Copertina

Robust Prediction Model for Multidimensional and Unbalanced Datasets

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Thakar, Pooja, Mehta, Anil, Manisha
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cluster Model for parsimonious selection of variables and enhancing Students Employability Prediction
di: Thakar, Pooja, et al.
Pubblicazione: (2024)

Unified Prediction Model for Employability in Indian Higher Education System
di: Thakar, Pooja, et al.
Pubblicazione: (2024)

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
di: Gazdieva, Milena, et al.
Pubblicazione: (2024)

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
di: Borazjani, Kasra, et al.
Pubblicazione: (2024)

GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
di: Shah, Arya, et al.
Pubblicazione: (2026)

When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift
di: Mehta, Sushant
Pubblicazione: (2025)

Scalable Simulation-free Entropic Unbalanced Optimal Transport
di: Choi, Jaemoo, et al.
Pubblicazione: (2024)

Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness
di: Yao, Yue, et al.
Pubblicazione: (2025)

Label Unbalance in High-frequency Trading
di: Zhao, Zijian, et al.
Pubblicazione: (2025)

Beyond Surface-Level Similarity: Hierarchical Contamination Detection for Synthetic Training Data in Foundation Models
di: Mehta, Sushant
Pubblicazione: (2025)

Leveraging LSTM for Predictive Modeling of Satellite Clock Bias
di: Bhatt, Ahan, et al.
Pubblicazione: (2024)

Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
di: Mehta, Ritesh, et al.
Pubblicazione: (2024)

Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
di: Prajod, Pooja, et al.
Pubblicazione: (2024)

WFR-MFM: One-Step Inference for Dynamic Unbalanced Optimal Transport
di: Wang, Xinyu, et al.
Pubblicazione: (2026)

Towards Adaptive Deep Learning: Model Elasticity via Prune-and-Grow CNN Architectures
di: Mangal, Pooja, et al.
Pubblicazione: (2025)

Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
di: Sharma, Raghav, et al.
Pubblicazione: (2025)

Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
di: Fathony, Rizal, et al.
Pubblicazione: (2025)

WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport
di: Peng, Qiangwei, et al.
Pubblicazione: (2026)

A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
di: Lee, Gyeong Taek, et al.
Pubblicazione: (2024)

Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat
di: Fang, Xiang, et al.
Pubblicazione: (2020)

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
di: Bao, Jie, et al.
Pubblicazione: (2025)

Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
di: Wang, Haibo, et al.
Pubblicazione: (2025)

GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
di: Ahn, Hyung-il, et al.
Pubblicazione: (2024)

SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
di: Kharazian, Zahra, et al.
Pubblicazione: (2024)

STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
di: Chen, Liyue, et al.
Pubblicazione: (2025)

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
di: Coskunuzer, Baris, et al.
Pubblicazione: (2024)

Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
di: Wu, Wenyi, et al.
Pubblicazione: (2026)

Robust Yet Efficient Conformal Prediction Sets
di: Zargarbashi, Soroush H., et al.
Pubblicazione: (2024)

Certifiably Byzantine-Robust Federated Conformal Prediction
di: Kang, Mintong, et al.
Pubblicazione: (2024)

Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning
di: Sharma, Raghav, et al.
Pubblicazione: (2025)

Scaling Laws and In-Context Learning: A Unified Theoretical Framework
di: Mehta, Sushant, et al.
Pubblicazione: (2025)

Deep Convolutional Neural Networks for predicting highest priority functional group in organic molecules
di: Khatri, Kunal, et al.
Pubblicazione: (2026)

Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
di: Nguyen, Quan, et al.
Pubblicazione: (2024)

One Sample is Enough to Make Conformal Prediction Robust
di: Zargarbashi, Soroush H., et al.
Pubblicazione: (2025)

Robust Conformal Prediction with a Single Binary Certificate
di: Zargarbashi, Soroush H., et al.
Pubblicazione: (2025)

Collaborative Learning-Enhanced Lightweight Models for Predicting Arterial Blood Pressure Waveform in a Large-scale Perioperative Dataset
di: Li, Wentao, et al.
Pubblicazione: (2025)

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
di: Liu, Zeyuan, et al.
Pubblicazione: (2025)

AdaGradSelect: An adaptive gradient-guided layer selection method for efficient fine-tuning of SLMs
di: Kumar, Anshul, et al.
Pubblicazione: (2025)

Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
di: Chen, Yan, et al.
Pubblicazione: (2024)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
di: Zhang, Liang, et al.
Pubblicazione: (2024)