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chapter
October 2021
Published By ACM
Emotion
- Joost Broekens
The Handbook on Socially Interactive AgentsSeptember 2021, pp 349–384https://doi.org/10.1145/3477322.3477333
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5
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chapter
October 2021
Published By ACM
Theory of Mind and Joint Attention
The Handbook on Socially Interactive AgentsSeptember 2021, pp 311–348https://doi.org/10.1145/3477322.3477332
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18
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chapter
February 2021
Published By ACM
Machine Learning Basics
Intelligent Computing for Interactive System DesignFebruary 2021, pp 143–193https://doi.org/10.1145/3447404.3447414
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42
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chapter
July 2020
Published By ACM
Expert modeling in OWL
Semantic Web for the Working OntologistJuly 2020https://doi.org/10.1145/3382097.3382114

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise ...
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7
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chapter
July 2020
Published By ACM
SKOS—managing vocabularies with RDFS-Plus
Semantic Web for the Working OntologistJuly 2020https://doi.org/10.1145/3382097.3382109

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise ...
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1
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chapter
July 2020
Published By ACM
Extending RDF: RDFS and SCHACL
Semantic Web for the Working OntologistJuly 2020https://doi.org/10.1145/3382097.3382105

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise ...
0
2
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chapter
September 2019
Published By ACM
Machine learning and probabilistic data cleaning
- Ihab F. Ilyas,
- Xu Chu
Data CleaningJuly 2019https://doi.org/10.1145/3310205.3310213

Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions ...
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148
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chapter
October 2018
Perspectives on predictive power of multimodal deep learning: surprises and future directions
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 455–472https://doi.org/10.1145/3107990.3108006
0
117
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chapter
October 2018
Multimodal deception detection
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 419–453https://doi.org/10.1145/3107990.3108005
4
158
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chapter
October 2018
Multimodal assessment of depression from behavioral signals
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 375–417https://doi.org/10.1145/3107990.3108004
13
285
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chapter
October 2018
Multimodal user state and trait recognition: an overview
- Björn Schuller
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 129–165https://doi.org/10.1145/3107990.3107997
2
80
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chapter
October 2018
Deep learning for multisensorial and multimodal interaction
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 99–128https://doi.org/10.1145/3107990.3107996
4
157
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chapter
October 2018
Classifying multimodal data
- Ethem Alpaydin
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 49–69https://doi.org/10.1145/3107990.3107994
1
131
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chapter
October 2018
Challenges and applications in multimodal machine learning
The Handbook of Multimodal-Multisensor InterfacesOctober 2018, pp 17–48https://doi.org/10.1145/3107990.3107993
3
409
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chapter
September 2018
Natural language processing with (tabled and constraint) logic programming
- Henning Christiansen,
- Verónica Dahl
Declarative Logic ProgrammingSeptember 2018, pp 477–511https://doi.org/10.1145/3191315.3191325

We survey the evolution of natural language processing as it relates to Logic Programming, with particular focus on David Scott Warren's crucial contributions such as tabling, and the relationship with hypothetical reasoning and constraint based ...
1
76
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chapter
September 2018
A survey of probabilistic logic programming
- Fabrizio Riguzzi,
- Theresa Swift
Declarative Logic ProgrammingSeptember 2018, pp 185–228https://doi.org/10.1145/3191315.3191319

The combination of logic programming and probability has proven useful for modeling domains with complex and uncertain relationships among elements. Many probabilistic logic programming (PLP) semantics have been proposed; among these, the distribution ...
6
77
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chapter
March 2018
Light Field Reconstruction Using Continuous Fourier Sparsity
- Haitham Hassanieh
The Sparse Fourier Transform: Theory and PracticeFebruary 2018, https://doi.org/10.1145/3166186.3166196

The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals. It plays a central role in signal processing, communications, audio and video compression, medical imaging, genomics, astronomy, as well as ...
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27
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chapter
March 2018
Recommender Systems
- ChengXiang Zhai,
- Sean Massung
Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text MiningJune 2016, https://doi.org/10.1145/2915031.2915043

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media (such as blog articles, forum posts, product reviews, and tweets). This has ...
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89
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chapter
March 2018
Background
- ChengXiang Zhai,
- Sean Massung
Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text MiningJune 2016, https://doi.org/10.1145/2915031.2915034

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media (such as blog articles, forum posts, product reviews, and tweets). This has ...
0
51
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chapter
December 2017
Multimedia fog computing: minions in the cloud and crowd
Frontiers of Multimedia ResearchDecember 2017, pp 255–286https://doi.org/10.1145/3122865.3122876

In cloud computing, minions refer to virtual or physical machines that carry out the actual workload. Minions in the cloud hide in faraway data centers and thus cloud computing is less friendly to multimedia applications. The fog computing paradigm ...
2
75
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Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

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Publication Date

Emotion

Theory of Mind and Joint Attention

Machine Learning Basics

Expert modeling in OWL

SKOS—managing vocabularies with RDFS-Plus

Extending RDF: RDFS and SCHACL

Machine learning and probabilistic data cleaning

Perspectives on predictive power of multimodal deep learning: surprises and future directions

Multimodal deception detection

Multimodal assessment of depression from behavioral signals

Multimodal user state and trait recognition: an overview

Deep learning for multisensorial and multimodal interaction

Classifying multimodal data

Challenges and applications in multimodal machine learning

Natural language processing with (tabled and constraint) logic programming

A survey of probabilistic logic programming

Light Field Reconstruction Using Continuous Fourier Sparsity

Recommender Systems

Background

Multimedia fog computing: minions in the cloud and crowd