Gabriele Ciravegna
10 papers · 2020–2025 · 6 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
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27)
🧭
Keyword Pioneer
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
🗃️
Keyword Collector
(55)
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(9)
Deep Learning
(8)
Machine Learning
(8)
Core Methods
(6)
Learning Types · Deep Learning
(5)
Architectures
(4)
Application Areas
(3)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Speech & Audio
(1)
Analysis
(1)
Keywords
neural network
(5)
concept bottleneck model
(3)
first-order logic
(3)
logic rule
(2)
feature learning
(2)
voice disorder
(2)
concept bottleneck
(2)
explainable artificial intelligence
(2)
concept-based model
(2)
text classification
(1)
concept representation
(1)
explainable ai
(1)
speech analysis
(1)
synthetic data generation
(1)
multi-source learning
(1)
link prediction
(1)
multi-label classification
(1)
feature fusion
(1)
embedding learning
(1)
concept-based explanation
(1)
Papers
MVP: Multi-source Voice Pathology detection
Interspeech 2025
Interpretable Concept-Based Memory Reasoning
NeurIPS 2024
Relational Concept Bottleneck Models
NeurIPS 2024
Voice Disorder Analysis: a Transformer-based Approach
Interspeech 2024
Interpretable Neural-Symbolic Concept Reasoning
ICML 2023
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
NeurIPS 2022
Entropy-Based Logic Explanations of Neural Networks
AAAI 2022
Extending Logic Explained Networks to Text Classification
EMNLP 2022
A Constraint-Based Approach to Learning and Explanation
AAAI 2020
Human-Driven FOL Explanations of Deep Learning
IJCAI 2020