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04/25/2023
Deep Learning Framework for the Design of Orbital Angular Momentum Generators Enabled by Leaky-wave Holograms
In this paper, we present a novel approach for the design of leaky-wave ...
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02/03/2023
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Transferring the ImageNet pre-trained weights to the various remote sens...
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08/29/2020
On segmentation of pectoralis muscle in digital mammograms by means of deep learning
Computer-aided diagnosis (CAD) has long become an integral part of radio...
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04/01/2019
Palmprint image registration using convolutional neural networks and Hough transform
Minutia-based palmprint recognition systems has got lots of interest in ...
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11/15/2017
Statistical Approaches for Initial Access in mmWave 5G Systems
mmWave communication systems overcome high attenuation by using multiple...
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08/16/2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
Missing data and noisy observations pose significant challenges for reli...
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04/06/2017
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions
Treatment effects can be estimated from observational data as the differ...
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12/20/2015
ATD: Anomalous Topic Discovery in High Dimensional Discrete Data
We propose an algorithm for detecting patterns exhibited by anomalous cl...
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01/22/2014
