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Extinction as the behavioral mechanism of the naltrexone‐extended release for opioid dependence: could there be an alternative explanation?

Addiction (Abingdon, England), 2020-11, Vol.115 (11), p.2187-2188

2020

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Effect of patient characteristics on the efficacy and safety of imeglimin monotherapy in Japanese patients with type 2 diabetes mellitus: A post‐hoc analysis of two randomized, placebo‐controlled trials

Journal of diabetes investigation, 2023-09, Vol.14 (9), p.1101-1109

2023

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Growth and Financial Performance Governance by the Total Resources: A Case of Indian Downstream Oil and Gas Firms

International journal of energy economics and policy, 2023-05, Vol.13 (3), p.141-148

2023

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Generating post-hoc explanation from deep neural networks for multi-modal medical image analysis tasks

MethodsX, 2023-01, Vol.10, p.102009-102009, Article 102009

2023

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Chemically improved Terminalia catappa L. oil: A possible renewable substitute for conventional mineral transformer oil

Journal of environmental chemical engineering, 2017-02, Vol.5 (1), p.1107-1118

2017

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Energy-Efficient IoT-Fog-Cloud Architectural Paradigm for Real-Time Wildfire Prediction and Forecasting

IEEE systems journal, 2020-06, Vol.14 (2), p.2003-2011

2020

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Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty

Explainable Artificial Intelligence, 2024, p.332-355

2024

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Subgroup analysis as a source of spurious findings: an illustration using new data on alcohol intake and coronary heart disease

Addiction (Abingdon, England), 2015-01, Vol.110 (1), p.183-184

2015

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The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

Journal of biomedical informatics, 2021-01, Vol.113, p.103655-103655, Article 103655

2021

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Efficacy and Safety of Evocalcet Evaluated by Dialysate Calcium Concentration in Patients with Secondary Hyperparathyroidism Undergoing Hemodialysis

International journal of nephrology and renovascular disease, 2020-01, Vol.13, p.97-106

2020

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Post-hoc Interpretability for Neural NLP: A Survey

ACM computing surveys, 2023-08, Vol.55 (8), p.1-42

2023

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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Information fusion, 2023-11, Vol.99, p.101805, Article 101805

2023

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Comparative analysis of Student's live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector

Computers and education, 2021-07, Vol.168, p.104211-104211, Article 104211

2021

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Statistical power of replicated helicopter surveys in southern African conservation areas

African journal of ecology, 2017-06, Vol.55 (2), p.198-210

2017

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Early Treatment Targets for Predicting Long-term Dermatology Life Quality Index Response in Patients with Moderate-to-Severe Plaque Psoriasis: A Post-hoc Analysis from a Long-term Clinical Study

The Journal of clinical and aesthetic dermatology, 2020-10, Vol.13 (10), p.18-22

2020

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Análisis de varianza no paramétrica: Un punto de vista a favor para utilizarla

Acta Agrícola y Pecuaria, 2018, Vol.4 (3), p.69-79

Núñez Colín, Carlos A

2018

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Machine Learned KPI Goal Preferences for Explainable AI based Production Sequencing

Integrated Uncertainty in Knowledge Modelling and Decision Making, p.79-90

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Integration of interpretable machine learning and environmental magnetism elucidates reduction mechanism of bioavailable potentially toxic elements in lakes after monsoon

The Science of the total environment, 2024-12, Vol.954, p.176418, Article 176418

2024

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Why caution is recommended with post-hoc individual patient matching for estimation of treatment effect in parallel-group randomized controlled trials: The case of acute stroke trials

Statistics in medicine, 2013-11, Vol.32 (25), p.4467-4481

2013

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Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges

International journal of computer vision, 2022-10, Vol.130 (10), p.2425-2452

2022

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Design and Analysis of the NIPS 2016 Review Process

Journal of machine learning research, 2018-01, Vol.19, p.1-34

2018

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How Bayes factors change scientific practice

Journal of mathematical psychology, 2016-06, Vol.72, p.78-89

Dienes, Zoltan

2016

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Permutation-based simultaneous confidence bounds for the false discovery proportion

Biometrika, 2019-09, Vol.106 (3), p.635-649

2019

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How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability

Journal of business research, 2024-04, Vol.176, p.114610, Article 114610

Chen, Changdong

2024

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PAMI: Partition Input and Aggregate Outputs for Model Interpretation

Pattern recognition, 2024-01, Vol.145, p.109898, Article 109898

2024

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Extinction as the behavioral mechanism of the naltrexone‐extended release for opioid dependence: could there be an alternative explanation?

Effect of patient characteristics on the efficacy and safety of imeglimin monotherapy in Japanese patients with type 2 diabetes mellitus: A post‐hoc analysis of two randomized, placebo‐controlled trials

Growth and Financial Performance Governance by the Total Resources: A Case of Indian Downstream Oil and Gas Firms

Generating post-hoc explanation from deep neural networks for multi-modal medical image analysis tasks

Chemically improved Terminalia catappa L. oil: A possible renewable substitute for conventional mineral transformer oil

Energy-Efficient IoT-Fog-Cloud Architectural Paradigm for Real-Time Wildfire Prediction and Forecasting

Conditional Calibrated Explanations: Finding a Path Between Bias and Uncertainty

Subgroup analysis as a source of spurious findings: an illustration using new data on alcohol intake and coronary heart disease

The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies

Efficacy and Safety of Evocalcet Evaluated by Dialysate Calcium Concentration in Patients with Secondary Hyperparathyroidism Undergoing Hemodialysis

Post-hoc Interpretability for Neural NLP: A Survey

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Comparative analysis of Student's live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector

Statistical power of replicated helicopter surveys in southern African conservation areas

Early Treatment Targets for Predicting Long-term Dermatology Life Quality Index Response in Patients with Moderate-to-Severe Plaque Psoriasis: A Post-hoc Analysis from a Long-term Clinical Study

Análisis de varianza no paramétrica: Un punto de vista a favor para utilizarla

Machine Learned KPI Goal Preferences for Explainable AI based Production Sequencing

Integration of interpretable machine learning and environmental magnetism elucidates reduction mechanism of bioavailable potentially toxic elements in lakes after monsoon

Why caution is recommended with post-hoc individual patient matching for estimation of treatment effect in parallel-group randomized controlled trials: The case of acute stroke trials

Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges

Design and Analysis of the NIPS 2016 Review Process

How Bayes factors change scientific practice

Permutation-based simultaneous confidence bounds for the false discovery proportion

How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability

PAMI: Partition Input and Aggregate Outputs for Model Interpretation

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