Jacob Whitehill

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 51

Top Topics

Student Engagement

Tutoring System

Top Venues

Publications

Viet Anh Trinh, Rosy Southwell, Yiwen Guan, Xinlu He, Zhiyong Wang, Jacob Whitehill
Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing. CoRR (2024)
Rosy Southwell, Wayne H. Ward, Viet Anh Trinh, Charis Clevenger, Clay Clevenger, Emily Watts, Jason G. Reitman, Sidney D'Mello, Jacob Whitehill
Automatic Speech Recognition Tuned for Child Speech in the Classroom. ICASSP (2024)
Sidney K. D'Mello, Quentin Biddy, Thomas Breideband, Jeffrey B. Bush, Michael Alan Chang, Arturo Cortez, Jeffrey Flanigan, Peter W. Foltz, Jamie C. Gorman, Leanne M. Hirshfield, Monlin Monica Ko, Nikhil Krishnaswamy, Rachel Lieber, James H. Martin, Martha Palmer, William R. Penuel, Thomas M. Philip, Sadhana Puntambekar, James Pustejovsky, Jason G. Reitman, Tamara Sumner, Michael Tissenbaum, Lyn Walker, Jacob Whitehill
From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT). AI Mag. 45 (1) (2024)
Zeqian Li, Xinlu He, Jacob Whitehill
Compositional clustering: Applications to multi-label object recognition and speaker identification. Pattern Recognit. 144 (2023)
Zilin Dai, Andrew A. McReynolds, Jacob Whitehill
In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos. EDM (2023)
Anand Ramakrishnan, Brian Zylich, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate. IEEE Trans. Affect. Comput. 14 (1) (2023)
Jacob Whitehill, Jennifer LoCasale-Crouch
Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback. CoRR (2023)
Han Jiang, Zeqian Li, Jacob Whitehill
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception? CVPR Workshops (2022)
Jacob Whitehill, Amitai Erfanian
How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning. AIED (1) (2022)
Rachel Dickler, Shiran Dudy, Areej Mawasi, Jacob Whitehill, Alayne Benson, Amy Corbitt
Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking. AIED (2) (2022)
Pichayut Liamthong, Jacob Whitehill
Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction. EDM (2021)
Zeqian Li, Jacob Whitehill
Compositional Embedding Models for Speaker Identification and Diarization with Simultaneous Speech From 2+ Speakers. ICASSP (2021)
Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG (2021)
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. CoRR (2021)
Zeqian Li, Michael Mozer, Jacob Whitehill
Compositional Embeddings for Multi-Label One-Shot Learning. WACV (2021)
Jacob Whitehill, Zeqian Li
Compositional Affinity Propagation: When Clusters Have Compositional Structure. CoRR (2021)
Han Jiang, Zewelanji Serpell, Jacob Whitehill
Measuring the Effect of ITS Feedback Messages on Students' Emotions. MAIED@AIED (2021)
Harrison Kyriacou, Anand Ramakrishnan, Jacob Whitehill
Learning to Work in a Materials Recovery Facility: Can Humans and Machines Learn from Each Other? LAK (2021)
Ankit Gupta, Neeraj Menon, William Lee, William Rebelsky, Danielle Allessio, Tom Murray, Beverly Park Woolf, Jacob Whitehill, Ivon Arroyo
Affective Teacher Tools: Affective Class Report Card and Dashboard. AIED (1) (2021)
Minh Pham, Zeqian Li, Jacob Whitehill
How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH (2020)
Brian Zylich, Jacob Whitehill
Noise-Robust Key-Phrase Detectors for Automated Classroom Feedback. ICASSP (2020)
Anand Ramakrishnan, Brian Zylich, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate. CoRR (2020)
Zeqian Li, Jacob Whitehill
Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers. CoRR (2020)
Minh Pham, Zeqian Li, Jacob Whitehill
Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. ICASSP (2020)
Zeqian Li, Michael C. Mozer, Jacob Whitehill
Compositional Embeddings for Multi-Label One-Shot Learning. CoRR (2020)
Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR (2020)
Sola Shirai, Jacob Whitehill
Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis. CVPR Workshops (2019)
Cecilia Aguerrebere, Monica Bulger, Cristóbal Cobo, Sofía García, Gabriela Kaplan, Jacob Whitehill
How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? EDM (2019)
Han Jiang, Matthew Iandoli, Steven Van Dessel, Shichao Liu, Jacob Whitehill
Measuring students' thermal comfort and its impact on learning. EDM (2019)
Jacob Whitehill, Anand Ramakrishnan
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. ICML (2019)
Anand Ramakrishnan, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill
Toward Automated Classroom Observation: Predicting Positive and Negative Climate. FG (2019)
Ajjen Joshi, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly Park Woolf, Stan Sclaroff, Margrit Betke
Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. FG (2019)
Jacob Whitehill, Cecilia Aguerrebere, Benjamin Hylak
Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains. EDM (2019)
Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski
Deep Learning with Domain Randomization for Optimal Filtering. ICMLA (2019)
Jacob Whitehill
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI (2019)
Arkar Min Aung, Anand Ramakrishnan, Jacob Whitehill
Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis. EDM (2018)
Cecilia Aguerrebere, Cristobal Cobo, Jacob Whitehill
Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity. EDM (2018)
Michael Giancola, Randy C. Paffenroth, Jacob Whitehill
Permutation-Invariant Consensus over Crowdsourced Labels. HCOMP (2018)
Jacob Whitehill, Javier R. Movellan
