DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction | Paper Citation Record

Observation 8a446001-3e91-45f0-be6d-a94633479bbb · outbound

This paper cites Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.834239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce51b217-f028-451f-b46e-5144b87fcc66 · outbound

This paper cites Wu, and J.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Wu, and J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.818829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42ec9729-0f3d-4124-8ac1-48fecb358910 · outbound

This paper cites Local Search-Based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Local Search-Based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems ,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.802450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bff5dceb-1210-45c0-8867-cd462343b4cb · outbound

This paper cites Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.785684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 080bc555-5e64-418f-809d-8babce10146c · outbound

This paper cites SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.769979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 855dcce4-f67b-4b59-babd-ca7bdfb9a6d8 · outbound

This paper cites A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.753353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c279d6cb-0be8-4deb-8d34-2539c17588a8 · outbound

This paper cites Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.735792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa1a50db-9185-4850-800b-5874429980e3 · outbound

This paper cites A PID -incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A PID -incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.718204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1bee8b6-ce2c-488c-a212-5f22e2c92fa5 · outbound

This paper cites A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Double-Space and Double-Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.701054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a99139db-444f-426e-bc1e-e333545296ff · outbound

This paper cites Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.683127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77d016de-d99a-4628-a5ca-b0d8bedcd163 · outbound

This paper cites Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Instance-Frequency-Weighted Regularized, Nonnegative and Adaptive Latent Factorization of Tensors for Dynamic QoS Analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.666988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a5cb3e8-329c-44be-91b9-17ba85356bcb · outbound

This paper cites Momentum-incorporated Symmetric Non-negative Latent Factor Models ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Momentum-incorporated Symmetric Non-negative Latent Factor Models ,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.651392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30c13b8b-b8dd-4576-a999-ca9de5f584e4 · outbound

This paper cites A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.635619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 935279d8-7a71-455f-b463-0f96008cf91b · outbound

This paper cites MMLF: Multi -Metric Latent Feature Analysis for High -Dimensional and Incomplete Data ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction MMLF: Multi -Metric Latent Feature Analysis for High -Dimensional and Incomplete Data ,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.620283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a1b90c1-a1f2-4b66-929c-d1f351080b41 · outbound

This paper cites A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.605246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 83cdfacb-1901-4ec6-b1a5-fc5a7aeae341 · outbound

This paper cites Iterative Role Negotiation via the Bi -level GRA++ with Decision Tolerance,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Iterative Role Negotiation via the Bi -level GRA++ with Decision Tolerance,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.589800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7761c074-15eb-411c-8da1-bd79179480a0 · outbound

This paper cites Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High -Dimensional Incomplete Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High -Dimensional Incomplete Data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.574154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbc59c7d-1ff3-45ff-86d1-61aaecf28e99 · outbound

This paper cites HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction HRST-LR: A Hessian Regularization Spatio-Temporal Low Rank Algorithm for Traffic Data Imputation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.559300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 211b568b-7be4-490a-b173-bcfeb4ac291f · outbound

This paper cites Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis ,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.544266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 312b95aa-df78-493b-abf9-825c142cbc74 · outbound

This paper cites Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Neural Latent Factorization of Tensors for Dynamically Weighted Directed Networks Analysis ,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.528505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6cffe3b4-4981-4c41-87fd-ec1b43688544 · outbound

This paper cites A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.513303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58c609f7-ea95-49a1-8d10-93c942ad3a0e · outbound

This paper cites A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Posterior-Neighborhood-Regularized Latent Factor Model for Highly Accurate Web Service QoS Prediction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.497657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4f3882d-07f8-4aea-b221-a01f7f7315cb · outbound

This paper cites Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.482737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1f77031-bff8-4e3d-8d3e-d9b03d22d4a4 · outbound

This paper cites A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.468128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f31977bd-e1a2-44c7-9dd4-64ffacca94a8 · outbound

This paper cites Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.452877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4598a220-d4f9-4a6c-96e7-9c03fe9e6148 · outbound

