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  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: DR Diana Benavides Prado

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Su Y, Zhu Y, Chen Y, Benavides-Prado D, Witbrock M ( 2026 ) . Psychology-Driven Enhancement of Humour Translation . Communications in Computer and Information Science . vol. 2753 , 492 - 506 .
Yogarajan V, Rayson P, Dobbie G, Keesing A, Keegan TT, Witbrock M, Benavides Prado D ( 2025 ) . Annotator Disagreement-Based Analysis for Developing Bias Benchmark Datasets in Resource-Restricted Settings . Conference: ICONIP: International Conference on Neural Information Processing
Vaithianathan R, Benavides-Prado D, Rebbe R, Putnam-Hornstein E ( 2025 ) . Using a Predictive Risk Model to Prioritize Families for Prevention Services: The Hello Baby Program in Allegheny County, PA . Prevention Science vol. 26 , ( 3 ) 321 - 330 .
Su Y, Zhu Y, Wang R, Huang Z, Benavides-Prado D, Witbrock MJ ( 2025 ) . A Survey of Pun Generation: Datasets, Evaluations and Methodologies . Conference: Findings of the Association for Computational Linguistics: EMNLP 20257375 - 7395 .
Benavides-Prado D, Erfani S, Fournier-Viger P, Boo YL, Koh YS ( 2024 ) . Data Science and Machine Learning 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings . Springer
Benavides Prado D, Riddle P ( 2022 ) . A Theory for Knowledge Transfer in Continual Learning . Conference: Conference on Lifelong Learning Agents (CoLLAs)
Sadiq S, Aryani A, Demartini G, Hua W, Indulska M, Burton-Jones A, Khosravi H, Benavides-Prado D et al. ( 2022 ) . Information Resilience: the nexus of responsible and agile approaches to information use . The VLDB Journal vol. 31 , ( 5 ) 1059 - 1084 .
Bensemann J, Peng A, Benavides-Prado D, Chen Y, Tan N, Corballis PM, Riddle P, Witbrock M ( 2022 ) . Eye Gaze and Self-attention: How Humans and Transformers Attend Words in Sentences . Conference: Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics75 - 87 .
Benavides-Prado D, Wanigasekara C, Swain A ( 2021 ) . Generalised Controller Design Using Continual Learning . Lecture Notes in Computer Science . vol. 12892 , 397 - 408 .
Cory C, Benavides-Prado D, Koh YS ( 2021 ) . Continual Correction of Errors Using Smart Memory Replay . Conference: 2021 International Joint Conference on Neural Networks (IJCNN) vol. 00 , 1 - 8 .
Vaithianathan R, Benavides‐Prado D, Dalton E, Chouldechova A, Putnam‐Hornstein E ( 2021 ) . Using a Machine Learning Tool to Support High‐Stakes Decisions in Child Protection . AI Magazine vol. 42 , ( 1 ) 53 - 60 .
Vaithianathan R, Putnam-Hornstein E, Chouldechova A, Benavides-Prado D, Berger R ( 2020 ) . Hospital Injury Encounters of Children Identified by a Predictive Risk Model for Screening Child Maltreatment Referrals . JAMA Pediatrics vol. 174 , ( 11 )
Benavides-Prado D, Koh YS, Riddle P ( 2020 ) . Towards Knowledgeable Supervised Lifelong Learning Systems . Journal of Artificial Intelligence Research vol. 68 , 159 - 224 .
Benavides-Prado D, Koh YS, Riddle P ( 2019 ) . Selective Hypothesis Transfer for Lifelong Learning . Conference: 2019 International Joint Conference on Neural Networks (IJCNN) vol. 00 , 1 - 10 .
Benavides-Prado D . An SVM-Based Framework for Long-Term Learning Systems . Proceedings of the AAAI Conference on Artificial Intelligence . vol. 33 , 9915 - 9916 .
Chouldechova A, Benavides Prado D, Putnam-Hornstein E, Vaithianathan R, Fialko O ( 2018 ) . A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions . Conference: Conference on Fairness, Accountability and Transparency
Benavides-Prado D ( 2017 ) . A Framework for Long-Term Learning Systems . Conference: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence5167 - 5168 .
Benavides-Prado D, Koh YS, Riddle P ( 2017 ) . AccGenSVM: Selectively Transferring from Previous Hypotheses . Conference: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence1440 - 1446 .
Cory C, Qiao M, Benavides Prado D, Koh YS . Message-Passing under Heterophily for Graph Classification . Conference: IEEE International Conference on Data Mining Workshops (ICDM Workshops) ( Washington DC, United States ) from: 12/11/2025 to: 15/11/2025 ,
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