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Studying the Maximum Instantaneous Non-Synchronous Generation in an Island Systemโ€”Frequency Stability Challenges in Ireland
Kinetic Energy of Wind-Turbine Generators for System Frequency Support
Frequency control and wind turbine technologies
Studying the Maximum Instantaneous Non-Synchronous Generation in an Island Systemโ€”Frequency Stability Challenges in Ireland
Kinetic Energy of Wind-Turbine Generators for System Frequency Support
User-Defined Gestures for Connecting Mobile Phones, Public Displays, and Tabletops
Studying the Maximum Instantaneous Non-Synchronous Generation in an Island Systemโ€”Frequency Stability Challenges in Ireland
Kinetic Energy of Wind-Turbine Generators for System Frequency Support
Child with Saethre-Chotzen syndrome: anesthetic management and literature review.
Studying the Maximum Instantaneous Non-Synchronous Generation in an Island Systemโ€”Frequency Stability Challenges in Ireland
Kinetic Energy of Wind-Turbine Generators for System Frequency Support
Resolving Lexical Ambiguity in Tensor Regression Models of Meaning
Semi-Supervised QA with Generative Domain-Adaptive Nets
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
Semi-supervised learning of compact document representations with deep networks
Semi-Supervised QA with Generative Domain-Adaptive Nets
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
Clinical, genetic, and molecular aspects of split-hand/foot malformation: an update.
Semi-Supervised QA with Generative Domain-Adaptive Nets
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Training deep neural-networks based on unreliable labels
Semi-Supervised QA with Generative Domain-Adaptive Nets
Words or Characters? Fine-grained Gating for Reading Comprehension
Planar transformer for high frequency high voltage generation applications
Integrating Transformer and Paraphrase Rules for Sentence Simplification
PPDB: The Paraphrase Database
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Frustratingly Short Attention Spans in Neural Language Modeling
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Problems in Current Text Simplification Research: New Data Can Help
Revisiting Whittaker & Sidner's "email overload" ten years later
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Memory-augmented Neural Machine Translation
Imaging of Total Knee Arthroplasty
E-commerce diffusion in high-income developing countries : determinants of e-commerce adoption and post-adoption of Saudi enterprises
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
Research Report : Empirical Test of an EDI Adoption Model
E-commerce diffusion in high-income developing countries : determinants of e-commerce adoption and post-adoption of Saudi enterprises
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
Extreme User and Political Rumor Detection on Twitter
E-commerce diffusion in high-income developing countries : determinants of e-commerce adoption and post-adoption of Saudi enterprises
eCommerce adoption in developing countries: a model and instrument
Importance masks for revealing occluded objects in augmented reality
E-commerce diffusion in high-income developing countries : determinants of e-commerce adoption and post-adoption of Saudi enterprises
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
Iteratively unveiling new regions of interest in Deep Learning models
Mining Implicit Data Association from Tripadvisor Hotel Reviews
The WEKA data mining software: an update
LIBLINEAR: A library for large linear classification
Mining Implicit Data Association from Tripadvisor Hotel Reviews
The WEKA data mining software: an update
an optimization algorithm inspired by musical composition in constrained optimization problems un algoritmo de optimizacion inspirado en composicion musical para el problema de optimizacion con restricciones .
Mining Implicit Data Association from Tripadvisor Hotel Reviews
Integrating classification and association rule mining
Automatic Root Cause Analysis for LTE Networks Based on Unsupervised Techniques
Mining Implicit Data Association from Tripadvisor Hotel Reviews
The WEKA data mining software: an update
Comparison of Question Answering Systems Based on Ontology and Semantic Web in Different Environment
Automatic detection of circular objects by ellipse growing
Lower order circle and ellipse hough transform
A fast ellipse/circle detector using geometric symmetry
Automatic detection of circular objects by ellipse growing
circle recognition through a 2d hough transform and radius histogramming .
