Cover Image

Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Rodríguez-Salas, Dalia
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence 68T07 (Primary) 62H30, 68T05 (Secondary)
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph Neural Networks for Brain Graph Learning: A Survey
by: Luo, Xuexiong, et al.
Published: (2024)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
by: Abtahi, Farhad, et al.
Published: (2025)

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
by: Anderberg, Alastair, et al.
Published: (2024)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
by: Slessor, Jordan, et al.
Published: (2024)

Evaluating Embedding Generalization: How LLMs, LoRA, and SLERP Shape Representational Geometry
by: Kabane, Siyaxolisa
Published: (2025)

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis
by: Shevtekar, Sumit S, et al.
Published: (2025)

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
by: Liu, Jun, et al.
Published: (2026)

Structural Incompatibility of Differentiable Sorting and Within-Vector Rank Normalization
by: Kim, Taeyun
Published: (2025)

Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
by: Tuononen, Marko, et al.
Published: (2025)

ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)

Neural Networks Learn Distance Metrics
by: Oursland, Alan
Published: (2025)

SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection
by: Tubati, Sudheer, et al.
Published: (2026)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Supervised Time Series Classification for Anomaly Detection in Subsea Engineering
by: Çokaj, Ergys, et al.
Published: (2024)

How many samples to label for an application given a foundation model? Chest X-ray classification study
by: Nechaev, Nikolay, et al.
Published: (2025)

A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification
by: Majhi, Sushovan, et al.
Published: (2026)

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
by: Chen, Jiandong, et al.
Published: (2026)

MEG-to-MEG Transfer Learning and Cross-Task Speech/Silence Detection with Limited Data
by: de Zuazo, Xabier, et al.
Published: (2026)

Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
by: Fokoué, Ernest
Published: (2026)

A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
by: Luisto, Rami
Published: (2026)

AMBIT: Augmenting Mobility Baselines with Interpretable Trees
by: Wang, Qizhi
Published: (2025)

Statistical Properties of Deep Neural Networks with Dependent Data
by: Brown, Chad
Published: (2024)

Enhanced Fish Freshness Classification with Incremental Handcrafted Feature Fusion
by: Hoang, Phi-Hung, et al.
Published: (2025)

ASNN: Learning to Suggest Neural Architectures from Performance Distributions
by: Hong, Jinwook
Published: (2025)

Scalable Posterior Uncertainty for Flexible Density-Based Clustering
by: Bariletto, Nicola, et al.
Published: (2026)

Time Aggregation Features for XGBoost Models
by: Pinchuk, Mykola
Published: (2026)

A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
by: Kim, Abiel
Published: (2025)

Neural Bayes estimation and selection for complex bivariate extremal dependence models
by: André, Lídia M., et al.
Published: (2025)

iLTM: Integrated Large Tabular Model
by: Bonet, David, et al.
Published: (2025)

Two approaches to multiple canonical correlation analysis for repeated measures data
by: Górecki, Tomasz, et al.
Published: (2025)

Neuro-Symbolic Process Anomaly Detection
by: Gaikwad, Devashish, et al.
Published: (2026)

A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury
by: Sharma, Akul, et al.
Published: (2025)

Clinical Data Goes MEDS? Let's OWL make sense of it
by: Marfoglia, Alberto, et al.
Published: (2026)

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
by: Mostafa, Fahad, et al.
Published: (2025)

WTNN: Weibull-Tailored Neural Networks for survival analysis
by: Rives, Gabrielle, et al.
Published: (2025)

Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
by: Tissera, Dumindu, et al.
Published: (2025)

Kernel Limit for a Class of Recurrent Neural Networks Trained on Ergodic Data Sequences
by: Lam, Samuel Chun-Hei, et al.
Published: (2023)

Convergence Analysis of Real-time Recurrent Learning (RTRL) for a class of Recurrent Neural Networks
by: Lam, Samuel Chun-Hei, et al.
Published: (2025)

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity
by: Fokoué, Ernest
Published: (2026)

Flexible and efficient emulation of spatial extremes processes via variational autoencoders
by: Zhang, Likun, et al.
Published: (2023)