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Table of Contents
Contents; About the Editors; 1 Introduction; 1 ICARE-2016; 2 Poster Submission; 2.1 Review Process; 3 Watson Cognitive Challenge; 3.1 Rules; 4 Hackathon Challenge; 4.1 Rules; 4.2 Evaluation; Research Papers; Using Trusted Execution Environments to Enable Integrity of Offline Test Taking; 1 Introduction; 2 Problem Definition; 2.1 Threat Model; 2.2 Problem Statement; 3 Overview of Technologies Used; 3.1 ARM TrustZone; 3.2 OPTEE; 4 Design and Implementation; 4.1 Architecture and Security Analysis
4.2 Implementation5 Discussion; 6 Related Work; 7 Conclusion; References; ME2 : Movie Review Exploration Engine; 1 Introduction; 2 System Overview; 2.1 Movie Review Collection; 2.2 E3 Keyphrase Extractor; 2.3 Keyphrase Enrichment; 3 Dataset Collected; 4 Results and Discussions; 5 Summary; References; 4 Convex Model Databases
Solving Real-World OR Problems; 1 Introduction; 2 State of the Art; 3 Database Architecture; 4 Basic CMdB Operations; 5 Applications of CMdBs; 6 Comparison with RDBMS
7 ConclusionReferences; Vision System for Medicinal Plant Leaf Acquisition and Analysis; 1 Introduction; 2 Proposed Methodology; 2.1 Image Acquisition and Pre-processing; 2.2 Feature Extraction; 3 Experiments and Results; 3.1 Implementation; 3.2 Comparison with State of the art; 4 Discussions and Conclusions; References; On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 Architecture; 3.2 Regularization Using Gradient Noise
4 Experiments and Results4.1 Dataset; 4.2 Handling Class Imbalance; 4.3 Performance Metrics; 4.4 Data Augmentation; 4.5 Results; 5 Conclusions; References; 7 EffGenPerm: An Efficient and Fast Generalized Community Detection for Massive Complex Networks; 1 Introduction; 2 Our Contributions; 2.1 Drawbacks in Very Recent [1, 2, 3] Work; 3 Our Proposed Generalized Community Detection Algorithm; 4 Proposed Generalized Community Detection Algorithm; 5 Brief Explanation of Our Algorithm; 6 Experiment Analysis; 7 Conclusion
Hackathon Applications8 DearDiary
An IBM Watson Powered Mental Healthcare Tracker; 1 Introduction; 2 Architecture of the System; 2.1 Backend Overview
MEAN Stack; 2.2 App Overview
Android; 2.3 API Structure; 2.4 Sample Sentiment Analysis Results; 2.5 Screenshots; 3 Conclusions; 9 K9, for Things You Care About; 1 About; 2 Problems with the Existing System; 2.1 Old School Flyers; 2.2 Number of Pets; 3 Solution; 4 Faces of the Solution; 5 Using IBM WatsonTM API's; 5.1 IBM WatsonTM Visual Recognition API; 5.2 Alchemy API
4.2 Implementation5 Discussion; 6 Related Work; 7 Conclusion; References; ME2 : Movie Review Exploration Engine; 1 Introduction; 2 System Overview; 2.1 Movie Review Collection; 2.2 E3 Keyphrase Extractor; 2.3 Keyphrase Enrichment; 3 Dataset Collected; 4 Results and Discussions; 5 Summary; References; 4 Convex Model Databases
Solving Real-World OR Problems; 1 Introduction; 2 State of the Art; 3 Database Architecture; 4 Basic CMdB Operations; 5 Applications of CMdBs; 6 Comparison with RDBMS
7 ConclusionReferences; Vision System for Medicinal Plant Leaf Acquisition and Analysis; 1 Introduction; 2 Proposed Methodology; 2.1 Image Acquisition and Pre-processing; 2.2 Feature Extraction; 3 Experiments and Results; 3.1 Implementation; 3.2 Comparison with State of the art; 4 Discussions and Conclusions; References; On the Relevance of Very Deep Networks for Diabetic Retinopathy Diagnostics; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 Architecture; 3.2 Regularization Using Gradient Noise
4 Experiments and Results4.1 Dataset; 4.2 Handling Class Imbalance; 4.3 Performance Metrics; 4.4 Data Augmentation; 4.5 Results; 5 Conclusions; References; 7 EffGenPerm: An Efficient and Fast Generalized Community Detection for Massive Complex Networks; 1 Introduction; 2 Our Contributions; 2.1 Drawbacks in Very Recent [1, 2, 3] Work; 3 Our Proposed Generalized Community Detection Algorithm; 4 Proposed Generalized Community Detection Algorithm; 5 Brief Explanation of Our Algorithm; 6 Experiment Analysis; 7 Conclusion
Hackathon Applications8 DearDiary
An IBM Watson Powered Mental Healthcare Tracker; 1 Introduction; 2 Architecture of the System; 2.1 Backend Overview
MEAN Stack; 2.2 App Overview
Android; 2.3 API Structure; 2.4 Sample Sentiment Analysis Results; 2.5 Screenshots; 3 Conclusions; 9 K9, for Things You Care About; 1 About; 2 Problems with the Existing System; 2.1 Old School Flyers; 2.2 Number of Pets; 3 Solution; 4 Faces of the Solution; 5 Using IBM WatsonTM API's; 5.1 IBM WatsonTM Visual Recognition API; 5.2 Alchemy API