CANCELLIERE, Rossella
CANCELLIERE, Rossella
INFORMATICA
A Comparative Analysis of Neural Network Performances in Astronomy Imaging
2003-01-01 R. CANCELLIERE; MARIO GAI
A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data
2019-01-01 Druetto A.; Roberti M.; Cancelliere R.; Cavagnino D.; Gai M.
A High Parallel Procedure to initialize the Output Weights of a Radial Basis Function or BP Neural Network
2000-01-01 R. CANCELLIERE
A performance comparative analysis of some kind of Neural Networks
2001-01-01 R. CANCELLIERE; GAI M
An analysis of numerical issues in neural training by pseudoinversion
2017-01-01 Cancelliere, R.; Deluca, R.; Gai, M.; Gallinari, P.; Rubini, L.
An efficient point spread function construction method
2007-01-01 M. GAI; R. CANCELLIERE
Anomaly Detection Techniques in the Gaia Space Mission Data
2021-01-01 Roberti M.; Druetto A.; Busonero D.; Cancelliere R.; Cavagnino D.; Gai M.
Application of Polynomial Cellular Neural Networks in Diagnosis of Astrometric Chromaticity
2010-01-01 R. Cancelliere; M. Gai; A. Slavova
Astrometric effects of non-uniform telescope throughput
2008-01-01 M. Gai; R. Cancelliere
Astrometric signal profile fitting for Gaia
2010-01-01 M. Gai; R. Cancelliere; D. Busonero
Chemical cartography of the Milky Way
2023-01-01 Recio-Blanco, A; Kordopatis, G; de Laverny, P; Palicio, PA; Spagna, A; Spina, L; Katz, D; Fiorentin, PR; Poggio, E; McMillan, PJ; Vallenari, A; Lattanzi, MG; Seabroke, GM; Casamiquela, L; Bragaglia, A; Antoja, T; Bailer-Jones, CAL; Schultheis, M; Andrae, R; Fouesneau, M; Cropper, M; Cantat-Gaudin, T; Bijaoui, A; Heiter, U; Brown, AGA; Prusti, T; de Bruijne, JHJ; Arenou, F; Babusiaux, C; Biermann, M; Creevey, OL; Ducourant, C; Evans, DW; Eyer, L; Guerra, R; Hutton, A; Jordi, C; Klioner, SA; Lammers, UL; Lindegren, L; Luri, X; Mignard, F; Panem, C; Pourbaix, D; Randich, S; Sartoretti, P; Soubiran, C; Tanga, P; Walton, NA; Bastian, U; Drimmel, R; Jansen, F; van Leeuwen, F; Bakker, J; Cacciari, C; Castañeda, J; De Angeli, F; Fabricius, C; Frémat, Y; Galluccio, L; Guerrier, A; Masana, E; Messineo, R; Mowlavi, N; Nicolas, C; Nienartowicz, K; Pailler, F; Panuzzo, P; Riclet, F; Roux, W; Sordo, R; Thévenin, F; Gracia-Abril, G; Portell, J; Teyssier, D; Altmann, M; Audard, M; Bellas-Velidis, I; Benson, K; Berthier, J; Blomme, R; Burgess, PW; Busonero, D; Busso, G; Cánovas, H; Carry, B; Cellino, A; Cheek, N; Clementini, G; Damerdji, Y; Davidson, M; de