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检索条件"任意字段=6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015"

共 237 条记录，以下是81-90 订阅

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Formal evaluation of persona trustworthiness with EUSTACE (extended abstract)

Formal evaluation of persona trustworthiness with EUSTACE (e...

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6th international conference on Trust and Trustworthy Computing, TRUST 2013

作者： Faily, Shamal Power, David Armstrong, Philip Fléchais, Ivan Department of Computer Science University of Oxford Oxford OX1 3QD United Kingdom

ISBN: (纸本)9783642389078

Personas are useful for considering how users of a system might behave, but problematic when accounting for hidden behaviours not obvious from their descriptions alone. Formal methods can potentially identify such subtleties in interactive systems, but we lack methods for eliciting models from qualitative persona descriptions. We present a framework for eliciting and specifying formal models of persona behaviour that a persona might, in certain circumstances, engage in. We also summarise our preliminary work to date evaluating this framework. © 2013 Springer-Verlag.

关键词： Formal methods

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Application of Machine Learning and Large Language Model Module for Analyzing Gut Microbiota Data 20th

Application of Machine Learning and Large Language Model Mod...

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20th international conference on Intelligent Computing (ICIC)

作者： Cao, Jianhua Xu, Xiaoyu Zhang, Xiaomeng Tianjin Univ Sci & Technol Coll Artificial Intelligence Tianjin 300457 Peoples R China

ISBN: (纸本)9789819756889;9789819756896

In this paper, we aim to explore the applications of machine learning and large language model for analyzing gut microbiota data, particularly attempting to investigate large language model module to intelligently conduct data analysis just through prompts. the data of gut microbiota is from 16S rRNA sequencing result of obese mouse for obesity experimental research, and our primary task focus on identifying differentially expressed genes and uncovering biomarker microbiota associated with obesity. Statistical methods, including diversity analysis and principal component analysis, have been firstly conducted, revealing significant differences between experimental and control groups. then different machine learning algorithms including random forest, SVM-RFE, Lasso, and XGBoost have been selected to discover distinguished genes through feature importance ranking. Several types of microbial genes have been identified by both of the machine learning methods, and these biomarkers exhibit significant abundance changes between groups. Some of them have been confirmed with related research literature, and the remains are worthy of attention for more investigation. Furthermore, we have developed a large language model module named Chat2GM, which is based on the LangChain framework, python Flask, and API of OpenAI's GPT model, particularly for this data analysis task. Upon uploading the original microbiota data, data exploration and analysis can be conducted merely by using prompts. It has been demonstrated to achieve satisfactory performance in completing the aforementioned analysis tasks with precise natural language instructions, indicating that applications powered by large language models with more expertise knowledge have great potential in gut microbiota research field.

关键词： Gut microbiota Machine learning Large language models LangChain framework

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6th international conference on Computational Collective Intelligence, ICCCI 2014

6th International Conference on Computational Collective Int...

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6th international conference on Computational Collective Intelligence, ICCCI 2014

ISBN: (纸本)9783319112886

the proceedings contain 70 papers. the special focus in this conference is on Computational Collective Intelligence -- Technologies and Applications. the topics include: Agreement Technologies – Towards Sophisticated Software Agents;False Positives Reduction on Segmented Multiple Sclerosis Lesions Using Fuzzy Inference System by Incorporating Atlas Prior Anatomical Knowledge: A Conceptual Model;Fuzzy Splicing Systems;A Preference Weights Model for Prioritizing Software Requirements;Fuzzy Logic-Based Adaptive Communication Management on Wireless Network;Application of Self-adapting Genetic algorithms to Generate Fuzzy Systems for a Regression Problem;Analysis of Profile Convergence in Personalized Document Retrieval Systems;SciRecSys: A Recommendation System for Scientific Publication by Discovering Keyword Relationships;Grouping Like-Minded Users Based on Text and Sentiment Analysis;A Preferences Based Approach for Better Comprehension of User Information Needs;Sustainable Social Shopping System;Event Detection from Social Data Stream Based on Time-Frequency Analysis;Building Educational and Marketing models of Diffusion in Knowledge and Opinion Transmission;Semantic Model of Syllabus and Learning Ontology for Intelligent Learning System;Creating Collaborative Learning Groups in Intelligent Tutoring Systems;Method of Driver State Detection for Safety Vehicle by Means of Using Pattern Recognition;Motion Segmentation Using Optical Flow for Pedestrian Detection from Moving Vehicle;Articular Cartilage Defect Detection Based on Image Segmentation with Colour Mapping;Enhanced Face Preprocessing and Feature Extraction methods Robust to Illumination Variation.

