Active Sampling for Knowledge Discovery from Biomedical Data. - Sriharsha Veeramachaneni; Francesca Demichelis; Emanuele Olivetti; Paolo Avesani (PKDD, 2005)

Active sampling for detecting irrelevant features. - Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICML, 2006)

Inferring Cognition from fMRI Brain Images. - Diego Sona; Sriharsha Veeramachaneni; Emanuele Olivetti; Paolo Avesani (ICANN (2), 2007)

PyMVPA: a unifying approach to the analysis of neuroscientific data. - Michael Hanke; Yaroslav O. Halchenko; Per B. Sederberg; Emanuele Olivetti; Ingo Fründ; Jochem W. Rieger; Christoph S. Herrmann; James V. Haxby; Stephen José Hanson; Stefan Pollmann (Frontiers Neuroinformatics, 2009)

Learning to Interpret Cognitive States from fMRI Brain Images. - Diego Sona; Emanuele Olivetti; Paolo Avesani; Sriharsha Veeramachaneni (Computational Intelligence and Bioengineering, 2009)

Brain connectivity analysis by reduction to pair classification. - Emanuele Olivetti; Sriharsha Veeramachaneni; Susanne Greiner; Paolo Avesani (CIP, 2010)

Induction in Neuroscience with Classification: Issues and Solutions. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (MLINI, 2011)

Testing for Information with Brain Decoding. - Emanuele Olivetti; Sriharsha Veeramachaneni; Paolo Avesani (PRNI, 2011)

Supervised Segmentation of Fiber Tracts. - Emanuele Olivetti; Paolo Avesani (SIMBAD, 2011)

Testing Multiclass Pattern Discrimination. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (PRNI, 2012)

The Approximation of the Dissimilarity Projection. - Emanuele Olivetti; Thien Bao Nguyen; Eleftherios Garyfallidis (PRNI, 2012)

Bayesian hypothesis testing for pattern discrimination in brain decoding. - Emanuele Olivetti; Sriharsha Veeramachaneni; Ewa Nowakowska (Pattern Recognit., 2012)

Classification of Multichannel Signals With Cumulant-Based Kernels. - Marco Signoretto; Emanuele Olivetti; Lieven De Lathauwer; Johan A. K. Suykens (IEEE Trans. Signal Process., 2012)

Discrete Cosine Transform for MEG Signal Decoding. - Seyed Mostafa Kia; Emanuele Olivetti; Paolo Avesani (PRNI, 2013)

The Kernel Two-Sample Test vs. Brain Decoding. - Emanuele Olivetti; Danilo Benozzo; Seyed Mostafa Kia; Marta Ellero; Thomas Hartmann 003 (PRNI, 2013)

Fast Clustering for Interactive Tractography Segmentation. - Emanuele Olivetti; Thien Bao Nguyen; Eleftherios Garyfallidis; Nivedita Agarwal; Paolo Avesani (PRNI, 2013)

Classification-Based Causality Detection in Time Series. - Danilo Benozzo; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Multi-Task Learning for Interpretation of Brain Decoding Models. - Seyed Mostafa Kia; Sandro Vega-Pons; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Mapping Tractography Across Subjects. - Thien Bao Nguyen; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Sensor-level maps with the kernel two-sample test. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

MEG decoding across subjects. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

Tractography Mapping for Dissimilarity Space across Subjects. - Paolo Avesani; Thien Bao Nguyen; Nivedita Agarwal; Mark Bromberg; Lubdha Shah; Emanuele Olivetti (PRNI, 2015)

A Bayesian Test for Comparing Classifier Errors. - Emanuele Olivetti; Dirk B. Walther (PRNI, 2015)

Statistical independence for the evaluation of classifier-based diagnosis. - Emanuele Olivetti; Susanne Greiner; Paolo Avesani (Brain Informatics, 2015)

The Approximation of the Dissimilarity Projection. - Emanuele Olivetti; Thien Bao Nguyen; Paolo Avesani (CoRR, 2015)

Tractome: a visual data mining tool for brain connectivity analysis. - Diana Porro-Muñoz; Emanuele Olivetti; Nusrat Sharmin; Thien Bao Nguyen; Eleftherios Garyfallidis; Paolo Avesani (Data Min. Knowl. Discov., 2015)

