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Teddy Lazebnik

Interpretable Transformation and Analysis of Timelines through Learning via Surprisability

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Mar 06, 2025
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Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method

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Feb 25, 2025
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Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation

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Jan 30, 2025
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An Empirically-parametrized Spatio-Temporal Extended-SIR Model for Combined Dilution and Vaccination Mitigation for Rabies Outbreaks in Wild Jackals

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Jan 26, 2025
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Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models

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Jan 07, 2025
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Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning

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Dec 18, 2024
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Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift

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Dec 12, 2024
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Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models

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Sep 16, 2024
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A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets

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Aug 27, 2024
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Introducing 'Inside' Out of Distribution

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Jul 05, 2024
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