Jean-Daniel Fekete, Juliana Freire, Theresa-Marie Rhyne. Exploring Reproducibility in Visualization. IEEE Computer Graphics and Applications, 2020.

Jorge Ono, Sonia Castelo, Roque Lopez, Enrico Bertini, Juliana Freire, Claudio Silva. PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines. IEEE  Visualization and Computer Graphics, 2020.

Masayo Ota, Heiko Mueller, Juliana Freire, Divesh Srivastava. Data-Driven Domain Discovery for Structured Datasets. VLDB, 2020.

Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein. Winds from Seattle: Database Research Directions. VLDB, 2020.

Mike Brachmann, William Spoth, Oliver Kennedy, Boris Glavic, Heiko Mueller, Sonia Castelo, Carlos Bautista, Juliana Freire. Your notebook is not crumby enough, REPLace it. CIDR, 2020

Magda Balazinska, Surajit Chaudhuri, Anastasia Ailamaki, Juliana Freire, Sailesh Krishnamurthy, Michael Stonebraker. The Next 5 Years: What Opportunities Should the Database Community Seize to Maximize its Impact? SIGMOD Conference, 2020.

Raoni Lourenço, Juliana Freire, Dennis E. Shasha. BugDoc: Algorithms to Debug Computational Processes. SIGMOD Conference, 2020.

Harish Doraiswamy, Juliana Freire. A GPU-friendly Geometric Data Model and Algebra for Spatial Queries. SIGMOD Conference, 2020.

Raoni Lourenço, Juliana Freire, Dennis E. Shasha. BugDoc: A System for Debugging Computational Pipelines. SIGMOD Conference, 2020.

Zhouhan Chen, Juliana Freire. Proactive Discovery of Fake News Domains from Real-Time Social Media Feeds. WWW, 2020.

Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire. Real-Time Clustering for Large Sparse Online Visitor Data. WWW, 2020.

Sungsoo Ray Hong, Sonia Castelo, Vito D’Orazio, Christopher Bethune, Aécio S. R. Santos, Scott Langevin, David Jonker, Enrico Bertini, Juliana Freire. Towards Evaluating Exploratory Model Building Process with AutoML Systems. arXiv preprint  arXiv:2009.00449, 2020.

Laís Rocha, Mirella Moro, Juliana Freire. Profiling for Confidence: Debugging Relationships among Urban Spatio-Temporal Datasets. Anais do XXXIII Concurso de Teses e Dissertações (SBC), 2020.

Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini. Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. ACM  Human-Computer Interaction, 2020.

Aritra Dasgupta, Jorge Poco, Bernice E. Rogowitz, Kyungsik Han, Enrico Bertini, Cláudio T. Silva. The Effect of Color Scales on Climate Scientists’ Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE  Visualization and Computer Graphics, 2020.

Michael Correll, Enrico Bertini, Steven Franconeri. Truncating the Y-Axis: Threat or Menace? CHI, 2020.

Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini. ViCE: Visual Counterfactual Explanations for Machine Learning Models. IUI, 2020.

Brian Barr, Ke Xu, Cláudio T. Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach. Towards Ground Truth Explainability on Tabular Data. arXiv preprint  arXiv:2007.10532, 2020.

Gromit Yeuk-Yin Chan, Jun Yuan, Kyle Overton, Brian Barr, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, Cláudio T. Silva. SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level. arXiv preprint  arXiv:2007.10609, 2020.

Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva. Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together. arXiv preprint  arXiv:2007.10614, 2020.

Enrico Bertini, Michael Correll, Steven Franconeri. Why Shouldn’t All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. arXiv preprint  arXiv:2008.11310, 2020.

Hossein Siadati, Jay Koven, Christian Felix da Silva, Markus Jakobsson, Enrico Bertini, David Maimon, Nasir Memon. A Framework for Analysis Attackers’ Accounts. Security, Privacy and User Interaction, 2020.

Eric K. Tokuda, Yitzchak Lockerman, Gabriel B. A. Ferreira, Ethan Sorrelgreen, David Boyle, Roberto Marcondes Cesar Junior, Cláudio T. Silva. A New Approach for Pedestrian Density Estimation Using Moving Sensors and Computer Vision. ACM Spatial Algorithms Systems, 2020.

Bowen Yu, Cláudio T. Silva. FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System. IEEE  Visualization and Computer Graphics, 2020.

Alexander Bock, Anders Ynnerman, Emil Axelsson, Jonathas Costa, Gene Payne, Micah Acinapura, Vivian Trakinski, Carter Emmart, Cláudio T. Silva, Charles D. Hansen. OpenSpace: A System for Astrographics. IEEE  Visualization and Computer Graphics, 2020.

Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu, Preeti Raghavan, Viswanath Aluru, Cláudio T. Silva. Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries. IEEE  Visualization and Computer Graphics, 2020.

Zhicheng Liu, Fabio Miranda, Weiting Xiong, Junyan Yang, Qiao Wang, Cláudio T. Silva. Learning Geo-Contextual Embeddings for Commuting Flow Prediction. AAAI,  2020.

Fabio Miranda, Maryam Hosseini, Marcos Lage, Harish Doraiswamy, Graham Dove, Cláudio T. Silva. Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data. CHI, 2020.

Francis Williams, Alexander Bock, Harish Doraiswamy, Cassandra Donatelli, Kayla Hall, Adam Summers, Daniele Panozzo, Cláudio T. Silva. Unwind: Interactive Fish Straightening. CHI, 2020.

Nina Wiedemann, Carlos A. Dietrich, Cláudio T. Silva. A Tracking System For Baseball Game Reconstruction. arXiv preprint  arXiv:2003.03856,  2020.

Brian Barr, Ke Xu, Cláudio T. Silva, Enrico Bertini, Robert Reilly, C. Bayan Bruss, Jason D. Wittenbach. Towards Ground Truth Explainability on Tabular Data. arXiv preprint  arXiv:2007.10532 , 2020.

Harish Doraiswamy, Julien Tierny, Paulo J. S. Silva, Luis Gustavo Nonato, Cláudio T. Silva. TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data. arXiv preprint  arXiv:2009.01512, 2020.

Jonathas Costa, Alexander Bock, Carter Emmart, Charles D. Hansen, Anders Ynnerman, Cláudio T. Silva. Interactive Visualization of Atmospheric Effects for Celestial Bodies. IEEE Visualization and Computer Graphics, 2020.

Peter Xenopoulos, Harish Doraiswamy, Cláudio T. Silva. Valuing Player Actions in Counter-Strike: Global Offensive. arXiv preprint  arXiv:2011.01324, 2020.

Eric Tokuda, Henrique Arruda, Cesar Comin, Claudio T Silva, Luciano Costa. Spatial distribution of graffiti: A complex network approach. arXiv preprint  arXiv:2010.08583, 2020.

Luis Gustavo Nonato, Fabiano Carmo, Claudio T Silva. Glog: Laplacian of gaussian for spatial pattern detection in spatio-temporal data. IEEE  Visualization and Computer Graphics, 2020.

