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ACM international conference Proceeding Series

ACM International Conference Proceeding Series

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8th Balkan conference in Informatics, BCI 2017

ISBN: (纸本)9781450352857

the proceedings contain 29 papers. the topics discussed include: machine learning-based approach to automatic POS tagging of Macedonian language;a novel model for measuring component-based system agility;information retrieval with reinforced word classes;towards dynamic cross-platform component-driven applications with girders elements framework;a time-critical mobile application based on ECG medical monitoring;reasons for and benefits of teaching internet of things basics in the eve of the 4th industrial revolution;a systematic mapping study of computer vision approaches based on deep learning and neural network;extended Tuple constraint type in relational and xml data model - definition and enforcement;structured component and connector communication;Albanian dynamic dactyls recognition using Kinect technology and DTW;using lexical resources for irony and sarcasm classification;extracting text keywords using WordNet;the invalidity of validating emotional multi-agent systems simulations;the new era of AI will revolutionize our wellness;proposed architecture to manage critical states predictions in IoT applications;a survey on access control mechanisms in e-commerce environments;and stimulating intellectual activity with adaptive environment (SMILE).

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learning through Utility Optimization in Regression Tasks 4

Learning Through Utility Optimization in Regression Tasks

引用

4th IEEE / ACM / ASA international conference on Data Science and Advanced Analytics (DSAA)

作者： Branco, Paula Torgo, Luis Ribeiro, Rita P. Frank, Eibe Pfahringer, Bernhard Rau, Markus Michael Univ Porto Fac Ciencias DCC LIAAD INESC TEC Porto Portugal Univ Waikato Dept Comp Sci Hamilton New Zealand Univ Auckland Dept Comp Sci Auckland New Zealand Ludwig Maximilians Univ Munchen Max Planck Inst Extraterr Phys Munich Germany

ISBN: (纸本)9781509050048

Accounting for misclassification costs is important in many practical applications of machine learning, and cost sensitive techniques for classification have been studied extensively. Utility-based learning provides a generalization of purely cost-based approaches that considers both costs and benefits, enabling application to domains with complex cost-benefit settings. However, there is little work on utility- or cost-based learning for regression. In this paper, we formally define the problem of utility-based regression and propose a strategy for maximizing the utility of regression models. We verify our findings in a large set of experiments that show the advantage of our proposal in a diverse set of domains, learning algorithms and cost/benefit settings.

关键词： Predictive models Electronic mail Measurement Surface treatment Optimization computer science

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Who Changed You? Obfuscator Identification for Android 4

Who Changed You? Obfuscator Identification for Android

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4th IEEE/ACM international conference on Mobile Software Engineering and Systems, MOBILESoft 2017

作者： Wang, Yan Rountev, Atanas Ohio State University ColumbusOH United States

ISBN: (纸本)9781538626696

Android developers commonly use app obfuscation to secure their apps and intellectual property. Although obfuscation provides protection, it presents an obstacle for a number of legitimate program analyses such as detection of app cloning and repackaging, malware detection, identification of third-party libraries, provenance analysis for digital forensics, and reverse engineering for test generation and performance analysis. If the obfuscator used to create an app can be identified, and if some details of the obfuscation process can be inferred, subsequent analyses can exploit this knowledge. thus, it is desirable to be able to automatically analyze a given app and determine (1) whether it was obfuscated, (2) which obfuscator was used, and (3) how the obfuscator was configured. We have developed novel techniques to identify the obfuscator of an Android app for several widely-used obfuscation tools and for a number of their configuration options. We define the obfuscator identification problem and propose a solution based on machine learning. To the best of our knowledge, this is the first work to formulate and solve this problem. We identify a feature vector that represents the characteristics of the obfuscated code. We then implement a tool that extracts this feature vector from Dalvik bytecode and uses it to identify the obfuscator provenance information. We evaluate the proposed approach on real-world Android apps obfuscated with different obfuscators, under several configurations. Our experiments indicate that the approach identifies the obfuscator with about 97% accuracy and recognizes the configuration with more than 90% accuracy. © 2017 IEEE.

关键词： application programs

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Combinatorial Transformation of learning Outcomes in the Affective & Cognitive Domain for its Impact on Students learning, Performance, Relationships and Behavior 8

Combinatorial Transformation of Learning Outcomes in the Aff...

