| An overview of data integration in neuroscience with focus on Alzheimer’s Disease. | 2023 | Turrisi
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Squillario
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| Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise | 2023 | A Trucco
A Barla
R Bozzano
S Pensieri
A Verri
David Solarna | IEEE JOURNAL OF OCEANIC ENGINEERING |
| Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks | 2023 | D. Pretolesi
D. Garbarino
D. Giampaoli
A. Vian and A. Barla | IEEE Transactions on Emerging Topics in Computing |
| Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning | 2022 | Trucco A
Barla A
Bozzano R
Fava E
Pensieri S
Verri A
Solarna D | IEEE Journal of Oceanic Engineering |
| AI-based component management system for structured content creation, annotation, and publication. | 2022 | Barla A
Cuneo M
Nunzi SR
Paniati G
Vian A | 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems |
| Attributed Graphettes-Based Preterm Infants Motion Analysis | 2022 | D Garbarino
M Moro
C Tacchino
P Moretti
M Casadio
Odone F
Barla A | Complex Networks & Their Applications X |
| A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis | 2021 | Trucco A.
Bozzano R.
Fava E.
Pensieri S.
Verri A.
Barla A. | IEEE Journal of Oceanic Engineering |
| Temporal Pattern Detection in Time-Varying Graphical Models | 2021 | Tomasi F.
Tozzo V.
Barla A. | 25th International Conference on Pattern Recognition (ICPR) |
| Where Do We Stand in Regularization for Life Science Studies? | 2021 | V Tozzo
C Azencott
S Fiorini
E Fava
A Trucco
Barla A | Journal of Computational Biology |
| Predicting Tennis Match Outcomes with Network Analysis and Machine Learning | 2021 | Bayram F.
Garbarino D.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Epigenetic Regulation in Myelodysplastic Syndrome as A Consequence of A MicroRNA Dysregulation | 2021 | D Avenoso
M Squillario
Barla A
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E Carminati
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E Todisco
F Gigli
F Bertolini
G Gregato
C Poletti
M Miglino | ResearchSquare preprint |
| A robust method for statistical testing of empirical power-law distributions | 2020 | Garbarino D.
Tozzo V.
Vian A.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Design thinking e architettura delle informazioni. | 2020 | Vian A | In: Gessica Puri. Design Thinking A toolset for developers of interactive information\nvisualization applications. p. 242-243, San Francisco:Lulu, ISBN: 978-1-716-43176-0\n |
| Declinazioni e approcci disciplinari al recupero delle imbarcazioni. | 2020 | Vian A
Zignego I M | RESTAURO NAUTICO E DESIGN Strumenti e metodi per il recupero\ndelle imbarcazioni storiche. vol. 1, p. 29-34, Genova:GUP Genova University\nPress, ISBN: 978-88-3618-021-9\n |
| Progettisti, restauratori o designer? Il labile confine della disciplina in ambito nautico. | 2020 | Della Rocca e di Bianzè M
Vian A | RESTAURO NAUTICO E DESIGN Strumenti e metodi per il recupero\ndelle imbarcazioni storiche. vol. 1, p. 23-28, Genova:GUP Genova University\nPress, ISBN: 978-88-3618-021-9\n |
| A Robust Method for Statistical Testing of Empirical Power-Law Distributions. | 2020 | Garbarino D
Tozzo V
Vian A
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| Computer grafica e post verità. | 2020 | Vian A | In: ruggiero maria elisabetta. STORIA DELLA GRAFICA. p. 187-197, Genova:GUP Genova University Press, ISBN: 978-88-3618-043-1 |
| Considerazioni sulle immagini mentali, analogiche e digitali. | 2020 | Vian A | In: ruggiero maria elisabetta. STORIA DELLA GRAFICA. p. 29-40, Genova:GUP Genova University Press, ISBN: 978-88-3618-043-1 |
| Il design disonesto di spazi e modelli virtuali. | 2020 | Vian A | GUD. GENOVA UNIVERSITÀ DESIGN, vol. 2/2020, p. 48-53, ISSN: 1720-075X |
| User centered design and digital innovation | 2020 | Vian A | DIID. DISEGNO INDUSTRIALE INDUSTRIAL DESIGN, p. 52-59, ISSN: 1594-8528 |
| Transplantation induces profound changes in the transcriptional asset of hematopoietic stem cells: Identification of specific signatures using machine learning techniques | 2020 | Cilloni D.
