Cover Image

Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	González, Adolfo, Parada, Víctor
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Performance 62M10, 90C59, 68T05 I.2.6; I.5.1; I.5.2; I.5.4; G.1.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
by: Abedinia, Aydin, et al.
Published: (2025)

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)

Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
by: Wang, Yin, et al.
Published: (2025)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

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

Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
by: López, Francisco, et al.
Published: (2025)

Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
by: Di Santi, Eduardo, et al.
Published: (2025)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
by: Maity, Subhajit, et al.
Published: (2025)

Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
by: Riccio, Donato, et al.
Published: (2024)

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)

Inductive transfer learning from regression to classification in ECG analysis
by: Jayasundara, Ridma, et al.
Published: (2025)

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
by: Ho, Siu Hang, et al.
Published: (2025)

BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
by: Rajani, Hayat, et al.
Published: (2025)

Universal consistency of the $k$-NN rule in metric spaces and Nagata dimension. III
by: Pestov, Vladimir G.
Published: (2025)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
by: Kurbucz, Marcell T., et al.
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

Streaming Anchor Loss: Augmenting Supervision with Temporal Significance
by: Sarawgi, Utkarsh Oggy, et al.
Published: (2023)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

KinetiDiff: Docking-Guided Diffusion for De Novo ACVR1 Inhibitor Design in Fibrodysplasia Ossificans Progressiva
by: Patel, Aaryan
Published: (2026)

Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
by: Mysore, Naveen
Published: (2026)

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
by: Perazzolo, Diego, et al.
Published: (2025)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)

Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)

Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025)

Is Cambodia the World's Largest Cashew Producer?
by: Chaya, Veasna, et al.
Published: (2024)

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
by: Sutton, Matthew, et al.
Published: (2026)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)