Haar Features for FACS AU Recognition. - Jacob Whitehill; Christian W. Omlin (FGR, 2006)

Local versus Global Segmentation for Facial Expression Recognition. - Jacob Whitehill; Christian W. Omlin (FGR, 2006)

Automatic facial expression recognition for intelligent tutoring systems. - Jacob Whitehill; Marian Stewart Bartlett; Javier R. Movellan (CVPR Workshops, 2008)

Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation. - Louis-Philippe Morency; Jacob Whitehill; Javier R. Movellan (FG, 2008)

Personalized facial attractiveness prediction. - Jacob Whitehill; Javier R. Movellan (FG, 2008)

A discriminative approach to frame-by-frame head pose tracking. - Jacob Whitehill; Javier R. Movellan (FG, 2008)

Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition. - Jacob Whitehill; Marian Stewart Bartlett; Javier R. Movellan (Intelligent Tutoring Systems, 2008)

Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise. - Jacob Whitehill; Paul Ruvolo; Tingfan Wu; Jacob Bergsma; Javier R. Movellan (NIPS, 2009)

Toward Practical Smile Detection. - Jacob Whitehill; Gwen Littlewort; Ian R. Fasel; Marian Stewart Bartlett; Javier R. Movellan (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Monocular head pose estimation using generalized adaptive view-based appearance model. - Louis-Philippe Morency; Jacob Whitehill; Javier R. Movellan (Image Vis. Comput., 2010)

Towards an Optimal Affect-Sensitive Instructional System of cognitive skills. - Jacob Whitehill; Zewelanji Serpell; Aysha Foster; Yi-Ching Lin; B. Pearson; Marian Stewart Bartlett; Javier R. Movellan (CVPR Workshops, 2011)

The motion in emotion - A CERT based approach to the FERA emotion challenge. - Gwen Littlewort; Jacob Whitehill; Tingfan Wu; Nicholas J. Butko; Paul Ruvolo; Javier R. Movellan; Marian Stewart Bartlett (FG, 2011)

The computer expression recognition toolbox (CERT). - Gwen Littlewort; Jacob Whitehill; Tingfan Wu; Ian R. Fasel; Mark G. Frank; Javier R. Movellan; Marian Stewart Bartlett (FG, 2011)

Action unit recognition transfer across datasets. - Tingfan Wu; Nicholas J. Butko; Paul Ruvolo; Jacob Whitehill; Marian Stewart Bartlett; Javier R. Movellan (FG, 2011)

Discriminately decreasing discriminability with learned image filters. - Jacob Whitehill; Javier R. Movellan (CVPR, 2012)

Using recurrence plots to visualize the temporal dynamics of tutor/student interactions. - Samuel A. Brian; Linda P. Salamanca; Jacob Whitehill; Judy Reilly; Marian Stewart Bartlett; Daniel Angus; Janet Wiles (ICDL-EPIROB, 2012)

Modeling one-on-one tutoring sessions. - Karmen Dykstra; Jacob Whitehill; Linda P. Salamanca; Monique A. Lee; Amber R. Carini; Judy Reilly; Marni Stewart Bartlett (ICDL-EPIROB, 2012)

Characterizing the temporal dynamics of student-teacher discourse. - Linda P. Salamanca; Amber R. Carini; Monique A. Lee; Karmen Dykstra; Jacob Whitehill; Daniel Angus; Janet Wiles; Judy Reilly; Marian Stewart Bartlett (ICDL-EPIROB, 2012)

Multilayer Architectures for Facial Action Unit Recognition. - Tingfan Wu; Nicholas J. Butko; Paul Ruvolo; Jacob Whitehill; Marian Stewart Bartlett; Javier R. Movellan (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A stochastic optimal control perspective on affect- sensitive teaching. - Jacob Whitehill (2012)

Understanding ACT-R - an Outsider's Perspective. - Jacob Whitehill (CoRR, 2013)

The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions. - Jacob Whitehill; Zewelanji Serpell; Yi-Ching Lin; Aysha Foster; Javier R. Movellan (IEEE Trans. Affect. Comput., 2014)

Connecting Collaborative & Crowd Work with Online Education. - Joseph Jay Williams; Markus Krause; Praveen K. Paritosh; Jacob Whitehill; Justin Reich; Juho Kim 001; Piotr Mitros; Neil T. Heffernan; Brian C. Keegan (CSCW Companion, 2015)

