1 code implementation • 7 May 2024 • Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu, Raja Jurdak
In the era of increasing concerns over cybersecurity threats, defending against backdoor attacks is paramount in ensuring the integrity and reliability of machine learning models.
no code implementations • 27 Mar 2024 • Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner
We introduce a distributed algorithm, termed noise-robust distributed maximum consensus (RD-MC), for estimating the maximum value within a multi-agent network in the presence of noisy communication links.
no code implementations • 27 Mar 2024 • Ehsan Lari, Reza Arablouei, Stefan Werner
To address this, we propose a privacy-preserving algorithm for fully-distributed NMF that decomposes a distributed large data matrix into left and right matrix factors while safeguarding each agent's local data privacy.
no code implementations • 19 Mar 2024 • Ehsan Lari, Vinay Chakravarthi Gogineni, Reza Arablouei, Stefan Werner
PSO-Fed reduces the communication load by enabling clients to exchange only a fraction of their model estimates with the server at each update round.
no code implementations • 5 Oct 2023 • Jia Syuen Lim, Ziwei Wang, Jiajun Liu, Abdelwahed Khamis, Reza Arablouei, Robert Barlow, Ryan McAllister
Regulatory compliance auditing across diverse industrial domains requires heightened quality assurance and traceability.
1 code implementation • 15 Aug 2023 • Timothy Tadj, Reza Arablouei, Volkan Dedeoglu
These features can be used to learn ML models for recognizing the trustworthiness of IoT sensor data.
no code implementations • 26 May 2023 • Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham
Therefore, we introduce a new dataset, called Cattle Visual Behaviors (CVB), that consists of 502 video clips, each fifteen seconds long, captured in natural lighting conditions, and annotated with eleven visually perceptible behaviors of grazing cattle.
no code implementations • 31 Oct 2022 • Ziwei Wang, Reza Arablouei, Jiajun Liu, Paulo Borges, Greg Bishop-hurley, Nicholas Heaney
Object classification using LiDAR 3D point cloud data is critical for modern applications such as autonomous driving.
no code implementations • 9 Sep 2022 • Reza Arablouei, Liang Wang, Caitlin Phillips, Lachlan Currie, Jordan Yates, Greg Bishop-hurley
The evaluation results using two real-world animal behavior classification datasets show that the classification accuracy of the student GRU-MLP models improves appreciably through KD, approaching that of the teacher ResNet model.
no code implementations • 23 Aug 2022 • Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner
We develop a new consensus-based distributed algorithm for solving learning problems with feature partitioning and non-smooth convex objective functions.
1 code implementation • 24 Jun 2022 • Reza Arablouei, Ziwei Wang, Greg J. Bishop-Hurley, Jiajun Liu
However, the multimodal animal behavior classification algorithm based on posterior probability fusion is preferable to the one based on feature concatenation as it delivers better classification accuracy, has less computational and memory complexity, is more robust to sensor data failure, and enjoys better modularity.
no code implementations • 24 Nov 2021 • Liang Wang, Reza Arablouei, Flavio A. P. Alvarenga, Greg J. Bishop-Hurley
We study the classification of animal behavior using accelerometry data through various recurrent neural network (RNN) models.
no code implementations • 24 Nov 2021 • Reza Arablouei, Liang Wang, Lachlan Currie, Jordan Yates, Flavio A. P. Alvarenga, Greg J. Bishop-Hurley
We develop an end-to-end deep-neural-network-based algorithm for classifying animal behavior using accelerometry data on the embedded system of an artificial intelligence of things (AIoT) device installed in a wearable collar tag.
no code implementations • 7 Oct 2020 • Ayoob Salari, Mahyar Shirvanimoghaddam, Muhammad Basit Shahab, Reza Arablouei, Sarah Johnson
Since the accuracy of the utilized clustering algorithm depends on the number of the data points available at the receiver, the proposed technique delivers a tradeoff between the accuracy and block length.
1 code implementation • 13 Dec 2017 • Reza Arablouei
We use the well-known forward observation and linear mixture models with Gaussian perturbations to formulate the maximum-likelihood estimator of the endmember abundance matrix of the fused image.
no code implementations • 1 Aug 2016 • Reza Arablouei, Ethan Goan, Stephen Gensemer, Branislav Kusy
Using the image sensor pair, the device can simultaneously capture hyperspectral data as well as RGB images of the scene.
no code implementations • 9 Nov 2015 • Reza Arablouei, Frank de Hoog
Numerical simulations using real hyperspectral images exhibit that the proposed algorithm offers an excellent recovery performance with a number of measurements that is only a small fraction of the hyperspectral image data size.
no code implementations • 25 Aug 2014 • Reza Arablouei, Stefan Werner, Kutluyıl Doğançay, Yih-Fang Huang
In diffusion-based algorithms for adaptive distributed estimation, each node of an adaptive network estimates a target parameter vector by creating an intermediate estimate and then combining the intermediate estimates available within its closed neighborhood.
no code implementations • 25 Aug 2014 • Reza Arablouei, Kutluyıl Doğançay, Stefan Werner
We develop a recursive total least-squares (RTLS) algorithm for errors-in-variables system identification utilizing the inverse power method and the dichotomous coordinate-descent (DCD) iterations.