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explainable model

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explainable ai (4) neural network (3) interpretable model (3) decision tree (3) graph neural network (2) symbolic regression (2) model explanation (2) deep learning (2) feature importance (2) interpretable machine learning (2)

Papers

Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science AAAI 2026 BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology CVPR 2025 Explainable Speech Emotion Recognition Through Attentive Pooling: Insights from Attention-Based Temporal Localization Interspeech 2025 Neural Reasoning for Sure Through Constructing Explainable Models AAAI 2025 ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering EMNLP 2025 Speech Act Patterns for Improving Generalizability of Explainable Politeness Detection Models ACL 2025 Explainable Earnings Call Representation Learning (Student Abstract) AAAI 2024 Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces NeurIPS 2024 Interpretable Mesomorphic Networks for Tabular Data NeurIPS 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Symbolic Regression Enhanced Decision Trees for Classification Tasks AAAI 2024 Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling AAAI 2024 A Loopback Network for Explainable Microvascular Invasion Classification CVPR 2023 Symbolic Explanations for Hyperparameter Optimization AutoML 2023 A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 Explainable Planner Selection for Classical Planning AAAI 2022 Explaining Deep Tractable Probabilistic Models: The sum-product network case PGM 2022 Learning explainable templated graphical models UAI 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification ACL 2021 HIVE: Hierarchical Information Visualization for Explainability IJCAI 2021 Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health EMNLP 2021 xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem NAACL 2021 Context-based Automated Scoring of Complex Mathematical Responses ACL 2020 ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract) AAAI 2020