andersonbcdefg/st_specter_train_triples huggingface dataset:
Paper: The business case for corporate social responsibility: A company-level measurement approach for CSR
Related paper: The Business Case for Corporate Sustainability: Literature Review and Research Options
Unrelated paper: Application of Magnesium Modified Corn Biochar for Phosphorus Removal and Recovery from Swine Wastewater
Paper: The business case for corporate social responsibility: A company-level measurement approach for CSR
Related paper: transforming the balanced scorecard from performance measurement to strategic management : part i .
Unrelated paper: Vehicle detection based on LiDAR and camera fusion
Paper: Personalised Information Retrieval: survey and classification
Related paper: Implicit user modeling for personalized search
Unrelated paper: WebMate: a personal agent for browsing and searching
Paper: Personalised Information Retrieval: survey and classification
Related paper: Implicit user modeling for personalized search
Unrelated paper: Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method
Paper: Personalised Information Retrieval: survey and classification
Related paper: Personalized Web search for improving retrieval effectiveness
Unrelated paper: Psychopathy and criminal behaviour: a psychosocial research perspective
Paper: Personalised Information Retrieval: survey and classification
Related paper: Personalized Web search for improving retrieval effectiveness
Unrelated paper: Detecting Story Analogies from Annotations of Time, Action and Agency
Paper: Personalised Information Retrieval: survey and classification
Related paper: Selecting good expansion terms for pseudo-relevance feedback
Unrelated paper: Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
Paper: Reconstruction of Subtle Emotional Expressions in Android Motions ∗
Related paper: Visual perception of biological motion and a model for its analysis
Unrelated paper: eye gaze patterns in conversations : there is more the conversational agents than meets the eyes .
Paper: Reconstruction of Subtle Emotional Expressions in Android Motions ∗
Related paper: Live Speech Driven Head-and-Eye Motion Generators
Unrelated paper: Learning a Family of Detectors via Multiplicative Kernels
Paper: Reconstruction of Subtle Emotional Expressions in Android Motions ∗
Related paper: Visual perception of biological motion and a model for its analysis
Unrelated paper: Effects of physical activity on children's executive function: Contributions of experimental research on aerobic exercise
Paper: Reconstruction of Subtle Emotional Expressions in Android Motions ∗
Related paper: Visual perception of biological motion and a model for its analysis
Unrelated paper: The direct/indirect composite resin veneers: a case report.
Paper: Reconstruction of Subtle Emotional Expressions in Android Motions ∗
Related paper: Live Speech Driven Head-and-Eye Motion Generators
Unrelated paper: A Robot Learning to Play a Mobile Game Under Unknown Dynamics
Paper: Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Related paper: The Pyramid Method: Incorporating human content selection variation in summarization evaluation
Unrelated paper: Evaluating Content Selection In Summarization: The Pyramid Method
Paper: Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Related paper: MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Unrelated paper: Realizing Event-Driven SOA
Paper: Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Related paper: The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Unrelated paper: Commercially Available Mobile Phone Headache Diary Apps: A Systematic Review
Paper: Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Related paper: The Pyramid Method: Incorporating human content selection variation in summarization evaluation
Unrelated paper: Integrating Loran and GNSS for Safety of Life Applications
Paper: Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
Related paper: MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
Unrelated paper: A review on robotic fish enabled by ionic polymer–metal composite artificial muscles
Paper: Multi-scale Fully Convolutional Network for Face Detection in the Wild
Related paper: A convolutional neural network cascade for face detection
Unrelated paper: You Only Look Once: Unified, Real-Time Object Detection
Paper: Multi-scale Fully Convolutional Network for Face Detection in the Wild
Related paper: CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Unrelated paper: Cell Mediated Photothermal Therapy of Brain Tumors
Paper: Multi-scale Fully Convolutional Network for Face Detection in the Wild
Related paper: CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Unrelated paper: Design of a low-cost, underwater acoustic modem for short-range sensor networks
Paper: Multi-scale Fully Convolutional Network for Face Detection in the Wild
Related paper: A convolutional neural network cascade for face detection
Unrelated paper: Query-focused Multi-Document Summarization: Combining a Topic Model with Graph-based Semi-supervised Learning
Paper: Multi-scale Fully Convolutional Network for Face Detection in the Wild
Related paper: Learning Deep Features for Scene Recognition using Places Database
Unrelated paper: Impala: A Modern, Open-Source SQL Engine for Hadoop
Paper: Topic discovery and future trend forecasting for texts
Related paper: NLTK: The Natural Language Toolkit
Unrelated paper: Building and using a semantivisual image hierarchy
Paper: Topic discovery and future trend forecasting for texts
Related paper: NLTK: The Natural Language Toolkit
Unrelated paper: The Identification of Noteworthy Hotel Reviews for Hotel Management
Paper: Topic discovery and future trend forecasting for texts
Related paper: Visualizing association rules for text mining
Unrelated paper: An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts
Paper: Topic discovery and future trend forecasting for texts
Related paper: NLTK: The Natural Language Toolkit
Unrelated paper: Aalborg Universitet Development and functional demonstration of a wireless intraoral inductive tongue computer interface for severely disabled persons Struijk
Paper: Topic discovery and future trend forecasting for texts
Related paper: Visualizing association rules for text mining
Unrelated paper: On the role of design in information visualization
Paper: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
Related paper: Stochastic Neighbor Embedding
Unrelated paper: nonlinear dimensionality reduction by locally linear embedding .
