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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71-80 订阅

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Universal Access in Human-Computer Interaction: Context Diversity - 6th international conference, UAHCI 2011, Held as Part of HCI international 2011, Proceedings

Universal Access in Human-Computer Interaction: Context Dive...

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6th international conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI international 2011

ISBN: (纸本)9783642216657

the proceedings contain 246 papers. the topics discussed include: visual mediation mechanisms for collaborative design and development;design for the information society;classifying interaction methods to support intuitive interaction devices for creating user-centered-systems;evaluation of video game interfaces;standardizing user models;integral model of the area of reaches and forces of a disabled person with dysfunction of lower limbs as a tool in virtual assessment of manipulation possibilities in selected work environments;modeling the role of empathic design engaged personas: an emotional design approach;results of the technical validation of an accessible contact manager for mobile devices;developing accessible mobile phone applications: the case of a contact manager and real time text applications;a multitasking approach to adaptive spoken dialogue management;and from clouds to rain: consolidating and simplifying online communication services with easy one communicator.

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Universal Access in Human-Computer Interaction: Users Diversity - 6th international conference, UAHCI 2011, Held as Part of HCI international 2011, Proceedings

Universal Access in Human-Computer Interaction: Users Divers...

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6th international conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI international 2011

ISBN: (纸本)9783642216626

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Improving the Identification of Co-occurring Driver Pathways by Integrating Multi-Omics Data 22

Improving the Identification of Co-occurring Driver Pathways...

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22nd IEEE international conference on High Performance Computing and Communications, 18th IEEE international conference on Smart City and 6th IEEE international conference on Data Science and Systems, HPCC-SmartCity-DSS 2020

作者： Cai, Qirong Wu, Jingli Du, Rui Zhang, Zhen Pan, Ke Beijing Institute of Technology College of Computer Science Zhuhai China Guangxi Normal University Guangxi Key Lab of Multi-source Information Mining Security Guilin China Guangxi Normal University College of Computer Science and Information Technology Guilin China

ISBN: (纸本)9781728176499

It is widely accepted that driver pathways offer important information for precision and personalized medicine of cancer treatment, hence the problems of driver pathways identification have become a research hotspot in bioinformatics. In this paper, an improved collaborative mutation driver pathways model ICMDP is proposed by integrating the somatic mutation, copy number variation and gene expression data. the model has two characteristics:(1) each individual pathway has moderate mutual exclusion and high coverage;(2) collaborative driver pathways exhibit significant common mutations in cancer samples, and the genes in collaborative driver pathways are related. Meanwhile, a parthenogenetic algorithm PA-ICMDP is proposed for solving the ICMDP model. Experiments were performed to compare algorithms PA-ICMDP, CoMDP and GAMTOC by using real biological data sets, i.e., the samples of glioblastoma and ovarian. the experimental results indicate that the PA-ICMDP algorithm can not only identify important collaborative driver pathways with higher co-occurrence mutation rates, but also detect more important driver genes such as MET, MDM2, GAB2, TERT, TBX3 and so on. In addition, the EICMDP model and the PA-EICMDP algorithm are put forward by extending the ICMDP model and the PAICMDP algorithm respectively. they can effectively identify other important pathways that collaborate with known driver pathways. the experimental results indicate that the methods presented in this paper may become suitable tools for mining driver genes and driver pathways related to cancer development. © 2020 IEEE.

关键词： bioinformatics

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Universal Access in Human-Computer Interaction: Applications and Services - 6th international conference, UAHCI 2011, Held as Part of HCI international 2011, Proceedings

Universal Access in Human-Computer Interaction: Applications...

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6th international conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI international 2011

ISBN: (纸本)9783642216565

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Exploring Recurrent Neural Network models for Depression Detection through Facial Expressions: A Systematic Literature Review 6

Exploring Recurrent Neural Network Models for Depression Det...

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6th international conference on Computer and Informatics Engineering, IC2IE 2023

作者： Rumahorbo, Brilyan Nathanael Pardamean, Bens Elwirehardja, Gregorius Natanael Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Bioinformatics and Data Science Research Center Jakarta11480 Indonesia

ISBN: (纸本)9798350345162

Major Depressive Disorder (MDD) is a prevalent mental disorder, affecting a significant number of individuals, with estimates reaching 300 million cases worldwide. Currently, the diagnosis of this condition relies heavily on subjective assessments based on the experience of medical professionals. therefore, researchers have turned to deep learning models to explore the detection of depression. the objective of this review is to gather information on detecting depression based on facial expressions in videos using deep learning techniques. Overall, this research found that RNN models achieved 7.22 MAE for AVEC2014. LSTM models produced 4.83 MAE for DAIC-WOZ, while GRU models achieved an accuracy of 89.77% for DAIC-WOZ. Features like Facial Action Units (FAU), eye gaze, and landmarks show great potential and need to be further analyzed to improve results. Analysis can include applying feature engineering techniques. Aggregation methods, such as mean calculation, are recommended as effective approaches for data processing. this Systematic Literature Review found that facial expressions do have relevant patterns related to MDD. © 2023 IEEE.

