TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

The basic principle of classification of the NOC is the kind of work performed. It represents the main source of information for identifying and grouping occupations. ESDC, in partnership with ...

DiariZen (Han et al., ICASSP 2025) is the leading open-source state-of-the-art speaker diarization system. It combines a structurally pruned WavLM-Large encoder, a Conformer backend with powerset ...

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...

SINGAPORE – A member of an organised criminal group recorded at least 20 videos teaching viewers how to scam Singaporeans by using malware. The court heard on Dec 9 that this was the first prosecution ...

Abstract: Citation analysis is an active area of research for various reasons. So far, statistical approaches are mainly used for citation analysis, which does not look into the internal context of ...

The workshop aims to explore the transformative impact of Generative AI on official statistics and provide a platform for professionals and stakeholders to exchange knowledge, showcase practical ...

The increasing availability of complex, heterogeneous datasets poses significant challenges for traditional data-driven methods, which often assume data homogeneity and fail to account for internal ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Abstract: The research community has begun looking for IP traffic classification techniques that do not rely on `well known' TCP or UDP port numbers, or interpreting the contents of packet payloads.