引用

8th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2017

作者： Lakshmi, S. Nawas, G.M. Kadhar Department of Master of Computer Application Sona College of Technology Salem India

ISBN: (纸本)9781509010622

this exploratory research is an attempt to unveil the impact of the learning outcomes of a particular course on the student's attitude, behavior and performance skills. the objective and outcome of a curriculum or a course is always student centric, which is meant to escalate or map his skill set and technological knowhow onto a new dimension. the affirmative part of this work is that it is an attempt to discuss the various ways of defining the learning outcomes in such way to reflect their transformative dimensions on the adult's performance and the behavioral aspects i.e. in precise a combinatorial transformation both on the cognitive and affective domain. Initially the various techniques on defining the learning outcome by different institutions is discussed then a combinatorial transformation of these techniques for an effective and efficient implementation is discussed. © 2016 IEEE.

关键词： Students

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4th international Workshop on computer Assisted and Robotic Endoscopy, CARE 2017 and 6th international Workshop on Clinical Image-Based Procedures, CLIP 2017 held in Conjunction with 20th international conference on Medical Image Computing and computer Assisted Intervention, MICCAI 2017

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4th international Workshop on computer Assisted and Robotic Endoscopy, CARE 2017 and 6th international Workshop on Clinical Image-Based Procedures, CLIP 2017 held in Conjunction with 20th international conference on Medical Image Computing and computer Assisted Intervention, MICCAI 2017

ISBN: (纸本)9783319675428

the proceedings contain 17 papers. the special focus in this conference is on computer Assisted and Robotic Endoscopy. the topics include: Shape-Based pose estimation of robotic surgical instruments;3D endoscope system using asynchronously blinking grid pattern projection for HDR image synthesis;towards real-time polyp detection in colonoscopy videos;progressive hand-eye calibration for laparoscopic surgery navigation;learning camera pose from optical colonoscopy frames through deep convolutional neural network (CNN);motion vector for outlier elimination in feature matching and its application in SLAM based laparoscopic tracking;image-based smoke detection in laparoscopic videos;fully automatic detection of distal radius fractures from posteroanterior and lateral radiographs;automated characterization of pyelocalyceal anatomy using CT urograms to aid in management of kidney stones;local phase-based learning for needle detection and localization in 3D ultrasound;intracranial volume quantification from 3D photography;automatic near real-time evaluation of 3D ultrasound scan adequacy for developmental dysplasia of the hip;automatic sentinel lymph node localization in head and neck cancer using a coupled shape model algorithm;towards an automated segmentation of the ventro-intermediate thalamic nucleus;classification of confocal endomicroscopy patterns for diagnosis of lung cancer;automated classification for breast cancer histopathology images and hybrid tracking for improved registration of laparoscopic ultrasound and laparoscopic video for augmented reality.

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proceedings - 2017 4th international conference on Mathematics and computers in Sciences and in Industry, MCSI 2017

Proceedings - 2017 4th International Conference on Mathemati...

引用

4th international conference on Mathematics and computers in Sciences and in Industry, MCSI 2017

ISBN: (纸本)9781538628201

the proceedings contain 64 papers. the topics discussed include: potential of epidemiological imaging for image analysis and visualization applications: a brief review;expression recognition using sparse selection of log-Gabor facial features;DeepMBS: prediction of protein metal binding-site using deep learning networks;competition of motor controllers using a simplified robot leg: PID vs fuzzy logic;generator model extension for higher accuracy simulation of power system transients in OpenModelica;complex software system for data management and analysis of power distribution grids;optimization of neural network parameters using Taguchi robust design: application in plasma arc cutting process;experiments and modelling of explosive mixture formation in a closed space as a result of flammable gas leak;efficient location-aware scheduling of maintenance tasks in shop floors;assurance case for green IT applications: proof of compliance with power consumption claims;determining traffic levels in cities using Google Maps;from game to guidance: the innovative evaluation approach of the P4G simulation business game;the CICT IOU reference framework for stronger AMS system simulation in science and industry;efficiency investigation of BoF, SVT and pyramid match algorithms in practical recognition applications;local fractional operator on quadratic Riccati differential equation with variable coefficients;acceleration of grammatical evolution with multiple chromosome by using stochastic schemata exploiter;dual decomposition methods for nonlinear resource allocation problems in telecommunication networks;and adaptive sampling technique for computer network traffic parameters using a combination of fuzzy system and regression model.

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4th international KES conference on Smart Education and Smart e-learning, SEEL 2017

4th International KES conference on Smart Education and Smar...

