Search Results - "Moura, M.F."

Gradient Networks by Chaudhari, Shreyas, Pranav, Srinivasa, Moura, Jose M.F.

“…Directly parameterizing and learning gradients of functions has widespread significance, with specific applications in inverse problems, generative modeling,…”
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An efficient method to detect periodic behavior in botnet traffic by analyzing control plane traffic by AsSadhan, Basil, Moura, José M.F.

“…Botnets are large networks of bots (compromised machines) that are under the control of a small number of bot masters. They pose a significant threat to…”
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Mode-I interlaminar fracture of carbon/epoxy cross-ply composites by de Morais, A.B., de Moura, M.F., Marques, A.T., de Castro, P.T.

“…Mode-I double-cantilever beam (DCB) tests were performed on carbon/epoxy [0°/90°] 12 specimens. The starter crack was created at mid-thickness, between the 0…”
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Scale transform signal processing for optimal ultrasonic temperature compensation by Harley, J. B., Moura, J. M. F.

“…In structural health monitoring, temperature compensation is an important step to reduce systemic errors and avoid false-positive results. Several methods have…”
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Graph Classification: Tradeoffs between Deep Neural Network Architecture and Graph Topology by Cheung, Mark, Moura, Jose M.F.

“…Deep learning techniques such as convolutional neural networks (CNNs) have significantly impacted fields like computer vision and other Euclidean data domains…”
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PCR214 Patient Voice in Pharmaceutical Company: The Case of Patient Committee in Brazil by Julian, G., Santos, H.W., Moura, M.F.

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Analysis of crack propagation in double cantilever beam tests of multidirectional laminates by de Morais, A.B, de Moura, M.F, Gonçalves, J.P.M, Camanho, P.P

“…This paper presents numerical analyses of crack propagation in double cantilever beam (DCB) tests of multidirectional laminates. Three-dimensional finite…”
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From DSP to GSP: Sampling in Both Domains by Shi, John, Moura, Jose M.F.

“…In Discrete Signal Processing (DSP), sampling in the time domain chooses time samples from which the original bandlimited signal can be perfectly…”
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Deep Beamforming for Joint Direction of Arrival Estimation and Source Detection by Chaudhari, Shreyas, Moura, Jose M.F.

“…Direction of arrival (DoA) estimation is a well studied problem with several significant applications in radar, sonar, wireless communications, and audio…”
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Using Sparse Spectral Shifts in Graph CNNs by Lin, Austin, Summer, Wendy, Shi, John, Cheung, Mark, Moura, Jose M.F.

“…Graph convolutional neural networks (graph CNNs) have shown great promise in graph classification problems with graph data. Current graph CNNs use vertex…”
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Topics in Graph Signal Processing: Convolution and Modulation by Shi, John, Moura, Jose M.F.

“…Graph signals are signals indexed by nodes of the graph. Graph Signal Processing (GSP) extends Discrete Signal Processing (DSP) to graph signals.In this paper,…”
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On Network Science and Mutual Information for Explaining Deep Neural Networks by Davis, Brian, Bhatt, Umang, Bhardwaj, Kartikeya, Marculescu, Radu, Moura, Jose M.F.

“…In this paper, we present a new approach to interpret deep learning models. By coupling mutual information with network science, we explore how information…”
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Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for DCTs and DSTs by Puschel, M., Moura, J.M.F.

“…This paper presents a systematic methodology to derive and classify fast algorithms for linear transforms. The approach is based on the algebraic signal…”
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Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification by Jiang, Lavender Y., Shi, John, Cheung, Mark, Wright, Oren, Moura, Jose M.F.

“…Graph neural networks (GNNs) extend convolutional neural networks (CNNs) to graph based data. A question that arises is how much performance improvement does…”
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Oral health education for systemic sclerosis patients: A booklet report by Almeida, Thalles G., Ferreira, Alessandra R.H., da Silva, Felipe S., Chaves, Caio C., Assunção, Bárbara N., Martins, Priscila S., das Dores, Alessandra S., de Moura, Regina M.F., Andrade, Júnia A., Santos, Flávia P.S.T., Ferreira, Gilda A., Calderaro, Débora C.

“…Systemic sclerosis (SSc) is a rare chronic autoimmune disease characterized by vascular abnormalities and connective tissue disorders. In 2021, the…”
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Signal Processing on Graphs: Causal Modeling of Unstructured Data by Mei, Jonathan, Moura, Jose M. F.

“…Many applications collect a large number of time series, for example, the financial data of companies quoted in a stock exchange, the health care data of all…”
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Consensus+Innovations Distributed Kalman Filter With Optimized Gains by Das, Subhro, Moura, Jose M. F.

“…In this paper, we address the distributed filtering and prediction of time-varying random fields represented by linear time-invariant (LTI) dynamical systems…”
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Distributed Kalman Filtering With Dynamic Observations Consensus by Das, Subhro, Moura, Jose M. F.

“…This paper studies distributed estimation of unstable dynamic random fields observed by a sparsely connected network of sensors. The field dynamics are…”
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Discrete Signal Processing on Graphs: Frequency Analysis by Sandryhaila, Aliaksei, Moura, Jose M. F.

“…Signals and datasets that arise in physical and engineering applications, as well as social, genetics, biomolecular, and many other domains, are becoming…”
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Fast Distributed Gradient Methods by Jakovetic, Dusan, Xavier, Joao, Moura, Jose M. F.

“…We study distributed optimization problems when N nodes minimize the sum of their individual costs subject to a common vector variable. The costs are convex,…”
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