An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence
2022-01-01 Chicco, D.; Jurman, G.
Quotients of maximal class of thin {Lie} algebras: the odd characteristic case
1999-01-01 Andrea, Caranti; Jurman, G.
Combining feature selection and DTW for time-varying functional genomics
2006-01-01 Furlanello, C; Merler, S; Jurman, G
Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue
2023-01-01 Minnai, Francesca; Noci, Sara; Chierici, Marco; Cotroneo, Chiara; Bartolini, Barbara; Incarbone, Matteo; Tosi, Davide; Mattioni, Giovanni; Jurman, Giuseppe; Dragani, Tommaso A.; Colombo, Francesca
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease
2021-01-01 Chicco, Davide; Jurman, Giuseppe
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting
2020-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Pendesini, Marta; Jurman, Giuseppe; Furlanello, Cesare
Combining feature selection and DTW for time-varying functional genomics
2006-01-01 Furlanello, Cesare; Merler, Stefano; Jurman, Giuseppe
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020-01-01 Chicco, Davide; Jurman, Giuseppe
A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe
2023-01-01 Makra, László; Matyasovszky, István; Tusnády, Gábor; Ziska, Lewis H; Hess, Jeremy J; Nyúl, László G; Chapman, Daniel S; Coviello, Luca; Gobbi, Andrea; Jurman, Giuseppe; Furlanello, Cesare; Brunato, Mauro; Damialis, Athanasios; Charalampopoulos, Athanasios; Müller-Schärer, Heinz; Schneider, Norbert; Szabó, Bence; Sümeghy, Zoltán; Páldy, Anna; Magyar, Donát; Bergmann, Karl-Christian; Deák, Áron József; Mikó, Edit; Thibaudon, Michel; Oliver, Gilles; Albertini, Roberto; Bonini, Maira; Šikoparija, Branko; Radišić, Predrag; Josipović, Mirjana Mitrović; Gehrig, Regula; Severova, Elena; Shalaboda, Valentina; Stjepanović, Barbara; Ianovici, Nicoleta; Berger, Uwe; Seliger, Andreja Kofol; Rybníček, Ondřej; Myszkowska, Dorota; Dąbrowska-Zapart, Katarzyna; Majkowska-Wojciechowska, Barbara; Weryszko-Chmielewska, Elzbieta; Grewling, Łukasz; Rapiejko, Piotr; Malkiewicz, Malgorzata; Šaulienė, Ingrida; Prykhodo, Olexander; Maleeva, Anna; Rodinkova, Victoria; Palamarchuk, Olena; Ščevková, Jana; Bullock, James M
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
2020-01-01 Chicco, Davide; Jurman, Giuseppe
A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
2021-01-01 Jones, Wendell; Gong, Binsheng; Novoradovskaya, Natalia; Li, Dan; Kusko, Rebecca; Richmond, Todd A.; Johann, Donald J.; Bisgin, Halil; Sahraeian, Sayed Mohammad Ebrahim; Bushel, Pierre R.; Pirooznia, Mehdi; Wilkins, Katherine; Chierici, Marco; Bao, Wenjun; Basehore, Lee Scott; Lucas, Anne Bergstrom; Burgess, Daniel; Butler, Daniel J.; Cawley, Simon; Chang, Chia-Jung; Chen, Guangchun; Chen, Tao; Chen, Yun-Ching; Craig, Daniel J.; del Pozo, Angela; Foox, Jonathan; Francescatto, Margherita; Fu, Yutao; Furlanello, Cesare; Giorda, Kristina; Grist, Kira P.; Guan, Meijian; Hao, Yingyi; Happe, Scott; Hariani, Gunjan; Haseley, Nathan; Jasper, Jeff; Jurman, Giuseppe; Kreil, David Philip; Łabaj, Paweł; Lai, Kevin; Li, Jianying; Li, Quan-Zhen; Li, Yulong; Li, Zhiguang; Liu, Zhichao; López, Mario Solís; Miclaus, Kelci; Miller, Raymond; Mittal, Vinay K.; Mohiyuddin, Marghoob; Pabón-Peña, Carlos; Parsons, Barbara L.; Qiu, Fujun; Scherer, Andreas; Shi, Tieliu; Stiegelmeyer, Suzy; Suo, Chen; Tom, Nikola; Wang, Dong; Wen, Zhining; Wu, Leihong; Xiao, Wenzhong; Xu, Chang; Yu, Ying; Zhang, Jiyang; Zhang, Yifan; Zhang, Zhihong; Zheng, Yuanting; Mason, Christopher E.; Willey, James C.; Tong, Weida; Shi, Leming; Xu, Joshua
