Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation (2024)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: dataset morphing; time series; synthetic data; performance understanding
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 1613-0073
- Conference titles: European Conference on Artificial Intelligence - ECAI
-
ABNT
SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. 2024, Anais.. Aachen: CEUR-WS, 2024. Disponível em: https://ceur-ws.org/Vol-3808/paper4.pdf. Acesso em: 28 fev. 2026. -
APA
Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation. In Proceedings. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-3808/paper4.pdf -
NLM
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2026 fev. 28 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf -
Vancouver
Santos MR dos, Carvalho ACP de LF de, Soares C. Enhancing algorithm performance understanding through tsMorph: generating semi-synthetic time series for robust forecasting evaluation [Internet]. Proceedings. 2024 ;[citado 2026 fev. 28 ] Available from: https://ceur-ws.org/Vol-3808/paper4.pdf - Gabinete pequeno é destaque de pc itautec
- New data strucutre and spanning forest operators for evolutionay algorithms
- Metalearning for context-aware filtering: selection of tensor factorization algorithms
- Evolutionary tuning of SVM parameter values in multiclass problems
- Dimensionality reduction for the algorithm recommendation problem
- Making data stream classification tree-based ensembles lighter
- A study of biclustering coherence measures for gene expression data
- Anomaly detection through temporal abstractions on intensive care data: position paper
- CF4CF: recommending collaborative filtering algorithms using collaborative filtering
- A machine learning-based approach for prediction of plant protection product deposition
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3220077.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