This paper cites Dynamic Network Representation Based on Latent Factorization of Tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Dynamic Network Representation Based on Latent Factorization of Tensors,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.437375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 550b808c-b0ca-432d-9e4b-1b460b3e2751 · outbound

This paper cites Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High -Dimensional and Incomplete Industrial Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High -Dimensional and Incomplete Industrial Data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.421222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20b8f894-78b8-431d-8415-54b959d9c8ad · outbound

This paper cites Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis ,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.405216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67901646-609a-4933-9fd8-c06ccc813fdd · outbound

This paper cites Adaptively -accelerated Parallel Stochastic Gradient Descent for High -Dimensional and Incomplete Data Representation Learning,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Adaptively -accelerated Parallel Stochastic Gradient Descent for High -Dimensional and Incomplete Data Representation Learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.389691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68a589b8-92cb-4cca-932d-62ebac807e3b · outbound

This paper cites A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Robust and Efficient Ensemble of Diversified Evolutionary Computing Algorithms for Accurate Robot Calibration,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.374521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af143e29-b82e-485f-bbaf-a7d0da5f56c6 · outbound

This paper cites A Novel Tensor Decomposition -based Efficient Detector for Low -altitude Aerial Objects with Knowledge Distillation Scheme,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Novel Tensor Decomposition -based Efficient Detector for Low -altitude Aerial Objects with Knowledge Distillation Scheme,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.358656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e0f79388-aabf-4a4c-b6e0-da3c315bd69c · outbound

This paper cites A Prediction -sampling-based Multilayer -structured Latent Factor Model for Accurate Representation to High dimensional and Sparse Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Prediction -sampling-based Multilayer -structured Latent Factor Model for Accurate Representation to High dimensional and Sparse Data,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.342475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e04fac6-17bb-48be-8eb5-680feb7b00ef · outbound

This paper cites Saliency -Aware Dual Embedded Attention Network for Multivariate Time -Series Forecasting in Information Technology Operations,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Saliency -Aware Dual Embedded Attention Network for Multivariate Time -Series Forecasting in Information Technology Operations,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.325716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afde900c-d07f-4def-9417-9c3719a1f213 · outbound

This paper cites Fast and Accurate Non-negative Latent Factor Analysis on High-dimensional and Sparse Matrices in Recommender Systems,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Fast and Accurate Non-negative Latent Factor Analysis on High-dimensional and Sparse Matrices in Recommender Systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.309001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 141f6700-4efc-4d34-ab88-1f9e2b31a707 · outbound

This paper cites An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.293055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81468d97-773f-4493-a239-e91b8d13132d · outbound

This paper cites Symmetry and Graph Bi -Regularized Non-Negative Matrix Factorization for Precise Community Detection ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Symmetry and Graph Bi -Regularized Non-Negative Matrix Factorization for Precise Community Detection ,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.276839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c2695ec-5f60-42cb-8f98-8348cb1ab568 · outbound

This paper cites A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.260269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation caa5f340-5d14-475f-b73f-4d209e16979c · outbound

This paper cites Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High -Dimensional Incomplete Tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High -Dimensional Incomplete Tensors,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.244607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 672054a4-e5f3-4114-ae26-4bdc6327d4f8 · outbound

This paper cites Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.227703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edd96fde-5d7e-4691-b2a9-bb5421073f41 · outbound

This paper cites Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.210837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f094c95-2f1a-4703-987c-85a68b916393 · outbound

This paper cites Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.194155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf1103e2-7ca0-4b40-bf2a-9e90b70a0e66 · outbound

This paper cites FCAN-MOPSO: An Improved Fuzzy-based Graph Clustering Algorithm for Complex Networks with Multi- objective Particle Swarm Optimization,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction FCAN-MOPSO: An Improved Fuzzy-based Graph Clustering Algorithm for Complex Networks with Multi- objective Particle Swarm Optimization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.177080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac60d1f3-aa8f-4571-b012-e5054e8893d6 · outbound