Skin aging as a mechanical phenomenon: The main weak links
Automatic detection of circular objects by ellipse growing
Lower order circle and ellipse hough transform
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
Automatic detection of circular objects by ellipse growing
Lower order circle and ellipse hough transform
evolution of a mars airplane concept for the ares mars scout mission .
Program Synthesis Without Full Specifications for Novel Applications
Automatically finding patches using genetic programming
Parameterized unit tests
Program Synthesis Without Full Specifications for Novel Applications
pex - white box test generation for . net .
Ensuring Privacy When Integrating Patient-Based Datasets: New Methods and Developments in Record Linkage
Program Synthesis Without Full Specifications for Novel Applications
GenProg: A Generic Method for Automatic Software Repair
Efficient Inter-node MPI Communication Using GPUDirect RDMA for InfiniBand Clusters with NVIDIA GPUs
Program Synthesis Without Full Specifications for Novel Applications
The vocabulary problem in human-system communication
Logic Programming Applications: What Are the Abstractions and Implementations?
Support Vector Machine Application for Multiphase Flow Pattern Prediction
The Nature of Statistical Learning Theory
Local Learning Algorithms
Support Vector Machine Application for Multiphase Flow Pattern Prediction
The Nature of Statistical Learning Theory
Pathogen effectors target Arabidopsis EDS1 and alter its interactions with immune regulators.
Support Vector Machine Application for Multiphase Flow Pattern Prediction
The Nature of Statistical Learning Theory
DroidBarrier: know what is executing on your android
Support Vector Machine Application for Multiphase Flow Pattern Prediction
The Nature of Statistical Learning Theory
A Visual Backchannel for Large-Scale Events
A robust pose graph approach for city scale LiDAR mapping
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
Model Based Vehicle Detection and Tracking for Autonomous Urban Driving
A robust pose graph approach for city scale LiDAR mapping
Unsupervised Calibration for Multi-beam Lasers
Surgical Management of Anatomical Variations of the Right Lobe in Living Donor Liver Transplantation
A robust pose graph approach for city scale LiDAR mapping
G2o: A general framework for graph optimization
Directed recursive labelnode hypergraphs: a new representation-language
A robust pose graph approach for city scale LiDAR mapping
a tutorial on graph - based slam .
A framework for efficient and secured mobility of IoT devices in mobile edge computing
SeqFace: Make full use of sequence information for face recognition
Face recognition in unconstrained videos with matched background similarity
Deeply learned face representations are sparse, selective, and robust
SeqFace: Make full use of sequence information for face recognition
Deep Learning Face Representation by Joint Identification-Verification
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
SeqFace: Make full use of sequence information for face recognition
Deep Learning Face Representation by Joint Identification-Verification
Evaluating Sign Language Recognition Using the Myo Armband
SeqFace: Make full use of sequence information for face recognition
Rethinking the Inception Architecture for Computer Vision
Coil design for 100 KHz and 6.78 MHz WPT system :Litz and solid wires and winding methods
Recurrent Spatial Transformer Networks
DRAW: A Recurrent Neural Network For Image Generation
On Learning Where To Look
Recurrent Spatial Transformer Networks
DRAW: A Recurrent Neural Network For Image Generation
Studying Interdependencies of E-government Challenges in Tanzania along a Pestel Analysis
Recurrent Spatial Transformer Networks
Multiple Object Recognition with Visual Attention
Ready-to-use activity recognition for smartphones
Recurrent Spatial Transformer Networks
Multiple Object Recognition with Visual Attention
Long Distance Agreement in Hindi-Urdu
TOWARD OPTIMAL FEATURE SELECTION USING RANKING METHODS AND CLASSIFICATION ALGORITHMS
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
Programs for machine learning Part I
TOWARD OPTIMAL FEATURE SELECTION USING RANKING METHODS AND CLASSIFICATION ALGORITHMS
Chi2: feature selection and discretization of numeric attributes
Modulation of dynamin-related protein 1 (DRP1) function by increased O-linked-ฮฒ-N-acetylglucosamine modification (O-GlcNAc) in cardiac myocytes.
