conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7,318 papers

Papers per year

Papers

Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation AAAI 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction AAAI 2024
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024
Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models AAAI 2024
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference AAAI 2024
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education AAAI 2024
Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024
Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges AAAI 2024
Making Natural Language Reasoning Explainable and Faithful AAAI 2024
Towards Robust Visual Understanding: from Recognition to Reasoning AAAI 2024
Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense AAAI 2024
Towards Trustworthy Deep Learning AAAI 2024
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint) AAAI 2024
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024
Symbol Description Reading AAAI 2024
Interactive Mars Image Content-Based Search with Interpretable Machine Learning AAAI 2024
Semi-factual Explanations in AI AAAI 2024
Towards Trustworthy Autonomous Systems via Conversations and Explanations AAAI 2024
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models AAAI 2024