Artificial intelligence and network science as tools to illustrate academic research evolution in interdisciplinary fields: The case of Italian design | 2025 | Pretolesi
Daniele; Stanzani
Ilaria; Ravera
Stefano; Vian
Andrea; Barla
Annalisa | PLOS ONE |
NLP-based tools for localization of the epileptogenic zone in patients with drug-resistant focal epilepsy | 2024 | Mora
Sara; Turrisi
Rosanna; Chiarella
Lorenzo; Consales
Alessandro; Tassi
Laura; Mai
Roberto; Nobili
Lino; Barla
Annalisa; Arnulfo
Gabriele | SCIENTIFIC REPORTS |
AI-driven big web redesign: two case studies in Italian universities | 2024 | Vian
Andrea; Pretolesi
Daniele; Rampino
Lucia; Barla
Annalisa | Ital-Ia |
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices | 2024 | Turrisi
R.; Verri
A.; Barla
A. | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE |
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks | 2024 | Pretolesi
Daniele; Garbarino
Davide; Giampaoli
Daniele; Vian
Andrea; Barla
Annalisa | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING |
Mapping the evolution of design research: a data-driven analysis of interdisciplinary trends and intellectual landscape | 2024 | Vian
Andrea; Carella
Gianluca; Pretolesi
Daniele; Barla
Annalisa; Zurlo
Francesco | DRS Biennial Conference Series: DRS2024: Boston, 23–28 June, Boston, USA. |
Introducing temporal correlation in rainfall and wind prediction from underwater noise | 2023 | Trucco
A.; Barla
A.; Bozzano
R.; Pensieri
S.; Verri
A.; Solarna
D. | IEEE JOURNAL OF OCEANIC ENGINEERING |
An overview of data integration in neuroscience with focus on Alzheimer’s Disease | 2023 | Turrisi
R.; Squillario
M.; Abate
G.; Uberti
D.; Barla
A. | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS |
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks | 2023 | Pretolesi
Daniele; Garbarino
Davide; Giampaoli
Daniele; Vian
Andrea; Barla
Annalisa | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING |
AI-based component management system for structured content creation, annotation, and publication | 2022 | Barla
Annalisa; Cuneo
Marina; Nunzi
Simone Roberto; Paniati
Giorgia; Vian
Andrea | 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems |
Progettare la città del futuro oltre il visibile: intelligenza artificiale al servizio del cittadino per una esperienza personalizzata del contesto urbano | 2022 | Barla
Annalisa; Paniati
Giorgia; Vian
Andrea | GUD. GENOVA UNIVERSITÀ DESIGN |
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models | 2022 | Vincenzi
Elena; Fantazzini
Alice; Basso
Curzio; Barla
Annalisa; Odone
Francesca; Leo
Ludovica; Mecozzi
Laura; Mambrini
Martina; Ferrini
Erica; Sverzellati
Nicola; Stellari
Franco Fabio | RESPIRATORY RESEARCH |
A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis | 2022 | Trucco
A.; Bozzano
R.; Fava
E.; Pensieri
S.; Verri
A.; Barla
A. | IEEE JOURNAL OF OCEANIC ENGINEERING |
Where Do We Stand in Regularization for Life Science Studies? | 2022 | Tozzo
Veronica; Azencott
Chloé-Agathe; Fiorini
Samuele; Fava
Emanuele; Trucco
Andrea; Barla
Annalisa | JOURNAL OF COMPUTATIONAL BIOLOGY |
Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning | 2022 | Trucco
Andrea; Barla
Annalisa; Bozzano
Roberto; Fava
Emanuele; Pensieri
Sara; Verri
Alessandro; Solarna
David | IEEE JOURNAL OF OCEANIC ENGINEERING |
Attributed Graphettes-Based Preterm Infants Motion Analysis | 2022 | Garbarino
Davide; Moro
Matteo; Tacchino
Chiara; Moretti
Paolo; Casadio
Maura; Odone
Francesca; Barla
