Jessica Y. Bo

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All published works

Action	Title	Year	Authors
+	Incremental XAI: Memorable Understanding of AI with Incremental Explanations	2024	Jessica Y. Bo Pan Hao Brian Y. Lim
+ PDF Chat	Incremental XAI: Memorable Understanding of AI with Incremental Explanations	2024	Jessica Y. Bo Pan Hao Brian Y. Lim
+	CLIPasso: Semantically-Aware Object Sketching	2022	Yael Vinker Ehsan Pajouheshgar Jessica Y. Bo Roman Bachmann Amit H. Bermano Daniel Cohen‐Or Amir Zamir Ariel Shamir
+	Pretraining ECG Data with Adversarial Masking Improves Model Generalizability for Data-Scarce Tasks	2022	Jessica Y. Bo Hen‐Wei Huang Alvin Chan Giovanni Traverso

Common Coauthors

Coauthor	Papers Together
Brian Y. Lim	2
Ehsan Pajouheshgar	1
Roman Bachmann	1
Ariel Shamir	1
Amir Zamir	1
Giovanni Traverso	1
Hen‐Wei Huang	1
Pan Hao	1
Yael Vinker	1
Daniel Cohen–Or	1
Pan Hao	1
Amit H. Bermano	1
Alvin Chan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Sparse Robust Regression for Explaining Classifiers	2019	Anton Björklund Andreas Henelius Emilia Oikarinen K. T. S. Kallonen Kai Puolamäki	1
+	GLocalX - From Local to Global Explanations of Black Box AI Models	2021	Mattia Setzu Riccardo Guidotti Anna Monreale Franco Turini Dino Pedreschi Fosca Giannotti	1
+ PDF Chat	Show or suppress? Managing input uncertainty in machine learning model explanations	2021	Danding Wang Wencan Zhang Brian Y. Lim	1
+ PDF Chat	What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research	2021	Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing-Wagenpfeil Kevin Baum	1
+ PDF Chat	Interpretable machine learning: Fundamental principles and 10 grand challenges	2022	Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong	1
+ PDF Chat	To Trust or to Think	2021	Zana Buçinca Maja Barbara Malaya Krzysztof Z. Gajos	1
+ PDF Chat	Manipulating and Measuring Model Interpretability	2021	Forough Poursabzi-Sangdeh Daniel G. Goldstein Jake M. Hofman Jennifer Wortman Vaughan Hanna Wallach	1
+ PDF Chat	Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory	2022	Harmanpreet Kaur Eytan Adar Éric Gilbert Cliff Lampe	1
+ PDF Chat	Why does my model fail?	2020	Ana Lučić Hinda Haned Maarten de Rijke	1
+	Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR	2017	Sandra Wachter Brent Mittelstadt Chris Russell	1
+ PDF Chat	SLISEMAP: supervised dimensionality reduction through local explanations	2022	Anton Björklund Jarmo Mäkelä Kai Puolamäki	1
+	"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction	2023	Sunnie Kim Elizabeth Anne Watkins Olga Russakovsky Ruth Fong Andrés Monroy‐Hernández	1