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KI 2016: Advances in Artificial Intelligence

Overview of attention for book
Cover of 'KI 2016: Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Providing Built-In Counters in a Declarative Dynamic Programming Environment
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    Chapter 2 Model Based Augmentation and Testing of an Annotated Hand Pose Dataset
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    Chapter 3 Lifted Junction Tree Algorithm
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    Chapter 4 Improved Diversity in Nested Rollout Policy Adaptation
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    Chapter 5 A Fast Elimination Method for Pruning in POMDPs
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    Chapter 6 A Neural Field Approach to Obstacle Avoidance
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    Chapter 7 Influence of ASP Language Constructs on the Performance of State-of-the-Art Solvers
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    Chapter 8 A Robotic Home Assistant with Memory Aid Functionality
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    Chapter 9 Using Ontological Knowledge About Active Pharmaceutical Ingredients for a Decision Support System in Medical Cancer Therapy
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    Chapter 10 Solving Negotiation Problems Against Unknown Opponents with Wisdom of Crowds
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    Chapter 11 Declarative Decomposition and Dispatching for Large-Scale Job-Shop Scheduling
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    Chapter 12 A Multi-Objective Approach for both Makespan- and Energy-Efficient Scheduling in Injection Molding
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    Chapter 13 Learning Event Time Series for the Automated Quality Control of Videos
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    Chapter 14 Solving the Physical Vehicle Routing Problem for Improved Multi-robot Freespace Navigation
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    Chapter 15 Trending Topic Aggregation by News-Based Context Modeling
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    Chapter 16 Image-Based Identification of Plant Species Using a Model-Free Approach and Active Learning
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    Chapter 17 Using a Deep Understanding of Network Activities for Workflow Mining
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    Chapter 18 Using Modelica Programs for Deriving Propositional Horn Clause Abduction Problems
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    Chapter 19 Symbolic Robot Commanding Utilizing Physical Properties - System Overview
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    Chapter 20 Personalization of Gaze Direction Estimation with Deep Learning
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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6 Dimensions

Readers on

mendeley
38 Mendeley
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Title
KI 2016: Advances in Artificial Intelligence
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46073-4
ISBNs
978-3-31-946072-7, 978-3-31-946073-4
Editors

Gerhard Friedrich, Malte Helmert, Franz Wotawa

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 3 8%
Student > Postgraduate 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 1 3%
Unknown 16 42%
Readers by discipline Count As %
Computer Science 14 37%
Engineering 8 21%
Unknown 16 42%
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 02 October 2020.
All research outputs
#15,707,268
of 23,340,595 outputs
Outputs from Lecture notes in computer science
#4,676
of 8,160 outputs
Outputs of similar age
#233,808
of 396,192 outputs
Outputs of similar age from Lecture notes in computer science
#383
of 581 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 396,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.