TOWARD OPTIMAL FEATURE SELECTION USING RANKING METHODS AND CLASSIFICATION ALGORITHMS
Chi2: feature selection and discretization of numeric attributes
Can Hardware Performance Counters Produce Expected , Deterministic Results ?
TOWARD OPTIMAL FEATURE SELECTION USING RANKING METHODS AND CLASSIFICATION ALGORITHMS
Chi2: feature selection and discretization of numeric attributes
Sensation seeking in England and America: Cross-cultural, age, and sex comparisons.
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
Relations in biomedical ontologies
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
Ontologies in biology: design, applications and future challenges
Impact ionization in InAlAs/InGaAs HFET's
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
Ontologies in biology: design, applications and future challenges
Evaluating Argumentative and Narrative Essays using Graphs
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience
Relations in biomedical ontologies
A technique for conditioning and calibrating force-sensing resistors for repeatable and reliable measurement of compressive force
Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior
the ripple effect : emotional contagion and its influence on group behaviori .
A few chirps about twitter
Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior
From tweets to polls: linking text sentiment to public opinion time series
Bilateral Inguinal Hernias Containing Ovaries
Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior
Is it really about me?: message content in social awareness streams
Learning Robust, Transferable Sentence Representations for Text Classification
Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior
Is it really about me?: message content in social awareness streams
TweetCred: Real-Time Credibility Assessment of Content on Twitter
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
Pointer Networks
Adaptive subgradient methods for online learning and stochastic optimization
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
Multi-task Sequence to Sequence Learning
Learning scheduling algorithms for data processing clusters
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
The Stanford CoreNLP Natural Language Processing Toolkit
waist โ€“ hip ratio predicts women โ€™ s preferences for masculine male faces , but not perceptions of men โ€™ s trustworthiness .
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks
Automatic Labelling of Topics with Neural Embeddings
Simulation and optimization of traffic in a city
Evaluation of Neural Networks to Identify Types of Activity Using Accelerometers
Detection of daily physical activities using a triaxial accelerometer
A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity
Evaluation of Neural Networks to Identify Types of Activity Using Accelerometers
Detection of daily physical activities using a triaxial accelerometer
Multi-hop wireless network modelling using OMNET++ simulator
Evaluation of Neural Networks to Identify Types of Activity Using Accelerometers
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
Cyclopia (synophthalmia) in Smith-Lemli-Opitz syndrome: First reported case and consideration of mechanism
Evaluation of Neural Networks to Identify Types of Activity Using Accelerometers
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
Road Lane Detection Robust to Shadows Based on a Fuzzy System Using a Visible Light Camera Sensor
Frameworks for entity matching: A comparison
Training Selection for Tuning Entity Matching
TAILOR: a record linkage toolbox
Frameworks for entity matching: A comparison
Training Selection for Tuning Entity Matching
Future of Human-Building Interaction
Frameworks for entity matching: A comparison
Training Selection for Tuning Entity Matching
ES is more than just a traditional finite-difference approximator
Frameworks for entity matching: A comparison
Training Selection for Tuning Entity Matching
Proteomics Method to Identification of Protein Profiles in Exosomes.
MISE-PIPE : Magnetic induction-based wireless sensor networks for underground pipeline monitoring
Underground Wireless Communication Using Magnetic Induction
a fast elitist non - dominated sorting genetic algorithm for multi - objective optimisation : nsga - ii .
MISE-PIPE : Magnetic induction-based wireless sensor networks for underground pipeline monitoring
Underground Wireless Communication Using Magnetic Induction
Pill Identification with Imprints Using a Neural Network
MISE-PIPE : Magnetic induction-based wireless sensor networks for underground pipeline monitoring
the battle of the water sensor networks โ€ž bwsn . . . : a design challenge for engineers and algorithms .
Can visual fixation patterns improve image fidelity assessment?