Petiti J.
Campia V.
Podestà M.
Squillario M.
Montserrat N.
Bertaina A.
Sabatini F.
Carturan S.
Berger M.
Saglio F.
Bandini G.
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| The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach | 2020 | Brichetto G.
Monti Bragadin M.
Fiorini S.
Battaglia M.A.
Konrad G.
Ponzio M.
Pedullà L.
Verri A.
Barla A.
Tacchino A. | Neurological Sciences |
| A big web redesign. Data driven design research through practice and implementation. | 2020 | Vian A | Genova:GUP Genova University Press,\nISBN: 978-88-3618-044-8\n |
| Missing Values in Multiple Joint Inference of Gaussian Graphical Models | 2020 | V Tozzo
D Garbarino
Barla A | International Conference on Probabilistic Graphical Models |
| 1290-P: Gut Microbiota in New-Onset Pediatric Patients with Type 1 Diabetes: Machine Learning Algorithms to Classify Microorganisms Disease-Linked | 2020 | G D’ANNUNZIO
R Biassoni
M Squillario
E Ugolotti
Barla A
G Piccolo
N Minuto
M Maghnie | |
| Multi-parameters Model Selection for Network Inference | 2020 | Tozzo V.
Barla A. | Studies in Computational Intelligence |
| Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked | 2020 | Biassoni R.
Di Marco E.
Squillario M.
Barla A.
Piccolo G.
Ugolotti E.
Gatti C.
Minuto N.
Patti G.
Maghnie M.
d’Annunzio G. | Journal of Clinical Endocrinology and Metabolism |
| Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings | 2020 | D’Amario V.
Arnulfo G.
Nobili L.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease | 2020 | Squillario M.
Abate G.
Tomasi F.
Tozzo V.
Barla A.
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Weiner M.W.
Aisen P.
Petersen R.
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Jr.
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| Temporal pattern detection in time-varying graphical models | 2020 | Tomasi F.
Tozzo V.
Barla A. | Proceedings - International Conference on Pattern Recognition |
| Cancer mutational signatures identification with sparse dictionary learning | 2019 | Tozzo V.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Ma(r)kers: Digital Fabrication as Opportunity for Enhancing Territories\nThrough Hacking, Personalization, Traces | 2019 | Raffaella Fagnoni
Xavier Ferrari Tumay
Annapaola Vacanti
Andrea Vian | In: Ma [...] ference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24–28, 2019, Washington D.C., USA. vol. 1, p. 60-70, Cham:Springer, ISBN: 978-3-030-20215-6, doi: 10.1007/978-3-030-20216-3 |
| Connection Making: analogue-digital synapsis between fabrication hubs. | 2019 | Annapaola Vacanti
Xavier Ferrari Tumay
Andrea Vian | In: G. De Giovanni F. Scalisi. Pro-Innovation. p. 53-64, Palermo:Palermo University Press, ISBN:\n978-88-5509-055-1 |
| Visual computing methods for assessing the well-being of older people | 2019 | Martini C.
Odone F.
Noceti N.
Chessa M.
Barla A.
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Cella A.
Pilotto A.
Rollandi G.A. | Communications in Computer and Information Science |
| Secondary somatic mutations in g-protein-related pathways and mutation signatures in Uveal melanoma | 2019 | Piaggio F.
Tozzo V.
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Viaggi S.
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Barla A.
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| Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network | 2019 | Fiorini S.
Hajati F.
Barla A.
Girosi F. | PLoS ONE |
| Development of a smart post-hospitalization facility for older people by using domotics, robotics, and automated tele-monitoring | 2019 | C Patrone
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N Veronese
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| Next Generation Sequencing and Microrna Assay in a Cohort of Patients Affected By Myelodysplastic Syndromes. an Analysis of Clinical and Genotypic Features | 2019 | D Avenoso
M Squillario
Barla A
Verri A
E Carminati
C Nurra
E Todisco
F Gigli
G Gregato
C Poletti
F Bertolini
G J Mufti
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| Adenine: A HPC-Oriented Tool for Biological Data Exploration | 2019 | Barla A | |
| Uncovering the genetic hereditable component of late onset Alzheimer’s disease through the analysis of GWA data | 2019 | M Squillario
F Tomasi
V Tozzo
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D Uberti | F1000Research |
| Icing: Large-scale inference of immunoglobulin clonotypes | 2019 | Tomasi F.
