Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:48:50.600357Z
Paper Citation Record · LEDGER
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer
As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2501.10980.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
46 of 46 outbound references displayed
- verified exact3
- verified fuzzy24
- unresolved19
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 674578c1-bc9c-4bdb-96ea-5f96d5d58432 · outbound
This paper cites Performance analysis of various machine learning -based approaches for detection and classification of lung cancer in humans,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Performance analysis of various machine learning -based approaches for detection and classification of lung cancer in humans,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.461168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 356ade9e-0080-4571-82b5-6759828c3be7 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.442706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8df96906-15ea-4f7a-b240-2ef5be3f9f90 · outbound
This paper cites Prediction lung cancer–in machine learning perspective,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Prediction lung cancer–in machine learning perspective,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.426189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 62f30b98-768e-452c-beeb-1e5734e0a229 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.406581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 222d9444-e8f3-416e-b982-bd4479a162b5 · outbound
This paper cites Predicting outcomes of nonsmall cell lung cancer using CT image features,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Predicting outcomes of nonsmall cell lung cancer using CT image features,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.389100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fbec45df-7b1e-4ae5-8a2d-b574280440cd · outbound
This paper cites M., Barari, M., & Zarrabi, H.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer M., Barari, M., & Zarrabi, H
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.371461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ac9c7145-3aea-4489-a7de-9b191f34fe06 · outbound
This paper cites Multi -stage lung cancer detection and prediction using multi -class svm classifie,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Multi -stage lung cancer detection and prediction using multi -class svm classifie,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.352699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 319faaaa-3292-4281-9b7f-572b505f98b4 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.335806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 54feefd4-1160-47bc-a494-2b5457686669 · outbound
This paper cites AI -based smart prediction of clinical disease using random forest classifier and Naive Bayes,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer AI -based smart prediction of clinical disease using random forest classifier and Naive Bayes,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.319440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fc031d6c-b5e2-445e-bc61-d079554f3c4b · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.304001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2070870c-bd20-4560-8ae4-02cdff1626d2 · outbound
This paper cites Early lung cancer detection using nucleus segementation based features,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Early lung cancer detection using nucleus segementation based features,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.288667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a9b31105-da88-497e-b4e1-885342cf5eef · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.271394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dd5253f6-6e2e-4fdf-a7ec-91833007a1c8 · outbound
This paper cites Using an hebbian learning rule for multi-class svm classifiers,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Using an hebbian learning rule for multi-class svm classifiers,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.254516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7215dcbe-537e-4f9c-953e-b7ee1c739a65 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.237714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 945ef75d-53a0-472b-a9eb-6ca11e2530f9 · outbound
This paper cites Nonlinear component analysis as a kernel eigenvalue problem,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Nonlinear component analysis as a kernel eigenvalue problem,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.221022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8f4e1497-e356-4db5-b940-da885dad9ce3 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.204578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 89d58bfa-8e14-4191-a854-7fc32720d1e4 · outbound
This paper cites Cristianini and J.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Cristianini and J
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.188897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c541928b-d814-41bd-b008-ba9cf2d03127 · outbound
This paper cites J., & Mirzaei, A.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer J., & Mirzaei, A
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.172055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8dac0a2f-2876-4311-93a0-b02e0c3ed165 · outbound
This paper cites Fuzzy kernel k - medoids algorithm for multiclass multidimensional data classification,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Fuzzy kernel k - medoids algorithm for multiclass multidimensional data classification,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.155598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 09c9b259-f858-4015-aaf3-93204c0d5b1d · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.138293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a0d65f3-6fb0-46ee-b85b-81f0b56eb702 · outbound
This paper cites Development of two -stage SVM -RFE gene selection strategy for microarray expression data analysis,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Development of two -stage SVM -RFE gene selection strategy for microarray expression data analysis,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.120228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa14e1e2-6bb9-4497-a20d-78049f156a5b · outbound
This paper cites An Optimized Multi-Layer Resource Management in Mobile Edge Computing Networks: A Joint Computation Offloading and Caching Solution.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer An Optimized Multi-Layer Resource Management in Mobile Edge Computing Networks: A Joint Computation Offloading and Caching Solution
