Pedro Saleiro
6 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
AAAI (1)
CLEAR (1)
ICLR (1)
JMLR (1)
NIPS (1)
SEMEVAL (1)
Top co-authors
Keywords
model interpretability
(2)
fraud detection
(2)
sentiment analysis
(1)
hyperparameter optimization
(1)
model evaluation
(1)
class imbalance
(1)
experimental design
(1)
regression analysis
(1)
benchmark dataset
(1)
bias mitigation
(1)
local explanation
(1)
structural causal model
(1)
tabular datum
(1)
fair machine learning
(1)
post-hoc explanation
(1)
human evaluation
(1)
word embedding
(1)
sentiment polarity
(1)
fairness evaluation
(1)
explainable machine learning
(1)
Papers
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
CLEAR 2024
Aequitas Flow: Streamlining Fair ML Experimentation
JMLR 2024
FairGBM: Gradient Boosting with Fairness Constraints
ICLR 2023
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
NIPS 2022
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
SEMEVAL 2017