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Found 8 papers, 0 papers with code
Domain-agnostic and Multi-level Evaluation of Generative Models
To this end, we propose a framework for Multi-level Performance Evaluation of Generative mOdels (MPEGO), which could be employed across different domains.
BON: An extended public domain dataset for human activity recognition
Body-worn first-person vision (FPV) camera enables to extract a rich source of information on the environment from the subject's viewpoint.
Pattern Detection in the Activation Space for Identifying Synthesized Content
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise.
DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
We propose an end-to-end deep learning approach, DeepMI, to classify MI from normal cases as well as identifying the time-occurrence of MI (defined as acute, recent and old), using a collection of fusion strategies on 12 ECG leads at data-, feature-, and decision-level.
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approaches.
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
Bias in data can have unintended consequences that propagate to the design, development, and deployment of machine learning models.
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Our evaluation confirmed that the approach was able to produce synthetic datasets that preserved a high level of subgroup differentiation as identified initially in the original dataset.
Subset Scanning Over Neural Network Activations
This is the first work to introduce "Subset Scanning" methods from the anomalous pattern detection domain to the task of detecting anomalous input of neural networks.
