Jim Bezdek

FORESEEN: Towards Differentially Private Deep Inference for Intelligent Internet of Things

L Lyu, JC Bezdek, J Jin, Y Yang

Journal article  |  2020  |  IEEE Journal on Selected Areas in Communications

In state-of-the-art deep learning, centralized deep learning forces end devices to pool their data in the cloud in order to train ..

Experiments with maximin sampling

OA Ibrahim, J Keller, JC Bezdek, M Popescu

Conference Proceedings  |  2020  |  2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

To apply clustering algorithms to big data, or to build clustering ensembles, it is a standard process to sample the original data..

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams.

Punit Rathore, Dheeraj Kumar, James C Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami

Journal article  |  2020  |  IEEE Transactions on Cybernetics

The widespread use of Internet-of-Things (IoT) technologies, smartphones, and social media services generates huge amounts of data..

Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors

S Datta, JC Bezdek, M Palaniswami

Conference Proceedings  |  2020  |  2019 IEEE Symposium Series on Computational Intelligence (SSCI)

Clustering waveform data is used in applications ranging from healthcare to economics and entertainment. In this paper, we present..

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Z Ghafoori, JC Bezdek, C Leckie, S Karunasekera

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Unsupervised anomaly detection is commonly performed using a distance or density based technique, such as K-Nearest neighbours, Lo..

Cluster tendency assessment in neuronal spike data.

Sara Mahallati, James C Bezdek, Milos R Popovic, Taufik A Valiante

Journal article  |  2019  |  PLoS One

Sorting spikes from extracellular recording into clusters associated with distinct single units (putative neurons) is a fundamenta..

A Scalable Framework for Trajectory Prediction

Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C Bezdek

Journal article  |  2019  |  IEEE Transactions on Intelligent Transportation Systems

Trajectory prediction (TP) is of great importance for a wide range of location-based applications in intelligent transport systems..

Seeding on samples for accelerating k-means clustering

JS Low, Z Ghafoori, JC Bezdek, C Leckie

Conference Proceedings  |  2019  |  Proceedings of the 3rd International Conference on Big Data and Internet of Things - BDIOT 2019

K-means clustering with random seeds results in arbitrarily poor clusters. Much work as been done to improve initial centroid sele..

A weighted multiple classifier framework based on random projection

TT Nguyen, MT Dang, AWC Liew, JC Bezdek

Journal article  |  2019  |  Information Sciences