João Pereira

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All published works

Action	Title	Year	Authors
+ PDF Chat	Digital Storytelling for Competence Development in Games	2024	Edgar Santos Cláudia Ribeiro Manuel Fradinho João Pereira
+ PDF Chat	Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box	2024	Catarina Moreira Yu-Liang Chou Chihcheng Hsieh Chun Ouyang João Pereira Joaquim Jorge
+ PDF Chat	SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors	2024	Alexandre Duarte Francisco Fernandes João Pereira Catarina Moreira Jacinto C. Nascimento Joaquim Jorge
+ PDF Chat	Effects of Realism and Representation on Self-Embodied Avatars in Immersive Virtual Environments	2024	Rafael Kuffner dos Anjos João Pereira
+ PDF Chat	Building An Efficient Grid On GPU	2024	Vasco Costa João Pereira Joaquim Jorge
+	Probabilistic Demand Forecasting with Graph Neural Networks	2024	Nikita Kozodoi Elizaveta Zinovyeva Simon Valentin João Pereira Rodrigo Agundez
+	Visualizing Plasma Physics Simulations in Immersive Environments	2024	Nuno Verdelho Trindade Óscar Amaro David Brás Daniel Gonçalves João Pereira Alfredo Ferreira
+	Digitally reproducing the artistic style of XVI century artist Antonio Campelo in Alegoria Prudencia	2023	João Fradinho Oliveira João Pereira
+	Survey of Rigid Body Simulation with Extended Position Based Dynamics	2023	Miguel Luis Nunes Seabra Daniel Simões Lopes João Pereira
+	Visualizing Plasma Physics Simulations in Immersive Environments	2023	Nuno Verdelho Trindade Óscar Amaro David Brás Daniel Gonçalves João Pereira Alfredo Ferreira
+	Beyond the Screen: Reshaping the Workplace with Virtual and Augmented Reality	2023	Nuno Verdelho Trindade Alfredo Ferreira João Pereira
+	Video-Based Rendering Techniques: A Survey	2023	Rafael Kuffner dos Anjos João Pereira José Antonio Gaspar
+	Ray-Tracing With a Coherent Ray-Space Hierarchy	2023	Nuno M. Reis Vasco Costa João Pereira
+	Hybrid-Rendering Techniques in GPU	2023	Pedro L. Granja João Pereira
+ PDF Chat	Design requirements to improve laparoscopy via XR	2022	Ezequiel Roberto Zorzal Maurício Sousa Pedro Belchior João Pereira Nuno Figueiredo Joaquim Jorge
+ PDF Chat	Anatomy Studio II A Cross-Reality Application for Teaching Anatomy	2022	Joaquim Jorge Pedro Belchior Abel Gomes Maurício Sousa João Pereira Jean-Francois Uh
+ PDF Chat	Improving X-ray Diagnostics through Eye-Tracking and XR	2022	Catarina Moreira Isabel Blanco Nobre Sandra Costa Sousa João Pereira Joaquim Jorge
+	Benchmarking Counterfactual Algorithms for XAI: From White Box to Black Box	2022	Catarina Moreira Yu-Liang Chou Chihcheng Hsieh Chun Ouyang Joaquim Jorge João Pereira
+	Improving X-ray Diagnostics through Eye-Tracking and XR	2022	Catarina Moreira Isabel Blanco Nobre Sandra Costa Sousa João Pereira Joaquim Jorge
+	Anatomy Studio II: A Cross-Reality Application for Teaching Anatomy	2022	Joaquim Jorge Pedro Belchior Abel Gomes Maurício Sousa João Pereira Jean-François Uhl
+	Design requirements to improve laparoscopy via XR	2022	Ezequiel Roberto Zorzal Maurício Sousa Pedro Belchior João Pereira Nuno Figueiredo Joaquim Jorge
+	VIDA: Visualizador Interactivo de Dados (biomecânicos) Aumentados	2021	José Braz Pereira João Pereira António Veloso
+	Eery Space: Facilitating Virtual Meetings Through Remote Proxemics	2015	Maurício Sousa Daniel Mendes Alfredo Ferreira João Pereira Joaquim Jorge

Common Coauthors

Coauthor	Papers Together
Joaquim Jorge	11
Catarina Moreira	5
Maurício Sousa	5
Alfredo Ferreira	4
Pedro Belchior	3
Nuno Verdelho Trindade	3
Abel Gomes	2
Yu-Liang Chou	2
David Brás	2
Chihcheng Hsieh	2