Squillario M.
Verri A.
Bagnara D.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Discrete Changes in Glucose Metabolism Define Aging | 2019 | Ravera S.
Podestà M.
Sabatini F.
Dagnino M.
Cilloni D.
Fiorini S.
Barla A.
Frassoni F. | Scientific Reports |
| Different features of tumor-associated NK cells in patients with low-grade or high-grade peritoneal carcinomatosis | 2019 | Pesce S.
Belgrano V.
Greppi M.
Carlomagno S.
Squillario M.
Barla A.
Della Chiesa M.
Di Domenico S.
Mavilio D.
Moretta L.
Candiani S.
Sivori S.
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| Adenine: A HPC-oriented tool for biological data exploration | 2019 | Fiorini S.
Tomasi F.
Squillario M.
Barla A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Paths of graduates from the University of Genoa (1990-2016) | 2019 | Annalisa Barla
Samuele Fiorini
Ami Licaj
Annapaola Vacanti Andrea Vian | In: II CONVEGNO INTERNAZIONALE E INTERDISCIPLINARE SU IMMAGINI E IMMAGINAZIONE/ 2nd INTERNATIONAL AND INTERDISCIPLINARY CONFERENCE ON IMAGES AND IMAGINATION IMG2019. \np. 283-284,ISBN: 978 88 99586 07 2, Alghero, 4 luglio 2019 |
| A visual computing approach for estimating the motility index in the frail elder | 2018 | Martini C.
Noceti N.
Chessa M.
Barla A.
Cella A.
Rollandi G.A.
Pilotto A.
Verri A.
Odone F. | VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
| New miRNA signature heralds human NK cell subsets at different maturation steps: Involvement of miR-146a-5p in the regulation of KIR expression | 2018 | Pesce S.
Squillario M.
Greppi M.
Loiacono F.
Moretta L.
Moretta A.
Sivori S.
Castagnola P.
Barla A.
Candiani S.
Marcenaro E. | Frontiers in Immunology |
| A 3-fold kernel approach for characterizing Late Onset Alzheimer’s Disease | 2018 | M Squillario
F Tomasi
V Tozzo
Barla A
D Uberti
Alzheimer’s Disease Neuroimaging Initiative | ArXiv preprint |
| Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy | 2018 | V D’Amario
F Tomasi
V Tozzo
G Arnulfo
Barla A
L Nobili | Proceedings of the 3rd Machine Learning for Healthcare Conference |
| IMPARARE AD INSEGNARE IL PENSIERO COMPUTAZIONALE: UN’ESPERIENZA DI VERA ALTERNANZA SCUOLA-LAVORO PRESSO L’UNIVERSITA’DI GENOVA | 2018 | Barla A
B Catania
M Chessa
G Delzanno
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V Mascardi
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Odone F | Exploring the Micro, Meso and Macro. Proceedings of the European Distance and E-Learning Network 2018 Annual Conference |
| Data-driven continuous assessment of frailty in older people | 2018 | C Martini
Barla A
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Verri A
A Cella
GA Rollandi
A Pilotto | Frontiers in Digital Humanities |
| Hey there’s DALILA: A dictionary learning library | 2018 | Tozzo V.
D'Amario V.
Barla A. | OpenAccess Series in Informatics |
| Presentazione. I molteplici paradigmi della ricerca di Design | 2018 | Massimiliano Ciammaichella
Lucia Rampino
Andrea Vian | In: FRID 2017 Sul metodo/Sui metodi. Esplorazioni per le identità del design. p. 301-304,\nMILANO:Mimesis, ISBN: 9788857549231, Venezia, 16, 17 novembre 2017 |
| PALLADIO: A parallel framework for robust variable selection in high-dimensional data | 2017 | Barbieri M.
