Tags Archive

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• Accessibility (1)
• Active Inference (1)
• Adaptive Priors (1)
• Adolescence (3)
• Affect (1)
• Agent (2)
• Anonymization (2)
• Anxiety (1)
• Artificial intelligence (5)
• Autism Spectrum Disorder (1)
• AutoML (1)
• BIDS (2)
• Bayes (11)
• Bayesian Brain (3)
• Bias (1)
• Bigram (1)
• Complexity (2)
• Consciousness (4)
• Creative coding (1)
• DTW (1)
• Data visualization (1)
• Dbplyr (1)
• De-Identification (1)
• Depression (1)
• Differential Privacy (3)
• Digital Health (1)
• Digital-Health (1)
• DigitalHealth (10)
• Electronic Health Records (2)
• Emotional Valence (1)
• Ethics (1)
• FAIR (1)
• FHIR (1)
• Fairness (1)
• Feature Engineering (1)
• Finance (4)
• Findability (1)
• Forecasting (2)
• Free Energy Principle (8)
• Generative art (1)
• H2O (1)
• HL7 (1)
• Health Data (1)
• Interoperability (2)
• Interpretability (5)
• K-anonymity (1)
• LSTM (2)
• Learning Health Systems (1)
• Longitudinal Modelling (1)
• MDP (1)
• Machine Learning (8)
• Machine-learning (1)
• Network Modelling (1)
• NeuroImaging (4)
• NiPy (1)
• Nifti (3)
• POMDP (1)
• Prediction Modelling (1)
• Predictive Processing (1)
• Preprocessing (1)
• Privacy (2)
• Prophet (2)
• Psychopathology (2)
• Quant (2)
• Quantile regression (1)
• R (17)
• RLHF (1)
• Responsible AI (3)
• Reusability (1)
• Risk Behaviors (2)
• SFT (1)
• SQL (1)
• STAN (11)
• Screen-time (1)
• Self (1)
• Sentiment Analysis (1)
• Simulation (2)
• Stocks (5)
• Synthetic Data (3)
• TidyModels (1)
• Tidypredict (1)
• Time Series (1)
• Time series (1)
• Tuner (2)
• Twitter (1)
• Uncertainty (1)
• Youth (1)
• brms (1)
• health services (1)

Accessibility

• FAIR Principles (March 14, 2021)

Active Inference

• Free Energy Principle (February 28, 2024)

Adaptive Priors

• Free Energy Principle and Bayesian Brain (April 28, 2024)

Adolescence

• The Network Constellation of Personality and Substance Use (May 28, 2020)
• Machine Learning prediction of adolescence alcohol use with behavioral/neuro-psychological data (January 20, 2019)
• Adolescent depression and reduced cognitive performance (December 30, 2018)

Affect

• Hard Problem of Consciousness, Affective and Subcortical theories (December 25, 2024)

Agent

• Agent-based Simulation, part 2 modeling with Mesa (January 20, 2022)
• Agent Based Simulation, part 1 theoretical concepts (November 25, 2021)

Anonymization

• Data Anonymization in R (May 25, 2025)
• Présentation ACFAS (May 05, 2025)

Anxiety

• Reconceptualizing Anxiety and Depression within the Free Energy Principle and Active Inference Framework (March 25, 2025)

Artificial intelligence

• Ethical Challenges and Governance in the Integration of Digital Health Technologies and AI (April 25, 2025)
• Uncertainty and Bias in AI Models (December 22, 2023)
• Responsible AI and Supervised fine-tuning (SFT) (November 26, 2023)
• Responsible AI and Reinforcement Learning from Human Feedback (RLHF) (September 25, 2023)
• Responsible AI (July 25, 2023)

Autism Spectrum Disorder

• Autism Spectrum Disorder and Free Energy Principle (June 25, 2025)

AutoML

• H2O AutoML (October 25, 2022)

BIDS

• Neuro-Imaging Data An Introduction (February 28, 2023)
• Brain Imaging Data Structure (BIDS) (July 19, 2022)

