Uncertainty Aware Clustering for Behaviour in Enterprise Networks. - Maha Bakoben; Niall M. Adams; Anthony Bellotti (ICDM Workshops, 2016)

Improving clustering performance by incorporating uncertainty. - Maha Bakoben; Anthony Bellotti; Niall M. Adams (Pattern Recognit. Lett., 2016)

Reliable region predictions for automated valuation models. - Anthony Bellotti (Ann. Math. Artif. Intell., 2017)

Aggregating Algorithm for prediction of packs. - Dmitry Adamskiy; Anthony Bellotti; Raisa Dzhamtyrova; Yuri Kalnishkan (Mach. Learn., 2019)

Constructing normalized nonconformity measures based on maximizing predictive efficiency. - Anthony Bellotti (COPA, 2020)

PBMC Cell Classification from Single Cell mRNA Expression by Artificial Neural Networks, Profiles, Gene Markers, and Protein Markers. - Minjie Lyu; Yihan Zhang 003; Luning Yang; Xin Lin; Yilin Li; Huan Jin; Anthony Graham Bellotti; Nenad S. Mitic; Vladimir Brusic (BIBM, 2021)

Approximation to object conditional validity with inductive conformal predictors. - Anthony Bellotti (COPA, 2021)

Approximation to Object Conditional Validity with Conformal Predictors. - Anthony Bellotti (CoRR, 2021)

Optimized conformal classification using gradient descent approximation. - Anthony Bellotti (CoRR, 2021)

Normalized nonconformity measures for automated valuation models. - Zhe Lim; Anthony Bellotti (Expert Syst. Appl., 2021)

Using Metamorphic Relation Violation Regions to Support a Simulation Framework for the Process of Metamorphic Testing. - Zhihao Ying; Anthony Bellotti; Dave Towey; Tsong Yueh Chen; Zhi Quan Zhou 001 (COMPSAC, 2022)

Pruning neural networks for inductive conformal prediction. - Xindi Zhao; Anthony Bellotti (COPA, 2022)

The profitability of online loans: A competing risks analysis on default and prepayment. - Zhiyong Li 011; Aimin Li; Anthony Bellotti; Xiao Yao (Eur. J. Oper. Res., 2023)

Chinese corporate fraud risk assessment with machine learning. - Qingyang Lu; Chuyan Fu; Kailiang Nan; Yichu Fang; Jialue Xu; Jinyao Liu; Anthony Graham Bellotti; Boon-Giin Lee (Intell. Syst. Appl., 2023)

Reliable prediction intervals with directly optimized inductive conformal regression for deep learning. - Haocheng Lei; Anthony Bellotti (Neural Networks, 2023)

Investigating Data Usage for Inductive Conformal Predictors. - Yizirui Fang; Anthony Bellotti (CoRR, 2024)

SFIDMT-ART: A metamorphic group generation method based on Adaptive Random Testing applied to source and follow-up input domains. - Zhihao Ying; Dave Towey; Anthony Graham Bellotti; Tsong Yueh Chen; Zhi Quan Zhou 001 (Inf. Softw. Technol., 2024)

ALDII: Adaptive Learning-based Document Image Inpainting to enhance the handwritten Chinese character legibility of human and machine. - Qinglin Mao; Jingjin Li; Hang Zhou; Pushpendu Kar; Anthony Graham Bellotti (Neurocomputing, 2025)

Pruning convolutional neural networks for inductive conformal prediction. - Xindi Zhao; Amin Farjudian; Anthony Bellotti (Neurocomputing, 2025)

MRGS-ART: Metamorphic Relation and Group Selection Based on Adaptive Random Testing. - Zhihao Ying; Dave Towey; Anthony Graham Bellotti; Zhi Quan Zhou 001 (Softw. Test. Verification Reliab., 2025)

Identifying crowdfunding storytellers who deliver successful projects: a machine learning approach. - Saeid Pourroostaei Ardakani; Jianwei Hu; Jing Zhang; Kaifeng Jin; Tianhong Cai; Anthony Graham Bellotti; Xiuping Hua (J. Supercomput., 2025)

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction. - Yue Yang; Zihan Su; Ying Zhang; Chang Chuan Goh; Yuxiang Lin; Anthony Graham Bellotti; Boon Giin Lee (CoRR, 2025)

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection. - Yue Yang; Yuxiang Lin; Ying Zhang; Zihan Su; Chang Chuan Goh; Tangtangfang Fang; Anthony Graham Bellotti; Boon Giin Lee (CoRR, 2025)

Conformal Prediction and Trustworthy AI. - Anthony Bellotti; Xindi Zhao (CoRR, 2025)