{ "item_title" : "Intelligent Data Engineering and Automated Learning - Ideal 2019", "item_author" : [" Hujun Yin", "David Camacho", "Peter Tino "], "item_description" : "Orchids Classification Using Spatial Transformer Network with Adaptive Scaling.- Scalable Dictionary Classifiers for Time Series Classification.- Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm.- Meaningful Data Sampling for a Faithful Local Explanation Method.- Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor.- Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks.- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion.- Modeling Data Driven Interactions on Property Graph.- Adaptive Dimensionality Adjustment for Online Principal Component Analysis.- Relevance Metric for Counterfactuals Selection in Decision Trees.- Weighted Nearest Centroid Neighbourhood.- The Prevalence of Errors in Machine Learning Experiments.- A Hybrid Model for Fraud Detection on Purchase Orders.- Users Intention based on Twitter Features using Text Analytics.- Mixing hetero- and homogeneous models in weighted ensembles.- A Hybrid Approach to Time Series Classification with Shapelets.- An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification.- A Data-driven Approach to Automatic Extraction of Professional Figure Profiles from R sum s.- Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis.- Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian.- Tracking Position and Status of Electric Control Switches Based on YOLO Detector.- A Self-Generating Prototype method based on Information Entropy used for Condensing Data in Classification Tasks.- Transfer Knowledge between Sub-regions for Traffic Prediction using Deep Learning Method.- Global Q-Learning Approach for Power Allocation in Femtocell Networks.- Deep learning and Sensor Fusion Methods for Studying Gait Changes under Cognitive Load in Males and Females.- Towards a robotic personal trainer for the elderly.- Image Quality Constrained GAN for Super-Resolution.- Use Case Prediction using Product Reviews Text Classification.- Convolutional Neural Network for Core Sections Identification in Scientific Research Publications.- Knowledge Inference Through Analysis of Human Activities.- Representation Learning of Knowledge Graphs with Multi-scale Capsule Network.- CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning.- A Multimodal Approach to Image Sentiment Analysis.- Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering.- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data.- Toward A Framework for Seasonal Time Series Forecasting Using Clustering.- An Evidential Imprecise Answer Aggregation Approach based on Worker Clustering.- Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network.- Adversarial Edit Attacks for Tree Data.- Non-stationary Noise Cancellation Using Deep Autoencoder based on Adversarial Learning.- A Deep Learning-based Surface Defect Inspection System for Smartphone Glass.- Superlinear Speedup of Parallel Population-based Metaheuristics: A Microservices and Container Virtualization Approach.- Active Dataset Generation for Meta-Learning System Quality Improvement.- Do You Really Follow Them? Automatic Detection of Credulous Twitter Users.- User Localization Based on Call Detail Record.- Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media.- Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment.- A Significantly Faster Elastic-Ensemble for Time-Series Classification.- ALIME: Autoencoder Based Approach for Local Interpretability.- Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis.- Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition.- An Ef", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/033/606/3030336069_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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