| Tracking Interdisciplinary Patterns in Italian Computer Science Networks | 2026 | Pretolesi, Daniele; Monteverde, Marco; Lupi, Federico; Vian, Andrea; Barla, Annalisa | Complex Networks & Their Applications XIV. COMPLEX NETWORKS 2025. Studies in Computational Intelligence |
| Supervised EEG-Based Vigilance State Classification in Preterm Infants | 2026 | Burlando, Gaia; Marazzotta, Valentina; Lanino, Sara; Uccella, Sara; Barla, Annalisa; Ramenghi, Luca A.; Nobili, Lino; Arnulfo, Gabriele | 12th Annual International IEEE/EMBS Conference on Neural Engineering, NER 2025 |
| 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 |
| Mapping the evolution of design research: a data-driven analysis of interdisciplinary trends and intellectual landscape | 2025 | Vian, Andrea; Carella, Gianluca; Pretolesi, Daniele; Barla, Annalisa; Zurlo, Francesco | DRS Biennial Conference Series: DRS2024: Boston, 23–28 June, Boston, USA. |
| 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 |
| AI-driven big web redesign: two case studies in Italian universities | 2024 | Vian, Andrea; Pretolesi, Daniele; Rampino, Lucia; Barla, Annalisa | Ital-Ia |
| 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 |
| 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 |
| 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 |
| Progettare la città del futuro oltre il visibile: intelligenza artificiale al servizio del cittadino per una esperienza personalizzata del contesto urbano | 2023 | Barla, Annalisa; Paniati, Giorgia; Vian, Andrea | GUD. GENOVA UNIVERSITÀ DESIGN |
| Temporal pattern detection in time-varying graphical models | 2023 | Tomasi, F.; Tozzo, V.; Barla, A. | 25th International Conference on Pattern Recognition, ICPR 2020 |
| A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study | 2022 | Margherita, Squillario; Barla, Annalisa | BMC MEDICAL GENOMICS |
| 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 |
| 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 |
| Alternating proximal regularized dictionary learning. | 2022 | Salzo, Saverio; Masecchia, Salvatore; Verri, Alessandro; Barla, Annalisa | NEURAL COMPUTATION |
| 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 |
| 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 |
| Icing: Large-scale inference of immunoglobulin clonotypes | 2022 | 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) |
| Improving disease course detection in multiple sclerosis: an alternative patient-reported outcomes-based strategy | 2022 | Brichetto, Giampaolo; Fiorini, Samuele; Tacchino, Andrea; Ponzio, Michela; Barla, Annalisa; Verri, Alessandro | MULTIPLE SCLEROSIS |
| Epigenetic Regulation in Myelodysplastic Syndrome as A Consequence of A MicroRNA Dysregulation | 2022 | Avenoso, Daniele; Squillario, Margherita; Barla, Annalisa; Verri, Alessandro; Carminati, Enrico; Nurra, Clara; Todisco, Elisabetta; Gigli, Federica; Bertolini, Francesco; Gregato, Giuliana; Poletti, … | |
| Visual computing methods for assessing the well-being of older people | 2022 | 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 |
| 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 |
| Missing Values in Multiple Joint Inference of Gaussian Graphical Models | 2022 | Tozzo, Veronica; Garbarino, Davide; Barla, Annalisa | 10th International Conference on Probabilistic Graphical Models |
| Multi-Output Learning via Spectral Filtering | 2022 | Baldassarre, L; Rosasco, Lorenzo; Barla, Annalisa; Verri, Alessandro | MACHINE LEARNING |
| Next Generation Sequencing and Microrna Assay in a Cohort of Patients Affected By Myelodysplastic Syndromes. an Analysis of Clinical and Genotypic Features | 2022 | Avenoso, Daniele; Squillario, Margherita; Barla, Annalisa; Verri, Alessandro; Carminati, Enrico; Nurra, Clara; Todisco, Elisabetta; Gigli, Federica; Gregato, Giuliana; Poletti, Claudia; Bertolini, … | BLOOD |
| Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy | 2022 | D'Amario, Vanessa; Tomasi, Federico; Tozzo, Veronica; Arnulfo, Gabriele; Barla, Annalisa; Nobili, Lino | 3rd Machine Learning for Healthcare Conference |
