Tim Althoff
Orcid: 0000-0003-4793-2289
According to our database1,
Tim Althoff
authored at least 67 papers
between 2011 and 2024.
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Bibliography
2024
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems.
CoRR, 2024
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction.
CoRR, 2024
CoRR, 2024
2023
Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support.
Nat. Mac. Intell., January, 2023
Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring.
CoRR, 2023
CoRR, 2023
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Self-Supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis.
EPJ Data Sci., 2022
CoRR, 2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
Efficient and Explainable Risk Assessments for Imminent Dementia in an Aging Cohort Study.
IEEE J. Biomed. Health Informatics, 2021
Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data.
Patterns, 2021
CoRR, 2021
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets.
CoRR, 2021
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models.
CoRR, 2021
Political Bias and Factualness in News Sharing Across more then 100, 000 Online Communities.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications.
Proceedings of the WSDM '21, 2021
MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Political Bias and Factualness in News Sharing across more than 100, 000 Online Communities.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021
2020
Data-Driven Implications for Translating Evidence-Based Psychotherapies into Technology-Delivered Interventions.
Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Paths Explored, Paths Omitted, Paths Obscured: Decision Points & Selective Reporting in End-to-End Data Analysis.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
Proc. ACM Hum. Comput. Interact., 2019
Best practices for analyzing large-scale health data from wearables and smartphone apps.
npj Digit. Medicine, 2019
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal.
Proceedings of the World Wide Web Conference, 2019
2018
Psychomotor function measured via online activity predicts motor vehicle fatality risk.
npj Digit. Medicine, 2018
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data.
CoRR, 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
2017
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance.
Proceedings of the 26th International Conference on World Wide Web, 2017
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
2016
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health.
Trans. Assoc. Comput. Linguistics, 2016
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations.
CoRR, 2016
2015
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org.
Proceedings of the 24th International Conference on World Wide Web, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014
2013
Proceedings of the ACM Multimedia Conference, 2013
2012
Detection bank: an object detection based video representation for multimedia event recognition.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Balanced Clustering for Content-based Image Browsing.
Proceedings of the Informatiktage 2011, 2011