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1
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
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Article
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The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

Computer graphics forum, 2020-06, Vol.39 (3), p.713-756 [Peer Reviewed Journal]

Attribution ;ISSN: 0167-7055 ;EISSN: 1467-8659 ;DOI: 10.1111/cgf.14034

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2
CC2Vec: Distributed Representations of Code Changes
Material Type:
Conference Proceeding
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CC2Vec: Distributed Representations of Code Changes

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1145/3377811.3380361

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3
Scalable and Accurate Subsequence Transform
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Article
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Scalable and Accurate Subsequence Transform

Pattern recognition, 2023-11, Vol.147, p.1-18 [Peer Reviewed Journal]

Attribution - NonCommercial - NoDerivatives ;ISSN: 0031-3203 ;EISSN: 1873-5142 ;DOI: 10.1016/j.patcog.2023.110121

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4
On Tail Decay Rate Estimation of Loss Function Distributions
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Article
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On Tail Decay Rate Estimation of Loss Function Distributions

Journal of machine learning research, 2022-12 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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5
A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
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Article
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A General Framework for the Practical Disintegration of PAC-Bayesian Bounds

Machine learning, 2023 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565

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6
SVF-Net: Learning Deformable Image Registration Using Shape Matching
Material Type:
Book Chapter
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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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7
Toolbox for Multimodal Learn (scikit-multimodallearn)
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Article
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Toolbox for Multimodal Learn (scikit-multimodallearn)

Journal of machine learning research, 2021-12, Vol.23 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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8
Optimization with Sparsity-Inducing Penalties
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Book
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Optimization with Sparsity-Inducing Penalties

Foundations and trends in machine learning, 2012 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000015

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9
Estimation of extreme quantiles from heavy-tailed distributions with neural networks
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Article
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Estimation of extreme quantiles from heavy-tailed distributions with neural networks

Statistics and computing, 2023-10, Vol.34 (12), p.1-35 [Peer Reviewed Journal]

Attribution ;ISSN: 0960-3174 ;EISSN: 1573-1375

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10
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
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Article
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On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity

Journal of machine learning research, 2024, Vol.24 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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11
Deep learning in spiking neural networks
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Article
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Deep learning in spiking neural networks

Neural networks, 2019-03, Vol.111, p.47-63 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0893-6080 ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2018.12.002

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12
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
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Article
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MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA

Biometrika, 2022-02, Vol.109 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0006-3444 ;EISSN: 1464-3510

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13
On Multi-Armed Bandit Designs for Dose-Finding Trials
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Article
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On Multi-Armed Bandit Designs for Dose-Finding Trials

Journal of machine learning research, 2021-01 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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14
Best practices in machine learning for chemistry
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Article
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Best practices in machine learning for chemistry

Nature chemistry, 2021-06, Vol.13 (6), p.505-508 [Peer Reviewed Journal]

Springer Nature Limited 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1755-4330 ;EISSN: 1755-4349 ;DOI: 10.1038/s41557-021-00716-z ;PMID: 34059804

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15
Advances and Open Problems in Federated Learning
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Article
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Advances and Open Problems in Federated Learning

Foundations and trends in machine learning, 2021-01, Vol.14 (1-2), p.1-210 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000083

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16
The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning
Material Type:
Article
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The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learning

Journal of environmental management, 2021-11, Vol.298 [Peer Reviewed Journal]

Attribution - NonCommercial ;ISSN: 0301-4797 ;EISSN: 1095-8630 ;DOI: 10.1016/j.jenvman.2021.113511

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17
Machine learning: New tool in the box
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Article
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Machine learning: New tool in the box

Nature physics, 2017-05, Vol.13 (5), p.420-421 [Peer Reviewed Journal]

Copyright Nature Publishing Group May 2017 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1745-2473 ;EISSN: 1745-2481 ;DOI: 10.1038/nphys4053

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18
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
Material Type:
Conference Proceeding
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The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}, 2019, p.2801-2807 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.24963/ijcai.2019/388

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19
Hybrid Recommender System based on Autoencoders
Material Type:
Conference Proceeding
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Hybrid Recommender System based on Autoencoders

Copyright ;DOI: 10.1145/2988450.2988456

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20
Bridging observations, theory and numerical simulation of the ocean using machine learning
Material Type:
Article
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Bridging observations, theory and numerical simulation of the ocean using machine learning

Environmental research letters, 2021-07, Vol.16 (7), p.73008 [Peer Reviewed Journal]

2021 The Author(s). Published by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/ac0eb0 ;CODEN: ERLNAL

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