Devin M. Mann, Ji Chen, Rumi Chunara, Paul A. Testa, Oded Nov. COVID-19 transforms health care through telemedicine: Evidence from the field. JAMIA,  2020.

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara. Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning. CHIL,  2020.

Yijun Tian, Rumi Chunara. Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes. ICWSM, 2020.

Caitlin Kuhlman, Latifa Jackson, Rumi Chunara. No Computation without Representation: Avoiding Data and Algorithm Biases through Diversity. KDD, 2020.

Vishwali Mhasawade, Yuan Zhao, Rumi Chunara. Machine Learning in Population and Public Health. arXiv preprint arXiv:2008.07278, 2020.

Vishwali Mhasawade, Rumi Chunara. Causal Multi-Level Fairness. arXiv preprint arXiv:2010.07343, 2020.

Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. arXiv preprint arXiv:2011.07586, 2020.

Rumi Chunara, Yuan Zhao, Ji Chen, Katharine Lawrence, Paul A Testa, Oded Nov, Devin M Mann. Telemedicine and Healthcare Disparities: A cohort study in a large healthcare system in New York City during COVID-19. JAMIA,  2020.

Nabeel Abdur Rehman, Henrik Salje, Moritz UG Kraemer, Lakshminarayanan Subramanian, Umar Saif, Rumi Chunara. Quantifying the localized relationship between vector containment activities and dengue incidence in a real-world setting: A spatial and time series modelling analysis based on geo-located data from Pakistan. PLOS Neglected Tropical Diseases, 2020.

Yuan Zhao, Erica Wood, Nicholas Mirin, Rajesh Vedanthan, Stephanie Cook, Rumi Chunara. Machine Learning for Integrating Social Determinants in Cardiovascular Disease Prediction Models: A Systematic Review. MedRxiv, 2020.

Rumi Chunara, Stephanie Cook. Using Digital Data to Protect and Promote the Most Vulnerable in the Fight Against COVID-19. Frontiers in Public Health, 2020.

Ashlynn Daughton, Rumi Chunara, Michael Paul. Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study. JMIR Public Health and Surveillance, 2020.

Vishwali Mhasawade, Anas Elghafari, Dustin Duncan, Rumi Chunara. Role of the Built and Online Social Environments on Expression of Dining on Instagram. IJERPH, 2020.

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara. Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. ACM Conference on Health, Inference, and Learning, 2020.

Haoyue Ping, Julia Stoyanovich, Benny Kimelfeld. Supporting Hard Queries over Probabilistic Preferences. VLDB, 2020.

Julia Stoyanovich, Bill Howe, H. V. Jagadish. Responsible Data Management. VLDB, 2020.

Amir Aghasadeghi, Vera Zaychik Moffitt, Sebastian Schelter, Julia Stoyanovich. Zooming Out on an Evolving Graph. EDBT, 2020.

Sebastian Schelter, Yuxuan He, Jatin Khilnani, Julia Stoyanovich. FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions. EDBT, 2020.

Vishal Chakraborty, Theo Delemazure, Benny Kimelfeld, Phokion G. Kolaitis, Kunal Relia, Julia Stoyanovich. Algorithmic Techniques for Necessary and Possible Winners. arXiv preprint arXiv:2005.06779, 2020.

Ke Yang, Joshua R. Loftus, Julia Stoyanovich. Causal intersectionality for fair ranking. arXiv preprint arXiv:2006.08688, 2020.

Julia Stoyanovich, Jay J Van Bavel, Tessa V West. The imperative of interpretable machines. Nature Machine Intelligence, 2020.

Ke Yang, Biao Huang, Julia Stoyanovich, Sebastian Schelter. Fairness-Aware Instrumentation of Preprocessing Pipelines for Machine Learning. HILDA, 2020.

Astrid Schmied, Takahiro Soda, Guido Gerig, Martin Styner, Meghan R. Swanson, Jed T. Elison, Mark D. Shen, Robert C. McKinstry, John R. Pruett Jr., Kelly N. Botteron, Annette M. Estes, Stephen R. Dager, Heather C. Hazlett, Robert T. Schultz, Joseph Piven, Jason J. Wolff. Sex differences associated with corpus callosum development in human infants: A longitudinal multimodal imaging study. NeuroImage, 2020.

Liying Peng, Lanfen Lin, Yusen Lin, Yue Zhang, Roza M. Vlasova, Juan Prieto, Yen-Wei Chen, Guido Gerig, Martin Styner. Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images. ASMUS, 2020.

Heejong Kim, Sungmin Hong, Martin Styner, Joseph Piven, Kelly N. Botteron, Guido Gerig. Hierarchical Geodesic Modeling on the Diffusion Orientation Distribution Function for Longitudinal DW-MRI Analysis. MICCAI, 2020.

Anuja Sharma, Guido Gerig. Trajectories from Distribution-Valued Functional Curves: A Unified Wasserstein Framework. MICCAI, 2020.

Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa, Joel S. Schuman, James Fishbaugh, Guido Gerig. Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography. OMIA, 2020.

A Cárdenas-de-la-Parra, JD Lewis, VS Fonov, KN Botteron, RC McKinstry, G Gerig, JR Pruett Jr, SR Dager, JT Elison, MA Styner, AC Evans, J Piven, DL Collins. A voxel-wise assessment of growth differences in infants developing autism spectrum disorder. NeuroImage, 2020.

Jessica B Girault, Meghan R Swanson, Shoba S Meera, Rebecca L Grzadzinski, Mark D Shen, Catherine A Burrows, Jason J Wolff, Juhi Pandey, Tanya St John, Annette Estes, Lonnie Zwaigenbaum, Kelly N Botteron, Heather C Hazlett, Stephen R Dager, Robert T Schultz, John N Constantino, Joseph Piven. Quantitative trait variation in ASD probands and toddler sibling outcomes at 24 months. Journal of Neurodevelopmental Disorders, 2020.

Amanda Bordelon, Sungmin Hong, Yohann Bearzi, Clement Vachet, Guido Gerig. Visualizing Air Voids and Synthetic Fibers from X-Ray Computed Tomographic Images of Concrete. IEEE IETC, 2020.

Guillaume Gisbert, Neel Dey, Hiroshi Ishikawa, Joel Schuman, James Fishbaugh, Guido Gerig. Improved Denoising of Optical Coherence Tomography via Repeated Acquisitions and Unsupervised Deep Learning. Investigative Ophthalmology and Visual Science, 2020.

Adam T Eggebrecht, Jed T Elison, Eric Feczko, Alexandre Todorov, Jason J Wolff, Sridhar Kandala, Chloe M Adams, Abraham Z Snyder, John D Lewis, Annette M Estes, Lonnie Zwaigenbaum, Kelly N Botteron, Robert C McKinstry, John N Constantino, Alan Evans, Heather C Hazlett, Stephen Dager, Sarah J Paterson, Robert T Schultz, Martin A Styner, Guido Gerig, Samir Das, Penelope Kostopoulos, IBIS Network, Bradley L Schlaggar, Steven E Petersen, Joseph Piven, John R Pruett Jr. Corrigendum: Joint Attention and Brain Functional Connectivity in Infants and Toddlers. Cerebral Cortex, 2020.