Bayes

• Dirichlet Regression and Clustering in R (February 25, 2025)
• Dirichlet Distribution in R and Stan (November 25, 2024)
• Bayesian Ordinal and Multinomial Regression Models (May 25, 2024)
• Bayesian Gaussian Mixture Models (GMM) (January 28, 2024)
• Bayesian Gaussian Process Regression (GPR) (October 28, 2023)
• Bayesian Quantile Regression (August 28, 2023)
• Bayesian Multilevel models in brms (January 28, 2023)
• Bayesian Regularized Regression (December 28, 2022)
• Bayesian Robust t-regression for Non-Normal residuals (September 29, 2022)
• Bayesian Regression Models for Non-Normal Data (June 27, 2022)
• Bayesian Modeling in R and Stan (April 25, 2022)

Bayesian Brain

• Free Energy Principle and Consciousness (August 28, 2024)
• Free Energy Principle and Emotional Valence (June 30, 2024)
• Free Energy Principle and Bayesian Brain (April 28, 2024)

Bias

• Uncertainty and Bias in AI Models (December 22, 2023)

Bigram

• Twitter Analysis with R (July 10, 2021)

Complexity

• Agent-based Simulation, part 2 modeling with Mesa (January 20, 2022)
• Agent Based Simulation, part 1 theoretical concepts (November 25, 2021)

Consciousness

• Autism Spectrum Disorder and Free Energy Principle (June 25, 2025)
• Hard Problem of Consciousness, Affective and Subcortical theories (December 25, 2024)
• Free Energy Principle and Consciousness, World and Self Theories of Consciousness (October 28, 2024)
• Free Energy Principle and Consciousness (August 28, 2024)

Creative coding

• Generative aRt (December 25, 2021)

DTW

• Time series clustering (August 24, 2022)

Data visualization

• Generative aRt (December 25, 2021)

Dbplyr

• Databases in R and Tidyverse (October 25, 2021)

De-Identification

• De-Identification Packages in R (February 14, 2021)

Depression

• Reconceptualizing Anxiety and Depression within the Free Energy Principle and Active Inference Framework (March 25, 2025)

Differential Privacy

• Machine Learning with Differential Privacy (January 25, 2025)
• Synthetic Data Generation and Differential Privacy in R (September 28, 2024)
• Data Anonymization in Health Care (July 30, 2024)

Digital Health

• Ethical Challenges and Governance in the Integration of Digital Health Technologies and AI (April 25, 2025)

Digital-Health

• A simple introduction to HL7 and FHIR (October 20, 2020)

DigitalHealth

• Data Anonymization in R (May 25, 2025)
• Présentation ACFAS (May 05, 2025)
• Machine Learning with Differential Privacy (January 25, 2025)
• Synthetic Data Generation and Differential Privacy in R (September 28, 2024)
• Data Anonymization in Health Care (July 30, 2024)
• Synthetic Data in Health Care (March 26, 2024)
• Feature Importance Analysis in R (June 28, 2021)
• Health Care Data An intangible Asset (December 26, 2020)
• Diagnosing heart disease using a robust and explainable pipeline in tidyverse (September 14, 2020)
• Necessity of Explainable Models in Digital Health (August 26, 2020)

Electronic Health Records

• Learning Health Systems (April 19, 2021)
• A simple introduction to HL7 and FHIR (October 20, 2020)

Emotional Valence

• Free Energy Principle and Emotional Valence (June 30, 2024)

Ethics

• Ethical Challenges and Governance in the Integration of Digital Health Technologies and AI (April 25, 2025)

FAIR

• FAIR Principles (March 14, 2021)

FHIR

• A simple introduction to HL7 and FHIR (October 20, 2020)

Fairness

• Responsible AI (July 25, 2023)

Feature Engineering

• Automatic Feature Engineering (November 30, 2022)

Finance

• Portfolio Optimization with R (September 25, 2021)
• Stock Forecasting with LSTM (May 23, 2021)
• Stock Forecasting with R (January 14, 2021)
• Stock data analysis with R an introduction (November 14, 2020)

Findability

• FAIR Principles (March 14, 2021)

Forecasting

• Forecsting Optimization and FB prophet Hyperparameter Tuning (May 28, 2022)
• Forecsting with FB prophet (March 25, 2022)

Free Energy Principle

• Autism Spectrum Disorder and Free Energy Principle (June 25, 2025)
• Reconceptualizing Anxiety and Depression within the Free Energy Principle and Active Inference Framework (March 25, 2025)
• Hard Problem of Consciousness, Affective and Subcortical theories (December 25, 2024)
• Free Energy Principle and Consciousness, World and Self Theories of Consciousness (October 28, 2024)
• Free Energy Principle and Consciousness (August 28, 2024)
• Free Energy Principle and Emotional Valence (June 30, 2024)
• Free Energy Principle and Bayesian Brain (April 28, 2024)
• Free Energy Principle (February 28, 2024)

Generative art

• Generative aRt (December 25, 2021)

H2O

• H2O AutoML (October 25, 2022)

HL7

• A simple introduction to HL7 and FHIR (October 20, 2020)

Health Data

• Learning Health Systems (April 19, 2021)

Interoperability

• Brain Imaging Data Structure (BIDS) (July 19, 2022)
• FAIR Principles (March 14, 2021)

Interpretability

• Automatic Feature Engineering (November 30, 2022)
• Feature Importance Analysis in R (June 28, 2021)
• Health Care Data An intangible Asset (December 26, 2020)
• Diagnosing heart disease using a robust and explainable pipeline in tidyverse (September 14, 2020)
• Necessity of Explainable Models in Digital Health (August 26, 2020)

K-anonymity

• De-Identification Packages in R (February 14, 2021)

LSTM

• Stock Forecasting with LSTM, part 2 Keras Tuner (February 20, 2022)
• Stock Forecasting with LSTM (May 23, 2021)

Learning Health Systems

• Learning Health Systems (April 19, 2021)

Longitudinal Modelling

• Adolescent depression and reduced cognitive performance (December 30, 2018)

MDP

• Partially Observable Markov Decision Process (POMDP) in R (March 28, 2023)

Machine Learning

• Machine Learning with Differential Privacy (January 25, 2025)
• Automatic Feature Engineering (November 30, 2022)
• H2O AutoML (October 25, 2022)
• Feature Importance Analysis in R (June 28, 2021)
• Health Care Data An intangible Asset (December 26, 2020)
• Diagnosing heart disease using a robust and explainable pipeline in tidyverse (September 14, 2020)
• Necessity of Explainable Models in Digital Health (August 26, 2020)
• Machine Learning prediction of adolescence alcohol use with behavioral/neuro-psychological data (January 20, 2019)

Machine-learning

• Three New Features In TidyModels (August 25, 2021)

Network Modelling

• The Network Constellation of Personality and Substance Use (May 28, 2020)

NeuroImaging

• Neuroimaging Data Preprocessing (June 28, 2023)
• Tools for Neuroimaging Data Processing (April 28, 2023)
• Neuro-Imaging Data An Introduction (February 28, 2023)
• Brain Imaging Data Structure (BIDS) (July 19, 2022)

NiPy

• Tools for Neuroimaging Data Processing (April 28, 2023)

Nifti

• Neuroimaging Data Preprocessing (June 28, 2023)
• Tools for Neuroimaging Data Processing (April 28, 2023)
• Neuro-Imaging Data An Introduction (February 28, 2023)

POMDP

• Partially Observable Markov Decision Process (POMDP) in R (March 28, 2023)

Prediction Modelling

• Machine Learning prediction of adolescence alcohol use with behavioral/neuro-psychological data (January 20, 2019)

Predictive Processing

• Free Energy Principle (February 28, 2024)

Preprocessing

• Neuroimaging Data Preprocessing (June 28, 2023)

Privacy

• Synthetic Data in Health Care (March 26, 2024)
• De-Identification Packages in R (February 14, 2021)

Prophet

• Forecsting Optimization and FB prophet Hyperparameter Tuning (May 28, 2022)
• Forecsting with FB prophet (March 25, 2022)

Psychopathology

• Screen-time, psychopathology, and "dopamine detox" (June 04, 2020)
• Adolescent depression and reduced cognitive performance (December 30, 2018)

Quant

• Portfolio Optimization with R (September 25, 2021)
• Stock data analysis with R an introduction (November 14, 2020)

Quantile regression

• Quantile regression (May 23, 2023)

R

• Data Anonymization in R (May 25, 2025)
• Présentation ACFAS (May 05, 2025)
• Dirichlet Regression and Clustering in R (February 25, 2025)
• Dirichlet Distribution in R and Stan (November 25, 2024)
• Bayesian Ordinal and Multinomial Regression Models (May 25, 2024)
• Bayesian Gaussian Mixture Models (GMM) (January 28, 2024)
• Bayesian Gaussian Process Regression (GPR) (October 28, 2023)
• Bayesian Quantile Regression (August 28, 2023)
• Quantile regression (May 23, 2023)
• Partially Observable Markov Decision Process (POMDP) in R (March 28, 2023)
• Bayesian Regularized Regression (December 28, 2022)
• Bayesian Robust t-regression for Non-Normal residuals (September 29, 2022)
• Time series clustering (August 24, 2022)
• Bayesian Regression Models for Non-Normal Data (June 27, 2022)
• Forecsting Optimization and FB prophet Hyperparameter Tuning (May 28, 2022)
• Bayesian Modeling in R and Stan (April 25, 2022)
• Forecsting with FB prophet (March 25, 2022)

RLHF

• Responsible AI and Reinforcement Learning from Human Feedback (RLHF) (September 25, 2023)

Responsible AI

• Responsible AI and Supervised fine-tuning (SFT) (November 26, 2023)
• Responsible AI and Reinforcement Learning from Human Feedback (RLHF) (September 25, 2023)
• Responsible AI (July 25, 2023)

Reusability

• FAIR Principles (March 14, 2021)

Risk Behaviors

• The Network Constellation of Personality and Substance Use (May 28, 2020)
• Machine Learning prediction of adolescence alcohol use with behavioral/neuro-psychological data (January 20, 2019)

SFT

• Responsible AI and Supervised fine-tuning (SFT) (November 26, 2023)

SQL

• Databases in R and Tidyverse (October 25, 2021)

STAN

• Dirichlet Regression and Clustering in R (February 25, 2025)
• Dirichlet Distribution in R and Stan (November 25, 2024)
• Bayesian Ordinal and Multinomial Regression Models (May 25, 2024)
• Bayesian Gaussian Mixture Models (GMM) (January 28, 2024)
• Bayesian Gaussian Process Regression (GPR) (October 28, 2023)
• Bayesian Quantile Regression (August 28, 2023)
• Bayesian Multilevel models in brms (January 28, 2023)
• Bayesian Regularized Regression (December 28, 2022)
• Bayesian Robust t-regression for Non-Normal residuals (September 29, 2022)
• Bayesian Regression Models for Non-Normal Data (June 27, 2022)
• Bayesian Modeling in R and Stan (April 25, 2022)

Screen-time

• Screen-time, psychopathology, and "dopamine detox" (June 04, 2020)

Self

• Free Energy Principle and Consciousness, World and Self Theories of Consciousness (October 28, 2024)

Sentiment Analysis

• Twitter Analysis with R (July 10, 2021)

Simulation

• Agent-based Simulation, part 2 modeling with Mesa (January 20, 2022)
• Agent Based Simulation, part 1 theoretical concepts (November 25, 2021)

Stocks

• Stock Forecasting with LSTM, part 2 Keras Tuner (February 20, 2022)
• Portfolio Optimization with R (September 25, 2021)
• Stock Forecasting with LSTM (May 23, 2021)
• Stock Forecasting with R (January 14, 2021)
• Stock data analysis with R an introduction (November 14, 2020)

Synthetic Data

• Synthetic Data Generation and Differential Privacy in R (September 28, 2024)
• Data Anonymization in Health Care (July 30, 2024)
• Synthetic Data in Health Care (March 26, 2024)

TidyModels

• Three New Features In TidyModels (August 25, 2021)

Tidypredict

• Databases in R and Tidyverse (October 25, 2021)

Time Series

• Stock Forecasting with R (January 14, 2021)

Time series

• Time series clustering (August 24, 2022)

Tuner

• Stock Forecasting with LSTM, part 2 Keras Tuner (February 20, 2022)
• Three New Features In TidyModels (August 25, 2021)

Twitter

• Twitter Analysis with R (July 10, 2021)

Uncertainty

• Uncertainty and Bias in AI Models (December 22, 2023)

Youth

• Screen-time, psychopathology, and "dopamine detox" (June 04, 2020)

brms

• Bayesian Multilevel models in brms (January 28, 2023)

health services

• Quantile regression (May 23, 2023)