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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.434403Z digest=sha256:e3d53847774897f99e4aee1567734b1e10a6cfaf3d9993d30bbe8f51cffe70cb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.439765Z digest=sha256:441966e7085db6293807faa60ce9e4592034f5ada328b069dab31c05590d3ae6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.445135Z digest=sha256:5e6448b2127ee2fc762fff6c10ebf0a0725a3472aaa75c2a5eed0dee1cb6a6e4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.450428Z digest=sha256:bae200ec7f60161464dee75d25d953822e6d1b4f830691164d70b3fa85dd034f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.455553Z digest=sha256:d1076ef6dec2c7bdf3056080665738f41c1a26ee9509ee2a23dd8b20fe230cb6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.460432Z digest=sha256:7f0daf70bf8195bdd45da908a3dcb2cadf93a0f58606eb02a1e167a59153728d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.465735Z digest=sha256:f35afe12942307712cb410def49266ca442dbab58bccff7806a3847cd65e432f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.471496Z digest=sha256:a32fabac6f68ad179090ef8982d087c0bf960611ffecb2bd06c2d971d1fcba2a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.476125Z digest=sha256:b250b8c1a6089b7bcafb02dc04bcdc528b4f59f4ab78d5edadcf99be2cd88c10

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.481703Z digest=sha256:dab50871b28e2debbd8b4a84d67560ff48774fab0e48d092b84e58775ac1c9aa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.487575Z digest=sha256:7bc2109f3fa9b57566bb9c5237c570c833e2ea605ffcd7d35b4d4376ac2e4c9d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.492758Z digest=sha256:e3f1f1e33b18e17a96dc28780f5bc5c8ed5ce7ae8f22c40f5b3b55b16e8ad14a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.497432Z digest=sha256:16eac957a733e3c2e744bed853932bc6dddcf162733cbca0f8234b6f02fafe75

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.503964Z digest=sha256:fba28f0613baace7d035b704f10b346822bd3e264d5b91ff0ee791c121220ebf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.508616Z digest=sha256:31f0ce199bd241d35a9d5da62059046479943b6088645fcd051994c5b459e5dc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.513365Z digest=sha256:74a97da6971e820a4dcddc7d732b445fbd449ff65d1719436fa1167f2a4bda4d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.518833Z digest=sha256:40e9c90db511cc402b489340a06dfae95b1a0708cbc4d5e5c66ad43ce009e9f9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.523539Z digest=sha256:1bbdfee08ea9fe8188f970e842e5fece183b922c045174b2f9eaa30b3bd50e3a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.529079Z digest=sha256:527f4784b7ba79ae0dadb285cbc45331d780b66b6b019218e675633b483510c1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.533568Z digest=sha256:9d864d03770ce86521cff665ac3cd4124c6ea17c87ba76fee7ad0e737a5c3bcf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.538552Z digest=sha256:81273c963229efeb683a426591b6a7bf49ae784470c0ababa18b9e76834385ba

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.543408Z digest=sha256:0a9c598ad7fe8178b8806fe3c45c240c1d9178a2dbc07deae15b70a3ca14a341

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.547867Z digest=sha256:e2acdaf35d8af8b1ffa1c4ac494cb3c4e8d3909a71e66f05e0eb244a93eb66be

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.552540Z digest=sha256:7988bc42b76a3ed7dc186a7130cc52f7cdcfff82ef78419838f041132a35a696

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.557262Z digest=sha256:84913345d7d1f6e6d234c99294f7103cb649d101cfaedf575e8f8e242bb00b52

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.561966Z digest=sha256:68f034e338b39f703dcc4e6b89bbcb4b961e8cf943a078e2322cf17ab891aef2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.566980Z digest=sha256:bdb8edcfc50b86a1c961e75a4cfa320f80374dd8a6e15ca0cd3c339058d9d32e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.572766Z digest=sha256:117b0dac45fc841f217e509f3031446d4a102e5d0822a63323f5ce85cd65f33f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.578436Z digest=sha256:0ab9424e04d140044846e100a47442e42e29349f658cc99f00cdd90bedabdfbe

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.582835Z digest=sha256:4123f4c9933d7e4d50c5a41e78672b74c1f9fcf6fc22c8690844b3e9aa168045

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.587400Z digest=sha256:bfccfce978c0595020ab1ed072f29c8ce437775c7c8d3bfe3315e0f5fa7197f7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.592311Z digest=sha256:de01fb74a6f8aeab5af02e7cfcd35591fa966a7d2b7997c87ed04dcb4f02d1b7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.597014Z digest=sha256:450562c7abea4f254163e07ed6ea5ccfd26e5c10c920fee1755b7e940f4a6f6a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.602676Z digest=sha256:aaa8d3f51a63b926bfd1cc93087dd0800bf1877752a74e43c6f8bdefcd2a33f3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.607904Z digest=sha256:69131dd6625a51ff5349c1f613e93e669506b7ec01cf8483426612d2f9db3334

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.613818Z digest=sha256:1623c1e50e814c46465248a089c2499f87699e676b65cf1419835a92dee0fa44

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.618514Z digest=sha256:669c9e8f9214705dae6cade0d951c43db3dfc7a75f7f1012b6487f5a9add6750

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.623098Z digest=sha256:18ff64ab34e897efbf42e0d7bb2f238592f919349995780a16fdf7ca165ddc92

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.627227Z digest=sha256:287a8e89894ebc4f9d89c34551a584ee499c61a493322ba67ef229f60b280eb6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.632729Z digest=sha256:d2d25b16a320246ee165a1ef26eaecd583b93a37100bd1d438fe9015428d3717

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.637793Z digest=sha256:12348b7de44a6f28a5fb6289e41f1fc1d35a497b9f7ac72ff1b22e285928b0a5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T15:09:49.643716Z digest=sha256:1677e8634ccaaddeb02d0cba7265142cd9f0dbe02d84490bbce959f58df34d4d

Pith citing papers

No inbound Pith citation observations are available.