:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barboza, Eduardo V. L., de Almeida, Paulo R. Lisboa, Britto Jr, Alceu de Souza, Cruz, Rafael M. O.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2307.00106
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift
by: Barboza, Eduardo V. L., et al.
Published: (2025)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
by: Garcia, Cristiano M., et al.
Published: (2024)

Methods for Generating Drift in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)

Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)

Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review
by: Garcia, Cristiano Mesquita, et al.
Published: (2023)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models
by: Laurensi, Israel A., et al.
Published: (2024)

Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers
by: Alves, Paulo Luza, et al.
Published: (2024)

Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities
by: Menon, Luciana Trinkaus, et al.
Published: (2024)

Maintaining Difficulty: A Margin Scheduler for Triplet Loss in Siamese Networks Training
by: Tomchak, Roberto Sprengel Minozzo, et al.
Published: (2026)

Using Deep Neural Networks to Quantify Parking Dwell Time
by: Ribas, Marcelo Eduardo Marques, et al.
Published: (2024)

Offline Handwritten Signature Verification Using a Stream-Based Approach
by: de Moura, Kecia G., et al.
Published: (2024)

Back to the Basics on Predicting Transfer Performance
by: Chaves, Levy, et al.
Published: (2024)

Streaming Bayes GFlowNets
by: da Silva, Tiago, et al.
Published: (2024)

Vehicle Occurrence-based Parking Space Detection
by: de Almeida, Paulo R. Lisboa, et al.
Published: (2023)

Music Genre Classification using Large Language Models
by: Meguenani, Mohamed El Amine, et al.
Published: (2024)

Comparing Normalization Methods for Portfolio Optimization with Reinforcement Learning
by: Costa, Caio de Souza Barbosa, et al.
Published: (2025)

Learning Distances from Data with Normalizing Flows and Score Matching
by: Sorrenson, Peter, et al.
Published: (2024)

Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization
by: Demidovich, Yury, et al.
Published: (2026)

Neural Normalized Compression Distance and the Disconnect Between Compression and Classification
by: Hurwitz, John, et al.
Published: (2024)

Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
by: Hilger, Hannes, et al.
Published: (2023)

Reward Distance Comparisons Under Transition Sparsity
by: Nyanhongo, Clement, et al.
Published: (2025)

Label-free estimation of clinically relevant performance metrics under distribution shifts
by: Flühmann, Tim, et al.
Published: (2025)

MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines
by: Jalalian, Hesam, et al.
Published: (2024)

Vulnerable Road User Detection and Safety Enhancement: A Comprehensive Survey
by: Silva, Renato M., et al.
Published: (2024)

PIPES: A Meta-dataset of Machine Learning Pipelines
by: Maia, Cynthia Moreira, et al.
Published: (2025)

Spooky Action at a Distance: Normalization Layers Enable Side-Channel Spatial Communication
by: Pfrommer, Samuel, et al.
Published: (2025)

Efficient Streaming Voice Steganalysis in Challenging Detection Scenarios
by: Zhou, Pengcheng, et al.
Published: (2024)

Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
by: Xu, Xiaoyang, et al.
Published: (2025)

StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
by: Chaves, Anderson, et al.
Published: (2024)

Improving accuracy in short mortality rate series: Exploring Multi-step Forecasting Approaches in Hybrid Systems
by: Duarte, Filipe C. L., et al.
Published: (2025)

Overcoming the Challenges of Batch Normalization in Federated Learning
by: Guerraoui, Rachid, et al.
Published: (2024)

ANAct: Adaptive Normalization for Activation Functions
by: Peiwen, Yuan, et al.
Published: (2022)

Context-free Self-Conditioned GAN for Trajectory Forecasting
by: de Almeida, Tiago Rodrigues, et al.
Published: (2026)

Efficient Distribution Learning with Error Bounds in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2026)

Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)

XAI for Skin Cancer Detection with Prototypes and Non-Expert Supervision
by: Correia, Miguel, et al.
Published: (2024)

Leveraging the Christoffel Function for Outlier Detection in Data Streams
by: Ducharlet, Kévin, et al.
Published: (2025)

Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios
by: Aderinola, Timilehin B., et al.
Published: (2025)

Conformal prediction for frequency-severity modeling
by: Graziadei, Helton, et al.
Published: (2023)