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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
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    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

Lorenzo Donati, Daniele Fongo, Luca Cattelani, Federico Chesani

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The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%