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Found 14 papers, 5 papers with code
Exploring the Relationship Between Feature Attribution Methods and Model Performance
Machine learning and deep learning models are pivotal in educational contexts, particularly in predicting student success.
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and generalize intricate patterns hidden in massive datasets.
Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification
Background: In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes.
Towards Global-Scale Crowd+AI Techniques to Map and Assess Sidewalks for People with Disabilities
There is a lack of data on the location, condition, and accessibility of sidewalks across the world, which not only impacts where and how people travel but also fundamentally limits interactive mapping tools and urban analytics.
Urban Rhapsody: Large-scale exploration of urban soundscapes
Noise is one of the primary quality-of-life issues in urban environments.
Sidewalk Measurements from Satellite Images: Preliminary Findings
Large-scale analysis of pedestrian infrastructures, particularly sidewalks, is critical to human-centric urban planning and design.
IntentVizor: Towards Generic Query Guided Interactive Video Summarization
There is a growing interest in the integration of user queries into video summarization or query-driven video summarization.
ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN
This type of methods includes a summarizer and a discriminator.
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Then, an attention mechanism is proposed based on the framework of graph attention network (GAT) to capture the spatial correlations and encode geographic contextual information to embedding space.
A Tracking System For Baseball Game Reconstruction
The baseball game is often seen as many contests that are performed between individuals.
FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System
Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify system functionality.
Quantifying the presence of graffiti in urban environments
Graffiti is a common phenomenon in urban scenarios.
A new approach for pedestrian density estimation using moving sensors and computer vision
However, such methods do not scale to the size of a city and a new approach to fill this gap is here proposed.
Identificação automática de pichação a partir de imagens urbanas
Graffiti tagging is a common issue in great cities an local authorities are on the move to combat it.