Teodoro, P; Campos, MN; Delchambre, L; Dell'Oro, A; Esquej, P; Fernández-Hernández, J; Fraile, E; Garabato, D; García-Lario, P; Gosset, E; Haigron, R; Halbwachs, JL; Hambly, NC; Harrison, DL; Hernández, J; Hestroffer, D; Hodgkin, ST; Holl, B; Janssen, K; de Fombelle, GJ; Jordan, S; Krone-Martins, A; Lanzafame, AC; Löffler, W; Marchal, O; Marrese, PM; Moitinho, A; Muinonen, K; Osborne, P; Pancino, E; Pauwels, T; Reylé, C; Riello, M; Rimoldini, L; Roegiers, T; Rybizki, J; Sarro, LM; Siopis, C; Smith, M; Sozzetti, A; Utrilla, E; van Leeuwen, M; Abbas, U; Abrahám, P; Aramburu, AA; Aerts, C; Aguado, JJ; Ajaj, M; Aldea-Montero, F; Altavilla, G; Alvarez, MA; Alves, J; Anders, F; Anderson, RI; Varela, EA; Baines, D; Baker, SG; Balaguer-Núñez, L; Balbinot, E; Balog, Z; Barache, C; Barbato, D; Barros, M; Barstow, MA; Bartolomé, S; Bassilana, JL; Bauchet, N; Becciani, U; Bellazzini, M; Berihuete, A; Bernet, M; Bertone, S; Bianchi, L; Binnenfeld, A; Blanco-Cuaresma, S; Boch, T; Bombrun, A; Bossini, D; Bouquillon, S; Bramante, L; Breedt, E; Bressan, A; Brouillet, N; Brugaletta, E; Bucciarelli, B; Burlacu, A; Butkevich, AG; Buzzi, R; Caffau, E; Cancelliere, R; Carballo, R; Carlucci, T; Carnerero, MI; Carrasco, JM; Castellani, M; Castro-Ginard, A; Chaoul, L; Charlot, P; Chemin, L; Chiaramida, V; Chiavassa, A; Chornay, N; Comoretto, G; Contursi, G; Cooper, WJ; Cornez, T; Cowell, S; Crifo, F; Crosta, M; Crowley, C; Dafonte, C; Dapergolas, A; David, P; De Luise, F; De March, R; De Ridder, J; de Souza, R; de Torres, A; del Peloso, EF; del Pozo, E; Delbo, M; Delgado, A; Delisle, JB; Demouchy, C; Dharmawardena, TE; Di Matteo, P; Diakite, S; Diener, C; Distefano, E; Dolding, C; Edvardsson, B; Enke, H; Fabre, C; Fabrizio, M; Faigler, S; Fedorets, G; Fernique, P; Figueras, F; Fournier, Y; Fouron, C; Fragkoudi, F; Gai, M; Garcia-Gutierrez, A; Garcia-Reinaldos, M; García-Torres, M; Garofalo, A; Gavel, A; Gavras, P; Gerlach, E; Geyer, R; Giacobbe, P; Gilmore, G; Girona, S; Giuffrida, G; Gomel, R; Gomez, A; González-Núñez, J; González-Santamaría, I; González-Vidal, JJ; Granvik, M; Guillout, P; Guiraud, J; Gutiérrez-Sánchez, R; Guy, LP; Hatzidimitriou, D; Hauser, M; Haywood, M; Helmer, A; Helmi, A; Sarmiento, MH; Hidalgo, SL; Hladczuk, N; Hobbs, D; Holland, G; Huckle, HE; Jardine, K; Jasniewicz, G; Piccolo, AJA; Jiménez-Arranz, O; Campillo, JJ; Julbe, F; Karbevska, L; Kervella, P; Khanna, S; Korn, AJ; Kóspál, A; Kostrzewa-Rutkowska, Z; Kruszynska, K; Kun, M; Laizeau, P; Lambert, S; Lanza, AF; Lasne, Y; Le