Designing the Minimal Structure of Hidden Markov Model by Bisimulation. - Manuele Bicego; Agostino Dovier; Vittorio Murino (EMMCVPR, 2001)

2D Shape Recognition by Hidden Markov Models. - Manuele Bicego; Vittorio Murino (ICIAP, 2001)

A Hidden Markov Model-Based Approach to Sequential Data Clustering. - Antonello Panuccio; Manuele Bicego; Vittorio Murino (SSPR/SPR, 2002)

3D Face Recognition Using Stereoscopic Vision. - Umberto Castellani; Manuele Bicego; Gianluca Iacono; Vittorio Murino (Advanced Studies in Biometrics, 2003)

Watershed-Based Unsupervised Clustering. - Manuele Bicego; Marco Cristani; Andrea Fusiello; Vittorio Murino (EMMCVPR, 2003)

Using hidden Markov models and wavelets for face recognition. - Manuele Bicego; Umberto Castellani; Vittorio Murino (ICIAP, 2003)

Automatic road extraction from aerial images by probabilistic contour tracking. - Manuele Bicego; Silvio Dalfini; Gianni Vernazza; Vittorio Murino (ICIP (3), 2003)

Similarity-Based Clustering of Sequences Using Hidden Markov Models. - Manuele Bicego; Vittorio Murino; Mário A. T. Figueiredo (MLDM, 2003)

Face recognition with Multilevel B-Splines and Support Vector Machines. - Manuele Bicego; Gianluca Iacono; Vittorio Murino (WBMA@MM, 2003)

A sequential pruning strategy for the selection of the number of states in hidden Markov models. - Manuele Bicego; Vittorio Murino; Mário A. T. Figueiredo (Pattern Recognit. Lett., 2003)

Audio-Video Integration for Background Modelling. - Marco Cristani; Manuele Bicego; Vittorio Murino (ECCV (2), 2004)

On-Line Adaptive Background Modelling for Audio Surveillance. - Marco Cristani; Manuele Bicego; Vittorio Murino (ICPR (2), 2004)

Statistical Classification of Raw Textile Defects. - Vittorio Murino; Manuele Bicego; Ivan A. Rossi (ICPR (4), 2004)

Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks. - Andrea Castellani; Debora Botturi; Manuele Bicego; Paolo Fiorini (ICRA, 2004)

Investigating Hidden Markov Models' Capabilities in 2D Shape Classification. - Manuele Bicego; Vittorio Murino (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Similarity-based classification of sequences using hidden Markov models. - Manuele Bicego; Vittorio Murino; Mário A. T. Figueiredo (Pattern Recognit., 2004)

On Finding Differences Between Faces. - Manuele Bicego; Enrico Grosso; Massimo Tistarelli (AVBPA, 2005)

Measuring differences between faces. - Manuele Bicego; Andrea Lagorio; Enrico Grosso; Massimo Tistarelli (EUSIPCO, 2005)

Automatic Updating of Urban Vector Maps. - S. Ceresola; Andrea Fusiello; Manuele Bicego; Alberto Belussi; Vittorio Murino (ICIAP, 2005)

Face Authentication Using One-Class Support Vector Machines. - Manuele Bicego; Enrico Grosso; Massimo Tistarelli (IWBRS, 2005)

A supervised data-driven approach for microarray spot quality classification. - Manuele Bicego; Maria Rosario Martinez; Vittorio Murino (Pattern Anal. Appl., 2005)

A Hidden Markov Model approach for appearance-based 3D object recognition. - Manuele Bicego; Umberto Castellani; Vittorio Murino (Pattern Recognit. Lett., 2005)

On the Use of SIFT Features for Face Authentication. - Manuele Bicego; Andrea Lagorio; Enrico Grosso; Massimo Tistarelli (CVPR Workshops, 2006)

Audio-Visual Foreground Extraction for Event Characterization. - Marco Cristani; Manuele Bicego; Vittorio Murino (CVPR Workshops, 2006)

Recognizing People's Faces: from Human to Machine Vision. - Massimo Tistarelli; Manuele Bicego; Enrico Grosso (ICARCV, 2006)

Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models. - Manuele Bicego; Enrico Grosso; Massimo Tistarelli (ICB, 2006)

