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14 件この論文では、data mining におけるビジュアルプログラミングフレームワーク、Orange Lab を提唱しました。これにより、Webベースのデータ分析環境を提供し、ユーザーフェイシングの分析ツールとしてデータ分
マテリアルの非破壊検査を目的としたContext-Aware Deep Learningが提案され、エアロックの欠陥を検出する。
Mathematical reasoning has long served as a stringent test of machine intelligence; over the past decade, it h
Achieving fully automated, physically plausible 3D motion synthesis is a core objective in graphics and genera
To perform a wide range of daily tasks, robots need to construct a 3D representation that is semantically rich
Modeling high-frequency outgoing radiance distributions remains a fundamental challenge in global illumination
Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object rela
Soft-bodied organisms such as octopuses and elephant trunks exhibit remarkable morphological adaptability, dyn
Existing scientific relation extraction benchmarks mainly target domains such as computer science, where entit
Scientific machine learning is limited less by model size than by the data it is trained on. Observational dat
Large language models (LLMs) are increasingly proposed as clinical agents, yet static, single-turn benchmarks
Selection is a core operation in interactive image editing. To be practical, a user should be able to specify
We demonstrate that nonlinear computing can be achieved with a single linear diffractive surface under coheren
Aim/Introduction: Distance-encoding biomorphic-informational neural network (DEBI-NN) is a recently proposed a