activity
20032023
most citedIncremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study

5 citations · 15 across the 16 of their papers we have counts for

collaborators

16 papers

cs.LG2023

GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty

Tao Wu, Tie Luo, Donald C. Wunsch

Adversarial examples (AE) with good transferability enable practical black-box attacks on diverse target models, where insider knowledge about the target models is not required. Pr…

cs.CV2022

Learning Deep Representations via Contrastive Learning for Instance Retrieval

Tao Wu, Tie Luo, Donald Wunsch

Instance-level Image Retrieval (IIR), or simply Instance Retrieval, deals with the problem of finding all the images within an dataset that contain a query instance (e.g. an object…

cs.LG2021

Incremental cluster validity index-guided online learning for performance and robustness to presentation order

Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch

In streaming data applications incoming samples are processed and discarded, therefore, intelligent decision-making is crucial for the performance of lifelong learning systems. In…

cs.LG2020★ 1 cited

iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices

Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch

This paper presents an adaptive resonance theory predictive mapping (ARTMAP) model which uses incremental cluster validity indices (iCVIs) to perform unsupervised learning, namely…

cs.LG2020★ 4 cited

StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search

Islam Elnabarawy, Kristijana Arroyo, Donald C. Wunsch

The real-time strategy game of StarCraft II has been posed as a challenge for reinforcement learning by Google's DeepMind. This study examines the use of an agent based on the Mont…

cs.CR2020★ 1 cited

Survey of Privacy-Preserving Collaborative Filtering

Islam Elnabarawy, Wei Jiang, Donald C. Wunsch

Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests. Th…