Publications

Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support
Ashish Sharma, Inna Wanyin Lin, Adam S. Miner, David C. Atkins, Tim Althoff
ArXiv 2022

Grand Challenges for Personal Informatics and AI
L. Mamykina, Daniel A. Epstein, P. Klasnja, Donna Sprujt-Metz, Jochen Meyer, M. Czerwinski, et al.
CHI Extended Abstracts 2022

Large-scale diet tracking data reveal disparate associations between food environment and diet
Tim Althoff, H. Nilforoshan, J. Hua, J. Leskovec
Nature communications 2022

Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors.
A. Mezlini, A. Shapiro, E. J. Daza, Eamon Caddigan, E. Ramirez, Tim Althoff, et al.
JAMA network open 2022

A Programmatic Approach to Applying Visualization Taxonomies to Interaction Logs
G. E. M. R. Borgo, T. Schreck, Sneha Gathani, S. Monadjemi, Alvitta Ottley, L. Battle
2022

An Adaptive Benchmark for Modeling User Exploration of Large Datasets
Joanna Purich, H. Mahmood, Diana Chou, C. Udeze, L. Battle
ArXiv 2022

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages
Junran Yang, Hyekang Joo, Sai S Yerramreddy, Siyao Li, Dominik Moritz, L. Battle
2022

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations
Deepthi Raghunandan, Zhe Cui, K. Sivaramakrishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, et al.
ArXiv 2022

Analyzing online programming communities to enhance visualization languages
L. Battle
Interactions 2022

Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health
Calvin Bao, Siyao Li, Sarah Flores, M. Correll, L. Battle
CHI 2022

Scalable Vega: Optimizing Declarative Visualization Languages
Junran Yang, Hyekang Joo, Sai S Yerramreddy, Siyao Li, Dominik Moritz, L. Battle
ArXiv 2022

A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs
Sneha Gathani, S. Monadjemi, Alvitta Ottley, L. Battle
2022

Testing theories of task in visual analytics
L. Battle, Alvitta Ottley
Interactions 2022

A Survey on Programmatic Weak Supervision
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander J. Ratner
ArXiv 2022

Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner
ArXiv 2022

What Makes Online Communities ‘Better’? Measuring Values, Consensus, and Conflict across Thousands of Subreddits
Galen Cassebeer Weld, Amy X. Zhang, Tim Althoff
ArXiv 2021

Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Chunjong Park, Morelle S. Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, et al.
WWW 2021

Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models
Galen Cassebeer Weld, Ellyn Ayton, Tim Althoff, M. Glenski
NLP4IF 2021

Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study
Nicasia Beebe-Wang, Alex Okeson, Tim Althoff, Su-In Lee
IEEE Journal of Biomedical and Health Informatics 2021

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma, Inna Wanyin Lin, Adam S. Miner, David C. Atkins, Tim Althoff
WWW 2021

MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches
Michael Merrill, Ge Zhang, Tim Althoff
KDD 2021

Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
Martin Schweinsberg, Michael Feldman, N. Staub, O. V. D. Akker, R. V. Aert, M. V. Assen, et al.
Organizational Behavior and Human Decision Processes 2021

Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities
Galen Cassebeer Weld, M. Glenski, Tim Althoff
ICWSM 2021

MULTIVERSE
Michael Merrill, Ge Zhang, Tim Althoff
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021

Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs.
E. Pierson, Tim Althoff, Daniel Thomas, P. Hillard, J. Leskovec
Nature human behaviour 2021

Widening Disparities in Online Information Access during the COVID-19 Pandemic
J. Suh, E. Horvitz, R. White, Tim Althoff
medRxiv 2021

Estimating the Burden of Influenza on Daily Activity at Population Scale Using Commercial Wearable Sensors
A. Mezlini, A. Shapiro, E. J. Daza, E. Caddigan, E. Ramirez, Tim Althoff, et al.
medRxiv 2021

