andersonbcdefg/st_specter_train_triples huggingface dataset:
Paper: Validating Instruments in MIS Research 1
Related paper: the effect of user involvement on system success : a contingency approach .
Unrelated paper: Newton Method for Riemannian Centroid Computation in Naturally Reductive Homogeneous Spaces
Paper: Validating Instruments in MIS Research 1
Related paper: the effect of user involvement on system success : a contingency approach .
Unrelated paper: Does our speech change when we cannot gesture
Paper: Validating Instruments in MIS Research 1
Related paper: Multivariate data analysis of NMR data.
Unrelated paper: An Efficient Statistical Method for Image Noise Level Estimation
Paper: Validating Instruments in MIS Research 1
Related paper: the effect of user involvement on system success : a contingency approach .
Unrelated paper: Development of a pinch-type servo valve embedded in a pneumatic artificial rubber muscle
Paper: Stable and Efficient Representation Learning with Nonnegativity Constraints
Related paper: Large-scale distributed non-negative sparse coding and sparse dictionary learning
Unrelated paper: Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
Paper: Stable and Efficient Representation Learning with Nonnegativity Constraints
Related paper: Large-scale distributed non-negative sparse coding and sparse dictionary learning
Unrelated paper: Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
Paper: Stable and Efficient Representation Learning with Nonnegativity Constraints
Related paper: Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
Unrelated paper: An investigation on touch biometrics: Behavioral factors on screen size, physical context and application context
Paper: Stable and Efficient Representation Learning with Nonnegativity Constraints
Related paper: Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Unrelated paper: LIFESPAN PSYCHOLOGY: Theory and Application to Intellectual Functioning
Paper: Stable and Efficient Representation Learning with Nonnegativity Constraints
Related paper: Non-negative matrix factorization with sparseness constraints
Unrelated paper: Unifying nearest neighbors collaborative filtering
Paper: Manufacturing Analytics and Industrial Internet of Things
Related paper: MapReduce: simplified data processing on large clusters
Unrelated paper: Ensemble-based classifiers
Paper: Manufacturing Analytics and Industrial Internet of Things
Related paper: Using Class Imbalance Learning for Software Defect Prediction
Unrelated paper: STATEMENT ON THE SECURITY THREAT POSED BY UNMANNED AERIAL SYSTEMS AND POSSIBLE COUNTERMEASURES
Paper: Manufacturing Analytics and Industrial Internet of Things
Related paper: Data mining in manufacturing: a review based on the kind of knowledge
Unrelated paper: Testing Incremental Difficulty Design in Platformer Games
Paper: Manufacturing Analytics and Industrial Internet of Things
Related paper: Data mining in manufacturing: a review based on the kind of knowledge
Unrelated paper: Multi-Branch Fully Convolutional Network for Face Detection
Paper: Manufacturing Analytics and Industrial Internet of Things
Related paper: Data mining in manufacturing: a review based on the kind of knowledge
Unrelated paper: Patterns of engagement in authentic online learning environments
Paper: SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Related paper: A classification framework for anomaly detection
Unrelated paper: MapReduce: simplified data processing on large clusters
Paper: SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Related paper: Topics over time: a non-Markov continuous-time model of topical trends
Unrelated paper: ERP implementation approaches: toward a contingency framework
Paper: SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Related paper: Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks
Unrelated paper: The PASCAL CHiME Speech Separation and Recognition Challenge
Paper: SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Related paper: Topics over time: a non-Markov continuous-time model of topical trends
Unrelated paper: Modeling and PD Control of a Quadrotor VTOL Vehicle
Paper: SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources.
Related paper: Detecting influenza epidemics using search engine query data
Unrelated paper: A lens-coupled 210–270 GHz circularly polarized FMCW radar transceiver module in SiGe technology
Paper: Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device
Related paper: Practical Strategies for Power-Efficient Computing Technologies
Unrelated paper: High-performance symmetric-gate and CMOS-compatible V/sub t/ asymmetric-gate FinFET devices
Paper: Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device
Related paper: Practical Strategies for Power-Efficient Computing Technologies
Unrelated paper: Nutrition in Wound Care Management: A Comprehensive Overview.
Paper: Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device
Related paper: Silicon CMOS devices beyond scaling
Unrelated paper: Mobile Edge Cloud System: Architectures, Challenges, and Approaches
Paper: Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device
Related paper: I-MOS: a novel semiconductor device with a subthreshold slope lower than kT/q
Unrelated paper: a religious worldview : protecting one ' s meaning system through religious prejudice .
