Alexander Hepburn

30 papers A* 2A 3B 3Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. SoftwareX Matthew Clifford, Alexander Hepburn, Ricardo Kleinlein, Jorge Vila-Tomás, Pablo Hernández-Cámara, Paula Dauden, Nathan F. Lepora, Valero Laparra, Raúl Santos-Rodríguez
2025	J	`jnl`	Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal. CoRR Patricia West, Michelle W. L. Wan, Alexander Hepburn, Edwin Simpson, Raúl Santos-Rodríguez, Jeffrey N. Clark
2024	A*	`conf`	An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. IJCAI Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
2024	J	`jnl`	An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations. CoRR Jonathan Erskine, Matthew Clifford, Alexander Hepburn, Raúl Santos-Rodríguez
2024	J	`jnl`	Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. CoRR Alexander Hepburn, Raúl Santos-Rodriguez, Javier Portilla
2024	A	`conf`	Learning Confidence Bounds for Classification with Imbalanced Data. ECAI Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García
2024	J	`jnl`	Learning Confidence Bounds for Classification with Imbalanced Data. CoRR Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García
2024	J	`jnl`	The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2023	J	`jnl`	Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2023	J	`jnl`	Disentangling the Link Between Image Statistics and Human Perception. CoRR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo
2023	J	`jnl`	Identification, explanation and clinical evaluation of hospital patient subtypes. CoRR Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber, Michael Ambler, Christopher P. Bourdeaux, Alexander Hepburn, Christopher J. McWilliams, Raúl Santos-Rodríguez
2023	A	`conf`	Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers. CIKM Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Peter A. Flach, Raúl Santos-Rodríguez
2023	J	`jnl`	What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2022	J	`jnl`	FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. CoRR Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
2022	A*	`conf`	On the relation between statistical learning and perceptual distances. ICLR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
2022	B	`conf`	Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022	J	`jnl`	Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022	A	`conf`	Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. BMVC Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
2022	J	`jnl`	Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. CoRR Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez
2022	J	`jnl`	What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components. CoRR Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach
2021	B	`conf`	Explainers in the Wild: Making Surrogate Explainers Robust to Distortions Through Perception. ICIP Alexander Hepburn, Raúl Santos-Rodríguez
2021	J	`jnl`	Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception. CoRR Alexander Hepburn, Raúl Santos-Rodríguez
2021	J	`jnl`	On the relation between statistical learning and perceptual distances. CoRR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
2020	—	`conf`	Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2020	J	`jnl`	FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. J. Open Source Softw. Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos-Rodríguez, Peter A. Flach
2020	B	`conf`	Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2019	J	`jnl`	Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2019	J	`jnl`	PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2019	J	`jnl`	bLIMEy: Surrogate Prediction Explanations Beyond LIME. CoRR Kacper Sokol, Alexander Hepburn, Raúl Santos-Rodríguez, Peter A. Flach
2018	—	`conf`	Proper Losses for Learning with Example-Dependent Costs. LIDTA@ECML/PKDD Alexander Hepburn, Ryan McConville, Raúl Santos-Rodríguez, Jesús Cid-Sueiro, Dario García-García