2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)最新文献_第6页

A tool supported framework for the assessment of algorithmic accountability 一个由工具支持的评估算法问责制的框架

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900715

Eleni Tagiou, Y. Kanellopoulos, Christos Aridas, C. Makris

{"title":"A tool supported framework for the assessment of algorithmic accountability","authors":"Eleni Tagiou, Y. Kanellopoulos, Christos Aridas, C. Makris","doi":"10.1109/IISA.2019.8900715","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900715","url":null,"abstract":"Algorithmic decision making is now being used by many organizations and businesses, and in crucial areas that directly affect peoples’ lives. Thus the importance for us to be able to control their decisions and to avoid irreversible errors is rapidly increasing. Evaluating an algorithmic system and the organization that utilizes it in terms of accountability and transparency bears certain challenges. Merely these are the lack of a widely accepted evaluation standard and the tendency of organizations that employ such systems to avoid disclosing any relevant information about them. Our thesis is that the mandate for transparency and accountability should be applicable to both systems and organizations. In this paper we present an evaluation framework regarding the transparency of algorithmic systems by focusing on the way these have been implemented. This framework also evaluates the maturity of the organizations that utilize these systems and their ability to hold them accountable. In order to validate our framework we applied it on a classification algorithm created and utilized by a large financial institution. The main insight for us was that when organizations create their algorithmic systems, accountability and transparency might be indeed recognized as values. However, they are either taken into account at a later stage and from the perspective of control or they are simply neglected. The value of frameworks like the one presented in this paper is that they act as check-lists providing a set of best-practices to organizations in order to cater for accountable algorithmic systems at an early stage of their creation.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134116413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Navigation of inertial forces driven mini-robots using reinforcement learning 使用强化学习的惯性力驱动微型机器人导航

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900672

Piyabhum Chaysri, K. Blekas, K. Vlachos

引用次数: 1

PV Array Fault Detection using Radial Basis Networks 基于径向基网络的光伏阵列故障检测

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900710

Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, A. Spanias, C. Tepedelenlioğlu, E. Kyriakides

引用次数: 12

WARP: A Workflow-Aware Instructional Platform for Competency-Based Learning WARP:基于能力学习的工作流感知教学平台

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900784

J. L. M. Z. Año, Geoffrey A. Solano, John Hernán, R. Francisco

引用次数: 0

Skip Miner: Towards the Simplification of Spaghetti-like Business Process Models Skip Miner:迈向意大利面式业务流程模型的简化

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900713

Edgar Batista, A. Solanas

引用次数: 2

Emerging multi-functional, personalized secure environments 新兴的多功能、个性化安全环境

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900721

I. Pikrammenos, Chrristos Lampiris, Panagiotis Tolis, Panagiotis Perakis

引用次数: 0

Clique-finding Tool for Detecting Approximate Gene Clusters 用于检测近似基因簇的派系查找工具

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900766

Bianca Camille Silmaro, Geoffrey A. Solano

引用次数: 1

A precision medicine approach for non-opioid pain therapy using a combination of multi-objective optimization and support vector regression 多目标优化与支持向量回归相结合的非阿片类疼痛精准治疗方法

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900689

J. Gudin, S. Mavroudi, A. Korfiati, K. Theofilatos, D. Dietze, Peter L Hurwitz

{"title":"A precision medicine approach for non-opioid pain therapy using a combination of multi-objective optimization and support vector regression","authors":"J. Gudin, S. Mavroudi, A. Korfiati, K. Theofilatos, D. Dietze, Peter L Hurwitz","doi":"10.1109/IISA.2019.8900689","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900689","url":null,"abstract":"Chronic pain has been linked with negative impacts on psychological and social factors, with mortality and several diseases. Lately, emphasis has been focused on non-opioid treatments to overcome its addictive nature and other side effects. To address this, the OPERA study evaluated the effectiveness of topical analgesics as an alternative method to opioids for pain therapy. Initial results showed that topical analgesics have significant benefits for the majority of chronic pain patients. However, there were segments of patients who did not seem to benefit from prescribed therapy and some participants whose situation deteriorated after the intervention. In the present study, we are exploring the potential of machine learning methods to classify chronic pain patients into those who will benefit from topical analgesics treatment and those who will not, in order to personalize their treatment. For this purpose, we utilized a hybrid combination of multi-objective optimization and support vector regression which is able to handle imbalanced datasets, select the optimal features subset and optimize the parameters of the regression model so as to maximize the predictive accuracy. The proposed method significantly overcame other state-of-the-art methods. Experimental results showed that its application can predict, with reasonable accuracy (AUC 73.8-87.2%), the outcomes of this study allowing for a precision medicine approach in treating chronic pain.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126485576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set 金融技术应用中的局部失真隐藏:基于基准数据集的案例研究

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900733

G. Feretzakis, Dimitris Kalles, Vassilios S. Verykios

引用次数: 2

Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance C4.5决策树预测学生学习成绩的多目标优化

2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) Pub Date : 2019-07-01 DOI: 10.1109/IISA.2019.8900771

Georgios Kostopoulos, Nikos Fazakis, S. Kotsiantis, K. Sgarbas

{"title":"Multi-objective Optimization of C4.5 Decision Tree for Predicting Student Academic Performance","authors":"Georgios Kostopoulos, Nikos Fazakis, S. Kotsiantis, K. Sgarbas","doi":"10.1109/IISA.2019.8900771","DOIUrl":"https://doi.org/10.1109/IISA.2019.8900771","url":null,"abstract":"Applying data mining methods in the educational field has gained a lot of attention among scientists over the last years. Educational Data Mining forms an ever-developing research area aiming to unveil the hidden knowledge in educational data and improve students’ learning behavior and outcomes. To this end, a plethora of data mining methods have already been implemented in various educational settings solving a variety of tasks, among which the prediction of students’ academic performance as well. Decision trees have proven to be a quite effective method for both classification and regression problems showing a number of considerable advantages, such as efficiency, simplicity, flexibility and interpretability. Moreover, configuration of parameter values has often a material impact on building optimal trees in terms of accuracy and/or size. In this context, the main objective of our study is to yield a highly accurate and interpretable classification tree for the early prognosis of students at risk of failing in a university course. Thereby, effective intervention and support actions could be initiated to motivate students and enhance their performance. The experimental results demonstrate that the induction of the C4.5 decision tree classifier through an evolutionary algorithm, such as the Speed -constrained Multi-objective Particle Swarm Optimization algorithm, yields more accurate and easier to construe trees.","PeriodicalId":371385,"journal":{"name":"2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131839990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1