Annalisa | COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 1 COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 1 |
Predicting Tennis Match Outcomes with Network Analysis and Machine Learning | 2021 | Bayram
Firas; Garbarino
Davide; Barla
Annalisa | SOFSEM 2021: THEORY AND PRACTICE OF COMPUTER SCIENCE SOFSEM 2021: THEORY AND PRACTICE OF COMPUTER SCIENCE |
Epigenetic Regulation in Myelodysplastic Syndrome as A Consequence of A MicroRNA Dysregulation | 2021 | Avenoso
Daniele; Squillario
Margherita; Barla
Annalisa; Verri
Alessandro; Carminati
Enrico; Nurra
Clara; Todisco
Elisabetta; Gigli
Federica; Bertolini
Francesco; Gregato
Giuliana; Poletti
Claudia; Miglino
, et al. | |
A Robust Method for Statistical Testing of Empirical Power-Law Distributions | 2020 | Garbarino
Davide; Tozzo
Veronica; Vian
Andrea; Barla
Annalisa | Algorithms and Models for the Web Graph. WAW 2020. |
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease | 2020 | Squillario
Margherita; Abate
Giulia; Tomasi
Federico; Tozzo
Veronica; Barla
Annalisa; Uberti
Daniela | SCIENTIFIC REPORTS |
Transplantation Induces Profound Changes in the Transcriptional Asset of Hematopoietic Stem Cells: Identification of Specific Signatures Using Machine Learning Techniques | 2020 | Cilloni
Daniela; Petiti
Jessica; Campia
Valentina; Podestà
Marina; Squillario
Margherita; Montserrat
Nuria; Bertaina
Alice; Sabatini
Federica; Carturan
Sonia; Berger
Massimo; Saglio
Francesco; Bandini
, et al. | JOURNAL OF CLINICAL MEDICINE |
Temporal pattern detection in time-varying graphical models | 2020 | Tomasi
F.; Tozzo
V.; Barla
A. | 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) |
Multi-parameters Model Selection for Network Inference | 2020 | Tozzo
V.; Barla
A. | COMPLEX NETWORKS AND THEIR APPLICATIONS VIII, VOL 1 COMPLEX NETWORKS AND THEIR APPLICATIONS VIII, VOL 1 |
Missing Values in Multiple Joint Inference of Gaussian Graphical Models | 2020 | Tozzo
Veronica; Garbarino
Davide; Barla
Annalisa | 10th International Conference on Probabilistic Graphical Models |
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. | THE JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM |
Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings | 2020 | D'Amario
V.; Arnulfo
G.; Nobili
L.; Barla
A. | COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, CIBB 2018 COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, CIBB 2018 |
Paths of graduates from the University of Genoa (1990-2016) | 2019 | Barla
Annalisa; Fiorini
Samuele; Licaj
Ami; Vacanti
Annapaola; Vian
Andrea | IMG2019 -GRÀFICHE/-GRAPHICS |
Adenine: A HPC-oriented tool for biological data exploration | 2019 | Fiorini
Samuele; Tomasi
Federico; Squillario
Margherita; Barla
Annalisa | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Visual computing methods for assessing the well-being of older people | 2019 | Martini
C.; Odone
F.; Noceti
N.; Chessa
M.; Barla
A.; Verri
A.; Cella
A.; Pilotto
A.; Rollandi
G. A. | Communications in Computer and Information Science |
The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach | 2019 | Brichetto
G.; Monti Bragadin
M.; Fiorini
S.; Battaglia
M. A.; Konrad
G.; Ponzio
M.; Pedulla
L.; Verri
A.; Barla
A.; Tacchino
A. | NEUROLOGICAL SCIENCES |
Secondary Somatic Mutations in G-Protein-Related Pathways and Mutation Signatures in Uveal Melanoma | 2019 | Piaggio
Francesca; Tozzo
Veronica; Bernardi
Cinzia; Croce
Michela; Puzone
Roberto; Viaggi
Silvia; Patrone
Serena; Barla
Annalisa; Coviello
Domenico; J. Jager
Martine; van der Velden
Pieter A.; Zeschnigk