Mahmoud Mostapha, Sun Hyung Kim, Alan C Evans, Stephen R Dager, Annette M Estes, Robert C McKinstry, Kelly N Botteron, Guido Gerig, Stephen M Pizer, Robert T Schultz, Heather C Hazlett, Joseph Piven, Jessica B Girault, Mark D Shen, Martin A Styner. A Novel Method for High-Dimensional Anatomical Mapping of Extra-Axial Cerebrospinal Fluid: Application to the Infant Brain. Frontiers in Neuroscience, 2020.

Heejong Kim, Martin Styner, Joseph Piven, Guido Gerig. A Framework to Construct a Longitudinal DW-MRI Infant Atlas Based on Mixed Effects Modeling of dODF Coefficients. Computational Diffusion MRI, 2020.

Mike Brachmann, Carlos Bautista, Sonia Castelo, Su Feng, Juliana Freire, Boris Glavic, Oliver Kennedy, Heiko Mueller, Rémi Rampin, William Spoth, Ying Yang. Data Debugging and Exploration with Vizier. SIGMOD Conference, 2019.

Lais M. A. Rocha, Aline Bessa, Fernando Chirigati, Eugene OFriel, Mirella M. Moro, Juliana Freire. Understanding Spatio-Temporal Urban Processes. BigData, 2019.

João Pimentel, Leonardo Murta, Vanessa Braganholo, Juliana Freire. A large-scale study about quality and reproducibility of jupyter notebooks. MSR, 2019.

Aécio Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Ray Hong, Cláudio T. Silva, Enrico Bertini, Juliana Freire. Visus: An Interactive System for Automatic Machine Learning Model Building and Curation. HILDA SIGMOD, 2019.

Iddo Drori, Lu Liu, Yi Nian, Sharath C. Koorathota, Jie S. Li, Antonio Khalil Moretti, Juliana Freire, Madeleine Udell. AutoML using Metadata Language Embeddings. arXiv preprint arXiv:1910.03698, 2019.

Aline Bessa, Juliana Freire, Divesh Srivastava, Tamraparni Dasu. Efficient Discovery of Meaningful Outlier Relationships. ACM/IMS Transactions on Data Science, 2019.

Jay Koven, Cristian Felix, Hossein Siadati, Markus Jakobsson, Enrico Bertini. Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities. IEEE Visualization and Computer Graphics, 2019.

Yao Ming, Huamin Qu, Enrico Bertini. RuleMatrix: Visualizing and Understanding Classifiers with Rules. IEEE Visualization and Computer Graphics, 2019.

Paolo Buono, Alessandra Legretto, Enrico Bertini, Maria Francesca Costabile. Visual techniques to compare predictive models. CHItaly, 2019.

Juan Pablo Bello, Cláudio T. Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, Harish Doraiswamy. SONYC: a system for monitoring, analyzing, and mitigating urban noise pollution. ACM Commun, 2019.

Lis Custódio, Sinésio Pesco, Cláudio T. Silva. An extended triangulation to the Marching Cubes 33 algorithm. Journal of the Brazilian Computer Society, 2019.

Fabio Miranda, Harish Doraiswamy, Marcos Lage, Luc Wilson, Mondrian Hsieh, Cláudio T. Silva. Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time. IEEE Visualization and Computer Graphics, 2019.

Francis Williams, Teseo Schneider, Cláudio T. Silva, Denis Zorin, Joan Bruna, Daniele Panozzo. Deep Geometric Prior for Surface Reconstruction. CVPR, 2019.

Germain Garcia, Jaqueline Silveira, Jorge Poco, Afonso Paiva, Marcelo Nery, Claudio T Silva, Sergio Franca, Luis Nonato. CrimAnalyzer: Understanding crime patterns in São Paulo. IEEE Computer Architecture Letters, 2019.

Eric K Tokuda, Claudio Silva, Roberto Cesar-Jr. Usage of street-level imagery for city-wide graffiti mapping. LatinX in AI Research at ICML, 2019.

Mohammad Akbari, Rumi Chunara. Using Contextual Information to Improve Blood Glucose Prediction. MLHC, 2019.

Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara. Fair Predictors under Distribution Shift. Fair ML for Health Workshop NeurIPS, 2019.

Julia Stoyanovich, Bill Howe. Nutritional Labels for Data and Models. IEEE Computer Society Technical Committee on Data Engineering, 2019.

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich. Towards Responsible Data-driven Decision Making in Score-Based Systems. IEEE Computer Society Technical Committee on Data Engineering, 2019.

Julia Stoyanovich. TransFAT: Translating Fairness, Accountably and Transparency into Data Science Practice. PIE CAiSE, 2019

H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich. The Responsibility Challenge for Data. SIGMOD Conference, 2019.

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das. Designing Fair Ranking Schemes. SIGMOD Conference, 2019.

Julia Stoyanovich, Armanda Lewis. Teaching Responsible Data Science: Charting New Pedagogical Territory. arXiv preprint arXiv:1912.10564, 2019.

Sadhana Ravikumar, Laura E. M. Wisse, Yang Gao, Guido Gerig, Paul A. Yushkevich. Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided Interpolation. ISBI, 2019.

James Fishbaugh, Guido Gerig. Acceleration Controlled Diffeomorphisms For Nonparametric Image Regression. ISBI, 2019.

Sungmin Hong, James Fishbaugh, Jason J. Wolff, Martin A. Styner, Guido Gerig. Hierarchical Multi-geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates. MICCAI, 2019.

James Fishbaugh, Martin Styner, Karen Grewen, John H. Gilmore, Guido Gerig. Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development. MBIA MICCAI, 2019.

Neel Dey, Jeffrey Messinger, R. Theodore Smith, Christine A. Curcio, Guido Gerig. Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy. MICCAI, 2019.

Martijn A Cloos, Jakob Assländer, Batool Abbas, James Fishbaugh, James S Babb, Guido Gerig, Riccardo Lattanzi. Rapid Radial T1 and T2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. Journal of Magnetic Resonance Imaging, 2019.

Heejong Kim, Joseph Piven, Guido Gerig. Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization. Medical Imaging, 2019.

Francis Williams, Matthew Trager, Claudio Silva, Daniele Panozzo, Denis Zorin, Joan Bruna. Gradient Dynamics of Shallow Univariate ReLU Networks. NeurIPS, 2019.

PA Yushkevich, A Pashchinskiy, I Oguz, S Mohan, JE Schmitt, JM Stein, D Zukić, J Vicory, M McCormick, N Yushkevich, N Schwartz, Y Gao, G Gerig. User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. Neuroinformatics, 2019.

CJ McKinnon, AT Eggebrecht, A Todorov, JJ Wolff, JT Elison, CM Adams, AZ Snyder, AM Estes, L Zwaigenbaum, K N Botteron, RC McKinstry, N Marrus, A Evans, HC Hazlett, SR Dager, SJ Paterson, J Pandey, RT Schultz, MA Styner, G Gerig, BL Schlaggar, SE Petersen, J Piven, JR Pruett Jr, IBIS Network. Restricted and repetitive behavior and brain functional connectivity in infants at risk for developing autism spectrum disorder. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2019.