Making Online Communities ‘Better’: A Taxonomy of Community Values on Reddit
Galen Cassebeer Weld, Amy X. Zhang, Tim Althoff
ArXiv 2021

Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets
Michael Merrill, Tim Althoff
ArXiv 2021

An Evaluation-Focused Framework for Visualization Recommendation Algorithms
Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, et al.
IEEE Transactions on Visualization and Computer Graphics 2021

Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations
Rachael Zehrung, A. Singhal, M. Correll, L. Battle
CHI 2021

Guided Hyperparameter Tuning Through Visualization and Inference
Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, L. Battle
ArXiv 2021

Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems
Zehua Zeng, Minhui Xie, Matthew Gouzoulis, L. Battle
ArXiv 2021

User-Driven Programming Support for Rapid Visualization Authoring in D3
Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, et al.
ArXiv 2021

Exploring Visualization Implementation Challenges Faced by D3 Users Online
L. Battle, Danni Feng, Kelli Webber
ArXiv 2021

WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, et al.
NeurIPS Datasets and Benchmarks 2021

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alexander J. Ratner, D. Klakow
ArXiv 2021

Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, et al.
ArXiv 2021

CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis
Ge Zhang, Michael Merrill, Yang Liu, Jeffrey Heer, Tim Althoff
EPJ Data Sci. 2020

Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data
A. Shapiro, N. Marinsek, I. Clay, B. Bradshaw, E. Ramirez, J. Min, et al.
Patterns 2020

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
J. Suh, E. Horvitz, Ryen W. White, Tim Althoff
WSDM 2020

Boba: Authoring and Visualizing Multiverse Analyses
Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
IEEE Transactions on Visualization and Computer Graphics 2020

The Effect of Moderation on Online Mental Health Conversations
David Wadden, Tal August, Qisheng Li, Tim Althoff
ICWSM 2020

Assessing the relationship between routine and schizophrenia symptoms with passively sensed measures of behavioral stability
Joy He-Yueya, B. Buck, Andrew T. Campbell, Tanzeem Choudhury, J. Kane, D. Ben-Zeev, et al.
npj Schizophrenia 2020

A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff
EMNLP 2020

Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions
J. Schroeder, J. Suh, Chelsey R. Wilks, M. Czerwinski, Sean A Munson, J. Fogarty, et al.
PervasiveHealth 2020

Boba: Supplemental Material
Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer
2020

Measuring COVID-19 and Influenza in the Real World via Person-Generated Health Data
N. Marinsek, A. Shapiro, I. Clay, B. Bradshaw, E. Ramirez, J. Min, et al.
medRxiv 2020

Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Galen Cassebeer Weld, Peter West, M. Glenski, D. Arbour, Ryan A. Rossi, Tim Althoff
ArXiv 2020

Decision points and selective reporting in end-to-end data analysis: an interview study
Yang Liu, Tim Althoff, Jeffrey Heer
2020

Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
Ashish Sharma, M. Choudhury, Tim Althoff, Amit Sharma
ICWSM 2020

How Food Environment Impacts Dietary Consumption and Body Weight: A Country-wide Observational Study of 2.3 Billion Food Logs
Tim Althoff, H. Nilforoshan, J. Hua, J. Leskovec
medRxiv 2020

A Structured Review of Data Management Technology for Interactive Visualization and Analysis
L. Battle, C. Scheidegger
IEEE Transactions on Visualization and Computer Graphics 2020

Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
Wenbo Tao, Xinli Hou, Adam Sah, L. Battle, R. Chang, M. Stonebraker
IEEE Transactions on Visualization and Computer Graphics 2020

If you want more women in your workforce, here’s how to recruit.
E. Pierson, Elissa M. Redmiles, L. Battle, J. Hullman
Nature 2020

The Role of Latency and Task Complexity in Predicting Visual Search Behavior
L. Battle, R. J. Crouser, Audace Nakeshimana, Ananda Montoly, R. Chang, M. Stonebraker
IEEE Transactions on Visualization and Computer Graphics 2020