Paper: Steep Slope Field-Effect Transistors With Ag/TiO2-Based Threshold Switching Device
Related paper: I-MOS: a novel semiconductor device with a subthreshold slope lower than kT/q
Unrelated paper: Requirements prioritization techniques and different aspects for prioritization a systematic literature review protocol
Paper: Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
Related paper: Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting
Unrelated paper: Isoperimetric graph partitioning for image segmentation
Paper: Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
Related paper: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
Unrelated paper: Schedulability analysis of periodic fixed priority systems
Paper: Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
Related paper: Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting
Unrelated paper: Confabulation and delusion: a common monitoring framework.
Paper: Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
Related paper: A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
Unrelated paper: Media Effects: Theory and Research
Paper: Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
Related paper: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
Unrelated paper: EM*: An EM Algorithm for Big Data
Paper: An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
Related paper: Efficient Graph-Based Image Segmentation
Unrelated paper: Mean shift: A robust approach toward feature space analysis
Paper: An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
Related paper: Efficient Graph-Based Image Segmentation
Unrelated paper: The Diversity and Anti-Microbial Activity of Endophytic Actinomycetes Isolated from Medicinal Plants in Panxi Plateau, China
Paper: An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
Related paper: Efficient Graph-Based Image Segmentation
Unrelated paper: Multi sensor fusion of camera and 3D laser range finder for object recognition
Paper: An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
Related paper: Color Image Segmentation Using a Spatial K-Means Clustering Algorithm
Unrelated paper: Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy
Paper: An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm
Related paper: Color Image Segmentation Using a Spatial K-Means Clustering Algorithm
Unrelated paper: Feature Selection Based on the Shapley Value
Paper: Pre-service Teachers’ Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions Towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics
Related paper: Perceived usefulness, perceived ease of use, and user acceptance of information technology
Unrelated paper: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology
Paper: Pre-service Teachers’ Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions Towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics
Related paper: Toward preprototype user acceptance testing of new information systems: implications for software project management
Unrelated paper: Intelligent logistics: Involving the customer
Paper: Pre-service Teachers’ Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions Towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics
Related paper: Perceived usefulness, perceived ease of use, and user acceptance of information technology
Unrelated paper: Homologous expression and biochemical characterization of the arylsulfatase from Kluyveromyces lactis and its relevance in milk processing
Paper: Pre-service Teachers’ Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions Towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics
Related paper: Perceived usefulness, perceived ease of use, and user acceptance of information technology
Unrelated paper: A review of Mobile Commerce consumers' behaviour research: consumer acceptance, loyalty and continuance (2000-2009)
Paper: Pre-service Teachers’ Perceived Ease of Use, Perceived Usefulness, Attitude and Intentions Towards Virtual Laboratory Package Utilization in Teaching and Learning of Physics
Related paper: Perceived usefulness, perceived ease of use, and user acceptance of information technology
Unrelated paper: Design and test on chip for EMC
Paper: Informative art: information visualization in everyday environments
Related paper: Aesthetic information collages: generating decorative displays that contain information
Unrelated paper: The notification collage: posting information to public and personal displays
Paper: Informative art: information visualization in everyday environments
Related paper: Informative art: using amplified artworks as information displays
Unrelated paper: Impact of weight loss on plasminogen activator inhibitor (PAI-1), factor VII, and other hemostatic factors in moderately overweight adults
Paper: Informative art: information visualization in everyday environments
Related paper: Tangible bits: towards seamless interfaces between people, bits and atoms
Unrelated paper: Design of a Low-Voltage CMOS Charge Pump
Paper: Informative art: information visualization in everyday environments
Related paper: Informative art: using amplified artworks as information displays
Unrelated paper: Overcoming catastrophic forgetting in neural networks
Paper: Informative art: information visualization in everyday environments
Related paper: Aesthetic information collages: generating decorative displays that contain information
Unrelated paper: Automatic Network Protocol Analysis
Paper: Gender and ethnicity classification using deep learning in heterogeneous face recognition
Related paper: MatConvNet: Convolutional Neural Networks for MATLAB
Unrelated paper: Very Deep Convolutional Networks for Large-Scale Image Recognition
Paper: Gender and ethnicity classification using deep learning in heterogeneous face recognition
Related paper: Automatic facial attribute analysis via adaptive sparse representation of random patches
Unrelated paper: Exploiting rhizosphere microbial cooperation for developing sustainable agriculture strategies
Paper: Gender and ethnicity classification using deep learning in heterogeneous face recognition
Related paper: Age and gender classification using convolutional neural networks
Unrelated paper: Chip and Skim: Cloning EMV Cards with the Pre-play Attack
Paper: Gender and ethnicity classification using deep learning in heterogeneous face recognition
Related paper: Age and gender classification using convolutional neural networks
Unrelated paper: Power Amplifiers 15.1 Introduction-definitons and Amplifier Types
Paper: Gender and ethnicity classification using deep learning in heterogeneous face recognition
Related paper: Automatic facial attribute analysis via adaptive sparse representation of random patches
Unrelated paper: Ontological Semantics for Data Privacy Compliance: The NEURONA Project
Paper: Multi-scale object candidates for generic object tracking in street scenes
Related paper: How good are detection proposals, really?