Unsupervised scene analysis: A hidden Markov model approach. - Manuele Bicego; Marco Cristani; Vittorio Murino (Comput. Vis. Image Underst., 2006)

Similarity-based pattern recognition. - Manuele Bicego; Vittorio Murino; Marcello Pelillo; Andrea Torsello (Pattern Recognit., 2006)

Recognition of Human Faces: From Biological to Artificial Vision. - Massimo Tistarelli; Linda Brodo; Andrea Lagorio; Manuele Bicego (BVAI, 2007)

Hidden Markov model-based face recognition using selective attention. - Albert Ali Salah; Manuele Bicego; Lale Akarun; Enrico Grosso; Massimo Tistarelli (Human Vision and Electronic Imaging, 2007)

Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation. - Daniel González-Jiménez; Manuele Bicego; Johan W. H. Tangelder; Ben A. M. Schouten; Onkar Ambekar; José Luis Alba-Castro; Enrico Grosso; Massimo Tistarelli (ICB, 2007)

Sparseness Achievement in Hidden Markov Models. - Manuele Bicego; Marco Cristani; Vittorio Murino (ICIAP, 2007)

Generalization in Holistic versus Analytic Processing of Faces. - Manuele Bicego; Albert Ali Salah; Enrico Grosso; Massimo Tistarelli; Lale Akarun (ICIAP, 2007)

Group-Induced Vector Spaces. - Manuele Bicego; Elzbieta Pekalska; Robert P. W. Duin (MCS, 2007)

Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences. - Manuele Bicego; Franco Dellaglio; Giovanna E. Felis (J. Bioinform. Comput. Biol., 2007)

Audio-Visual Event Recognition in Surveillance Video Sequences. - Marco Cristani; Manuele Bicego; Vittorio Murino (IEEE Trans. Multim., 2007)

Generalized Gaussian distributions for sequential data classification. - Manuele Bicego; Daniel González-Jiménez; Enrico Grosso; José Luis Alba-Castro (ICPR, 2008)

A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends. - Manuele Bicego; Enrico Grosso; Edoardo Otranto (SSPR/SPR, 2008)

2D Shape Classification Using Multifractional Brownian Motion. - Manuele Bicego; Alessandro Trudda (SSPR/SPR, 2008)

Distinctiveness of faces: A computational approach. - Manuele Bicego; Enrico Grosso; Andrea Lagorio; Gavin Brelstaff; Linda Brodo; Massimo Tistarelli (ACM Trans. Appl. Percept., 2008)

Video-Based Face Recognition Algorithms. - Rama Chellappa; Manuele Bicego; Pavan K. Turaga (Handbook of Remote Biometrics, 2009)

Measuring changes in face appearance through aging. - Marcos Ortega 001; Linda Brodo; Manuele Bicego; Massimo Tistarelli (CVPR Workshops, 2009)

Clustering-Based Construction of Hidden Markov Models for Generative Kernels. - Manuele Bicego; Marco Cristani; Vittorio Murino; Elzbieta Pekalska; Robert P. W. Duin (EMMCVPR, 2009)

3D Face Recognition Using Joint Differential Invariants. - Marinella Cadoni; Manuele Bicego; Enrico Grosso (ICB, 2009)

Non-linear generative embeddings for kernels on latent variable models. - Anna C. Carli; Manuele Bicego; Sisto Baldo; Vittorio Murino (ICCV Workshops, 2009)

On the Quantitative Estimation of Short-Term Aging in Human Faces. - Marcos Ortega 001; Linda Brodo; Manuele Bicego; Massimo Tistarelli (ICIAP, 2009)

Online subjective feature selection for occlusion management in tracking applications. - Loris Bazzani; Marco Cristani; Manuele Bicego; Vittorio Murino (ICIP, 2009)

Bag of Peaks: interpretation of NMR spectrometry. - Gavin Brelstaff; Manuele Bicego; Nicola Culeddu; Matilde Chessa (Bioinform., 2009)

Dynamic face recognition: From human to machine vision. - Massimo Tistarelli; Manuele Bicego; Enrico Grosso (Image Vis. Comput., 2009)

Soft clustering using weighted one-class support vector machines. - Manuele Bicego; Mário A. T. Figueiredo (Pattern Recognit., 2009)

