Canvas for Data Science — A browser-based visual data science platform that enables users to build, execute, and share data transformation and analysis pipelines through an intuitive drag-and-drop ...

Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...

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1 Department of Computer Engineering, College of Engineering and Petroleum, Kuwait University, Safat, Kuwait 2 Department of Computer Sciences, University of Hamburg, Hamburg, Germany The metrical ...

Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In this paper, ...

End-to-end (E2E) neural networks have emerged as flexible and accurate models for multilingual automatic speech recognition (ASR). However, as the number of supported languages increases, particularly ...

Abstract: Cross-modal hashing encodes different modalities of multimodal data into low-dimensional Hamming space for fast cross-modal retrieval. In multi-label cross-modal retrieval, multimodal data ...