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Biomedical Engineering Systems and Technologies: 7th international Joint conference, BIOSTEC 2014, Angers, France, March 3-6, 2014, Revised Selected

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2016年

作者： Guy Plantier Tanja Schultz Ana Luisa N Fred Hugo Gambôa

ISBN: (纸本)9783319261287

this book constitutes the thoroughly refereed post-conference proceedings of the 7th international Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, held in Angers, France, in March 2014. the 25 revised full papers presented were carefully reviewed and selected from a total of 362 submissions. the papers cover a wide range of topics and are organized in topical sections on biomedical electronics and devices; bioimaging; bioinformatics models, methods and algorithms; bio-inspired systems and signal processing; health informatics.

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2nd international conference on Future Data and Security Engineering, FDSE 2015 and 9th international conference on Advanced Computing and Applications ACOMP 2015

2nd International Conference on Future Data and Security Eng...

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2nd international conference on Future Data and Security Engineering, FDSE 2015 and 9th international conference on Advanced Computing and Applications ACOMP 2015

ISBN: (纸本)9783662541722

the proceedings contain 6 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: User-centered design of geographic interactive applications;applying data analytic techniques for fault detection;protecting biometrics using fuzzy extractor and non-invertible transformation methods in Kerberos authentication protocol;parallel learning of local SVM algorithms for classifying large datasets;contractual specifications of business services;modeling, formalization, proximity and energy-saving virtual machine scheduling in cloud computing with fixed interval constraints.

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Diagnosing PTSD Using Electronic Medical Records from Canadian Primary Care Data 19

Diagnosing PTSD Using Electronic Medical Records from Canadi...

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6th international conference on Networking, Systems and Security (NSysS)

作者： Kaczmarek, Emily Salgo, Alexander Zafari, Hasan Kosowan, Leanne Singer, Alexander Zulkernine, Farhana Queens Univ Sch Comp Kingston ON Canada Univ Manitoba Dept Family Med Coll Med Winnipeg MB Canada

ISBN: (纸本)9781450376990

Post-traumatic stress disorder (PTSD) can be a debilitating condition and early intervention can be instrumental in preventing patients' suffering. Identifying patients at risk for PTSD is challenging because of the limitations of the available data set, variations in the symptoms of PTSD for different patients, and misdiagnosis due to symptoms being shared with other conditions. In this preliminary study, we explore a small set of structured primary care data extracted from patients' electronic medical records (EMR) from Manitoba, Canada. this data has a small subset of PTSD positive cases, and is used to assess the feasibility of applying machine learning algorithms to diagnose PTSD. We developed three supervised machine learning models, a multilayered perceptron artificial neural network (ANN) model, a support vector machine (SVM), and a random forest classifier (RF) to identify PTSD patients using 890 patients' records. these methods obtained 0.79, 0.78, and 0.83 AUC respectively, which are better than all of the previous work that used EMR data having comparable size as our data. this study is geared towards understanding the primary care standard for PTSD patients in Canada in general and military-veteran population and developing a case definition for PTSD. this initial result demonstrates that an automated PTSD screening tool can be developed based on historical medical data for further study. In our ongoing work, we are exploring the providers' chart notes from the EMR data, which is unstructured text data, to improve the model accuracy and understand the progression of PTSD.

关键词： PTSD detection machine learning bioinformatics psychology artificial neural networks SVM random forests

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6th international Workshop on Statistical Atlases and Computational models of the Heart, STACOM 2015 held in conjunction with MICCAI, 2015

6th International Workshop on Statistical Atlases and Comput...