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:48:50.704042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 44420b3f-b5c9-46fa-b132-174e6a42cc0d · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.102710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4245ed4e-4ad4-4ec2-b1cc-9ef24082714a · outbound
This paper cites Multiple SVM -RFE for gene selection in cancer classification with expression data,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Multiple SVM -RFE for gene selection in cancer classification with expression data,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.084190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 70dfa637-b76a-4564-a0a0-01f4375c6e4b · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:51.065699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ecbbd1f0-d5ac-41ce-904f-2abc36d69dca · outbound
This paper cites Scheduling algorithm for bidirectional LPT.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Scheduling algorithm for bidirectional LPT
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.040339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0ec54405-a3e2-4116-b96f-69ea0cf1029c · outbound
This paper cites Recursive fuzzy granulation for gene subsets extraction and cancer classification,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Recursive fuzzy granulation for gene subsets extraction and cancer classification,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:51.017854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6ab995c9-ef85-4d71-840b-f18619a8170c · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.999412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c2cf0075-e0fd-4175-8546-7208fb8fe7de · outbound
This paper cites Gene selection for cancer classification using support vector machines,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Gene selection for cancer classification using support vector machines,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.981497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 41b86efc-332a-4ffa-b422-7522cd82ada3 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.963480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b264591d-4f8e-4160-bda4-ab2f3ad9cb23 · outbound
This paper cites & Mirzapour, R.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer & Mirzapour, R
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.945417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fae78f8c-5e74-493d-87ff-ceeb8cfa6fe5 · outbound
This paper cites Comparison of support vector machine recursive feature elimination and kernel function as feature selection using support vector machine for lung cancer classification,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Comparison of support vector machine recursive feature elimination and kernel function as feature selection using support vector machine for lung cancer classification,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.928614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f7cb6534-6479-44d8-93fd-022f7d3e4bff · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.910465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 735a1fc8-e047-4351-9c54-01748605eec7 · outbound
This paper cites Application of machine learning techniques for the diagnosis of lung cancer with ANT colony optimization,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Application of machine learning techniques for the diagnosis of lung cancer with ANT colony optimization,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.894713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1d6d8b76-32f2-4293-9acf-b0a83c4dd217 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.877854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b4369296-bff9-4f1b-b749-e86ec9ae4d38 · outbound
This paper cites Early Detection of Lung Cancer from CT Scan Images Using Binarization Technique,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Early Detection of Lung Cancer from CT Scan Images Using Binarization Technique,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.861300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 683a1c5e-3a1b-45ed-844e-ff9e6defa375 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.842508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d5304baa-12f4-403d-98bf-73c588768580 · outbound
This paper cites Feature selection using stochastic diffusion search,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Feature selection using stochastic diffusion search,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.824457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6ec86caf-5ae0-4b6d-b380-ddcbb895b6ed · outbound
This paper cites A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks Using Beamforming Techniques.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer A Novel Approach for Establishing Connectivity in Partitioned Mobile Sensor Networks Using Beamforming Techniques
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:48:50.679787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 715290ac-ccd0-44ec-95cf-5955e44765b2 · outbound
This paper cites Comparative study of K -NN, naive Bayes and decision tree classification techniques,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Comparative study of K -NN, naive Bayes and decision tree classification techniques,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.806798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a012e0f4-a5e3-4f0f-98fc-0f34aeb29865 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.787609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e124582d-4943-4a8b-bcd1-42b05a23831f · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.770834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d96bf4c-29a4-4cc4-ab20-91116eef066f · outbound
This paper cites Lung cancer prediction using feed forward back propagation neural networks with optimal features,.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Lung cancer prediction using feed forward back propagation neural networks with optimal features,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T18:48:50.753634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9045b39a-f111-4de1-bdba-f04bfee78f68 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.736633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0806311d-3bea-4e89-8ec7-a44dcc219049 · outbound
This paper cites an unresolved cited work.
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T18:48:50.720438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a27532cf-2a7f-4132-b7ee-c098647a3a47 · outbound
This paper cites Presenting a new approach in security in inter-vehicle networks (VANET).
An analysis of the combination of feature selection and machine learning methods for an accurate and timely detection of lung cancer Presenting a new approach in security in inter-vehicle networks (VANET)
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:48:50.653095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.