Addressing Noise and Stochasticity in Fraud Detection for Service Networks.

FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection.

Decomposition-based multi-scale transformer framework for time series anomaly detection.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection.

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection.

Decomposition-based multi-scale transformer framework for time series anomaly detection.

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors.

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.

A comparison analysis for credit scoring using bagging ensembles.

Reinforcement learning based framework for COVID-19 resource allocation.

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.

A comprehensive decision support approach for credit scoring.

User activity measurement in rating-based online-to-offline (O2O) service recommendation.

An Approach for Risk Prioritization in Construction Projects Using Analytic Network Process and Decision Making Trial and Evaluation Laboratory.

Stochastic Correlation in Risk Analytics: A Financial Perspective.

A deep learning approach for credit scoring using credit default swaps.

Robust DEA to assess the reliability of methyl methacrylate-hardened hybrid poplar wood.

A Decision Support Approach for Accounts Receivable Risk Management.

Efficiency Evaluation for Supply Chains Using Maximin Decision Support.

Risk modeling in crude oil market: a comparison of Markov switching and GARCH models.