39 citations · 53 across the 4 of their papers we have counts for
8 papers
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen +3
Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep…
Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions
Chase J Gaudet, Anthony S Maida
We show that the core reasons that complex and hypercomplex valued neural networks offer improvements over their real-valued counterparts is the weight sharing mechanism and treati…
Hierarchical Predictive Coding Models in a Deep-Learning Framework
Matin Hosseini, Anthony Maida
Bayesian predictive coding is a putative neuromorphic method for acquiring higher-level neural representations to account for sensory input. Although originating in the neuroscienc…
Inception-inspired LSTM for Next-frame Video Prediction
Matin Hosseini, Anthony S. Maida, Majid Hosseini +1
The problem of video frame prediction has received much interest due to its relevance to many computer vision applications such as autonomous vehicles or robotics. Supervised metho…
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification
Nelly Elsayed, Anthony S. Maida, Magdy Bayoumi
Hybrid LSTM-fully convolutional networks (LSTM-FCN) for time series classification have produced state-of-the-art classification results on univariate time series. We show that rep…
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction
Nelly Elsayed, Anthony S. Maida, Magdy Bayoumi
Spatiotemporal sequence prediction is an important problem in deep learning. We study next-frame(s) video prediction using a deep-learning-based predictive coding framework that us…