PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.
<p>PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.</p>
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2025
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| _version_ | 1852017818714767360 |
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| author | Gursimran Singh (575288) |
| author2 | Aviral Chharia (22001788) Rahul Upadhyay (2632240) Vinay Kumar (178313) Luca Longo (474781) |
| author2_role | author author author author |
| author_facet | Gursimran Singh (575288) Aviral Chharia (22001788) Rahul Upadhyay (2632240) Vinay Kumar (178313) Luca Longo (474781) |
| author_role | author |
| dc.creator.none.fl_str_mv | Gursimran Singh (575288) Aviral Chharia (22001788) Rahul Upadhyay (2632240) Vinay Kumar (178313) Luca Longo (474781) |
| dc.date.none.fl_str_mv | 2025-08-06T17:38:47Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0327791.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/PyNoetic_s_classification_module_supports_a_range_of_popular_and_widely_used_ML_classification_models_with_just_a_single_line_of_function_call_/29846557 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Neuroscience Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> electroencephalography wise flexibility essential steep learning curves place configurable flowchart machine learning models inclusive features leading elevated costs due applications spanning robotics minimal programming experience pynoetic also includes pynoetic &# 8217 modular python framework end gui coupled time bci development code bci design code development bci development minimal coding bci research design process pynoetic introduces present pynoetic virtual reality unique pick transformative technology thus accelerate strengths lie stimulus presentation seamless integration rich array proprietary software novel paradigms novel algorithms intricate aspects finally simulation feature extraction experimental research evaluation methods ensuring adaptability diverse needs data acquisition custom functionalities connectivity indices computer interfaces channel selection artifact removal analytical tools advanced users |
| dc.title.none.fl_str_mv | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_984cebbd8f3130e5eaa6df0e2ec00db5 |
| identifier_str_mv | 10.1371/journal.pone.0327791.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29846557 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.Gursimran Singh (575288)Aviral Chharia (22001788)Rahul Upadhyay (2632240)Vinay Kumar (178313)Luca Longo (474781)MedicineCell BiologyNeuroscienceScience PolicySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> electroencephalographywise flexibility essentialsteep learning curvesplace configurable flowchartmachine learning modelsinclusive features leadingelevated costs dueapplications spanning roboticsminimal programming experiencepynoetic also includespynoetic &# 8217modular python frameworkend gui coupledtime bci developmentcode bci designcode developmentbci developmentminimal codingbci researchdesign processpynoetic introducespresent pynoeticvirtual realityunique picktransformative technologythus acceleratestrengths liestimulus presentationseamless integrationrich arrayproprietary softwarenovel paradigmsnovel algorithmsintricate aspectsfinally simulationfeature extractionexperimental researchevaluation methodsensuring adaptabilitydiverse needsdata acquisitioncustom functionalitiesconnectivity indicescomputer interfaceschannel selectionartifact removalanalytical toolsadvanced users<p>PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call.</p>2025-08-06T17:38:47ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0327791.g008https://figshare.com/articles/figure/PyNoetic_s_classification_module_supports_a_range_of_popular_and_widely_used_ML_classification_models_with_just_a_single_line_of_function_call_/29846557CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/298465572025-08-06T17:38:47Z |
| spellingShingle | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. Gursimran Singh (575288) Medicine Cell Biology Neuroscience Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> electroencephalography wise flexibility essential steep learning curves place configurable flowchart machine learning models inclusive features leading elevated costs due applications spanning robotics minimal programming experience pynoetic also includes pynoetic &# 8217 modular python framework end gui coupled time bci development code bci design code development bci development minimal coding bci research design process pynoetic introduces present pynoetic virtual reality unique pick transformative technology thus accelerate strengths lie stimulus presentation seamless integration rich array proprietary software novel paradigms novel algorithms intricate aspects finally simulation feature extraction experimental research evaluation methods ensuring adaptability diverse needs data acquisition custom functionalities connectivity indices computer interfaces channel selection artifact removal analytical tools advanced users |
| status_str | publishedVersion |
| title | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| title_full | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| title_fullStr | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| title_full_unstemmed | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| title_short | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| title_sort | PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. |
| topic | Medicine Cell Biology Neuroscience Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> electroencephalography wise flexibility essential steep learning curves place configurable flowchart machine learning models inclusive features leading elevated costs due applications spanning robotics minimal programming experience pynoetic also includes pynoetic &# 8217 modular python framework end gui coupled time bci development code bci design code development bci development minimal coding bci research design process pynoetic introduces present pynoetic virtual reality unique pick transformative technology thus accelerate strengths lie stimulus presentation seamless integration rich array proprietary software novel paradigms novel algorithms intricate aspects finally simulation feature extraction experimental research evaluation methods ensuring adaptability diverse needs data acquisition custom functionalities connectivity indices computer interfaces channel selection artifact removal analytical tools advanced users |