multimedia Tools and Applications (MTAA), Volume 80, Issue 15Pages 23605–23624https://doi.org/10.1007/s11042-020-10207-xAbstractLatent fingerprint identification is the most prevalent process used by the forensic community from a long time. Smudgy, blurred, and small fingerprint area of the latent impressions results into the deficiency of the level 2 features i.e. ...
- research-articleJanuary 2021
Generalized trapezoidal hesitant fuzzy numbers and their applications to multi criteria decision-making problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 25, Issue 2Pages 1017–1032https://doi.org/10.1007/s00500-020-05201-2AbstractGeneralized hesitant trapezoidal fuzzy number whose membership degrees are expressed by several possible trapezoidal fuzzy numbers, is more adequate or sufficient to solve real-life decision problem than real numbers. Therefore, in this paper, to ...
- research-articleSeptember 2020
An Empirical Analysis of the Influential Factors of College Students' Academic Performance
ICDLT '20: Proceedings of the 2020 4th International Conference on Deep Learning TechnologiesPages 59–64https://doi.org/10.1145/3417188.3417212Based on the scores of selected undergraduates with two kinds of educational system in an ordinary university, with the help of variance analysis and multiple regression, the effects of different factors and their interaction on the total scores and the ...
- research-articleMarch 2019
Necessary and possible hesitant fuzzy sets: A novel model for group decision making
Information Fusion (INFU), Volume 46, Issue CPages 63–76https://doi.org/10.1016/j.inffus.2018.05.005Highlights- We propose a novel notion of necessary and possible hesitant fuzzy set, NaP-HFS
We propose an extension of Torra’s notion of hesitant fuzzy set, which appears to be well suited to group decision making. In our model, indecisiveness in judgements is described by two nested hesitant fuzzy sets: the smaller, called ...
- research-articleJanuary 2017
An Efficient Bayesian Network Structure Learning Strategy
New Generation Computing (NEWG), Volume 35, Issue 1Pages 105–124https://doi.org/10.1007/s00354-016-0007-6AbstractThis paper addresses the problem of efficiently finding an optimal Bayesian network structure for maximizing the posterior probability. In particular, we focus on the B& B strategy to save the computational effort associated with finding the ...
- research-articleJanuary 2016
Hesitant Fuzzy Worth
Applied Soft Computing (APSC), Volume 38, Issue CPages 232–243https://doi.org/10.1016/j.asoc.2015.09.035Graphical abstractDisplay Omitted HighlightsInnovative methodology for ranking hesitant fuzzy sets based on Social Choice.Novel application 1: real problem of ranking universities via metarankings.Novel application 2: procedure for improving teaching ...
- ArticleNovember 2015
Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis
AbstractThis paper addresses the problem of efficiently finding an optimal Bayesian network structure w.r.t. maximizing the posterior probability and minimizing the description length. In particular, we focus on the branch and bound strategy to save ...
- research-articleAugust 2014
EGARCH models with fat tails, skewness and leverage
An EGARCH model in which the conditional distribution is heavy-tailed and skewed is proposed. The properties of the model, including unconditional moments, autocorrelations and the asymptotic distribution of the maximum likelihood estimator, are set ...
- articleFebruary 2014
On the internal dynamics of the Shanghai ranking
The Academic Ranking of World Universities (ARWU) published by researchers at Shanghai Jiao Tong University has become a major source of information for university administrators, country officials, students and the public at large. Recent discoveries ...
- articleOctober 2013
Bayesian estimation of order-restricted and unrestricted association models
Journal of Multivariate Analysis (JMUL), Volume 121Pages 109–126https://doi.org/10.1016/j.jmva.2013.06.008Association models include score parameters to multiplicatively represent the hierarchy between the levels of the considered ordinal factor. If order restrictions are placed on the scores, an estimation problem becomes a non-linear and restricted ...
- articleMay 2010
An adjustable approach to fuzzy soft set based decision making
Journal of Computational and Applied Mathematics (JCAM), Volume 234, Issue 1Pages 10–20https://doi.org/10.1016/j.cam.2009.11.055Molodtsov's soft set theory was originally proposed as a general mathematical tool for dealing with uncertainty. Recently, decision making based on (fuzzy) soft sets has found paramount importance. This paper aims to give deeper insights into decision ...