Cover Image

Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karaca, Huseyin, Kozat, Suleyman Serdar
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fitting Multiple Machine Learning Models with Performance Based Clustering
by: Lorasdagi, Mehmet Efe, et al.
Published: (2024)

AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
by: Turali, Mehmet Y., et al.
Published: (2024)

Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals
by: Askari, Sahar, et al.
Published: (2026)

MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
by: Goksu, Huseyin
Published: (2025)

GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
by: Goksu, Huseyin
Published: (2025)

KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
by: Goksu, Huseyin
Published: (2025)

HybSpecNet: A Critical Analysis of Architectural Instability in Hybrid-Domain Spectral GNNs
by: Goksu, Huseyin
Published: (2025)

LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
by: Goksu, Huseyin
Published: (2025)

L-JacobiNet and S-JacobiNet: An Analysis of Adaptive Generalization, Stabilization, and Spectral Domain Trade-offs in GNNs
by: Goksu, Huseyin
Published: (2025)

Differentiable and Learnable Wireless Simulation with Geometric Transformers
by: Hehn, Thomas, et al.
Published: (2024)

A Gradient Boosted Mixed-Model Machine Learning Framework for Vessel Speed in the U.S. Arctic
by: Pant, Mauli, et al.
Published: (2026)

A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
by: Arslan, Muhammad, et al.
Published: (2024)

Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
by: Das, Sourajit, et al.
Published: (2025)

Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform
by: Leiber, Maxime, et al.
Published: (2025)

DualLaguerreNet: A Decoupled Spectral Filter GNN and the Uncovering of the Flexibility-Stability Trade-off
by: Goksu, Huseyin
Published: (2025)

Soft Graph Transformer for MIMO Detection
by: Hong, Jiadong, et al.
Published: (2025)

Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
by: Guney, Osman Berke, et al.
Published: (2023)

Soft Graph Diffusion Transformer for MIMO Detection
by: Jiang, Nan, et al.
Published: (2026)

SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
by: Gufran, Danish, et al.
Published: (2024)

A Novel Approach to WaveNet Architecture for RF Signal Separation with Learnable Dilation and Data Augmentation
by: Tian, Yu, et al.
Published: (2024)

A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition
by: Liu, Jianyu, et al.
Published: (2024)

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics
by: Poland, David J
Published: (2025)

On the Impact of Sampling on Deep Sequential State Estimation
by: Calatrava, Helena, et al.
Published: (2023)

Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction
by: Al-Radhi, Mohammed Salah, et al.
Published: (2026)

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
by: Sartipi, Shadi, et al.
Published: (2024)

Deep Variational Sequential Monte Carlo for High-Dimensional Observations
by: van Nierop, Wessel L., et al.
Published: (2025)

Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
by: Mazzieri, Riccardo, et al.
Published: (2023)

NeRFCom: Feature Transform Coding Meets Neural Radiance Field for Free-View 3D Scene Semantic Transmission
by: Yue, Weijie, et al.
Published: (2025)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering
by: Gao, Zhan, et al.
Published: (2026)

Adaptive Iterative Soft-Thresholding Algorithm with the Median Absolute Deviation
by: Feng, Yining, et al.
Published: (2025)

Multilinear Kernel Regression and Imputation via Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

Gradient Coding in Decentralized Learning for Evading Stragglers
by: Li, Chengxi, et al.
Published: (2024)

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
by: Ghosh, Sucheta, et al.
Published: (2026)

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
by: Chou, Shih-Kai, et al.
Published: (2025)

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion
by: Niresi, Keivan Faghih, et al.
Published: (2024)

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
by: Uslu, Yigit Berkay, et al.
Published: (2025)

Wavelet-Based Feature Extraction and Unsupervised Clustering for Parity Detection: A Feature Engineering Perspective
by: Mutlu, Ertugrul
Published: (2025)

A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction
by: Chen, Wei, et al.
Published: (2024)

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
by: Wang, Kun, et al.
Published: (2020)