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AI 2019: Advances in Artificial Intelligence

Overview of attention for book
Cover of 'AI 2019: Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Application of AlphaZero to Wargaming
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    Chapter 2 Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning
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    Chapter 3 Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat
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    Chapter 4 Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games
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    Chapter 5 An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation
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    Chapter 6 Memory-Based Explainable Reinforcement Learning
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    Chapter 7 Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning
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    Chapter 8 Exploring Unknown Universes in Probabilistic Relational Models
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    Chapter 9 Efficient Multiple Query Answering in Switched Probabilistic Relational Models
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    Chapter 10 Finding ALL Answers to OBDA Queries Using Referring Expressions
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    Chapter 11 Constructing CP-Nets from Users Past Selection
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    Chapter 12 An Efficient Solver for Parametrized Difference Revision
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    Chapter 13 Answering Why-Questions Using Probabilistic Logic Programming
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    Chapter 14 DINE: A Framework for Deep Incomplete Network Embedding
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    Chapter 15 Predictive Representation Learning in Motif-Based Graph Networks
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    Chapter 16 Online K-Means Clustering with Lightweight Coresets
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    Chapter 17 Solving Safety Problems with Ensemble Reinforcement Learning
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    Chapter 18 Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning
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    Chapter 19 Predicting Financial Well-Being Using Observable Features and Gradient Boosting
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    Chapter 20 Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching
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    Chapter 21 Evaluating the Boundaries of Big Data Environments for Machine Learning
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    Chapter 22 Sequence-to-Sequence Imputation of Missing Sensor Data
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    Chapter 23 The Futility of Bias-Free Learning and Search
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    Chapter 24 WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas
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    Chapter 25 Detecting Depression in Dyadic Conversations with Multimodal Narratives and Visualizations
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    Chapter 26 An Explainable Intelligence Model for Security Event Analysis
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    Chapter 27 Using Feature Filtering Metrics as Meta-dimensions in Constructing Distributional Representations
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    Chapter 28 The Thin Line Between Hate and Profanity
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    Chapter 29 To Extend or Not to Extend? Context-Specific Corpus Enrichment
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    Chapter 30 A Machine Learning Benchmark with Meaning: Learnability and Verb Semantics
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    Chapter 31 Hybrid Words Representation for Airlines Sentiment Analysis
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    Chapter 32 Analyzing the Variation Property of Contextualized Word Representations
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    Chapter 33 Feature Importance for Biomedical Named Entity Recognition
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    Chapter 34 Frequent Semantic Patterns for Document Relevance Ranking
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    Chapter 35 Optimising Pump Scheduling for Water Distribution Networks
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    Chapter 36 Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm
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    Chapter 37 Bayesian Optimisation for Objective Functions with Varying Smoothness
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    Chapter 38 Bayesian Optimization with Discrete Variables
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    Chapter 39 Detection of Compromised Models Using Bayesian Optimization
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    Chapter 40 Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation
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    Chapter 41 Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms
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    Chapter 42 Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data
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    Chapter 43 Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling
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    Chapter 44 A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem
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    Chapter 45 Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation
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    Chapter 46 LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation
  48. Altmetric Badge
    Chapter 47 Semi-supervised Learning Using Siamese Networks
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    Chapter 48 Intrinsically Motivated Active Perception for Multi-areas View Tasks
Attention for Chapter 22: Sequence-to-Sequence Imputation of Missing Sensor Data
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Chapter title
Sequence-to-Sequence Imputation of Missing Sensor Data
Chapter number 22
Book title
AI 2019: Advances in Artificial Intelligence
Published in
arXiv, November 2019
DOI 10.1007/978-3-030-35288-2_22
Book ISBNs
978-3-03-035287-5, 978-3-03-035288-2
Authors

Joel Janek Dabrowski, Ashfaqur Rahman, Dabrowski, Joel Janek, Rahman, Ashfaqur

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Student > Master 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 3 21%
Agricultural and Biological Sciences 1 7%
Earth and Planetary Sciences 1 7%
Environmental Science 1 7%
Other 0 0%
Unknown 4 29%
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 26 February 2020.
All research outputs
#16,364,030
of 24,093,053 outputs
Outputs from arXiv
#398,593
of 1,020,419 outputs
Outputs of similar age
#283,309
of 465,382 outputs
Outputs of similar age from arXiv
#11,848
of 28,481 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 465,382 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,481 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.