Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319674216, 9783319674223

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Joint Subjective Opinions

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_19 ◽

2017 ◽

pp. 220-233

Author(s):

Magdalena Ivanovska ◽

Audun Jøsang ◽

Jie Zhang ◽

Shuo Chen

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On Cell Detection System with User Interaction

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_17 ◽

2017 ◽

pp. 195-206

Author(s):

Yoshitaka Maeda ◽

Yasunori Endo ◽

Sho Sanami

Keyword(s):

Detection System ◽

User Interaction ◽

Cell Detection

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Event-Based Transformations of Capacities

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_4 ◽

2017 ◽

pp. 33-39 ◽

Cited By ~ 1

Author(s):

Surajit Borkotokey ◽

Radko Mesiar ◽

Jun Li

Keyword(s):

Event Based

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$$L_1$$ -space for Sugeno Integral

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_7 ◽

2017 ◽

pp. 63-73

Author(s):

Aoi Honda ◽

Yoshiaki Okazaki

Keyword(s):

Sugeno Integral

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Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_6 ◽

2017 ◽

pp. 51-62 ◽

Cited By ~ 1

Author(s):

Aoi Honda ◽

Simon James ◽

Sutharshan Rajasegarar

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Constructing Document Vectors Using Kernel Density Estimates

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_16 ◽

2017 ◽

pp. 183-194

Author(s):

Michael Mayo ◽

Sean Goltz

Keyword(s):

Kernel Density ◽

Density Estimates ◽

Kernel Density Estimates

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Symmetrization Methods for Aggregation Functions

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_3 ◽

2017 ◽

pp. 26-32

Author(s):

Radko Mesiar ◽

Andrea Stupňanová

Keyword(s):

Aggregation Functions

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A Novel Hybrid Model for Activity Recognition

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_15 ◽

2017 ◽

pp. 170-182

Author(s):

Hela Sfar ◽

Amel Bouzeghoub ◽

Nathan Ramoly ◽

Jérôme Boudy

Keyword(s):

Activity Recognition ◽

Hybrid Model

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A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_14 ◽

2017 ◽

pp. 159-169

Author(s):

Warut Pannakkong ◽

Van-Nam Huynh

Keyword(s):

Time Series ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Hybrid Model ◽

Time Series Forecasting ◽

Discrete Wavelet

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Differentially Private Data Sets Based on Microaggregation and Record Perturbation

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67422-3_11 ◽

2017 ◽

pp. 119-131 ◽

Cited By ~ 2

Author(s):

Jordi Soria-Comas ◽

Josep Domingo-Ferrer

Keyword(s):

Data Sets ◽

Private Data

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Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Joint Subjective Opinions

On Cell Detection System with User Interaction

Event-Based Transformations of Capacities

$$L_1$$ -space for Sugeno Integral

Orness and Cardinality Indices for Averaging Inclusion-Exclusion Integrals

Constructing Document Vectors Using Kernel Density Estimates

Symmetrization Methods for Aggregation Functions

A Novel Hybrid Model for Activity Recognition

A Hybrid Model of ARIMA and ANN with Discrete Wavelet Transform for Time Series Forecasting

Differentially Private Data Sets Based on Microaggregation and Record Perturbation

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications