{"total":68,"rows":[{"id":"2102.12781","title":"Do Input Gradients Highlight Discriminative Features?","created":"2021-02-25","cited_by_count":52,"area":null},{"id":"2403.14680","title":"Trust in AI: Progress, Challenges, and Future Directions","created":"2024-03-12","cited_by_count":35,"area":null},{"id":"2402.19348","title":"Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook","created":"2024-02-29","cited_by_count":33,"area":null},{"id":"2207.12599","title":"A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics","created":"2022-07-26","cited_by_count":26,"area":null},{"id":"2302.10671","title":"Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations","created":"2023-02-21","cited_by_count":18,"area":null},{"id":"2307.07362","title":"A scoping review on multimodal deep learning in biomedical images and texts","created":"2023-07-14","cited_by_count":13,"area":null},{"id":"2212.13261","title":"Explainable AI for Bioinformatics: Methods, Tools, and Applications","created":"2022-12-25","cited_by_count":11,"area":null},{"id":"2107.01943","title":"When and How to Fool Explainable Models (and Humans) with Adversarial Examples","created":"2021-07-05","cited_by_count":10,"area":null},{"id":"2204.00492","title":"Provable concept learning for interpretable predictions using variational autoencoders","created":"2022-04-01","cited_by_count":9,"area":null},{"id":"2309.08035","title":"Interpretability-Aware Vision Transformer","created":"2023-09-14","cited_by_count":8,"area":null},{"id":"2110.02484","title":"Shapley variable importance clouds for interpretable machine learning","created":"2021-10-06","cited_by_count":7,"area":null},{"id":"2209.11607","title":"I-SPLIT: Deep Network Interpretability for Split Computing","created":"2022-09-23","cited_by_count":7,"area":null},{"id":"2303.09817","title":"Interpretable machine learning for time-to-event prediction in medicine and healthcare","created":"2023-03-17","cited_by_count":7,"area":null},{"id":"2108.10717","title":"Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence","created":"2021-08-20","cited_by_count":6,"area":null},{"id":"2306.04025","title":"Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making","created":"2023-06-06","cited_by_count":6,"area":null},{"id":"2112.04698","title":"Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges","created":"2021-12-09","cited_by_count":5,"area":null},{"id":"2207.00812","title":"A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data","created":"2022-07-02","cited_by_count":5,"area":null},{"id":"2303.03511","title":"Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?","created":"2023-03-06","cited_by_count":5,"area":null},{"id":"2307.09225","title":"Human Body Digital Twin: A Master Plan","created":"2023-07-18","cited_by_count":5,"area":null},{"id":"2409.09497","title":"Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2602.04990","title":"Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives","created":"2026-02-04","cited_by_count":4,"area":null},{"id":"2105.10368","title":"Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble Trees","created":"2021-05-21","cited_by_count":3,"area":null},{"id":"2203.04303","title":"Policy Regularization for Legible Behavior","created":"2022-03-08","cited_by_count":3,"area":null},{"id":"2312.10094","title":"Evaluative Item-Contrastive Explanations in Rankings","created":"2023-12-14","cited_by_count":3,"area":null},{"id":"2407.03515","title":"Fast Calculation of Feature Contributions in Boosting Trees","created":"2024-07-03","cited_by_count":3,"area":null},{"id":"2412.10967","title":"Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0","created":"2024-12-14","cited_by_count":3,"area":null},{"id":"2107.07483","title":"Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems","created":"2021-07-15","cited_by_count":2,"area":null},{"id":"2108.11674","title":"Graph-guided random forest for gene set selection","created":"2021-08-26","cited_by_count":2,"area":null},{"id":"2202.04527","title":"Explainable Predictive Modeling for Limited Spectral Data","created":"2022-02-09","cited_by_count":2,"area":null},{"id":"2209.15398","title":"Evaluation of importance estimators in deep learning classifiers for Computed Tomography","created":"2022-09-30","cited_by_count":2,"area":null},{"id":"2303.09041","title":"A Multimodal Data-driven Framework for Anxiety Screening","created":"2023-03-16","cited_by_count":2,"area":null},{"id":"2305.02474","title":"MLHOps: Machine Learning for Healthcare Operations","created":"2023-05-04","cited_by_count":2,"area":null},{"id":"2504.02793","title":"A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2505.13418","title":"Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2107.10657","title":"Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary","created":"2021-07-16","cited_by_count":1,"area":null},{"id":"2203.13038","title":"Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms","created":"2022-03-24","cited_by_count":1,"area":null},{"id":"2205.02803","title":"Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG Data","created":"2022-05-05","cited_by_count":1,"area":null},{"id":"2208.11404","title":"Augmented cross-selling through explainable AI -- a case from energy retailing","created":"2022-08-24","cited_by_count":1,"area":null},{"id":"2209.11174","title":"SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2308.16585","title":"Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study","created":"2023-08-31","cited_by_count":1,"area":null},{"id":"2405.04897","title":"Machine Learning-based NLP for Emotion Classification on a Cholera X Dataset","created":"2024-05-08","cited_by_count":1,"area":null},{"id":"2412.10337","title":"Generative AI in Medicine","created":"2024-12-13","cited_by_count":1,"area":null},{"id":"2503.03129","title":"Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2506.19035","title":"Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions","created":"2025-06-23","cited_by_count":1,"area":null},{"id":"2507.06819","title":"Comprehensive Evaluation of Prototype Neural Networks","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2111.05937","title":"Recent Advances in Automated Question Answering In Biomedical Domain","created":"2021-11-10","cited_by_count":0,"area":null},{"id":"2211.03282","title":"Performance and utility trade-off in interpretable sleep staging","created":"2022-11-07","cited_by_count":0,"area":null},{"id":"2211.12002","title":"Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2302.01407","title":"Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2","created":"2023-02-02","cited_by_count":0,"area":null},{"id":"2305.19837","title":"EAMDrift: An interpretable self retrain model for time series","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2306.03980","title":"Counterfactual Explanations and Predictive Models to Enhance Clinical Decision-Making in Schizophrenia using Digital Phenotyping","created":"2023-06-06","cited_by_count":0,"area":null},{"id":"2311.14139","title":"Machine Learning For An Explainable Cost Prediction of Medical Insurance","created":"2023-11-23","cited_by_count":0,"area":null},{"id":"2402.15561","title":"Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2405.11672","title":"Review of Interpretable Machine Learning Models for Disease Prognosis","created":"2024-05-19","cited_by_count":0,"area":null},{"id":"2406.00532","title":"Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques","created":"2024-06-01","cited_by_count":0,"area":null},{"id":"2502.01806","title":"Toward Neurosymbolic Program Comprehension","created":"2025-02-03","cited_by_count":0,"area":null},{"id":"2502.20243","title":"The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2505.06620","title":"Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2505.14926","title":"Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2506.20347","title":"Emergent Granger Causality in Neural Networks: Can Prediction Alone Reveal Structure?","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2510.10753","title":"Restricted Receptive Fields for Face Verification","created":"2025-10-12","cited_by_count":0,"area":null},{"id":"2510.19040","title":"Empowering Decision Trees via Shape Function Branching","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2510.19893","title":"EQPO: Equitable Group Relative Policy Optimization for Clinical Reasoning","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2511.07011","title":"Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2511.14317","title":"Intervention Efficiency and Perturbation Validation Framework: Capacity-Aware and Robust Clinical Model Selection under the Rashomon Effect","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2602.11360","title":"Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2606.24348","title":"A Step Towards Inherently Interpretable Causal Machine Learning Models For Decision Support","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2608.23817","title":"A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification","created":"2026-08-24","cited_by_count":0,"area":null}],"next_cursor":null}