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. - Jacob Whitehill; Joseph Jay Williams; Glenn Lopez; Cody A. Coleman; Justin Reich (EDM, 2015)

Exploiting an Oracle that Reports AUC/2AFC Scores in Machine Learning Contests. - Jacob Whitehill (CoRR, 2015)

Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs. - Yohsuke Roy Miyamoto; Cody A. Coleman; Joseph Jay Williams; Jacob Whitehill; Sergiy O. Nesterko; Justin Reich (J. Learn. Anal., 2015)

Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests. - Jacob Whitehill (AAAI, 2016)

A Crowdsourcing Approach to Collecting 399 Tutorial Videos on Logarithms. - Jacob Whitehill; Margo I. Seltzer (CoRR, 2016)

Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes. - Selen Türkay; Hadas Eidelman; Yigal Rosen; Daniel T. Seaton; Glenn Lopez; Jacob Whitehill (L@S, 2017)

MOOC Dropout Prediction: How to Measure Accuracy? - Jacob Whitehill; Kiran Mohan; Daniel T. Seaton; Yigal Rosen; Dustin Tingley (L@S, 2017)

A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale. - Jacob Whitehill; Margo I. Seltzer (L@S, 2017)

Delving Deeper into MOOC Student Dropout Prediction. - Jacob Whitehill; Kiran Mohan; Daniel T. Seaton; Yigal Rosen; Dustin Tingley (CoRR, 2017)

Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. - Jacob Whitehill (AAAI Workshops, 2018)

Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity. - Cecilia Aguerrebere; Cristobal Cobo; Jacob Whitehill (EDM, 2018)

Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis. - Arkar Min Aung; Anand Ramakrishnan; Jacob Whitehill (EDM, 2018)

Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition. - Arkar Min Aung; Jacob Whitehill (FG, 2018)

Predicting When Teachers Look at Their Students in 1-on-1 Tutoring Sessions. - Han Jiang 009; Karmen Dykstra; Jacob Whitehill (FG, 2018)

Permutation-Invariant Consensus over Crowdsourced Labels. - Michael Giancola; Randy C. Paffenroth; Jacob Whitehill (HCOMP, 2018)

Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. - Jacob Whitehill (CoRR, 2018)

Approximately Optimal Teaching of Approximately Optimal Learners. - Jacob Whitehill; Javier R. Movellan (IEEE Trans. Learn. Technol., 2018)

How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? - Jacob Whitehill (AAAI, 2019)

Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis. - Sola S. Shirai; Jacob Whitehill (CVPR Workshops, 2019)

How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? - Cecilia Aguerrebere; Monica Bulger; Cristóbal Cobo; Sofía García; Gabriela Kaplan; Jacob Whitehill (EDM, 2019)

Measuring students' thermal comfort and its impact on learning. - Han Jiang 009; Matthew Iandoli; Steven Van Dessel; Shichao Liu 006; Jacob Whitehill (EDM, 2019)

Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains. - Jacob Whitehill; Cecilia Aguerrebere; Benjamin Hylak (EDM, 2019)

Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. - Ajjen Joshi; Danielle Allessio; John J. Magee; Jacob Whitehill; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; Margrit Betke (FG, 2019)

Toward Automated Classroom Observation: Predicting Positive and Negative Climate. - Anand Ramakrishnan; Erin Ottmar; Jennifer LoCasale-Crouch; Jacob Whitehill (FG, 2019)

Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. - Jacob Whitehill; Anand Ramakrishnan (ICML, 2019)

Deep Learning with Domain Randomization for Optimal Filtering. - Matthew L. Weiss; Randy C. Paffenroth; Jacob Whitehill; Joshua R. Uzarski (ICMLA, 2019)

Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. - Minh Pham 005; Zeqian Li; Jacob Whitehill (ICASSP, 2020)

Noise-Robust Key-Phrase Detectors for Automated Classroom Feedback. - Brian Zylich; Jacob Whitehill (ICASSP, 2020)

How Does Label Noise Affect the Quality of Speaker Embeddings? - Minh Pham 005; Zeqian Li; Jacob Whitehill (INTERSPEECH, 2020)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Mona Jalal; Vitaly Ablavsky; Danielle Allessio; John J. Magee; Jacob Whitehill; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; Margrit Betke (CoRR, 2020)

