João Gama
7 papers · 2007–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
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Keyword Collector
(52)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(4)
Application Areas
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Natural Language Processing
(2)
Applications · Natural Language Processing
(2)
Core AI
(2)
Learning Types
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications · Data Science & Analytics
(1)
Learning Paradigms
(1)
Keywords
latent variable model
(2)
unsupervised learning
(1)
unsupervised tagging
(1)
online learning
(1)
variational inference
(1)
bayesian learning
(1)
bayesian inference
(1)
clustering
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
model robustness
(1)
model evaluation
(1)
expectation maximization
(1)
privacy preservation
(1)
algorithmic fairness
(1)
part-of-speech tagging
(1)
class imbalance
(1)
statistical machine translation
(1)
posterior constraints
(1)
concept drift
(1)
Papers
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
AAAI 2026
Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint)
AAAI 2026
Aequitas Flow: Streamlining Fair ML Experimentation
JMLR 2024
Bayesian Federated Learning: A Survey
IJCAI 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
NeurIPS 2022
Posterior vs Parameter Sparsity in Latent Variable Models
NeurIPS 2009
Expectation Maximization and Posterior Constraints
NeurIPS 2007