JJ Wolff, AF Dimian, KN Botteron, SR Dager, JT Elison. A longitudinal study of parent‐reported sensory responsiveness in toddlers at‐risk for autism. Journal of Child Psychology and Psychiatry, 2019.

J Fishbaugh, B Paniagua, M Mostapha, M Styner, V Murphy, J Gilmore, G Gerig. Model selection for spatiotemporal modeling of early childhood sub-cortical development. Medical Imaging 2019: Image Processing, 2019.

B Abbas, J Fishbaugh, C Petchprapa, R Lattanzi, G Gerig. Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging . Medical Imaging 2019: Image Processing, 2019.

H Kim, J Piven, G Gerig. Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization. Medical Imaging 2019: Image Processing, 2019.

N Dey, S Li, K Bermond, R Heintzmann, CA Curcio, T Ach, G Gerig. Multi-modal image fusion for multispectral super-resolution in microscopy. Medical Imaging 2019: Image Processing, 2019.

N Dey, S Hong, T Ach, Y Koutalos, CA Curcio, RT Smith, G Gerig. Tensor Decomposition of Hyperspectral Images to study Autofluorescence in Age-related Macular Degeneration. Medical Image Analysis, 2019.

Y Guan, A Asudeh, P Mayuram, HV Jagadish, J Stoyanovich, G Miklau, G Das. MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference, 2019.

S Abiteboul, J Stoyanovich. Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation. Journal of Data and Information Quality, 2019.

K Yang, V Gkatzelis, J Stoyanovich. Balanced Ranking with Diversity Constraints. IJCAI, 2019.

JF Pimentel, J Freire, L Murta, V Braganho. A Survey on Collecting, Managing, and Analyzing Provenance from Scripts. ACM Comput. Surv., Vol. 1, No. 1, Article 1. Publication date: January 2019.

K Pham, A Santos, J Freire. Bootstrapping Domain-Specific Content Discovery on the Web. arXiv preprint arXiv:1902.09667, 2019.

S Castelo, T Almeida, A Elghafari, A Santos, K Pham, E Nakamura, J Freire. A Topic-Agnostic Approach for Identifying Fake News Pages. Companion Proceedings of The 2019 World Wide Web Conference, 2019.

I Drori, Y Krishnamurthy, R Lourenco, R Rampin, K Cho, CT Silva, J Freire. Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. 6th ICML Workshop on Automated Machine Learning, 2019.

R Lourenço, J Freire, D Shasha. Debugging Machine Learning Pipelines. International Workshop on Data Management for End-to-End Machine Learning, 2019.

A Dal Col, P Valdivia, F Petronetto, F Dias, CT Silva, LG Nonato. Wavelet-Based Visual Data Exploration. Vertex-Frequency Analysis of Graph Signals, 2019.

C Mydlarz, M Sharma, Y Lockerman, B Steers, CT Silva, JP Bello. The life of a New York City noise sensor network. – Sensors, 2019.

EK Tokuda, RM Cesar, CT Silva. Quantifying the presence of graffiti in urban environments. 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019.

F Williams, A Bock, H Doraiswamy, C Donatelli, A Summers, D Panozzo, CT Silva. Unwind: Interactive Fish Straightening. arXiv preprint arXiv:1904.04890, 2019.

J Piazentin Ono, A Gjoka, J Salamon, C Dietrich, CT Silva. HistoryTracker: Minimizing Human Interactions in Baseball Game Annotation. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019.

K Relia, Z Li, SH Cook, R Chunara. Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 US Cities. arXiv preprint arXiv:1902.00119, 2019.

N Abdur Rehman, U Saif, R Chunara. Deep Landscape Features for Improving Vector-borne Disease Prediction. IEEE Conference on Computer, 2019.

F Di Castro, E Bertini. Surrogate Decision Tree Visualization. IUI Workshops, 2019.

F Di Castro, E Bertini. Surrogate decision tree visualization interpreting and visualizing black-box classification models with surrogate decision tree. CEUR Workshop Proceedings, 2019.

Juliana Freire, Fernando Chirigati. Provenance and the Different Flavors of Computational Reproducibility. IEEE Data Engineering Bulletin, 2018.

I Drori, Y Krishnamurthy, R Rampin, R de Paula Lourenco, J Piazentin Ono, K Cho, C Silva, J Freire. AlphaD3M: Machine learning pipeline synthesis. AutoML Workshop at ICML, 2018.

K Pham, A Santos, J Freire.  Learning to Discover Domain-Specific Web Content. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018.

Remi Rampin, Fernando Chirigati, Vicky Steeves, Juliana Freire.  ReproServer: Making Reproducibility Easier and Less Intensive. arXiv preprint arXiv:1808.01406, 2018

Harish Doraiswamy, Juliana Freire, Marcos Lage, Fabio Miranda, Claudio Silva. Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective
Authors. IEEE computer graphics and applications, 2018.

L Crissaff, L Wood Ruby, S Deutch, R Luke DuBois, J Fekete, J Freire, C Silva.  ARIES: enabling visual exploration and organization of art image collections. IEEE computer graphics and applications, 2018.

R Chang, J Fekete, J Freire, C E Scheidegger. Connecting Visualization and Data Management Research (Dagstuhl Seminar 17461). Dagstuhl Reports, 2018.

S Sadiq, T, X Luna Dong, J Freire, I F Ilyas, S Link, M J Miller, F Naumann, X Zhou, D Srivastava. Data quality: The role of empiricism. ACM SIGMOD Record, 2018

F Miranda, M Lage, H Doraiswamy, C Mydlarz, J Salamon, Y Lockerman, J Freire, C T Silva. Time Lattice: A Data Structure for the Interactive Visual Analysis of Large Time Series. Computer Graphics Forum, 2018.

H Doraiswamy, E Tzirita Zacharatou, F Miranda, M Lage, A Ailamaki, C T Silva, J Freire. Interactive visual exploration of spatio-temporal urban data sets using urbane. Proceedings of the 2018.

J Freire, Y Krishnamurthy, K Pham, A Santos, S Quispe. Towards Locating and Exploring Hard-to-Find Information on the Web. New York University, 2018.

EK Tokuda, C Júnior, R Marcondes, C Silva. Identificação automática de pichação a partir de imagens urbanas. SIBGRAPI Digital Library Archive, 2018.

J H Gomes, V H de Brito, C Adriano Rufino da Silva. Prevencao de patologias em estruturas metálica. 2018.

H Brízido, C Silva, MJ Sousa, R Ribeiro, JG Sousa, G Sousa. Hemoglobinopathies: A Five Year Revised Experience Of Centro Medicina Laboratorial Germano De Sousa. Clinical Chemistry and Laboratory Medicine, 2018.

F Miranda, H Doraiswamy, M Lage, L Wilson, M Hsieh, CT Silva. Shadow accrual maps: Efficient accumulation of city-scale shadows over time. IEEE transactions on visualization and computer graphics, 2018.

EK Tokuda, GBA Ferreira, C Silva, RM Cesar. A novel semi-supervised detection approach with weak annotation. 2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 2018.

