International Journal on Artificial Intelligence Tools最新文献_第10页

Glaucoma Detection in Retinal Fundus Images Based on Deep Transfer Learning and Fuzzy Aggregation Operators 基于深度迁移学习和模糊聚集算子的眼底图像青光眼检测

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-17 DOI: 10.1142/s0218213023400018

M.Y.S. Ali, M. Jabreel, A. Valls, M. Baget, M. Abdel-Nasser

引用次数: 0

An Integrated Framework with Deep Learning for Segmentation and Classification of Cancer Disease 基于深度学习的肿瘤疾病分割与分类集成框架

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-17 DOI: 10.1142/s021821302340002x

H. K. Bhuyan, V. Ravi

引用次数: 4

Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health 预处理和人工智能提高心理健康的可解释性

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-17 DOI: 10.1142/s0218213023400110

X. Angerri, K. Gibert

{"title":"Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health","authors":"X. Angerri, K. Gibert","doi":"10.1142/s0218213023400110","DOIUrl":"https://doi.org/10.1142/s0218213023400110","url":null,"abstract":"This paper shows the added value of using the existing specific domain knowledge to generate new derivated variables to complement a target dataset and the benefits of including these new variables into further data analysis methods. The main contribution of the paper is to propose a methodology to generate these new variables as a part of preprocessing, under a double approach: creating 2nd generation knowledge-driven variables, catching the experts criteria used for reasoning on the field or 3rd generation data-driven indicators, these created by clustering original variables. And Data Mining and Artificial Intelligence techniques like Clustering or Traffic light Panels help to obtain successful results. Some results of the project INSESS-COVID19 are presented, basic descriptive analysis gives simple results that even though they are useful to support basic policy-making, especially in health, a much richer global perspective is acquired after including derivated variables. When 2nd generation variables are available and can be introduced in the method for creating 3rd generation data, added value is obtained from both basic analysis and building new data-driven indicators. © 2023 World Scientific Publishing Company.","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"2143 1","pages":"2340011:1-2340011:36"},"PeriodicalIF":1.1,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86554490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Effective Depression Diagnostic System Using Speech Signal Analysis Through Deep Learning Methods 基于深度学习方法的语音信号分析的抑郁症诊断系统

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-17 DOI: 10.1142/s0218213023400043

A. Verma, P. Jain, T. Kumar

引用次数: 1

Multimodal Biometrics Authentication in Healthcare Using Improved Convolution Deep Learning Model 基于改进卷积深度学习模型的医疗保健中的多模态生物识别认证

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-15 DOI: 10.1142/s0218213023400134

S. Balaji, U. Rahamathunnisa

引用次数: 0

Deep Learning with Game Theory Assisted Vertical Handover Optimization in a Heterogeneous Network 基于博弈论的深度学习辅助异构网络垂直切换优化

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-12 DOI: 10.1142/s0218213023500124

S. Kayikci, Nazeer Unnisa, Anupam Das, S. K. R. Kanna, Mantripragada Yaswanth Bhanu Murthy, Ninu Preetha Nirmala Sreedharan, Brammya Ganesan

引用次数: 0

Fast Violence Recognition in Video Surveillance by Integrating Object Detection and Conv-LSTM 基于目标检测和卷积lstm的视频监控快速暴力识别

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-04 DOI: 10.1142/s0218213023400183

N. Jain, V. Gupta, U. Tariq, D. Hemanth

引用次数: 0

Towards Algorithms for Argumentation Frameworks with Higher-order Attacks 基于高阶攻击的论证框架算法研究

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-01 DOI: 10.1142/s0218213022600077

S. Doutre, Mickael Lafages, M. Lagasquie-Schiex

引用次数: 1

Correlating the Community Structure of Constraint Satisfaction Problems with Search Time 约束满足问题的群体结构与搜索时间的关系

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-01 DOI: 10.1142/s0218213022600041

Michel Medema, A. Lazovik

{"title":"Correlating the Community Structure of Constraint Satisfaction Problems with Search Time","authors":"Michel Medema, A. Lazovik","doi":"10.1142/s0218213022600041","DOIUrl":"https://doi.org/10.1142/s0218213022600041","url":null,"abstract":"A constraint satisfaction problem (CSP) is, in its most general form, an NP-complete problem. One of the several classes of tractable problems that exist contains all the problems with a restricted structure of the constraint scopes. This paper studies community structure, a particular type of restricted structure underpinning a class of tractable SAT problems with potentially similar relevance to CSPs. Using the modularity, it explores the community structure of a wide variety of problems with both academic and industrial relevance. Its impact on the search times of several general solvers, as well as one that uses tree-decomposition, is also analysed to determine whether constraint solvers exploit this type of structure. Nearly all CSP instances have a strong community structure, and those belonging to the same class have comparable modularity values. For the general solvers, strong correlations between the community structure and the search times are not apparent. A more definite correlation exists between the modularity and the search times of the tree-decomposition, suggesting that it might, in part, be able to take advantage of the community structure. However, combined with the relatively strong correlation between the modularity and the tree-width, it could also indicate a similarity between these two measures.","PeriodicalId":50280,"journal":{"name":"International Journal on Artificial Intelligence Tools","volume":"2 1","pages":"2260004:1-2260004:28"},"PeriodicalIF":1.1,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91307529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities WPEviRC:一种基于多规则的无类标签歧义的证据数据库分类器

IF 1.1 4区计算机科学

International Journal on Artificial Intelligence Tools Pub Date : 2022-11-01 DOI: 10.1142/s0218213022600028

Nassim Bahri, Mohamed Anis Bach Tobji, B. B. Yaghlane

引用次数: 0