These seven priorities provide a road map for building resilient, adaptive, and human-centered organizations in the age of AI ...

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.

This paper introduces the Bilateral Trade in Services (BiTS) research dataset. BiTS draws primarily on the non-estimated trade values from the OECD-WTO Balanced Trade in Services (BaTIS) database, ...

This is the second experiment of Image Segmentation for EBHI-Colorectal-Cancer Multiclass based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass) and, ...

Is balanced clustering supported by the C++ API? If yes, should the sizes of the resulting clusters be (almost) equal? I'm running the following code on a dataset with four imbalanced clusters (sizes: ...

Orphan genes are associated with regulatory patterns, but experimental methods for identifying orphan genes are both time-consuming and expensive. Designing an accurate and robust classification model ...

Abstract: Developing deep learning models often involves working with balanced datasets. However, in real-world scenarios, class equilibrium is rarely observed. To address this, oversampling and ...

My colleagues and I at Purdue University have uncovered a significant imbalance in the human values embedded in AI systems. The systems were predominantly oriented toward information and utility ...