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Advances in Artificial Intelligence

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Cover of 'Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy
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    Chapter 2 De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency
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    Chapter 3 A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits
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    Chapter 4 Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-deterministic Planning
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    Chapter 5 Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines
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    Chapter 6 Advice-Based Exploration in Model-Based Reinforcement Learning
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    Chapter 7 Deep Super Learner: A Deep Ensemble for Classification Problems
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    Chapter 8 One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
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    Chapter 9 MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning
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    Chapter 10 Reranking Candidate Lists for Improved Lexical Induction
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    Chapter 11 Analysis of Social Media Posts for Early Detection of Mental Health Conditions
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    Chapter 12 Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal
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    Chapter 13 Mobile App for Detection of Counterfeit Banknotes
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    Chapter 14 A Multiagent Framework for Understanding Addiction
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    Chapter 15 Infusing Domain Knowledge to Improve the Detection of Alzheimer’s Disease from Everyday Motion Behaviour
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    Chapter 16 An Incremental Machine Learning Algorithm for Nuclear Forensics
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    Chapter 17 MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models
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    Chapter 18 Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints
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    Chapter 19 Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding
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    Chapter 20 Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization
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    Chapter 21 Learning Belief Revision Operators
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    Chapter 22 Solving Constraint Satisfaction Problems Using Firefly Algorithms
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    Chapter 23 An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem
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    Chapter 24 Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
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    Chapter 25 Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations
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    Chapter 26 Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-Based Regularized Linear Classification Model
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    Chapter 27 Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming
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    Chapter 28 Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings
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    Chapter 29 Text-Based Detection of Unauthorized Users of Social Media Accounts
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    Chapter 30 N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks
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    Chapter 31 Matching Résumés to Job Descriptions with Stacked Models
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    Chapter 32 Towards a Comprehensive Evaluation of Recommenders: A Cognition-Based Approach
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    Chapter 33 A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis
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    Chapter 34 Topic Detection and Document Similarity on Financial News
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    Chapter 35 Software Defect Prediction from Code Quality Measurements via Machine Learning
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    Chapter 36 Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning
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    Chapter 37 Estimating Vineyard Grape Yield from Images
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    Chapter 38 Real-Time Deep Learning Pedestrians Classification on a Micro-Controller
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    Chapter 39 A Unified Evaluation Framework for Recommenders
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    Chapter 40 Early Detection of Alzheimer’s Disease Using Deep Learning
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    Chapter 41 Learning with Prior Domain Knowledge and Insufficient Annotated Data
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    Chapter 42 Predicting Crime Using Spatial Features
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    Chapter 43 A Tool for Defining and Simulating Storage Strategies on the Smart Grid
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    Chapter 44 Decision Assist for Self-driving Cars
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    Chapter 45 Rule Mining and Prediction Using the Flek Machine – A New Machine Learning Engine
Attention for Chapter 24: Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
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Chapter title
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal
Chapter number 24
Book title
Advances in Artificial Intelligence
Published in
arXiv, May 2018
DOI 10.1007/978-3-319-89656-4_24
Book ISBNs
978-3-31-989655-7, 978-3-31-989656-4

Mohammad Etemad, Amilcar Soares Junior, Stan Matwin, Amílcar Soares Júnior, Etemad, Mohammad, Soares Júnior, Amílcar, Matwin, Stan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 8 20%
Researcher 4 10%
Lecturer 4 10%
Student > Bachelor 2 5%
Other 5 13%
Unknown 6 15%
Readers by discipline Count As %
Computer Science 20 50%
Engineering 8 20%
Decision Sciences 1 3%
Mathematics 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2018.
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