2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing最新文献_第2页

Rank information fusion for challenging ocular image recognition 基于秩信息融合的挑战性眼图像识别

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622241

M. Monwar, B. Kumar, Vishnu Naresh Boddeti, J. Smereka

引用次数: 7

Functional Mesh Learning for pattern analysis of cognitive processes 用于认知过程模式分析的功能网格学习

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622239

Orhan Firat, M. Ozay, Itir Önal, Ilke Öztekin, F. Yarman-Vural

{"title":"Functional Mesh Learning for pattern analysis of cognitive processes","authors":"Orhan Firat, M. Ozay, Itir Önal, Ilke Öztekin, F. Yarman-Vural","doi":"10.1109/ICCI-CC.2013.6622239","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622239","url":null,"abstract":"We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed learning machine, local meshes are formed around each voxel. The distance between voxels in the mesh is determined by using functional neighborhood concept. In order to define functional neighborhood, the similarities between the time series recorded for voxels are measured and functional connectivity matrices are constructed. Then, the local mesh for each voxel is formed by including the functionally closest neighboring voxels in the mesh. The relationship between the voxels within a mesh is estimated by using a linear regression model. These relationship vectors, called Functional Connectivity aware Local Relational Features (FC-LRF) are then used to train a statistical learning machine. The proposed method was tested on a recognition memory experiment, including data pertaining to encoding and retrieval of words belonging to ten different semantic categories. Two popular classifiers, namely k-Nearest Neighbor and Support Vector Machine, are trained in order to predict the semantic category of the item being retrieved, based on activation patterns during encoding. The classification performance of the Functional Mesh Learning model, which range in 62-68% is superior to the classical multi-voxel pattern analysis (MVPA) methods, which range in 40-48%, for ten semantic categories.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539582","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: 22

Novel multimodal template generation algorithm 一种新的多模态模板生成算法

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622228

Padma Polash Paul, M. Gavrilova

引用次数: 5

Design and implementation of automatic verification for PLC systems PLC系统自动验证的设计与实现

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622270

Mo Xia, Mian Sun, G. Luo, Xibin Zhao

引用次数: 4

Mining hierarchical temporal association rules in a publication database 在发布数据库中挖掘分层时态关联规则

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622291

Guo-Cheng Lan, T. Hong, Pei-Shan Wu, S. Tsumoto

引用次数: 6

Information fusion of CNVs and SNPs on gene-gene interactions for molecular subtypes of lymphoma 淋巴瘤分子亚型基因-基因相互作用的CNVs和SNPs信息融合

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622249

Tse-Yi Wang, Yen-Ho Chen, Kuang-Chi Chen

{"title":"Information fusion of CNVs and SNPs on gene-gene interactions for molecular subtypes of lymphoma","authors":"Tse-Yi Wang, Yen-Ho Chen, Kuang-Chi Chen","doi":"10.1109/ICCI-CC.2013.6622249","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622249","url":null,"abstract":"Although genome-wide association studies report many disease-associated loci involved in pathogenesis, current identified variants only explain a little part of the heritability underlying complex diseases. To explore the other missing part of heritability, data-mining methods are proposed and developed to detect disease-associated interactions between variants. Recently, some studies have revealed the linkage disequilibrium between chromosome structure variations and disease-associated loci. We are motivated to employ a fusion approach that incorporates the information of copy number variations (CNVs) for identifying interactions between single nucleotide polymorphisms (SNPs). The CNV profiles are first used for clustering analysis of disease subtypes, and then the SNP-SNP interactions are examined by the multifactor dimensionality reduction (MDR) method. We applied the fusion approach in analyzing 214 lymphoma cases. The results showed that the interactions identified by the fusion approach were more significantly associated with lymphoma than those identified only by MDR without incorporating CNV information. Therefore, we conclude that information fusion of CNVs and SNPs provides a proper strategy for detecting gene-gene interactions in disease association studies.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134076842","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

Design of a Symbiotic Sensor Network 一种共生传感器网络的设计

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622251

H. Hara

引用次数: 1

Automated Chinese-English translation scoring based on answer knowledge base 基于答案知识库的汉英翻译自动评分

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622264

Wei Wu, Li Li

引用次数: 3

Characterizing bipolar rating scales to investigate potency of eWOM messages involving attitude directionwithout its strength 采用双相评价量表的特征来研究不带强度的态度方向的eom信息的效力

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622257

K. Fujimoto

{"title":"Characterizing bipolar rating scales to investigate potency of eWOM messages involving attitude directionwithout its strength","authors":"K. Fujimoto","doi":"10.1109/ICCI-CC.2013.6622257","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622257","url":null,"abstract":"Electronic word-of-mouth (eWOM) is an important information source that influences consumer product evaluations. The author previously developed a computational model, called an inference space model, that predicts potency-magnitude relations of eWOM messages involving subjective rank expressions, which refer to the linguistic representations related to the attitude-levels of the benefits of product attributes. This paper mathematically investigates the potencymagnitude relations of message types differentiating the attitude direction and the strength. The investigations include the developments of a Q-magnitude Relation Map (Q-Map) which illustrates how the relations change based on the values of two parameters: evaluation target size and scale-size balancing indicator. The results show that three scale-classes of bipolar rating scales have a critical role in knowing how the relations change. Based on observations of the Q-Maps, unexplored hypotheses on the potency-magnitude relations are developed with respect to messages involving attitude direction without its strength.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906445","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

A biologically inspired computational model of Moral Decision Making for autonomous agents 自主主体道德决策的生物学启发计算模型

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI: 10.1109/ICCI-CC.2013.6622232

José-Antonio Cervantes, Luis-Felipe Rodríguez, Sonia López, Félix F. Ramos

{"title":"A biologically inspired computational model of Moral Decision Making for autonomous agents","authors":"José-Antonio Cervantes, Luis-Felipe Rodríguez, Sonia López, Félix F. Ramos","doi":"10.1109/ICCI-CC.2013.6622232","DOIUrl":"https://doi.org/10.1109/ICCI-CC.2013.6622232","url":null,"abstract":"In areas such as psychology and neuroscience a common approach to study human behavior has been the development of theoretical models of cognition. In fields such as artificial intelligence, these cognitive models are usually translated into computational implementations and incorporated into the architectures of intelligent autonomous agents (AAs). The main assumption is that this design approach contributes to the development of intelligent systems capable of displaying very believable and human-like behaviors. Decision Making is one of the most investigated and computationally implemented cognitive functions. The literature reports several computational models designed to allow AAs to make decisions that help achieve their personal goals and needs. However, most models disregard crucial aspects of human decision making such as other agents' needs, ethical values, and social norms. In this paper, we propose a biologically inspired computational model of Moral Decision Making (MDM). This model is designed to enable AAs to make decisions based on ethical and moral judgment. The simulation results demonstrate that the model helps to improve the believability of virtual agents when facing moral dilemmas.","PeriodicalId":130244,"journal":{"name":"2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131145819","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: 9