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Salvador Ruiz-Correa
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2020 – today
- 2023
- [j17]Paula Helm
, Amalia de Götzen
Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism. Big Data Soc. 10(2) (2023) - [i5]Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization. CoRR abs/2306.00723 (2023) - 2022
- [j16]Wageesha Bangamuarachchi
Sensing Eating Events in Context: A Smartphone-Only Approach. IEEE Access 10: 61249-61264 (2022) - [j15]Lakmal Meegahapola
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 176:1-176:32 (2022) - [i4]Laura Schelenz, Ivano Bison, Matteo Busso, Amalia de Götzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa:
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. CoRR abs/2202.12700 (2022) - [i3]Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola
Sensing Eating Events in Context: A Smartphone-Only Approach. CoRR abs/2205.14191 (2022) - [i2]Lakmal Meegahapola
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries. CoRR abs/2211.03009 (2022) - 2021
- [j14]Salvador Ruiz-Correa
Health Sentinel: A mobile crowdsourcing platform for self-reported surveys provides early detection of COVID-19 clusters in San Luis Potosí, Mexico. Int. J. Medical Informatics 153: 104508 (2021) - [j13]Lakmal Meegahapola
One More Bite?: Inferring Food Consumption Level of College Students Using Smartphone Sensing and Self-Reports. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 26:1-26:28 (2021) - [c17]Laura Schelenz, Ivano Bison
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. AIES 2021: 905-915 - 2020
- [c16]Lakmal Meegahapola
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing. MUM 2020: 162-166 - [c15]Lakmal Meegahapola, Salvador Ruiz-Correa
Protecting Mobile Food Diaries from Getting too Personal. MUM 2020: 212-222 - [i1]Lakmal Meegahapola, Salvador Ruiz-Correa, Daniel Gatica-Perez:
Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing. CoRR abs/2011.11694 (2020)
2010 – 2019
- 2019
- [j12]Mario Canul
Classification of 3D Archaeological Objects Using Multi-View Curvature Structure Signatures. IEEE Access 7: 3298-3313 (2019) - [j11]Salvador Ruiz-Correa
Mi Casa es su Casa? Examining Airbnb Hospitality Exchange Practices in a Developing Economy. ACM Trans. Soc. Comput. 2(1): 2:1-2:24 (2019) - 2018
- [j10]Laurent Son Nguyen
Check Out This Place: Inferring Ambiance From Airbnb Photos. IEEE Trans. Multim. 20(6): 1499-1511 (2018) - [j9]Darshan Santani, Salvador Ruiz-Correa
Looking South: Learning Urban Perception in Developing Cities. ACM Trans. Soc. Comput. 1(3): 13:1-13:23 (2018) - [c14]Diego Jimenez-Badillo, Salvador Ruiz-Correa, Mario Canul, Rogelio Hasimoto-Beltrán:
A machine learning methodology to analyze 3D digital models of cultural heritage objects. DH 2018: 216-218 - 2017
- [j8]Salvador Ruiz-Correa
SenseCityVity: Mobile Crowdsourcing, Urban Awareness, and Collective Action in Mexico. IEEE Pervasive Comput. 16(2): 44-53 (2017) - [c13]Darshan Santani, Salvador Ruiz-Correa
Insiders and Outsiders: Comparing Urban Impressions between Population Groups. ICMR 2017: 65-71 - 2015
- [j7]Manuel Arturo Suárez-Améndola, Salvador Ruiz-Correa, Rogelio Hasimoto-Beltrán:
Detección de patrones de movilidad en datos de localización aplicando modelos de tópicos. Res. Comput. Sci. 93: 57-70 (2015) - [c12]Darshan Santani, Salvador Ruiz-Correa
Looking at Cities in Mexico with Crowds. ACM DEV 2015: 127-135 - [c11]Gilberto Chávez-Martínez
Happy and agreeable?: multi-label classification of impressions in social video. MUM 2015: 109-120 - 2014
- [c10]Salvador Ruiz-Correa
The young and the city: crowdsourcing urban awareness in a developing country. Urb-IoT 2014: 74-79 - 2013
- [c9]Sergio A. Mota Gutierrez, Jean-Bernard Hayet
Learning depth from appearance for fast one-shot 3-D map initialization in VSLAM systems. ICRA 2013: 2291-2296 - [c8]Sergio A. Mota Gutierrez, Jean-Bernard Hayet, Salvador Ruiz-Correa
Efficient Reconstruction of Complex 3-D Scenes from Incomplete RGB-D Data. PSIVT Workshops 2013: 71-82 - 2012
- [j6]José L. Marroquín, Rolando J. Biscay, Salvador Ruiz-Correa
Erratum to "Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging" [NeuroImage 56/4 (2011) 1954-1967]. NeuroImage 59(3): 3060 (2012) - [j5]José L. Marroquín, Rolando J. Biscay, Salvador Ruiz-Correa
Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging. NeuroImage 59(3): 3061-3074 (2012) - 2011
- [j4]José L. Marroquín, Rolando J. Biscay, Salvador Ruiz-Correa
Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging. NeuroImage 56(4): 1954-1967 (2011)
2000 – 2009
- 2008
- [j3]Natalia Larios, Hongli Deng, Wei Zhang, Matt Sarpola, Jenny Yuen, Robert Paasch, Andrew Moldenke, David A. Lytle, Salvador Ruiz-Correa
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects. Mach. Vis. Appl. 19(2): 105-123 (2008) - [p1]Linda G. Shapiro, Indriyati Atmosukarto
Similarity-Based Retrieval for Biomedical Applications. Case-Based Reasoning on Images and Signals 2008: 355-387 - 2006
- [j2]Salvador Ruiz-Correa
Symbolic Signatures for Deformable Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 75-90 (2006) - [c7]H. Jill Lin, Salvador Ruiz-Correa
Predicting Neuropsychological Development from Skull Imaging. EMBC 2006: 3450-3455 - 2005
- [c6]H. Jill Lin, Salvador Ruiz-Correa, Linda G. Shapiro, Michael L. Cunningham, Raymond W. Sze:
A Symbolic Shape-based Retrieval of Skull Images. AMIA 2005 - [c5]Salvador Ruiz-Correa, Raymond W. Sze, H. Jill Lin, Linda G. Shapiro, Matthew L. Speltz, Michael L. Cunningham:
Classifying Craniosynostosis Deformations by Skull Shape Imaging. CBMS 2005: 335-340 - [c4]H. Jill Lin, Salvador Ruiz-Correa, Raymond W. Sze, Michael L. Cunningham, Matthew L. Speltz, Anne V. Hing, Linda G. Shapiro:
Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities. CVBIA 2005: 302-313 - 2003
- [c3]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila:
A New Paradigm for Recognizing 3-D Object Shapes from Range Data. ICCV 2003: 1126-1133 - [c2]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson:
Discriminating Deformable Shape Classes. NIPS 2003: 1491-1498 - 2001
- [j1]Daniel Gatica-Perez, Chuang Gu, Ming-Ting Sun, Salvador Ruiz-Correa
Extensive partition operators, gray-level connected operators, and region merging/classification segmentation algorithms: theoretical links. IEEE Trans. Image Process. 10(9): 1332-1345 (2001) - [c1]Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila:
A New Signature-Based Method for Efficient 3-D Object Recognition. CVPR (1) 2001: 769-776
Coauthor Index
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