Component-based discriminative classification for hidden Markov models. - Manuele Bicego; Elzbieta Pekalska; David M. J. Tax; Robert P. W. Duin (Pattern Recognit., 2009)

Dissimilarity-based representation for local parts. - Anna C. Carli; Umberto Castellani; Manuele Bicego; Vittorio Murino (CIP, 2010)

Combining free energy score spaces with information theoretic kernels: Application to scene classification. - Manuele Bicego; Alessandro Perina; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ICIP, 2010)

Biclustering of Expression Microarray Data with Topic Models. - Manuele Bicego; Pietro Lovato; Alberto Ferrarini; Massimo Delledonne (ICPR, 2010)

2D Shape Recognition Using Information Theoretic Kernels. - Manuele Bicego; André Filipe Torres Martins; Vittorio Murino; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (ICPR, 2010)

Nonlinear Mappings for Generative Kernels on Latent Variable Models. - Anna C. Carli; Manuele Bicego; Sisto Baldo; Vittorio Murino (ICPR, 2010)

Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray. - Alessandro Perina; Pietro Lovato; Vittorio Murino; Manuele Bicego (PRIB, 2010)

Expression microarray classification using topic models. - Manuele Bicego; Pietro Lovato; Barbara Oliboni; Alessandro Perina (SAC, 2010)

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. - André F. T. Martins; Manuele Bicego; Vittorio Murino; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (SSPR/SPR, 2010)

Feature Level Fusion of Face and Fingerprint Biometrics - Ajita Rattani; Dakshina Ranjan Kisku; Manuele Bicego; Massimo Tistarelli (CoRR, 2010)

Multimodal Schizophrenia Detection by Multiclassification Analysis. - Aydin Ulas; Umberto Castellani; Pasquale Mirtuono; Manuele Bicego; Vittorio Murino; Stefania Cerruti; Marcella Bellani; Manfredo Atzori; Gianluca Rambaldelli; Michele Tansella; Paolo Brambilla (CIARP, 2011)

An Innovative Protocol for Comparing Protein Binding Sites via Atomic Grid Maps. - Manuele Bicego; Angelo D. Favia; Paola Bisignano; Andrea Cavalli; Vittorio Murino (KDIR, 2011)

CLOOSTING: CLustering Data with bOOSTING. - Fabrizio Smeraldi; Manuele Bicego; Marco Cristani; Vittorio Murino (MCS, 2011)

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. - Manuele Bicego; Aydin Ulas; Peter J. Schüffler; Umberto Castellani; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (PRIB, 2011)

Biclustering of Expression Microarray Data Using Affinity Propagation. - Alessandro Farinelli; Matteo Denitto; Manuele Bicego (PRIB, 2011)

A Comparison on Score Spaces for Expression Microarray Data Classification. - Alessandro Perina; Pietro Lovato; Marco Cristani; Manuele Bicego (PRIB, 2011)

Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma. - Aydin Ulas; Peter J. Schüffler; Manuele Bicego; Umberto Castellani; Vittorio Murino (SIMBAD, 2011)

Dissimilarity-based detection of schizophrenia. - Aydin Ulas; Robert P. W. Duin; Umberto Castellani; Marco Loog; Pasquale Mirtuono; Manuele Bicego; Vittorio Murino; Marcella Bellani; Stefania Cerruti; Michele Tansella; Paolo Brambilla (Int. J. Imaging Syst. Technol., 2011)

Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data. - Pietro Lovato; Alessandro Perina; Nicu Sebe; Omar Zandonà; Alessio Montagnini; Manuele Bicego; Marco Cristani (ACCV (1), 2012)

Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. - Riccardo Avesani; Alessio Azzoni; Manuele Bicego; Mauricio Orozco-Alzate (CIARP, 2012)

2D shape recognition using biological sequence alignment tools. - Manuele Bicego; Pietro Lovato (ICPR, 2012)

Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images. - Anna C. Carli; Mário A. T. Figueiredo; Manuele Bicego; Vittorio Murino (ICPRAM (1), 2012)

2D Shapes Classification Using BLAST. - Pietro Lovato; Manuele Bicego (SSPR/SPR, 2012)

Feature Selection Using Counting Grids: Application to Microarray Data. - Pietro Lovato; Manuele Bicego; Marco Cristani; Nebojsa Jojic; Alessandro Perina (SSPR/SPR, 2012)

In Silico Deconstruction of ATP-Competitive Inhibitors of Glycogen Synthase Kinase-3β. - Paola Bisignano; Chiara Lambruschini; Manuele Bicego; Vittorio Murino; Angelo D. Favia; Andrea Cavalli (J. Chem. Inf. Model., 2012)

Investigating Topic Models' Capabilities in Expression Microarray Data Classification. - Manuele Bicego; Pietro Lovato; Alessandro Perina; Marianna Fasoli; Massimo Delledonne; Mario Pezzotti; Annalisa Polverari; Vittorio Murino (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. - Alessandro Farinelli; Manuele Bicego; Sarvapali D. Ramchurn; Mauro Zucchelli (IJCAI, 2013)

Documents as multiple overlapping windows into grids of counts. - Alessandro Perina; Nebojsa Jojic; Manuele Bicego; Andrzej Truski (NIPS, 2013)

Exploiting Geometry in Counting Grids. - Alessandro Perina; Manuele Bicego; Umberto Castellani; Vittorio Murino (SIMBAD, 2013)

Combining information theoretic kernels with generative embeddings for classification. - Manuele Bicego; Aydin Ulas; Umberto Castellani; Alessandro Perina; Vittorio Murino; André F. T. Martins; Pedro M. Q. Aguiar; Mário A. T. Figueiredo (Neurocomputing, 2013)

Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings. - Manuele Bicego; Carolina Acosta-Munoz; Mauricio Orozco-Alzate (IEEE Trans. Geosci. Remote. Sens., 2013)

On the Combination of Information-Theoretic Kernels with Generative Embeddings. - Pedro M. Q. Aguiar; Manuele Bicego; Umberto Castellani; Mário A. T. Figueiredo; André F. T. Martins; Vittorio Murino; Alessandro Perina; Aydin Ulas (Similarity-Based Pattern Analysis and Recognition, 2013)

Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness. - Aydin Ulas; Umberto Castellani; Manuele Bicego; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (Similarity-Based Pattern Analysis and Recognition, 2013)

A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals. - Paola Castro-Cabrera; Mauricio Orozco-Alzate; Andrea Adami; Manuele Bicego; John Makario Londoño-Bonilla; Germán Castellanos-Domínguez (CIARP, 2014)

A Bioinformatics Approach to 3D Shape Matching. - Manuele Bicego; Stefano Danese; Simone Melzi; Umberto Castellani (ECCV Workshops (4), 2014)

Behavioural Biometrics Using Electricity Load Profiles. - Manuele Bicego; F. Recchia; Alessandro Farinelli; Sarvapali D. Ramchurn; Enrico Grosso (ICPR, 2014)

S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment. - Pietro Lovato; Alessio Milanese; Cesare Centomo; Alejandro Giorgetti; Manuele Bicego (ICPR, 2014)

Expression Microarray Data Classification Using Counting Grids and Fisher Kernel. - Alessandro Perina; Maria Kesa; Manuele Bicego (ICPR, 2014)

A Binary Factor Graph Model for Biclustering. - Matteo Denitto; Alessandro Farinelli; Giuditta Franco; Manuele Bicego (S+SSPR, 2014)

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. - Robert P. W. Duin; Manuele Bicego; Mauricio Orozco-Alzate; Sang-Woon Kim; Marco Loog (S+SSPR, 2014)

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images. - Anna C. Carli; Mário A. T. Figueiredo; Manuele Bicego; Vittorio Murino (Neurocomputing, 2014)

Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are. - Pietro Lovato; Manuele Bicego; Cristina Segalin; Alessandro Perina; Nicu Sebe; Marco Cristani (IEEE Trans. Inf. Forensics Secur., 2014)

Volcano-Seismic Events Classification Using Document Classification Strategies. - Manuele Bicego; John Makario Londoño-Bonilla; Mauricio Orozco-Alzate (ICIAP (1), 2015)

Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. - Matteo Denitto; Alessandro Farinelli; Manuele Bicego (IJCAI, 2015)

Robust Initialization for Learning Latent Dirichlet Allocation. - Pietro Lovato; Manuele Bicego; Vittorio Murino; Alessandro Perina (SIMBAD, 2015)

