Pith. sign in

Paper Citation Record · LEDGER

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.01678.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.01678 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:49.643716Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact4
  • verified fuzzy38
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 478b03a8-3cc7-41c0-a3dc-6595b8e92851 · outbound

This paper cites Chatter suppression techniques in metal cutting,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Chatter suppression techniques in metal cutting,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.368212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.434403Z digest=sha256:ee6a4e5e3782d6d08aeb7f60a263e060c602cae22db88302e63f2f30176cf39d

Observation e185bc64-4bc6-4243-a13f-2354aba46c5a · outbound

This paper cites Chatter detection in milling machines by neural network classification and feature selection,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Chatter detection in milling machines by neural network classification and feature selection,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.352794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.439765Z digest=sha256:caec92fdd2d71ebac5559e552a071f61750223b441097c5e2ccc9a0c4593924c

Observation d42f5c14-d956-4679-ab78-9fa4b84f89ad · outbound

This paper cites Early chatter detection based on logistic regression with time and fre- quency domain features,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Early chatter detection based on logistic regression with time and fre- quency domain features,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.334930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.445135Z digest=sha256:0f4200e75ff90614f6fff243bcdcb8a204950bfde05b5f85267f93c7df73b851

Observation 160d9c7a-49f8-48f0-ba88-e8aa7f682799 · outbound

This paper cites Chatter detection in band sawing based on discriminant analysis of sound features,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Chatter detection in band sawing based on discriminant analysis of sound features,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.318914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.450428Z digest=sha256:db6e1ee1dec95dd828d6705d3da9ad8b664dcad2693fb120bb7c7cdac48fae8b

Observation 206b353f-46a4-49a1-8f14-8355de50a630 · outbound

This paper cites ESPRIT- and HMM-based real-time monitoring and suppression of machining chatter in smart CNC milling system,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping ESPRIT- and HMM-based real-time monitoring and suppression of machining chatter in smart CNC milling system,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.300687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.455553Z digest=sha256:04f8049e556397a773fac857fecd74d416264feb1e71699b60dd38d86b57127f

Observation cd9e55f7-dd29-433e-af42-8dd15f183b77 · outbound

This paper cites Online chatter detection of the end milling based on wavelet packet transform and support vector machine recursive feature elimination,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Online chatter detection of the end milling based on wavelet packet transform and support vector machine recursive feature elimination,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.284602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.460432Z digest=sha256:9a7a456724a840b367bd2fd89dea0489c61738e8c2fa55fc15570bee6622d1d5

Observation ae64972a-43a5-4393-9403-6456bc3327f6 · outbound

This paper cites Early milling chatter identification by improved empirical mode decomposition and multi-indicator synthetic evaluation,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Early milling chatter identification by improved empirical mode decomposition and multi-indicator synthetic evaluation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.266895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.465735Z digest=sha256:20c8b158db16c8d2fb078b4d3bfdb6b1e6b695ae7ccbdb4fcf8533f967dbe1e6

Observation 5c318ea8-2f50-4e81-910d-812a29577590 · outbound

This paper cites The chatter identification in end milling based on combining EMD and WPD,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping The chatter identification in end milling based on combining EMD and WPD,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.250851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.471496Z digest=sha256:fadfa2dd7789897d434941a23b504470e9bb2d866d0085c663ab3fe9a264dbfd

Observation 5d60336f-cfc7-4567-a771-87ee5b85a831 · outbound

This paper cites An intelligent chatter detection method based on EEMD and feature selection with multi-channel vibration signals,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping An intelligent chatter detection method based on EEMD and feature selection with multi-channel vibration signals,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.233735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.476125Z digest=sha256:a4e0f93f08096cf0505b01e25a4a865e41c80d3d50483c22935938379cfb228c

Observation f36460e9-5abd-4340-8884-9d2bba153ecc · outbound

This paper cites On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:09:49.752384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.481703Z digest=sha256:b31dc0bb2150d9a97bbd0f1fb98c4243762a229792a7e8701e970016f28cc4ac

Observation 93803682-8da0-4238-bc77-83e5c3e3ca0a · outbound

This paper cites Mirror milling chatter identification using q-factor and SVM,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Mirror milling chatter identification using q-factor and SVM,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.216811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.487575Z digest=sha256:2a0302aba9a570f05952ee616f4812a447b6aa3e705cfd66940b46d536d31c79

Observation 63c179e6-2493-47c2-84d8-220350bdf390 · outbound

This paper cites Machining chatter prediction using a data learning model,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Machining chatter prediction using a data learning model,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.200885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.492758Z digest=sha256:8b02de7c54dccf52281a3b326a0a628cfc93258c097720f2908ba1c4c0249217

Observation 2f772ec4-9e76-41ab-a714-3f183b408a80 · outbound

This paper cites Stability determination in turning using persistent homology and time series analysis,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Stability determination in turning using persistent homology and time series analysis,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.185072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.497432Z digest=sha256:66a51ef189e88f26538a4a548b9310c694b6b8feedfcf6518bd65f5a42a4f26c

Observation 975290ee-db80-4aa3-8616-5ee4751ca22f · outbound

This paper cites Chatter detection in turning using persistent homology,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Chatter detection in turning using persistent homology,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.169468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.503964Z digest=sha256:097dc17fe139c548f6a85509d0c6e5e765bee0a37e28726a8a43281f1674d580

Observation 9e3aaf76-430c-4028-80ab-d92742711ba7 · outbound

This paper cites Chatter classification in turning using machine learning and topological data analysis,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Chatter classification in turning using machine learning and topological data analysis,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.152965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.508616Z digest=sha256:289946e3667f023c64fe8ece8786873f0f77cd1f9d74758b59d1e700ba6ff367

Observation 07c839ab-88ed-4eed-9938-78d7e695e300 · outbound

This paper cites Topological Feature Vectors for Chatter Detection in Turning Processes.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Topological Feature Vectors for Chatter Detection in Turning Processes

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:09:49.729862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.513365Z digest=sha256:13dd254ad1e48b5f967c298934f65b663a5bf21433e5794ac2d52015852d2bea

Observation da44d52f-a511-4c39-9f77-ebc9f31d7640 · outbound

This paper cites The ring of algebraic functions on persistence bar codes,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping The ring of algebraic functions on persistence bar codes,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.137775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.518833Z digest=sha256:12edd41f2e9f1d6446d534626a791e15e82c28931dc592f5cd29840a229ee1d9

Observation d5138fb5-5cb8-456c-8b81-53272983b6bb · outbound

This paper cites Approximating Continuous Functions on Persistence Diagrams Using Template Functions.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Approximating Continuous Functions on Persistence Diagrams Using Template Functions

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:09:49.707164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.523539Z digest=sha256:6eeff9a4c24c35ace9ce948e116be5c002ff6ece164d615edb041462c56851af

Observation 10a103bb-1ceb-4090-b48d-9d99ab207261 · outbound

This paper cites A stable multi-scale kernel for topological machine learning,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping A stable multi-scale kernel for topological machine learning,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.122223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.529079Z digest=sha256:6e201dcaa47945dfb9fc3fd3b87ffc6bf5e3ebc6955329597f4c65458670d863

Observation c6129492-8299-4370-8e07-283e89640b36 · outbound

This paper cites Persistence paths and signature features in topological data analysis,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Persistence paths and signature features in topological data analysis,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.105570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.533568Z digest=sha256:fa7f026613f42fd49f3054e2478aec03e92a9d3c4e82a002e05b2a4554f6ccbb

Observation c7e87dde-79f0-4ae0-ade9-b9cb3efcff41 · outbound

This paper cites Persistence in sampled dynamical systems faster,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Persistence in sampled dynamical systems faster,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.088740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.538552Z digest=sha256:46b557c089d259879604f64450938169dba176a13b017326d0334fc92b9316f4

Observation be6d15ce-0f83-4a39-b84c-2a3e824304aa · outbound

This paper cites Performance tradeoffs in dynamic time warping algorithms for isolated word recognition,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Performance tradeoffs in dynamic time warping algorithms for isolated word recognition,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.072786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.543408Z digest=sha256:88f9324ec51c864006314f435bff6dfd6a1964e06c9ce92b3587e9addf1931f1

Observation 8c90d158-afcc-4941-8ed5-5b8aaa935d5a · outbound

This paper cites A comparative study of several dynamic time-warping algorithms for connected-word recognition,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping A comparative study of several dynamic time-warping algorithms for connected-word recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.056288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.547867Z digest=sha256:b231c9bd34389d78f75dc3f1d6aba67bb729bdd504aa6d0e9d0bab8e1ad9b649

Observation d66a02f8-060e-47cf-9017-1fe23dba6924 · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Dynamic programming algorithm optimization for spoken word recognition,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.040995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.552540Z digest=sha256:fc2ca4cc09de1f97999a4660df1c80f9a2193b161896446c772da65fa54f67fd

Observation 9eedb67b-920d-4bbe-b91e-e858d5aba5a6 · outbound

This paper cites On the hidden markov model and dynamic time warping for speech recognition-a unified view,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping On the hidden markov model and dynamic time warping for speech recognition-a unified view,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.025306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.557262Z digest=sha256:0d95e48e48bd7d2448a099df3be88d67ec684eb5d116f9c164e497640b6a5bdd

Observation 57ee0384-8d7c-4747-aa18-7a5e9ab63896 · outbound

This paper cites Minimum prediction residual principle applied to speech recognition,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Minimum prediction residual principle applied to speech recognition,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:50.008551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.561966Z digest=sha256:c078addb0151b762b16b78c9ad2557d2d6b207121a485245b7f6519b6448776a

Observation 2262be86-b2b1-4228-b48a-50b3cc5c8244 · outbound

This paper cites On clustering multimedia time series data using k- means and dynamic time warping,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping On clustering multimedia time series data using k- means and dynamic time warping,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.992306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.566980Z digest=sha256:d019064cb1d741b61ca7d8faf13a6b5ed87b47288dd667a643ca14b40fa97730

Observation 1aaa7604-0360-49b5-ba02-b0ee446700c0 · outbound

This paper cites Clustering time series with granular dynamic time warping method,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Clustering time series with granular dynamic time warping method,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.976582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.572766Z digest=sha256:0ebd667a04143f19d3b94ca05a4f1745faf1ea94656a66b330a13695101137c4

Observation 71f8d467-7b4e-4a80-a058-dc4710587b8e · outbound

This paper cites Dynamic time warping averaging of time series allows faster and more accurate classification,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Dynamic time warping averaging of time series allows faster and more accurate classification,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.961398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.578436Z digest=sha256:14ab88918dee2ef1b9d9d18900c8c42864d78d419ca9ce6724b2310e5e1d8480

Observation 6d478e9b-b1e4-4f97-8d92-ca1e0d201c33 · outbound

This paper cites Off-line signature verification using DTW,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Off-line signature verification using DTW,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.946059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.582835Z digest=sha256:7fd270390e0b7f2a40db0f6683815496a0d14a6c8c02273b7c7a91055ac02b57

Observation 06f188c8-48da-45a1-a9c1-a90baba28dbd · outbound

This paper cites Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.931048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.587400Z digest=sha256:2ac5f080d3c93426b553ee93df9073ad98bfe01fb3dd2d8fc9ebf7a09a5a2977

Observation 6ee5a406-7fba-41f9-b466-98ec893a71ee · outbound

This paper cites A comparative analysis of regional correlation, dynamic time warping, and skeletal tree matching for signature verification,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping A comparative analysis of regional correlation, dynamic time warping, and skeletal tree matching for signature verification,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.915533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.592311Z digest=sha256:c8767360c8bbdd4c7786d239b171050f5451abe2f499836660a35f2f533f3902

Observation ec8d2334-640d-47f0-917f-1de00e3d1b1b · outbound

This paper cites On-line signature verification by dynamic time-warping,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping On-line signature verification by dynamic time-warping,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.897013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.597014Z digest=sha256:77d4213416a2f399aa07b35466143afa181934a2565a23d45b75d442381af9c7

Observation 3f03ec6f-fd08-4fc9-8f22-eb3bea64909c · outbound

This paper cites Turning dataset for chatter diagnosis using machine learning.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Turning dataset for chatter diagnosis using machine learning

Reference 34

Resolution
verified exact
doi, observed 2026-08-14T15:09:49.683932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.602676Z digest=sha256:4759769d650c736836b946a86b043161d8bae89fa62ae213dda9f17886be2016

Observation bea3365c-0957-43c3-896f-18bf39acd48a · outbound

This paper cites On the chatter frequencies of milling processes with runout,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping On the chatter frequencies of milling processes with runout,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.880926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.607904Z digest=sha256:990733000ea5d966cf9bae19a4ddd51e4284825aec4e1d44c7bb143ae24dfba5

Observation a58a8b56-0740-41c8-932a-dc9b5d70ec34 · outbound

This paper cites Using dynamic time warping to find patterns in time series.,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Using dynamic time warping to find patterns in time series.,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.864355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.613818Z digest=sha256:272f6ac019ba375ee742da49b007dfb46a24dd21554b27110b49ef802d3fe77c

Observation b5258a7c-3da9-4958-bf63-ed9fa2e2979f · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Dynamic programming algorithm optimization for spoken word recognition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.849011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.618514Z digest=sha256:e5558c9e558ca5ed5ccf1071f617632483ab3a40dfb8363dc80935a904a26496

Observation 4d9f4457-2a07-43a3-9fa6-dd05449c136d · outbound

This paper cites Toward accurate dynamic time warping in linear time and space,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Toward accurate dynamic time warping in linear time and space,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.833366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.623098Z digest=sha256:e3d7af7c4840e76fdda90ca034fab887c4dccb4bfff8ce19e9f3f52767bd6071

Observation c4ba3350-9eae-43af-afcf-a0afcbfb60ba · outbound

This paper cites Feature selection,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Feature selection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.817302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.627227Z digest=sha256:b20dec35a9c2c5cc7db5fdfc570ae07738d0e909e4589f426055c27c1ad6f5cb

Observation 0fb2c933-e399-4bfe-ab6f-c1cb878fd497 · outbound

This paper cites The distance-weighted k-nearest-neighbor rule,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping The distance-weighted k-nearest-neighbor rule,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.801286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.632729Z digest=sha256:b45005f6c3f0d0fcafad062e526cfe89270510cb92cb0d11585fb5fc342f9835

Observation c87dba60-1a42-4730-a229-2c01ada94688 · outbound

This paper cites Relational instance-based learning with lists and terms,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Relational instance-based learning with lists and terms,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.785021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.637793Z digest=sha256:d06190a826b62bb424f2d1b9dfc48867c627d38ec3fc303cf1b2f58a0b519819

Observation c015dbdb-5d66-41c9-ad24-373243979709 · outbound

This paper cites Searching and mining trillions of time series subsequences under dynamic time warping,.

Chatter Detection in Turning Using Machine Learning and Similarity Measures of Time Series via Dynamic Time Warping Searching and mining trillions of time series subsequences under dynamic time warping,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:09:49.768386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:09:49.643716Z digest=sha256:01b8ee9c5d60533e2a83e06f4f6233f9e55fae50d87271dfd65e4ad77efef06f

Pith citing papers

No inbound Pith citation observations are available.