249 citations · 512 across the 20 of their papers we have counts for
23 papers
Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization
Dat Thanh Tran, Van Khu Vu, Yining Ma
Neural-guided Ant Colony Optimization (ACO) suffers from a fundamental training-inference misalignment: policies are typically trained to generate static priors (e.g., heatmaps), y…
NeuFACO: Neural Focused Ant Colony Optimization for Traveling Salesman Problem
Dat Thanh Tran, Khai Quang Tran, Khoi Anh Pham +2
This study presents Neural Focused Ant Colony Optimization (NeuFACO), a non-autoregressive framework for the Traveling Salesman Problem (TSP) that combines advanced reinforcement l…
Cryptocurrency Portfolio Optimization by Neural Networks
Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen +2
Many cryptocurrency brokers nowadays offer a variety of derivative assets that allow traders to perform hedging or speculation. This paper proposes an effective algorithm based on…
Recognition of Defective Mineral Wool Using Pruned ResNet Models
Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
Mineral wool production is a non-linear process that makes it hard to control the final quality. Therefore, having a non-destructive method to analyze the product quality and recog…
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification
Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen +1
Deep Learning models have become dominant in tackling financial time-series analysis problems, overturning conventional machine learning and statistical methods. Most often, a mode…
Variational Neural Networks
Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
Bayesian Neural Networks (BNNs) provide a tool to estimate the uncertainty of a neural network by considering a distribution over weights and sampling different models for each inp…