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4th international KES conference on Smart Education and Smart e-learning, SEEL 2017

ISBN: (纸本)9783319594507

the proceedings contain 48 papers. the special focus in this conference is on Smart Education and Smart e-learning. the topics include: Smart pedagogy for smart universities;information channel based measure of effectiveness of computer-assisted assessment in flipped classroom;efforts for upward spirals based on both teacher and student feedback on smart education;a serious game to promote environmental attitude;the development of the critical thinking as strategy for transforming a traditional university into a smart university;RLCP-compatible virtual laboratories with 3D-models and demonstration mode: development and application in e-learning;remote laboratory environments for smart e-learning;an automata model for an adaptive course development;algorithm of contextual information formation for smart learning object;information technologies in musical and art education of children;a SPOC produced by sophomores for their junior counterparts;an outcome-based framework for developing learning trajectories;a simple MVC-framework for local management of online course material;multi-agent smart-system of distance learning for people with vision disabilities;use of smart technologies in the e-learning course project management;approaches to the description of model massive open online course based on the cloud platform in the educational environment of the university;a half-duplex dual-lingual video chat to enhance simultaneous second language speaking skill;a recommender system for supporting students in programming online judges;eye tracking technology for assessment of electronic hybrid text perception by students and motivation of students and young scientists in robotics.

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machine learning application to human brain network studies: A kernel approach 1

引用

6th international conference on Network Analysis, NET 2016

作者： Kurmukov, Anvar Dodonova, Yulia Zhukov, Leonid E. National Research University Higher School of Economics Moscow Russia

ISBN: (数字)9783319568294

ISBN: (纸本)9783319568287

We consider a task of predicting normal and pathological phenotypes from macroscale human brain networks. these networks (connectomes) represent aggregated neural pathways between brain regions. We point to properties of connectomes that make them different from graphs arising in other application areas of network science. We discuss how machine learning can be organized on brain networks and focus on kernel classification methods. We describe different kernels on brain networks, including those that use information about similarity in spectral distributions of brain graphs and distances between optimal partitions of connectomes. We compare performance of the reviewed kernels in tasks of classifying autism spectrum disorder versus typical development and carriers versus noncarriers of an allele associated with an increased risk of Alzheimer’s disease. © Springer international Publishing AG 2017.

关键词： computer aided instruction

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proceedings of 2017 international conference on Data and Software Engineering, ICoDSE 2017

Proceedings of 2017 International Conference on Data and Sof...

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4th international conference on Data and Software Engineering, ICoDSE 2017

ISBN: (纸本)9781538614495

the proceedings contain 55 papers. the topics discussed include: a classification of sequential patterns for numerical and time series multiple source data - a preliminary application on extreme weather prediction;a statistical and rule-based spelling and grammar checker for Indonesian text;anomaly detection using random forest: a performance revisited;an extensible tool for spatial clustering;aspect-sentiment classification in opinion mining using the combination of rule-based and machine learning;cells identification of acute myeloid leukemia AML M0 and AML M1 using k-nearest neighbour based on morphological images;classification and clustering to identify spoken dialects in Indonesian;comparison of optimal path finding techniques for minimal diagnosis in mapping repair;spatio-temporal mining to identify potential traffic congestion based on transportation mode;enhancing clustering quality of fuzzy geographically weighted clustering using ant colony optimization;graph clustering using Dirichlet process mixture model;and imputation of missing value using dynamic Bayesian network for multivariate time series data.

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4th international conference on Augmented Reality, Virtual Reality and computer Graphics, SALENTO AVR 2017

4th International Conference on Augmented Reality, Virtual R...

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4th international conference on Augmented Reality, Virtual Reality, and computer Graphics, AVR 2017

ISBN: (纸本)9783319609270

the proceedings contain 78 papers. the special focus in this conference is on Augmented Reality, Virtual Reality and computer Graphics. the topics include: Augmented robotics for electronic wheelchair to enhance mobility in domestic environment;teaching materials using AR and VR for learning the usage of oscilloscope;an augmented reality system for maxillo-facial surgery;augmented reality and MYO for a touchless interaction with virtual organs;architecture of a virtual reality and semantics-based framework for the return to work of wheelchair users;virtual environments for cognitive and physical training in elderly with mild cognitive impairment;virtual system for upper limbs rehabilitation in children;natural user interface to assess social skills in autistic population;rrt-based path planning for virtual bronchoscopy simulator;assistance system for rehabilitation and valuation of motor skills;robotic applications in virtual environments for children with autism;realism in audiovisual stimuli for phobias treatments through virtual environments;virtual out-of-body experience as a potential therapeutic tool after kidney transplantation;patient specific virtual and physical simulation platform for surgical robot movability evaluation in single-access robot assisted minimally-invasive cardiothoracic surgery;a tailored serious game for preventing falls of the elderly;finger recognition as interaction media in augmented reality for historical buildings in matsum and kesawan regions of Medan city;an innovative real-time mobile augmented reality application in arts and photogrammetric approaches for the virtual reconstruction of damaged historical remains.

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