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1
Introduction: What is learning engineering?
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Introduction: What is learning engineering?

Learning Engineering Toolkit, 2023

ISBN: 9781032208503 ;ISBN: 9781032232829 ;ISBN: 1032208503 ;ISBN: 103223282X ;DOI: 10.4324/9781003276579-3

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2
SVF-Net: Learning Deformable Image Registration Using Shape Matching
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SVF-Net: Learning Deformable Image Registration Using Shape Matching

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-319-66182-7_31

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3
Interactive Robot Learning: An Overview
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Interactive Robot Learning: An Overview

Human-Centered Artificial Intelligence, 2023, Vol.13500, p.140-172 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-031-24349-3_9

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4
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
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Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-030-58520-4_12

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5
Towards a social learning analysis using Learning Management System and Learning Experience to predict learners' success
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Towards a social learning analysis using Learning Management System and Learning Experience to predict learners' success

Augmented Intelligence and Intelligent Tutoring Systems, 19th International Conference, ITS 2023, Corfu, Greece, June 2–5, 2023, Proceedings, Lecture Notes in Computer Science, 2023 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 3031328825 ;ISBN: 9783031328824 ;DOI: 10.1007/978-3-031-32883-1_33

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6
The Empirics of Agglomeration Economies
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The Empirics of Agglomeration Economies

Handbook of Regional & Urban Economics, 2015, Vol.5, p.247-348

2015 Elsevier B.V. ;ISSN: 1574-0080 ;ISBN: 9780444595331 ;ISBN: 0444595333 ;DOI: 10.1016/B978-0-444-59517-1.00005-2

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7
Active class incremental learning for imbalanced datasets
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Active class incremental learning for imbalanced datasets

Lecture notes in computer science, 2020, Vol.12540, p.146-162 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0302-9743 ;EISSN: 1611-3349 ;DOI: 10.1007/978-3-030-65414-6_12

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8
Explainable Reinforcement Learning: A Survey
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Explainable Reinforcement Learning: A Survey

Lecture Notes in Computer Science, 2020, Vol.LNCS-12279, p.77-95 [Peer Reviewed Journal]

Attribution ;DOI: 10.1007/978-3-030-57321-8_5

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9
PaDiM: a patch distribution modeling framework for anomaly detection and localization
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PaDiM: a patch distribution modeling framework for anomaly detection and localization

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-030-68799-1_35

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10
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses
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A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses

Computer Vision – ECCV 2020 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, 2020, p.548-564 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-030-58539-6_33

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11
Towards a Chatbot-based Learning Object Recommendation: A Comparative Experiment
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Book Chapter
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Towards a Chatbot-based Learning Object Recommendation: A Comparative Experiment

Lecture Notes in Computer Science, 2023, Vol.13891 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 3031328825 ;ISBN: 9783031328824 ;DOI: 10.1007/978-3-031-32883-1_14

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12
Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework
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Book Chapter
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Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework

ECBS 2023, 2024, p.42 [Peer Reviewed Journal]

ISBN: 303149251X ;ISBN: 9783031492525 ;ISBN: 3031492528 ;ISBN: 9783031492518 ;DOI: 10.1007/978-3-031-49252-5_5

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13
Learning Analytics Based on Streamed Log Data from a Course in Logic
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Book Chapter
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Learning Analytics Based on Streamed Log Data from a Course in Logic

Lecture notes in computer science, 2023 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 1611-3349 ;ISSN: 0302-9743 ;EISSN: 1611-3349 ;DOI: 10.1007/978-3-031-40113-8_42

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14
Transfer in Reinforcement Learning: A Framework and a Survey
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Transfer in Reinforcement Learning: A Framework and a Survey

Reinforcement Learning, 2012, Vol.12, p.143-173

Springer-Verlag Berlin Heidelberg 2012 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1867-4534 ;ISBN: 364227644X ;ISBN: 9783642276446 ;EISSN: 1867-4542 ;EISBN: 9783642276453 ;EISBN: 3642276458 ;DOI: 10.1007/978-3-642-27645-3_5

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15
Evasion Attacks against Machine Learning at Test Time
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Evasion Attacks against Machine Learning at Test Time

Machine Learning and Knowledge Discovery in Databases, p.387-402 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0302-9743 ;ISBN: 9783642409936 ;ISBN: 3642409938 ;EISSN: 1611-3349 ;EISBN: 9783642409943 ;EISBN: 3642409946 ;DOI: 10.1007/978-3-642-40994-3_25

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16
Batch Reinforcement Learning
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Batch Reinforcement Learning

Reinforcement Learning, p.45-73

Springer-Verlag Berlin Heidelberg 2012 ;ISSN: 1867-4534 ;ISBN: 364227644X ;ISBN: 9783642276446 ;EISSN: 1867-4542 ;EISBN: 9783642276453 ;EISBN: 3642276458 ;DOI: 10.1007/978-3-642-27645-3_2

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17
Learning Disentangled Representations via Mutual Information Estimation
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Book Chapter
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Learning Disentangled Representations via Mutual Information Estimation

ECCV 2020: Computer Vision, Vol.12367, p.205-221 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-030-58542-6_13

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18
The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward
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Book Chapter
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The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward

Adaptive and Adaptable Learning, p.490-496 [Peer Reviewed Journal]

The Author(s) 2016, Open Access. This chapter is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, a link is provided to the Creative Commons license and any changes made are indicated.The images or other third party material in this chapter are included in the work's Creative Commons license, unless indicated otherwise in the credit line; if such material is not included in the work's Creative Commons license and the respective action is not permitted by statutory regulation, users will need to obtain permission from the license holder to duplicate, adapt or reproduce the material. ;ISSN: 0302-9743 ;ISBN: 9783319451527 ;ISBN: 3319451529 ;EISSN: 1611-3349 ;EISBN: 9783319451534 ;EISBN: 3319451537 ;DOI: 10.1007/978-3-319-45153-4_48

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19
Towards an Authoring Tool to Help Teachers Create Mobile Collaborative Learning Games for Field Trips
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Book Chapter
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Towards an Authoring Tool to Help Teachers Create Mobile Collaborative Learning Games for Field Trips

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-031-16290-9_49

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20
ML Confidential: Machine Learning on Encrypted Data
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Book Chapter
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ML Confidential: Machine Learning on Encrypted Data

Information Security and Cryptology – ICISC 2012, p.1-21 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0302-9743 ;ISBN: 3642376819 ;ISBN: 9783642376818 ;EISSN: 1611-3349 ;EISBN: 3642376827 ;EISBN: 9783642376825 ;DOI: 10.1007/978-3-642-37682-5_1

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