research
∙
09/09/2021
Compositional Affinity Propagation: When Clusters Have Compositional Structure
We consider a new kind of clustering problem in which clusters need not ...
share
research
∙
03/05/2021
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
For the task of face verification, we explore the utility of harnessing ...
research
∙
10/22/2020
Compositional embedding models for speaker identification and diarization with simultaneous speech from 2+ speakers
We propose a new method for speaker diarization that can handle overlapp...
research
∙
05/19/2020
Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate
In this work we present a multi-modal machine learning-based system, whi...
research
∙
02/12/2020
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
In the context of building an intelligent tutoring system (ITS), which i...
research
∙
02/11/2020
Compositional Embeddings for Multi-Label One-Shot Learning
We explore the idea of compositional set embeddings that can be used to ...
research
∙
12/19/2018
Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth
Automatic detectors of facial expression, gesture, affect, etc., can ser...
research
∙
02/21/2017
Delving Deeper into MOOC Student Dropout Prediction
In order to obtain reliable accuracy estimates for automatic MOOC dropou...
research
∙
10/04/2011