Approximately Optimal Teaching of Approximately Optimal Learners. IEEE Trans. Learn. Technol. 11 (2) (2018)
Han Jiang, Karmen Dykstra, Jacob Whitehill
Predicting When Teachers Look at Their Students in 1-on-1 Tutoring Sessions. FG (2018)
Jacob Whitehill
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. CoRR (2018)
Arkar Min Aung, Jacob Whitehill
Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition. FG (2018)
Jacob Whitehill
Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. AAAI Workshops (2018)
Jacob Whitehill
How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings? CoRR (2017)
Jacob Whitehill
Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. CoRR (2017)
Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley
Delving Deeper into MOOC Student Dropout Prediction. CoRR (2017)
Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley
MOOC Dropout Prediction: How to Measure Accuracy? L@S (2017)
Jacob Whitehill, Margo I. Seltzer
A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale. L@S (2017)
Selen Türkay, Hadas Eidelman, Yigal Rosen, Daniel T. Seaton, Glenn Lopez, Jacob Whitehill
Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes. L@S (2017)
Jacob Whitehill, Margo I. Seltzer
A Crowdsourcing Approach to Collecting 399 Tutorial Videos on Logarithms. CoRR (2016)
Jacob Whitehill
Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests. AAAI (2016)
Jacob Whitehill, Joseph Jay Williams, Glenn Lopez, Cody A. Coleman, Justin Reich
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. EDM (2015)
Jacob Whitehill
Exploiting an Oracle that Reports AUC/2AFC Scores in Machine Learning Contests. CoRR (2015)
Joseph Jay Williams, Markus Krause, Praveen K. Paritosh, Jacob Whitehill, Justin Reich, Juho Kim, Piotr Mitros, Neil T. Heffernan, Brian C. Keegan
Connecting Collaborative & Crowd Work with Online Education. CSCW Companion (2015)
Yohsuke Roy Miyamoto, Cody A. Coleman, Joseph Jay Williams, Jacob Whitehill, Sergiy O. Nesterko, Justin Reich
Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs. J. Learn. Anal. 2 (2) (2015)
Jacob Whitehill, Zewelanji Serpell, Yi-Ching Lin, Aysha Foster, Javier R. Movellan
The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions. IEEE Trans. Affect. Comput. 5 (1) (2014)
Jacob Whitehill
Understanding ACT-R - an Outsider's Perspective. CoRR (2013)
Karmen Dykstra, Jacob Whitehill, Linda P. Salamanca, Monique A. Lee, Amber R. Carini, Judy Reilly, Marni Stewart Bartlett
Modeling one-on-one tutoring sessions. ICDL-EPIROB (2012)
Linda P. Salamanca, Amber R. Carini, Monique A. Lee, Karmen Dykstra, Jacob Whitehill, Daniel Angus, Janet Wiles, Judy Reilly, Marian Stewart Bartlett
Characterizing the temporal dynamics of student-teacher discourse. ICDL-EPIROB (2012)
Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan
Multilayer Architectures for Facial Action Unit Recognition. IEEE Trans. Syst. Man Cybern. Part B 42 (4) (2012)
Samuel A. Brian, Linda P. Salamanca, Jacob Whitehill, Judy Reilly, Marian Stewart Bartlett, Daniel Angus, Janet Wiles
Using recurrence plots to visualize the temporal dynamics of tutor/student interactions. ICDL-EPIROB (2012)
Jacob Whitehill, Javier R. Movellan
Discriminately decreasing discriminability with learned image filters. CVPR (2012)
Jacob Whitehill, Javier R. Movellan
Discriminately Decreasing Discriminability with Learned Image Filters CoRR (2011)
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Javier R. Movellan, Marian Stewart Bartlett
The motion in emotion - A CERT based approach to the FERA emotion challenge. FG (2011)
Gwen Littlewort, Jacob Whitehill, Tingfan Wu, Ian R. Fasel, Mark G. Frank, Javier R. Movellan, Marian Stewart Bartlett
The computer expression recognition toolbox (CERT). FG (2011)
Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan
Action unit recognition transfer across datasets. FG (2011)
Jacob Whitehill, Zewelanji Serpell, Aysha Foster, Yi-Ching Lin, B. Pearson, Marian Stewart Bartlett, Javier R. Movellan
Towards an Optimal Affect-Sensitive Instructional System of cognitive skills. CVPR Workshops (2011)
Louis-Philippe Morency, Jacob Whitehill, Javier R. Movellan
Monocular head pose estimation using generalized adaptive view-based appearance model. Image Vis. Comput. 28 (5) (2010)
Jacob Whitehill, Gwen Littlewort, Ian R. Fasel, Marian Stewart Bartlett, Javier R. Movellan
Toward Practical Smile Detection. IEEE Trans. Pattern Anal. Mach. Intell. 31 (11) (2009)
Jacob Whitehill, Paul Ruvolo, Tingfan Wu, Jacob Bergsma, Javier R. Movellan
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise. NIPS (2009)
Jacob Whitehill, Javier R. Movellan
A discriminative approach to frame-by-frame head pose tracking. FG (2008)
Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan
Automatic facial expression recognition for intelligent tutoring systems. CVPR Workshops (2008)
Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan
Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition. Intelligent Tutoring Systems (2008)
Louis-Philippe Morency, Jacob Whitehill, Javier R. Movellan
Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation. FG (2008)
Jacob Whitehill, Javier R. Movellan
Personalized facial attractiveness prediction. FG (2008)
Jacob Whitehill, Christian W. Omlin
Local versus Global Segmentation for Facial Expression Recognition. FGR (2006)
Jacob Whitehill, Christian W. Omlin
Haar Features for FACS AU Recognition. FGR (2006)