fongenae

cascading-reasoning-framework

Repository on the Cascading Reasoning Framework

cyclists-monitoring

Code and data related to the research on how to give personalized real-time feedback to amateur cyclists on low-end devices, using Semantic Web technologies.

Folio-Ontology

GENDIS

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

GENESIM

An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

HeadacheDSS

Repository containing all code and data required to reproduce the experiments of 'A decision support system to follow up and diagnose chronic primary headache patients using semantically enriched data'

MASSIF

MCAppAnalysis

Code to reproduce the experiments and the proposed visualization from 'Data mining in the development of mHealth apps: assessing in-app navigation through Markov Chain analysis'

TPEHGDB-Experiments

Experiments conducted on the TPEHGDB dataset to reproduce the reported results from "A critical look at studies applying over-sampling on the TPEHGDB dataset"

Accio-Ontology

fongenae/cascading-reasoning-framework

Repository on the Cascading Reasoning Framework

fongenae/cyclists-monitoring

Code and data related to the research on how to give personalized real-time feedback to amateur cyclists on low-end devices, using Semantic Web technologies.

fongenae/Folio-Ontology

fongenae/GENDIS

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

fongenae/GENESIM

An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

fongenae/HeadacheDSS

Repository containing all code and data required to reproduce the experiments of 'A decision support system to follow up and diagnose chronic primary headache patients using semantically enriched data'

fongenae/MASSIF

fongenae/MCAppAnalysis

Code to reproduce the experiments and the proposed visualization from 'Data mining in the development of mHealth apps: assessing in-app navigation through Markov Chain analysis'

fongenae/TPEHGDB-Experiments

Experiments conducted on the TPEHGDB dataset to reproduce the reported results from "A critical look at studies applying over-sampling on the TPEHGDB dataset"