Annalisa Barla

According to our database1, Annalisa Barla authored at least 40 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
A Robust Method for Statistical Testing of Empirical Power-Law Distributions.
Proceedings of the Algorithms and Models for the Web Graph - 17th International Workshop, 2020

2019
Multi-parameters Model Selection for Network Inference.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Data-Driven Continuous Assessment of Frailty in Older People.
Frontiers Digit. Humanit., 2018

Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions.
CoRR, 2018

A Visual Computing Approach for Estimating the Motility Index in the Frail Elder.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Visual Computing Methods for Assessing the Well-Being of Older People.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes.
Proceedings of the Machine Learning for Health Care Conference, 2017

Hey there's DALILA: a DictionAry LearnIng LibrAry.
Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

Data-driven strategies for robust forecast of continuous glucose monitoring time-series.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Cancer Mutational Signatures Identification with Sparse Dictionary Learning.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Icing: Large-Scale Inference of Immunoglobulin Clonotypes.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

Adenine: A HPC-Oriented Tool for Biological Data Exploration.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016
A temporal model for multiple sclerosis course evolution.
CoRR, 2016

PALLADIO: A Parallel Framework for Robust Variable Selection in High-Dimensional Data.
Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing, 2016

2015
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Alternating Proximal Regularized Dictionary Learning.
Neural Comput., 2014

2013
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.
Source Code Biol. Medicine, 2013

A dictionary learning based method for aCGH segmentation.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Dictionary learning improves subtyping of breast cancer aCGH data.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012
Multi-output learning via spectral filtering.
Mach. Learn., 2012

Discriminant functional gene groups identification with machine learning and prior knowledge.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
SVS: Data and knowledge integration in computational biology.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A Machine Learning Pipeline for Discriminant Pathways Identification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
Vector Field Learning via Spectral Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning how to grasp objects.
Proceedings of the ESANN 2010, 2010

2009
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents.
Proceedings of the Image Analysis and Processing, 2009

2008
Algebraic stability indicators for ranked lists in molecular profiling.
Bioinform., 2008

Machine learning methods for predictive proteomics.
Briefings Bioinform., 2008

Vector valued regression for iron overload estimation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A method for robust variable selection with significance assessment.
Proceedings of the ESANN 2008, 2008

2006
Proteome Profiling without Selection Bias.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Building kernels from binary strings for image matching.
IEEE Trans. Image Process., 2005

2003
Histogram intersection kernel for image classification.
Proceedings of the 2003 International Conference on Image Processing, 2003

Old fashioned state-of-the-art image classification.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002
Image Kernels.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Kernel-Based 3D Object Representation.
Proceedings of the Artificial Neural Networks, 2002

Hausdorff Kernel for 3D Object Acquisition and Detection.
Proceedings of the Computer Vision, 2002


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