Affective Teacher Tools: Affective Class Report Card and Dashboard. - Ankit Gupta 016; Neeraj Menon; William Lee 002; William Rebelsky; Danielle Allessio; Tom Murray 001; Beverly P. Woolf; Jacob Whitehill; Ivon Arroyo (AIED (1), 2021)

Measuring the Effect of ITS Feedback Messages on Students' Emotions. - Han Jiang 009; Zewelanji Serpell; Jacob Whitehill (MAIED@AIED, 2021)

Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction. - Pichayut Liamthong; Jacob Whitehill (EDM, 2021)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Thomas J. Murray 001; John J. Magee; Jacob Whitehill; Vitaly Ablavsky; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; et al. (FG, 2021)

Compositional Embedding Models for Speaker Identification and Diarization with Simultaneous Speech From 2+ Speakers. - Zeqian Li; Jacob Whitehill (ICASSP, 2021)

Learning to Work in a Materials Recovery Facility: Can Humans and Machines Learn from Each Other? - Harrison Kyriacou; Anand Ramakrishnan; Jacob Whitehill (LAK, 2021)

Compositional Embeddings for Multi-Label One-Shot Learning. - Zeqian Li; Michael Mozer; Jacob Whitehill (WACV, 2021)

Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. - Anand Ramakrishnan; Minh Pham 005; Jacob Whitehill (CoRR, 2021)

Compositional Affinity Propagation: When Clusters Have Compositional Structure. - Jacob Whitehill; Zeqian Li (CoRR, 2021)

Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking. - Rachel Dickler; Shiran Dudy; Areej Mawasi; Jacob Whitehill; Alayne Benson; Amy Corbitt (AIED (2), 2022)

How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning. - Jacob Whitehill; Amitai Erfanian (AIED (1), 2022)

Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception? - Han Jiang 009; Zeqian Li; Jacob Whitehill (CVPR Workshops, 2022)

In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos. - Zilin Dai; Andrew A. McReynolds; Jacob Whitehill (EDM, 2023)

Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback. - Jacob Whitehill; Jennifer LoCasale-Crouch (CoRR, 2023)

Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate. - Anand Ramakrishnan; Brian Zylich; Erin Ottmar; Jennifer LoCasale-Crouch; Jacob Whitehill (IEEE Trans. Affect. Comput., 2023)

Compositional clustering: Applications to multi-label object recognition and speaker identification. - Zeqian Li; Xinlu He; Jacob Whitehill (Pattern Recognit., 2023)

Tracking Classroom Movement Patterns with Person Re-ID. - Xinlu He; Jiani Wang; Viet Anh Trinh; Andrew A. McReynolds; Jacob Whitehill (EDM, 2024)

Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions? - Jiani Wang; Shiran Dudy; Xinlu He; Zhiyong Wang; Rosy Southwell; Jacob Whitehill (EDM, 2024)

Automatic Speech Recognition Tuned for Child Speech in the Classroom. - Rosy Southwell; Wayne H. Ward; Viet Anh Trinh; Charis Clevenger; Clay Clevenger; Emily Watts; Jason G. Reitman; Sidney D'Mello; Jacob Whitehill (ICASSP, 2024)

From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT). - Sidney K. D'Mello; Quentin Biddy; Thomas Breideband; Jeffrey Bush 001; Michael Alan Chang; Arturo Cortez; Jeffrey Flanigan; Peter W. Foltz; Jamie C. Gorman; Leanne M. Hirshfield; Monlin Monica Ko; Nikhil Krishnaswamy; et al. (AI Mag., 2024)

Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing. - Viet Anh Trinh; Rosy Southwell; Yiwen Guan; Xinlu He; Zhiyong Wang; Jacob Whitehill (CoRR, 2024)

Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? - Yiwen Guan; Viet Anh Trinh; Vivek Voleti; Jacob Whitehill (CoRR, 2024)

Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio. - Xinlu He; Jacob Whitehill (CoRR, 2025)

Improving Named Entity Transcription with Contextual LLM-based Revision. - Viet Anh Trinh; Xinlu He; Jacob Whitehill (CoRR, 2025)

MLLM-based Speech Recognition: When and How is Multimodality Beneficial? - Yiwen Guan; Viet Anh Trinh; Vivek Voleti; Jacob Whitehill (CoRR, 2025)