Unrelated paper: FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem
Paper: Multi-scale object candidates for generic object tracking in street scenes
Related paper: Stereo-Camera-Based Urban Environment Perception Using Occupancy Grid and Object Tracking
Unrelated paper: The gut microbiota shapes intestinal immune responses during health and disease
Paper: Multi-scale object candidates for generic object tracking in street scenes
Related paper: Vision-Based Offline-Online Perception Paradigm for Autonomous Driving
Unrelated paper: Occurrence, fate, and ecotoxicity of antibiotics in agro-ecosystems. A review
Paper: Multi-scale object candidates for generic object tracking in street scenes
Related paper: StereoScan: Dense 3d reconstruction in real-time
Unrelated paper: Remote patient monitoring for improving outpatient care of patients at risk for sepsis
Paper: Multi-scale object candidates for generic object tracking in street scenes
Related paper: Random forests
Unrelated paper: Harmonic estimation using Modified ADALINE algorithm with Time-Variant Widrow — Hoff (TVWH) learning rule
Paper: A Behavior-Authoring Framework for Multiactor Simulations
Related paper: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Unrelated paper: Multi-level direction of autonomous creatures for real-time virtual environments
Paper: A Behavior-Authoring Framework for Multiactor Simulations
Related paper: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Unrelated paper: Efficient Machine Learning Techniques for Stock Market Prediction
Paper: A Behavior-Authoring Framework for Multiactor Simulations
Related paper: Cognitive modeling: knowledge, reasoning and planning for intelligent characters
Unrelated paper: Theme Based Clustering of Tweets
Paper: A Behavior-Authoring Framework for Multiactor Simulations
Related paper: Cognitive modeling: knowledge, reasoning and planning for intelligent characters
Unrelated paper: Urban Sensing Using Mobile Phone Network Data: A Survey of Research
Paper: A Behavior-Authoring Framework for Multiactor Simulations
Related paper: Improv: a system for scripting interactive actors in virtual worlds
Unrelated paper: Process for overcoming drug retention in hard gelatin inhalation capsules.
Paper: Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
Related paper: Thumbs Up? Sentiment Classification Using Machine Learning Techniques
Unrelated paper: What were the Tweets about? Topical Associations between Public Events and Twitter Feeds
Paper: Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
Related paper: Thumbs Up? Sentiment Classification Using Machine Learning Techniques
Unrelated paper: Outliers classification for mining evolutionary community using Support Vector Machine and Logistic Regression on Azure ML
Paper: Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
Related paper: A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based On Minimum Cuts
Unrelated paper: fast and robust text detection in images and video frames .
Paper: Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
Related paper: Microblogging during two natural hazards events: what twitter may contribute to situational awareness
Unrelated paper: Anomaly Detection in Industrial Software Systems - Using Variational Autoencoders
Paper: Listening to the Crowd: Automated Analysis of Events via Aggregated Twitter Sentiment
Related paper: Thumbs Up? Sentiment Classification Using Machine Learning Techniques
Unrelated paper: Distance Metric Learning for Large Margin Nearest Neighbor Classification
Paper: A design model of emotional body expressions in non-humanoid robots
Related paper: AffectButton: a method for reliable and valid affective self-report
Unrelated paper: 3d corpus of spontaneous complex mental states .
Paper: A design model of emotional body expressions in non-humanoid robots
Related paper: Body Cues, Not Facial Expressions, Discriminate Between Intense Positive and Negative Emotions
Unrelated paper: Plasticizer effect on the properties of biodegradable blend film from rice starch-chitosan
Paper: A design model of emotional body expressions in non-humanoid robots
Related paper: AffectButton: a method for reliable and valid affective self-report
Unrelated paper: Readiness for Discharge in Parents of Hospitalized Children
Paper: A design model of emotional body expressions in non-humanoid robots
Related paper: Mapping discrete and dimensional emotions onto the brain: controversies and consensus
Unrelated paper: Improving Nepali News Recommendation Using Classification Based on LSTM Recurrent Neural Networks
Paper: A design model of emotional body expressions in non-humanoid robots
Related paper: Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation
Unrelated paper: Sharing perspectives in distributed decision making
Paper: Addressing DODAG inconsistency attacks in RPL networks
Related paper: Specification-based IDS for securing RPL from topology attacks
Unrelated paper: transmission of ipv6 packets over ieee 802 . 15 . 4 networks .