Campion, JF; Lebreton, Y; Lebzelter, T; Leccia, S; Leclerc, N; Lecoeur-Taibi, I; Liao, S; Licata, EL; Lindstrom, HEP; Lister, TA; Livanou, E; Lobel, A; Lorca, A; Loup, C; Pardo, PM; Romeo, AM; Managau, S; Mann, RG; Manteiga, M; Marchant, JM; Marconi, M; Marcos, J; Santos, MMSM; Pina, DM; Marinoni, S; Marocco, F; Marshall, DJ; Polo, LM; Martín-Fleitas, JM; Marton, G; Mary, N; Masip, A; Massari, D; Mastrobuono-Battisti, A; Mazeh, T; Messina, S; Michalik, D; Millar, NR; Mints, A; Molina, D; Molinaro, R; Molnár, L; Monari, G; Monguió, M; Montegriffo, P; Montero, A; Mor, R; Mora, A; Morbidelli, R; Morel, T; Morris, D; Muraveva, T; Murphy, CP; Musella, I; Nagy, Z; Noval, L; Ocana, F; Ogden, A; Ordenovic, C; Osinde, JO; Pagani, C; Pagano, I; Palaversa, L; Pallas-Quintela, L; Panahi, A; Payne-Wardenaar, S; Esteller, XP; Penttilä, A; Pichon, B; Piersimoni, AM; Pineau, FX; Plachy, E; Plum, G; Prsa, A; Pulone, L; Racero, E; Ragaini, S; Rainer, M; Raiteri, CM; Ramos, P; Ramos-Lerate, M; Regibo, S; Richards, PJ; Diaz, CR; Ripepi, V; Riva, A; Rix, HW; Rixon, G; Robichon, N; Robin, AC; Robin, C; Roelens, M; Rogues, HRO; Rohrbasser, L; Romero-Gómez, M; Rowell, N; Royer, F; Mieres, DR; Rybicki, KA; Sadowski, G; Núñez, AS; Sellés, AS; Sahlmann, J; Salguero, E; Samaras, N; Gimenez, VS; Sanna, N; Santoveña, R; Sarasso, M; Sciacca, E; Segol, M; Segovia, JC; Ségransan, D; Semeux, D; Shahaf, S; Siddiqui, HI; Siebert, A; Siltala, L; Silvelo, A; Slezak, E; Slezak, I; Smart, RL; Snaith, ON; Solano, E; Solitro, F; Souami, D; Souchay, J; Spoto, F; Steele, IA; Steidelmüller, H; Stephenson, CA; Süveges, M; Surdej, J; Szabados, L; Szegedi-Elek, E; Taris, F; Taylor, MB; Teixeira, R; Tolomei, L; Tonello, N; Torra, F; Torra, J; Elipe, GT; Trabucchi, M; Tsounis, AT; Turon, C; Ulla, A; Unger, N; Vaillant, MV; van Dillen, E; van Reeven, W; Vanel, O; Vecchiato, A; Viala, Y; Vicente, D; Voutsinas, S; Weiler, M; Wevers, T; Wyrzykowski, L; Yoldas, A; Yvard, P; Zhao, H; Zorec, J; Zucker, S; Zwitter, T
Classification of Chestnuts with Feature Selection by Noise Resilient Classifiers
2008-01-01 E. ROGLIA; R. CANCELLIERE; R. MEO
Classifications of chestnuts with experiments on feature selection and noise
2007-01-01 E. Roglia; R. Cancelliere; R. Meo
Comparison of computational efficiencies of ann algorithms for regression tasks
2009-01-01 R. Cancelliere; M. Gai; E. Roglia; M. Botta
Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices
2014-01-01 Rubini, L.; Cancelliere, R.; Gallinari, P.; Grosso, A.; Raiti, A.
Controlling hallucinations at word level in data-to-text generation
2021-01-01 Rebuffel C.; Roberti M.; Soulier L.; Scoutheeten G.; Cancelliere R.; Gallinari P.
Copy Mechanism and Tailored Training for character-based data-to-text generation
2019-01-01 Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari
Data classification with feature selection by noise resilient classifiers
2009-01-01 R. Cancelliere; E. Roglia; M. Visconti di Oleggio Castello
Data Processing and Feature Screening in Function Approximation: an Application to Neural Networks
2003-01-01 R. CANCELLIERE
Deep neural networks training: perspectives of investigation
2012-01-01 A. Antonini; R. Cancelliere; T. Artières; P. Gallinari
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Comparative Analysis of Neural Network Performances in Astronomy Imaging | 2003 | R. CANCELLIERE; MARIO GAI | |
| A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data | 2019 | Druetto A.; Roberti M.; Cancelliere R.; Cavagnino D.; Gai M. | |
| A High Parallel Procedure to initialize the Output Weights of a Radial Basis Function or BP Neural Network | 2000 | R. CANCELLIERE | |
| A performance comparative analysis of some kind of Neural Networks | 2001 | R. CANCELLIERE; GAI M | |
| An analysis of numerical issues in neural training by pseudoinversion | 2017 | Cancelliere, R.; Deluca, R.; Gai, M.; Gallinari, P.; Rubini, L. | |
| An efficient point spread function construction method | 2007 | M. GAI; R. CANCELLIERE | |
| Anomaly Detection Techniques in the Gaia Space Mission Data | 2021 | Roberti M.; Druetto A.; Busonero D.; Cancelliere R.; Cavagnino D.; Gai M. | |
| Application of Polynomial Cellular Neural Networks in Diagnosis of Astrometric Chromaticity | 2010 | R. Cancelliere; M. Gai; A. Slavova | |
| Astrometric effects of non-uniform telescope throughput | 2008 | M. Gai; R. Cancelliere | |
| Astrometric signal profile fitting for Gaia | 2010 | M. Gai; R. Cancelliere; D. Busonero | |
| Chemical cartography of the Milky Way | 2023 | Recio-Blanco, A; Kordopatis, G; de Laverny, P; Palicio, PA; Spagna, A; Spina, L; Katz, D; Fiorentin, PR; Poggio, E; McMillan, PJ; Vallenari, A; Lattanzi, MG; Seabroke, GM; Casamiquela, L; Bragaglia, A; Antoja, T; Bailer-Jones, CAL; Schultheis, M; Andrae, R; Fouesneau, M; Cropper, M; Cantat-Gaudin, T; Bijaoui, A; Heiter, U; Brown, AGA; Prusti, T; de Bruijne, JHJ; Arenou, F; Babusiaux, C; Biermann, M; Creevey, OL; Ducourant, C; Evans, DW; Eyer, L; Guerra, R; Hutton, A; Jordi, C; Klioner, SA; Lammers, UL; Lindegren, L; Luri, X; Mignard, F; Panem, C; Pourbaix, D; Randich, S; Sartoretti, P; Soubiran, C; Tanga, P; Walton, NA; Bastian, U; Drimmel, R; Jansen, F; van Leeuwen, F; Bakker, J; Cacciari, C; Castañeda, J; De Angeli, F; Fabricius, C; Frémat, Y; Galluccio, L; Guerrier, A; Masana, E; Messineo, R; Mowlavi, N; Nicolas, C; Nienartowicz, K; Pailler, F; Panuzzo, P; Riclet, F; Roux, W; Sordo, R; Thévenin, F; Gracia-Abril, G; Portell, J; Teyssier, D; Altmann, M; Audard, M; Bellas-Velidis, I; Benson, K; Berthier, J; Blomme, R; Burgess, PW; Busonero, D; Busso, G; Cánovas, H; Carry, B; Cellino, A; Cheek, N; Clementini, G; Damerdji, Y; Davidson, M; de