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6th international Workshop on Statistical Atlases and Computational models of the Heart, STACOM 2015

ISBN: (纸本)9783319287119

the proceedings contain 23 papers. the special focus in this conference is on Statistical Atlases and Computational models of the Heart. the topics include: Automated model-based left ventricle segmentation in cardiac MR images;motion-driven parcellation of the left ventricle;towards left ventricular scar localisation using local motion descriptors;traversed graph representation for sparse encoding of macro-reentrant tachycardia;prediction of infarct localization from myocardial deformation;parameterisation of multi-directional diffusion weighted magnetic resonance images of the heart;confidence measures for assessing the HARP algorithm in tagged magnetic resonance imaging;papillary muscle segmentation from a multi-atlas database;electrophysiology model for a human heart with ischemic scar and realistic purkinje network;patient metadata-constrained shape models for cardiac image segmentation;myocardial infarct localization using neighbourhood approximation forests;systo-diastolic LV shape analysis by geometric morphometrics and parallel transport highly discriminates myocardial infarction;statistical shape modeling using partial least squares and classification of myocardial infarcted patients by combining shape and motion features.

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6th international conference on Digital Human Modeling, DHM 2015 Held as Part of 17th international conference on Human-Computer Interaction, HCI international 2015

6th International Conference on Digital Human Modeling, DHM ...

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6th international conference on Digital Human Modeling, DHM 2015 Held as Part of 17th international conference on Human-Computer Interaction, HCI international 2015

ISBN: (纸本)9783319210698

the proceedings contain 58 papers. the special focus in this conference is on Anthropometry, Ergonomics, Motion Modeling, Tracking, Human Modeling in Transport and Human Modeling in Medicine. the topics include: Estimation of arbitrary human models from anthropometric dimensions;an approach for intuitive visualization of ergonomic issues;correlation analysis on the main and basic body dimension for Chinese adults;study on the body shape of middle-aged and old women for garment design;the role of virtual ergonomic simulation to develop innovative human centered products;experimental study on grip ergonomics of manual handling;moment analysis of virtual human joint based on jack;body tracking as a generative tool for experience design;real-time static gesture recognition for upper extremity rehabilitation using the leap motion;effect of care gesture on transfer care behavior in elderly nursing home in Japan;MOCAP-based adaptive human-like walking simulation in laser-scanned large-scale as-built environments;process analysis of the hand lay-up method using CFRP prepreg sheets;development of a 3d finite element model of the Chinese 50th male for the analysis of automotive impact;toward a model for effective human-automation interaction;semantically integrated human factors engineering;driving-behavior monitoring using an unmanned aircraft system;automatic identification of below-knee residuum anatomical zones;analyzing requirements using environment modelling and modeling of a virtual open platform for human cranium simulation.

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Blind 384-bit digital signature scheme

Blind 384-bit digital signature scheme

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6th international conference on Mathematical methods, models and Architectures for Computer Network Security, MMM-ACNS 2012

作者： Moldovyan, Alexandr Moldovyan, Nikolay Novikova, Evgenia 39 14th Liniya Saint-Petersburg Russia 39 14th Liniya Saint-Petersburg Russia

ISBN: (纸本)9783642337031

the blind digital signature protocols play important role in e-commerce applications. In this paper the new blind digital signature scheme with 384-bit signature length is proposed. the latter is achieved by using finite subgroup of the multiplicative group of the finite ring of residues modulo n, where n is a product of two large primes. It is shown that proposed signature satisfies unlinkability and unforgeability properties. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Authentication

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Analytical methods to investigate the effects of external influence on socio-cultural opinion evolution

Analytical methods to investigate the effects of external in...

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6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013

作者： Chakraborty, Subhadeep Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville TN United States

ISBN: (纸本)9783642372094

this paper extends the framework for merging sociologically inspired rational cognitive models of decision making with social media inspired feedback mechanisms. this model, with certain simplifying assumptions, is used to analyze the effects of external influence on the dynamics of opinion evolution in a fully connected society. the master equation is shown to have the form of the Fokker-Planck equation, and the necessary and sufficient conditions for a polynomial solution are investigated. It is proved that the parameters of the model guarantees the existence of a polynomial solution. © 2013 Springer-Verlag.

关键词： Fokker Planck equation

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