Paper: Addressing DODAG inconsistency attacks in RPL networks
Related paper: Specification-based IDS for securing RPL from topology attacks
Unrelated paper: extracting hand grasp and motion for intent expression in mid - air shape deformation : a concrete and iterative exploration through a virtual pottery application .
Paper: Addressing DODAG inconsistency attacks in RPL networks
Related paper: Management of resource constrained devices in the internet of things
Unrelated paper: A Cost-Effectiveness Analysis of Blended Versus Face-to-Face Delivery of Evidence-Based Medicine to Medical Students
Paper: Addressing DODAG inconsistency attacks in RPL networks
Related paper: Management of resource constrained devices in the internet of things
Unrelated paper: internet of things meets brain - computer interface : a unified deep learning framework for enabling human - thing cognitive interactivity .
Paper: Addressing DODAG inconsistency attacks in RPL networks
Related paper: Specification-based IDS for securing RPL from topology attacks
Unrelated paper: Resilience in the Offspring of Depressed Mothers: Variation Across Risk, Domains, and Time
Paper: creating a natural logic inference system with combinatory categorial grammar .
Related paper: introduction to the special issue on word sense disambiguation : the state of the art .
Unrelated paper: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Paper: creating a natural logic inference system with combinatory categorial grammar .
Related paper: Head-Driven Statistical Models for Natural Language Parsing
Unrelated paper: The operational matrix of fractional derivative of the fractional-order Chebyshev functions and its applications
Paper: creating a natural logic inference system with combinatory categorial grammar .
Related paper: introduction to the special issue on word sense disambiguation : the state of the art .
Unrelated paper: immunogenicity of phleum pratense depigmented allergoid vaccines : experimental study in rabbits .
Paper: creating a natural logic inference system with combinatory categorial grammar .
Related paper: Head-Driven Statistical Models for Natural Language Parsing
Unrelated paper: 6-DOF Monocular Relocalization with Convolutional Neural Networks
Paper: creating a natural logic inference system with combinatory categorial grammar .
Related paper: Head-Driven Statistical Models for Natural Language Parsing
Unrelated paper: a cmos baseline holder ( blh ) for readout asics 1 .
Paper: An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Related paper: Parkinson's disease: clinical features and diagnosis
Unrelated paper: Classification ability of single hidden layer feedforward neural networks
Paper: An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Related paper: Extreme learning machine: a new learning scheme of feedforward neural networks
Unrelated paper: Patterns of Sexual Arousal in Homosexual , Bisexual , and Heterosexual Men
Paper: An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Related paper: Extreme learning machine: a new learning scheme of feedforward neural networks
Unrelated paper: The spread of low-credibility content by social bots
Paper: An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Related paper: Parkinson's disease: clinical features and diagnosis
Unrelated paper: Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
Paper: An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease
Related paper: Extreme learning machine: a new learning scheme of feedforward neural networks
Unrelated paper: Performance anomaly of 802.11b
Paper: WiFi and LTE Coexistence in the Unlicensed Spectrum
Related paper: Experimental Study of Coexistence Issues Between IEEE 802.11b and IEEE 802.15.4 Wireless Networks
Unrelated paper: Surviving wi-fi interference in low power ZigBee networks
Paper: WiFi and LTE Coexistence in the Unlicensed Spectrum
Related paper: Experimental Study of Coexistence Issues Between IEEE 802.11b and IEEE 802.15.4 Wireless Networks
Unrelated paper: Integrated control of date palm pests in Israel
Paper: WiFi and LTE Coexistence in the Unlicensed Spectrum
Related paper: LTE in unlicensed spectrum: are we there yet?
Unrelated paper: Ray Casting of Trimmed NURBS Surfaces on the GPU
Paper: WiFi and LTE Coexistence in the Unlicensed Spectrum
Related paper: Experimental Study of Coexistence Issues Between IEEE 802.11b and IEEE 802.15.4 Wireless Networks
Unrelated paper: Polyunsaturated fatty acids, inflammation and immunity
Paper: WiFi and LTE Coexistence in the Unlicensed Spectrum
Related paper: LTE in unlicensed spectrum: are we there yet?
Unrelated paper: Differentially- and non-differentially-private random decision trees
Paper: Autonomous Grocery Delivery Service in Urban Areas
Related paper: ROS: an open-source Robot Operating System
Unrelated paper: Development environments for autonomous mobile robots: A survey
Paper: Autonomous Grocery Delivery Service in Urban Areas
Related paper: ROS: an open-source Robot Operating System
Unrelated paper: 3 C-GAN : A N CONDITION-CONTEXT-COMPOSITE GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING IMAGES SEPARATELY