Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]
We report a new release of the self-explainable AutoML software AMLBID. The software package is a meta-learning based AutoML decision support system that assists machine learning(ML) experts and neophytes in building well performing ML pipelines and makes the outcomes transparent and interpretable....
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-07-01
|
| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023001401 |
| _version_ | 1797777089928101888 |
|---|---|
| author | Moncef Garouani Mourad Bouneffa Adeel Ahmad Mohamed Hamlich |
| author_facet | Moncef Garouani Mourad Bouneffa Adeel Ahmad Mohamed Hamlich |
| author_sort | Moncef Garouani |
| collection | DOAJ |
| description | We report a new release of the self-explainable AutoML software AMLBID. The software package is a meta-learning based AutoML decision support system that assists machine learning(ML) experts and neophytes in building well performing ML pipelines and makes the outcomes transparent and interpretable. The release 2.0 of the software introduces an enhanced efficiency of algorithms recommendation. The performance improvement is mainly achieved by the integration of the AeKNN meta-model. This implementation makes datasets meta-features more informative and further improve the accuracy. The release 2.0 also introduces the standalone AMLBIDesc, a desktop version of the AMLBID software which makes the tool more accessible to non-expert users. |
| first_indexed | 2024-03-12T23:00:09Z |
| format | Article |
| id | doaj.art-ca71151924284f43a3e5c70630202494 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-12T23:00:09Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-ca71151924284f43a3e5c706302024942023-07-19T14:40:34ZengElsevierSoftwareX2352-71102023-07-0123101444Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]Moncef Garouani0Mourad Bouneffa1Adeel Ahmad2Mohamed Hamlich3Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale, F-62100 Calais, France; CCPS Laboratory, ENSAM, University of Hassan II, Casablanca, Morocco; Study and Research Center for Engineering and Management(CERIM), HESTIM, Casablanca, Morocco; Corresponding author at: Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale, F-62100 Calais, France.Univ. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale, F-62100 Calais, FranceUniv. Littoral Cote d’Opale, UR 4491, LISIC, Laboratoire d’Informatique Signal et Image de la Cote d’Opale, F-62100 Calais, FranceCCPS Laboratory, ENSAM, University of Hassan II, Casablanca, MoroccoWe report a new release of the self-explainable AutoML software AMLBID. The software package is a meta-learning based AutoML decision support system that assists machine learning(ML) experts and neophytes in building well performing ML pipelines and makes the outcomes transparent and interpretable. The release 2.0 of the software introduces an enhanced efficiency of algorithms recommendation. The performance improvement is mainly achieved by the integration of the AeKNN meta-model. This implementation makes datasets meta-features more informative and further improve the accuracy. The release 2.0 also introduces the standalone AMLBIDesc, a desktop version of the AMLBID software which makes the tool more accessible to non-expert users.http://www.sciencedirect.com/science/article/pii/S2352711023001401Machine learningAutoMLMeta-learningDecision-support systemsExplainable AI |
| spellingShingle | Moncef Garouani Mourad Bouneffa Adeel Ahmad Mohamed Hamlich Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] SoftwareX Machine learning AutoML Meta-learning Decision-support systems Explainable AI |
| title | Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] |
| title_full | Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] |
| title_fullStr | Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] |
| title_full_unstemmed | Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] |
| title_short | Version [2.0] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data] |
| title_sort | version 2 0 amlbid an auto explained automated machine learning tool for big industrial data |
| topic | Machine learning AutoML Meta-learning Decision-support systems Explainable AI |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023001401 |
| work_keys_str_mv | AT moncefgarouani version20amlbidanautoexplainedautomatedmachinelearningtoolforbigindustrialdata AT mouradbouneffa version20amlbidanautoexplainedautomatedmachinelearningtoolforbigindustrialdata AT adeelahmad version20amlbidanautoexplainedautomatedmachinelearningtoolforbigindustrialdata AT mohamedhamlich version20amlbidanautoexplainedautomatedmachinelearningtoolforbigindustrialdata |