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Foundations of Intelligent Systems

Overview of attention for book
Cover of 'Foundations of Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Fully Automatic Classification of Flow Cytometry Data
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    Chapter 2 Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction
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    Chapter 3 Early Detection of Heart Symptoms with Convolutional Neural Network and Scattering Wavelet Transformation
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    Chapter 4 Rough Sets: Visually Discerning Neurological Functionality During Thought Processes
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    Chapter 5 Solving the Maximal Clique Problem on Compressed Graphs
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    Chapter 6 Clones in Graphs
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    Chapter 7 Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context
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    Chapter 8 An Intra-algorithm Comparison Study of Complete Search FSM Implementations in Centralized Graph Transaction Databases
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    Chapter 9 Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity
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    Chapter 10 Deep Neural Networks for Face Recognition: Pairwise Optimisation
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    Chapter 11 Mobile Application with Image Recognition for Persons with Aphasia
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    Chapter 12 A Comparative Study on Soft Biometric Approaches to Be Used in Retail Stores
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    Chapter 13 Low Cost Intelligent System for the 2D Biomechanical Analysis of Road Cyclists
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    Chapter 14 An Approach for the Police Districting Problem Using Artificial Intelligence
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    Chapter 15 Unsupervised Vehicle Recognition Using Incremental Reseeding of Acoustic Signatures
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    Chapter 16 A Big Data Framework for Analysis of Traffic Data in Italian Highways
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    Chapter 17 Traffic Data Classification for Police Activity
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    Chapter 18 Multipurpose Web-Platform for Labeling Audio Segments Efficiently and Effectively
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    Chapter 19 A Description Logic of Typicality for Conceptual Combination
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    Chapter 20 Sparse Multi-label Bilinear Embedding on Stiefel Manifolds
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    Chapter 21 Learning Latent Factors in Linked Multi-modality Data
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    Chapter 22 Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering
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    Chapter 23 Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction
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    Chapter 24 Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering
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    Chapter 25 User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian
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    Chapter 26 A Novel Personalized Citation Recommendation Approach Based on GAN
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    Chapter 27 Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data
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    Chapter 28 SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data
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    Chapter 29 An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks
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    Chapter 30 An Instrumented Methodology to Analyze and Categorize Information Flows on Twitter Using NLP and Deep Learning: A Use Case on Air Quality
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    Chapter 31 Market-Aware Proactive Skill Posting
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    Chapter 32 Evidential Multi-relational Link Prediction Based on Social Content
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    Chapter 33 Predicting Temporal Activation Patterns via Recurrent Neural Networks
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    Chapter 34 Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting
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    Chapter 35 Temporal Reasoning with Layered Preferences
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    Chapter 36 An Adaptive Three-Way Clustering Algorithm for Mixed-Type Data
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    Chapter 37 Three-Way Spectral Clustering
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    Chapter 38 The Granular Structures in Formal Concept Analysis
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    Chapter 39 Fuzzy RST and RST Rules Can Predict Effects of Different Therapies in Parkinson’s Disease Patients
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    Chapter 40 From Knowledge Discovery to Customer Attrition
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    Chapter 41 Initial Analysis of Multivariate Factors for Prediction of Shark Presence and Attacks on the Coast of North Carolina
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    Chapter 42 An Experimental Evaluation of Algorithms for Opinion Mining in Multi-domain Corpus in Albanian
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    Chapter 43 Predicting Author’s Native Language Using Abstracts of Scholarly Papers
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    Chapter 44 Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery
Attention for Chapter 19: A Description Logic of Typicality for Conceptual Combination
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Chapter title
A Description Logic of Typicality for Conceptual Combination
Chapter number 19
Book title
Foundations of Intelligent Systems
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-01851-1_19
Book ISBNs
978-3-03-001850-4, 978-3-03-001851-1
Authors

Antonio Lieto, Gian Luca Pozzato, Lieto, Antonio, Pozzato, Gian Luca

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Unspecified 1 11%
Student > Ph. D. Student 1 11%
Student > Doctoral Student 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Linguistics 1 11%
Unspecified 1 11%
Agricultural and Biological Sciences 1 11%
Design 1 11%
Other 0 0%
Unknown 2 22%

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