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Blocking

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.

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Papers

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Showing 101–150 of 524 papers

TitleStatusHype
Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs—0
Cellular Automata Model for Non-Structural Proteins Comparing Transmissibility and Pathogenesis of SARS Covid (CoV-2, CoV) and MERS Covid—0
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer—0
Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier—0
A Review of the GIC Blocker Placement Problem—0
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding—0
A hybrid transmission model for Plasmodium vivax accounting for superinfection, immunity and the hypnozoite reservoir—0
Cloud Storage for Multi-Service Battery Operation (Extended Version)—0
A small molecule drug candidate targeting SARS-CoV-2 main protease—0
Cores in discrete exchange economies with complex endowments—0
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems—0
An Experimental Study of Decentralized Matching—0
A Survey on Resilient Machine Learning—0
Combinatorial Blocking Bandits with Stochastic Delays—0
With a little help from my friends: essentiality vs opportunity in group criticality—0
Doing good by fighting fraud: Ethical anti-fraud systems for mobile payments—0
Attention based Occlusion Removal for Hybrid Telepresence Systems—0
Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues—0
Constrained Deployment Optimization in Integrated Access and Backhaul Networks—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
Blocking Probability in Obstructed Tunnels with Reconfigurable Intelligent Surface—0
Contextual adversarial attack against aerial detection in the physical world—0
Contextual Blocking Bandits—0
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning—0
A Framework for Causal Discovery in non-intervenable systems—0
Cooperative Beamforming and RISs Association for Multi-RISs Aided Multi-Users MmWave MIMO Systems through Graph Neural Networks—0
Advancing Direct Convolution using Convolution Slicing Optimization and ISA Extensions—0
Blocking Collapsed Gibbs Sampler for Latent Dirichlet Allocation Models—0
Blocking Bandits—0
A Neural Network Model of Continual Learning with Cognitive Control—0
A4 : Evading Learning-based Adblockers—0
Blocking and Other Enhancements for Bottom-Up Model Generation Methods—0
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks—0
An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets—0
Block-Based Multi-Scale Image Rescaling—0
Block based Adaptive Compressive Sensing with Sampling Rate Control—0
An Efficient Style Virtual Try on Network for Clothing Business Industry—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search—0
Don't Stop Me Now: Embedding Based Scheduling for LLMs—0
Block and Detail: Scaffolding Sketch-to-Image Generation—0
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems—0
An Effective Dereverberation Algorithm by Fusing MVDR and MCLP—0
Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants—0
BioSpaun: A large-scale behaving brain model with complex neurons—0
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)—0
Detecting Unknown DGAs without Context Information—0
Analysis of Intelligent Reflecting Surface-Enhanced Mobility Through a Line-of-Sight State Transition Model—0
A Deep Dive into the Connections Between the Renormalization Group and Deep Learning in the Ising Model—0
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks—0
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