Teodoro, P; Campos, MN; Delchambre, L; Dell'Oro, A; Esquej, P; Fernández-Hernández, J; Fraile, E; Garabato, D; García-Lario, P; Gosset, E; Haigron, R; Halbwachs, JL; Hambly, NC; Harrison, DL; Hernández, J; Hestroffer, D; Hodgkin, ST; Holl, B; Janssen, K; de Fombelle, GJ; Jordan, S; Krone-Martins, A; Lanzafame, AC; Löffler, W; Marchal, O; Marrese, PM; Moitinho, A; Muinonen, K; Osborne, P; Pancino, E; Pauwels, T; Reylé, C; Riello, M; Rimoldini, L; Roegiers, T; Rybizki, J; Sarro, LM; Siopis, C; Smith, M; Sozzetti, A; Utrilla, E; van Leeuwen, M; Abbas, U; Abrahám, P; Aramburu, AA; Aerts, C; Aguado, JJ; Ajaj, M; Aldea-Montero, F; Altavilla, G; Alvarez, MA; Alves, J; Anders, F; Anderson, RI; Varela, EA; Baines, D; Baker, SG; Balaguer-Núñez, L; Balbinot, E; Balog, Z; Barache, C; Barbato, D; Barros, M; Barstow, MA; Bartolomé, S; Bassilana, JL; Bauchet, N; Becciani, U; Bellazzini, M; Berihuete, A; Bernet, M; Bertone, S; Bianchi, L; Binnenfeld, A; Blanco-Cuaresma, S; Boch, T; Bombrun, A; Bossini, D; Bouquillon, S; Bramante, L; Breedt, E; Bressan, A; Brouillet, N; Brugaletta, E; Bucciarelli, B; Burlacu, A; Butkevich, AG; Buzzi, R; Caffau, E; Cancelliere, R; Carballo, R; Carlucci, T; Carnerero, MI; Carrasco, JM; Castellani, M; Castro-Ginard, A; Chaoul, L; Charlot, P; Chemin, L; Chiaramida, V; Chiavassa, A; Chornay, N; Comoretto, G; Contursi, G; Cooper, WJ; Cornez, T; Cowell, S; Crifo, F; Crosta, M; Crowley, C; Dafonte, C; Dapergolas, A; David, P; De Luise, F; De March, R; De Ridder, J; de Souza, R; de Torres, A; del Peloso, EF; del Pozo, E; Delbo, M; Delgado, A; Delisle, JB; Demouchy, C; Dharmawardena, TE; Di Matteo, P; Diakite, S; Diener, C; Distefano, E; Dolding, C; Edvardsson, B; Enke, H; Fabre, C; Fabrizio, M; Faigler, S; Fedorets, G; Fernique, P; Figueras, F; Fournier, Y; Fouron, C; Fragkoudi, F; Gai, M; Garcia-Gutierrez, A; Garcia-Reinaldos, M; García-Torres, M; Garofalo, A; Gavel, A; Gavras, P; Gerlach, E; Geyer, R; Giacobbe, P; Gilmore, G; Girona, S; Giuffrida, G; Gomel, R; Gomez, A; González-Núñez, J; González-Santamaría, I; González-Vidal, JJ; Granvik, M; Guillout, P; Guiraud, J; Gutiérrez-Sánchez, R; Guy, LP; Hatzidimitriou, D; Hauser, M; Haywood, M; Helmer, A; Helmi, A; Sarmiento, MH; Hidalgo, SL; Hladczuk, N; Hobbs, D; Holland, G; Huckle, HE; Jardine, K; Jasniewicz, G; Piccolo, AJA; Jiménez-Arranz, O; Campillo, JJ; Julbe, F; Karbevska, L; Kervella, P; Khanna, S; Korn, AJ; Kóspál, A; Kostrzewa-Rutkowska, Z; Kruszynska, K; Kun, M; Laizeau, P; Lambert, S; Lanza, AF; Lasne, Y; Le