Isabel Blanco Nobre	2
Daniel Gonçalves	2
Ezequiel Roberto Zorzal	2
Sandra Costa Sousa	2
Chun Ouyang	2
Vasco Costa	2
Óscar Amaro	2
Rafael Kuffner dos Anjos	2
Nuno Figueiredo	2
Edgar Santos	1
João Fradinho Oliveira	1
António Veloso	1
Jean-François Uhl	1
Manuel Fradinho	1
Daniel Mendes	1
Jean-Francois Uh	1
Daniel Simões Lopes	1
Cláudia Ribeiro	1
Pedro L. Granja	1
Simon Valentin	1
Francisco Fernandes	1
José Antonio Gaspar	1
Nuno M. Reis	1
Nikita Kozodoi	1
Elizaveta Zinovyeva	1
Jacinto C. Nascimento	1
José Braz Pereira	1
Pedro Belchior	1
Rodrigo Agundez	1
Alexandre Duarte	1
Miguel Luis Nunes Seabra	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data	2021	Raphael Oliveira David Martens	2
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	2
+	Definitions, methods, and applications in interpretable machine learning	2019	William J. Murdoch Chandan Singh Karl Kumbier Reza Abbasi-Asl Bin Yu	2
+ PDF Chat	Principles and Practice of Explainable Machine Learning	2021	Vaishak Belle Ioannis Papantonis	2
+	Causal inference and counterfactual prediction in machine learning for actionable healthcare	2020	Mattia Prosperi Yi Guo Matthew Sperrin James S. Koopman Jae Min Xing He Shannan N. Rich Mo Wang Iain Buchan Jiang Bian	2
+ PDF Chat	Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications	2021	Yu-Liang Chou Catarina Moreira Peter Bruza Chun Ouyang Joaquim Jorge	2
+ PDF Chat	European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”	2017	Bryce Goodman Seth Flaxman	2
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+ PDF Chat	A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning	2018	Naji Khosravan Haydar Çelik Barış Türkbey Elizabeth C. Jones Bradford J. Wood Ulaş Bağcı	1
+	Explanation in artificial intelligence: Insights from the social sciences	2018	Tim Miller	1
+ PDF Chat	Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR	2017	Sandra Wachter Brent Mittelstadt Chris Russell	1
+	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations	2019	Thibault Laugel Marie‐Jeanne Lesot Christophe Marsala Xavier Renard Marcin Detyniecki	1
+	Measurable Counterfactual Local Explanations for Any Classifier	2019	Adam White Artur S. d’Avila Garcez	1
+	Negative Space: Workspace Awareness in 3D Face-to-Face Remote Collaboration	2019	Maurício Sousa Daniel Mendes Rafael Kuffner dos Anjos Daniel Simões Lopes Joaquim Jorge	1
+	The hidden assumptions behind counterfactual explanations and principal reasons	2020	Solon Barocas Andrew D. Selbst Manish Raghavan	1
+ PDF Chat	Learning Model-Agnostic Counterfactual Explanations for Tabular Data	2020	Martin Pawelczyk Klaus Broelemann Gjergji Kasneci	1
+ PDF Chat	Black Box Explanation by Learning Image Exemplars in the Latent Feature Space	2020	Riccardo Guidotti Anna Monreale Stan Matwin Dino Pedreschi	1
+	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach	2020	Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera	1
+	Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey	2020	Arun Das Paul Rad	1
+	Model-Agnostic Counterfactual Explanations for Consequential Decisions	2019	Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera	1
+	Interpretable Credit Application Predictions With Counterfactual Explanations	2018	Rory Mc Grath Luca Costabello Chan Le Van Paul Sweeney Farbod Kamiab Zhao Shen Freddy Lécué	1
+ PDF Chat	Exploring Interpretability for Predictive Process Analytics	2020	Renuka Sindhgatta Chun Ouyang Catarina Moreira	1
+ PDF Chat	A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C	2020	Yanou Ramon David Martens Foster Provost Theodoros Evgeniou	1