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging
2022-01-01 Chierici, Marco; Puica, Nicolae; Pozzi, Matteo; Capistrano, Antonello; Dorian Donzella, Marcello; Colangelo, Antonio; Osmani, Venet; Jurman, Giuseppe
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
2014-01-01 Wang, C; Gong, Bs; Bushel, Pr; Thierry-Mieg, J; Thierry-Mieg, D; Xu, Js; Fang, H; Hong, Hx; Shen, J; Su, Zq; Meehan, J; Li, Xj; Yang, L; Li, Hq; Labaj, Pp; Kreil, Dp; Megherbi, D; Gaj, S; Caiment, F; van Delft, J; Kleinjans, J; Scherer, A; Devanarayan, V; Wang, J; Yang, Y; Qian, Hr; Lancashire, Lj; Bessarabova, M; Nikolsky, Y; Furlanello, C; Chierici, M; Albanese, D; Jurman, G; Riccadonna, S; Filosi, M; Visintainer, R; Zhang, Kk; Li, Jy; Hsieh, Jh; Svoboda, Dl; Fuscoe, Jc; Deng, Yd; Shi, Lm; Paules, Rs; Auerbach, Ss; Tong, Wd
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
2023-01-01 Chicco, Davide; Sanavia, Tiziana; Jurman, Giuseppe
Multi-omics integration for neuroblastoma clinical endpoint prediction
2018-01-01 Francescatto, Margherita; Chierici, Marco; Rezvan Dezfooli, Setareh; Zandonà, Alessandro; Jurman, Giuseppe; Furlanello, Cesare
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events
2020-01-01 Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare
Algebre di Lie graduate in caratteristica due
2000-01-01 Jurman, G
Graded Lie algebras of maximal class, III
2005-01-01 Jurman, G
Algebraic Comparison of Partial Lists in Bioinformatics
2012-01-01 Jurman, G; Riccadonna, S; Visintainer, R; Furlanello, C
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
2023-01-01 Chicco, Davide; Jurman, Giuseppe
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence | 1-gen-2022 | Chicco, D.; Jurman, G. | |
| Quotients of maximal class of thin {Lie} algebras: the odd characteristic case | 1-gen-1999 | Andrea, Caranti; Jurman, G. | |
| Combining feature selection and DTW for time-varying functional genomics | 1-gen-2006 | Furlanello, C; Merler, S; Jurman, G | |
| Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients’ non‐involved lung tissue | 1-gen-2023 | Minnai, Francesca; Noci, Sara; Chierici, Marco; Cotroneo, Chiara; Bartolini, Barbara; Incarbone, Matteo; Tosi, Davide; Mattioni, Giovanni; Jurman, Giuseppe; Dragani, Tommaso A.; Colombo, Francesca | |
| Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease | 1-gen-2021 | Chicco, Davide; Jurman, Giuseppe | |
| TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting | 1-gen-2020 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Pendesini, Marta; Jurman, Giuseppe; Furlanello, Cesare | |
| Combining feature selection and DTW for time-varying functional genomics | 1-gen-2006 | Furlanello, Cesare; Merler, Stefano; Jurman, Giuseppe | |
| The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | 1-gen-2020 | Chicco, Davide; Jurman, Giuseppe | |
| A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe | 1-gen-2023 | Makra, László; Matyasovszky, István; Tusnády, Gábor; Ziska, Lewis H; Hess, Jeremy J; Nyúl, László G; Chapman, Daniel S; Coviello, Luca; Gobbi, Andrea; Jurman, Giuseppe; Furlanello, Cesare; Brunato, Mauro; Damialis, Athanasios; Charalampopoulos, Athanasios; Müller-Schärer, Heinz; Schneider, Norbert; Szabó, Bence; Sümeghy, Zoltán; Páldy, Anna; Magyar, Donát; Bergmann, Karl-Christian; Deák, Áron József; Mikó, Edit; Thibaudon, Michel; Oliver, Gilles; Albertini, Roberto; Bonini, Maira; Šikoparija, Branko; Radišić, Predrag; Josipović, Mirjana Mitrović; Gehrig, Regula; Severova, Elena; Shalaboda, Valentina; Stjepanović, Barbara; Ianovici, Nicoleta; Berger, Uwe; Seliger, Andreja Kofol; Rybníček, Ondřej; Myszkowska, Dorota; Dąbrowska-Zapart, Katarzyna; Majkowska-Wojciechowska, Barbara; Weryszko-Chmielewska, Elzbieta; Grewling, Łukasz; Rapiejko, Piotr; Malkiewicz, Malgorzata; Šaulienė, Ingrida; Prykhodo, Olexander; Maleeva, Anna; Rodinkova, Victoria; Palamarchuk, Olena; Ščevková, Jana; Bullock, James M | |
| Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone | 1-gen-2020 | Chicco, Davide; Jurman, Giuseppe | |
| A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency | 1-gen-2021 | Jones, Wendell; Gong, Binsheng; Novoradovskaya, Natalia; Li, Dan; Kusko, Rebecca; Richmond, Todd A.; Johann, Donald J.; Bisgin, Halil; Sahraeian, Sayed Mohammad Ebrahim; Bushel, Pierre R.; Pirooznia, Mehdi; Wilkins, Katherine; Chierici, Marco; Bao, Wenjun; Basehore, Lee Scott; Lucas, Anne Bergstrom; Burgess, Daniel; Butler, Daniel J.; Cawley, Simon; Chang, Chia-Jung; Chen, Guangchun; Chen, Tao; Chen, Yun-Ching; Craig, Daniel J.; del Pozo, Angela; Foox, Jonathan; Francescatto, Margherita; Fu, Yutao; Furlanello, Cesare; Giorda, Kristina; Grist, Kira P.; Guan, Meijian; Hao, Yingyi; Happe, Scott; Hariani, Gunjan; Haseley, Nathan; Jasper, Jeff; Jurman, Giuseppe; Kreil, David Philip; Łabaj, Paweł; Lai, Kevin; Li, Jianying; Li, Quan-Zhen; Li, Yulong; Li, Zhiguang; Liu, Zhichao; López, Mario Solís; Miclaus, Kelci; Miller, Raymond; Mittal, Vinay K.; Mohiyuddin, Marghoob; Pabón-Peña, Carlos; Parsons, Barbara L.; Qiu, Fujun; Scherer, Andreas; Shi, Tieliu; Stiegelmeyer, Suzy; Suo, Chen; Tom, Nikola; Wang, Dong; Wen, Zhining; Wu, Leihong; Xiao, Wenzhong; Xu, Chang; Yu, Ying; Zhang, Jiyang; Zhang, Yifan; Zhang, Zhihong; Zheng, Yuanting; Mason, Christopher E.; Willey, James C.; Tong, Weida; Shi, Leming; Xu, Joshua | |
| Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging | 1-gen-2022 | Chierici, Marco; Puica, Nicolae; Pozzi, Matteo; Capistrano, Antonello; Dorian Donzella, Marcello; Colangelo, Antonio; Osmani, Venet; Jurman, Giuseppe | |
| The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance | 1-gen-2014 | Wang, C; Gong, Bs; Bushel, Pr; Thierry-Mieg, J; Thierry-Mieg, D; Xu, Js; Fang, H; Hong, Hx; Shen, J; Su, Zq; Meehan, J; Li, Xj; Yang, L; Li, Hq; Labaj, Pp; Kreil, Dp; Megherbi, D; Gaj, S; Caiment, F; van Delft, J; Kleinjans, J; Scherer, A; Devanarayan, V; Wang, J; Yang, Y; Qian, Hr; Lancashire, Lj; Bessarabova, M; Nikolsky, Y; Furlanello, C; Chierici, M; Albanese, D; Jurman, G; Riccadonna, S; Filosi, M; Visintainer, R; Zhang, Kk; Li, Jy; Hsieh, Jh; Svoboda, Dl; Fuscoe, Jc; Deng, Yd; Shi, Lm; Paules, Rs; Auerbach, Ss; Tong, Wd | |
| Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma | 1-gen-2023 | Chicco, Davide; Sanavia, Tiziana; Jurman, Giuseppe | |
| Multi-omics integration for neuroblastoma clinical endpoint prediction | 1-gen-2018 | Francescatto, Margherita; Chierici, Marco; Rezvan Dezfooli, Setareh; Zandonà, Alessandro; Jurman, Giuseppe; Furlanello, Cesare | |
| Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events | 1-gen-2020 | Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare | |
| Algebre di Lie graduate in caratteristica due | 1-gen-2000 | Jurman, G | |
| Graded Lie algebras of maximal class, III | 1-gen-2005 | Jurman, G | |
| Algebraic Comparison of Partial Lists in Bioinformatics | 1-gen-2012 | Jurman, G; Riccadonna, S; Visintainer, R; Furlanello, C | |
| The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | 1-gen-2023 | Chicco, Davide; Jurman, Giuseppe |
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