Annalisa Barla

51 papers B 8C 2Misc 2Journal 14Unranked 24

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	AI-driven big web redesign: two case studies in Italian universities. Ital-IA Andrea Vian, Daniele Pretolesi, Lucia Rampino, Annalisa Barla
2024	J	`jnl`	An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease. IEEE J. Biomed. Health Informatics Rosanna Turrisi, Margherita Squillario, Giulia Abate, Daniela Letizia Uberti, Annalisa Barla
2024	J	`jnl`	Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices. Frontiers Comput. Neurosci. Rosanna Turrisi, Alessandro Verri, Annalisa Barla
2024	J	`jnl`	Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. IEEE Trans. Emerg. Top. Comput. Daniele Pretolesi, Davide Garbarino, Daniele Giampaoli, Andrea Vian, Annalisa Barla
2023	J	`jnl`	The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection. CoRR Rosanna Turrisi, Alessandro Verri, Annalisa Barla
2022	J	`jnl`	Where Do We Stand in Regularization for Life Science Studies? J. Comput. Biol. Veronica Tozzo, Chloé-Agathe Azencott, Samuele Fiorini, Emanuele Fava, Andrea Trucco, Annalisa Barla
2021	—	`conf`	Attributed Graphettes-Based Preterm Infants Motion Analysis. COMPLEX NETWORKS Davide Garbarino, Matteo Moro, Chiara Tacchino, Paolo Moretti, Maura Casadio, Francesca Odone, Annalisa Barla
2021	B	`conf`	Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. SOFSEM Firas Bayram, Davide Garbarino, Annalisa Barla
2020	C	`conf`	A Robust Method for Statistical Testing of Empirical Power-Law Distributions. WAW Davide Garbarino, Veronica Tozzo, Andrea Vian, Annalisa Barla
2020	—	`conf`	Missing Values in Multiple Joint Inference of Gaussian Graphical Models. PGM Veronica Tozzo, Davide Garbarino, Annalisa Barla
2020	B	`conf`	Temporal Pattern Detection in Time-Varying Graphical Models. ICPR Federico Tomasi, Veronica Tozzo, Annalisa Barla
2019	—	`ed.`	Computational Intelligence Methods for Bioinformatics and Biostatistics - 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers CIBB Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif E. Peterson, Alberto Policriti, Roberto Tagliaferri
2019	—	`conf`	Multi-parameters Model Selection for Network Inference. COMPLEX NETWORKS (1) Veronica Tozzo, Annalisa Barla
2018	—	`conf`	A Visual Computing Approach for Estimating the Motility Index in the Frail Elder. VISIGRAPP (5: VISAPP) Chiara Martini, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto, Alessandro Verri, Francesca Odone
2018	—	`conf`	Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. CIBB Vanessa D'Amario, Gabriele Arnulfo, Lino Nobili, Annalisa Barla
2018	J	`jnl`	Data-Driven Continuous Assessment of Frailty in Older People. Frontiers Digit. Humanit. Chiara Martini, Annalisa Barla, Francesca Odone, Alessandro Verri, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto
2018	J	`jnl`	Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions. CoRR Veronica Tozzo, Federico Tomasi, Margherita Squillario, Annalisa Barla
2018	—	`conf`	Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. MLHC Vanessa D'Amario, Federico Tomasi, Veronica Tozzo, Gabriele Arnulfo, Annalisa Barla, Lino Nobili
2018	—	`conf`	Visual Computing Methods for Assessing the Well-Being of Older People. VISIGRAPP (Revised Selected Papers) Chiara Martini, Francesca Odone, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alessandro Verri, Alberto Cella, Alberto Pilotto, Gian Andrea Rollandi
2017	—	`conf`	Adenine: A HPC-Oriented Tool for Biological Data Exploration. CIBB Samuele Fiorini, Federico Tomasi, Margherita Squillario, Annalisa Barla
2017	—	`conf`	Cancer Mutational Signatures Identification with Sparse Dictionary Learning. CIBB Veronica Tozzo, Annalisa Barla
2017	—	`conf`	Data-driven strategies for robust forecast of continuous glucose monitoring time-series. EMBC Samuele Fiorini, Chiara Martini, Davide Malpassi, Renzo Cordera, Davide Maggi, Alessandro Verri, Annalisa Barla
2017	—	`conf`	Hey there's DALILA: a DictionAry LearnIng LibrAry. ICCSW Veronica Tozzo, Vanessa D'Amario, Annalisa Barla
2017	—	`conf`	Icing: Large-Scale Inference of Immunoglobulin Clonotypes. CIBB Federico Tomasi, Margherita Squillario, Alessandro Verri, Davide Bagnara, Annalisa Barla
2017	—	`conf`	Temporal prediction of multiple sclerosis evolution from patient-centered outcomes. MLHC Samuele Fiorini, Alessandro Verri, Annalisa Barla, Andrea Tacchino, Giampaolo Brichetto
2016	J	`jnl`	A temporal model for multiple sclerosis course evolution. CoRR Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto, Alessandro Verri, Annalisa Barla
2016	—	`conf`	PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data. PyHPC@SC Matteo Barbieri, Samuele Fiorini, Federico Tomasi, Annalisa Barla
2015	—	`conf`	A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes. EMBC Samuele Fiorini, Alessandro Verri, Andrea Tacchino, Michela Ponzio, Giampaolo Brichetto, Annalisa Barla
2014	J	`jnl`	Alternating Proximal Regularized Dictionary Learning. Neural Comput. Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla
2013	B	`conf`	A dictionary learning based method for aCGH segmentation. ESANN Salvatore Masecchia, Saverio Salzo, Annalisa Barla, Alessandro Verri
2013	—	`conf`	Dictionary learning improves subtyping of breast cancer aCGH data. EMBC Salvatore Masecchia, Annalisa Barla, Saverio Salzo, Alessandro Verri
2013	—	`conf`	Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization. CIBB Margherita Squillario, Grzegorz Zycinski, Annalisa Barla, Alessandro Verri
2013	J	`jnl`	Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data. Source Code Biol. Medicine Grzegorz Zycinski, Annalisa Barla, Margherita Squillario, Tiziana Sanavia, Barbara Di Camillo, Alessandro Verri
2012	B	`conf`	Discriminant functional gene groups identification with machine learning and prior knowledge. ESANN Grzegorz Zycinski, Margherita Squillario, Annalisa Barla, Tiziana Sanavia, Alessandro Verri, Barbara Di Camillo
2012	J	`jnl`	Multi-output learning via spectral filtering. Mach. Learn. Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2011	—	`conf`	A Machine Learning Pipeline for Discriminant Pathways Identification. CIBB Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello
2011	—	`conf`	SVS: Data and knowledge integration in computational biology. EMBC Grzegorz Zycinski, Annalisa Barla, Alessandro Verri
2010	B	`conf`	Learning how to grasp objects. ESANN Annalisa Barla, Luca Baldassarre, Nicoletta Noceti, Francesca Odone
2010	—	`conf`	Vector Field Learning via Spectral Filtering. ECML/PKDD (1) Luca Baldassarre, Lorenzo Rosasco, Annalisa Barla, Alessandro Verri
2009	Misc	`conf`	Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents. ICIAP Nicoletta Noceti, Barbara Caputo, Claudio Castellini, Luca Baldassarre, Annalisa Barla, Lorenzo Rosasco, Francesca Odone, Giulio Sandini
2008	B	`conf`	A method for robust variable selection with significance assessment. ESANN Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
2008	J	`jnl`	Algebraic stability indicators for ranked lists in molecular profiling. Bioinform. Giuseppe Jurman, Stefano Merler, Annalisa Barla, Silvano Paoli, Antonio Galea, Cesare Furlanello
2008	J	`jnl`	Machine learning methods for predictive proteomics. Briefings Bioinform. Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici, Cesare Furlanello
2008	B	`conf`	Vector valued regression for iron overload estimation. ICPR Luca Baldassarre, Annalisa Barla, Barbara Gianesin, Mauro Marinelli
2006	B	`conf`	Proteome Profiling without Selection Bias. CBMS Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello
2005	J	`jnl`	Building kernels from binary strings for image matching. IEEE Trans. Image Process. Francesca Odone, Annalisa Barla, Alessandro Verri
2003	—	`conf`	Histogram intersection kernel for image classification. ICIP (3) Annalisa Barla, Francesca Odone, Alessandro Verri
2003	Misc	`conf`	Old fashioned state-of-the-art image classification. ICIAP Annalisa Barla, Francesca Odone, Alessandro Verri
2002	—	`conf`	Hausdorff Kernel for 3D Object Acquisition and Detection. ECCV (4) Annalisa Barla, Francesca Odone, Alessandro Verri
2002	—	`conf`	Image Kernels. SVM Annalisa Barla, Emanuele Franceschi, Francesca Odone, Alessandro Verri
2002	C	`conf`	Kernel-Based 3D Object Representation. ICANN Annalisa Barla, Francesca Odone