2016 5th Brazilian Conference on Intelligent Systems (BRACIS)最新文献_第3页

Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method 二维广义互子空间方法的图像集匹配

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.034

B. Gatto, E. M. Santos

引用次数: 6

Using Preferences over Sources of Information in Argumentation-Based Reasoning 在基于论证的推理中对信息源的偏好

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.017

Alison R. Panisson, Victor S. Melo, Rafael Heitor Bordini

{"title":"Using Preferences over Sources of Information in Argumentation-Based Reasoning","authors":"Alison R. Panisson, Victor S. Melo, Rafael Heitor Bordini","doi":"10.1109/BRACIS.2016.017","DOIUrl":"https://doi.org/10.1109/BRACIS.2016.017","url":null,"abstract":"Argumentation-based reasoning plays an important role in agent reasoning and communication, yet little research has been carried out on the issues in integrating argumentation techniques into practical multi-agent platforms and the various sources of information in such systems. In this work, we extend an argumentation-based reasoning mechanism to take into account preferences over arguments supporting contrary conclusions, which in practice means the agent will be able to act more informedly, being able to decide on beliefs about which it would be otherwise ambivalent. Such preferences come from elements that are present or can be more easily obtained in the context of practical multi-agent programming platforms, such as multiple sources from which the information (used to construct the arguments) was acquired, as well as varying degrees of trust on them. Further, we introduce different agent profiles by varying the way certain operators are applied over the various information sources leading to the preferences over competing arguments in our approach. Unlike previous approaches, our approach accounts for multiple sources for a single piece of information and is based on an argumentation-based reasoning mechanism implemented on a multi-agent platform so arguably more computationally grounded than those approaches.","PeriodicalId":183149,"journal":{"name":"2016 5th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133027556","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: 13

Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion 基于共现频率展开的短文本主题建模

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.058

Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, A. Lacerda, G. Pappa

{"title":"Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion","authors":"Gabriel Pedrosa, Marcelo Pita, Paulo Viana Bicalho, A. Lacerda, G. Pappa","doi":"10.1109/BRACIS.2016.058","DOIUrl":"https://doi.org/10.1109/BRACIS.2016.058","url":null,"abstract":"Short texts are everywhere on the Web, including messages in social media, status messages, etc, and extracting semantically meaningful topics from these collections is an important and difficult task. Topic modeling methods, such as Latent Dirichlet Allocation, were designed for this purpose. However, discovering high quality topics in short text collections is a challenging task. This is because most topic modeling methods rely on information coming from the word co-occurrence distribution in the collection to extract topics. As in short text this information is scarce, topic modeling methods have difficulties in this scenario, and different strategies to tackle this problem have been proposed in the literature. In this direction, this paper introduces a method for topic modeling of short texts that creates pseudo-documents representations from the original documents. The method is simple, effective, and considers word co-occurrence to expand documents, which can be given as input to any topic modeling algorithm. Experiments were run in four datasets and compared against state-of-the-art methods for extracting topics from short text. Results of coherence, NPMI and clustering metrics showed to be statistically significantly better than the baselines in the majority of cases.","PeriodicalId":183149,"journal":{"name":"2016 5th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122379635","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: 15

ASAClu: Selecting Diverse and Relevant Clusters ASAClu:选择多样化和相关的集群

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.091

Joao Luis Baptista de Almeida, T. Sakata, Katti Faceli

引用次数: 0

A Bio-inspired Optimization Technique for Cluster Ensembles Optimization 一种生物启发的簇集成优化技术

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.054

Huliane M. Silva, A. Canuto, I. Medeiros, J. C. Xavier

{"title":"A Bio-inspired Optimization Technique for Cluster Ensembles Optimization","authors":"Huliane M. Silva, A. Canuto, I. Medeiros, J. C. Xavier","doi":"10.1109/BRACIS.2016.054","DOIUrl":"https://doi.org/10.1109/BRACIS.2016.054","url":null,"abstract":"Several clustering algorithms have been applied to a great variety of problems in different application domains. Each algorithm, however, has its own advantages and limitations, which can result in different solutions for the same problem. In this sense, combining different clustering algorithms (cluster ensembles) is one of the most used approaches, in an attempt to overcome the limitations of each clustering technique. The main aim is to combine multiple partitions generated by different clustering algorithms into a single clustering solution (consensus partition). To date, several approaches have been proposed in literature in order to provide optimization, or continuously improve the solutions found by the cluster ensembles. Therefore, as a contribution to this important subject, this paper presents a new bio-inspired optimization technique to optimize the cluster ensembles. In this proposed technique, the cluster ensembles are heterogeneously created and the initial partitions are combined through a method which uses the Coral Reefs Optimization algorithm, resulting in a consensus partition. In order to evaluate the feasibility of the proposed technique, an empirical analysis will be conducted using 15 different problems and applying two different indexes in order to examine its efficiency and feasibility.","PeriodicalId":183149,"journal":{"name":"2016 5th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125162286","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

