Gustavo Batista
20 publications
9 venues
H Index 12
Affiliation
University of New South Wales, Sydney, AustraliaUniversity of Sao Paulo, Brazil
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning.
|
ICRA | 2024 | 0 |
| Quantification Over Time.
|
ECML/PKDD | 2024 | 0 |
| MC-SQ: A Highly Accurate Ensemble for Multi-class Quantification.
|
SDM | 2023 | 0 |
| Accurately Quantifying under Score Variability.
|
ICDM | 2021 | 1 |
| Challenges in benchmarking stream learning algorithms with real-world data.
|
DMKD | 2020 | 49 |
| The Importance of the Test Set Size in Quantification Assessment.
|
IJCAI | 2020 | 6 |
| DyS: A Framework for Mixture Models in Quantification.
|
AAAI | 2019 | 15 |
| Speeding up similarity search under dynamic time warping by pruning unpromising alignments.
|
DMKD | 2018 | 4 |
| Classifying and Counting with Recurrent Contexts.
|
KDD | 2018 | 17 |
| One-Class Quantification.
|
ECML/PKDD | 2018 | 8 |
| Speeding Up All-Pairwise Dynamic Time Warping Matrix Calculation.
|
SDM | 2016 | 108 |
| Prefix and Suffix Invariant Dynamic Time Warping.
|
ICDM | 2016 | 0 |
| Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test.
|
KDD | 2016 | 89 |
| An experimental analysis on time series transductive classification on graphs.
|
IJCNN | 2015 | 12 |
| CID: an efficient complexity-invariant distance for time series.
|
DMKD | 2014 | 279 |
| Influence of Graph Construction on Semi-supervised Learning.
|
ECML/PKDD | 2013 | 106 |
| DTW-D: time series semi-supervised learning from a single example.
|
KDD | 2013 | 97 |
| A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets.
|
SDM | 2012 | 38 |
| SIGKDD demo: sensors and software to allow computational entomology, an emerging application of data mining.
|
KDD | 2011 | 44 |
| A Complexity-Invariant Distance Measure for Time Series.
|
SDM | 2011 | 301 |