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ORCIDJacob Whitehill
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2020 – today
- 2024
[j9]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): 61-68 (2024)- [c54]Xinlu He, Jiani Wang, Viet Anh Trinh, Andrew A. McReynolds, Jacob Whitehill:
Tracking Classroom Movement Patterns with Person Re-ID. EDM 2024 - [c53]Jiani Wang, Shiran Dudy, Xinlu He, Zhiyong Wang, Rosy Southwell, Jacob Whitehill:
Speaker Diarization in the Classroom: How Much Does Each Student Speak in Group Discussions? EDM 2024 - [c52]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: 12291-12295 - [i16]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 abs/2406.06582 (2024) - [i15]Yiwen Guan, Viet Anh Trinh, Vivek Voleti, Jacob Whitehill:
Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? CoRR abs/2409.09221 (2024) - 2023
- [j8]Zeqian Li, Xinlu He, Jacob Whitehill:
Compositional clustering: Applications to multi-label object recognition and speaker identification. Pattern Recognit. 144: 109829 (2023) - [j7]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): 664-679 (2023) - [c51]Zilin Dai, Andrew A. McReynolds, Jacob Whitehill:
In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos. EDM 2023 - [i14]Jacob Whitehill, Jennifer LoCasale-Crouch:
Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback. CoRR abs/2310.01132 (2023) - 2022
- [c50]Jacob Whitehill, Amitai Erfanian:
How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning. AIED (1) 2022: 3-14 - [c49]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: 115-118 - [c48]Han Jiang, Zeqian Li, Jacob Whitehill:
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception? CVPR Workshops 2022: 4759-4765 - 2021
- [c47]Han Jiang, Zewelanji Serpell, Jacob Whitehill:
Measuring the Effect of ITS Feedback Messages on Students' Emotions. MAIED@AIED 2021: 8-17 - [c46]Ankit Gupta, Neeraj Menon, William Lee, William Rebelsky, Danielle Allessio, Tom Murray, Beverly P. Woolf, Jacob Whitehill, Ivon Arroyo:
Affective Teacher Tools: Affective Class Report Card and Dashboard. AIED (1) 2021: 178-189 - [c45]Pichayut Liamthong, Jacob Whitehill:
Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction. EDM 2021 - [c44]Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. FG 2021: 1-8 - [c43]Zeqian Li, Jacob Whitehill:
Compositional Embedding Models for Speaker Identification and Diarization with Simultaneous Speech From 2+ Speakers. ICASSP 2021: 7163-7167 - [c42]Harrison Kyriacou, Anand Ramakrishnan, Jacob Whitehill:
Learning to Work in a Materials Recovery Facility: Can Humans and Machines Learn from Each Other? LAK 2021: 456-461 - [c41]Zeqian Li, Michael Mozer, Jacob Whitehill:
Compositional Embeddings for Multi-Label One-Shot Learning. WACV 2021: 296-304 - [i13]Anand Ramakrishnan, Minh Pham, Jacob Whitehill:
Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. CoRR abs/2103.03862 (2021) - [i12]Jacob Whitehill, Zeqian Li:
Compositional Affinity Propagation: When Clusters Have Compositional Structure. CoRR abs/2109.04160 (2021) - 2020
- [c40]Minh Pham, Zeqian Li, Jacob Whitehill:
Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. ICASSP 2020: 7089-7093 - [c39]Brian Zylich, Jacob Whitehill:
Noise-Robust Key-Phrase Detectors for Automated Classroom Feedback. ICASSP 2020: 9215-9219 - [c38]Minh Pham, Zeqian Li, Jacob Whitehill:
How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH 2020: 3216-3220 - [e1]Anna N. Rafferty, Jacob Whitehill, Cristóbal Romero, Violetta Cavalli-Sforza:
Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020, Fully virtual conference, July 10-13, 2020. International Educational Data Mining Society 2020, ISBN 978-1-7336736-1-7 [contents] - [i11]Zeqian Li, Michael C. Mozer, Jacob Whitehill:
Compositional Embeddings for Multi-Label One-Shot Learning. CoRR abs/2002.04193 (2020) - [i10]Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. CoRR abs/2002.05242 (2020) - [i9]Zeqian Li, Jacob Whitehill:
Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers. CoRR abs/2010.11803 (2020)
2010 – 2019
- 2019
- [c37]Jacob Whitehill:
How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019: 5425-5432 - [c36]Sola S. Shirai, Jacob Whitehill:
Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis. CVPR Workshops 2019: 21-29 - [c35]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 - [c34]Han Jiang, Matthew Iandoli, Steven Van Dessel, Shichao Liu, Jacob Whitehill:
Measuring students' thermal comfort and its impact on learning. EDM 2019 - [c33]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 - [c32]Ajjen Joshi, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke:
Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems. FG 2019: 1-5 - [c31]Anand Ramakrishnan, Erin Ottmar, Jennifer LoCasale-Crouch, Jacob Whitehill:
Toward Automated Classroom Observation: Predicting Positive and Negative Climate. FG 2019: 1-8 - [c30]Jacob Whitehill, Anand Ramakrishnan:
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. ICML 2019: 6757-6765 - [c29]Matthew L. Weiss, Randy C. Paffenroth, Jacob Whitehill, Joshua R. Uzarski:
Deep Learning with Domain Randomization for Optimal Filtering. ICMLA 2019: 1779-1786 - 2018
- [j6]Jacob Whitehill, Javier R. Movellan:
