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2020 – today
- 2022
[j8]Ge Zhang, Mike A. Merrill
, Yang Liu, Jeffrey Heer, Tim Althoff:
CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis. EPJ Data Sci. 11(1): 14 (2022)- [c28]Lena Mamykina, Daniel A. Epstein, Predrag Klasnja, Donna Sprujt-Metz, Jochen Meyer, Mary Czerwinski, Tim Althoff, Eun Kyoung Choe, Munmun De Choudhury, Brian Lim:
Grand Challenges for Personal Informatics and AI. CHI Extended Abstracts 2022: 76:1-76:6 - [c27]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM 2022: 1109-1120 - [c26]Galen Weld, Amy X. Zhang, Tim Althoff:
What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. ICWSM 2022: 1121-1132 - [c25]Ashish Sharma, Inna W. Lin, Adam S. Miner, Dave C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract). IJCAI 2022: 5339-5343 - [i33]Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support. CoRR abs/2203.15144 (2022) - [i32]Mike A. Merrill, Tim Althoff:
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CoRR abs/2205.13607 (2022) - [i31]Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. CoRR abs/2208.03306 (2022) - 2021
- [j7]Allison Shapiro, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini:
Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Patterns 2(1): 100188 (2021) - [j6]Nicasia Beebe-Wang, Alex Okeson, Tim Althoff, Su-In Lee:
Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study. IEEE J. Biomed. Health Informatics 25(7): 2409-2420 (2021) - [j5]Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer:
Boba: Authoring and Visualizing Multiverse Analyses. IEEE Trans. Vis. Comput. Graph. 27(2): 1753-1763 (2021) - [c24]David Wadden, Tal August, Qisheng Li, Tim Althoff:
The Effect of Moderation on Online Mental Health Conversations. ICWSM 2021: 751-763 - [c23]Galen Weld, Maria Glenski, Tim Althoff:
Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities. ICWSM 2021: 796-807 - [c22]Mike A. Merrill, Ge Zhang, Tim Althoff:
MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches. KDD 2021: 1212-1222 - [c21]Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff:
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. WSDM 2021: 4-12 - [c20]Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. WWW 2021: 194-205 - [c19]Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff:
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. WWW 2021: 2488-2500 - [i30]Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. CoRR abs/2101.07714 (2021) - [i29]Galen Weld, Maria Glenski, Tim Althoff:
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities. CoRR abs/2102.08537 (2021) - [i28]Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff:
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. CoRR abs/2102.12523 (2021) - [i27]Galen Weld, Ellyn Ayton, Tim Althoff, Maria Glenski:
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models. CoRR abs/2104.13490 (2021) - [i26]Mike A. Merrill, Tim Althoff:
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets. CoRR abs/2107.06097 (2021) - [i25]Galen Weld, Amy X. Zhang, Tim Althoff:
Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. CoRR abs/2109.05152 (2021) - [i24]Galen Weld, Amy X. Zhang, Tim Althoff:
What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits. CoRR abs/2111.05835 (2021) - 2020
- [c18]Yang Liu, Tim Althoff, Jeffrey Heer:
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. CHI 2020: 1-14 - [c17]Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff:
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. EMNLP (1) 2020: 5263-5276 - [c16]Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma:
Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. ICWSM 2020: 614-625 - [c15]Jessica Schroeder, Jina Suh, Chelsey Wilkes, Mary Czerwinski, Sean A. Munson, James Fogarty, Tim Althoff:
Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions. PervasiveHealth 2020: 274-287 - [i23]Ashish Sharma, Monojit Choudhury, Tim Althoff, Amit Sharma:
Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms. CoRR abs/2004.04999 (2020) - [i22]David Wadden, Tal August, Qisheng Li, Tim Althoff:
The Effect of Moderation on Online Mental Health Conversations. CoRR abs/2005.09225 (2020) - [i21]Yang Liu, Alex Kale, Tim Althoff, Jeffrey Heer:
Boba: Authoring and Visualizing Multiverse Analyses. CoRR abs/2007.05551 (2020) - [i20]Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff:
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. CoRR abs/2008.07045 (2020) - [i19]Ge Zhang, Mike A. Merrill, Yang Liu, Jeffrey Heer, Tim Althoff:
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis. CoRR abs/2008.12828 (2020) - [i18]Ashish Sharma, Adam S. Miner, David C. Atkins, Tim Althoff:
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support. CoRR abs/2009.08441 (2020) - [i17]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020)
2010 – 2019
