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- 01HET1STCGDJVZWYK0WSJWNRYK classification C1.
- 01HET1STCGDJVZWYK0WSJWNRYK date "2023".
- 01HET1STCGDJVZWYK0WSJWNRYK language "eng".
- 01HET1STCGDJVZWYK0WSJWNRYK type conference.
- 01HET1STCGDJVZWYK0WSJWNRYK hasPart 01HET2FZQKJVQZB0Z8ENBF7NXT.pdf.
- 01HET1STCGDJVZWYK0WSJWNRYK subject "Technology and Engineering".
- 01HET1STCGDJVZWYK0WSJWNRYK doi "10.1007/978-3-031-39965-7_40".
- 01HET1STCGDJVZWYK0WSJWNRYK isbn "9783031399640".
- 01HET1STCGDJVZWYK0WSJWNRYK isbn "9783031399657".
- 01HET1STCGDJVZWYK0WSJWNRYK issn "0302-9743".
- 01HET1STCGDJVZWYK0WSJWNRYK issn "1611-3349".
- 01HET1STCGDJVZWYK0WSJWNRYK presentedAt urn:uuid:f5c44903-8765-4fb6-9ac2-73b4e63e4d9b.
- 01HET1STCGDJVZWYK0WSJWNRYK volume "14069".
- 01HET1STCGDJVZWYK0WSJWNRYK abstract "Finding suitable mechanisms whereby rationale behind support vector machine (SVM) predictions can be known and understood without substantial difficulties is an ongoing challenge. Aiming to find such a mechanism, we look into the contextualization of SVM models. Hence, we propose a novel explainable SVM classifier that makes use of a parallel arrangement of contextualized SVM models for offering predictions that depend on a particular event, situation or idea. The proposed classifier allows decision makers to state in a clear manner the context of the predictions they would like to be offered. This aspect is deemed to be important since decision makers can take advantage of the improvement in the interpretability of such contextualized predictions for making more informed decisions. The improvement in interpretability is illustrated through an example in which digitized handwritten vowels are contextually identified. Another example where hand gestures are recognized by means of electromyography (EMG) signals shows how the proposed classifier can also improve the accuracy of the resulting models.".
- 01HET1STCGDJVZWYK0WSJWNRYK author 3CA90A52-F0EE-11E1-A9DE-61C894A0A6B4.
- 01HET1STCGDJVZWYK0WSJWNRYK author 57433FC8-26F7-11E3-ABCA-E97710BDE39D.
- 01HET1STCGDJVZWYK0WSJWNRYK author F4F68EFA-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HET1STCGDJVZWYK0WSJWNRYK dateCreated "2023-11-09T12:44:35Z".
- 01HET1STCGDJVZWYK0WSJWNRYK dateModified "2024-12-12T19:15:07Z".
- 01HET1STCGDJVZWYK0WSJWNRYK editor urn:uuid:06ab92ac-c197-433e-93df-ef1a5d2a7b2d.
- 01HET1STCGDJVZWYK0WSJWNRYK editor urn:uuid:9a2ec21e-8e9b-4364-9a86-ddb10791a6f2.
- 01HET1STCGDJVZWYK0WSJWNRYK editor urn:uuid:af8b5349-45ff-42ac-90a9-db06882d1b59.
- 01HET1STCGDJVZWYK0WSJWNRYK editor urn:uuid:f4dda3d9-3c71-4b1c-b12d-4baf97109a1e.
- 01HET1STCGDJVZWYK0WSJWNRYK name "Contextual boosting to explainable SVM classification".
- 01HET1STCGDJVZWYK0WSJWNRYK pagination urn:uuid:42c09f41-94a6-4828-aeeb-5e20861444d9.
- 01HET1STCGDJVZWYK0WSJWNRYK publisher urn:uuid:a3bf2bbb-80a9-4d43-bf4a-9bfbaae80b43.
- 01HET1STCGDJVZWYK0WSJWNRYK sameAs LU-01HET1STCGDJVZWYK0WSJWNRYK.
- 01HET1STCGDJVZWYK0WSJWNRYK sourceOrganization urn:uuid:7091b08c-a544-4fa2-a9e8-ef59ebe42d76.
- 01HET1STCGDJVZWYK0WSJWNRYK type C1.