Approximately Optimal Teaching of Approximately Optimal Learners. IEEE Trans. Learn. Technol. 11(2): 152-164 (2018) - [c28]Jacob Whitehill:
Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. AAAI Workshops 2018: 392-399 - [c27]Cecilia Aguerrebere, Cristobal Cobo, Jacob Whitehill:
Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity. EDM 2018 - [c26]Arkar Min Aung, Anand Ramakrishnan, Jacob Whitehill:
Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis. EDM 2018 - [c25]Arkar Min Aung, Jacob Whitehill:
Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition. FG 2018: 166-170 - [c24]Han Jiang, Karmen Dykstra, Jacob Whitehill:
Predicting When Teachers Look at Their Students in 1-on-1 Tutoring Sessions. FG 2018: 593-598 - [c23]Michael Giancola, Randy C. Paffenroth, Jacob Whitehill:
Permutation-Invariant Consensus over Crowdsourced Labels. HCOMP 2018: 21-30 - [i8]Jacob Whitehill:
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth. CoRR abs/1812.08255 (2018) - 2017
- [c22]Jacob Whitehill, Margo I. Seltzer:
A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale. L@S 2017: 157-160 - [c21]Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley:
MOOC Dropout Prediction: How to Measure Accuracy? L@S 2017: 161-164 - [c20]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: 209-212 - [i7]Jacob Whitehill, Kiran Mohan, Daniel T. Seaton, Yigal Rosen, Dustin Tingley:
Delving Deeper into MOOC Student Dropout Prediction. CoRR abs/1702.06404 (2017) - [i6]Jacob Whitehill:
Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle. CoRR abs/1707.01825 (2017) - [i5]Jacob Whitehill:
How Does Knowledge of the AUC Constrain the Set of Possible Ground-truth Labelings? CoRR abs/1709.02418 (2017) - 2016
- [c19]Jacob Whitehill:
Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests. AAAI 2016: 1345-1351 - [i4]Jacob Whitehill, Margo I. Seltzer:
A Crowdsourcing Approach to Collecting 399 Tutorial Videos on Logarithms. CoRR abs/1606.09610 (2016) - 2015
- [j5]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): 47-69 (2015) - [c18]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: 313-318 - [c17]Jacob Whitehill, Joseph Jay Williams, Glenn Lopez, Cody A. Coleman, Justin Reich:
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. EDM 2015: 171-178 - [i3]Jacob Whitehill:
Exploiting an Oracle that Reports AUC/2AFC Scores in Machine Learning Contests. CoRR abs/1506.01339 (2015) - 2014
- [j4]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): 86-98 (2014) - 2013
- [i2]Jacob Whitehill:
Understanding ACT-R - an Outsider's Perspective. CoRR abs/1306.0125 (2013) - 2012
- [b1]Jacob Whitehill:
A stochastic optimal control perspective on affect- sensitive teaching. University of California, San Diego, USA, 2012 - [j3]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): 1027-1038 (2012) - [c16]Jacob Whitehill, Javier R. Movellan:
Discriminately decreasing discriminability with learned image filters. CVPR 2012: 2488-2495 - [c15]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: 1-2 - [c14]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: 1-2 - [c13]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: 1-2 - 2011
- [c12]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: 20-25 - [c11]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: 298-305 - [c10]Tingfan Wu, Nicholas J. Butko, Paul Ruvolo, Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan:
Action unit recognition transfer across datasets. FG 2011: 889-896 - [c9]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: 897-902 - [i1]Jacob Whitehill, Javier R. Movellan:
Discriminately Decreasing Discriminability with Learned Image Filters. CoRR abs/1110.0585 (2011) - 2010
- [j2]Louis-Philippe Morency, Jacob Whitehill, Javier R. Movellan:
Monocular head pose estimation using generalized adaptive view-based appearance model. Image Vis. Comput. 28(5): 754-761 (2010)
2000 – 2009
- 2009
- [j1]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): 2106-2111 (2009) - [c8]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: 2035-2043 - 2008
- [c7]Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan:
Automatic facial expression recognition for intelligent tutoring systems. CVPR Workshops 2008: 1-6 - [c6]Louis-Philippe Morency, Jacob Whitehill, Javier R. Movellan:
Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation. FG 2008: 1-8 - [c5]Jacob Whitehill, Javier R. Movellan:
Personalized facial attractiveness prediction. FG 2008: 1-7 - [c4]Jacob Whitehill, Javier R. Movellan:
A discriminative approach to frame-by-frame head pose tracking. FG 2008: 1-7 - [c3]Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan:
Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition. Intelligent Tutoring Systems 2008: 668-670 - 2006
- [c2]Jacob Whitehill, Christian W. Omlin:
Haar Features for FACS AU Recognition. FGR 2006: 97-101 - [c1]Jacob Whitehill, Christian W. Omlin:
Local versus Global Segmentation for Facial Expression Recognition. FGR 2006: 357-362
Coauthor Index
Marian Stewart Bartlett
aka: Marni Stewart Bartlett
aka: Marni Stewart Bartlett
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last updated on 2024-10-31 21:09 CET by the dblp team
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