Cover Image

DETECT: Data-Driven Evaluation of Treatments Enabled by Classification Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Yuanheng, Yang, Lillian, Yang, Stephen, Shao, Ethan, Li, Zihan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluation of Machine and Deep Learning Techniques for Cyclone Trajectory Regression and Status Classification by Time Series Data
by: Lo, Ethan Zachary, et al.
Published: (2025)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework
by: Zhao, Yang, et al.
Published: (2023)

SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
by: Lee, Jake H., et al.
Published: (2025)

Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
by: Ma, Danqing, et al.
Published: (2024)

Enhancing Imbalanced Electrocardiogram Classification: A Novel Approach Integrating Data Augmentation through Wavelet Transform and Interclass Fusion
by: Shao, Haijian, et al.
Published: (2026)

Technical Report: The Graph Spectral Token -- Enhancing Graph Transformers with Spectral Information
by: Pengmei, Zihan, et al.
Published: (2024)

Causal-Driven Feature Evaluation for Cross-Domain Image Classification
by: Cheng, Chen, et al.
Published: (2026)

History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials
by: Guo, Binyao, et al.
Published: (2025)

ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games
by: Shi, Ruochuan, et al.
Published: (2025)

R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
by: Lu, Runyu, et al.
Published: (2025)

IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture
by: Ramani, Varun, et al.
Published: (2024)

CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
by: Fang, Yuanheng, et al.
Published: (2025)

TECM*: A Data-Driven Assessment to Reinforcement Learning Methods and Application to Heparin Treatment Strategy for Surgical Sepsis
by: Liu, Jiang, et al.
Published: (2025)

Practical Transferability Estimation for Image Classification Tasks
by: Tan, Yang, et al.
Published: (2021)

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
by: Yang, Yue, et al.
Published: (2025)

Weather-Aware Transformer for Real-Time Route Optimization in Drone-as-a-Service Operations
by: Mohamed, Kamal, et al.
Published: (2026)

Rethinking Graph Transformer Architecture Design for Node Classification
by: Zhou, Jiajun, et al.
Published: (2024)

FedGT: Federated Node Classification with Scalable Graph Transformer
by: Zhang, Zaixi, et al.
Published: (2024)

Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)

In-Context Reinforcement Learning From Suboptimal Historical Data
by: Dong, Juncheng, et al.
Published: (2026)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
by: Wang, Zhi, et al.
Published: (2024)

Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
by: Liu, Renpu, et al.
Published: (2026)

Classification with Deep Neural Networks and Logistic Loss
by: Zhang, Zihan, et al.
Published: (2023)

A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization
by: Li, Zhehao, et al.
Published: (2025)

Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
by: Chen, Mingzhi, et al.
Published: (2024)

Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification
by: Zhang, Zijian, et al.
Published: (2025)

Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
by: Liu, Junyan, et al.
Published: (2026)

On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
by: Shen, Wei, et al.
Published: (2024)

Data Reconstruction Attacks and Defenses: A Systematic Evaluation
by: Liu, Sheng, et al.
Published: (2024)

Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
by: Lu, Runyu, et al.
Published: (2025)

The Exploration of Error Bounds in Classification with Noisy Labels
by: Liu, Haixia, et al.
Published: (2025)

Optimal Locally Private Nonparametric Classification with Public Data
by: Ma, Yuheng, et al.
Published: (2023)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
by: Yang, Hanxuan, et al.
Published: (2024)

Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data
by: Uniyal, Deepak, et al.
Published: (2026)

Optimization-Driven Adaptive Experimentation
by: Che, Ethan, et al.
Published: (2024)

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
by: Park, Sihyung, et al.
Published: (2025)

An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT
by: Shao, Haikuo, et al.
Published: (2024)

Evaluation of human-model prediction difference on the Internet Scale of Data
by: Liu, Weitang, et al.
Published: (2023)

Designing User-Centric Metrics for Evaluation of Counterfactual Explanations
by: Choudhury, Firdaus Ahmed, et al.
Published: (2025)

Adaptive Degradation Process with Deep Learning-Driven Trajectory
by: Yang, Li
Published: (2021)