With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...
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In everyday life, we encounter situations that seem to demand an explanation of why something happened, how it happened, or how it could have been prevented. People have a scientist-like desire in ...
The application of machine learning in decision-making has become widespread. However, investigating the impact of interventions in decision-making tasks poses significant challenges, particularly in ...
Tremendous progress has been achieved in predictive analytics for medical imaging. With the advent of powerful machine-learning (ML) approaches such as deep learning, staggering improvements in ...
The discourse surrounding artificial intelligence (AI) has become increasingly complex as this rapidly advancing technology continues to transform industries, influence societal norms and raise ...
Most of us have heard the phrase "correlation does not equal causation." But understanding how scientists move beyond identifying correlations to establish causation remains a mystery to many. Finding ...
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