Novel IPCA-Based Classifiers and Their Application to Spam Filtering. - Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi (ISDA, 2009)

O-IPCAC and its Application to EEG Classification. - Alessandro Rozza; Gabriele Lombardi; Marco Rosa; Elena Casiraghi (WAPA, 2010)

IDEA: Intrinsic Dimension Estimation Algorithm. - Alessandro Rozza; Gabriele Lombardi; Marco Rosa; Elena Casiraghi; Paola Campadelli (ICIAP (1), 2011)

Minimum Neighbor Distance Estimators of Intrinsic Dimension. - Gabriele Lombardi; Alessandro Rozza; Claudio Ceruti; Elena Casiraghi; Paola Campadelli (ECML/PKDD (2), 2011)

A Novel Approach for Geometric Clustering based on Tensor Voting Framework. - Gabriele Lombardi; Alessandro Rozza; Elena Casiraghi; Paola Campadelli (WIRN, 2011)

Automatic Alignment of Gel 2D Images. - Alessandro Rozza; Stefano Arca; Elena Casiraghi; Paola Campadelli; Massimo Natale; Enrico M. Bucci; Paolo Consoli (WIRN, 2011)

A Novel Ensemble Technique for Protein Subcellular Location Prediction. - Alessandro Rozza; Gabriele Lombardi; Matteo Re; Elena Casiraghi; Giorgio Valentini; Paola Campadelli (Ensembles in Machine Learning Applications, 2011)

A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics. - Simone Bassis; Alessandro Rozza; Claudio Ceruti; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (CHDD, 2012)

DANCo: Dimensionality from Angle and Norm Concentration - Claudio Ceruti; Simone Bassis; Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (CoRR, 2012)

Novel high intrinsic dimensionality estimators. - Alessandro Rozza; Gabriele Lombardi; Claudio Ceruti; Elena Casiraghi; Paola Campadelli (Mach. Learn., 2012)

Novel Fisher discriminant classifiers. - Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (Pattern Recognit., 2012)

Local Intrinsic Dimensionality Based Features for Clustering. - Paola Campadelli; Elena Casiraghi; Claudio Ceruti; Gabriele Lombardi; Alessandro Rozza (ICIAP (1), 2013)

Modelling political disaffection from Twitter data. - Corrado Monti; Alessandro Rozza; Giovanni Zappella; Matteo Zignani; Adam Arvidsson; Elanor Colleoni (WISDOM, 2013)

Political Disaffection: a case study on the Italian Twitter community - Corrado Monti; Alessandro Rozza; Giovanni Zappella; Matteo Zignani; Adam Arvidsson; Monica Poletti (CoRR, 2013)

A Novel Graph Embedding Framework for Object Recognition. - Mario Manzo; Simone Pellino; Alfredo Petrosino; Alessandro Rozza (ECCV Workshops (4), 2014)

Truncated isotropic principal component classifier for image classification. - Alessandro Rozza; Giuseppe Serra 001; Costantino Grana (ICIP, 2014)

A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning. - Alessandro Rozza; Mario Manzo; Alfredo Petrosino (ICPR, 2014)

DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration. - Claudio Ceruti; Simone Bassis; Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (Pattern Recognit., 2014)

Real-Time Age Estimation from Face Imagery Using Fisher Vectors. - Lorenzo Seidenari; Alessandro Rozza; Alberto Del Bimbo (ICIAP (2), 2015)

A novel background subtraction approach based on multi layered self-organizing maps. - Giorgio Gemignani; Alessandro Rozza (ICIP, 2015)

Multimodal Affective Analysis combining Regularized Linear Regression and Boosted Regression Trees. - Aleksandar Milchevski; Alessandro Rozza; Dimitar Taskovski (AVEC@ACM Multimedia, 2015)

A Novel Mutual Information-based Feature Selection Algorithm. - Pietro Cassarà; Alessandro Rozza (CoRR, 2016)

Making Neural Networks Robust to Label Noise: a Loss Correction Approach. - Giorgio Patrini; Alessandro Rozza; Aditya Krishna Menon; Richard Nock; Lizhen Qu (CoRR, 2016)

A Robust Approach for the Background Subtraction Based on Multi-Layered Self-Organizing Maps. - Giorgio Gemignani; Alessandro Rozza (IEEE Trans. Image Process., 2016)

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. - Giorgio Patrini; Alessandro Rozza; Aditya Krishna Menon; Richard Nock; Lizhen Qu (CVPR, 2017)

Learning Combinations of Activation Functions. - Franco Manessi; Alessandro Rozza (ICPR, 2018)

Automated Pruning for Deep Neural Network Compression. - Franco Manessi; Alessandro Rozza; Simone Bianco 001; Paolo Napoletano; Raimondo Schettini (ICPR, 2018)

Image Memorability Using Diverse Visual Features and Soft Attention. - Marco Leonardi; Luigi Celona; Paolo Napoletano; Simone Bianco 001; Raimondo Schettini; Franco Manessi; Alessandro Rozza (ICIAP (2), 2019)

DOPSIE: Deep-Order Proximity and Structural Information Embedding. - Mario Manzo; Alessandro Rozza (Mach. Learn. Knowl. Extr., 2019)

Real-time demographic profiling from face imagery with Fisher vectors. - Lorenzo Seidenari; Alessandro Rozza; Alberto Del Bimbo (Mach. Vis. Appl., 2019)

Dynamic graph convolutional networks. - Franco Manessi; Alessandro Rozza; Mario Manzo (Pattern Recognit., 2020)

Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. - Adam Elwood; Alberto Gasparin; Alessandro Rozza (ISM, 2021)

Modeling image aesthetics through aesthetics-related attributes. - Marco Leonardi; Paolo Napoletano; Alessandro Rozza; Raimondo Schettini (LIM, 2021)

Graph-based neural network models with multiple self-supervised auxiliary tasks. - Franco Manessi; Alessandro Rozza (Pattern Recognit. Lett., 2021)

No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection. - Marco Leonardi; Paolo Napoletano; Raimondo Schettini; Alessandro Rozza (Sensors, 2021)

Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. - Adam Elwood; Alberto Gasparin; Alessandro Rozza (Int. J. Semantic Comput., 2022)

Composition and Style Attributes Guided Image Aesthetic Assessment. - Luigi Celona; Marco Leonardi; Paolo Napoletano; Alessandro Rozza (IEEE Trans. Image Process., 2022)

A General Purpose Method for Image Collection Summarization and Exploration. - Marco Leonardi; Paolo Napoletano; Alessandro Rozza; Raimondo Schettini (ICIAP Workshops (1), 2023)

A survey and taxonomy of loss functions in machine learning. - Lorenzo Ciampiconi; Adam Elwood; Marco Leonardi; Ashraf Mohamed; Alessandro Rozza (CoRR, 2023)

Maximum Entropy Exploration in Contextual Bandits with Neural Networks and Energy Based Models. - Adam Elwood; Marco Leonardi; Ashraf Mohamed; Alessandro Rozza (Entropy, 2023)

A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints. - Francesco Emanuele Stradi; Filippo Cipriani; Lorenzo Ciampiconi; Marco Leonardi; Alessandro Rozza; Nicola Gatti 001 (CoRR, 2024)