Search Results for author:
Found 9 papers, 2 papers with code
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation
Finally, we evaluate the zero-shot generalization capabilities of the segmentation models on human ultrasound spinal cord images to determine whether training on our porcine dataset is sufficient for accurately interpreting human data.
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
We discuss the need for integrating nuanced understanding from social science with the scalability of computational methods to better understand how polarization on social media occurs for divisive issues such as climate change and gun control.
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
This lack of instrumentation severely inhibits scientific advancement in provenance graph machine learning by hindering reproducibility and limiting the availability of data that are critical for techniques like graph neural networks.
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
In contrast to prior work, RAHMeN is a more expressive embedding framework that embraces the multi-faceted nature of nodes in such networks, producing a set of multi-embeddings that capture the varied and diverse contexts of nodes.
A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches
Computational methods to model political bias in social media involve several challenges due to heterogeneity, high-dimensional, multiple modalities, and the scale of the data.
DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
- and the lack of baseline models for fringe outlets such as Gab.
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models
We also analyze a multilayer network, constructed from two types of user interactions in Gab(quote and reply) and interaction scores from the weak supervision model as edge weights, to predict hateful users.
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
1) it will assist musicians to customize their performance with the necessary variety required to sustain the interest of the audience for the entirety of the concert 2) it will generate carefully curated lists of south Indian classical music so that the listener can discover the wide range of melody that the musical system can offer.
Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations
Online social media, periodically serves as a platform for cascading polarizing topics of conversation.