, et al. | CANCERS |
Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network | 2019 | Fiorini
Samuele; Hajati
Farshid; Barla
Annalisa; Girosi
Federico | PLOS ONE |
Next Generation Sequencing and Microrna Assay in a Cohort of Patients Affected By Myelodysplastic Syndromes. an Analysis of Clinical and Genotypic Features | 2019 | Avenoso
Daniele; Squillario
Margherita; Barla
Annalisa; Verri
Alessandro; Carminati
Enrico; Nurra
Clara; Todisco
Elisabetta; Gigli
Federica; Gregato
Giuliana; Poletti
Claudia; Bertolini
Francesco; Mufti
, et al. | BLOOD |
Icing: Large-scale inference of immunoglobulin clonotypes | 2019 | Tomasi
Federico; Squillario
Margherita; Verri
Alessandro; Bagnara
Davide; Barla
Annalisa | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
How many mutations does it take to make a uveal melanoma? | 2019 | Piaggio
Francesca; Tozzo
Veronica; Bernardi
Cinzia; Croce
Michela; LO SICCO
Claudia; Gangemi
Rosaria; Puzone
Roberto; Viaggi
Silvia; Patrone
Serena; Barla
Annalisa; Coviello
Domenico; Jager
, et al. | Archives of Clinical and Experimental Ophthalmology |
Discrete Changes in Glucose Metabolism Define Aging | 2019 | Ravera
Silvia; Podestà
Marina; Sabatini
Federica; Dagnino
Monica; Cilloni
Daniela; Fiorini
Samuele; Barla
Annalisa; Frassoni
Francesco | 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
, et al. | FRONTIERS IN IMMUNOLOGY |
Development of a smart post-hospitalization facility for older people by using domotics, robotics, and automated tele-monitoring | 2019 | Pilotto
Alberto; Verri
Alessandro; Rollandi
Gian Andrea; Casiddu
Niccolò; Odone
Francesca; Veronese
Nicola; Puntoni
Matteo; Porfirione
Claudia; Barla
Annalisa; Femia
Rosetta; Pericu
Silvia; Martini
, et al. | GERIATRIC CARE |
Cancer mutational signatures identification with sparse dictionary learning | 2019 | Tozzo
Veronica; Barla
Annalisa | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
A visual computing approach for estimating the motility index in the frail elder | 2018 | Martini
Chiara; Noceti
Nicoletta; Chessa
Manuela; Barla
Annalisa; Cella
Alberto; Rollandi
GIAN ANDREA; Pilotto
Alberto; Verri
Alessandro; Odone
Francesca | PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2018), VOL 5: VISAPP PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2018), VOL 5: VISAPP |
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
Silvia; Squillario
Margherita; Greppi
Marco; Loiacono
Fabrizio; Moretta
Lorenzo; Moretta
Alessandro; Sivori
Simona; Castagnola
Patrizio; Barla
Annalisa; Candiani
Simona; Marcenaro
Emanuela | FRONTIERS IN IMMUNOLOGY |
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
Silvia; Squillario
Margherita; Greppi
Marco; Loiacono
Fabrizio; Moretta
Lorenzo; Moretta
Alessandro; Sivori
Simona; Castagnola
Patrizio; Barla
Annalisa; Candiani
Simona; Marcenaro
Emanuela | FRONTIERS IN IMMUNOLOGY FRONTIERS IN IMMUNOLOGY |
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy | 2018 | D'Amario
Vanessa; Tomasi
Federico; Tozzo
Veronica; Arnulfo
Gabriele; Barla
Annalisa; Nobili
Lino | 3rd Machine Learning for Healthcare Conference |
Hey there's DALILA: a DictionAry LearnIng LibrAry | 2018 | Tozzo
Veronica; D'Amario
Vanessa; Barla
Annalisa | 2017 Imperial College Computing Student Workshop (ICCSW 2017) |
Data-Driven Continuous Assessment of Frailty in Older People | 2018 | Martini
Chiara; Barla
Annalisa; Odone
Francesca; Verri
Alessandro; Cella
Alberto; Rollandi
Gian Andrea; Pilotto
Alberto | FRONTIERS IN DIGITAL HUMANITIES |
