Jacob Whitehill

Orcid: 0000-0002-5851-312X

According to our database1, Jacob Whitehill authored at least 70 papers between 2006 and 2024.

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Bibliography

2024
From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT).
AI Mag., 2024

2023
Compositional clustering: Applications to multi-label object recognition and speaker identification.
Pattern Recognit., December, 2023

Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate.
IEEE Trans. Affect. Comput., 2023

Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback.
CoRR, 2023

In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022
Can the Mathematical Correctness of Object Configurations Affect the Accuracy of Their Perception?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Compositional Affinity Propagation: When Clusters Have Compositional Structure.
CoRR, 2021

Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning.
CoRR, 2021

Compositional Embeddings for Multi-Label One-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning to Work in a Materials Recovery Facility: Can Humans and Machines Learn from Each Other?
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Compositional Embedding Models for Speaker Identification and Diarization with Simultaneous Speech From 2+ Speakers.
Proceedings of the IEEE International Conference on Acoustics, 2021

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Text Representations of Math Tutorial Videos forClustering, Retrieval, and Learning Gain Prediction.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Measuring the Effect of ITS Feedback Messages on Students' Emotions.
Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education (MAIED 2021) At the 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

Affective Teacher Tools: Affective Class Report Card and Dashboard.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
CoRR, 2020

How Does Label Noise Affect the Quality of Speaker Embeddings?
Proceedings of the Interspeech 2020, 2020

Noise-Robust Key-Phrase Detectors for Automated Classroom Feedback.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Deep Learning with Domain Randomization for Optimal Filtering.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth.
Proceedings of the 36th International Conference on Machine Learning, 2019

Toward Automated Classroom Observation: Predicting Positive and Negative Climate.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Affect-driven Learning Outcomes Prediction in Intelligent Tutoring Systems.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Measuring students' thermal comfort and its impact on learning.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students?
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Privacy-Preserving Annotation of Face Images Through Attribute-Preserving Face Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Approximately Optimal Teaching of Approximately Optimal Learners.
IEEE Trans. Learn. Technol., 2018

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

Permutation-Invariant Consensus over Crowdsourced Labels.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Predicting When Teachers Look at Their Students in 1-on-1 Tutoring Sessions.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Who are they looking at? Automatic Eye Gaze Following for Classroom Observation Video Analysis.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Estimating the Treatment Effect of New Device Deployment on Uruguayan Students' Online Learning Activity.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Delving Deeper into MOOC Student Dropout Prediction.
CoRR, 2017

A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

MOOC Dropout Prediction: How to Measure Accuracy?
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Getting to Know English Language Learners in MOOCs: Their Motivations, Behaviors, and Outcomes.
Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

2016
A Crowdsourcing Approach to Collecting 399 Tutorial Videos on Logarithms.
CoRR, 2016

Exploiting an Oracle That Reports AUC Scores in Machine Learning Contests.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Beyond Time-on-Task: The Relationship Between Spaced Study and Certification in MOOCs.
J. Learn. Anal., December, 2015

Exploiting an Oracle that Reports AUC/2AFC Scores in Machine Learning Contests.
CoRR, 2015

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Connecting Collaborative & Crowd Work with Online Education.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014
The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions.
IEEE Trans. Affect. Comput., 2014

2013
Understanding ACT-R - an Outsider's Perspective.
CoRR, 2013

2012
A stochastic optimal control perspective on affect- sensitive teaching.
PhD thesis, 2012

Multilayer Architectures for Facial Action Unit Recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Characterizing the temporal dynamics of student-teacher discourse.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Modeling one-on-one tutoring sessions.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Using recurrence plots to visualize the temporal dynamics of tutor/student interactions.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Discriminately decreasing discriminability with learned image filters.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Action unit recognition transfer across datasets.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

The computer expression recognition toolbox (CERT).
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

The motion in emotion - A CERT based approach to the FERA emotion challenge.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Towards an Optimal Affect-Sensitive Instructional System of cognitive skills.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Monocular head pose estimation using generalized adaptive view-based appearance model.
Image Vis. Comput., 2010

2009
Toward Practical Smile Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Measuring the Perceived Difficulty of a Lecture Using Automatic Facial Expression Recognition.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

A discriminative approach to frame-by-frame head pose tracking.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Personalized facial attractiveness prediction.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Automatic facial expression recognition for intelligent tutoring systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2006
Local versus Global Segmentation for Facial Expression Recognition.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Haar Features for FACS AU Recognition.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006


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