- 2019
- [j4]Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia, Tim Althoff, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Jennifer Mankoff, Anind K. Dey:
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(3): 116:1-116:33 (2019) - [j3]Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Tim Althoff, Anne Browning, Eve A. Riskin, Paula S. Nurius, Anind K. Dey, Jennifer Mankoff:
Passively-sensed Behavioral Correlates of Discrimination Events in College Students. Proc. ACM Hum. Comput. Interact. 3(CSCW): 114:1-114:29 (2019) - [c14]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. WWW 2019: 571-582 - [i16]Mitchell L. Gordon, Tim Althoff, Jure Leskovec:
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal. CoRR abs/1904.02813 (2019) - [i15]Yang Liu, Tim Althoff, Jeffrey Heer:
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis. CoRR abs/1910.13602 (2019) - 2018
- [c13]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. WWW 2018: 107-116 - [c12]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. WWW 2018: 803-812 - [c11]Zhiyuan Lin, Tim Althoff, Jure Leskovec:
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. WWW 2018: 1501-1511 - [i14]Zhiyuan Lin, Tim Althoff, Jure Leskovec:
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application. CoRR abs/1802.08972 (2018) - [i13]Takeshi Kurashima, Tim Althoff, Jure Leskovec:
Modeling Interdependent and Periodic Real-World Action Sequences. CoRR abs/1802.09148 (2018) - [i12]Haraldur Tómas Hallgrímsson, Filip Jankovic, Tim Althoff, Luca Foschini:
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. CoRR abs/1812.01696 (2018) - 2017
- [j2]Tim Althoff:
Population-Scale Pervasive Health. IEEE Pervasive Comput. 16(4): 75-79 (2017) - [c10]Tim Althoff, Pranav Jindal, Jure Leskovec:
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. WSDM 2017: 537-546 - [c9]Tim Althoff, Eric Horvitz, Ryen W. White, Jamie Zeitzer:
Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. WWW 2017: 113-122 - [c8]Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec:
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. WWW (Companion Volume) 2017: 455-463 - [i11]Tim Althoff, Eric Horvitz, Ryen W. White, Jamie Zeitzer:
Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance. CoRR abs/1701.07083 (2017) - [i10]Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec:
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. CoRR abs/1702.07437 (2017) - [i9]Emma Pierson, Tim Althoff, Jure Leskovec:
Modeling Individual Cyclic Variation in Human Behavior. CoRR abs/1712.05748 (2017) - 2016
- [j1]Tim Althoff, Kevin Clark, Jure Leskovec:
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health. Trans. Assoc. Comput. Linguistics 4: 463-476 (2016) - [i8]Tim Althoff, Kevin Clark, Jure Leskovec:
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations. CoRR abs/1605.04462 (2016) - [i7]Tim Althoff, Ryen W. White, Eric Horvitz:
Influence of Pokémon Go on Physical Activity: Study and Implications. CoRR abs/1610.02085 (2016) - [i6]Tim Althoff, Pranav Jindal, Jure Leskovec:
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. CoRR abs/1612.03053 (2016) - 2015
- [c7]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD 2015: 19-28 - [c6]Tim Althoff, Jure Leskovec:
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. WWW 2015: 34-44 - [i5]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR abs/1502.04662 (2015) - [i4]Tim Althoff, Jure Leskovec:
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org. CoRR abs/1503.02729 (2015) - 2014
- [c5]Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky:
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. ICWSM 2014 - [i3]Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky:
How to Ask for a Favor: A Case Study on the Success of Altruistic Requests. CoRR abs/1405.3282 (2014) - [i2]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition. CoRR abs/1405.7102 (2014) - [i1]Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and Forecasting of Trending Topics in Online Media Streams. CoRR abs/1405.7452 (2014) - 2013
- [c4]Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel:
Analysis and forecasting of trending topics in online media streams. ACM Multimedia 2013: 907-916 - 2012
- [c3]Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell:
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) 2012: 802-815 - [c2]Tim Althoff, Hyun Oh Song, Trevor Darrell:
Detection bank: an object detection based video representation for multimedia event recognition. ACM Multimedia 2012: 1065-1068 - 2011
- [c1]Tim Althoff, Adrian Ulges, Andreas Dengel:
Balanced Clustering for Content-based Image Browsing. Informatiktage 2011: 27-30
Coauthor Index
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last updated on 2022-08-11 21:27 CEST by the dblp team
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