Time Aggregation Features for XGBoost Models
Fuente:
arXiv
Saved in:
| Main Author: | Pinchuk, Mykola |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
AMBIT: Augmenting Mobility Baselines with Interpretable Trees
by: Wang, Qizhi
Published: (2025)
by: Wang, Qizhi
Published: (2025)
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
by: Degen, Isabella, et al.
Published: (2025)
by: Degen, Isabella, et al.
Published: (2025)
GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning
by: Lundqvist, Theodor, et al.
Published: (2025)
by: Lundqvist, Theodor, et al.
Published: (2025)
Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
by: Maturo, Fabrizio, et al.
Published: (2024)
by: Maturo, Fabrizio, et al.
Published: (2024)
Adaptive Machine Learning for Resource-Constrained Environments
by: Ordóñez, Sebastián A. Cajas, et al.
Published: (2025)
by: Ordóñez, Sebastián A. Cajas, et al.
Published: (2025)
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)
by: Manokhin, Valery, et al.
Published: (2026)
Robust Taxi Fare Prediction Under Noisy Conditions: A Comparative Study of GAT, TimesNet, and XGBoost
by: Moorthy, Padmavathi
Published: (2025)
by: Moorthy, Padmavathi
Published: (2025)
A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
by: Bandyopadhyay, Subhadip, et al.
Published: (2025)
by: Bandyopadhyay, Subhadip, et al.
Published: (2025)
MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)
by: Alagöz, Celal, et al.
Published: (2026)
Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
by: Liu, Jun, et al.
Published: (2026)
by: Liu, Jun, et al.
Published: (2026)
Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)
by: Sergeev, Fedor, et al.
Published: (2025)
Multiple data-driven missing imputation
by: Kavun, Sergii
Published: (2025)
by: Kavun, Sergii
Published: (2025)
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
by: MacKinlay, Dan, et al.
Published: (2024)
by: MacKinlay, Dan, et al.
Published: (2024)
Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis
by: Liu, Ning-Yuan Georgia, et al.
Published: (2025)
by: Liu, Ning-Yuan Georgia, et al.
Published: (2025)
Urban Spatio-Temporal Foundation Models for Climate-Resilient Housing: Scaling Diffusion Transformers for Disaster Risk Prediction
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
Toward precision soil health: A regional framework for site-specific management across Missouri
by: Shah, Dipal, et al.
Published: (2025)
by: Shah, Dipal, et al.
Published: (2025)
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
by: Tuononen, Marko, et al.
Published: (2025)
by: Tuononen, Marko, et al.
Published: (2025)
Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning
by: Arafat, Jahidul
Published: (2025)
by: Arafat, Jahidul
Published: (2025)
Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
by: Ožbot, Miha, et al.
Published: (2025)
by: Ožbot, Miha, et al.
Published: (2025)
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
by: Kannan, Kamala Devi, et al.
Published: (2024)
by: Kannan, Kamala Devi, et al.
Published: (2024)
Uniqueness ratio as a predictor of a privacy leakage
by: AlKhashti, Danah A. AlSalem
Published: (2025)
by: AlKhashti, Danah A. AlSalem
Published: (2025)
Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems
by: Mastriani, Emilio, et al.
Published: (2026)
by: Mastriani, Emilio, et al.
Published: (2026)
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
by: Osorio-Marulanda, Pablo A., et al.
Published: (2024)
by: Osorio-Marulanda, Pablo A., et al.
Published: (2024)
MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
by: de Zuazo, Xabier, et al.
Published: (2026)
by: de Zuazo, Xabier, et al.
Published: (2026)
From Street Form to Spatial Justice: Explaining Urban Exercise Inequality via a Triadic SHAP-Informed Framework
by: Zhao, Minwei, et al.
Published: (2025)
by: Zhao, Minwei, et al.
Published: (2025)
Unified Interaction Foundational Model (UIFM) for Predicting Complex User and System Behavior
by: Ethiraj, Vignesh, et al.
Published: (2025)
by: Ethiraj, Vignesh, et al.
Published: (2025)
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
by: Luzio, Emanuele, et al.
Published: (2025)
by: Luzio, Emanuele, et al.
Published: (2025)
ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)
by: Luo, Yiran, et al.
Published: (2025)
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
by: Heinrichs, Florian
Published: (2024)
by: Heinrichs, Florian
Published: (2024)
Imbalanced malware classification: an approach based on dynamic classifier selection
by: Souza, J. V. S., et al.
Published: (2025)
by: Souza, J. V. S., et al.
Published: (2025)
A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)
by: Heidrich, Mario, et al.
Published: (2026)
Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES
by: Foulon, Chris, et al.
Published: (2024)
by: Foulon, Chris, et al.
Published: (2024)
Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement Learning
by: Mysore, Naveen
Published: (2026)
by: Mysore, Naveen
Published: (2026)
AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
by: Arafat, Jahidul, et al.
Published: (2025)
by: Arafat, Jahidul, et al.
Published: (2025)
iLTM: Integrated Large Tabular Model
by: Bonet, David, et al.
Published: (2025)
by: Bonet, David, et al.
Published: (2025)
RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles
by: Obregon, Josue
Published: (2026)
by: Obregon, Josue
Published: (2026)
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
by: Wette, Sebastian, et al.
Published: (2024)
by: Wette, Sebastian, et al.
Published: (2024)
Pixel-Wise Multimodal Contrastive Learning for Remote Sensing Images
by: Stival, Leandro, et al.
Published: (2026)
by: Stival, Leandro, et al.
Published: (2026)
Similar Items
-
Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026) -
AMBIT: Augmenting Mobility Baselines with Interpretable Trees
by: Wang, Qizhi
Published: (2025) -
CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
by: Degen, Isabella, et al.
Published: (2025) -
GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning
by: Lundqvist, Theodor, et al.
Published: (2025) -
Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)