BaNHFaP: A Bayesian Network Based Failure Prediction Approach for Hard Disk Drives BaNHFaP:基于贝叶斯网络的硬盘故障预测方法

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.083

I. C. Chaves, M. R. P. Paula, L. G. Leite, Lucas P. Queiroz, J. Gomes, Javam C. Machado

引用次数: 22

Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation 评价基于声誉的代理人在社会联盟形成中的影响

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.047

C. Souza, F. Enembreck

{"title":"Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation","authors":"C. Souza, F. Enembreck","doi":"10.1109/BRACIS.2016.047","DOIUrl":"https://doi.org/10.1109/BRACIS.2016.047","url":null,"abstract":"This paper proposes a dynamic and decentralized model for coalitional skill games (CSG). The model calculates and exploits the reputation of individuals connected by a network, as an alternative to the usual CSG approaches that require reward analysis for every possible coalition to determine an optimal coalition structure for maximizing the total reward from the community. In this study, we restrict the search space for partnerships to the social neighborhoods of agents so that the social capital is used to reach a near-optimal solution by identifying how reputation can be used to better adapt the network, with the objective of bringing together agents who are more likely to cooperate in successful coalitions. In addition, our model allows a more precise quantifying of the relevance of the agents over time in social coalition formation. Experiments with different initial network topologies show that our approach is significantly better than static networks or structure-based adaptations whenever the initial network does not fit a high degree of interconnectedness, such as in a small-world model. In all the cases, the results are statistically better than current adaptation strategies.","PeriodicalId":183149,"journal":{"name":"2016 5th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116566153","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

Data Clustering Using Group Search Optimization with Alternative Fitness Functions 具有备选适应度函数的群体搜索优化数据聚类

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.062

L. Pacífico, Teresa B Ludermir

引用次数: 6

Allocation of Volunteers in Non-governmental Organizations Aided by Non-supervised Learning 非监督学习辅助下的非政府组织志愿者分配

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.049

Carlos M. M. Bezerra, Danilo R. B. Araújo, V. Macário

引用次数: 1

A Module-Based Approach for Evaluating Differential Genome-Wide Expression Profiles 基于模块的差异全基因组表达谱评估方法

2016 5th Brazilian Conference on Intelligent Systems (BRACIS) Pub Date : 2016-10-01 DOI: 10.1109/BRACIS.2016.069

J. D. S. Dias, Ronnie Alves, T. Commes

{"title":"A Module-Based Approach for Evaluating Differential Genome-Wide Expression Profiles","authors":"J. D. S. Dias, Ronnie Alves, T. Commes","doi":"10.1109/BRACIS.2016.069","DOIUrl":"https://doi.org/10.1109/BRACIS.2016.069","url":null,"abstract":"Transcription is the process of making an RNA copy of a gene sequence. Next, this copy (mRNA) is then translated into proteins. Proteins dictates the expected behavior inside the cells and are required for the structure, function, and regulation of the body's tissues and organs. Together, transcription and translation are known as gene expression. Transcriptograms are basically defined as \"images\" of gene expression data of genomes, by generating expression profiles for transcriptomes. They allow to assess cell metabolism, being capable of discriminating the stage the cell is going through at a given instant, as well as pointing metabolic changes in altered cellular states as compared to a control state, independently of the transcriptome profilling protocol. Though, they cannot highlight differential expression profiles. We present a new possibility of RNA-Seq data analysis using Transcriptograms for discovering module-based differential expression profiles. We demonstrate its practical application while obtaining more specific gene signatures as well as functional annotations, closely related to biomedical context. Moreover, these signatures are also enriched by survival cancer analysis.","PeriodicalId":183149,"journal":{"name":"2016 5th Brazilian Conference on Intelligent Systems (BRACIS)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133822260","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: 0