Gustavo Batista
28 publications
10 venues
H Index 16
Affiliation
University of New South Wales, Sydney, AustraliaUniversity of Sao Paulo, Brazil
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Revisit Time Series Classification Benchmark: The Impact of Temporal Information for Classification.
|
PAKDD | 2025 | 2 |
| Match: A Maximum-Likelihood Approach for Classification under Label Shift.
|
KDD | 2025 | 1 |
| Label Shift Estimation With Incremental Prior Update.
|
SDM | 2025 | 5 |
| Quantification Over Time.
|
ECML/PKDD | 2024 | 0 |
| Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning.
|
ICRA | 2024 | 0 |
| MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification.
|
SDM | 2023 | 5 |
| Accurately Quantifying under Score Variability.
|
ICDM | 2021 | 1 |
| Challenges in benchmarking stream learning algorithms with real-world data.
|
DMKD | 2020 | 164 |
| The Importance of the Test Set Size in Quantification Assessment.
|
IJCAI | 2020 | 8 |
| DyS: A Framework for Mixture Models in Quantification.
|
AAAI | 2019 | 31 |
| One-Class Quantification.
|
ECML/PKDD | 2018 | 10 |
| Classifying and Counting with Recurrent Contexts.
|
KDD | 2018 | 24 |
| Speeding up similarity search under dynamic time warping by pruning unpromising alignments.
|
DMKD | 2018 | 81 |
| Prefix and Suffix Invariant Dynamic Time Warping.
|
ICDM | 2016 | 0 |
| Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation.
|
SDM | 2016 | 125 |
| Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test.
|
KDD | 2016 | 166 |
| An experimental analysis on time series transductive classification on graphs.
|
IJCNN | 2015 | 12 |
| Data Stream Classification Guided by Clustering on Nonstationary Environments and Extreme Verification Latency.
|
SDM | 2015 | 110 |
| Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.
|
IJCNN | 2015 | 16 |
| Automatic classification of drum sounds with indefinite pitch.
|
IJCNN | 2015 | 12 |
| CID: an efficient complexity-invariant distance for time series.
|
DMKD | 2014 | 356 |
| Time Series Classification Using Compression Distance of Recurrence Plots.
|
ICDM | 2013 | 107 |
| DTW-D: time series semi-supervised learning from a single example.
|
KDD | 2013 | 148 |
| Influence of Graph Construction on Semi-supervised Learning.
|
ECML/PKDD | 2013 | 117 |
| Searching and mining trillions of time series subsequences under dynamic time warping.
|
KDD | 2012 | 1095 |
| A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
|
SDM | 2012 | 42 |
| SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.
|
KDD | 2011 | 51 |
| A Complexity-Invariant Distance Measure for Time Series.
|
SDM | 2011 | 343 |