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes | 2017 | Fiorini
Samuele; Verri
Alessandro; Barla
Annalisa; Tacchino
Andrea; Brichetto
Giampaolo | Proceedings of the 2nd Machine Learning for Healthcare Conference |
Data-driven strategies for robust forecast of continuous glucose monitoring time-series | 2017 | Fiorini
Samuele; Martini
Chiara; Malpassi
Davide; Cordera
Renzo; Maggi
Davide; Verri
Alessandro; Barla
Annalisa | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Predicting multiple sclerosis disease course with patient centred outcomes (PCOs): a machine learning approach | 2016 | Brichetto
Giampaolo; Fiorini
Samuele; Ponzio
M; Barla
Annalisa; Verri
Alessandro; Tacchino
Andrea | MULTIPLE SCLEROSIS JOURNAL MULTIPLE SCLEROSIS JOURNAL |
PALLADIO: A parallel framework for robust variable selection in high-dimensional data | 2016 | Barbieri
Matteo; Fiorini
Samuele; Tomasi
Federico; Barla
Annalisa | PROCEEDINGS OF PYHPC2016: 6TH WORKSHOP ON PYTHON FOR HIGH-PERFORMANCE AND SCIENTIFIC COMPUTING PROCEEDINGS OF PYHPC2016: 6TH WORKSHOP ON PYTHON FOR HIGH-PERFORMANCE AND SCIENTIFIC COMPUTING |
Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge | 2016 | Squillario
Margherita; Barbieri
Matteo; Verri
Alessandro; Barla
Annalisa | MICROARRAYS |
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes | 2015 | Fiorini
Samuele; Verri
Alessandro; Tacchino
Andrea; Ponzio
Michela; Brichetto
Giampaolo; Barla
Annalisa | IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS |
L’Ora del Codice è arrivata a Genova! | 2015 | Ancona
Davide; Barla
Annalisa; Catania
Barbara; Delzanno
Giorgio; Guerrini
Giovanna; Mascardi
Viviana; Odone
Francesca; Ribaudo
Marina | MONDO DIGITALE |
Improving disease course detection in multiple sclerosis: an alternative patient-reported outcomes-based strategy | 2015 | Brichetto
Giampaolo; Fiorini
Samuele; Tacchino
Andrea; Ponzio
Michela; Barla
Annalisa; Verri
Alessandro | MULTIPLE SCLEROSIS |
Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm | 2015 | Masecchia
Salvatore; Coco
Simona; Barla
Annalisa; Verri
Alessandro; Tonini
Gian Paolo | BMC MEDICAL GENOMICS |
Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies. | 2015 | Tortolina
Lorenzo; Duffy
Dj; Maffei
Massimo; Castagnino
Nicoletta; Carmody
Am; Kolch
W; Kholodenko
Bn; DE AMBROSI
Cristina; Barla
A; Biganzoli
Em; Nencioni
Alessio; Patrone
, et al. | ONCOTARGET |
A Machine Learning Pipeline for Identification of Discriminant Pathways | 2014 | Barla
Annalisa; G.
Jurman; R.
Visintainer; Squillario
Margherita; M.
Filosi; S.
Riccadonna; C.
Furlanello | SPRINGER HANDBOOK OF BIO-/NEUROINFORMATICS SPRINGER HANDBOOK OF BIO-/NEUROINFORMATICS |
Quantitative echography in primary uveal melanoma treated by proton beam therapy. | 2014 | C.
Mosci; F. B.
Lanza; Mosci
Sofia; Barla
Annalisa | CANADIAN JOURNAL OF OPHTHALMOLOGY-JOURNAL CANADIEN D OPHTALMOLOGIE |
The Use of Platelet-rich Plasma Gel in Patients with Mixed Tumour Undergoing Superficial Parotidectomy: A Randomized Study | 2014 | M.
Scala; P.
Mereu; Spagnolo
Francesco; Massa
Michela; Barla
Annalisa; Mosci
Sofia; G.
Forno; A.
Ingenito; P.
Strada | IN VIVO |
Regularized Dictionary Learning | 2014 | Barla
Annalisa; Salzo
Saverio; Verri
Alessandro | Regularization, Optimization, Kernels, and Support Vector Machines |
Regenerative Medicine for the Treatment of Teno-desmic Injuries of the Equine. A Series of 150 Horses Treated with Platelet-derived Growth Factors | 2014 | M.
Scala; S.
Lenarduzzi; F.
Spagnolo; Trapasso
Maria; C.
Ottonello; A.
Muraglia; Barla
Annalisa; P.