Classification-based tests for neuroimaging data analysis: comparison of best practices. - Muhaddisa Barat Ali; Emanuele Olivetti (PRNI, 2016)

Comparison of distances for supervised segmentation of white matter tractography. - Emanuele Olivetti; Giulia Berto; Pietro Gori; Nusrat Sharmin; Paolo Avesani (PRNI, 2017)

Supervised Estimation of Granger-Based Causality between Time Series. - Danilo Benozzo; Emanuele Olivetti; Paolo Avesani (Frontiers Neuroinformatics, 2017)

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. - Emanuele Olivetti; Danilo Benozzo; Jan Bím; Stefano Panzeri; Paolo Avesani (Frontiers Comput. Neurosci., 2018)

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. - Giulia Bertò; Paolo Avesani; Franco Pestilli; Daniel Bullock; Bradley Caron; Emanuele Olivetti (ISBI, 2019)

A Test for Shared Patterns in Cross-modal Brain Activation Analysis. - Elena Kalinina; Fabian Pedregosa; Vittorio Iacovella; Emanuele Olivetti; Paolo Avesani (CoRR, 2019)

A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. - Pietro Astolfi; Alessandro De Benedictis; Silvio Sarubbo; Giulia Berto; Emanuele Olivetti; Diego Sona; Paolo Avesani (ISBI, 2020)

Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy. - Gabriele Amorosino; Denis Peruzzo; Pietro Astolfi; Daniela Redaelli; Paolo Avesani; Filippo Arrigoni; Emanuele Olivetti (MLCN/RNO-AI@MICCAI, 2020)

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Jonathan Masci; Davide Boscaini; Paolo Avesani (MICCAI (7), 2020)

Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem. - Emanuele Olivetti; Pietro Gori; Pietro Astolfi; Giulia Bertò; Paolo Avesani (WBIR, 2020)

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. - Giulia Bertò; Daniel Bullock; Pietro Astolfi; Soichi Hayashi; Luca Zigiotto; Luciano Annicchiarico; Francesco Corsini; Alessandro De Benedictis; Silvio Sarubbo; Franco Pestilli; Paolo Avesani; Emanuele Olivetti (NeuroImage, 2021)

DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients. - Gabriele Amorosino; Denis Peruzzo; Daniela Redaelli; Emanuele Olivetti; Filippo Arrigoni; Paolo Avesani (NeuroImage, 2022)

Supplementary Material: Design of experiment rational optimization of an inkjet deposition of silver on Kapton. - Alessio Bucciarelli; Emanuele Olivetti; Andrea Adami; Leandro Lorenzelli (IEEE DataPort, 2022)

pyRiemann/pyRiemann: v0.3. - Alexandre Barachant; Quentin Barthélemy; Jean-Rémi King; Alexandre Gramfort; Sylvain Chevallier; Pedro L. C. Rodrigues; Emanuele Olivetti; Vladislav Goncharenko; Gabriel Wagner vom Berg; Ghiles Reguig; Arthur Lebeurrier; Erik Bjäreholt; et al. (Zenodo, 2022)

How Does White Matter Registration Affect Tractography Alignment? - Gabriele Amorosino; Emanuele Olivetti; Jorge Jovicich; Paolo Avesani (ISBI, 2023)

brainlife.io: A decentralized and open source cloud platform to support neuroscience research. - Soichi Hayashi; Bradley Caron; Anibal Sólon Heinsfeld; Sophia Vinci-Booher; Brent C. McPherson; Daniel N. Bullock; Giulia Berto; J. Guiomar Niso; Sandra Hanekamp; Daniel Levitas; Lindsey Kitchell; Josiah Leong; et al. (CoRR, 2023)

Supervised tractogram filtering using Geometric Deep Learning. - Pietro Astolfi; Ruben S. Verhagen; Laurent Petit; Emanuele Olivetti; Silvio Sarubbo; Jonathan Masci; Davide Boscaini; Paolo Avesani (Medical Image Anal., 2023)

Covariance-based decoding reveals a category-specific functional connectivity network for imagined visual objects. - Francesco Mantegna; Emanuele Olivetti; Philipp Schwedhelm; Daniel Baldauf (NeuroImage, 2025)