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🎓 Congratulations to our colleague Nikolay Babakov for his new brand #CiTIUSPhD, obtained last Friday after a thesis defense focused on #BayesianNetworks and #ExplainableAI

A solid step toward more transparent and trustworthy ML systems!

🔗 s.citius.gal/phdnikolaybabakov

#RedeCiGUS #FondosEuropeos

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PH293_Data-Science Population Health Data Science Algorithmic thinking for transforming data into information, knowledge, wisdom, and action Tomás Aragón, MD, DrPH, 2025-11-25 TEAMPublicHealth.substack.com (blog) UC Ber...

Slide presentation: "Population Health Data Science: Algorithmic thinking for transforming data into information, knowledge, wisdom, and action" #TEAMPublicHealth #PopulationHealthDataScience #BayesianNetworks
docs.google.com/presentation...

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New Surjective Independence Model Enhances Bayesian Networks

New Surjective Independence Model Enhances Bayesian Networks

SICI reduces the number of distinct probability entries needed and supports interaction effects among parents while keeping inference fast. Read more: getnews.me/new-surjective-independe... #sici #bayesiannetworks #probabilisticai

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Future Research in XP Modeling: A Call for Self-Learning Models

Can a Bayesian Network model accurately predict an XP project's finish time? #bayesiannetworks

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The Final Verdict: Is Pair Programming Worth the Effort?

Discussing the model's accuracy, providing all collected data for future research, and outlining plans for further experiments #bayesiannetworks

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The Challenges of Data Collection for Software Engineering Research

Discussing the challenges of obtaining real-world data and details the two case studies—the Repo Margining System and the Abrahamsson Case Study #bayesiannetworks

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Predictive Modeling in Practice: A Case Study with AgenaRisk

Learn about the implementation and validation of a Bayesian Network model for Extreme Programming (XP) using the AgenaRisk toolset. #bayesiannetworks

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The Defected Story Points Model in Extreme Programming

Learn how a Bayesian Network model predicts defective story points in Extreme Programming, including the model's components and key practices. #bayesiannetworks

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How to Calculate Team Velocity in an XP Project

This article details the factors that influence productivity, including developer skills, Pair Programming, and Test Driven Development (TDD). #bayesiannetworks

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The Core Components of an Extreme Programming Process Model

Explore the design of a Bayesian Network model for Extreme Programming (XP), including its eight input parameters, two internal models, and two output parameter #bayesiannetworks

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The Iterative Structure of an XP Process Model

This article explains how the model reflects XP's iterative nature by connecting sequential releases and detailing the inputs and outputs of each. #bayesiannetworks

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A friendly popular science booklet on Bayesian networks by Jiří Vomlel, Ph.D. (ÚTIA) explains complex probabilistic models with clear examples and formulas — made accessible for a wide audience. Free download (Czech): www.cs.cas.cz/vomlel/vkn-1... #BayesianNetworks #Science #AI

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🔌✨ New article out in Nature Reviews Clean Technology! I discuss how Bayesian Networks can improve Environmental Impact Assessments (EIAs) for clean energy projects, supporting better decisions.
Read here: rdcu.be/eebrc
#BayesianNetworks #CleanEnergy #EIAs #CausalInference #OpenScience

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🧬"Predicting the genetic component of gene expression using gene regulatory networks" introduces a method leveraging #BayesianNetworks to model cis and trans genetic influences.

📃Explore the full paper here: doi.org/10.1093/bioa...

#Bioinformatics #GeneExpression

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