Strada | IN VIVO |
Identification of Pathway Signatures in Parkinson’s Disease with Gene Ontology and Sparse Regularization | 2014 | Squillario
Margherita; Zycinski
Grzegorz; Barla
Annalisa; Verri
Alessandro | COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS: 10TH INTERNATIONAL MEETING COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS: 10TH INTERNATIONAL MEETING |
Alternating proximal regularized dictionary learning. | 2014 | Salzo
Saverio; Masecchia
Salvatore; Verri
Alessandro; Barla
Annalisa | NEURAL COMPUTATION |
A dictionary learning based method for aCGH segmentation | 2013 | Masecchia
Salvatore; Salzo
Saverio; Barla
Annalisa; Verri
Alessandro | ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
Regenerative surgery for the definitive repair of chronic ulcers: a series of 34 cases treated with platelet-derived growth factors. | 2013 | Spagnolo
Francesco; Trapasso
Maria; S.
Monteghirfo; Barla
Annalisa; M.
Scala | PLASTIC AND RECONSTRUCTIVE SURGERY |
Parameter Space Exploration within Dynamic Simulations of Signaling Networks | 2013 | C.
De Ambrosi; Barla
Annalisa; Tortolina
Lorenzo; Castagnino
Nicoletta; R.
Pesenti; Verri
Alessandro; Ballestrero
Alberto; Patrone
Franco; Parodi
Silvio | MATHEMATICAL BIOSCIENCES AND ENGINEERING |
Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas | 2013 | S.
Mascelli; Barla
Annalisa; A.
Raso; Mosci
Sofia; P.
Nozza; R.
Biassoni; G.
Morana; M.
Huber; C.
Mircean; D.
Fasulo; K.
Noy; G.
, et al. | BMC CANCER |
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data | 2013 | Zycinski
Grzegorz; Barla
Annalisa; Squillario
Margherita; T.
Sanavia; B.
Di Camillo; Verri
Alessandro | SOURCE CODE FOR BIOLOGY AND MEDICINE |
Identifying relevant gene functions in Parkinson’s disease: a comparison between analysis pipelines. | 2013 | Squillario
Margherita; Zycinski
Grzegorz; Barla
Annalisa; Verri
Alessandro | CIBB 2013 |
Dictionary learning improves subtyping of breast cancer aCGH data | 2013 | Masecchia
Salvatore; Barla
Annalisa; Salzo
Saverio; Verri
Alessandro | 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
A Distinct Gene-Expression Profile in Pediatric Ganglioglioma | 2012 | Samantha
Mascelli; Alessandro
Raso; Barla
Annalisa; Paolo
Nozza; Roberto
Biassoni; Sara
Pignatelli; Cama
Armando; Verri
Alessandro; Valeria
Capra; Marialuisa
Garrè | NEURO-ONCOLOGY NEURO-ONCOLOGY |
A Machine Learning Pipeline For Discriminant Pathways Identification | 2012 | Barla
Annalisa; G.
Jurman; R.
Visintainer; Squillario
Margherita; M.
Filosi; S.
Riccadonna; C.
Furlanello | Computational Intelligence Methods for Bioinformatics and Biostatistics - 8th International Meeting, CIBB 2011,Gargnano-Lago di Garda, Italy, June 30-July 2, 2011, Selected revised papers |
Multi-Output Learning via Spectral Filtering | 2012 | Baldassarre
L; Rosasco
Lorenzo; Barla
Annalisa; Verri
Alessandro | MACHINE LEARNING |
Inferring oncogenetic tree-models from aCGH of metastatic neuroblastoma | 2012 | Masecchia
Salvatore; Barla
Annalisa; Squillario
Margherita; Simona
Coco; Verri
Alessandro; Gian Paolo
Tonini | 11th European Conference on Computational Biology |
Effect of Size and Heterogeneity of Samples on Biomarker Discovery: Synthetic and Real Data Assessment | 2012 | Barbara Di
Camillo; Tiziana
Sanavia; Matteo
Martini; Giuseppe
Jurman; Francesco
Sambo; Barla
Annalisa; Squillario
Margherita; Cesare
Furlanello; Gianna
Toffolo; Claudio
Cobelli | PLOS ONE |
Dynamic simulations of pathways downstream of TGF-β , Wnt and EGF-family grow- th factors, in colorectal cancer, including mutations and treatments with onco-protein inhibitors | 2012 | Tortolina
Lorenzo; Castagnino
Nicoletta; DE AMBROSI
Cristina; Barla
Annalisa; Verri
Alessandro; Zoppoli
Gabriele; Bagnasco
Luca; D.
