
Incremental Unsupervised DomainAdversarial Training of Neural Networks
In the context of supervised statistical learning, it is typically assum...
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BIMCV COVID19+: a large annotated dataset of RX and CT images from COVID19 patients
In this work we describe BIMCVCOVID19+ dataset, a large dataset from M...
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SemEval2010 Task 8: MultiWay Classification of Semantic Relations Between Pairs of Nominals
In response to the continuing research interest in computational semanti...
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3D nonrigid registration using color: Color Coherent Point Drift
Research into object deformations using computer vision techniques has b...
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A Review on Deep Learning Techniques Applied to Semantic Segmentation
Image semantic segmentation is more and more being of interest for compu...
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μMAR: Multiplane 3D Marker based Registration for Depthsensing Cameras
Many applications including object reconstruction, robot guidance, and s...
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Threedimensional planar model estimation using multiconstraint knowledge based on kmeans and RANSAC
Plane model extraction from threedimensional point clouds is a necessar...
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Best Viewpoint Tracking for Camera Mounted on Robotic Arm with Dynamic Obstacles
The problem of finding a next best viewpoint for 3D modeling or scene ma...
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A selectional autoencoder approach for document image binarization
Binarization plays a key role in the automatic information retrieval fro...
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MirBot, a collaborative object recognition system for smartphones using convolutional neural networks
MirBot is a collaborative application for smartphones that allows users ...
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Translation of Pronominal Anaphora between English and Spanish: Discrepancies and Evaluation
This paper evaluates the different tasks carried out in the translation ...
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A Light SlidingWindow PartofSpeech Tagger for the Apertium Free/OpenSource Machine Translation Platform
This paper describes a free/opensource implementation of the light slid...
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Obtaining the coefficients of a Vector Autoregression Model through minimization of parameter criteria
VAR models are a type of multiequation model that have been widely appl...
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Learning Eligibility in Clinical Cancer Trials using Deep Neural Networks
Interventional clinical cancer trials are generally too restrictive and ...
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Learning Eligibility in Cancer Clinical Trials using Deep Neural Networks
Interventional cancer clinical trials are generally too restrictive and ...
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Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting
A popular application of machine translation (MT) is gisting: MT is cons...
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NonMatrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability?
Tactile sensors supply useful information during the interaction with an...
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AutOTranS: an Autonomous Open World Transportation System
Tasks in outdoor open world environments are now ripe for automation wit...
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UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation
Datadriven algorithms have surpassed traditional techniques in almost e...
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UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feedforward neural networks
We describe the Universitat d'Alacant submissions to the word and sente...
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The Boosted DC Algorithm for nonsmooth functions
The Boosted Difference of Convex functions Algorithm (BDCA) was recently...
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The RobotriX: An eXtremely Photorealistic and VeryLargeScale Indoor Dataset of Sequences with Robot Trajectories and Interactions
Enter the RobotriX, an extremely photorealistic indoor dataset designed ...
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PadChest: A large chest xray image dataset with multilabel annotated reports
We present a labeled largescale, high resolution chest xray dataset fo...
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Using positive spanning sets to achieve stationarity with the Boosted DC Algorithm
The Difference of Convex function Algorithm (DCA) is widely used for min...
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Estimating postediting effort: a study on human judgements, taskbased and referencebased metrics of MT quality
Devising metrics to assess translation quality has always been at the co...
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Efficient ML Direction of Arrival Estimation assuming Unknown Sensor Noise Powers
This paper presents an efficient method for computing maximum likelihood...
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Systematic Maximum Sum Rank Codes
In the last decade there has been a great interest in extending results ...
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Quid Pro Quo allocations in ProductionInventory games
The concept of Owen point, introduced in Guardiola et al. (2009), is an ...
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When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Registration is the process that computes the transformation that aligns...
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Learning synchronous contextfree grammars with multiple specialised nonterminals for hierarchical phrasebased translation
Translation models based on hierarchical phrasebased statistical machin...
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Flag Codes from Planar Spreads in Network Coding
In this paper we study a class of multishot network codes given by famil...
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Optimum Distance Flag Codes from Spreads in Network Coding
We study multishot codes in network coding given by families of flags on...
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List decoding of Convolutional Codes over integer residue rings
A convolutional code over [D] is a [D]submodule of [D] where [D] stand...
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Superregular matrices over small finite fields
A trivially zero minor of a matrix is a minor having all its terms in th...
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Path Planning With NaiveValleyPath Obstacle Avoidance and Global MapFree
In this paper, we present a complete Path Planning approach divided into...
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Flag codes of maximum distance and constructions using Singer groups
In this paper we study flag codes of maximum distance. We characterize t...
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Rethinking Data Augmentation for LowResource Neural Machine Translation: A MultiTask Learning Approach
In the context of neural machine translation, data augmentation (DA) tec...
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University of Alicante
The University of Alicante was established in 1979 on the basis of the Center for University Studies, which was founded in 1968.