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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Craig Mahoney, Joshua Montgomery, Stephanie Connor and Danielle Cobbaert
Boreal wetlands within the oil sands region of Alberta, Canada, are subject to natural and anthropogenic pressures, resulting in the need for monitoring these sensitive ecosystems to ensure their protection. This study presents results from Canada?s pilo...
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Samia Masood Awan, Muhammad Ajmal Azad, Junaid Arshad, Urooj Waheed and Tahir Sharif
The connected or smart environment is the integration of smart devices (sensors, IoT devices, or actuator) into the Internet of Things (IoT) paradigm, in which a large number of devices are connected, monitoring the physical environment and processes and...
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Julian Chenin and Heather Bedle
An effective method of identifying and discriminating undersaturated gas accumulations remains unresolved, resulting in uncertainty in hydrocarbon exploration. To address this problem, an unsupervised machine learning multi-attribute analysis is performe...
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Chuanyan Feng, Shuang Liu, Xiaoru Wanyan, Hao Chen, Yuchen Min and Yilan Ma
In order to discriminate situation awareness (SA) levels on the basis of SA-sensitive electroencephalography (EEG) features, the high-SA (HSA) group and low-SA (LSA) groups, which are representative of two SA levels, were classified according to the situ...
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Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu and Alain Tapp
The widespread use of automated decision processes in many areas of our society raises serious ethical issues with respect to the fairness of the process and the possible resulting discrimination. To solve this issue, we propose a novel adversarial train...
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Xiangxiang Zheng, Guojin He, Shanshan Wang, Yi Wang, Guizhou Wang, Zhaoying Yang, Junchuan Yu and Ning Wang
The early identification of potential landslide hazards is of great practical significance for disaster early warning and prevention. The study used different machine learning methods to identify potential active landslides along a 15 km buffer zone on b...
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Yuelei Xiao and Haiqi Li
Privacy preserving data publishing has received considerable attention for publishing useful information while preserving data privacy. The existing privacy preserving data publishing methods for multiple sensitive attributes do not consider the situatio...
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Yeong-Cherng Hsu, Chih-Hsin Hsueh and Ja-Ling Wu
With the growing popularity of cloud computing, it is convenient for data owners to outsource their data to a cloud server. By utilizing the massive storage and computational resources in cloud, data owners can also provide a platform for users to make q...
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Novi Aryani Fitri, M. Udin Harun Al Rasyid, Amang Sudarsono
Pág. 151 - 175
Information on medical record is very sensitive data due to the number of confidential information about a patient's condition. Therefore, a secure and reliable storage mechanism is needed so that the data remains original without any changes during it w...
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