MISE-PIPE : Magnetic induction-based wireless sensor networks for underground pipeline monitoring
Underground Wireless Communication Using Magnetic Induction
Quantitative Evaluation of Style Transfer
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
MapReduce: simplified data processing on large clusters
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
De novo identification of replication-timing domains in the human genome by deep learning
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud
Measurement of Angle Kappa Using Ultrasound Biomicroscopy and Corneal Topography
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case
MapReduce: simplified data processing on large clusters
VISER: Visual Self-Regularization
Unsupervised Learning of Sequence Representations by Autoencoders
LIBSVM: A library for support vector machines
Finite State Automata and Simple Recurrent Networks
Unsupervised Learning of Sequence Representations by Autoencoders
Long Short Term Memory
The Continuous Configuration Model: A Null for Community Detection on Weighted Networks.
Unsupervised Learning of Sequence Representations by Autoencoders
Sequence to Sequence Learning with Neural Networks
X-chromosome terminal deletion in a female with premature ovarian failure: Haploinsufficiency of X-linked genes as a possible explanation
Unsupervised Learning of Sequence Representations by Autoencoders
Long Short Term Memory
Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques
DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification
Prototype-Based Discriminative Feature Learning for Kinship Verification
Coding facial expressions with Gabor wavelets
DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification
labeled faces in the wild : a database forstudying face recognition in unconstrained environments .
Surgical versus conservative interventions for treating anterior cruciate ligament injuries
DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification
Prototype-Based Discriminative Feature Learning for Kinship Verification
Fast Subsequence Matching in Time-Series Databases
DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification
Prototype-Based Discriminative Feature Learning for Kinship Verification
Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game
A physically based, scalable MOS varactor model and extraction methodology for RF applications
On the Use of MOS Varactors in RF VCO's
A study of phase noise in CMOS oscillators
A physically based, scalable MOS varactor model and extraction methodology for RF applications
Noise modeling for RF CMOS circuit simulation
Beyond Keywords and Relevance: A Personalized Ad Retrieval Framework in E-Commerce Sponsored Search
A physically based, scalable MOS varactor model and extraction methodology for RF applications
Noise modeling for RF CMOS circuit simulation
A framework for merging and ranking of answers in DeepQA
A physically based, scalable MOS varactor model and extraction methodology for RF applications
Noise modeling for RF CMOS circuit simulation
Is adolescence-onset antisocial behavior developmentally normative?
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting
Dynamic Routing Between Capsules
Transforming Autoencoders
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
Contact graph routing in DTN space networks: overview, enhancements and performance
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
Explaining the enjoyment of playing video games: the role of competition
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
A Classification-Based Perspective on GAN Distributions
Deep Learning Approaches for Understanding Simple Speech Commands
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Audio-Visual Integration in Multimodal Communication
Deep Learning Approaches for Understanding Simple Speech Commands
Learning to Forget: Continual Prediction with LSTM
Sentiment analysis of twitter data using machine learning approaches and semantic analysis
Deep Learning Approaches for Understanding Simple Speech Commands
feature extraction methods lpc , plp and mfcc in speech recognition .
BRISK: Binary Robust invariant scalable keypoints
Deep Learning Approaches for Understanding Simple Speech Commands
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting
Deep Supervised and Contractive Neural Network for SAR Image Classification
LIBSVM: A library for support vector machines
A Comparison Of Algorithms For Maximum Entropy Parameter Estimation
Deep Supervised and Contractive Neural Network for SAR Image Classification
LIBSVM: A library for support vector machines
FPAP: A Folded Architecture for Energy-Quality Scalable Convolutional Neural Networks
Deep Supervised and Contractive Neural Network for SAR Image Classification
LIBSVM: A library for support vector machines
Meta-Analysis of the First Facial Expression Recognition Challenge
Deep Supervised and Contractive Neural Network for SAR Image Classification
LIBSVM: A library for support vector machines
Mixture-of-tastes Models for Representing Users with Diverse Interests

This dataset is based on the sentence-transformers/specter dataset to have a train-val-test split.

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