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2020 – today
- 2024
[j14]Nussara Tieanklin
, Joseph Breda, Tim Althoff, Kurtis Heimerl:
"I will just have to keep driving": A Mixed-methods Investigation of Lack of Agency within the Thai Motorcycle Rideshare Driver Community. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-28 (2024)- [j13]Xuhai Orson Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak N. Patel, Tim Althoff, Andrew T. Campbell, Anind K. Dey, Jennifer Mankoff:
GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. GetMobile Mob. Comput. Commun. 28(2): 23-30 (2024) - [c41]Inna W. Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff:
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. ACL (1) 2024: 810-840 - [c40]Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Chaitanyashareef Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich:
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. CHI 2024: 643:1-643:21 - [c39]Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, Theresa Nguyen, Tim Althoff:
Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring. CHI 2024: 700:1-700:29 - [c38]Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker:
How Do Analysts Understand and Verify AI-Assisted Data Analyses? CHI 2024: 748:1-748:22 - [c37]Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff:
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. CHI 2024: 1015:1-1015:22 - [c36]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
Position: A Roadmap to Pluralistic Alignment. ICML 2024 - [c35]Galen Weld, Amy X. Zhang, Tim Althoff:
Making Online Communities 'Better': A Taxonomy of Community Values on Reddit. ICWSM 2024: 1611-1633 - [i55]Yu Ying Chiu, Ashish Sharma, Inna Wanyin Lin, Tim Althoff:
A Computational Framework for Behavioral Assessment of LLM Therapists. CoRR abs/2401.00820 (2024) - [i54]Galen Weld, Leon Leibmann, Amy X. Zhang, Tim Althoff:
Perceptions of Moderators as a Large-Scale Measure of Online Community Governance. CoRR abs/2401.16610 (2024) - [i53]Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi:
A Roadmap to Pluralistic Alignment. CoRR abs/2402.05070 (2024) - [i52]Inna Wanyin Lin, Ashish Sharma, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff:
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction. CoRR abs/2402.12556 (2024) - [i51]Chu Li, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Minchu Kulkarni, Xiaoyu Huang, Shwetak N. Patel, Vikram Iyer, Tim Althoff, Jon E. Froehlich:
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. CoRR abs/2403.09810 (2024) - [i50]Xinyi Zhou, Ashish Sharma, Amy X. Zhang, Tim Althoff:
Correcting misinformation on social media with a large language model. CoRR abs/2403.11169 (2024) - [i49]Mike A. Merrill, Mingtian Tan, Vinayak Gupta, Tom Hartvigsen, Tim Althoff:
Language Models Still Struggle to Zero-shot Reason about Time Series. CoRR abs/2404.11757 (2024) - [i48]Tim Althoff, Boris Ivanovic, Jennifer L. Hicks, Scott L. Delp, Abby C. King, Jure Leskovec:
Countrywide natural experiment reveals impact of built environment on physical activity. CoRR abs/2406.04557 (2024) - [i47]Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu:
Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR abs/2406.06464 (2024) - [i46]Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - [i45]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR abs/2406.12830 (2024) - [i44]Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen:
Are Language Models Actually Useful for Time Series Forecasting? CoRR abs/2406.16964 (2024) - [i43]Ken Gu, Ruoxi Shang, Ruien Jiang, Keying Kuang, Richard-John Lin, Donghe Lyu, Yue Mao, Youran Pan, Teng Wu, Jiaqian Yu, Yikun Zhang, Tianmai M. Zhang, Lanyi Zhu, Mike A. Merrill, Jeffrey Heer, Tim Althoff:
BLADE: Benchmarking Language Model Agents for Data-Driven Science. CoRR abs/2408.09667 (2024) - 2023
- [j12]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. Nat. Mac. Intell. 5(1): 46-57 (2023) - [c34]Ashish Sharma, Kevin Rushton, Inna E. Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff:
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. ACL (1) 2023: 9977-10000 - [c33]Ken Gu, Eunice Jun, Tim Althoff:
Understanding and Supporting Debugging Workflows in Multiverse Analysis. CHI 2023: 149:1-149:19 - [c32]Mike A. Merrill, Tim Althoff:
Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets. CHIL 2023: 191-206 - [c31]Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff:
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL 2023: 207-228 - [i42]Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Scaling Expert Language Models with Unsupervised Domain Discovery. CoRR abs/2303.14177 (2023) - [i41]Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, David Wadden, Khendra G. Lucas, Adam S. Miner, Theresa Nguyen, Tim Althoff:
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction. CoRR abs/2305.02466 (2023) - [i40]Yang Liu, Tim Althoff, Jeffrey Heer:
Approximation and Progressive Display of Multiverse Analyses. CoRR abs/2305.08323 (2023) - [i39]Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt, Jeffrey Heer, Tim Althoff:
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study. CoRR abs/2309.10108 (2023) - [i38]Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker:
How Do Analysts Understand and Verify AI-Assisted Data Analyses? CoRR abs/2309.10947 (2023) - [i37]Ashish Sharma, Kevin Rushton, Inna Wanyin Lin, Theresa Nguyen, Tim Althoff:
Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring. CoRR abs/2310.15461 (2023) - 2022
- [j11]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) - [j10]Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman S. Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak N. Patel, Tim Althoff, Andrew Campbell, Anind K. Dey, Jennifer Mankoff:
GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 190:1-190:34 (2022) - [c30]Lena Mamykina, Daniel A. Epstein, Predrag V. Klasnja, Donna Sprujt-Metz, Jochen Meyer, Mary Czerwinski, Tim Althoff, Eun Kyoung Choe, Munmun De Choudhury, Brian Y. Lim:
Grand Challenges for Personal Informatics and AI. CHI Extended Abstracts 2022: 76:1-76:6 - [c29]Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. EMNLP 2022: 2152-2170 - [c28]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 - [c27]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 - [c26]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 - [c25]Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey:
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. NeurIPS 2022 - [i36]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) - [i35]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) - [i34]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) - [i33]Ken Gu, Eunice Jun, Tim Althoff:
Understanding and Supporting Debugging Workflows in Multiverse Analysis. CoRR abs/2210.03804 (2022) - [i32]Inna Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov:
Gendered Mental Health Stigma in Masked Language Models. CoRR abs/2210.15144 (2022) - [i31]Xuhai Xu, Han Zhang, Yasaman S. Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin S. Kuehn, Mike A. Merrill, Paula S. Nurius, Shwetak N. Patel, Tim Althoff, Margaret E. Morris, Eve A. Riskin, Jennifer Mankoff, Anind K. Dey:
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. CoRR abs/2211.02733 (2022) - 2021
- [j9]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) - [j8]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) - [j7]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
- [j6]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) - [j5]Jennifer L. Hicks, Tim Althoff, Rok Sosic, Peter Kuhar, Bojan Bostjancic, Abby C. King, Jure Leskovec, Scott L. Delp:
Best practices for analyzing large-scale health data from wearables and smartphone apps. npj Digit. Medicine 2 (2019) - [j4]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
- [b1]Tim Althoff:
Data science for human well-being. Stanford University, USA, 2018 - [j3]Tim Althoff, Eric Horvitz, Ryen W. White:
Psychomotor function measured via online activity predicts motor vehicle fatality risk. npj Digit. Medicine 1 (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 M. 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 M. 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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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-07 21:21 CEST by the dblp team
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