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2020 – today
- 2025
[j7]Xindi Zhao
, Amin Farjudian, Anthony Bellotti:
Pruning convolutional neural networks for inductive conformal prediction. Neurocomputing 611: 128704 (2025)- 2024
- [i4]Yizirui Fang, Anthony Bellotti:
Investigating Data Usage for Inductive Conformal Predictors. CoRR abs/2406.12262 (2024) - 2023
- [j6]Zhiyong Li, Aimin Li, Anthony Bellotti, Xiao Yao:
The profitability of online loans: A competing risks analysis on default and prepayment. Eur. J. Oper. Res. 306(2): 968-985 (2023) - [j5]Haocheng Lei, Anthony Bellotti:
Reliable prediction intervals with directly optimized inductive conformal regression for deep learning. Neural Networks 168: 194-205 (2023) - [i3]Haocheng Lei, Anthony Bellotti:
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning. CoRR abs/2302.00872 (2023) - 2022
- [c5]Zhihao Ying, Anthony Bellotti, Dave Towey, Tsong Yueh Chen, Zhi Quan Zhou:
Using Metamorphic Relation Violation Regions to Support a Simulation Framework for the Process of Metamorphic Testing. COMPSAC 2022: 1722-1727 - [c4]Xindi Zhao, Anthony Bellotti:
Pruning neural networks for inductive conformal prediction. COPA 2022: 273-293 - 2021
- [j4]Zhe Lim, Anthony Bellotti:
Normalized nonconformity measures for automated valuation models. Expert Syst. Appl. 180: 115165 (2021) - [c3]Anthony Bellotti:
Approximation to object conditional validity with inductive conformal predictors. COPA 2021: 4-23 - [i2]Anthony Bellotti:
Approximation to Object Conditional Validity with Conformal Predictors. CoRR abs/2102.07436 (2021) - [i1]Anthony Bellotti:
Optimized conformal classification using gradient descent approximation. CoRR abs/2105.11255 (2021) - 2020
- [c2]Anthony Bellotti:
Constructing normalized nonconformity measures based on maximizing predictive efficiency. COPA 2020: 41-54
2010 – 2019
- 2019
- [j3]Dmitry Adamskiy, Anthony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan:
Aggregating Algorithm for prediction of packs. Mach. Learn. 108(8-9): 1231-1260 (2019) - 2017
- [j2]Anthony Bellotti:
Reliable region predictions for automated valuation models. Ann. Math. Artif. Intell. 81(1-2): 71-84 (2017) - 2016
- [j1]Maha Bakoben, Anthony Bellotti, Niall M. Adams:
Improving clustering performance by incorporating uncertainty. Pattern Recognit. Lett. 77: 28-34 (2016) - [c1]Maha Bakoben, Niall M. Adams, Anthony Bellotti:
Uncertainty Aware Clustering for Behaviour in Enterprise Networks. ICDM Workshops 2016: 269-272
Coauthor Index
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