J Zhou, M Campen, D Zorin, C Tu, CT Silva. Quadrangulation of non-rigid objects using deformation metrics. Computer Aided Geometric Design, 2018.

JP Bello, C Silva, O Nov, RL DuBois, A Arora, J Salamon, C Mydlarz, H Doraiswamy. SONYC: A system for the monitoring, analysis and mitigation of urban noise pollution. ArXiv preprint arXiv:1805.00889, 2018.

JP Ono, C Dietrich, CT Silva. Baseball Timeline: Summarizing Baseball Plays Into a Static Visualization. Computer Graphics Forum, 2018.

P Ceccon Ribeiro, ML Biles, C Lang, C Silva, JL Plass. Visualizing log-file data from a game using timed word trees. Information Visualization, 2018.

A Dasgupta, J Poco, B Rogowitz, K Han, E Bertini, CT Silva. The Effect of Color Scales on Climate Scientists’ Objective and Subjective Performance in Spatial Data Analysis Tasks. IEEE transactions on visualization and computer graphics, 2018.

EK Tokuda, Y Lockerman, G Ferreira, E Sorrelgreen, D Boyle, CT Silva. A new approach for pedestrian density estimation using moving sensors and computer vision. arXiv preprint arXiv:1811.05006, 2018.

F Williams, T Schneider, C Silva, D Zorin, J Bruna. Deep Geometric Prior for Surface Reconstruction. arXiv preprint arXiv:1811.10943, 2018.

D Tomácio, C Silva, D Santos, J Esrom, A de Jesus Rodrigues. Atuação do pedagogo frente a adolescentes em privação da liberdade: análises a partir do Regimento Único dos Centros Socioeducativos de Minas Gerais. Revista Interdisciplinar Sulear, 2018.

Y Ming, H Qu, E Bertini. RuleMatrix: visualizing and understanding classifiers with rules
. IEEE transactions on visualization and computer graphics, 2018.

J Koven, C Felix, H Siadati, M Jakobsson, E Bertini. Lessons Learned Developing a Visual Analytics Solution for Investigative Analysis of Scamming Activities. IEEE transactions on visualization and computer graphics, 2018.

C Felix, A Dasgupta, E Bertini. The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections. The 31st Annual ACM Symposium on User Interface Software and Technology. ACM, 2018.

J Krause, A Perer, E Bertini. A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models. ACM KDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2018.

C Felix, S Franconeri, E Bertini. Taking word clouds apart: An empirical investigation of the design space for keyword summaries . IEEE transactions on visualization and computer graphics, 2018.

DT Duncan, WC Goedel, R Chunara. Quantitative Methods for Measuring Neighborhood Characteristics in Neighborhood Health Research. Neighborhoods and Health, 2018.

N Appleton, J Birkemeier, C McMurry, R Chunara.N Parikh, E Goldmann, B Boden-Albala FEASIBILITY OF A SOCIAL NETWORK BASED VASCULAR RISK REDUCTION PROGRAM FOR MILD STROKE SURVIVORS. INTERNATIONAL JOURNAL OF STROKE, 2018.

M Akbari, K Relia, A Elghafari, R Chunara. From the User to the Medium: Neural Profiling Across Web Communities
. Twelfth International AAAI Conference on Web and Social Media, 2018.

NA Rehman, H Salje, MUG Kraemer, L Subramanian, S Cauchemez, U Saif, R Chunara. Quantifying the impact of dengue containment activities using high-resolution observational data. bioRxiv, 2018.

AR Daughton, MJ Paul, R Chunara. What Do People Tweet When They’re Sick? A Preliminary Comparison of Symptom Reports and Twitter Timelines. ICWSM Social Media and Health Workshop, 2018.

NA Rehman, MM Aliapoulios, D Umarwani, R Chunara. Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts. arXiv preprint arXiv:1806.08835, 2018.

S Feng, KA Grépin, R Chunara. Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS. npj Digital Medicine, 2018.

K Relia, M Akbari, D Duncan, R Chunara. Socio-spatial Self-organizing Maps: Using Social Media to Assess Relevant Geographies for Exposure to Social Processes. Proceedings of the ACM on Human-Computer interaction, 2018.

NA Rehman, K Relia, R Chunara. Creating full individual-level location timelines from sparse social media data . Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018.

V Mhasawade, NA Rehman, R Chunara. Population-aware Hierarchical Bayesian Domain Adaptation. arXiv preprint arXiv:1811.08579, 2018.

J An, R Chunara, DJ Crandall, D Frajberg, M French. Reports of the workshops held at the 2018 international AAAI conference on web and social media. AI Magazine, 2018.

MR Swanson, MD Shen, JJ Wolff, B Boyd, M Clements, G Gerig. Naturalistic language recordings reveal “hypervocal” infants at high familial risk for autism. Child development, 2018.

M Mostapha, MD Shen, SH Kim, M Swanson, D Louis Collins, V Fonov, G Gerig, J Piven, M A Styner. A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images. Medical Imaging 2018: Image Processing, 2018.

Y Gao, JM Phillips, Y Zheng, R Min, PT Fletcher, G Gerig. Fully convolutional structured LSTM networks for joint 4D medical image segmentation. 2018 IEEE 15th International Symposium on Biomedical Imaging, 2018.

S Hong, J Fishbaugh, G Gerig. 4D continuous medial representation by geodesic shape regression. 2018 IEEE 15th International Symposium on Biomedical Imaging, 2018.

J Fishbaugh, L Pascal, L Fischer, T Nguyen, C Boen, J Goncalves, G Gerig, B Paniagua. Estimating shape correspondence for populations of objects with complex topology. 2018 IEEE 15th International Symposium on Biomedical Imaging, 2018.

MR Swanson, JJ Wolff, MD Shen, M Styner, A Estes, G Gerig, R C McKinstry, K N Botteron, J Piven, H C Hazlett. Development of white matter circuitry in infants with fragile X syndrome. JAMA psychiatry, 2018.

S Hong, M Ravier, H Ishikawa, C Girot, J Tauber, G Wollstein, JS Schuman, J Fishbaugh, G Gerig. Groupwise 3D Nonlinear Registration of OCT Image Series for Analyzing Dynamic Lamina Cribrosa Changes. Investigative Ophthalmology & Visual Science, 2018.

J Fishbaugh, S Hong, H Ishikawa, M Ravier, G Wollstein, JS Schuman, Guido Gerig. Stability Analysis of Lamina Cribrosa Structure in Repeated Optical Coherence Tomography Scans. Investigative Ophthalmology & Visual Science, 2018.

M Ravier, S Hong, C Girot, H Ishikawa, J Tauber, G Wollstein, J Schuman, J Fishbaugh, G Gerig. Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018.

J Vicory, L Pascal, P Hernandez, J Fishbaugh, J Prieto, M Mostapha, C Huang, H Shah, J Hong, Z Liu, L Michoud, J-C Fillion-Robin, G Gerig, H Zhu, SM Pizer, M Styner, B Paniagua. SlicerSALT: Shape AnaLysis Toolbox. International Workshop on Shape in Medical Imaging, 2018.