Piras; Patrone
Franco; Ballestrero
Alberto; Parodi
Silvio | New Challenges for Cancer Systems Biomedicine |
Dynamic simulations of pathways downstream of TGF-beta , Wnt and EGF-family growth factors, in colorectal cancer, including mutations and treatments with onco-protein inhibitors | 2012 | Tortolina
Lorenzo; Castagnino
Nicoletta; Ambrosi
C. De; Barla
Annalisa; Verri
Alessandro; Zoppoli
G.; Bagnasco
Luca; Piras
Daniela; Patrone
Franco; Ballestrero
Alberto | CURRENT CANCER DRUG TARGETS CURRENT CANCER DRUG TARGETS |
Discriminant functional gene groups identification with machine learning and prior knowledge | 2012 | Zycinski
Grzegorz; Squillario
Margherita; Barla
Annalisa; T.
Sanavia; Verri
Alessandro; B.
Di Camillo | The 20 th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings |
Comparison of clinical outcomes for patients with large choroidal melanoma after primary treatment with enucleation or proton beam radiotherapy. | 2012 | Mosci
C; Lanza
Fb; Barla
Annalisa; Mosci
Sofia; Hérault
J; Anselmi
L; Truini
M. | OPHTHALMOLOGICA |
Analysis of a Parkinson’s dataset: comparison between KDVS and the Standard pipeline | 2012 | Squillario
Margherita; Zycinski
Grzegorz; Masecchia
Salvatore; Verri
Alessandro; Barla
Annalisa | 11th European Conference on Computational Biology |
A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study | 2011 | Margherita
Squillario; Barla
Annalisa | BMC MEDICAL GENOMICS |
A machine learning pipeline for discriminant pathways identification | 2011 | Barla
Annalisa; G.
Jurman; R.
Visintainer; Squillario
Margherita; M.
Filosi; S.
Riccadonna; C.
Furlanello | CIBB 2011 |
A molecular based subtyping in juvenile idiopathic arthritis (JIA) | 2011 | Squillario
Margherita; Malattia
Clara; Basso
Curzio; Barla
Annalisa | 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology |
Uncovering Candidate Biomarkers for Alzheimer's and Parkison's Diseases with Regularization Methods and Prior Knowledge | 2011 | Squillario
Margherita; Masecchia
Salvatore; Zycinski
Grzegorz; Barla
Annalisa | Proceedings of AD/PD 2011 |
SVS: Data and knowledge integration in computational biology | 2011 | Zycinski
Grzegorz; Barla
Annalisa; Verri
Alessandro | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Parameter Space Exploration within Dynamic Simulations of a Signaling Network Downstream of TGF-beta, WNT and EGF-family growth factors, with reference to colorectal cancer | 2011 | Barla
Annalisa; DE AMBROSI
Cristina; Tortolina
Lorenzo; Castagnino
Nicoletta; Pesenti
R.; Verri
Alessandro; Ballestrero
Alberto; Patrone
F.; Parodi
S. | Workshop on MATHEMATICAL ONCOLOGY: NEW CHALLENGES FOR SYSTEMS BIOMEDICINE |
Gene Ontology based classification improves prediction and gene signature interpretability. | 2011 | Tiziana
Sanavia; Aler
Crepaldi; Barla
Annalisa; Barbara Di
Camillo | NETTAB 2011 |
Effects of Parameter Space Exploration within Dynamic Simulations of Pathways Downstream of Erbb-family on Breast Cancer | 2011 | DE AMBROSI
Cristina; Tortolina
Lorenzo; Castagnino
Nicoletta; R.
Pesenti; Barla
Annalisa; Verri
Alessandro; Ballestrero
Alberto; Parodi
Silvio | 8th Annual Meeting of the Bioinformatics Italian Society |
Dynamic Simulations of Pathway Cross-talks Relevant in Colorectal Cancer: A Quantitative Parameter Sensitivity Analysis | 2011 | DE AMBROSI
Cristina; Barla
Annalisa; Tortolina
Lorenzo; Castagnino
Nicoletta; R.
Pesenti; Verri
Alessandro; Ballestrero
Alberto; Patrone
Franco; Parodi
Silvio | Network Tools and Applications in Biology (NETTAB) Workshop |
A Biology-driven Approach Identifies the Hypoxia Gene Signature as a Predictor of the Outcome of Neuroblastoma Patients | 2010 | Fardin
P; Barla
Annalisa; Mosci
Sofia; Rosasco
Lorenzo; Verri
Alessandro; Caron
H; Molenaar
J; Ora
I; Eva
A; Puppo
M; Varesio
L. | MOLECULAR CANCER |
Vector Field Learning via Spectral Filtering | 2010 | Baldassarre
L; Rosasco
Lorenzo; Barla
Annalisa; Verri
Alessandro | MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I |
Specific gene expression signatures of low-grade gliomas (LGG) | 2010 | Mascelli
S.; Raso
A.; Nozza
P.; Pignatelli
S.; Biassoni
R.; Barla
Annalisa; Mosci
Sofia; Rosasco
Lorenzo; Verri
Alessandro; Wittenberg
G.; Noy
K.; Mircean
, et al. | NEURO-ONCOLOGY NEURO-ONCOLOGY |
Learning how to grasp objects | 2010 | Barla
Annalisa; L.
Baldassarre; Noceti
Nicoletta; Odone
Francesca | Proc. of ESANN, European Symposium on Artificial Neural Net |
L1-L2 regularization framework for Alzheimer’s molecular characterization | 2010 | Barla
Annalisa; Masecchia
Salvatore; Squillario
Margherita | 18th Annual International Conference on Intelligent Systems for Molecular Biology |
Identification of Multiple Hypoxia Signatures in Neuroblastoma Cell Lines by l1-l2 Regularization and Data Reduction | 2010 | Fardin
P; Cornero
A; Barla
Annalisa; Mosci
Sofia; Acquaviva
M; Rosasco
Lorenzo; Gambini
C; Verri
Alessandro; Varesio
L. | JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY |
Functional characterization of Parkinson by high-throughput data analysis with l1l2 regularization | 2010 | Squillario
Margherita; Masecchia
Salvatore; Barla
Annalisa | 9th European Conference on Computational Biology |
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment | 2010 | Di Camillo
B.; Martini
M; Sanavia
T; Jurman
G; Sambo
F; Barla
Annalisa; Squillario
Margherita; Furlanello
C; Toffolo
G; Cobelli
C. | PLOS ONE PLOS ONE |
Combining l1-l2 regularization with biological prior for multi-level hypoxia signature in Neuroblastoma | 2010 | Barla
Annalisa; Mosci
Sofia; Rosasco
Lorenzo; Verri
Alessandro; P.
Fardin; A.
Cornero; M.
Acquaviva; L.
Varesio | Workshop on Machine Learning in Systems Biology |
Towards a theoretical framework for learning multi-modal patterns for embodied agents | 2009 | Noceti
Nicoletta; B.
Caputo; C.
Castellini; L.
Baldassarre; Barla
Annalisa; Rosasco
Lorenzo; Odone
Francesca; Sandini
Giulio | IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS |
The l1-l2 Regularization Framework Unmasks the Hypoxia Signature Hidden in the Transcriptome of a Set of Heterogenous Neuroblastoma Cell Lines | 2009 | Fardin
P; Barla
Annalisa; Mosci
Sofia; Rosasco
Lorenzo; Verri
Alessandro; Varesio
L. | BMC GENOMICS |
Proton beam radiotherapy of uveal melanoma: Italian patients treated in Nice, France. | 2009 | C.
Mosci; Mosci
Sofia; Barla
Annalisa; Squarcia
Sandro; P.
Chauvel; N.
Iborra | EUROPEAN JOURNAL OF OPHTHALMOLOGY |
Deployment of a Regularized Feature Selection Framework on an Overlay Desktop Grid | 2009 | Barla
Annalisa; Ferrante
Marco | 2009 INTERNATIONAL WORKSHOP ON HIGH PERFORMANCE COMPUTATIONAL SYSTEMS BIOLOGY, PROCEEDINGS 2009 INTERNATIONAL WORKSHOP ON HIGH PERFORMANCE COMPUTATIONAL SYSTEMS BIOLOGY, PROCEEDINGS |
A Method for Robust Variable Selection with Significance Assessment | 2008 | Barla
Annalisa; Mosci
Sofia; Rosasco
Lorenzo; Verri
Alessandro | 16th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 23-25, 2008, Proceedings |
Finding structured gene signatures | 2008 | Mosci
Sofia; Barla
Annalisa; Verri
Alessandro; Rosasco
Lorenzo | 2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS 2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS |
Vector valued regression for iron overload estimation2008 19th International Conference on Pattern Recognition | 2008 | Luca
Baldassarre; Barla
Annalisa; Gianesin
Barbara; Marinelli
Mauro | 2008 19th International Conference on Pattern Recognition |
Machine learning methods for predictive proteomics | 2008 | Barla
Annalisa; G.
Jurman; S.
Riccadonna; S.
Merler; M.
Chierici; C.
Furlanello | BRIEFINGS IN BIOINFORMATICS |
Algebraic stability indicators for ranked lists in molecular profiling | 2008 | G.
Jurman; S.
Merler; Barla
Annalisa; S.
Paoli; A.
Galea; C.
Furlanello | BIOINFORMATICS |
A Grid Environment for High-Throughput Proteomics | 2007 | Mario
Cannataro; Barla
Annalisa; Roberto
Flor; Giuseppe
Jurman; Stefano
Merler; Silvano
Paoli; Giuseppe
Tradigo; Pierangelo
Veltri; Cesare
Furlanello | IEEE TRANSACTIONS ON NANOBIOSCIENCE |
Semisupervised multiband segmentation for predictive proteomic analysis. | 2007 | Barla
Annalisa; B.
Irler; S.
Paoli; G.
Jurman; S.
Merler; C.
Furlanello | Congress of European Proteomics Association |
Classificazione predittiva per il profiling proteomico | 2007 | G.
Jurman; Barla
Annalisa; S.
Riccadonna; C.
Furlanello | Genomica e Proteomica Computazionale |
Proteome Profiling without Selection Bias | 2006 | Barla
Annalisa; B.
Irler; S.
Merler; G.
Jurman; S.
Paoli; C.
Furlanello | 19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS 19TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS |
Web Tools to Support Image Classification | 2005 | Odone
Francesca; Barla
Annalisa; Franceschi
E; Verri
Alessandro | Internet Imaging VI Internet Imaging VI |
Building Kernels from Binary Strings for Image Matching | 2005 | Odone
Francesca; Barla
Annalisa; Verri
Alessandro | IEEE TRANSACTIONS ON IMAGE PROCESSING |
Old Fashioned State-of-the-art Image Classification | 2003 | Barla
Annalisa; Odone
Francesca; Verri
Alessandro | 12TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS 12TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS |
Histogram Intersection Kernel for Image Classification | 2003 | Barla
Annalisa; Odone
Francesca; Verri
Alessandro | 2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS 2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS |
Kernel-based 3D Object Representation, | 2002 | Barla
Annalisa; Odone
Francesca | ARTIFICIAL NEURAL NETWORKS - ICANN 2002 ARTIFICIAL NEURAL NETWORKS - ICANN 2002 |
Image Kernels | 2002 | Barla
Annalisa; Franceschi
E; Odone
Francesca; Verri
Alessandro | PATTERN RECOGNITION WITH SUPPORT VECTOR MACHINES, PROCEEDINGS PATTERN RECOGNITION WITH SUPPORT VECTOR MACHINES, PROCEEDINGS |
Hausdorff Kernel for 3D Object Acquisition and Detection | 2002 | Barla
Annalisa; Odone
Francesca; Verri
Alessandro | COMPUTER VISION - ECCV 2002, PT IV COMPUTER VISION - ECCV 2002, PT IV |
Metodo e sistema di user-centered design per strutturazione ed aggiornamento automatico di contenuti informativi | 2019-11-05 | Barla
Annalisa; Vian
Andrea; Nunzi
Simone | |