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AI*IA 2019 – Advances in Artificial Intelligence

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Cover of 'AI*IA 2019 – Advances in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tight Integration of Rule-Based Tools in Game Development
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    Chapter 2 A Comparison of MCMC Sampling for Probabilistic Logic Programming
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    Chapter 3 Augmenting Datalog$$^{\frac{+}{}}$$ with Customizable Metalogic Features for Powerful Ontological Reasoning
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    Chapter 4 Memory Management in Resource-Bounded Agents
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    Chapter 5 A Rule-Based System for Hardware Configuration and Programming of IoT Devices
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    Chapter 6 First Approach to Semantics of Silence in Testimonies
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    Chapter 7 Hybrid Semantics-Aware Recommendations Exploiting Knowledge Graph Embeddings
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    Chapter 8 Strongly Equivalent Epistemic Answer Set Programs
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    Chapter 9 From Simplified Kripke-Style Semantics to Simplified Analytic Tableaux for Some Normal Modal Logics
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    Chapter 10 Automated Planning Encodings for the Manipulation of Articulated Objects in 3D with Gravity
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    Chapter 11 Frequency Assignment in High Performance Computing Systems
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    Chapter 12 PRONOM: Proof-Search and Countermodel Generation for Non-normal Modal Logics
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    Chapter 13 Partitioned Least Squares
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    Chapter 14 Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice!
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    Chapter 15 Handling Modifiers in Question Answering over Knowledge Graphs
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    Chapter 16 A Graphical Analysis of Integer Infeasibility in UTVPI Constraints
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    Chapter 17 Multi-agent Path Finding with Capacity Constraints
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    Chapter 18 Evaluating Robustness of an Acting Framework over Temporally Uncertain Domains
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    Chapter 19 On the Configuration of SAT Formulae
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    Chapter 20 Performance-Driven Handwriting Task Selection for Parkinson’s Disease Classification
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    Chapter 21 A Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks
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    Chapter 22 Winograd Convolution for DNNs: Beyond Linear Polynomials
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    Chapter 23 A Deep Hybrid Model for Recommendation Systems
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    Chapter 24 Kernel-Based Generative Adversarial Networks for Weakly Supervised Learning
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    Chapter 25 Activity Prediction of Business Process Instances with Inception CNN Models
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    Chapter 26 Question Classification with Untrained Recurrent Embeddings
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    Chapter 27 Prediction of Decline in Activities of Daily Living Through Deep Artificial Neural Networks and Domain Adaptation
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    Chapter 28 Capturing Frame-Like Object Descriptors in Human Augmented Mapping
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    Chapter 29 Verification and Repair of Neural Networks: A Progress Report on Convolutional Models
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    Chapter 30 Learning Activation Functions by Means of Kernel Based Neural Networks
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    Chapter 31 Leveraging Multi-task Learning for Biomedical Named Entity Recognition
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    Chapter 32 Applying Self-interaction Attention for Extracting Drug-Drug Interactions
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    Chapter 33 Learning Abstract Planning Domains and Mappings to Real World Perceptions
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    Chapter 34 Towards Effective Device-Aware Federated Learning
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    Chapter 35 Manipulating an Election in Social Networks Through Edge Addition
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    Chapter 36 Shared-Autonomy Navigation for Mobile Robots Driven by a Door Detection Module
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    Chapter 37 Toward Automated Courseware Production for the ExPLoRAA Learning Environment
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    Chapter 38 Artificial Intelligence for Dramatic Performance
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    Chapter 39 Periodicity Detection of Emotional Communities in Microblogging
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    Chapter 40 Mapping Lexical Knowledge to Distributed Models for Ontology Concept Invention
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    Chapter 41 A New Measure of Polarization in the Annotation of Hate Speech
Attention for Chapter 27: Prediction of Decline in Activities of Daily Living Through Deep Artificial Neural Networks and Domain Adaptation
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Chapter title
Prediction of Decline in Activities of Daily Living Through Deep Artificial Neural Networks and Domain Adaptation
Chapter number 27
Book title
AI*IA 2019 – Advances in Artificial Intelligence
Published by
Springer, Cham, November 2019
DOI 10.1007/978-3-030-35166-3_27
Book ISBNs
978-3-03-035165-6, 978-3-03-035166-3
Authors

Lorenzo Donati, Daniele Fongo, Luca Cattelani, Federico Chesani, Donati, Lorenzo, Fongo, Daniele, Cattelani, Luca, Chesani, Federico

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Master 1 20%
Student > Doctoral Student 1 20%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%