Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Learn what Microsoft Copilot is, how it works, pricing, features, and whether it’s worth it in 2026 across Windows, Edge, and ...

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

Abstract: The automated feature extraction capability of deep learning models is crucial for improving performance. However, existing feature extraction methods often face challenges such as high ...

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Artificial intelligence (AI) is no longer a mere technological tool. It has already evolved into a new ideology—a system of values and beliefs that is shaping how society understands progress, ...

Abstract: Image fusion (IF) integrates complementary information from multiple modalities into a single enhanced image for improved analysis. Pre-processing and feature extraction techniques act as ...

Great work on this library by the way! I am writing to inquire about how I could best apply shapelet transformation to my use case. If I simply wanted to get the transformed shaplets features on a ...