S Hong, J Fishbaugh, G Gerig. 4D Continuous Medial Representation Trajectory Estimation for Longitudinal Shape Analysis. International Workshop on Shape in Medical Imaging, 2018.

J Prieto, M Mostapha, C Huang, H Shah, J Hong, Z Liu, L Michoud, J-C Fillion-Robin, G Gerig, H Zhu, SM Pizer, M Styner, B Paniagua. SlicerSALT: Shape AnaLysis Toolbox. Shape in Medical Imaging: International WorkshopShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018.

MA Cloos, J Assländer, B Abbas, J Fishbaugh, JS Babb, G Gerig, R Lattanzi. Rapid Radial T1 and T2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. Journal of Magnetic Resonance Imaging, 2018.

A Asudeh, HV Jagadish, G Miklau, J Stoyanovich. On obtaining stable rankings. Proceedings of the VLDB Endowment, 2018.

Zacharatou, E. T., Doraiswamy, H., Ailamaki, A., Silva, C., Freire, J. GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons. In Proceedings of the VLDB Endowment. 11(3), 352-365. 2017.
doi: 10.14778/3157794.3157803

Rehman, N. A., Relia, K., Chunara, R. Using Sparse Digital Traces to Fill in Individual Level Mobility Timelines. 2017.

Kolawole, O., Oguntoye, M., Dam, T., Chunara, R. Etiology of Respiratory Tract Infections in the Community and Clinic in Ilorin, Nigeria. BioMed Central(BMC) Research Notes.  Ilorin, Nigeria. 2017
doi: 10.1186/s13104-017-3063-1

Baltrusaitis, K., Santillana, M., Crawley, A.W., Chunara, R. , Smolinski, M., Brownstein, J.S. Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR Public Health Surveill. 2017.
doi: 10.2196/publichealth.7304

Liu, E.R. Weitzman, R. Chunara. High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data. Association of Computing Machinery Computer Supported Cooperative Work. pages-1320–1333. 2017.
doi: 10.1145/2998181.2998336

Felix, C., Franconeri, S., Bertini, E. Taking Word Clouds Apart: An Empirical Investigation of the Design Space for Keyword Summaries. In Proceedings of InfoVis, Institute of Electrical and Electronics Engineers Transactions on Visualization and Computer Graphics, 2017. 52(4), 549-553. 2017.
doi: 10.1109/TVCG.2017.2746018

Krause, J., Dasgupta, A., Swartz, J., Aphinyanaphongs, Y., Bertini, E. A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations. In Proceedings of Institute of Electrical and Electronics Engineers Conference and Visual Analytics Science and Technology, 201752(4), 549-553. 2017.
doi:

Tamagnini, P., Krause, J., Dasgupta, A., Bertini, E. Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations. In Proceedings of Special Interest Group on Management of Data Workshop on Human-In-the-Loop Data Analytics, 2017. 52(4), 549-553. 2017.
doi:

Boy, J., Satterthwaite, M., Pandey, A. V., Nov, O., Emerson, J., Bertini, E. Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data? In Proceedings of Association of Computing Machinery Computer Human Interation Conference on Human Factors in Computing Systems, 2017. Denver, CO, USA.
doi: 10.1145/3025453.3025512

Yushkevich,P. A., Gerig, G. ITK-SNAP: An Intractive Medical Image Segmentation Tool to Meet the Need for Expert-Guided Segmentation of Complex Medical Images. Institute of Electrical and Electronics Engineers Pulse. 2017. 8(4), 54-57.
doi: 10.1109/MPUL.2017.2701493

Krause, J., Dasgupta, A., Fekete, J. D., Bertini, E. SeekAView: An Intelligent Dimensionality Reduction Strategy for Navigating HD Data Spaces In Proceedings of Institute of Electrical and Electronics Engineers Symposium on Large Data Analysis and Visualization, 2016. Baltimore, MD, USA.
doi: 10.1109/LDAV.2016.7874305

Shen, M. D., Kim, S. H., McKinstry, R. C., Gu, H., Hazlett, H. C., Nordahl, C. W., Emerson, R. E., Shaw, D., Elison, J. T., Swanson, M. R., Fonov, V. S., Gerig, G., Dager, S. R., Botteron, K. N., Paterson, S., Schultz, R. T., Evans, A. C., Estes, A. M., Zwaigenbaum, L., Styner, M. A., Amaral, D. G., Piven, J., IBIS Network. Increased Extra-axial Cerebrospinal Fluid in High-Risk Infants who Later Develop Autism. Biol Psychiatry, 2017. 82(3), 186-193.
doi: 10.1016/j.biopsych.2017.02.1095

Lewis, J. D., Evans, A. C., Pruett, J. R., Botteron, K. N., McKinstry, R. C., Zwaigenbaum, L., Estes, A., Collins, D. L., Kostopoulos, P., Gerig, G., Dager, S., Paterson, S., Schultz, R. T., Styner, M., Hazlett, H., Piven, J., IBIS Network. The Emergence of Network Inefficiencies in Infants with Autism Spectrum Disorder. Biol Psychiatry, 2017. 82(3), 176-185.
doi: 10.1016/j.biopsych.2017.03.006

Fishbaugh, J., Durrleman, S., Prastawa, M., Gerig, G. Geodesic Shape Regression with Multiple Geometries and Sparse Parameters. Med. Image Anal., Elsevier, 2017. (39), 1-17.
doi: 10.1016/j.media.2017.03.008

Emerson, R. W., Adams, C., Nishino, T., Hazlett, H. C., Wolff, J. J., Zwaigenbaum, L., Constantino, Shen, M. D., Swanson, M. R., Elison, J. T., Kandala, S., Estes, A. M., Botteron, K. N., Collins, L., Dager, S. R., Evans, A. C., Gerig, G., Gu, H., McKinstry, R. C., Paterson, S., Schultz, R. T., Styner, M., IBIS Network, Schlaggar, B. L., Pruett Jr, J. R., Piven, J. Functional Neuroimaging of High-risk 6-Month-old Infants Predicts a Diagnosis of Autism at 24 Months of Age. Science Translational Medicine, 9(393). 2017.
doi: 10.1126/scitranslmed.aag2882

Girot C., Ishikawa H., Fishbaugh J., Wollstein G., Schuman J., Gerig G.. Spatiotemporal Analysis of Structural Changes of the Lamina Cribrosa. Infant and Ophthalmic Medical Image Analysis. FIFI 2017, OMIA 2017.
doi: 10.1007/978-3-319-67561-9_21

Fishbaugh J., Prastawa M., Wang B., Reynolds P., Aylward S., Gerig G. Data-Driven Rank Aggregation with Application to Grand Challenges. Medical Image Computing and Computer-Assisted Intervention, 2017.
doi:

Vardhan A., Fishbaugh J., Vachet C., Gerig G. Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth. Medical Image Computing and Computer-Assisted Intervention, 2017. (10433). 2017.
doi:

Dey, N. S., Hong, S., Tong, Y., Mohammed, T., Heintzmann, R., Hammer, M., Gerig, G. et al. Consistent Automatic Spectral Signature Recovery of Human retinal pigment epithelium (RPE) Lipofuscin Components and Drusen in Donors with Age-related Macular Degeneration (AMD) using Multi-Excitation Hyperspectral Autofluorescence (AF) Imaging. Investigative Ophthalmology & Visual Science, 58(8), 399. 2017.
doi:

Tong, Y., Agee, J. M., Mohammed, T., Dey, N. S., Hong, S., Heintzmann, R., Hammer M., et al. Hyperspectral Autofluorescence (AF) and Mechanisms of Retinal Pigment Epithelium (RPE) Lipofuscin Loss in Age-Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science, 58(8), 404. 2017.
doi:

Ach, T., Hong, S., Heintzmann, R., Hillenkamp, J., Sloan, K. R., Dey, N. S., Gerig, G., Smith, T., Curcio, C., Bermond, K. High-resolution and multispectral imaging of autofluorescent retinal pigment epithelium (RPE) granules. Investigative Ophthalmology & Visual Science, 58(8), 3382. 2017.
doi:

Liu, E., Chunara R. Assessing Behavioral Stages From Social Media Data . Association of Computing Machinery Conference on Computer-Supported Cooperative Work and Social Computing at Portland, OR, USA. 1320-1333. 2017.
doi: 10.1145/2998181.2998336

B. Ray, Chunara, R. Predicting Acute Respiratory Infections from Participatory Data. International Society for Disease Surveillance Conference. Atlanta, USA. 2016.
doi: 10.5210/ojphi.v9i1.7650
Second Prize Award for Outstanding Student or Post-Degree Abstract

Ray, E., Chunara R. Network Inference from Multimodal data: A Review of Approaches from Infectious Disease Transmission. Journal of Biomedical Informatics. 2016.
doi: 10.1016/j.jbi.2016.09.004

Rehman N., Liu J., Chunara R. Using Propensity Score Matching to Understand the Relationship Between Online Health Information Sources and Vaccination Sentiment. Association for the advancement of Artificial Intelligence Spring Symposium at Stanford University Palo Alto, CA, USA. 52(4), 549-553. 2016.
doi: 10.1109/jbhi.2015.2404829

Felix C., Pey C., Bertini E. TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text. In Proceedings of Visual Analytics Science and Technology Institute of Electrical and Electronics Engineers, Transactions on Visualization and Computer Graphics, 23(1), 161-170. 2016.
doi: 10.1109/TVCG.2016.2598447

Krause J., Perer A., Bertini E. Using Visual Analytics to Interpret Predictive Machine Learning Models. Workshop on Human Interpretability in Machine Learning (WHI). 2016.
doi:

Rall, K., Satterthwaite, M. L., Pey, A. V., Emerson, J., Boy, J., Nov, O., Bertini E. Data Visualization for Human Rights Advocacy. Journal of Human Rights Practice, 8(2) 171–197. 2016.
doi: 10.1093/jhuman/huw011

Pey, A. V., Krause, J., Felix, C., Boy, J., Bertini, E. Towards Understanding Human Similarity Perception in the Analysis of Large Sets of Scatter Plots. In Proceedings of Proceedings of Association for Computing Machinery Conference on Human Factors in Computing Systems. 2016.
doi: 10.1145/2858036.2858155
Best Paper Award: Honorable Mention

Gerig, G., Fishbaugh, J., Sadeghi, N., Elsevier. Longitudinal Modeling of Appearance and Shape and its Potential for Clinical Use, Medical Image Analysis. Med. Image Anal., In Press. 2016.
doi: 10.1016/j.media.2016.06.014

Tong, Y., Ami, T. B., Hong, S., Heintzmann, R., Gerig, G., Ablonczy, Z., Curcio, Z. A., Ach, T., Smith, R. T. Hyperspectral Autofluorescence Imaging of Drusen and Retinal Pigment Epithelium in Donor. RETINA The Journal of Retinal and Vitreous Diseases. 2016.
doi: 10.1097/IAE.0000000000001325

Kim, S. H., Lyu I., Fonov, V. S., Vachet,C., Hazlett, H. C., Smith R. G., Piven J., Dager, S. R., McKinstry, R. C., Pruett Jr, J. R., Evans, A., C., Collins, L. D., Botteron, K. N., Schultz, R. T., Gerig, G., Styner, M. A., The IBIS Network. Development of Cortical Shape in the Human Brain from 6 to 24 Months of Age via a Novel Measure of Shape Complexity. Neuroimage. 2016.
doi:  10.1016/j.neuroimage.2016.04.053

Wang, B., Prastawa, M., Irimia, A., Saha, A., Liu, W., Goh, S. Y. M., Vespa, P. M., Horn, J. D. V., Gerig, G. Modeling 4D Pathological Changes by Leveraging Normative Models, Computer Vision and Image Understanding. Computer Vision and Image Understanding. 3-13. 2016.
doi: 10.1016/j.cviu.2016.01.007

Yushkevich, P. A., Gao, Y., Gerig, G. Itk-snap: An Interactive Tool for Semi-Automatic Segmentation of Multi-Modality Biomedical Images. In Proceedings of Institute of Electrical and Electronics Engineers Engineering in Medicine and Biology Society (EMBS) at Orlando, FL, USA. 2016.
doi: 10.1109/EMBC.2016.7591443

Elhabian, S., Vachet, C., Piven, J., Styner, M., Gerig, G.. Compressive Sensing based Q-space Resampling for handling fast bulk motion in HARDI acquisitions. In Proceedings of Institute of Electrical and Electronics Engineers International Symposium of Biomedical Imaging at Prague, Czech Republic. 2016.
doi: 10.1109/ISBI.2016.7493412

Gao, Y., Zhang, M., Fletcher, P. T., Gerig, G. Image Registration And Segmentation In Longitudinal MRI Using Temporal Appearance Modeling. In Proceedings of Institute of Electrical and Electronics Engineers International Symposium of Biomedical Imaging at Prague, Czech Republic. 2016.
doi: 10.1109/ISBI.2016.7493346

Bessa, A., Silva, F. D. M., Nogueira, R. F., Bertini, E., Freire J. RioBusData: Outlier Detection in Bus Routes of Rio de Janeiro. In Proceedings of Symposium on Visualization in Data Science, 9(393). 2016.
doi: doival

Chunara, R., Goldstein, E., Patterson-Lomba, O., & Brownstein, J. S. Estimating influenza attack rates in the United States using a participatory cohort. Scientific reports, 5-5940. 2016.
doi: 10.1038/srep09540

J., Rowe A., Brownstein J.S., Chunara R. Surveillance of Acute Respiratory Infections Using Community-Submitted Symptoms and Specimens for Molecular Diagnostic Testing. Public Library of Science(PLoS) Currents, 9(393). 2016.
doi: 10.1371/currents.outbreaks.0371243baa7f3810ba1279e30b96d3b6

Freire, J., Fuhr, N., Rauber A. Reproducibility of Data-Oriented Experiments in e-Science. Dagstuhl Reports, 6(1), 108–159. 2016.
doi: 10.4230/DagRep.6.1.108

