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Unlocking Drug Synergy: A New AI Framework Reveals Molecular Secrets for Better Therapies

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Decoding Human Feedback: A New Approach to Understanding Language Model Preferences

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Decoding High-Dimensional Biomedical Data: An Interpretable AI Approach

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LIFT: Enhancing Truck Safety with Interpretable AI and Domain Knowledge

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ProtoEEG-kNN: An Interpretable AI Model for Epilepsy Diagnosis

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Making AI Decisions Clearer: Scalable Tree Optimization

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Uncovering Hidden Faults: OracleAD’s Interpretable Anomaly Detection for Complex Systems

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Advancing Heart Health Prediction with AI: Integrating Genetics and ECG Data Using Language Models

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ProtoSiTex: Explaining AI Decisions in User Reviews with Fine-Grained Prototypes

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Beyond Prediction: Tracing the Pathways of Disease with Chain-of-Influence AI

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CLMN: A New Approach to Interpretable Language Models Through Neural-Symbolic Reasoning

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FIRE: A New Framework for Clearer and Stronger Time Series Predictions

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Unlocking Student Learning Satisfaction: An AI-Driven Analysis of Key Influencers

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AI-Guided Discovery of Mathematical Laws from Data

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AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment

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Clearer AI in Medicine: Unit-Aware Thresholds with Symbolic Regression

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Guaranteed Compression for Interpretable Neural Networks with PolyKAN

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A New Approach to Interpretable Machine Learning: Multiplicative-Additive Models

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Interpreting Neural Operators: Uncovering Hidden Physics and Enhancing Learning

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Unlocking Personality: A New Framework for Text-Based Assessment from Social Media

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Next-Generation Recommendations: Adapting LLMs to Evolving Preferences and Rich Media

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Crafting Smarter Control Systems: A New Approach with AI and Optimization

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DeepFHT: Interpretable Survival Analysis Through Latent Diffusion Processes

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Fuzzformer: A New Approach to Clear and Accurate Stock Market Predictions

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A New Approach to Automate Research Paper Selection for Systematic Reviews

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