Fiorini S.
Tomasi F.
Barla A. | Proceedings of PyHPC 2016: 6th Workshop on Python for High-Performance and Scientific Computing - Held in conjunction with SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis |
| Data-driven strategies for robust forecast of continuous glucose monitoring time-series | 2017 | Fiorini S.
Martini C.
Malpassi D.
Cordera R.
Maggi D.
Verri A.
Barla A. | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| Memorie di un architetto futuro | 2016 | Vian A | In: Di-Segnare Ambiente Paesaggio Città. p. 241-244, GENOVA:Graphic Sector, ISBN: 978-88-905324-3-6 |
| A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes | 2015 | Fiorini S.
Verri A.
Tacchino A.
Ponzio M.
Brichetto G.
Barla A. | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| Advances in dynamic modeling of colorectal cancer signalingnetwork regions, a path toward targeted therapies | 2015 | Tortolina L.
Duffy D.J.
Maffei M.
Castagnino N.
Carmody A.M.
Kolch W.
Kholodenko B.N.
De Ambrosi C.
Barla A.
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Nencioni A.
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| Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm | 2015 | Masecchia S.
Coco S.
Barla A.
Verri A.
Tonini G.P. | BMC Medical Genomics |
| Scenari di rivoluzione digitale dei Beni Culturali | 2015 | Vian A | In: Paola Gambaro Vannicola Carlo. Design e Open Source for Cultural Heritage. p. 188-\n195, FIRENZE:Alinea Editrice, ISBN: 978-88-6055-840-4 |
| The Hour of Code has arrived in Genoa! [L’Ora del Codice è arrivata a Genova!] | 2015 | Ancona D.
Barla A.
Catania B.
Delzanno G.
Guerrini G.
Mascardi V.
Odone F.
Ribaudo M. | Mondo Digitale |
| The use of platelet-rich plasma gel in patients with mixed tumour undergoing superficial parotidectomy: A randomized study | 2014 | Scala M.
Mereu P.
Spagnolo F.
Massa M.
Barla A.
Mosci S.
Forno G.
Ingenito A.
Strada P. | In Vivo |
| Regenerative medicine for the treatment of teno-desmic injuries of the equine. A series of 150 horses treated with platelet-derived growth factors | 2014 | Scala M.
Lenarduzzi S.
Spagnolo F.
Trapasso M.
Ottonello C.
Muraglia A.
Barla A.
Strada P. | In Vivo |
| Quantitative echography in primary uveal melanoma treated by proton beam therapy | 2014 | Mosci C.
Lanza F.B.
Mosci S.
Barla A. | Canadian Journal of Ophthalmology |
| Identification of pathway signatures in Parkinson’s disease with gene ontology and sparse regularization | 2014 | Squillario M.
Zycinski G.
Barla A.
Verri A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Alternating proximal regularized dictionary learning | 2014 | Salzo S.
Masecchia S.
Verri A.
Barla A. | Neural Computation |
| A machine learning pipeline for identification of discriminant pathways | 2014 | Barla A.
Jurman G.
Visintainer R.
Squillario M.
Filosi M.
Riccadonna S.
Furlanello C. | Springer Handbook of Bio-/Neuroinformatics |
| A dictionary learning based method for aCGH segmentation | 2013 | Masecchia S.
Salzo S.
Barla A.
Verri A. | ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
| Spazio digitale | 2013 | Vian A | In: J. Avenoso, F. Bruzzo, R. Fagnoni, C. Gorzanelli, C. Olivastri, S. Pericu, C. Sabeto, A. Vian. Ricettario urbano. p. 50-57, GENOVA:De Ferrari Editore, ISBN: 9788897752288 |
| Virale | 2013 | Vian A | GENOVA:De Ferrari Editore, ISBN: 9788897752288 |
| Ricettario Urbano | 2013 | FAGNONI RAFFAELLA
PERICU SILVIA
VIAN ANDREA
SABETO CLARISSA
GORZANELLI CRISTINA
BRUZZO FRANCESCA
AVENOSO JACOPO
OLIVASTRI CHIARA | Genova:GUP Genova University Press, ISBN: 9788897752288 |
| Parameter space exploration within dynamic simulations of signaling networks | 2013 | De Ambrosi C.