This paper cites A Graph-incorporated Latent Factor Analysis Model for High-dimensional and Sparse Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Graph-incorporated Latent Factor Analysis Model for High-dimensional and Sparse Data,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.154545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7f78e31-bf9e-4db2-a8e8-7ec78b83a4c0 · outbound

This paper cites A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.135828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b881b99-36da-4108-a7f1-76bb5fcb34c8 · outbound

This paper cites Diversified Regularization Enhanced Training for Effective Manipulator C alibration,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Diversified Regularization Enhanced Training for Effective Manipulator C alibration,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.119190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e165281-0148-492a-881c-5e2e186df6f7 · outbound

This paper cites Tensor Distribution Regression based on the 3D Conventional Neural Networks,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Tensor Distribution Regression based on the 3D Conventional Neural Networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.095334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 708d5520-35c7-4697-8765-4584c4cb5e52 · outbound

This paper cites MNL: A Highly -Efficient model for Large -scale Dynamic Weighted Directed Network Representation,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction MNL: A Highly -Efficient model for Large -scale Dynamic Weighted Directed Network Representation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.078575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b7afd23-ec54-4ff1-87fa-ba9549869fa8 · outbound

This paper cites Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg Marquardt Algorithm,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg Marquardt Algorithm,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.063592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ffcaf31-0949-4b25-967f-8a3921388c82 · outbound

This paper cites An Adaptive Divergence-based Non-negative Latent Factor Model,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction An Adaptive Divergence-based Non-negative Latent Factor Model,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.047129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03039dce-df76-40a4-8468-8635f5853f6f · outbound

This paper cites Highly-Accurate Community Detection via Pointwise Mutual Information -Incorporated Symmetric Non- Negative Matrix Factorization,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Highly-Accurate Community Detection via Pointwise Mutual Information -Incorporated Symmetric Non- Negative Matrix Factorization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.031773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7e96f68-5b6f-40fb-8f38-b6a161cfee17 · outbound

This paper cites A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method ,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:09.015672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15ecb050-7a9d-4604-939f-3b39a03fd916 · outbound

This paper cites Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.999795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88952e01-4e86-4d44-9b2d-94d54c66b4c9 · outbound

This paper cites Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection ,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.982917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dea3e4f9-f511-4432-8c7d-ff1d52cee9c4 · outbound

This paper cites Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Cryptocurrency Transaction Network Embedding From Static and Dynamic Perspectives: An Overview ,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.967590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75f4ca25-59a4-401b-8a78-5cfa5dff2d0e · outbound

This paper cites Data Driven Vibration Control: A Review,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Data Driven Vibration Control: A Review,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.951633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42d942d3-2b89-40cc-9e6c-c3aeafa1d3c2 · outbound

This paper cites Highly Accurate Manipulator Calibration via Extended Kalman Filter -Incorporated Residual Neural Network ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Highly Accurate Manipulator Calibration via Extended Kalman Filter -Incorporated Residual Neural Network ,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.936016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7630dc2e-96c5-4b87-9e2e-e0b488dc98ec · outbound

This paper cites Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes ,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.920358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aeec1c3c-315c-4bce-9b31-cbe24f9685ea · outbound

This paper cites A Fine-Grained Regularization Scheme for Non-negative Latent Factorization of High-Dimensional and Incomplete Tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Fine-Grained Regularization Scheme for Non-negative Latent Factorization of High-Dimensional and Incomplete Tensors,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.904443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fabf93a0-27cc-46ea-9787-b77daeed36d0 · outbound

This paper cites Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Assimilating Second-Order Information for Building Non-Negative Latent Factor Analysis-Based Recommenders,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.887685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 922f5889-e66f-4f6e-b6da-20b4aeb68e21 · outbound

This paper cites A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.869951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06ee5259-21c9-4f4a-9989-5ba2b011aae4 · outbound

This paper cites A Distributed Adaptive Second-Order Latent Factor Analysis Model,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Distributed Adaptive Second-Order Latent Factor Analysis Model,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.853622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f10590c-960e-4d6a-b06e-97deb8cbd7c3 · outbound

This paper cites A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.836371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c28525f-cf42-4d4f-995b-8ae99c96ac89 · outbound

