Saliency Maps Generation for Automatic Text Summarization. - David Tuckey; Krysia Broda; Alessandra Russo (CoRR, 2019)

Towards Structure Learning under the Credal Semantics. - David Tuckey; Krysia Broda; Alessandra Russo (ICLP Workshops, 2020)

A general framework for scientifically inspired explanations in AI. - David Tuckey; Alessandra Russo; Krysia Broda (CoRR, 2020)

PASOCS: A Parallel Approximate Solver for Probabilistic Logic Programs under the Credal Semantics. - David Tuckey; Alessandra Russo; Krysia Broda (CoRR, 2021)

A Semantics For Probabilistic Answer Set Programs With Incomplete Stochastic Knowledge. - David Tuckey; Krysia Broda; Alessandra Russo (ICLP Workshops, 2022)

Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). - Ludovico Mitchener; David Tuckey; Matthew Crosby; Alessandra Russo (IJCAI, 2022)

Tunable Quantum Neural Networks in the QPAC-Learning Framework. - Viet Pham Ngoc; David Tuckey; Herbert Wiklicky (QPL, 2022)

Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. - Ludovico Mitchener; David Tuckey; Matthew Crosby; Alessandra Russo (Mach. Learn., 2022)

Consistency Based Unsupervised Self-Training for ASR Personalisation. - Jisi Zhang; Vandana Rajan; Haaris Mehmood; David Tuckey; Pablo Peso Parada; Md Asif Jalal; Karthikeyan Saravanan; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ASRU, 2023)

FastRAT: Fast and Efficient Cross-lingual Text-to-SQL Semantic Parsing. - Pavlos Vougiouklis; Nikos Papasarantopoulos; Danna Zheng; David Tuckey; Chenxin Diao; Zhili Shen; Jeff Z. Pan (IJCNLP (1), 2023)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. - Jie Xu; Karthikeyan Saravanan; Rogier van Dalen; Haaris Mehmood; David Tuckey; Mete Ozay (CoRR, 2024)

ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. - Haaris Mehmood; Karthikeyan Saravanan; Pablo Peso Parada; David Tuckey; Mete Ozay; Gil Ho Lee; Jungin Lee; Seokyeong Jung (ICASSP, 2025)