Barla A.
Tortolina L.
Castagnino N.
Pesenti R.
Verri A.
Ballestrero A.
Patrone F.
Parodi S. | Mathematical Biosciences and Engineering |
| Regenerative surgery for the definitive repair of chronic ulcers: A series of 34 cases treated with platelet-derived growth factors | 2013 | Spagnolo F.
Trapasso M.
Monteghirfo S.
Barla A.
Scala M. | Plastic and Reconstructive Surgery |
| Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas | 2013 | Mascelli S.
Barla A.
Raso A.
Mosci S.
Nozza P.
Biassoni R.
Morana G.
Huber M.
Mircean C.
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| Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data | 2013 | Zycinski G.
Barla A.
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Sanavia T.
Di Camillo B.
Verri A. | Source Code for Biology and Medicine |
| Dictionary learning improves subtyping of breast cancer aCGH data | 2013 | Masecchia S.
Barla A.
Salzo S.
Verri A. | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| Architettura digitale partecipata | 2013 | Vian A | In: S. Marini, V. Santangelo. (a cura di): S. Marini, V. Santangelo, Recycland. p. 65-67, ROMA:Aracne Editrice, ISBN: 9788854862708 [con allegato e copyright] 2011 - Contributo in volume |
| Multi-output learning via spectral filtering | 2012 | Baldassarre L.
Rosasco L.
Barla A.
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| Effect of size and heterogeneity of samples on biomarker discovery: Synthetic and real data assessment | 2012 | Di Camillo B.
Sanavia T.
Martini M.
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Barla A.
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Furlanello C.
Toffolo G.
Cobelli C. | PLoS ONE |
| Dynamic simulations of pathways downstream of TGFβ, Wnt and EGF-family growth factors, in colorectal cancer, including mutations and treatments with onco-protein inhibitors | 2012 | Tortolina L.
Castagnino N.
De Ambrosi C.
Barla A.
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Bagnasco L.
Piras D.
Patrone F.
Ballestrero A.
Parodi S. | SEMA SIMAI Springer Series |
| Discriminant functional gene groups identification with machine learning and prior knowledge | 2012 | Zycinski G.
Squillario M.
Barla A.
Sanavia T.
Verri A.
Di Camillo B. | ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
| Comparison of clinical outcomes for patients with large choroidal melanoma after primary treatment with enucleation or proton beam radiotherapy | 2012 | Mosci C.
Lanza F.B.
Barla A.
Mosci S.
Hérault J.
Anselmi L.
Truini M. | Ophthalmologica |
| A machine learning pipeline for discriminant pathways identification | 2012 | Barla A.
Jurman G.
Visintainer R.
Squillario M.
Filosi M.
Riccadonna S.
Furlanello C. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Innovazione come attitudine | 2011 | N. Casiddu
R. Fagnoni
A. Vian | In: Paris, T. Cristallo, V., Lucibello S.. 20.00.1120.00.11 antologia il design italiano. vol. 1, p. 145-147, ROMA:R Designpress, ISBN: 9788889819289 |
| SVS: Data and knowledge integration in computational biology | 2011 | Zycinski G.
Barla A.
Verri A. | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer’s as a case study | 2011 | Squillario M.
Barla A. | BMC Medical Genomics |
| A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients | 2010 | Fardin P.
Barla A.
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Øra I.
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| Vector field learning via spectral filtering | 2010 | Baldassarre L.
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Barla A.
Verri A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| L’utente, il compito, lo strumento / The user, the task, the instrument. | 2010 | Vian A | In: Facidieno M.. Le scienze per l'architettura Frammenti di sapere / Architectural Sciences Fragments of knowledge. vol. 1, p. 428-460, FIRENZE:Alinea, ISBN: 9788860555953 |
| Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction | 2010 | Fardin P.
Cornero A.
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Verri A.
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| Learning how to grasp objects | 2010 | Barla A.
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Odone F. | Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010 |
| Towards a theoretical framework for learning multi-modal patterns for embodied agents | 2009 | Noceti N.
Caputo B.
Castellini C.
Baldassarre L.
Barla A.
Rosasco L.
Odone F.