Debugging Database Queries: A Survey of Tools, Techniques, and Users
Sneha Gathani, Peter Lim, L. Battle
CHI 2020

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data
L. Battle, P. Eichmann, M. Angelini, T. Catarci, G. Santucci, Yukun Zheng, et al.
SIGMOD Conference 2020

Extracting chemical reactions from text using Snorkel
Emily K. Mallory, Matthieu de Rochemonteix, Alexander J. Ratner, Ambika Acharya, Christoper M Re, R. Bright, et al.
BMC Bioinformatics 2020

AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature
J. Birgmeier, M. Haeussler, C. A. Deisseroth, E. Steinberg, K. Jagadeesh, Alexander J. Ratner, et al.
Science Translational Medicine 2020

Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis
Yang Liu, Tim Althoff, Jeffrey Heer
CHI 2019

Human in Focus: Future Research and Applications of Ubiquitous User Monitoring
N. Lau, Michael Hildebrandt, Tim Althoff, L. Boyle, Shamsi T. Iqbal, John D. Lee, et al.
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal
Mitchell L. Gordon, Tim Althoff, J. Leskovec
WWW 2019

Best practices for analyzing large-scale health data from wearables and smartphone apps
J. Hicks, Tim Althoff, R. Sosič, Peter Kuhar, B. Bostjancic, A. King, et al.
npj Digital Medicine 2019

The menstrual cycle is a primary contributor to cyclic variation in women’s mood, behavior, and vital signs
E. Pierson, Tim Althoff, Daniel Thomas, P. Hillard, J. Leskovec
bioRxiv 2019

Passively-sensed Behavioral Correlates of Discrimination Events in College Students
Yasaman S. Sefidgar, Woosuk Seo, K. Kuehn, Tim Althoff, Anne Browning, E. Riskin, et al.
Proc. ACM Hum. Comput. Interact. 2019

Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students
Xuhai Xu, P. Chikersal, A. Doryab, D. Villalba, J. Dutcher, M. Tumminia, et al.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2019

Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau
L. Battle, Jeffrey Heer
Comput. Graph. Forum 2019

Smile: A System to Support Machine Learning on EEG Data at Scale
Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, et al.
Proc. VLDB Endow. 2019

Smile
Lei Cao, Wenbo Tao, Sungtae An, Jianbing Jin, Yizhou Yan, Xiaoyu Liu, et al.
Proceedings of the VLDB Endowment 2019

A novel approach to task abstraction to make better sense of provenance data
C. Bors, S. Attfield, L. Battle, Michelle Dowling, A. Endert, Steffen Koch, et al.
2019

crossfilter-benchmark-submission
L. Battle, Yukun Zheng
2019

Kyrix: Interactive Pan/Zoom Visualizations at Scale
Wenbo Tao, Xiaoyu Liu, Yedi Wang, L. Battle, Ç. Demiralp, R. Chang, et al.
Comput. Graph. Forum 2019

International Workshop on Human-In-the-Loop Data Analytics (HILDA)
L. Battle, S. Chaudhuri, Arnab Nandi
SIGMOD Conference 2019

A Provenance Task Abstraction Framework
C. Bors, John E. Wenskovitch, Michelle Dowling, S. Attfield, L. Battle, A. Endert, et al.
IEEE Computer Graphics and Applications 2019

Towards a Customizable Framework for Evaluating Visualization Recommendations
Kelsey R. Fulton, Debjani Saha, Katherine Scola, L. Battle
2019

Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared A. Dunnmon, Alexander J. Ratner, Nishith Khandwala, Khaled Saab, M. Markert, H. Sagreiya, et al.
Patterns 2019

The 2nd Learning from Limited Labeled Data (LLD) Workshop: Representation Learning for Weak Supervision and Beyond
Isabelle Augenstein, Stephen H. Bach, Matthew B. Blaschko, Eugene Belilovsky, Edouard Oyallon, Emmanouil Antonios Platanios, et al.
ICLR 2019 2019

Doubly Weak Supervision of Deep Learning Models for Head CT
Khaled Saab, Jared A. Dunnmon, Roger E. Goldman, Alexander J. Ratner, H. Sagreiya, Christopher Ré, et al.
MICCAI 2019

Learning Dependency Structures for Weak Supervision Models
P. Varma, Frederic Sala, Ann He, Alexander J. Ratner, C. Ré
ICML 2019

Improving Sample Complexity with Observational Supervision
Khaled Saab, Jared A. Dunnmon, Alexander J. Ratner, D. Rubin, Christopher Ré
2019

Osprey
E. Bringer, Abraham Israeli, Yoav Shoham, Alexander J. Ratner, Christopher Ré
Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning - DEEM’19 2019

A machine-compiled database of genome-wide association studies
Volodymyr Kuleshov, Jialin Ding, Christopher Vo, Braden Hancock, Alexander J. Ratner, Yang Li, et al.
Nature Communications 2019

SysML: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen, Peter Bailis, Sarah Bird, et al.
ArXiv 2019

The Role of Massively Multi-Task and Weak Supervision in Software 2.0
Alexander J. Ratner, Braden Hancock, C. Ré
CIDR 2019

Snorkel: rapid training data creation with weak supervision
Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, C. Ré
The VLDB Journal 2019

Osprey: Weak Supervision of Imbalanced Extraction Problems without Code
E. Bringer, Abraham Israeli, Y. Shoham, Alexander J. Ratner, C. Ré
DEEM@SIGMOD 2019

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
V. Chen, Sen Wu, Zhenzhen Weng, Alexander J. Ratner, C. Ré
NeurIPS 2019

MLSys: The New Frontier of Machine Learning Systems
Alexander J. Ratner, Dan Alistarh, G. Alonso, D. Andersen, Peter Bailis, Sarah Bird, et al.
2019

AMELIE 2 speeds up Mendelian diagnosis by matching patient phenotype & genotype to primary literature
J. Birgmeier, M. Haeussler, C. A. Deisseroth, E. Steinberg, K. Jagadeesh, Alexander J. Ratner, et al.
bioRxiv 2019

I’ll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application
Zhiyuan Jerry Lin, Tim Althoff, J. Leskovec
WWW 2018

Modeling Interdependent and Periodic Real-World Action Sequences
Takeshi Kurashima, Tim Althoff, J. Leskovec
WWW 2018

Psychomotor function measured via online activity predicts motor vehicle fatality risk
Tim Althoff, E. Horvitz, Ryen W. White
npj Digital Medicine 2018

Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data
H. T. Hallgrímsson, Filip Jankovic, Tim Althoff, L. Foschini
ArXiv 2018

Evaluating Visual Data Analysis Systems: A Discussion Report
L. Battle, M. Angelini, Carsten Binnig, T. Catarci, P. Eichmann, Jean-Daniel Fekete, et al.
HILDA@SIGMOD 2018

2017 Reviewer Thank you.
G. Acton, S. Aguiñaga, Sami Al-Rawashdeh, D. Allen, S. Allen, Stephanie Alley, et al.
Western journal of nursing research 2018

A Kernel Theory of Modern Data Augmentation
Tri Dao, Albert Gu, Alexander J. Ratner, Virginia Smith, Christopher De Sa, C. Ré
ICML 2018

Training Complex Models with Multi-Task Weak Supervision
Alexander J. Ratner, Braden Hancock, Jared A. Dunnmon, Frederic Sala, Shreyash Pandey, C. Ré
AAAI 2018

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, et al.
SIGMOD Conference 2018

Knowledge Base Construction in the Machine-learning Era
Alexander J. Ratner, C. Ré
ACM Queue 2018

Snorkel MeTaL: Weak Supervision for Multi-Task Learning
Alexander J. Ratner, Braden Hancock, Jared A. Dunnmon, Roger E. Goldman, C. Ré
DEEM@SIGMOD 2018

