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Annalisa Barla
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2020 – today
- 2024
- [j11]Rosanna Turrisi, Alessandro Verri, Annalisa Barla:
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices. Frontiers Comput. Neurosci. 18 (2024) - [j10]Daniele Pretolesi
, Davide Garbarino
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. IEEE Trans. Emerg. Top. Comput. 12(3): 840-851 (2024) - [j9]Rosanna Turrisi
An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease. IEEE J. Biomed. Health Informatics 28(4): 1824-1835 (2024) - [c36]Andrea Vian, Daniele Pretolesi, Lucia Rampino, Annalisa Barla:
AI-driven big web redesign: two case studies in Italian universities. Ital-IA 2024: 430-435 - 2023
- [i3]Rosanna Turrisi, Alessandro Verri, Annalisa Barla:
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection. CoRR abs/2309.07192 (2023) - 2022
- [j8]Veronica Tozzo, Chloé-Agathe Azencott
Where Do We Stand in Regularization for Life Science Studies? J. Comput. Biol. 29(3): 213-232 (2022) - 2021
- [c35]Davide Garbarino, Matteo Moro
Attributed Graphettes-Based Preterm Infants Motion Analysis. COMPLEX NETWORKS 2021: 82-93 - [c34]Firas Bayram
Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. SOFSEM 2021: 505-518 - 2020
- [c33]Federico Tomasi, Veronica Tozzo, Annalisa Barla:
Temporal Pattern Detection in Time-Varying Graphical Models. ICPR 2020: 4481-4488 - [c32]Veronica Tozzo, Davide Garbarino, Annalisa Barla:
Missing Values in Multiple Joint Inference of Gaussian Graphical Models. PGM 2020: 497-508 - [c31]Davide Garbarino, Veronica Tozzo, Andrea Vian, Annalisa Barla
A Robust Method for Statistical Testing of Empirical Power-Law Distributions. WAW 2020: 145-157
2010 – 2019
- 2019
- [c30]Veronica Tozzo, Annalisa Barla
Multi-parameters Model Selection for Network Inference. COMPLEX NETWORKS (1) 2019: 566-577 - [e1]Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif E. Peterson, Alberto Policriti, Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics - 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10834, Springer 2019, ISBN 978-3-030-14159-2 [contents] - 2018
- [j7]Chiara Martini, Annalisa Barla
Data-Driven Continuous Assessment of Frailty in Older People. Frontiers Digit. Humanit. 5: 6 (2018) - [c29]Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla
Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. CIBB 2018: 69-79 - [c28]Chiara Martini, Francesca Odone, Nicoletta Noceti, Manuela Chessa, Annalisa Barla
Visual Computing Methods for Assessing the Well-Being of Older People. VISIGRAPP (Revised Selected Papers) 2018: 195-211 - [c27]Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili:
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. MLHC 2018: 348-382 - [c26]Chiara Martini, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto, Alessandro Verri, Francesca Odone:
A Visual Computing Approach for Estimating the Motility Index in the Frail Elder. VISIGRAPP (5: VISAPP) 2018: 439-445 - [i2]Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla:
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. CoRR abs/1811.09673 (2018) - 2017
- [c25]Veronica Tozzo, Annalisa Barla
Cancer Mutational Signatures Identification with Sparse Dictionary Learning. CIBB 2017: 32-41 - [c24]Federico Tomasi
Icing: Large-Scale Inference of Immunoglobulin Clonotypes. CIBB 2017: 42-50 - [c23]Samuele Fiorini
Adenine: A HPC-Oriented Tool for Biological Data Exploration. CIBB 2017: 51-59 - [c22]Samuele Fiorini
Data-driven strategies for robust forecast of continuous glucose monitoring time-series. EMBC 2017: 1680-1683 - [c21]Veronica Tozzo, Vanessa D'Amario, Annalisa Barla
Hey there's DALILA: a DictionAry LearnIng LibrAry. ICCSW 2017: 6:1-6:14 - [c20]Samuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto:
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes. MLHC 2017: 112-125 - 2016
- [c19]Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla
PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. PyHPC@SC 2016: 19-26 - [i1]Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto, Alessandro Verri, Annalisa Barla:
A temporal model for multiple sclerosis course evolution. CoRR abs/1612.00615 (2016) - 2015
- [c18]Samuele Fiorini
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes. EMBC 2015: 4443-4446 - 2014
- [j6]Saverio Salzo
Alternating Proximal Regularized Dictionary Learning. Neural Comput. 26(12): 2855-2895 (2014) - 2013
- [j5]Grzegorz Zycinski, Annalisa Barla
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code Biol. Medicine 8: 2 (2013) - [c17]Margherita Squillario
Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization. CIBB 2013: 259-273 - [c16]Salvatore Masecchia, Annalisa Barla
Dictionary learning improves subtyping of breast cancer aCGH data. EMBC 2013: 604-607 - [c15]Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri:
A dictionary learning based method for aCGH segmentation. ESANN 2013 - 2012
- [j4]Luca Baldassarre, Lorenzo Rosasco
Multi-output learning via spectral filtering. Mach. Learn. 87(3): 259-301 (2012) - [c14]Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo:
Discriminant functional gene groups identification with machine learning and prior knowledge. ESANN 2012 - 2011
- [c13]Annalisa Barla
A Machine Learning Pipeline for Discriminant Pathways Identification. CIBB 2011: 36-48 - [c12]Grzegorz Zycinski, Annalisa Barla
SVS: Data and knowledge integration in computational biology. EMBC 2011: 6474-6478 - 2010
- [c11]Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone:
Learning how to grasp objects. ESANN 2010 - [c10]Luca Baldassarre, Lorenzo Rosasco
Vector Field Learning via Spectral Filtering. ECML/PKDD (1) 2010: 56-71
2000 – 2009
- 2009
- [c9]Nicoletta Noceti, Barbara Caputo
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. ICIAP 2009: 239-248 - 2008
- [j3]Annalisa Barla
Machine learning methods for predictive proteomics. Briefings Bioinform. 9(2): 119-128 (2008) - [j2]Giuseppe Jurman
Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. 24(2): 258-264 (2008) - [c8]Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Alessandro Verri:
A method for robust variable selection with significance assessment. ESANN 2008: 83-88 - [c7]Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli:
Vector valued regression for iron overload estimation. ICPR 2008: 1-4 - 2006
- [c6]Annalisa Barla
Proteome Profiling without Selection Bias. CBMS 2006: 941-946 - 2005
- [j1]Francesca Odone, Annalisa Barla
Building kernels from binary strings for image matching. IEEE Trans. Image Process. 14(2): 169-180 (2005) - 2003
- [c5]Annalisa Barla
Old fashioned state-of-the-art image classification. ICIAP 2003: 566-571 - [c4]Annalisa Barla, Francesca Odone, Alessandro Verri:
Histogram intersection kernel for image classification. ICIP (3) 2003: 513-516 - 2002
- [c3]Annalisa Barla, Francesca Odone, Alessandro Verri:
Hausdorff Kernel for 3D Object Acquisition and Detection. ECCV (4) 2002: 20-33 - [c2]Annalisa Barla, Francesca Odone:
Kernel-Based 3D Object Representation. ICANN 2002: 1195-1200 - [c1]Annalisa Barla
Image Kernels. SVM 2002: 83-96
Coauthor Index
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last updated on 2024-10-17 20:33 CEST by the dblp team
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