{"total":15,"rows":[{"id":"2207.13243","title":"Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks","created":"2022-07-27","cited_by_count":129,"area":null},{"id":"2205.04766","title":"Explainable Deep Learning Methods in Medical Image Classification: A Survey","created":"2022-05-10","cited_by_count":32,"area":null},{"id":"2304.04579","title":"Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis","created":"2023-04-10","cited_by_count":26,"area":null},{"id":"2203.13909","title":"Concept Embedding Analysis: A Review","created":"2022-03-25","cited_by_count":20,"area":null},{"id":"2201.01249","title":"ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions","created":"2022-01-04","cited_by_count":19,"area":null},{"id":"2409.13456","title":"Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go?","created":"2024-09-20","cited_by_count":18,"area":null},{"id":"2211.04110","title":"Privacy Meets Explainability: A Comprehensive Impact Benchmark","created":"2022-11-08","cited_by_count":9,"area":null},{"id":"2311.14435","title":"Local Concept Embeddings for Analysis of Concept Distributions in Vision DNN Feature Spaces","created":"2023-11-24","cited_by_count":7,"area":null},{"id":"2305.07663","title":"Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces","created":"2023-04-30","cited_by_count":4,"area":null},{"id":"2103.05112","title":"Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis","created":"2021-03-02","cited_by_count":1,"area":null},{"id":"2408.02123","title":"FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks","created":"2024-08-04","cited_by_count":1,"area":null},{"id":"2509.23849","title":"CE-FAM: Concept-Based Explanation via Fusion of Activation Maps","created":"2025-09-28","cited_by_count":1,"area":null},{"id":"2505.07073","title":"Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering","created":"2025-05-11","cited_by_count":0,"area":null},{"id":"2511.04312","title":"Probing the Probes: Methods and Metrics for Concept Alignment","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2605.10261","title":"E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}