Concha Bielza
10 papers · 2015–2024 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(10)
🏆
Keyword Champion
(4)
📈
Trend Setter
🌈
Renaissance Researcher
(6)
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Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(10)
Bayesian & Probabilistic · Machine Learning
(8)
Core Methods
(8)
Artificial Intelligence
(7)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Core AI
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Learning Types
(2)
Computer Science
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
bayesian network
(4)
structure learning
(4)
bayesian network classifier
(4)
graphical model
(3)
multi-dimensional classification
(2)
bayesian inference
(2)
causal discovery
(1)
time series
(1)
anomaly detection
(1)
model interpretability
(1)
network visualization
(1)
covariance matrix
(1)
model-based clustering
(1)
precision matrix
(1)
matrix factorization
(1)
multi-objective optimization
(1)
adversarial training
(1)
graph topology
(1)
tractable inference
(1)
knowledge representation
(1)
Papers
Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms
PGM 2024
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection
PGM 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
PGM 2022
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers
PGM 2022
BayesSuites: An Open Web Framework for Visualization of Massive Bayesian Networks
PGM 2020
A partial orthogonalization method for simulating covariance and concentration graph matrices
PGM 2018
Discrete model-based clustering with overlapping subsets of attributes
PGM 2018
Learning Bayesian network classifiers with completed partially directed acyclic graphs
PGM 2018
Learning Tractable Multidimensional Bayesian Network Classifiers
PGM 2016
Decision Boundary for Discrete Bayesian Network Classifiers
JMLR 2015