Image de couverture de livre

TACE: Tumor-Aware Counterfactual Explanations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Rossi, Eleonora Beatrice, Lopez, Eleonora, Comminiello, Danilo
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-View Hypercomplex Learning for Breast Cancer Screening
par: Lopez, Eleonora, et autres
Publié: (2022)

Closing the gap in multimodal medical representation alignment
par: Grassucci, Eleonora, et autres
Publié: (2026)

Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
par: Lopez, Eleonora, et autres
Publié: (2024)

A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity
par: Cicchetti, Giordano, et autres
Publié: (2025)

Gramian Multimodal Representation Learning and Alignment
par: Cicchetti, Giordano, et autres
Publié: (2024)

Closing the Modality Gap Aligns Group-Wise Semantics
par: Grassucci, Eleonora, et autres
Publié: (2026)

Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models
par: Lopez, Eleonora, et autres
Publié: (2024)

Generalizing Medical Image Representations via Quaternion Wavelet Networks
par: Sigillo, Luigi, et autres
Publié: (2023)

Towards Explaining Hypercomplex Neural Networks
par: Lopez, Eleonora, et autres
Publié: (2024)

Metadata, Wavelet, and Time Aware Diffusion Models for Satellite Image Super Resolution
par: Sigillo, Luigi, et autres
Publié: (2025)

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
par: Lopez, Eleonora, et autres
Publié: (2023)

Quaternion Wavelet-Conditioned Diffusion Models for Image Super-Resolution
par: Sigillo, Luigi, et autres
Publié: (2025)

FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
par: Gramaccioni, Riccardo Fosco, et autres
Publié: (2025)

Ship in Sight: Diffusion Models for Ship-Image Super Resolution
par: Sigillo, Luigi, et autres
Publié: (2024)

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis
par: Sigillo, Luigi, et autres
Publié: (2025)

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
par: Atad, Matan, et autres
Publié: (2024)

LD-ViCE: Latent Diffusion Model for Video Counterfactual Explanations
par: Varshney, Payal, et autres
Publié: (2025)

Controllable Audio-Visual Viewpoint Generation from 360° Spatial Information
par: Marinoni, Christian, et autres
Publié: (2025)

Exploiting T-norms for Deep Learning in Autonomous Driving
par: Stoian, Mihaela Cătălina, et autres
Publié: (2024)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
par: Haselhoff, Anselm, et autres
Publié: (2024)

Counterfactual Explanations on Robust Perceptual Geodesics
par: Zaher, Eslam, et autres
Publié: (2026)

StereoSync: Spatially-Aware Stereo Audio Generation from Video
par: Marinoni, Christian, et autres
Publié: (2025)

Architecture-Aware Explanation Auditing for Industrial Visual Inspection
par: Jia, Sibo, et autres
Publié: (2026)

NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
par: Cicchetti, Giordano, et autres
Publié: (2024)

Language-Oriented Semantic Latent Representation for Image Transmission
par: Cicchetti, Giordano, et autres
Publié: (2024)

Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
par: Preintner, Tobias, et autres
Publié: (2025)

DocVXQA: Context-Aware Visual Explanations for Document Question Answering
par: Souibgui, Mohamed Ali, et autres
Publié: (2025)

MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
par: Guo, Grace, et autres
Publié: (2024)

Counterfactual Image Editing
par: Pan, Yushu, et autres
Publié: (2024)

Benchmarking Counterfactual Image Generation
par: Melistas, Thomas, et autres
Publié: (2024)

Diffusion Counterfactuals for Image Regressors
par: Ha, Trung Duc, et autres
Publié: (2025)

MACD: Model-Aware Contrastive Decoding via Counterfactual Data
par: Xiao, Qixin
Publié: (2026)

DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
par: Augustin, Maximilian, et autres
Publié: (2023)

Right Predictions, Misleading Explanations: On the Vulnerability of Vision-Language Model Explanations
par: Babadi, Narges, et autres
Publié: (2026)

Do Counterfactual Examples Complicate Adversarial Training?
par: Yeats, Eric, et autres
Publié: (2024)

Linear Explanations for Individual Neurons
par: Oikarinen, Tuomas, et autres
Publié: (2024)

Activation Matching for Explanation Generation
par: Suhail, Pirzada, et autres
Publié: (2025)

Towards Desiderata-Driven Design of Visual Counterfactual Explainers
par: Bender, Sidney, et autres
Publié: (2025)

Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
par: Denton, Remi, et autres
Publié: (2019)

JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos
par: Nardelli, Pietro, et autres
Publié: (2024)