This paper cites Incorporation of Efficient Second -Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Incorporation of Efficient Second -Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.818320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4d27e6d-389c-4e5e-858b-c139a2636811 · outbound

This paper cites An Efficient Second -Order Approach to Factorize Sparse Matrices in Recommender Systems,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction An Efficient Second -Order Approach to Factorize Sparse Matrices in Recommender Systems,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.802583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 318689b6-aa4f-4f8e-9f00-63243a71ea41 · outbound

This paper cites A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Momentum-Accelerated Hessian-Vector-Based Latent Factor Analysis Model,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:08.461298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f97c6897-9fa3-4906-8e7b-d1675c3c8a51 · outbound

This paper cites Efficient and High -quality Recommendations via Momentum -incorporated Parallel Stochastic Gradient Descent-Based Learning,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Efficient and High -quality Recommendations via Momentum -incorporated Parallel Stochastic Gradient Descent-Based Learning,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.775057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b7955c4-cf57-48a0-beaa-2c0fa1561f89 · outbound

This paper cites A Novel Approach to Large -Scale Dynamically Weighted Directed Network Representation ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Novel Approach to Large -Scale Dynamically Weighted Directed Network Representation ,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.758953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7fcd57bf-4b0e-4c6c-873a-38a595190748 · outbound

This paper cites Latent Factorization of Tensors in Hyperbolic Space for Spatiotemporal Traffic Data Imputation ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Latent Factorization of Tensors in Hyperbolic Space for Spatiotemporal Traffic Data Imputation ,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T04:17:08.480197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d26a298b-266f-4dfc-ae5e-776e1c42badd · outbound

This paper cites Discovering Hidden Pattern in Large -scale Dynamically Weighted Directed Network via Latent Factorization of Tensors ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Discovering Hidden Pattern in Large -scale Dynamically Weighted Directed Network via Latent Factorization of Tensors ,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.739730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d12a99f1-a89c-4dab-8f3c-b2ec570be5e0 · outbound

This paper cites Proportional-Integral-Derivative-Incorporated Latent Factorization of Tensors for Large -Scale Dynamic Network Analysis ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Proportional-Integral-Derivative-Incorporated Latent Factorization of Tensors for Large -Scale Dynamic Network Analysis ,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.723183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34b3ce16-acbd-4899-92fa-fd0dea3ec031 · outbound

This paper cites Efficient Representation to Dynamic QoS Data via Momentum -incorporated Biased Nonnegative and Adaptive Latent Factorization of Tensors,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Efficient Representation to Dynamic QoS Data via Momentum -incorporated Biased Nonnegative and Adaptive Latent Factorization of Tensors,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.704018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38103c2c-afb6-476b-b47b-50bdf9b09215 · outbound

This paper cites A Fast and Inherently Nonnegative Latent Factorization of Tensors Model for Dynamic Directed Network Representation ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction A Fast and Inherently Nonnegative Latent Factorization of Tensors Model for Dynamic Directed Network Representation ,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.686591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3bcb158a-5f2d-4874-8411-6911c2cf8aa4 · outbound

This paper cites Dynamically Weighted Directed Network Link Prediction Using Tensor Ring Decomposition ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Dynamically Weighted Directed Network Link Prediction Using Tensor Ring Decomposition ,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.670051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d17dd148-ec01-42d5-ada3-6693bdd06b43 · outbound

This paper cites Modularity Maximization-Incorporated Nonnegative Tensor RESCAL Decomposition for Dynamic Community Detection,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction Modularity Maximization-Incorporated Nonnegative Tensor RESCAL Decomposition for Dynamic Community Detection,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.649963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3568fd78-2b06-4715-89b7-452ce9783dfb · outbound

This paper cites HP-CSF: An GPU Optimization Method for CP Decomposition of Incomplete Tensors ,.

DRSLF: Double Regularized Second-Order Low-Rank Representation for Web Service QoS Prediction HP-CSF: An GPU Optimization Method for CP Decomposition of Incomplete Tensors ,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:17:08.632126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers