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Publication search results
found 222 matches
- 2024
- Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Gradient boosted trees for evolving data streams. Mach. Learn. 113(5): 3325-3352 (2024) - Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113(1): 121-158 (2024) - Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Adaptive Prediction Interval for Data Stream Regression. PAKDD (3) 2024: 130-141 - 2023
- Mi Li, Eibe Frank, Bernhard Pfahringer:
Large scale K-means clustering using GPUs. Data Min. Knowl. Discov. 37(1): 67-109 (2023) - Jesus Antonanzas, Yunzhe Jia, Eibe Frank, Albert Bifet, Bernhard Pfahringer:
teex: A toolbox for the evaluation of explanations. Neurocomputing 555: 126642 (2023) - Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Trans. Netw. Serv. Manag. 20(3): 3038-3054 (2023) - Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CIKM 2023: 4038-4042 - Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes:
Self-trained Centroid Classifiers for Semi-supervised Cross-domain Few-shot Learning. CoLLAs 2023: 481-492 - Nuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
Survey on Online Streaming Continual Learning. IJCAI 2023: 6628-6637 - Anton Lee, Yaqian Zhang, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning. CoRR abs/2310.20052 (2023) - 2022
- Felipe Bravo-Marquez, Arun Khanchandani, Bernhard Pfahringer:
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction. Cogn. Comput. 14(1): 425-441 (2022) - Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet:
SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams. Data Min. Knowl. Discov. 36(5): 2006-2032 (2022) - Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci:
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606: 702-721 (2022) - Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes, Vithya Yogarajan:
Multiclass Malware Classification Using Either Static Opcodes or Dynamic API Calls. AI 2022: 427-441 - Attaullah Sahito, Eibe Frank, Bernhard Pfahringer:
Better Self-training for Image Classification Through Self-supervision. AI 2022: 645-657 - Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer:
Predicting COVID-19 Patient Shielding: A Comprehensive Study. AI 2022: 332-343 - Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Adaptive Neural Networks for Online Domain Incremental Continual Learning. DS 2022: 89-103 - Hongyu Wang, Huon Fraser, Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes:
Experiments in Cross-domain Few-shot Learning for Image Classification: Extended Abstract. Meta-Knowledge Transfer @ ECML/PKDD 2022: 81-83 - Rajchada Chanajitt, Bernhard Pfahringer, Heitor Murilo Gomes:
A Comparison of Neural Network Architectures for Malware Classification Based on Noriben Operation Sequences. ICANN (1) 2022: 428-440 - Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer:
Adaptive Online Domain Incremental Continual Learning. ICANN (1) 2022: 491-502 - Vithya Yogarajan, Bernhard Pfahringer, Tony Smith, Jacob Montiel:
Concatenating BioMed-Transformers to Tackle Long Medical Documents and to Improve the Prediction of Tail-End Labels. ICANN (2) 2022: 209-221 - Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Online Hyperparameter Optimization for Streaming Neural Networks. IJCNN 2022: 1-9 - Chen Zheng, Bernhard Pfahringer, Michael Mayo:
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks. IJCNN 2022: 1-8 - Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia:
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. NeurIPS 2022 - Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. CoRR abs/2201.06205 (2022) - Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes:
Cross-domain Few-shot Meta-learning Using Stacking. CoRR abs/2205.05831 (2022) - Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia:
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal. CoRR abs/2209.13917 (2022) - 2021
- Guilherme Weigert Cassales, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, Hermes Senger:
Improving the performance of bagging ensembles for data streams through mini-batching. Inf. Sci. 580: 260-282 (2021) - Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier Chains: A Review and Perspectives. J. Artif. Intell. Res. 70: 683-718 (2021) - Henry Gouk, Eibe Frank, Bernhard Pfahringer, Michael J. Cree:
Regularisation of neural networks by enforcing Lipschitz continuity. Mach. Learn. 110(2): 393-416 (2021)
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