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Stochastic Deep Learning: A Probabilistic Framework for Modeling Uncertainty in Structured Temporal Data
Rice, James

Machine Learning Econometrics Statistics Theory

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Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
Liu, Shunqi ; Qiu, Han ; Wang, Tong

Machine Learning Artificial Intelligence Quantitative Methods

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XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators
Yousuf, Osama ; Glasmann, Andreu L. ; Lueker-Boden, Martin ; et al.

Emerging Technologies Artificial Intelligence Machine Learning

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Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling
Mishra, Akshansh

Machine Learning Materials Science Artificial Intelligence Computational Engineerin...

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Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
Bhadana, Ritesh

Machine Learning Artificial Intelligence Hardware Architecture Image and Video Processi... I.2.6; I.5.1; J.6; I.4.6...

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Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series
Panja, Madhurima ; Younes, Grace ; Chakraborty, Tanujit

Machine Learning Chaotic Dynamics Data Analysis, Statistic...

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Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction
Khatibi, Toktam

Machine Learning Quantitative Methods

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Multi Objective Design Optimization of Non Pneumatic Passenger Car Tires Using Finite Element Modeling, Machine Learning, and Particle swarm Optimization and Bayesian Optimization Algorithms
Dhrangdhariya, Priyankkumar ; Maiti, Soumyadipta ; Runkana, Venkataramana

Machine Learning Artificial Intelligence

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Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
Bonacorsi, Nicolò ; Bordoni, Matteo

Machine Learning Probability Statistics Theory Applications 62F15(Primary), 60G40 62... G.3; I.2.6; I.6.8

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Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts
Yang, Yiyao

Genomics Machine Learning

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TabMixNN: A Unified Deep Learning Framework for Structural Mixed Effects Modeling on Tabular Data
Akdemir, Deniz

Machine Learning Computation Methodology

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Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data
Xie, Anzhuo ; Chang, Wei-Chen

Machine Learning

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Automotive Crash Dynamics Modeling Accelerated with Machine Learning
Nabian, Mohammad Amin ; Chavare, Sudeep ; Akhare, Deepak ; et al.

Machine Learning Artificial Intelligence Numerical Analysis Applied Physics Computational Physics

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