Paper: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
Related paper: Stochastic Neighbor Embedding
Unrelated paper: Designing games to motivate physical activity
Paper: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
Related paper: Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
Unrelated paper: Expected similarity estimation for large-scale batch and streaming anomaly detection
Paper: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
Related paper: Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
Unrelated paper: RCFA For Recurring Impeller Failures In A 4.7 Mtpa LNG Train Propane Compressor
Paper: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
Related paper: Stochastic Neighbor Embedding
Unrelated paper: Personality and parenting style in parents of adolescents
Paper: Building an Adaptive Operating System for Predictability and Efficiency
Related paper: Redline: First Class Support for Interactivity in Commodity Operating Systems
Unrelated paper: seL4: formal verification of an OS kernel
Paper: Building an Adaptive Operating System for Predictability and Efficiency
Related paper: The multikernel: a new OS architecture for scalable multicore systems
Unrelated paper: a new generalization of fibonacci sequence and extended binet ’ s formula .
Paper: Building an Adaptive Operating System for Predictability and Efficiency
Related paper: Redline: First Class Support for Interactivity in Commodity Operating Systems
Unrelated paper: Data integration flows for business intelligence
Paper: Building an Adaptive Operating System for Predictability and Efficiency
Related paper: The multikernel: a new OS architecture for scalable multicore systems
Unrelated paper: The Lactobacillus plantarum ftsH Gene Is a Novel Member of the CtsR Stress Response Regulon
Paper: Building an Adaptive Operating System for Predictability and Efficiency
Related paper: Redline: First Class Support for Interactivity in Commodity Operating Systems
Unrelated paper: Modulation Scheme for Improved Operation of an RB-IGBT-Based Resonant Inverter Applied to Domestic Induction Heating
Paper: Empirical evaluation of distributed pair programming
Related paper: Exploring the Efficacy of Distributed Pair Programming
Unrelated paper: Extreme Programming Explained: Embrace Change
Paper: Empirical evaluation of distributed pair programming
Related paper: Exploring the Efficacy of Distributed Pair Programming
Unrelated paper: Representing Scientific Knowledge
Paper: Empirical evaluation of distributed pair programming
Related paper: Exploring the Efficacy of Distributed Pair Programming
Unrelated paper: LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Paper: Empirical evaluation of distributed pair programming
Related paper: Exploring the Efficacy of Distributed Pair Programming
Unrelated paper: Heat Shock Proteins and Autophagy Pathways in Neuroprotection: From Molecular Bases to Pharmacological Interventions
Paper: Empirical evaluation of distributed pair programming
Related paper: Exploring the Efficacy of Distributed Pair Programming
Unrelated paper: Neighbor-Aware Search for Approximate Labeled Graph Matching using the Chi-Square Statistics
Paper: Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
Related paper: A Closer Look at Memorization in Deep Networks
Unrelated paper: The Nature of Statistical Learning Theory
Paper: Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
Related paper: Partial Differential Equations
Unrelated paper: Prediction of Mode of Death in Heart Failure: The Seattle Heart Failure Model
Paper: Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
Related paper: On the Spectral Bias of Deep Neural Networks.
Unrelated paper: Quantifying training intensity distribution in elite endurance athletes: is there evidence for an "optimal" distribution?
Paper: Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
Related paper: Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Unrelated paper: Erratum to: Detection of Differentially Expressed microRNAs in Serum of Pancreatic Ductal Adenocarcinoma Patients: miR-196a Could Be a Potential Marker for Poor Prognosis
Paper: Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application
Related paper: Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Unrelated paper: Music summarization using key phrases
Paper: The Impact of Task-based Approach on Vocabulary Learning in ESP Courses
Related paper: Task-based instruction
Unrelated paper: Input, Interaction, and Second Language Development: An Empirical Study of Question Formation in ESL.