Campion, JF; Lebreton, Y; Lebzelter, T; Leccia, S; Leclerc, N; Lecoeur-Taibi, I; Liao, S; Licata, EL; Lindstrom, HEP; Lister, TA; Livanou, E; Lobel, A; Lorca, A; Loup, C; Pardo, PM; Romeo, AM; Managau, S; Mann, RG; Manteiga, M; Marchant, JM; Marconi, M; Marcos, J; Santos, MMSM; Pina, DM; Marinoni, S; Marocco, F; Marshall, DJ; Polo, LM; Martín-Fleitas, JM; Marton, G; Mary, N; Masip, A; Massari, D; Mastrobuono-Battisti, A; Mazeh, T; Messina, S; Michalik, D; Millar, NR; Mints, A; Molina, D; Molinaro, R; Molnár, L; Monari, G; Monguió, M; Montegriffo, P; Montero, A; Mor, R; Mora, A; Morbidelli, R; Morel, T; Morris, D; Muraveva, T; Murphy, CP; Musella, I; Nagy, Z; Noval, L; Ocana, F; Ogden, A; Ordenovic, C; Osinde, JO; Pagani, C; Pagano, I; Palaversa, L; Pallas-Quintela, L; Panahi, A; Payne-Wardenaar, S; Esteller, XP; Penttilä, A; Pichon, B; Piersimoni, AM; Pineau, FX; Plachy, E; Plum, G; Prsa, A; Pulone, L; Racero, E; Ragaini, S; Rainer, M; Raiteri, CM; Ramos, P; Ramos-Lerate, M; Regibo, S; Richards, PJ; Diaz, CR; Ripepi, V; Riva, A; Rix, HW; Rixon, G; Robichon, N; Robin, AC; Robin, C; Roelens, M; Rogues, HRO; Rohrbasser, L; Romero-Gómez, M; Rowell, N; Royer, F; Mieres, DR; Rybicki, KA; Sadowski, G; Núñez, AS; Sellés, AS; Sahlmann, J; Salguero, E; Samaras, N; Gimenez, VS; Sanna, N; Santoveña, R; Sarasso, M; Sciacca, E; Segol, M; Segovia, JC; Ségransan, D; Semeux, D; Shahaf, S; Siddiqui, HI; Siebert, A; Siltala, L; Silvelo, A; Slezak, E; Slezak, I; Smart, RL; Snaith, ON; Solano, E; Solitro, F; Souami, D; Souchay, J; Spoto, F; Steele, IA; Steidelmüller, H; Stephenson, CA; Süveges, M; Surdej, J; Szabados, L; Szegedi-Elek, E; Taris, F; Taylor, MB; Teixeira, R; Tolomei, L; Tonello, N; Torra, F; Torra, J; Elipe, GT; Trabucchi, M; Tsounis, AT; Turon, C; Ulla, A; Unger, N; Vaillant, MV; van Dillen, E; van Reeven, W; Vanel, O; Vecchiato, A; Viala, Y; Vicente, D; Voutsinas, S; Weiler, M; Wevers, T; Wyrzykowski, L; Yoldas, A; Yvard, P; Zhao, H; Zorec, J; Zucker, S; Zwitter, T | |
| Classification of Chestnuts with Feature Selection by Noise Resilient Classifiers | 2008 | E. ROGLIA; R. CANCELLIERE; R. MEO | |
| Classifications of chestnuts with experiments on feature selection and noise | 2007 | E. Roglia; R. Cancelliere; R. Meo | |
| Comparison of computational efficiencies of ann algorithms for regression tasks | 2009 | R. Cancelliere; M. Gai; E. Roglia; M. Botta | |
| Computational Experience with Pseudoinversion-Based Training of Neural Networks Using Random Projection Matrices | 2014 | Rubini, L.; Cancelliere, R.; Gallinari, P.; Grosso, A.; Raiti, A. | |
| Controlling hallucinations at word level in data-to-text generation | 2021 | Rebuffel C.; Roberti M.; Soulier L.; Scoutheeten G.; Cancelliere R.; Gallinari P. | |
| Copy Mechanism and Tailored Training for character-based data-to-text generation | 2019 | Marco Roberti, Giovanni Bonetta, Rossella Cancelliere, Patrick Gallinari | |
| Data classification with feature selection by noise resilient classifiers | 2009 | R. Cancelliere; E. Roglia; M. Visconti di Oleggio Castello | |
| Data Processing and Feature Screening in Function Approximation: an Application to Neural Networks | 2003 | R. CANCELLIERE | |
| Deep neural networks training: perspectives of investigation | 2012 | A. Antonini; R. Cancelliere; T. Artières; P. Gallinari |