关键词： deep learning facial expression GRU LSTM major depressive disorder

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6th international conference on Statistical Language and Speech Processing, SLSP 2018

6th International Conference on Statistical Language and Spe...

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6th international conference on Statistical Language and Speech Processing, SLSP 2018

ISBN: (纸本)9783030008093

the proceedings contain 16 papers. the special focus in this conference is on Statistical Language and Speech Processing. the topics include: Movie genre detection using topological data analysis;low-resource text classification using domain-adversarial learning;handling ellipsis in a spoken medical phraselator;knowledge transfer for active learning in textual anonymisation;studying the effects of text preprocessing and ensemble methods on sentiment analysis of brazilian portuguese tweets;text documents encoding through images for authorship attribution;DNN-based speech synthesis for arabic: Modelling and evaluation;phone-level embeddings for unit selection speech synthesis;disfluency insertion for spontaneous tts: Formalization and proof of concept;forced alignment of the phonologie du français contemporain corpus;a syllable structure approach to spoken language recognition;investigating a hybrid learning approach for robust automatic speech recognition;a comparison of adaptation techniques and recurrent neural network architectures;restoring punctuation and capitalization using transformer models.

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Consensus-based prediction of RNA and DNA binding residues from protein sequences 6th

Consensus-based prediction of RNA and DNA binding residues f...

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6th international conference on Pattern Recognition and Machine Intelligence, PReMI 2015

作者： Yan, Jing Kurgan, Lukasz Electrical and Computer Engineering University of Alberta EdmontonT6G 2V4 Canada

Computational prediction of RNA- and DNA-binding residues from protein sequences offers a high-throughput and accurate solution to functionally annotate the avalanche of the protein sequence data. Although many predictors exist, the efforts to improve predictive performance with the use of consensus methods are so far limited. We explore and empirically compare a comprehensive set of different designs of consensuses including simple approaches that combine binary predictions and more sophisticated machine learning models. We consider both DNA- and RNA-binding motivated by similarities in these interactions, which should lead to similar conclusions. We observe that the simple consensuses do not provide improved predictive performance when applied to sequences that share low similarity with the datasets used to build their input predictors. However, use of machine learning models, such as linear regression, Support Vector Machine and Naïve Bayes, results in improved predictive performance when compared with the best individual predictors for the prediction of DNA- and RNA-binding residues. © Springer international Publishing Switzerland 2015.

关键词： Forecasting

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methods for control over learning individual trajectory 6

Methods for control over learning individual trajectory

引用

6th international Scientific Practical conference on Innovative Technologies and Economics in Engineering

作者： Mitsel, A. A. Cherniaeva, N. V. Tomsk Polytech Univ Yurga Inst Technol Engn Sci Yurga Kemerovo Region Russia Tomsk Polytech Univ Yurga Kemerovo Region Russia

the article discusses models, methods and algorithms of determining student's optimal individual educational trajectory. A new method of controlling the learning trajectory has been developed as a dynamic model of... 详细信息

关键词： Trajectories

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Multiphase segmentation based on implicit active shape models

Multiphase segmentation based on implicit active shape model...

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6th international conference on Image Analysis and Recognition, ICIAR 2009

作者： Fuzhen, Huang Xingxing, She Departmen of Automation Shanghai University of Electric Power Shanghai 200090 China

ISBN: (纸本)3642026109

Level set based approaches are widely used for image segmentation. One of the challenges in these methods is the incorporation of prior knowledge on the shape of the segmentation contour. In this paper a level set variant of active shape models is presented to provide shape prior. By incorporating this shape prior with Chan-Vese model, the improved level set model can account for prior shape knowledge quite efficiently and is used for multiphase segmentation. Promising results on multiple face contour extraction demonstrate the potential of our approach. © 2009 Springer Berlin Heidelberg.

关键词： Image segmentation

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6th IFIP WG 6.1 international conference on Formal methods for Open Object-Based Distributed Systems, FMOODS 2003

引用

6th IFIP WG 6.1 international conference on Formal methods for Open Object-Based Distributed Systems, FMOODS 2003

ISBN: (纸本)3540204911

the proceedings contain 19 papers. the special focus in this conference is on models, Logic and Verification. the topics include: Towards object-oriented graphs and grammars;rewriting based model for probabilistic distributed object systems;engineering the sdl formal language definition;a syntax-directed hoare logic for object-oriented programming concepts;inheritance of temporal logic properties;temporal logic based static analysis for non-uniform behaviours;operational semantics and type system;a calculus for long-running transactions;formal analysis of some timed security properties in wireless protocols;inductive proof outlines for monitors in java;managing the evolution of .NET programs;on mobility extensions of UML statecharts;new operators for the turtle real-time UML profile;checking consistency in UML diagrams;compositional verification using CADP of the scalagent deployment protocol for software components;verification of distributed object-based systems and design and verification of distributed multi-media systems.

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