Paper: The Impact of Task-based Approach on Vocabulary Learning in ESP Courses
Related paper: Task-based Language Teaching
Unrelated paper: Motivation for Behaviour-Based DNS Security: A Taxonomy of DNS-Related Internet Threats
Paper: The Impact of Task-based Approach on Vocabulary Learning in ESP Courses
Related paper: Task-based instruction
Unrelated paper: Clock-Frequency Assignment for Multiple Clock Domain Systems-on-a-Chip
Paper: The Impact of Task-based Approach on Vocabulary Learning in ESP Courses
Related paper: Task-based instruction
Unrelated paper: Graph Connectivity
Paper: The Impact of Task-based Approach on Vocabulary Learning in ESP Courses
Related paper: Task-based Language Teaching
Unrelated paper: Automated Game Testing with ICARUS: Intelligent Completion of Adventure Riddles via Unsupervised Solving
Paper: Automatic code generation of convolutional neural networks in FPGA implementation
Related paper: Going deeper with convolutions
Unrelated paper: Acceleration of Stochastic Approximation by Averaging
Paper: Automatic code generation of convolutional neural networks in FPGA implementation
Related paper: A unified architecture for natural language processing: deep neural networks with multitask learning
Unrelated paper: Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Paper: Automatic code generation of convolutional neural networks in FPGA implementation
Related paper: Recurrent convolutional neural networks for text classification
Unrelated paper: The suspensory ligament of the penis: an anatomic and radiologic description
Paper: Automatic code generation of convolutional neural networks in FPGA implementation
Related paper: Going deeper with convolutions
Unrelated paper: Question Answering on Freebase via Relation Extraction and Textual Evidence
Paper: Automatic code generation of convolutional neural networks in FPGA implementation
Related paper: Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Unrelated paper: Robust reconstruction of indoor scenes
Paper: HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Related paper: A Survey of Outlier Detection Methodologies
Unrelated paper: Enhancing SOM based data visualization
Paper: HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Related paper: A Survey of Outlier Detection Methodologies
Unrelated paper: Content Centric Networking in tactical and emergency MANETs
Paper: HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Related paper: A Survey of Outlier Detection Methodologies
Unrelated paper: Synthesis of Forgiving Data Extractors
Paper: HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Related paper: A Survey of Outlier Detection Methodologies
Unrelated paper: Inflammation and Alzheimer’s disease
Paper: HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Related paper: A Survey of Outlier Detection Methodologies
Unrelated paper: Breaking News Detection and Tracking in Twitter
Paper: Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Related paper: Learning Bayesian networks: The combination of knowledge and statistical data
Unrelated paper: Learning belief networks from data: an information theory based approach
Paper: Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Related paper: Learning Bayesian Belief Network Classifiers: Algorithms and System
Unrelated paper: numpywren: serverless linear algebra
Paper: Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Related paper: Learning Bayesian networks: The combination of knowledge and statistical data
Unrelated paper: Chapter 2 Rigid Body Registration
Paper: Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Related paper: Learning Bayesian Belief Network Classifiers: Algorithms and System
Unrelated paper: Recombinant human erythropoietin in transfusion-dependent anemic patients with multiple myeloma and non-Hodgkin's lymphoma : A randomized multicenter study
Paper: Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Related paper: Learning Bayesian Belief Network Classifiers: Algorithms and System
Unrelated paper: The brain in infantile autism Posterior fossa structures are abnormal
Paper: Feature hashing for large scale multitask learning
Related paper: Random features for large-scale kernel machines
Unrelated paper: Evaluating collaborative filtering recommender systems
Paper: Feature hashing for large scale multitask learning
Related paper: Database-friendly random projections : Johnson-Lindenstrauss with binary coins
Unrelated paper: Twenty-Five Years of Groupthink Theory and Research: Lessons from the Evaluation of a Theory
Paper: Feature hashing for large scale multitask learning
Related paper: The Netflix Prize
Unrelated paper: Income Inequality, Social Cohesion, and Class Relations: A Critique of Wilkinson's Neo-Durkheimian Research Program
Paper: Feature hashing for large scale multitask learning
Related paper: Similarity Search in High Dimensions via Hashing
Unrelated paper: The Neural Basis of Human Dance
Paper: Feature hashing for large scale multitask learning
Related paper: Database-friendly random projections : Johnson-Lindenstrauss with binary coins
Unrelated paper: Ground Penetrating Radar Fundamentals
Paper: Designing structurally-sound ornamental curve networks
Related paper: Computer Generated Celtic Design
Unrelated paper: Spec2Fab: a reducer-tuner model for translating specifications to 3D prints
Paper: Designing structurally-sound ornamental curve networks
Related paper: Computer Generated Celtic Design
Unrelated paper: The Application of Petri Nets to Workflow Management
Paper: Designing structurally-sound ornamental curve networks
Related paper: Design and fabrication of flexible rod meshes
Unrelated paper: LoRa Backscatter : Enabling The Vision of Ubiquitous Connectivity
Paper: Designing structurally-sound ornamental curve networks
Related paper: Design and fabrication of flexible rod meshes
Unrelated paper: Silver Lining: Enforcing Secure Information Flow at the Cloud Edge
Paper: Designing structurally-sound ornamental curve networks
Related paper: Computer Generated Celtic Design
Unrelated paper: Physiological response to the ambulatory performance of hand-rim and arm-crank propulsion systems.
Paper: Introduction to side-channel attacks and fault attacks
Related paper: An AES Smart Card Implementation Resistant to Power Analysis Attacks
Unrelated paper: Linear cryptanalysis method for DES cipher
Paper: Introduction to side-channel attacks and fault attacks
Related paper: Correlation Power analysis with a leakage model
Unrelated paper: Attacks by packs of dogs involving predation on human beings.
Paper: Introduction to side-channel attacks and fault attacks
Related paper: An AES Smart Card Implementation Resistant to Power Analysis Attacks
Unrelated paper: Detection of opinion spam based on anomalous rating deviation
Paper: Introduction to side-channel attacks and fault attacks
Related paper: Investigations of power analysis attacks on smartcards
Unrelated paper: weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming
Paper: Introduction to side-channel attacks and fault attacks
Related paper: An AES Smart Card Implementation Resistant to Power Analysis Attacks
Unrelated paper: forecasting methods applied to engineering management .
Paper: From Pixels to Torques: Policy Learning with Deep Dynamical Models
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Learning internal representations by error propagation
Paper: From Pixels to Torques: Policy Learning with Deep Dynamical Models
Related paper: Probabilistic Differential Dynamic Programming
Unrelated paper: Shard ranking and cutoff estimation for topically partitioned collections
Paper: From Pixels to Torques: Policy Learning with Deep Dynamical Models
Related paper: Human-level control through deep reinforcement learning
Unrelated paper: Security review on the Internet of Things
Paper: From Pixels to Torques: Policy Learning with Deep Dynamical Models
Related paper: Auto-association by multilayer perceptrons and singular value decomposition
Unrelated paper: Cradle-to-Gate Emissions from a Commercial Electric Vehicle Li-Ion Battery: A Comparative Analysis
Paper: From Pixels to Torques: Policy Learning with Deep Dynamical Models
Related paper: Probabilistic Differential Dynamic Programming
Unrelated paper: recent methods and databases in vision - based hand gesture recognition : a review .
Paper: Investigation on the Impact of Organizational Culture on Organization Innovation
Related paper: Knowledge management and organizational culture: a theoretical integrative framework
Unrelated paper: Managing to be ethical: debunking five business ethics myths
Paper: Investigation on the Impact of Organizational Culture on Organization Innovation
Related paper: knowledge management : an organizational capabilities perspective .
Unrelated paper: Tangent Prop - A formalism for specifying selected invariances in an adaptive network
Paper: Investigation on the Impact of Organizational Culture on Organization Innovation
Related paper: diagnosing and changing organizational culture based on the competing values framework diagnosing .
Unrelated paper: The Case of the Poisoned Event Handler: Weaknesses in the Node.js Event-Driven Architecture
Paper: Investigation on the Impact of Organizational Culture on Organization Innovation
Related paper: Organizational learning culture, innovative culture and innovations in South Korean firms
Unrelated paper: Data, information, knowledge and principle: back to metabolism in KEGG
Paper: Investigation on the Impact of Organizational Culture on Organization Innovation
Related paper: Organizational learning culture, innovative culture and innovations in South Korean firms
Unrelated paper: Real-time gradient-domain painting
Paper: SERIMI - Resource Description Similarity, RDF Instance Matching and Interlinking
Related paper: Linked Data -- The story so far
Unrelated paper: From databases to dataspaces: a new abstraction for information management
Paper: SERIMI - Resource Description Similarity, RDF Instance Matching and Interlinking
Related paper: Linked Data -- The story so far
Unrelated paper: A new ART-counterpropagation neural network for solving a forecasting problem
Paper: SERIMI - Resource Description Similarity, RDF Instance Matching and Interlinking
Related paper: Linked Data -- The story so far
Unrelated paper: The shape of the anterior and posterior surface of the aging human cornea
Paper: SERIMI - Resource Description Similarity, RDF Instance Matching and Interlinking
Related paper: Linked Data -- The story so far
Unrelated paper: Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Paper: SERIMI - Resource Description Similarity, RDF Instance Matching and Interlinking
Related paper: Linked Data -- The story so far
Unrelated paper: compulsive use of smartphone and technostress : a study among indian students .
Paper: A new PSO-based approach to fire flame detection using K-Medoids clustering
Related paper: An early fire-detection method based on image processing
Unrelated paper: particle systems - a technique for modeling a class of fuzzy objects .
Paper: A new PSO-based approach to fire flame detection using K-Medoids clustering
Related paper: A new optimizer using particle swarm theory
Unrelated paper: Adoption and future perspective of precision farming in Germany: results of several surveys among different agricultural target groups