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Progress in Artificial Intelligence

Overview of attention for book
Progress in Artificial Intelligence
Springer Nature Switzerland

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School
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    Chapter 2 Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People’s Eyes
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    Chapter 3 Design and Development of Ontology for AI-Based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients
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    Chapter 4 A System for Animal Health Monitoring and Emotions Detection
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    Chapter 5 A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
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    Chapter 6 A Maturity Model for Industries and Organizations of All Types to Adopt Responsible AI—Preliminary Results
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    Chapter 7 Completeness of Datasets Documentation on ML/AI Repositories: An Empirical Investigation
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    Chapter 8 Navigating the Landscape of AI Ethics and Responsibility
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    Chapter 9 Towards Interpretability in Fintech Applications via Knowledge Augmentation
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    Chapter 10 Revisiting Deep Attention Recurrent Networks
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    Chapter 11 Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning
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    Chapter 12 DyPrune: Dynamic Pruning Rates for Neural Networks
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    Chapter 13 Robustness Analysis of Machine Learning Models Using Domain-Specific Test Data Perturbation
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    Chapter 14 Vocalization Features to Recognize Small Dolphin Species for Limited Datasets
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    Chapter 15 Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo
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    Chapter 16 A Review on Quadruped Manipulators
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    Chapter 17 Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis
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    Chapter 18 Analysis of Dam Natural Frequencies Using a Convolutional Neural Network
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    Chapter 19 Imbalanced Regression Evaluation Under Uncertain Domain Preferences
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    Chapter 20 Studying the Impact of Sampling in Highly Frequent Time Series
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    Chapter 21 Mining Causal Links Between TV Sports Content and Real-World Data
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    Chapter 22 Hybrid SkipAwareRec: A Streaming Music Recommendation System
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    Chapter 23 Interpreting What is Important: An Explainability Approach and Study on Feature Selection
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    Chapter 24 Time-Series Pattern Verification in CNC Machining Data
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    Chapter 25 A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
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    Chapter 26 Measuring Latency-Accuracy Trade-Offs in Convolutional Neural Networks
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    Chapter 27 Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance
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    Chapter 28 Multi-robot Adaptive Sampling for Supervised Spatiotemporal Forecasting
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    Chapter 29 Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions
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    Chapter 30 Tweet2Story: Extracting Narratives from Twitter
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    Chapter 31 Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning
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    Chapter 32 Event Extraction for Portuguese: A QA-Driven Approach Using ACE-2005
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    Chapter 33 Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis
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    Chapter 34 Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
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    Chapter 35 Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
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    Chapter 36 OSPT: European Portuguese Paraphrastic Dataset with Machine Translation
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    Chapter 37 Task Conditioned BERT for Joint Intent Detection and Slot-Filling
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    Chapter 38 Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs
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    Chapter 39 Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques
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    Chapter 40 Review of Agent-Based Evacuation Models in Python
Attention for Chapter 34: Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
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Chapter title
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks
Chapter number 34
Book title
Progress in Artificial Intelligence
Published in
arXiv, January 2023
DOI 10.1007/978-3-031-49008-8_34
Book ISBNs
978-3-03-149007-1, 978-3-03-149008-8
Authors

Rocha, Victor Hugo Nascimento, Silveira, Igor Cataneo, Pirozelli, Paulo, Mauá, Denis Deratani, Cozman, Fabio Gagliardi, Victor Hugo Nascimento Rocha, Igor Cataneo Silveira, Paulo Pirozelli, Denis Deratani Mauá, Fabio Gagliardi Cozman

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Bachelor 1 10%
Professor 1 10%
Unspecified 1 10%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 2 20%
Unspecified 1 10%
Social Sciences 1 10%
Chemistry 1 10%
Unknown 5 50%
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 25 June 2024.
All research outputs
#23,516,639
of 26,183,699 outputs
Outputs from arXiv
#710,055
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#418,774
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Outputs of similar age from arXiv
#19,747
of 29,162 outputs
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So far Altmetric has tracked 975,557 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29,162 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.