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ORCIDRicardo Silva
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ricardo Silva 0001 — University College London, The Alan Turing Institute, UK
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2020 – today
- 2024
[c47]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR 2024: 243-264- [c46]Ricardo Silva, Luís Neto, Gil Gonçalves, Frutuoso Mateus, Rodrigo Pires:
Digital Twin for Remote Fault Detection of Heavy-Duty Machinery. INDIN 2024: 1-7 - [i26]Ricardo Silva:
Counterfactual Fairness Is Not Demographic Parity, and Other Observations. CoRR abs/2402.02663 (2024) - [i25]David S. Watson, Jordan Penn, Lee M. Gunderson, Gecia Bravo Hermsdorff, Afsaneh Mastouri, Ricardo Silva:
Bounding Causal Effects with Leaky Instruments. CoRR abs/2404.04446 (2024) - 2023
- [j12]Gonçalo Silva
, Márcio Goethel, Leandro José Machado, Filipa Sousa, Mário Jorge Costa, Pedro Magalhães, Carlos Silva, Marta Midão, André Leite, Suse Couto, Ricardo Silva, João Paulo Vilas-Boas, Ricardo Jorge Fernandes:
Acute Recovery after a Fatigue Protocol Using a Recovery Sports Legging: An Experimental Study. Sensors 23(17): 7634 (2023) - [c45]Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. CLeaR 2023: 142-176 - [c44]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. NeurIPS 2023 - [i24]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR abs/2301.12278 (2023) - [i23]Aengus Lynch, Gbètondji J.-S. Dovonon, Jean Kaddour, Ricardo Silva:
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases. CoRR abs/2303.05470 (2023) - [i22]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. CoRR abs/2306.04027 (2023) - 2022
- [j11]José R. Andrade, Conceição Rocha, Ricardo Silva, João P. Viana, Ricardo J. Bessa, Clara Gouveia, B. Almeida, R. J. Santos, Miguel Louro, P. M. Santos, Adrian Ribeiro Ferreira:
Data-Driven Anomaly Detection and Event Log Profiling of SCADA Alarms. IEEE Access 10: 73758-73773 (2022) - [j10]Simone Fratini, Nicola Policella, Ricardo Silva, João Guerreiro:
On-board autonomy operations for OPS-SAT experiment. Appl. Intell. 52(6): 6970-6987 (2022) - [j9]Ana Garcez, Ricardo Silva, Mário Franco:
Digital transformation shaping structural pillars for academic entrepreneurship: A framework proposal and research agenda. Educ. Inf. Technol. 27(1): 1159-1182 (2022) - [c43]Ricardo Silva, Clara Gouveia, Leonel Carvalho, Jorge Pereira:
Improved battery storage systems modeling for predictive energy management applications. ISGT-Europe 2022: 1-5 - [c42]Ricardo Rodrigues, Ricardo Silva, Ricardo Pereira, Carlos Martinho:
A cautionary tale of side-by-side evaluations while developing emotional expression for intelligent virtual agents. IVA 2022: 1:1-1:8 - [c41]Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
When Do Flat Minima Optimizers Work? NeurIPS 2022 - [c40]David S. Watson, Ricardo Silva:
Causal discovery under a confounder blanket. UAI 2022: 2096-2106 - [c39]Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt J. Kusner, Ricardo Silva:
Causal inference with treatment measurement error: a nonparametric instrumental variable approach. UAI 2022: 2414-2424 - [i21]Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner:
Questions for Flat-Minima Optimization of Modern Neural Networks. CoRR abs/2202.00661 (2022) - [i20]Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus:
Stochastic Causal Programming for Bounding Treatment Effects. CoRR abs/2202.10806 (2022) - [i19]Jakob Zeitler, Ricardo Silva:
The Causal Marginal Polytope for Bounding Treatment Effects. CoRR abs/2202.13851 (2022) - [i18]David S. Watson, Ricardo Silva:
Causal discovery under a confounder blanket. CoRR abs/2205.05715 (2022) - [i17]Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt J. Kusner, Ricardo Silva:
Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach. CoRR abs/2206.09186 (2022) - [i16]Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva:
Causal Machine Learning: A Survey and Open Problems. CoRR abs/2206.15475 (2022) - 2021
- [j8]Nuno Macedo, Alcino Cunha, José Pereira, Renato Carvalho, Ricardo Silva, Ana C. R. Paiva, Miguel Sozinho Ramalho, Daniel Castro Silva:
Experiences on teaching alloy with an automated assessment platform. Sci. Comput. Program. 211: 102690 (2021) - [c38]João Neves, Ricardo Silva, Daniel Raposo, José Silva, Nuno Martins, Daniel Brandão:
Design and Communication for the Territory: Promotion and Enhancement of Heritage Based on Tourist Routes. AHFE (3) 2021: 79-86 - [c37]Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva:
Operationalizing Complex Causes: A Pragmatic View of Mediation. ICML 2021: 3875-3885 - [c36]Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet:
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. ICML 2021: 7512-7523 - [c35]Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner, Ricardo Silva:
Causal Effect Inference for Structured Treatments. NeurIPS 2021: 24841-24854 - [i15]Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt J. Kusner, Arthur Gretton, Krikamol Muandet:
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction. CoRR abs/2105.04544 (2021) - [i14]Jean Kaddour, Qi Liu, Yuchen Zhu, Matt J. Kusner, Ricardo Silva:
Graph Intervention Networks for Causal Effect Estimation. CoRR abs/2106.01939 (2021) - [i13]Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva:
Operationalizing Complex Causes: A Pragmatic View of Mediation. CoRR abs/2106.05074 (2021) - 2020
- [c34]Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva:
Differentiable Causal Backdoor Discovery. AISTATS 2020: 3970-3979 - [c33]Nuno Macedo, Alcino Cunha, José Pereira, Renato Carvalho, Ricardo Silva, Ana C. R. Paiva, Miguel Sozinho Ramalho, Daniel Castro Silva:
Experiences on Teaching Alloy with an Automated Assessment Platform. ABZ 2020: 61-77 - [c32]Niki Kilbertus, Matt J. Kusner, Ricardo Silva:
A Class of Algorithms for General Instrumental Variable Models. NeurIPS 2020 - [c31]Ricardo Silva, Cecília Costa, Fernando M. L. Martins:
Using Mathematical Modelling and Virtual Manipulatives to Teach Elementary Mathematics. TECH-EDU 2020: 75-89 - [c30]Sorawit Saengkyongam, Ricardo Silva:
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders. UAI 2020: 300-309 - [c29]Pawel M. Chilinski, Ricardo Silva:
Neural Likelihoods via Cumulative Distribution Functions. UAI 2020: 420-429 - [i12]Limor Gultchin, Matt J. Kusner, Varun Kanade, Ricardo Silva:
Differentiable Causal Backdoor Discovery. CoRR abs/2003.01461 (2020) - [i11]Niki Kilbertus, Matt J. Kusner, Ricardo Silva:
A Class of Algorithms for General Instrumental Variable Models. CoRR abs/2006.06366 (2020)
2010 – 2019
- 2019
- [j7]Paulo Dias, Ricardo Silva, Paula Amorim, Jorge Laíns, Eulalia Roque, Ines Serodio Fatima Pereira, Fatima Pereira, Beatriz Sousa Santos, Mike Potel:
Using Virtual Reality to Increase Motivation in Poststroke Rehabilitation. IEEE Computer Graphics and Applications 39(1): 64-70 (2019) - [j6]Ricardo Silva, Razi Iqbal:
Ethical Implications of Social Internet of Vehicles Systems. IEEE Internet Things J. 6(1): 517-531 (2019) - [j5]William G. Dixon, Anna L. Beukenhorst, Belay Birlie Yimer, Louise Cook, Antonio Gasparrini, Tal El-Hay, Bruce Hellman, Ben James, Ana M. Vicedo-Cabrera, Malcolm Maclure, Ricardo Silva, John D. Ainsworth, Huai Leng Pisaniello, Thomas A. House, Mark Lunt, Carolyn Gamble, Caroline Sanders, David M. Schultz, Jamie C. Sergeant, John McBeth:
How the weather affects the pain of citizen scientists using a smartphone app. npj Digit. Medicine 2 (2019) - [c28]Ricardo Rodrigues, Ricardo Silva, Ricardo Pereira, Carlos Martinho:
Interactive Empathic Virtual Coaches Based on the Social Regulatory Cycle. ACII 2019: 69-75 - [c27]Ricardo Silva, Nelson Duarte, Teresa Barros, Gabriela Fernandes:
Project Management Maturity: Case study analysis using OPM3® model in manufacturing industry. ICE/ITMC 2019: 1-8 - [c26]Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva:
Making Decisions that Reduce Discriminatory Impacts. ICML 2019: 3591-3600 - [c25]Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. UAI 2019: 616-626 - [c24]Joaquim A. Jorge, Rafael Kuffner dos Anjos, Ricardo Silva:
Dynamic Occlusion Handling for Real-Time AR Applications. VRCAI 2019: 15:1-15:9 - [e4]Amir Globerson, Ricardo Silva:
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019. Proceedings of Machine Learning Research 115, AUAI Press 2019 [contents] - [i10]Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva:
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. CoRR abs/1907.01040 (2019) - [i9]Nuno Macedo, Alcino Cunha, José Pereira, Renato Carvalho, Ricardo Silva, Ana C. R. Paiva, Miguel S. Ramalho, Daniel Castro Silva:
Sharing and Learning Alloy on the Web. CoRR abs/1907.02275 (2019) - 2018
- [c23]Luís Neto, Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves:
A component framework as an enabler for industrial cyber physical systems. ICPS 2018: 339-344 - [c22]Yin Cheng Ng, Nicolò Colombo, Ricardo Silva:
Bayesian Semi-supervised Learning with Graph Gaussian Processes. NeurIPS 2018: 1690-1701 - [e3]Amir Globerson, Ricardo Silva:
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018. AUAI Press 2018 [contents] - [i8]Jean-Baptiste Regli, Ricardo Silva:
Alpha-Beta Divergence For Variational Inference. CoRR abs/1805.01045 (2018) - [i7]Joshua R. Loftus, Chris Russell, Matt J. Kusner, Ricardo Silva:
Causal Reasoning for Algorithmic Fairness. CoRR abs/1805.05859 (2018) - [i6]Matt J. Kusner, Chris Russell, Joshua R. Loftus, Ricardo Silva:
Causal Interventions for Fairness. CoRR abs/1806.02380 (2018) - [i5]Ricardo Silva, Razi Iqbal:
Ethical Implications of Social Internet of Vehicles Systems. CoRR abs/1806.09081 (2018) - [i4]Yin Cheng Ng, Ricardo Silva:
Bayesian Semi-supervised Learning with Graph Gaussian Processes. CoRR abs/1809.04379 (2018) - [i3]Pawel M. Chilinski, Ricardo Silva:
Neural Likelihoods via Cumulative Distribution Functions. CoRR abs/1811.00974 (2018) - 2017
- [j4]Ricardo Silva, Shohei Shimizu:
Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions. J. Mach. Learn. Res. 18: 120:1-120:49 (2017) - [c21]Diogo Cardoso, Rui Alves, João Moura Pires, Fernando Pedro Birra, Ricardo Silva:
Gisplay- Extensible Web API for Thematic Maps with WebGL. ICCSA (6) 2017: 674-689 - [c20]Luís Neto, João Reis, Ricardo Silva, Gil Gonçalves:
Sensor SelComp, a smart component for the industrial sensor cloud of the future. ICIT 2017: 1256-1261 - [c19]Ricardo Silva, João Reis, Luís Neto, Gil Gonçalves:
Universal parser for wireless sensor networks in industrial cyber physical production systems. INDIN 2017: 633-638 - [c18]Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva:
Counterfactual Fairness. NIPS 2017: 4066-4076 - [c17]Chris Russell, Matt J. Kusner, Joshua R. Loftus, Ricardo Silva:
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. NIPS 2017: 6414-6423 - [c16]Ricardo Silva, Jaime S. Cardoso, Filipe Sousa:
Measuring Impedance in Congestive Heart Failure. pHealth 2017: 157-162 - [c15]Ricardo Silva, Luís Freitas Rocha, Pedro Relvas, Pedro Costa, Manuel F. Silva:
Offline Programming of Collision Free Trajectories for Palletizing Robots. ROBOT (2) 2017: 680-691 - [c14]António J. R. Neves, Daniel Filipe Barros Campos, Fabio Duarte, Filipe Pereira, Inês Domingues, Joana Santos, João Leão, José Xavier, Luís M. O. de Matos, Manuel Camarneiro, Marcelo Penas, Maria Miranda, Ricardo Silva, Tiago Esteves:
A Personal Robot as an Improvement to the Customers' In-store Experience. SMARTGREENS/VEHITS (Selected Papers) 2017: 296-317 - [c13]António J. R. Neves, Daniel Filipe Barros Campos, Fabio Duarte, Inês Domingues, Joana Santos, João Leão, José Xavier, Luís M. O. de Matos, Manuel Camarneiro, Marcelo Penas, Maria Miranda, Ricardo Silva, Tiago Esteves:
Functionalities and Requirements of an Autonomous Shopping Vehicle for People with Reduced Mobility. VEHITS 2017: 373-380 - [e2]Frederick Eberhardt, Elias Bareinboim, Marloes H. Maathuis, Joris M. Mooij, Ricardo Silva:
Proceedings of the UAI 2016 Workshop on Causation: Foundation to Application co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), Jersey City, USA, June 29, 2016. CEUR Workshop Proceedings 1792, CEUR-WS.org 2017 [contents] - [i2]Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva:
Counterfactual Fairness. CoRR abs/1703.06856 (2017) - [i1]Yin Cheng Ng, Ricardo Silva:
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks. CoRR abs/1710.04008 (2017) - 2016
- [j3]Ricardo Silva, Robin J. Evans:
Causal Inference through a Witness Protection Program. J. Mach. Learn. Res. 17: 56:1-56:53 (2016) - [c12]Ricardo Silva, Carla Teixeira Lopes:
The Effectiveness of Query Expansion when searching for Health related Content: InfoLab at CLEF eHealth 2016. CLEF (Working Notes) 2016: 130-142 - [c11]Guilherme Guerreiro, Paulo Figueiras, Ricardo Silva, Ruben Costa, Ricardo Jardim-Gonçalves:
An architecture for big data processing on intelligent transportation systems. An application scenario on highway traffic flows. IEEE Conf. on Intelligent Systems 2016: 65-72 - [c10]Ricardo Silva:
Observational-Interventional Priors for Dose-Response Learning. NIPS 2016: 1561-1569 - [c9]Yin Cheng Ng, Pawel M. Chilinski, Ricardo Silva:
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages. NIPS 2016: 4044-4052 - 2015
- [e1]Ricardo Silva, Ilya Shpitser, Robin J. Evans, Jonas Peters, Tom Claassen:
Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, The Netherlands, July 16, 2015. CEUR Workshop Proceedings 1504, CEUR-WS.org 2015 [contents] - 2014
- [j2]Ruben Estevez, Sean Rankin, Ricardo Silva, Indratmo:
A model for web-based course registration systems. Int. J. Web Inf. Syst. 10(1): 51-64 (2014) - [c8]Ricardo Silva, Robin J. Evans:
Causal Inference through a Witness Protection Program. NIPS 2014: 298-306 - 2013
- [c7]Erick Javier Argüello Prada, Ricardo Silva, Monica Huerta, Cecilia Castillo:
New trends in computational modeling: A Neuroid-based retina model. EMBC 2013: 4561-4564 - [c6]Angel Gruber, Erick Javier Argüello Prada, Ricardo Silva:
Development of a linear induction motor based artificial muscle system. EMBC 2013: 6211-6214 - 2012
- [c5]Erick Javier Argüello Prada, Ricardo Silva, Cecilia Castillo, Monica Huerta:
The neuroid: A novel and simplified neuron-model. EMBC 2012: 1234-1237 - [c4]Ricardo Silva:
Latent Composite Likelihood Learning for the Structured Canonical Correlation Model. UAI 2012: 765-774 - 2011
- [c3]João N. Neto, Ricardo Silva, João Paulo Neto, João Madeiras Pereira, João Fernandes:
Solis'Curse - A Cultural Heritage Game Using Voice Interaction with a Virtual Agent. VS-GAMES 2011: 164-167 - 2010
- [c2]Ricardo Silva:
GINSENG - Performance Control in Wireless Sensor Networks. REALWSN 2010: 166-169
2000 – 2009
- 2009
- [c1]Daniel Castro Silva, Ricardo Silva, Luís Paulo Reis, Eugénio C. Oliveira:
Agent-Based Aircraft Control Strategies in a Simulated Environment. AGS 2009: 190-205 - 2008
- [j1]João Costa Seco, Ricardo Silva, Margarida Piriquito:
Component J: A component-based programming language with dynamic reconfiguration. Comput. Sci. Inf. Syst. 5(2): 63-86 (2008)
Coauthor Index
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