Research for practice
Alexander J. Ratner, C. Ré, Peter Bailis
Commun. ACM 2018

Modeling Individual Cyclic Variation in Human Behavior
E. Pierson, Tim Althoff, J. Leskovec
WWW 2017

How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application
A. Shameli, Tim Althoff, A. Saberi, J. Leskovec
WWW 2017

Population-Scale Pervasive Health
Tim Althoff
IEEE Pervasive Computing 2017

Large-scale physical activity data reveal worldwide activity inequality
Tim Althoff, R. Sosič, J. Hicks, A. King, S. Delp, J. Leskovec
Nature 2017

Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance
Tim Althoff, E. Horvitz, Ryen W. White, J. Zeitzer
WWW 2017

Beagle: Automated Extraction and Interpretation of Visualizations from the Web
L. Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, R. Chang, M. Stonebraker
CHI 2017

Position statement: The case for a visualization performance benchmark
L. Battle, R. Chang, Jeffrey Heer, M. Stonebraker
2017 IEEE Workshop on Data Systems for Interactive Analysis (DSIA) 2017

Behavior-driven optimization techniques for scalable data exploration
L. Battle
2017

DeepDive
Ce Zhang, C. Ré, Michael J. Cafarella, Christopher De Sa, Alexander J. Ratner, Jaeho Shin, et al.
2017

Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, C. Ré
Proc. VLDB Endow. 2017

DeepDive: declarative knowledge base construction
Ce Zhang, Christopher Ré, Michael J. Cafarella, Christopher De Sa, Alexander J. Ratner, Jaeho Shin, et al.
2017

Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain, Jared A. Dunnmon, C. Ré
NIPS 2017

Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach, Bryan D. He, Alexander J. Ratner, C. Ré
ICML 2017

Snorkel: A System for Lightweight Extraction
Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, C. Ré
CIDR 2017

AMELIE accelerates Mendelian patient diagnosis directly from the primary literature
J. Birgmeier, M. Haeussler, C. A. Deisseroth, K. Jagadeesh, Alexander J. Ratner, H. Guturu, et al.
bioRxiv 2017

SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
Jason Alan Fries, Sen Wu, Alexander J. Ratner, Christopher Ré
ArXiv 2017

Snorkel: Fast Training Set Generation for Information Extraction
Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, C. Ré
SIGMOD Conference 2017

Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior
Tim Althoff, Pranav Jindal, J. Leskovec
WSDM 2016

Influence of Pokémon Go on Physical Activity: Study and Implications
Tim Althoff, Ryen W. White, E. Horvitz
Journal of medical Internet research 2016

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
Tim Althoff, Kevin Clark, J. Leskovec
TACL 2016

Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations
Tim Althoff, Kevin Clark, J. Leskovec
ArXiv 2016

Making Sense of Temporal Queries with Interactive Visualization
L. Battle, Danyel Fisher, R. DeLine, Mike Barnett, B. Chandramouli, J. Goldstein
CHI 2016

Dynamic Prefetching of Data Tiles for Interactive Visualization
L. Battle, R. Chang, M. Stonebraker
SIGMOD Conference 2016

Data programming with DDLite: putting humans in a different part of the loop
Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason Alan Fries, C. Ré
HILDA ‘16 2016

Data Programming: Creating Large Training Sets, Quickly
Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, C. Ré
NIPS 2016

a ) PaleoDeepDive Dataflow ( b ) Quality Assessment ( c ) Scientific Application : Biodiversity
Christopher De Sa, Alexander J. Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, et al.
2016

DeepDive: Declarative Knowledge Base Construction
Christopher De Sa, Alexander J. Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, et al.
SGMD 2016

TimeMachine: Timeline Generation for Knowledge-Base Entities
Tim Althoff, Xin Dong, K. Murphy, Safa Alai, Van Dang, Wei Zhang
KDD 2015

Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org
Tim Althoff, J. Leskovec
WWW 2015

Skew-Aware Join Optimization for Array Databases
Jennie Duggan, Olga Papaemmanouil, L. Battle, M. Stonebraker
SIGMOD Conference 2015

Incremental knowledge base construction using DeepDive
Christopher De Sa, Alexander J. Ratner, Christopher Ré, Jaeho Shin, Feiran Wang, Sen Wu, et al.
The VLDB Journal 2015

Authorship Attribution in Multi-author Documents
Tim Althoff, D. Britz, Zifei Shan
2014

How to Ask for a Favor: A Case Study on the Success of Altruistic Requests
Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky
ICWSM 2014

Indexing Cost Sensitive Prediction
L. Battle, E. Benson, Aditya G. Parameswaran, Eugene Wu
ArXiv 2014

Dynamic Generation and Prefetching of Data Chunks for Exploratory Visualization
L. Battle, R. Chang, M. Stonebraker
2014

The Case for Data Visualization Management Systems
Eugene Wu, L. Battle, S. Madden
Proc. VLDB Endow. 2014

Leveraging Document Structure for Better Classification of Complex Legal Documents
Alexander J. Ratner
2014

Random Acts of Pizza : Success Factors of Online Requests
Tim Althoff, Niloufar Salehi, Tuan Nguyen
2013

Analysis and forecasting of trending topics in online media streams
Tim Althoff, Damian Borth, Jörn Hees, A. Dengel
ACM Multimedia 2013

Exploiting and Introducing Parallelism for Efficient Object Detection
Hyun-Oh Song, S. Zickler, Tim Althoff, Ross B. Girshick, Christopher Geyer, Mario Fritz, et al.
2013

SciDB DBMS Research at M.I.T
M. Stonebraker, Jennie Duggan, L. Battle, Olga Papaemmanouil
IEEE Data Eng. Bull. 2013

Interactive visualization of big data leveraging databases for scalable computation
L. Battle
2013

SciDB DBMS Research at
M. Stonebraker, Jennie Duggan, L. Battle, Olga Papaemmanouil
2013

Dynamic reduction of query result sets for interactive visualizaton
L. Battle, M. Stonebraker, R. Chang
2013 IEEE International Conference on Big Data 2013

Sparselet Models for Efficient Multiclass Object Detection
Hyun Oh Song, S. Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, et al.
ECCV 2012

Don ‘ t Look Back : Post-hoc Category Detection via Sparse Reconstruction
Hyun Oh Song, Mario Fritz, Tim Althoff, Trevor Darrell
2012

Detection bank: an object detection based video representation for multimedia event recognition
Tim Althoff, Hyun Oh Song, Trevor Darrell
ACM Multimedia 2012

Balanced Clustering for Content-based Image Browsing
Tim Althoff, A. Ulges
Informatiktage 2011

Automatic example queries for ad hoc databases
Bill Howe, Garrett Cole, Nodira Khoussainova, L. Battle
SIGMOD ‘11 2011

Database-as-a-Service for Long-Tail Science
Bill Howe, Garrett Cole, Emad Souroush, Paraschos Koutris, A. Key, Nodira Khoussainova, et al.
SSDBM 2011

Building the Internet of Things Using RFID: The RFID Ecosystem Experience
Evan Welbourne, L. Battle, Garrett Cole, K. Gould, Kyle Rector, Samuel Raymer, et al.
IEEE Internet Computing 2009

Building the Internet of Things Using Rfid
Evan Welbourne, L. Battle, Garrett Cole, K. Gould, Kyle Rector, Samuel Raymer, et al.
2009

Machine Learning for Health ( ML 4 H )-What Parts of Healthcare are Ripe for Disruption by Machine Learning Right Now ?
Andrew Beam, M. Fiterau, Peter F. Schulam, J. Fries, Michael C. Hughes, Alexander B. Wiltschko, et al.\