Saved in:
| Main Authors: | Pugnana, Andrea, Perini, Lorenzo, Davis, Jesse, Ruggieri, Salvatore |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.12708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bounded-Abstention Pairwise Learning to Rank
by: Ferrara, Antonio, et al.
Published: (2025)
by: Ferrara, Antonio, et al.
Published: (2025)
A Causal Framework for Evaluating Deferring Systems
by: Palomba, Filippo, et al.
Published: (2024)
by: Palomba, Filippo, et al.
Published: (2024)
Divide et Calibra: Multiclass Local Calibration via Vector Quantization
by: Barbera, Cesare, et al.
Published: (2026)
by: Barbera, Cesare, et al.
Published: (2026)
Multiclass Local Calibration with the Jensen-Shannon Distance
by: Barbera, Cesare, et al.
Published: (2025)
by: Barbera, Cesare, et al.
Published: (2025)
Dealing with Uncertainty in Contextual Anomaly Detection
by: Bindini, Luca, et al.
Published: (2025)
by: Bindini, Luca, et al.
Published: (2025)
Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models
by: Bortolotti, Samuele, et al.
Published: (2026)
by: Bortolotti, Samuele, et al.
Published: (2026)
Machine Learning with a Reject Option: A survey
by: Hendrickx, Kilian, et al.
Published: (2021)
by: Hendrickx, Kilian, et al.
Published: (2021)
A Practical Approach to Causal Inference over Time
by: Cinquini, Martina, et al.
Published: (2024)
by: Cinquini, Martina, et al.
Published: (2024)
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
by: Perini, Lorenzo, et al.
Published: (2024)
by: Perini, Lorenzo, et al.
Published: (2024)
Interpretable and Fair Mechanisms for Abstaining Classifiers
by: Lenders, Daphne, et al.
Published: (2025)
by: Lenders, Daphne, et al.
Published: (2025)
Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions
by: Giusti, Lorenzo
Published: (2024)
by: Giusti, Lorenzo
Published: (2024)
Learning to Compile Programs to Neural Networks
by: Weber, Logan, et al.
Published: (2024)
by: Weber, Logan, et al.
Published: (2024)
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024)
by: Cadet, Xavier F., et al.
Published: (2024)
The GECo algorithm for Graph Neural Networks Explanation
by: Calderaro, Salvatore, et al.
Published: (2024)
by: Calderaro, Salvatore, et al.
Published: (2024)
A Neural Network Alternative to Tree-based Models
by: Raieli, Salvatore, et al.
Published: (2024)
by: Raieli, Salvatore, et al.
Published: (2024)
Complex-Valued Unitary Representations as Classification Heads for Improved Uncertainty Quantification in Deep Neural Networks
by: Jafari, Akbar Anbar, et al.
Published: (2026)
by: Jafari, Akbar Anbar, et al.
Published: (2026)
Bounded-Abstention Multi-horizon Time-series Forecasting
by: Stradiotti, Luca, et al.
Published: (2026)
by: Stradiotti, Luca, et al.
Published: (2026)
MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning
by: He, Jesse, et al.
Published: (2026)
by: He, Jesse, et al.
Published: (2026)
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
by: Kan, Ziwen, et al.
Published: (2024)
by: Kan, Ziwen, et al.
Published: (2024)
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
by: Ables, Jesse, et al.
Published: (2024)
by: Ables, Jesse, et al.
Published: (2024)
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
by: Fawaz, Hassan Ismail, et al.
Published: (2023)
by: Fawaz, Hassan Ismail, et al.
Published: (2023)
Measuring multi-calibration
by: Guy, Ido, et al.
Published: (2025)
by: Guy, Ido, et al.
Published: (2025)
Synthetic Trajectory Generation Through Convolutional Neural Networks
by: Merhi, Jesse, et al.
Published: (2024)
by: Merhi, Jesse, et al.
Published: (2024)
Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction
by: Huang, Guan-Hua, et al.
Published: (2024)
by: Huang, Guan-Hua, et al.
Published: (2024)
Wormhole Dynamics in Deep Neural Networks
by: Lai, Yen-Lung, et al.
Published: (2025)
by: Lai, Yen-Lung, et al.
Published: (2025)
Data Classification with Dynamically Growing and Shrinking Neural Networks
by: Świderski, Szymon, et al.
Published: (2025)
by: Świderski, Szymon, et al.
Published: (2025)
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns
by: Lorello, Luca Salvatore, et al.
Published: (2024)
by: Lorello, Luca Salvatore, et al.
Published: (2024)
Deep Convolutional Neural Networks for Palm Fruit Maturity Classification
by: Han, Mingqiang, et al.
Published: (2025)
by: Han, Mingqiang, et al.
Published: (2025)
A Multi-Label Temporal Convolutional Framework for Transcription Factor Binding Characterization
by: Demurtas, Pietro, et al.
Published: (2026)
by: Demurtas, Pietro, et al.
Published: (2026)
Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)
by: Li, You, et al.
Published: (2024)
Proximity-Informed Calibration for Deep Neural Networks
by: Xiong, Miao, et al.
Published: (2023)
by: Xiong, Miao, et al.
Published: (2023)
Interpretable Classification via a Rule Network with Selective Logical Operators
by: Wei, Bowen, et al.
Published: (2024)
by: Wei, Bowen, et al.
Published: (2024)
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
by: Li, Jiahui, et al.
Published: (2026)
by: Li, Jiahui, et al.
Published: (2026)
Unveiling the Power of Sparse Neural Networks for Feature Selection
by: Atashgahi, Zahra, et al.
Published: (2024)
by: Atashgahi, Zahra, et al.
Published: (2024)
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
by: Farebrother, Jesse, et al.
Published: (2024)
by: Farebrother, Jesse, et al.
Published: (2024)
Generalized Simplicial Attention Neural Networks
by: Battiloro, Claudio, et al.
Published: (2023)
by: Battiloro, Claudio, et al.
Published: (2023)
Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
by: Ren, Yi
Published: (2025)
by: Ren, Yi
Published: (2025)
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
Published: (2025)
Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
by: Bini, Lorenzo, et al.
Published: (2024)
by: Bini, Lorenzo, et al.
Published: (2024)
Counterfactual Explanations for Hypergraph Neural Networks
by: Veglianti, Fabiano, et al.
Published: (2026)
by: Veglianti, Fabiano, et al.
Published: (2026)
Similar Items
-
Bounded-Abstention Pairwise Learning to Rank
by: Ferrara, Antonio, et al.
Published: (2025) -
A Causal Framework for Evaluating Deferring Systems
by: Palomba, Filippo, et al.
Published: (2024) -
Divide et Calibra: Multiclass Local Calibration via Vector Quantization
by: Barbera, Cesare, et al.
Published: (2026) -
Multiclass Local Calibration with the Jensen-Shannon Distance
by: Barbera, Cesare, et al.
Published: (2025) -
Dealing with Uncertainty in Contextual Anomaly Detection
by: Bindini, Luca, et al.
Published: (2025)