29 citations · 35 across the 8 of their papers we have counts for
8 papers
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks
Gokul S Krishnan, Sarala Padi, Craig S. Greenberg +3
Emotion Recognition in Conversations (ERC) is a critical aspect of affective computing, and it has many practical applications in healthcare, education, chatbots, and social media…
Extending Explainable Boosting Machines to Scientific Image Data
Daniel Schug, Sai Yerramreddy, Rich Caruana +2
As the deployment of computer vision technology becomes increasingly common in science, the need for explanations of the system and its output has become a focus of great concern.…
The 2022 NIST Language Recognition Evaluation
Yooyoung Lee, Craig Greenberg, Eliot Godard +5
In 2022, the U.S. National Institute of Standards and Technology (NIST) conducted the latest Language Recognition Evaluation (LRE) in an ongoing series administered by NIST since 1…
The 2021 NIST Speaker Recognition Evaluation
Seyed Omid Sadjadi, Craig Greenberg, Elliot Singer +2
The 2021 Speaker Recognition Evaluation (SRE21) was the latest cycle of the ongoing evaluation series conducted by the U.S. National Institute of Standards and Technology (NIST) si…
The NIST CTS Speaker Recognition Challenge
Seyed Omid Sadjadi, Craig Greenberg, Elliot Singer +2
The US National Institute of Standards and Technology (NIST) has been conducting a second iteration of the CTS challenge since August 2020. The current iteration of the CTS Challen…
Exact and Approximate Hierarchical Clustering Using A*
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +6
Hierarchical clustering is a critical task in numerous domains. Many approaches are based on heuristics and the properties of the resulting clusterings are studied post hoc. Howeve…
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates
Shangjie Guo, Amilson R. Fritsch, Craig Greenberg +2
Most data in cold-atom experiments comes from images, the analysis of which is limited by our preconceptions of the patterns that could be present in the data. We focus on the well…
Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath +5
Hierarchical clustering is a fundamental task often used to discover meaningful structures in data, such as phylogenetic trees, taxonomies of concepts, subtypes of cancer, and casc…