Advances in Artificial Intelligence - Lecture Notes in Computer Science
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TOTAL DOCUMENTS

(FIVE YEARS 69)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030183042, 9783030183059

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_60 ◽

2019 ◽

pp. 563-569

Author(s):

Nicolas Garneau ◽

Jean-Samuel Leboeuf ◽

Luc Lamontagne

Keyword(s):

Word Embeddings

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Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_29 ◽

2019 ◽

pp. 352-358

Author(s):

Farzana Anowar ◽

Samira Sadaoui

Keyword(s):

Ensemble Learning

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Safe Policy Learning with Constrained Return Variance

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_68 ◽

2019 ◽

pp. 605-608

Author(s):

Arushi Jain

Keyword(s):

Policy Learning ◽

Return Variance

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DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_58 ◽

2019 ◽

pp. 549-555 ◽

Cited By ~ 1

Author(s):

Okwudili M. Ezeme ◽

Michael Lescisin ◽

Qusay H. Mahmoud ◽

Akramul Azim

Keyword(s):

Anomaly Detection

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Lifted Temporal Maximum Expected Utility

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_33 ◽

2019 ◽

pp. 380-386

Author(s):

Marcel Gehrke ◽

Tanya Braun ◽

Ralf Möller

Keyword(s):

Expected Utility

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Optimized Random Walk with Restart for Recommendation Systems

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_26 ◽

2019 ◽

pp. 320-332 ◽

Cited By ~ 1

Author(s):

Seyyed Mohammadreza Rahimi ◽

Rodrigo Augusto de Oliveira e Silva ◽

Behrouz Far ◽

Xin Wang

Keyword(s):

Random Walk ◽

Recommendation Systems ◽

Random Walk With Restart

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Maize Insects Classification Through Endoscopic Video Analysis

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_20 ◽

2019 ◽

pp. 251-262

Author(s):

André R. de Geus ◽

Marcos A. Batista ◽

Marcos N. Rabelo ◽

Celia Z. Barcelos ◽

Sérgio F. da Silva

Keyword(s):

Video Analysis ◽

Endoscopic Video

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Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_64 ◽

2019 ◽

pp. 588-592 ◽

Cited By ~ 2

Author(s):

Bonaventure C. Molokwu

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Event Prediction ◽

Social Graphs

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Compression Improves Image Classification Accuracy

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_55 ◽

2019 ◽

pp. 525-530

Author(s):

Nnamdi Ozah ◽

Antonina Kolokolova

Keyword(s):

Image Classification ◽

Classification Accuracy

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Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-18305-9_36 ◽

2019 ◽

pp. 400-405 ◽

Cited By ~ 1

Author(s):

Yoshimasa Kubo ◽

Thomas Trappenberg

Keyword(s):

Adversarial Examples

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Advances in Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Contextual Generation of Word Embeddings for Out of Vocabulary Words in Downstream Tasks

Multi-class Ensemble Learning of Imbalanced Bidding Fraud Data

Safe Policy Learning with Constrained Return Variance

DeepAnom: An Ensemble Deep Framework for Anomaly Detection in System Processes

Lifted Temporal Maximum Expected Utility

Optimized Random Walk with Restart for Recommendation Systems

Maize Insects Classification Through Endoscopic Video Analysis

Event Prediction in Social Graphs Using 1-Dimensional Convolutional Neural Network

Compression Improves Image Classification Accuracy

Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples

Advances in Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications