
Optimal Sepsis Patient Treatment using Humanintheloop Artificial Intelligence
Sepsis is one of the leading causes of death in Intensive Care Units (IC...
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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paperbased media,...
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PlugandPlay Rescaling Based Crowd Counting in Static Images
Crowd counting is a challenging problem especially in the presence of hu...
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Learning Depth from Single Images with Deep Neural Network Embedding Focal Length
Learning depth from a single image, as an important issue in scene under...
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BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
Understanding the global optimality in deep learning (DL) has been attra...
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A Cluster Fusion Penalty for Grouping Response Variables in Multivariate Regression Models
We propose a method for estimating coefficients in multivariate regressi...
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Discriminatory Transfer
We observe standard transfer learning can improve prediction accuracies ...
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Visionbased RealTime Aerial Object Localization and Tracking for UAV Sensing System
The paper focuses on the problem of visionbased obstacle detection and ...
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RealTime Visual Tracking: Promoting the Robustness of Correlation Filter Learning
Correlation filtering based tracking model has received lots of attentio...
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Tracking Completion
A fundamental component of modern trackers is an online learned tracking...
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Bayesian ensemble learning for image denoising
Natural images are often affected by random noise and image denoising ha...
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DeepPicar: A Lowcost Deep Neural Networkbased Autonomous Car
We present DeepPicar, a lowcost deep neural network based autonomous ca...
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Protecting RealTime GPU Applications on Integrated CPUGPU SoC Platforms
Integrated CPUGPU architecture provides excellent acceleration capabili...
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Composing Scalable Nonlinear Algebraic Solvers
Most efficient linear solvers use composable algorithmic components, wit...
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Protecting MemoryPerformance Critical Sections in Soft RealTime Applications
Soft realtime applications such as multimedia applications often show b...
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The origins of Zipf's meaningfrequency law
In his pioneering research, G. K. Zipf observed that more frequent words...
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MultiTask Spatiotemporal Neural Networks for Structured Surface Reconstruction
Deep learning methods have surpassed the performance of traditional tech...
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FEAST Eigensolver for Nonlinear Eigenvalue Problems
The linear FEAST algorithm is a method for solving linear eigenvalue pro...
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LowOverhead Coordination in Sub28 MillimeterWave Networks
In this paper, we present some contributions from our recent investigati...
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Protecting realtime GPU kernels on integrated CPUGPU SoC platforms
Integrated CPUGPU architecture provides excellent acceleration capabili...
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MDCN: MultiScale, Deep Inception Convolutional Neural Networks for Efficient Object Detection
Object detection in challenging situations such as scale variation, occl...
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Finite degree clones are undecidable
A clone of functions on a finite domain determines and is determined by ...
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SemiExplicit Solutions to some NonLinear NonQuadratic MeanFieldType Games: A Direct Method
This article examines the solvability of meanfieldtype game problems b...
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RTGang: RealTime Gang Scheduling Framework for SafetyCritical Systems
In this paper, we present RTGang: a novel realtime gang scheduling fra...
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DenialofService Attacks on Shared Cache in Multicore: Analysis and Prevention
In this paper we investigate the feasibility of denialofservice (DoS) ...
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Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISCV SoC on FireSim
NVDLA is an opensource deep neural network (DNN) accelerator which has ...
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MatrixValued MeanFieldType Games: RiskSensitive, Adversarial, and RiskNeutral LinearQuadratic Case
In this paper we study a class of matrixvalued linearquadratic meanfi...
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Harnessing Fluctuations in Thermodynamic Computing via TimeReversal Symmetries
We experimentally demonstrate that highly structured distributions of wo...
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Unsupervised Deep Feature Transfer for Low Resolution Image Classification
In this paper, we propose a simple while effective unsupervised deep fea...
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Exploring Reproducibility and FAIR Principles in Data Science Using Ecological Niche Modeling as a Case Study
Reproducibility is a fundamental requirement of the scientific process s...
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Towards Learning AffineInvariant Representations via DataEfficient CNNs
In this paper we propose integrating a priori knowledge into both design...
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Coherence Statistics of Structured Random Ensembles and Support Detection Bounds for OMP
A structured random matrix ensemble that maintains constant modulus entr...
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An IntervalValued Utility Theory for Decision Making with DempsterShafer Belief Functions
The main goal of this paper is to describe an axiomatic utility theory f...
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QuB: A Resource Aware Functional Programming Language
Managing resources—file handles, database connections, etc.—is a hard pr...
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Virtual Gang based Scheduling of RealTime Tasks on Multicore Platforms
We propose a virtualgang based parallel realtime task scheduling appro...
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EnergyAware MultiServer Mobile Edge Computing: A Deep Reinforcement Learning Approach
We investigate the problem of computation offloading in a mobile edge co...
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Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing
In this paper, we study the distributed computational capabilities of de...
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Estimating Multiple Precision Matrices with Cluster Fusion Regularization
We propose a penalized likelihood framework for estimating multiple prec...
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MemoryAware DenialofService Attacks on Shared Cache in Multicore RealTime Systems
In this paper, we identify that memory performance plays a crucial role ...
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A Comparative Study on Polyp Classification using Convolutional Neural Networks
Colorectal cancer is the third most common cancer diagnosed in both men ...
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LocationAware Box Reasoning for AnchorBased SingleShot Object Detection
In the majority of object detection frameworks, the confidence of instan...
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Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks
Devicetodevice (D2D) communications is expected to be a critical enabl...
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Enhanced Beam Alignment for Millimeter Wave MIMO Systems: A Kolmogorov Model
We present an enhancement to the problem of beam alignment in millimeter...
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DelayEfficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes
We investigate the problem of delayefficient and reliable data delivery...
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Why LayerWise Learning is Hard to Scaleup and a Possible Solution via Accelerated Downsampling
Layerwise learning, as an alternative to global backpropagation, is ea...
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Analog Computation and Representation
Relative to digital computation, analog computation has been neglected i...
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MultiIRSassisted MultiCell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach
Applications of intelligent reflecting surfaces (IRSs) in wireless netwo...
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Integrating Electrochemical Modeling with Machine Learning for LithiumIon Batteries
Mathematical modeling of lithiumion batteries (LiBs) is a central chall...
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The University of Kansas
The University of Kansas School of Engineering, founded in 1891 is the oldest Engineering School in the State of Kansas, although engineering degrees were awarded as early as 1873.