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Anthony Bellotti

Professor

University of Nottingham Ningbo China (UNNC)

China

Research Interests

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Professors in Biostatistics

Articles (20)

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2027

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

Collaborators (8)

Boon Giin Lee

Associate Professor

University of Nottingham Ningbo China (UNNC)

CHINA

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Amin Farjudian

University of Birmingham

UNITED KINGDOM

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Elena Lucchi

University of Pavia

ITALY

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Fiseha Berhanu Tesema

Assistant Professor

University of Nottingham Ningbo China (UNNC)

CHINA

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Xiuping Hua

Professor

University of Nottingham Ningbo China (UNNC)

CHINA

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Pushpendu Kar

Associate Professor

University of Nottingham Ningbo China (UNNC)

CHINA

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Tsong Chen

Swinburne University of Technology

AUSTRALIA

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Wu Deng

Assistant Professor

University of Nottingham Ningbo China (UNNC)

CHINA

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Anthony Bellotti

Research Interests

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Articles (20)

High-fidelity text refinement for ControlNet-guided latent diffusion in document inpainting

Why theoretical photovoltaic suitability does not fully predict deployment

Deep learning and explainable Artificial Intelligence for large-scale photovoltaic suitability analysis in Australian cities

Kolmogorov–Arnold networks-based GRU and LSTM for loan default early prediction

Long short-term memory network with adapted attention mechanism for credit risk modeling

Conformal Prediction and Trustworthy AI

Pruning convolutional neural networks for inductive conformal prediction

Optimizing Urban Land-Use Through Deep Reinforcement Learning: A Case Study in Hangzhou for Reducing Carbon Emissions

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection

ALDII: Adaptive Learning-based Document Image Inpainting to enhance the handwritten Chinese character legibility of human and machine

Machine Learning for Chinese Corporate Fraud Prediction: Segmented Models Based on Optimal Training Windows

Identifying crowdfunding storytellers who deliver successful projects

Metamorphic Testing and exploration for Machine Learning credit score models

A comprehensive study on the interplay between dataset characteristics and oversampling methods

Metamorphic Relation Patterns for Metamorphic Testing, Exploration and Robustness

MRGS‐ART: Metamorphic Relation and Group Selection Based on Adaptive Random Testing

TEMPLEs

SFIDMT-ART: A metamorphic group generation method based on Adaptive Random Testing applied to source and follow-up input domains

Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction

Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk

Collaborators (8)

Boon Giin Lee

Amin Farjudian

Elena Lucchi

Fiseha Berhanu Tesema

Xiuping Hua

Pushpendu Kar

Tsong Chen

Wu Deng

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