+	Counterfactual Explanations for Machine Learning: A Review.	2020	Sahil Verma John P. Dickerson Keegan Hines	1
+ PDF Chat	Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)	2020	Mark T. Keane Barry Smyth	1
+	Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses	2020	Kaivalya Rawal Himabindu Lakkaraju	1
+	Multi-Objective Counterfactual Explanations	2020	Susanne Dandl Christoph Molnar Martin Binder Bernd Bischl	1
+	A Survey on the Explainability of Supervised Machine Learning	2021	Nadia Burkart Marco F. Huber	1
+ PDF Chat	Counterfactual Thinking in Cooperation Dynamics	2019	Luı́s Moniz Pereira Francisco C. Santos	1
+ PDF Chat	Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training	2022	Jong Hak Moon Hyungyung Lee Woncheol Shin Young‐Hak Kim Edward Choi	1
+	Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI	2021	Kiana Alikhademi Brianna Richardson Emma Drobina Juan E. Gilbert	1
+ PDF Chat	Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End	2021	Ramaravind Kommiya Mothilal Divyat Mahajan Chenhao Tan Amit Sharma	1
+	If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques	2021	Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth	1
+ PDF Chat	Interpretable Counterfactual Explanations Guided by Prototypes	2021	Arnaud Van Looveren Janis Klaise	1
+ PDF Chat	REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays	2022	Ricardo Bigolin Lanfredi Mingyuan Zhang William F. Auffermann Jessica Chan Phuong-Anh T. Duong Vivek Srikumar Trafton Drew Joyce Schroeder Tolga Taşdizen	1
+ PDF Chat	DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach	2021	Chihcheng Hsieh Catarina Moreira Chun Ouyang	1
+ PDF Chat	Controlling camera movement in VR colonography	2022	Soraia Figueiredo Paulo Daniel Medeiros Daniel Simões Lopes Joaquim Jorge	1
+ PDF Chat	Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts	2022	Sebastian Bordt Michèle Finck Éric Raidl Ulrike von Luxburg	1
+	The Plausibility Gap: A model of sensemaking	2021	Gary Klein Mohammadreza Jalaeian Robert S. Hoffman Shane T. Mueller	1
+	On the computation of counterfactual explanations -- A survey	2019	André Artelt Barbara Hammer	1
+	Generating Counterfactual and Contrastive Explanations using SHAP	2019	Shubham Rathi	1
+	Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives	2018	Amit Dhurandhar Pin‐Yu Chen Ronny Luss Chun‐Chen Tu Paishun Ting Karthikeyan Shanmugam Payel Das	1
+ PDF Chat	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems	2020	Azin Ghazimatin Oana Balalau Rishiraj Saha Gerhard Weikum	1
+	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects	2020	Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera	1
+	Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR	2017	Sandra Wachter Brent Mittelstadt Chris Russell	1
+	Benchmarking and Survey of Explanation Methods for Black Box Models	2021	Francesco Bodria Fosca Giannotti Riccardo Guidotti Francesca Naretto Dino Pedreschi Salvatore Rinzivillo	1
+	Bias and Debias in Recommender System: A Survey and Future Directions	2020	Jiawei Chen Hande Dong Xiang Wang Fuli Feng Meng Wang Xiangnan He	1
+ PDF Chat	MAGIC: Manipulating Avatars and Gestures to Improve Remote Collaboration	2023	Catarina G. Fidalgo Maurício Sousa Daniel Mendes Rafael Kuffner dos Anjos Daniel Medeiros Karan Singh Joaquim Jorge	1
+	Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions	2024	Luca Longo Mario Brčić Federico Cabitza Jaesik Choi Roberto Confalonieri Javier Del Ser Riccardo Guidotti Yoichi Hayashi Francisco Herrera Andreas Holzinger	1
+ PDF Chat	Proceedings of the 25th international conference on Machine learning - ICML '08	2008		1