Freire, J., Bessa, A., Chirigati, F., Vo, H., Zhao, K. Exploring What not to Clean in Urban Data: A Study Using New York City Taxi Trips. Institute of Electrical and Electronics Engineers, Data Engineering Bulletin, 2016. 39(2), 63-77. 2016.
doi: 10.1111/cgf.12628

Chirigati, F., Capone, R., Rampin, R., Freire, J., Shasha D. A collaborative approach to computational reproducibility. Information Systems, 59(3), 95-97. 2016.
doi: 10.1016/j.is.2016.03.002

Campen, M., Silva, C., Zorin D. Bijective Maps from Simplicial Foliations. Association of Computing Machinery Transactions on Graphics (Special Interest Group on Computer Graphics and Interactive Techniques),. 2016.
doi: 10.1145/2897824.2925890

Lage M. J., Ono, P., Cervone, D., Chiang, J., Dietrich, C., Silva, C. Statcast Dashboard: Exploration of Spatiotemporal Baseball Data. Institute of Electrical and Electronics Engineers Computer Graphics and Applications, 36(5), 28-37. 2016.
doi: 10.1109/MCG.2016.101

Oliveira, G., Sotomayor J., Torchelsen, R., Silva, C., Comba, J. Visual Analysis of Bike-Sharing Systems. Computers & Graphics, 9(393). 2016.
doi: 10.1016/j.cag.2016.08.005

Muralidharan P., Fishbaugh F., Kim E. Y., Paulsen J., Johnson H., Gerig, G., Fletcher, P. T. Bayesian Covariate Selection in Mixed-Effects Models For Longitudinal Shape Analysis. In Proceedings of Institute of Electrical and Electronics Engineers International Symposium of Biomedical Imaging at Prague, Czech Republic. 9(393). 2016.
doi: 10.1109/ISBI.2016.7493352

Vieira K., Barbosa L., Silva, A. S. D., Freire, J., Moura E. Finding seeds to bootstrap focused crawlers. World Wide Web, 19(3): 2016, 449-474. 2016.
doi: 10.1007/s11280-015-0331-7

Palomo, C., Guo, Z., Silva, C. T., Freire, J. Visually Exploring Transportation Schedules. Institute of Electrical and Electronics Engineers Transactions on Visualization and Computer Graphics, 22(1): 2016, 170-179. 2016.
doi: 10.1109/TVCG.2015.2467592

Douriez, M., Doraiswamy, H., Silva, C. T., Freire, J.. Anonymizing NYC Taxi Data: Does It Matter? In Institute of Electrical and Electronics Engineers International Conference on Data Science and Advanced Analytics, 2016. 2016.
doi: 10.1109/DSAA.2016.21

Hoang-Vu, T., Vo, H., Freire, J. A Unified Index for Spatio-Temporal Keyword Queries. In Association of Computing Machinery Conference on Information and Knowledge Management, 2016. 135-144. 2016.
doi: 10.1145/2983323.2983751

Krishnamurthy Y., Pham, K., Santos, A., Freire, J. Interactive Exploration for Domain Discovery on the Web. In Association of Computing Machinery KDD Workshop on Interactive Data Exploration and Analytics, 2016, 64-71. 2016.
doi:

Pham, K., Santos, A. S. R., Freire, J. Understanding Website Behavior based on User Agent. In Association of Computing Machinery Special Interest Group on Information Retrieval, 2016, 1053-1056. 2016.
doi: 10.1145/2911451.2914757

Chirigati, F., Doraiswamy, H., Damoulas T., Freire, J. Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. In Association of Computing Machinery Special Interest Group Management of Data, 2016. 1011-1025. 2016.
doi: 10.1145/2882903.2915245

Chirigati, F., Rampin, R., Shasha, D., Freire, J. ReproZip: Computational Reproducibility With Ease.  In Association of Computing Machinery Special Interest Group Management of Data, 2016. 2085-2088. 2016.
doi: 10.1145/2882903.2899401

Freire, J., Glavic, B., Kennedy, O., Mueller H. The Exception that Improves the Rule. In Association of Computing Machinery Special Interest Group Management of Data Workshop on Human-In-the-Loop Data Analytics, 2016.. 2016.
doi: 10.1145/2939502.2939509

Doraiswamy, H., Huy T. Vo, Silva, C. T., Freire, J. A GPU-Based Index to Support Interactive Spatio-Temporal Queries over Historical Data. In Proceedings of Institute of Electrical and Electronics Engineers International Conference on Data Engineering, 2016 at Helsinki, Finland. 1086-1097. 2016.
doi: 10.1109/ICDE.2016.7498315

Chirigati, F., Simeon, J., Hirzel, M., Freire, J. Virtual Lightweight Snapshots for Consistent Analytics in NoSQL Stores. In Proceedings of Institute of Electrical and Electronics Engineers International Conference on Data Engineering, 2016, 1310-1321. 2016.
doi:  10.1109/ICDE.2016.7498334

Santos, A., Pasini B., Freire, J. A First Study on Temporal Dynamics of Topics on the Web. In Proceedings of the 25th International Conference Companion on World Wide Web at Montréal, Québec, Canada. 849-854. 2016.
doi: 10.1145/2872518.2889291

Kohwalter, T., Oliveira, T., Freire, J., Clua, E., Murta L. Prov Viewer: a graph-based visualization tool for interactive exploration of provenance data. In Proceedings of the International Provenance and Annotation Workshop, 2016. 71-82. 2016.
doi: 10.1007/978-3-319-40593-3_6

Pimentel, J. F. N., Freire, J., Braganholo, V., Murta, L. Tracking and Analyzing the Evolution of Provenance from Scripts. In Proceedings of the International Provenance and Annotation Workshop, 2016. 16-28. 2016.
doi: 10.1007/978-3-319-40593-3_2

Pimentel, J. F. N., Freire, J., Braganholo, V., Murta, L. Fine-Grained Provenance Collection over Scripts Through Program Slicing. In Proceedings of The International Provenance and Annotation Workshop, 2016 at McLean, VA, USA. 199-203 2016.
doi: 0.1007/978-3-319-40593-3_21

B. Yu Silva, C. T. VisFlow – Web-based Visualization Framework for Tabular Data with a Subset Flow Model. Publication, 9(393). 2016. Institute of Electrical and Electronics Engineers Transactions on Visualization and Computer Graphics (Visual Analytics Science and Technology 2016) at NJ, USA. 251-260. 2016.
doi:10.1109/TVCG.2016.2598497

Mira, F., Doraiswamy, H., Lage, M., Zhao, K., Goncalves, B., Wilson, L., Hsieh, M., Silva, C. T. Urban Pulse: Capturing the Rhythm of Cities. Publication, 9(393). 2016.
doi: 10.1109/TVCG.2016.2598585

Berger, M., Tagliasacchi, A., Seversky, L., Alliez, P., Guennebaud, G., Levine, J., Sharf, A., Silva, C. T. State of the Art in Surface Reconstruction from Point Clouds. Computer Graphics Forum. 2016.
doi:

Dasgupta, A., Poco, J., Bertini, E., Silva, C. T. Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Computing in Science and Engineering. 18(1), 92-100. 2016.
doi: 10.1109/MCSE.2016.7

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