Sandini G. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| The l1-l2regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines | 2009 | Fardin P.
Barla A.
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Verri A.
Varesio L. | BMC Genomics |
| Proton beam radiotherapy of uveal melanoma: Italian patients treated in Nice, France | 2009 | Mosci C.
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Barla A.
Squarcia S.
Chauvel P.
Iborra N. | European Journal of Ophthalmology |
| Deployment of a regularized feature selection framework on an overlay desktop grid | 2009 | Barla A.
Ferrante M. | HiBi09 - 2009 International Workshop on High Performance Computational Systems Biology |
| A method for robust variable selection with significance assessment | 2008 | Barla A.
Mosci S.
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Verri A. | ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning |
| Web 3D. La terza dimensione del design | 2008 | Vian A | vol. 1, p. 1-116, FIRENZE:Alinea Editrice, ISBN: 9788860552587 |
| Modellazione 3D per designer La Chaise Longue cent’anni dopo. | 2008 | Vian A | vol. 1, p. 1-144, FIRENZE:Alinea Editrice, ISBN: 9788860552488 |
| Modello per volumi semplici | 2008 | Vian A | In: GAMBARO C.. Architettura al calcolatore. vol. 1, p. 103-115, TORINO:CittàStudi, ISBN: 9788825173260 |
| Dagli schizzi cartacei ai disegni vettoriali preliminari | 2008 | Vian A | In: GAMBARO C.. Architettura al calcolatore. vol. 1, p. 45-57, TORINO:CittàStudi, ISBN: 9788825173260 |
| Render non fotorealistico | 2008 | Vian A | In: GAMBARO C.. Architettura al calcolatore. vol. 1, p. 117-134, TORINO:CittàStudi, ISBN: 9788825173260 |
| Vector valued regression for iron overload estimation | 2008 | Baldassarre L.
Barla A.
Gianesin B.
Marinelli M. | Proceedings - International Conference on Pattern Recognition |
| Machine learning methods for predictive proteomics | 2008 | Barla A.
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Furlanello C. | Briefings in Bioinformatics |
| Comunicare il progetto in 3D | 2008 | Vian A | p. 1-90, lulu, ISBN: 9781409202349 |
| Algebraic stability indicators for ranked lists in molecular profiling | 2008 | Jurman G.
Merler S.
Barla A.
Paoli S.
Galea A.
Furlanello C. | Bioinformatics |
| Finding structured gene signatures | 2008 | Mosci S.
Verri A.
Barla A.
Rosasco L. | Proceedings - 2008 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW |
| Rome reborn | 2007 | Vian A | GUD. GENOVA UNIVERSITÀ DESIGN, vol. 1, p. 114-117, ISSN: 1720-075X |
| A grid environment for high-throughput proteomics | 2007 | Cannataro M.
Barla A.
Flor R.
Jurman G.
Merler S.
Paoli S.
Tradigo G.
Veltri P.
Furlanello C. | IEEE Transactions on Nanobioscience |
| Muovere con un dito | 2006 | Vian A | In: PERICU S. A CURA DI. Urban mobility. Strategie, concept e comunicazione. vol. 1, p. 114-121, FIRENZE:Alinea Editrice, ISBN: 9788881259984 |
| Proteome profiling without selection bias | 2006 | Barla A.
Irler B.
Merler S.
Jurman G.
Paoli S.
Furlanello C. | Proceedings - IEEE Symposium on Computer-Based Medical Systems |
| Web tools to support image classification | 2005 | Odone F.
Barla A.
Franceschi E.
Verri A. | Proceedings of SPIE - The International Society for Optical Engineering |
| Building kernels from binary strings for image matching | 2005 | Odone F.
Barla A.
Verri A. | IEEE Transactions on Image Processing |
| Old fashioned state-of-the-art image classification | 2003 | Barla A.
Odone F.
Verri A. | Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003 |
| Histogram intersection kernel for image classification | 2003 | Barla A.
Odone F.
Verri A. | IEEE International Conference on Image Processing |
| Kernel-based 3D object representation | 2002 | Barla A.
Odone F. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Image kernels | 2002 | Barla A.
Franceschi E.
Odone F.
Verri A. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |