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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.3115/981436.981441openalex-snapshot

Metaphor

inferredcites →https://doi.org/10.3115/982163.982166openalex-snapshot

Towards a self-extending parser

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Unconstrained Optimization Problems

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Binary Strings and multiclass learning problems

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Clustering Based on Sequential Multi-Objective Games

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User-Constrained Clustering in Online Requirements Forums

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Concurrent Inference of Topic Models and Distributed Vector Representations

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Component Reduction for Hierarchical Mixture Model Construction

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Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis

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Nomogram Visualization for Ranking Support Vector Machine

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MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra

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Crystalline Microstructure and Versatile Resistive Switching Property in Rutile TiO2-x Four-Terminal Memristors

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HANE-SHC: Heterogeneous attributed network embedding with structural homophily contents

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A Computational Approach to Uncovering Economic Growth Factors

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Adaptable Cross-organizational Unstructured Business Processes via Dynamic Rule-based Semantic Network

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Medoid-based clustering using ant colony optimization

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Support vector machines committee classification method for computer-aided polyp detection in CT colonography1

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Basis scaling and double pruning for efficient inference in network-based transfer learning

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MetGem Software for the Generation of Molecular Networks Based on the t-SNE Algorithm

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A Review on Optimal Subsampling Method

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Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection

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A spiking half-cognitive model for classification

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Deep enhanced constraint clustering based on contrastive learning for scRNA-seq data

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Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications

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Explore Deep Learning Trends By Decoding Activated Networks

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Texture features corresponding to human touch feeling

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Compact Bilinear Deep Features For Environmental Sound Recognition

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Diversity-Driven Multikernel Collaborative Representation Ensemble for Hyperspectral Image Classification

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Concept Hypotaxis Semantic Network: A Knowledge Representation Model for Multimedia Data Mining

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MANIFOLD LEARNING FOR ROBOT NAVIGATION

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NAMED ENTITY RECOGNITION IN GREEK TEXTS WITH AN ENSEMBLE OF SVMS AND ACTIVE LEARNING

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AN L1-REGULARIZED NAÏVE BAYES-INSPIRED CLASSIFIER FOR DISCARDING REDUNDANT AND IRRELEVANT PREDICTORS

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A ROBUST FUZZY CLASSIFICATION MAXIMUM LIKELIHOOD CLUSTERING FRAMEWORK

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Supervised dictionary learning for music genre classification

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Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data

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Topic Exploration with the HTRC Data Capsule for Non-Consumptive Research

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A Framework for Topic Generation and Labeling from MOOC Discussions

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Estimating the Finger Orientation on Capacitive Touchscreens Using Convolutional Neural Networks

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Evolving modular neural sequence architectures with genetic programming

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Moroccan Water Information System

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Traffic Flow Prediction by an Ensemble Framework with Data Denoising and Functional Principal Components Analysis

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A virtual memory manager optimized for node-level cooperative multi-tasking in memory constrained systems

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Integrated Bayesian approach for station location and orientation in marine active-source seismic studies

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Cluster-based Ensemble Classification Approach for Anomaly Detection in the Internet of Things

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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses

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Research on Integrated Learning Fraud Detection Method Based on Combination Classifier Fusion (THBagging): A Case Study on the Foundational Medical Insurance Dataset

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Multi-Sensor Activity Monitoring: Combination of Models with Class-Specific Voting

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An Overview of Machine Learning within Embedded and Mobile Devices–Optimizations and Applications

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Detección automática, clasificación y reconocimiento de escorpiones mediante técnicas de Aprendizaje Profundo

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MAKİNE ÖĞRENMESİ ALGORİTMALARI İLE SATIŞ TAHMİNİ

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