unsupervised clustering

DataFunSummit

Aug 8, 2022 · Artificial Intelligence

Voice Analysis for Financial Risk Control: Feature Extraction, Single-Channel Speech Separation, and Text Tagging

This talk presents the application of voice analysis in financial risk control, covering voice‑based risk feature extraction, single‑channel speech separation techniques, and speech‑text labeling methods, demonstrating how acoustic and textual cues can be leveraged to improve risk detection and model performance.

Audio Processingmachine learningrisk control

0 likes · 12 min read

Voice Analysis for Financial Risk Control: Feature Extraction, Single-Channel Speech Separation, and Text Tagging

DataFunTalk

Jul 9, 2022 · Artificial Intelligence

User Behavior Sequence Based Transaction Anti‑Fraud Detection

This presentation explains how leveraging user behavior sequences with supervised and unsupervised deep learning models, including end‑to‑end and two‑stage architectures, improves transaction fraud detection by identifying distinct patterns of account takeover and stolen‑card activities and outlines the engineering deployment pipeline.

deep learningembeddingfraud detection

0 likes · 12 min read

User Behavior Sequence Based Transaction Anti‑Fraud Detection

Amap Tech

Dec 20, 2019 · Artificial Intelligence

Advances in Network Positioning: Unsupervised Clustering and Supervised Hierarchical Ranking Algorithms

Gaode’s network positioning has evolved from unsupervised clustering of massive AP fingerprints and Bayesian grid ranking to a supervised two‑level hierarchical model that scores candidate grids with a neural‑network LTR loss, while adding scenario‑specific CNN and spatio‑temporal modules for indoor, rail and subway accuracy, and it now looks toward image‑based, 5G and IoT positioning.

big datafingerprint localizationgeolocation

0 likes · 12 min read

Advances in Network Positioning: Unsupervised Clustering and Supervised Hierarchical Ranking Algorithms