andersonbcdefg/st_specter_train_triples huggingface dataset:
Paper: Learning 6D Object Pose Estimation Using 3D Object Coordinates
Related paper: Model globally, match locally: Efficient and robust 3D object recognition
Unrelated paper: Speed Control of DC Motor Using Fuzzy Logic Application
Paper: Learning 6D Object Pose Estimation Using 3D Object Coordinates
Related paper: Model globally, match locally: Efficient and robust 3D object recognition
Unrelated paper: Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques
Paper: Learning 6D Object Pose Estimation Using 3D Object Coordinates
Related paper: Object retrieval with large vocabularies and fast spatial matching
Unrelated paper: Semantic B2B integration
Paper: vital , sophia , and co . - the quest for the legal personhood of robots .
Related paper: From Automation to Autonomous Systems: A Legal Phenomenology with Problems of Accountability
Unrelated paper: Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach
Paper: vital , sophia , and co . - the quest for the legal personhood of robots .
Related paper: Of, for, and by the people: the legal lacuna of synthetic persons
Unrelated paper: plant disease detection using image processing techniques .
Paper: vital , sophia , and co . - the quest for the legal personhood of robots .
Related paper: From Automation to Autonomous Systems: A Legal Phenomenology with Problems of Accountability
Unrelated paper: 1d - local binary pattern based feature extraction for classification of epileptic eeg signals .
Paper: vital , sophia , and co . - the quest for the legal personhood of robots .
Related paper: Of, for, and by the people: the legal lacuna of synthetic persons
Unrelated paper: New Hybrid Approach to Solve the 0 / 1 , Bounded Knapsack Problem
Paper: vital , sophia , and co . - the quest for the legal personhood of robots .
Related paper: Of, for, and by the people: the legal lacuna of synthetic persons
Unrelated paper: software tools for the visualization of definition networks in legal contracts .
Paper: A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation
Related paper: A noise-estimation algorithm for highly non-stationary environments
Unrelated paper: Fast Exact Multiplication by the Hessian
Paper: A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation
Related paper: Advanced Beamformers for Cochlear Implant Users: Acute Measurement of Speech Perception in Challenging Listening Conditions
Unrelated paper: Kaposi sarcoma in a psoriasis patient.
Paper: A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation
Related paper: Speech enhancement based on deep denoising autoencoder.
Unrelated paper: Life cycle and population growth rate of Caenorhabditis elegans studied by a new method
Paper: A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation
Related paper: Noise power spectral density estimation based on optimal smoothing and minimum statistics
Unrelated paper: Mining public transport user behaviour from smart card data
Paper: A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation
Related paper: Noise power spectral density estimation based on optimal smoothing and minimum statistics
Unrelated paper: Neuropsychological impairments in unipolar depression: the influence of perceived failure on subsequent performance.
Paper: System log pre-processing to improve failure prediction
Related paper: A log mining approach to failure analysis of enterprise telephony systems
Unrelated paper: Analysis and implementation of software rejuvenation in cluster systems
Paper: System log pre-processing to improve failure prediction
Related paper: A log mining approach to failure analysis of enterprise telephony systems
Unrelated paper: finding time quantum of round robin cpu scheduling algorithm in general computing systems using integer programming .
Paper: System log pre-processing to improve failure prediction
Related paper: Error Log Processing for Accurate Failure Prediction
Unrelated paper: Automatic Identification Of Pro And Con Reasons In Online Reviews
Paper: System log pre-processing to improve failure prediction
Related paper: critical event prediction for proactive management in large - scale computer clusters .
Unrelated paper: The Utility of Text: The Case of Amicus Briefs and the Supreme Court
Paper: System log pre-processing to improve failure prediction
Related paper: AnAdaptive Semantic Filter forBlueGene/LFailure LogAnalysis
Unrelated paper: Improved MPPT Algorithms for Rapidly Changing Environmental Conditions
Paper: Solid-Duty-Control Technique for Alleviating the Right-Half-Plane Zero Effect in Continuous Conduction Mode Boost Converters
Related paper: Bidirectional current-mode capacitor multiplier in DC-DC converter compensation
Unrelated paper: A 233-MHz 80%-87% efficient four-phase DC-DC converter utilizing air-core inductors on package
Paper: Solid-Duty-Control Technique for Alleviating the Right-Half-Plane Zero Effect in Continuous Conduction Mode Boost Converters
Related paper: Bidirectional current-mode capacitor multiplier in DC-DC converter compensation
Unrelated paper: A Data Augmentation Methodology to Improve Age Estimation Using Convolutional Neural Networks
Paper: Solid-Duty-Control Technique for Alleviating the Right-Half-Plane Zero Effect in Continuous Conduction Mode Boost Converters
Related paper: A new continuous-time model for current-mode control with constant frequency, constant on-time, and constant off-time, in CCM and DCM
Unrelated paper: Three-phase Controlled Rectifiers
Paper: Solid-Duty-Control Technique for Alleviating the Right-Half-Plane Zero Effect in Continuous Conduction Mode Boost Converters
Related paper: Bidirectional current-mode capacitor multiplier in DC-DC converter compensation
Unrelated paper: management of scientific images : an approach to the extraction , annotation and retrieval of figures in the field of high energy physics .
Paper: Solid-Duty-Control Technique for Alleviating the Right-Half-Plane Zero Effect in Continuous Conduction Mode Boost Converters
Related paper: A new continuous-time model for current-mode control with constant frequency, constant on-time, and constant off-time, in CCM and DCM
Unrelated paper: Arithmetic of Elliptic Curves and Diophantine Equations
Paper: Multi-faceted assessment of trademark similarity
Related paper: Shape-Based Retrieval: A Case Study with Trademark Image Databases
Unrelated paper: SemEval-2007 Task-17: English Lexical Sample, SRL and All Words
Paper: Multi-faceted assessment of trademark similarity
Related paper: Fuzzy decision support system for risk analysis in e-commerce development
Unrelated paper: Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning
Paper: Multi-faceted assessment of trademark similarity
Related paper: Shape-Based Retrieval: A Case Study with Trademark Image Databases
Unrelated paper: Droplet-born air blowing: Novel dissolving microneedle fabrication
Paper: Multi-faceted assessment of trademark similarity
Related paper: Shape-Based Retrieval: A Case Study with Trademark Image Databases
Unrelated paper: Family factors in adolescent problematic Internet gaming: A systematic review
Paper: Multi-faceted assessment of trademark similarity
Related paper: Fuzzy decision support system for risk analysis in e-commerce development
Unrelated paper: Savoring the Past: Positive Memories Evoke Value Representations in the Striatum
Paper: Frontal cortex function as derived from hierarchical predictive coding
Related paper: the neural basis of human error processing : reinforcement learning , dopamine , and the error - related negativity .
Unrelated paper: ERP components on reaction errors and their functional significance: a tutorial
Paper: Frontal cortex function as derived from hierarchical predictive coding
Related paper: Banishing the Homunculus: Making Working Memory Work
Unrelated paper: An optimal minimum spanning tree algorithm
Paper: Frontal cortex function as derived from hierarchical predictive coding
Related paper: Banishing the Homunculus: Making Working Memory Work
Unrelated paper: Neurogenesis in the adult human hippocampus
Paper: Frontal cortex function as derived from hierarchical predictive coding
Related paper: the neural basis of human error processing : reinforcement learning , dopamine , and the error - related negativity .
Unrelated paper: The Role of Feedback Types on False Memory in Children and Adolescents
Paper: Frontal cortex function as derived from hierarchical predictive coding
Related paper: Banishing the Homunculus: Making Working Memory Work
Unrelated paper: First Person Trolley Problem: Evaluation of Drivers' Ethical Decisions in a Driving Simulator
Paper: Diagnosis of Heart Disease Using Data Mining Algorithm
Related paper: Fast Algorithms for Mining Association Rules in Large Databases
Unrelated paper: Application of Data Mining Techniques to Healthcare Data
Paper: Diagnosis of Heart Disease Using Data Mining Algorithm
Related paper: Fast Algorithms for Mining Association Rules in Large Databases
Unrelated paper: making health care safer : a critical analysis of patient safety practices .
Paper: Diagnosis of Heart Disease Using Data Mining Algorithm
Related paper: Fast Algorithms for Mining Association Rules in Large Databases
Unrelated paper: Model Guided Deep Learning Approach Towards Prediction of Physical System Behavior
Paper: Diagnosis of Heart Disease Using Data Mining Algorithm
Related paper: Programs for machine learning Part I
Unrelated paper: Tardigrada of the Revdalen (Spitsbergen) with the descriptions of two new species: Bryodelphax parvuspolaris (Heterotardigrada) and Isohypsibius coulsoni (Eutardigrada)
Paper: Diagnosis of Heart Disease Using Data Mining Algorithm
Related paper: "Intelligent Heart Disease Prediction System Using Data Mining Techniques"
Unrelated paper: Role of nursing leadership in providing compassionate care
Paper: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Related paper: On Support Relations and Semantic Scene Graphs
Unrelated paper: Stereopsis via deep learning
Paper: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Related paper: Conditional Random Fields as Recurrent Neural Networks
Unrelated paper: K-strings algorithm, a new approach based on Kmeans
Paper: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Related paper: Fully Convolutional Networks for Semantic Segmentation
Unrelated paper: PathViewer: Visualizing Pathways through Student Data
Paper: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Related paper: On Support Relations and Semantic Scene Graphs
Unrelated paper: Curcumin as potential therapeutic natural product: a nanobiotechnological perspective.
Paper: Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Related paper: Fully Convolutional Networks for Semantic Segmentation
Unrelated paper: Stable Operation and Electricity Generating Characteristics of a Single-Cylinder Free Piston Engine Linear Generator: Simulation and Experiments
Paper: An Accelerator for High Efficient Vision Processing
Related paper: Deep learning with COTS HPC systems
Unrelated paper: Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Paper: An Accelerator for High Efficient Vision Processing
Related paper: Flexible, High Performance Convolutional Neural Networks for Image Classification
Unrelated paper: The relationship between perceived parenting styles, resilience and emotional intelligence among adolescents
Paper: An Accelerator for High Efficient Vision Processing
Related paper: DaDianNao: A Machine-Learning Supercomputer
Unrelated paper: Pre-Touch Sensing for Mobile Interaction
Paper: An Accelerator for High Efficient Vision Processing
Related paper: Improving the speed of neural networks on CPUs
Unrelated paper: OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale
Paper: An Accelerator for High Efficient Vision Processing
Related paper: CNP: An FPGA-based processor for Convolutional Networks
Unrelated paper: Reconstruction of Dorsal and/or Caudal Nasal Septum Deformities With Septal Battens or by Septal Replacement: An Overview and Comparison of Techniques
Paper: XPED2: A Passive Exoskeleton with Artificial Tendons
Related paper: A QUASI-PASSIVE LEG EXOSKELETON FOR LOAD-CARRYING AUGMENTATION
Unrelated paper: Manufacture of Passive Dynamic Ankle–Foot Orthoses Using Selective Laser Sintering
Paper: XPED2: A Passive Exoskeleton with Artificial Tendons
Related paper: A QUASI-PASSIVE LEG EXOSKELETON FOR LOAD-CARRYING AUGMENTATION
Unrelated paper: Toward Smarter Vulnerability Discovery Using Machine Learning
Paper: XPED2: A Passive Exoskeleton with Artificial Tendons
Related paper: A QUASI-PASSIVE LEG EXOSKELETON FOR LOAD-CARRYING AUGMENTATION
Unrelated paper: Telemanipulation Assistance Based on Motion Intention Recognition
Paper: XPED2: A Passive Exoskeleton with Artificial Tendons
Related paper: Position and orientation in space of bones during movement: anatomical frame definition and determination
Unrelated paper: Mobile Edge Fog Computing in 5G Era: Architecture and Implementation
Paper: XPED2: A Passive Exoskeleton with Artificial Tendons
Related paper: A QUASI-PASSIVE LEG EXOSKELETON FOR LOAD-CARRYING AUGMENTATION
Unrelated paper: Approach to hypokalemia.
Paper: Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
Related paper: Robot Task Planning using Semantic Maps
Unrelated paper: CORPP: commonsense reasoning and probabilistic planning, as applied to dialog with a mobile robot
Paper: Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach
Paper: Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
Related paper: Robot Task Planning using Semantic Maps
Unrelated paper: The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley&Twitter
Paper: Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
Related paper: Using Knowledge Representation and Reasoning Tools in the Design of Robots
Unrelated paper: Improving electromagnetic compatibility performance of packages and SiP modules using a conformal shielding solution
Paper: Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning
Related paper: Reinforcement Learning: An Introduction
Unrelated paper: Biometric Recognition: An Overview
Paper: text mining for market prediction : a systematic review .
Related paper: Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
Unrelated paper: Twitter Sentiment Analysis: The Good the Bad and the OMG!
Paper: text mining for market prediction : a systematic review .
Related paper: AI and Opinion Mining
Unrelated paper: Diversified ranking on large graphs: an optimization viewpoint
Paper: text mining for market prediction : a systematic review .
Related paper: Emotion detection in suicide notes
Unrelated paper: Node Representation Learning for Multiple Networks: The Case of Graph Alignment
Paper: text mining for market prediction : a systematic review .
Related paper: Prediction ofStock Price Movements BasedonConcept MapInformation
Unrelated paper: Estimating coverage holes and enhancing coverage in mixed sensor networks
Paper: text mining for market prediction : a systematic review .
Related paper: Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
Unrelated paper: Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke
Paper: Blockchain Mining Games
Related paper: Analysis of Bitcoin Pooled Mining Reward Systems
Unrelated paper: Permacoin: Repurposing Bitcoin Work for Data Preservation
Paper: Blockchain Mining Games
Related paper: client puzzles : a cryptographic countermeasure against connection depletion attacks .
Unrelated paper: Explainable Recommendation: Theory and Applications
Paper: Blockchain Mining Games
Related paper: client puzzles : a cryptographic countermeasure against connection depletion attacks .
Unrelated paper: VLSI design for 3D-Ultrasonic source localization using General Cross Correlation and Triangulation algorithm
Paper: Blockchain Mining Games
Related paper: Optimal Selfish Mining Strategies in Bitcoin
Unrelated paper: Detecting Spam Review through Sentiment Analysis
Paper: Blockchain Mining Games
Related paper: Double-spending fast payments in bitcoin
Unrelated paper: Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Paper: Semantic Facial Expression Editing using Autoencoded Flow
Related paper: Context Encoders: Feature Learning by Inpainting
Unrelated paper: The Laplacian Pyramid as a Compact Image Code
Paper: Semantic Facial Expression Editing using Autoencoded Flow
Related paper: Facial expression editing in video using a temporally-smooth factorization
Unrelated paper: Widely linear general Kalman filter for stereophonic acoustic echo cancellation
Paper: Semantic Facial Expression Editing using Autoencoded Flow
Related paper: Fully Connected Deep Structured Networks
Unrelated paper: Close to Human Quality TTS with Transformer
Paper: Semantic Facial Expression Editing using Autoencoded Flow
Related paper: Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Unrelated paper: The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods
Paper: Semantic Facial Expression Editing using Autoencoded Flow
Related paper: Fully Connected Deep Structured Networks
Unrelated paper: Particle belief propagation
Paper: Kalman filtering over a packet dropping network: A probabilistic approach
Related paper: Foundations of Control and Estimation Over Lossy Networks
Unrelated paper: Stochastic Analysis and Control of Real-Time Systems with Random Time Delays
Paper: Kalman filtering over a packet dropping network: A probabilistic approach
Related paper: A Survey of Recent Results in Networked Control Systems
Unrelated paper: Best Practices for the Use of Data Analysis in Audit
Paper: Kalman filtering over a packet dropping network: A probabilistic approach
Related paper: A Survey of Recent Results in Networked Control Systems
Unrelated paper: Relationships of brassinosteroid signaling with knox and wab1 genes on maize plant architecture
Paper: Kalman filtering over a packet dropping network: A probabilistic approach
Related paper: Foundations of Control and Estimation Over Lossy Networks
Unrelated paper: 1 transformational leadership and job behaviors : the mediating role of core job characteristics .
Paper: Kalman filtering over a packet dropping network: A probabilistic approach
Related paper: A Survey of Recent Results in Networked Control Systems
Unrelated paper: Target value design: using collaboration and a lean approach to reduce construction cost
Paper: Content-based audio segmentation using support vector machines
Related paper: An overview of audio information retrieval
Unrelated paper: Automatic audio content analysis
Paper: Content-based audio segmentation using support vector machines
Related paper: Support-vector networks
Unrelated paper: successful use of spinal cord stimulation in the treatment of severe raynaud ' s disease of the hands .
Paper: Content-based audio segmentation using support vector machines
Related paper: Statistical learning theory
Unrelated paper: Fast Photovoltaic-System Voltage- or Current-Oriented MPPT Employing a Predictive Digital Current-Controlled Converter
Paper: Content-based audio segmentation using support vector machines
Related paper: Support-vector networks
Unrelated paper: Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures
Paper: Content-based audio segmentation using support vector machines
Related paper: An overview of audio information retrieval
Unrelated paper: A belief network model for IR
Paper: Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Related paper: Adam: A Method for Stochastic Optimization
Unrelated paper: Reading Digits in Natural Images with Unsupervised Feature Learning
Paper: Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Related paper: Dropout: a simple way to prevent neural networks from overfitting
Unrelated paper: From dynamic movement primitives to associative skill memories
Paper: Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Related paper: Learning Transferable Architectures for Scalable Image Recognition
Unrelated paper: Towards a Legal Recommender System
Paper: Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Related paper: Learning Transferable Architectures for Scalable Image Recognition
Unrelated paper: The Fear Factor: How It Affects Students Learning to Program in a Tertiary Environment
Paper: Parallel Architecture and Hyperparameter Search via Successive Halving and Classification
Related paper: Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Unrelated paper: Extreme Extraction: Only One Hour per Relation
Paper: Hash-based enhancement of location privacy for radio-frequency identification devices using varying identifiers
Related paper: RFID Systems and Security and Privacy Implications
Unrelated paper: The Networked Physical World System.
Paper: Hash-based enhancement of location privacy for radio-frequency identification devices using varying identifiers
Related paper: RFID Systems and Security and Privacy Implications
Unrelated paper: A User Model of Psychophysiological Measure of Emotion
Paper: Hash-based enhancement of location privacy for radio-frequency identification devices using varying identifiers
Related paper: RFID Systems and Security and Privacy Implications
Unrelated paper: Upper-limb robot-assisted therapy in rehabilitation of acute stroke patients: Focused review and results of new randomized controlled trial
Paper: Hash-based enhancement of location privacy for radio-frequency identification devices using varying identifiers
Related paper: RFID Systems and Security and Privacy Implications
Unrelated paper: A new method to investigate the CCZ-equivalence between functions with low differential uniformity
Paper: Hash-based enhancement of location privacy for radio-frequency identification devices using varying identifiers
Related paper: RFID Systems and Security and Privacy Implications
Unrelated paper: XNOR-RRAM: A scalable and parallel resistive synaptic architecture for binary neural networks
Paper: Punctuation Prediction Model for Conversational Speech
Related paper: A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins
Unrelated paper: Adaptive subgradient methods for online learning and stochastic optimization
Paper: Punctuation Prediction Model for Conversational Speech
Related paper: Biopython: freely available Python tools for computational molecular biology and bioinformatics
Unrelated paper: Root Coverage Using the Coronally Positioned Flap With or Without a Subepithelial Connective Tissue Graft