| 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 |
| How many mutations does it take to make a uveal melanoma? | 2021 | Piaggio, Francesca; Tozzo, Veronica; Bernardi, Cinzia; Croce, Michela; LO SICCO, Claudia; Gangemi, Rosaria; Puzone, Roberto; Viaggi, Silvia; Patrone, Serena; Barla, Annalisa; Coviello, Domenico; … | Archives of Clinical and Experimental Ophthalmology |
| Paths of graduates from the University of Genoa (1990-2016) | 2021 | Barla, Annalisa; Fiorini, Samuele; Licaj, Ami; Vacanti, Annapaola; Vian, Andrea | IMG2019 -GRÀFICHE/-GRAPHICS |
| 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 | 2021 | Tortolina, L.; Castagnino, N.; De Ambrosi, C.; Barla, A.; Verri, A.; Zoppoli, G.; Bagnasco, L.; Piras, D.; Patrone, F.; Ballestrero, A. | New challenges for cancer systems biomedicine |
| Metodo e sistema di user-centered design per strutturazione ed aggiornamento automatico di contenuti informativi | 2021 | Barla, Annalisa; Vian, Andrea; Nunzi, Simone | |
| 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 |
| Data-driven strategies for robust forecast of continuous glucose monitoring time-series | 2020 | 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) |
| 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. |
| Finding structured gene signatures | 2020 | Mosci, Sofia; Barla, Annalisa; Verri, Alessandro; Rosasco, Lorenzo | 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops |
| 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, … | JOURNAL OF CLINICAL MEDICINE |
| Multi-parameters Model Selection for Network Inference | 2020 | Tozzo, V.; Barla, A. | Studies in Computational Intelligence |
| New miRNA signature heralds human NK cell subsets at different maturation steps: involvement of miR-
146a-5p in the regulation of KIR expression | 2020 | Pesce, Silvia; Squillario, Margherita; Greppi, Marco; Loiacono, Fabrizio; Moretta, Lorenzo; Moretta, Alessandro; Sivori, Simona; Castagnola, Patrizio; Barla, Annalisa; Candiani, Simona; Marcenaro, … | KIR WORKSHOP 2018 |
| 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.; Pedulla, L.; Verri, A.; Barla, A.; Tacchino, A. | NEUROLOGICAL SCIENCES |
| 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) |
| Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies. | 2019 | Tortolina, Lorenzo; Duffy, Dj; Maffei, Massimo; Castagnino, Nicoletta; Carmody, Am; Kolch, W; Kholodenko, Bn; DE AMBROSI, Cristina; Barla, A; Biganzoli, Em; Nencioni, Alessio; Patrone, Franco; … | ONCOTARGET |
| 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 |
| 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) |
| 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; … | GERIATRIC CARE |
| 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.; De Cian, F.; Marcenaro, E. | FRONTIERS IN IMMUNOLOGY |
| 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 |
| 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 … | CANCERS |
| Temporal prediction of multiple sclerosis evolution from patient-centered outcomes | 2019 | Fiorini, Samuele; Verri, Alessandro; Barla, Annalisa; Tacchino, Andrea; Brichetto, Giampaolo | Proceedings of the 2nd Machine Learning for Healthcare Conference |
| 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 | VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018; Funchal, Madeira; Portugal; 27 January 2018 through 29 January 2018; Code 134881 |
| 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 |
| Hey there's DALILA: a DictionAry LearnIng LibrAry | 2018 | Tozzo, Veronica; D'Amario, Vanessa; Barla, Annalisa | 2017 Imperial College Computing Student Workshop (ICCSW 2017) |
| Parameter Space Exploration within Dynamic Simulations of Signaling Networks | 2018 | C., De Ambrosi; Barla, Annalisa; Tortolina, Lorenzo; Castagnino, Nicoletta; R., Pesenti; Verri, Alessandro; Ballestrero, Alberto; Patrone, Franco; Parodi, Silvio | MATHEMATICAL BIOSCIENCES AND ENGINEERING |
| A Distinct Gene-Expression Profile in Pediatric Ganglioglioma | 2017 | Samantha, Mascelli; Alessandro, Raso; Barla, Annalisa; Paolo, Nozza; Roberto, Biassoni; Sara, Pignatelli; Cama, Armando; Verri, Alessandro; Valeria, Capra; Marialuisa, Garrè | ISPNO 2012 |
| A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes | 2017 | Fiorini, Samuele; Verri, Alessandro; Tacchino, Andrea; Ponzio, Michela; Brichetto, Giampaolo; Barla, Annalisa | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
| A dictionary learning based method for aCGH segmentation | 2017 | Masecchia, Salvatore; Salzo, Saverio; Barla, Annalisa; Verri, Alessandro | ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning |
| A molecular based subtyping in juvenile idiopathic arthritis (JIA) | 2017 | 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 |
| Identification of Pathway Signatures in Parkinson’s Disease with Gene Ontology and Sparse Regularization | 2017 | Squillario, Margherita; Zycinski, Grzegorz; Barla, Annalisa; Verri, Alessandro | Computational Intelligence Methods for Bioinformatics and Biostatistics |
| Predicting multiple sclerosis disease course with patient centred outcomes (PCOs): a machine learning approach | 2017 | Brichetto, Giampaolo; Fiorini, Samuele; Ponzio, M; Barla, Annalisa; Verri, Alessandro; Tacchino, Andrea | ECTRIMS 2016 |
| Regularized Dictionary Learning | 2017 | Barla, Annalisa; Salzo, Saverio; Verri, Alessandro | Regularization, Optimization, Kernels, and Support Vector Machines |
| Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge | 2017 | Squillario, Margherita; Barbieri, Matteo; Verri, Alessandro; Barla, Annalisa | MICROARRAYS |
| PALLADIO: A parallel framework for robust variable selection in high-dimensional data | 2017 | Barbieri, Matteo; Fiorini, Samuele; Tomasi, Federico; Barla, Annalisa | 6th Workshop on Python for High-Performance and Scientific Computing, PyHPC 2016 |
| Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas | 2017 | S., Mascelli; Barla, Annalisa; A., Raso; Mosci, Sofia; P., Nozza; R., Biassoni; G., Morana; M., Huber; C., Mircean; D., Fasulo; K., Noy; G., Wittemberg; S., Pignatelli; G., Piatelli; Cama, Armando; M. … | BMC CANCER |
| Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm | 2016 | Masecchia, Salvatore; Coco, Simona; Barla, Annalisa; Verri, Alessandro; Tonini, Gian Paolo | BMC MEDICAL GENOMICS |
| Hausdorff Kernel for 3D Object Acquisition and Detection | 2016 | Barla, Annalisa; Odone, Francesca; Verri, Alessandro | 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings. LNCS 2353 |
| Identification of Multiple Hypoxia Signatures in Neuroblastoma Cell Lines by l1-l2 Regularization and Data Reduction | 2016 | Fardin, P; Cornero, A; Barla, Annalisa; Mosci, Sofia; Acquaviva, M; Rosasco, Lorenzo; Gambini, C; Verri, Alessandro; Varesio, L. | JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY |
| Image Kernels | 2016 | Barla, Annalisa; Franceschi, E; Odone, Francesca; Verri, Alessandro | Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, August 10, 2002, Proceedings. LNCS 2388 |
| L’Ora del Codice è arrivata a Genova! | 2016 | Ancona, Davide; Barla, Annalisa; Catania, Barbara; Delzanno, Giorgio; Guerrini, Giovanna; Mascardi, Viviana; Odone, Francesca; Ribaudo, Marina | MONDO DIGITALE |
| Building Kernels from Binary Strings for Image Matching | 2016 | Odone, Francesca; Barla, Annalisa; Verri, Alessandro | IEEE TRANSACTIONS ON IMAGE PROCESSING |
| Old Fashioned State-of-the-art Image Classification | 2016 | Barla, Annalisa; Odone, Francesca; Verri, Alessandro | 12th International Conference on Image Analysis and Processing, Mantova, Italy, September 17-19, 2003, Proceedings |
| 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 |
| 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 |
| 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 |
| A Machine Learning Pipeline for Identification of Discriminant Pathways | 2013 | Annalisa Barla; Giuseppe Jurman; Roberto Visintainer; Margherita Squillario; Michele Filosi; Samantha Riccadonna; Cesare Furlanello | Springer Handbook of Bio-/Neuroinformatics |
| 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 |
| 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 |
| 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 | 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
| A Machine Learning Pipeline for Discriminant Pathways Identification | 2012 | Annalisa Barla; Giuseppe Jurman; Roberto Visintainer; Margherita Squillario; Michele Filosi; Samantha Riccadonna; Cesare Furlanello | Lecture Notes in Computer Science |
| 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 |
| 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; Annalisa Barla; Margherita Squillario; Cesare Furlanello; GIANNA MARIA TOFFOLO; Claudio Cobelli | PLoS ONE |
| 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 |
| Gene Ontology based classification improves prediction and gene signature interpretability. | 2011 | Tiziana, Sanavia; Aler, Crepaldi; Barla, Annalisa; Barbara Di, Camillo | NETTAB 2011 |
| 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 |
| 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 |
| 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 |
| 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 | 33rd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS) |
| 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 |
| 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 |
| Vector Field Learning via Spectral Filtering | 2010 | Baldassarre, L; Rosasco, Lorenzo; Barla, Annalisa; Verri, Alessandro | European Conference on Machine Learning and Knowledge Discovery in Databases, Barcelona, Spain, September 20-24, 2010, Proceedings. LNCS 6321 |
| 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 |
| 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, C.; Fasulo, D.; Morana, G.; … | ISPNO 2010 |
| 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 |
| Learning how to grasp objects | 2010 | Barla, Annalisa; L., Baldassarre; Noceti, Nicoletta; Odone, Francesca | Proc. of ESANN, European Symposium on Artificial Neural Net |
| 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 |
| 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, 15th International Conference |
| 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 |
| 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 |
| 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 |
| A Grid Environment for High-Throughput Proteomics | 2007 | Mario Cannataro; Annalisa Barla; Roberto Flor; Giuseppe Jurman; Stefano Merler; Silvano Paoli; Giuseppe Tradigo; Pierangelo Veltri; Cesare Furlanello | IEEE Transactions on Nanobioscience |
| Algebraic stability indicators for ranked lists in molecular profiling | 2007 | Giuseppe Jurman; Stefano Merler; Annalisa Barla; Silvano Paoli; Antonio Galea; Cesare Furlanello | Bioinformatics |
| Classificazione predittiva per il profiling proteomico | 2007 | G., Jurman; Barla, Annalisa; S., Riccadonna; C., Furlanello | Genomica e Proteomica Computazionale |
| Machine learning methods for predictive proteomics | 2007 | Annalisa Barla; Giuseppe Jurman; Samantha Riccadonna; Stefano Merler; Marco Chierici; Cesare Furlanello | Briefings in Bioinformatics |
| 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 |
| Proteome Profiling without Selection Bias | 2006 | Annalisa Barla; B. Irler; Stefano Merler; Giuseppe Jurman; Silvano Paoli; Cesare Furlanello | 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) |
| Web Tools to Support Image Classification | 2005 | Odone, Francesca; Barla, Annalisa; Franceschi, E; Verri, Alessandro | Internet Imaging VI, San Diego CA, USA, January 17, 2005, Proceedings of SPIE Volume 5670 |
| Histogram Intersection Kernel for Image Classification | 2003 | Barla, Annalisa; Odone, Francesca; Verri, Alessandro | International Conference on Image Processing, Barcelona, Catalonia, Spain, September 14-18, 2003, Proceedings |
| Kernel-based 3D Object Representation, | 2002 | Barla, Annalisa; Odone, Francesca | Artificial Neural Networks - ICANN 2002, International Conference |