The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
2021-01-01 Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe
Modelling scenarios of diffusion and control of pandemic influenza, Italy
2007-01-01 Marta Luisa Ciofi degli, Atti; Caterina, Rizzo; Antonino, Bella; Marco, Massari; Mimmo, Iannelli; Antonella, Lunelli; Andrea, Pugliese; Jordi, Ripoll; Piero, Manfredi; Giampaolo Scalia, Tomba; Merler, Stefano; Jurman, Giuseppe; Furlanello, Cesare
Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel
2006-01-01 Merler, S; Jurman, G
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation
2021-01-01 Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment
2021-01-01 Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe
Algebraic Comparison of Partial Lists in Bioinformatics
2012-01-01 Jurman, G; Riccadonna, S; Visintainer, R; Furlanello, C
Phylogenetic convolutional neural networks in metagenomics
2018-01-01 Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma
2020-01-01 Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio; De Vi-to, Rita; Boldrini, Renata; Cifaldi, Loredana; Castellano, Aurora; Furlanello, Cesare; Barnaba, Vincenzo; Locatelli, Franco; Furci, Doriana
Forecasting daily total pollen concentrations on a global scale
2024-01-01 Makra, László; Coviello, Luca; Gobbi, Andrea; Jurman, Giuseppe; Furlanello, Cesare; Brunato, Mauro; Ziska, Lewis H; Hess, Jeremy J; Damialis, Athanasios; Garcia, Maria Pilar Plaza; Tusnády, Gábor; Czibolya, Lilit; Ihász, István; Deák, Áron József; Mikó, Edit; Dorner, Zita; Harry, Susan K; Bruffaerts, Nicolas; Packeu, Ann; Saarto, Annika; Toiviainen, Linnea; Louna-Korteniemi, Maria; Pätsi, Sanna; Thibaudon, Michel; Oliver, Gilles; Charalampopoulos, Athanasios; Vokou, Despoina; Przedpelska-Wasowicz, Ewa Maria; Guðjohnsen, Ellý Renée; Bonini, Maira; Celenk, Sevcan; Ozaslan, Cumali; Oh, Jae-Won; Sullivan, Krista; Ford, Linda; Kelly, Michelle; Levetin, Estelle; Myszkowska, Dorota; Severova, Elena; Gehrig, Regula; Calderón-Ezquerro, María Del Carmen; Guerra, César Guerrero; Leiva-Guzmán, Manuel Andres; Ramón, Germán Darío; Barrionuevo, Laura Beatriz; Peter, Jonny; Berman, Dilys; Katelaris, Connie H; Davies, Janet M; Burton, Pamela; Beggs, Paul J; Vergamini, Sandra María; Valencia-Barrera, Rosa María; Traidl-Hoffmann, Claudia
DTW-MIC Coexpression Networks from Time-Course Data
2016-01-01 Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis
2021-01-01 Chicco, Davide; Jurman, Giuseppe
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes–Mallows index
2023-01-01 Chicco, Davide; Jurman, Giuseppe
Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation
2015-01-01 D., Fay; A. W., Moore; K., Brown; Filosi, Michele; Jurman, Giuseppe
Quotients of maximal class of thin Lie algebras. The case of characteristic two
1999-01-01 Jurman, G
Repeatability of published microarray gene expression analyses
2009-01-01 John P. A., Ioannidis; D. B., Allison; C. A., Ball; I., Coulibaly; X., Cui; A. C., Culhane; M., Falchi; Furlanello, Cesare; L., Game; Jurman, Giuseppe; T., Mehta; J., Mangion; M., Nitzberg; G. P., Page; E., Petretto; V., Van Noort
Multilayer flows in molecular networks identify biological modules in the human proteome
2020-01-01 Mangioni, Giuseppe; Jurman, Giuseppe; De Domenico, Manlio
Diamonds in thin Lie algebras
2001-01-01 M., Avitabile; Jurman, G
Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment
2012-01-01 Di Camillo, B; Sanavia, T; Martini, M; Jurman, G; Sambo, F; Barla, A; Squillario, M; Furlanello, C; Toffolo, G; Cobelli, C
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study
2024-01-01 Malaguti, Maria Chiara; Gios, Lorenzo; Giometto, Bruno; Longo, Chiara; Riello, Marianna; Ottaviani, Donatella; Pellegrini, Maria; Di Giacopo, Raffaella; Donner, Davide; Rozzanigo, Umberto; Chierici, Marco; Moroni, Monica; Jurman, Giuseppe; Bincoletto, Giorgia; Pardini, Matteo; Bacchin, Ruggero; Nobili, Flavio; Di Biasio, Francesca; Avanzino, Laura; Marchese, Roberta; Mandich, Paola; Garbarino, Sara; Pagano, Mattia; Campi, Cristina; Piana, Michele; Marenco, Manuela; Uccelli, Antonio; Osmani, Venet
Integrative Network Fusion: a multi-omics approach in molecular profiling
2020-01-01 Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation | 1-gen-2021 | Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe | |
| Modelling scenarios of diffusion and control of pandemic influenza, Italy | 1-gen-2007 | Marta Luisa Ciofi degli, Atti; Caterina, Rizzo; Antonino, Bella; Marco, Massari; Mimmo, Iannelli; Antonella, Lunelli; Andrea, Pugliese; Jordi, Ripoll; Piero, Manfredi; Giampaolo Scalia, Tomba; Merler, Stefano; Jurman, Giuseppe; Furlanello, Cesare | |
| Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel | 1-gen-2006 | Merler, S; Jurman, G | |
| The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation | 1-gen-2021 | Chicco, Davide; Tötsch, Niklas; Jurman, Giuseppe | |
| The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment | 1-gen-2021 | Chicco, Davide; Warrens, Matthijs J.; Jurman, Giuseppe | |
| Algebraic Comparison of Partial Lists in Bioinformatics | 1-gen-2012 | Jurman, G; Riccadonna, S; Visintainer, R; Furlanello, C | |
| Phylogenetic convolutional neural networks in metagenomics | 1-gen-2018 | Fioravanti, Diego; Giarratano, Ylenia; Maggio, Valerio; Agostinelli, Claudio; Chierici, Marco; Jurman, Giuseppe; Furlanello, Cesare | |
| Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma | 1-gen-2020 | Melaiu, Ombretta; Chierici, Marco; Lucarini, Valeria; Jurman, Giuseppe; Conti, Libenzio; De Vi-to, Rita; Boldrini, Renata; Cifaldi, Loredana; Castellano, Aurora; Furlanello, Cesare; Barnaba, Vincenzo; Locatelli, Franco; Furci, Doriana | |
| Forecasting daily total pollen concentrations on a global scale | 1-gen-2024 | Makra, László; Coviello, Luca; Gobbi, Andrea; Jurman, Giuseppe; Furlanello, Cesare; Brunato, Mauro; Ziska, Lewis H; Hess, Jeremy J; Damialis, Athanasios; Garcia, Maria Pilar Plaza; Tusnády, Gábor; Czibolya, Lilit; Ihász, István; Deák, Áron József; Mikó, Edit; Dorner, Zita; Harry, Susan K; Bruffaerts, Nicolas; Packeu, Ann; Saarto, Annika; Toiviainen, Linnea; Louna-Korteniemi, Maria; Pätsi, Sanna; Thibaudon, Michel; Oliver, Gilles; Charalampopoulos, Athanasios; Vokou, Despoina; Przedpelska-Wasowicz, Ewa Maria; Guðjohnsen, Ellý Renée; Bonini, Maira; Celenk, Sevcan; Ozaslan, Cumali; Oh, Jae-Won; Sullivan, Krista; Ford, Linda; Kelly, Michelle; Levetin, Estelle; Myszkowska, Dorota; Severova, Elena; Gehrig, Regula; Calderón-Ezquerro, María Del Carmen; Guerra, César Guerrero; Leiva-Guzmán, Manuel Andres; Ramón, Germán Darío; Barrionuevo, Laura Beatriz; Peter, Jonny; Berman, Dilys; Katelaris, Connie H; Davies, Janet M; Burton, Pamela; Beggs, Paul J; Vergamini, Sandra María; Valencia-Barrera, Rosa María; Traidl-Hoffmann, Claudia | |
| DTW-MIC Coexpression Networks from Time-Course Data | 1-gen-2016 | Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare | |
| An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis | 1-gen-2021 | Chicco, Davide; Jurman, Giuseppe | |
| A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes–Mallows index | 1-gen-2023 | Chicco, Davide; Jurman, Giuseppe | |
| Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation | 1-gen-2015 | D., Fay; A. W., Moore; K., Brown; Filosi, Michele; Jurman, Giuseppe | |
| Quotients of maximal class of thin Lie algebras. The case of characteristic two | 1-gen-1999 | Jurman, G | |
| Repeatability of published microarray gene expression analyses | 1-gen-2009 | John P. A., Ioannidis; D. B., Allison; C. A., Ball; I., Coulibaly; X., Cui; A. C., Culhane; M., Falchi; Furlanello, Cesare; L., Game; Jurman, Giuseppe; T., Mehta; J., Mangion; M., Nitzberg; G. P., Page; E., Petretto; V., Van Noort | |
| Multilayer flows in molecular networks identify biological modules in the human proteome | 1-gen-2020 | Mangioni, Giuseppe; Jurman, Giuseppe; De Domenico, Manlio | |
| Diamonds in thin Lie algebras | 1-gen-2001 | M., Avitabile; Jurman, G | |
| Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment | 1-gen-2012 | Di Camillo, B; Sanavia, T; Martini, M; Jurman, G; Sambo, F; Barla, A; Squillario, M; Furlanello, C; Toffolo, G; Cobelli, C | |
| Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study | 1-gen-2024 | Malaguti, Maria Chiara; Gios, Lorenzo; Giometto, Bruno; Longo, Chiara; Riello, Marianna; Ottaviani, Donatella; Pellegrini, Maria; Di Giacopo, Raffaella; Donner, Davide; Rozzanigo, Umberto; Chierici, Marco; Moroni, Monica; Jurman, Giuseppe; Bincoletto, Giorgia; Pardini, Matteo; Bacchin, Ruggero; Nobili, Flavio; Di Biasio, Francesca; Avanzino, Laura; Marchese, Roberta; Mandich, Paola; Garbarino, Sara; Pagano, Mattia; Campi, Cristina; Piana, Michele; Marenco, Manuela; Uccelli, Antonio; Osmani, Venet | |
| Integrative Network Fusion: a multi-omics approach in molecular profiling | 1-gen-2020 | Chierici, Marco; Bussola, Nicole; Marcolini, Alessia; Francescatto, Margherita; Zandonà, Alessandro; Trastulla, Lucia; Agostinelli, Claudio; Jurman, Giuseppe; Furlanello, Cesare |
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