The DTW-based representation space for seismic pattern classification. - Mauricio Orozco-Alzate; Paola Alexandra Castro-Cabrera; Manuele Bicego; John Makario Londoño-Bonilla (Comput. Geosci., 2015)

A Multimodal Approach for Protein Remote Homology Detection. - Pietro Lovato; Alejandro Giorgetti; Manuele Bicego (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Orienteering-based Path Selection for Mobile Sensors. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Nicola Bombieri; Alessandro Farinelli; Luca Veggian (AIRO@AI*IA, 2016)

Skeleton-Based Orienteering for Level Set Estimation. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Alessandro Farinelli (ECAI, 2016)

Weighted K-Nearest Neighbor revisited. - Manuele Bicego; Marco Loog (ICPR, 2016)

Enriched Bag of Words for Protein Remote Homology Detection. - Andrea Cucci; Pietro Lovato; Manuele Bicego (S+SSPR, 2016)

Multiple Structure Recovery via Probabilistic Biclustering. - Matteo Denitto; Luca Magri; Alessandro Farinelli; Andrea Fusiello; Manuele Bicego (S+SSPR, 2016)

Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. - Mauricio Orozco-Alzate; Robert P. W. Duin; Manuele Bicego (S+SSPR, 2016)

A Quantum Annealing Approach to Biclustering. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli (TPNC, 2016)

Traveling on discrete embeddings of gene expression. - Pietro Lovato; Manuele Bicego; Maria Kesa; Nebojsa Jojic; Vittorio Murino; Alessandro Perina (Artif. Intell. Medicine, 2016)

A bioinformatics approach to 2D shape classification. - Manuele Bicego; Pietro Lovato (Comput. Vis. Image Underst., 2016)

Properties of the Box-Cox transformation for pattern classification. - Manuele Bicego; Sisto Baldo (Neurocomputing, 2016)

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Domenico Bloisi; Jason J. Blum; Matteo Denitto; Alessandro Farinelli (AIRO@AI*IA, 2017)

Dominant Set Biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Marcello Pelillo (EMMCVPR, 2017)

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. - Matteo Denitto; Simone Melzi; Manuele Bicego; Umberto Castellani; Alessandro Farinelli; Mário A. T. Figueiredo; Yanir Kleiman; Maks Ovsjanikov (ICCV, 2017)

Path efficient level set estimation for mobile sensors. - Lorenzo Bottarelli; Jason Blum; Manuele Bicego; Alessandro Farinelli (SAC, 2017)

Biclustering of time series data using factor graphs. - Matteo Denitto; Alessandro Farinelli; Manuele Bicego (SAC, 2017)

A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. - Alessandro Farinelli; Manuele Bicego; Filippo Bistaffa; Sarvapali D. Ramchurn (Eng. Appl. Artif. Intell., 2017)

Spike and slab biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Mário A. T. Figueiredo (Pattern Recognit., 2017)

A biclustering approach based on factor graphs and the max-sum algorithm. - Matteo Denitto; Alessandro Farinelli; Mário A. T. Figueiredo; Manuele Bicego (Pattern Recognit., 2017)

Soft Ngram Representation and Modeling for Protein Remote Homology Detection. - Pietro Lovato; Marco Cristani; Manuele Bicego (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Mining NMR Spectroscopy Using Topic Models. - Manuele Bicego; Pietro Lovato; Marco DeBona; Flavia Guzzo; Michael Assfalg (ICPR, 2018)

Unsupervised activity recognition for autonomous water drones. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Jason Blum; Matteo Denitto; Alessandro Farinelli (SAC, 2018)

Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. - Antonella Mensi; Manuele Bicego; Pietro Lovato; Marco Loog; David M. J. Tax (S+SSPR, 2018)

Clustering via binary embedding. - Manuele Bicego; Mário A. T. Figueiredo (Pattern Recognit., 2018)

On the distinctiveness of the electricity load profile. - Manuele Bicego; Alessandro Farinelli; Enrico Grosso; D. Paolini; Sarvapali D. Ramchurn (Pattern Recognit., 2018)

Biclustering with a quantum annealer. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli; Riccardo Mengoni (Soft Comput., 2018)

A Novel Anomaly Score for Isolation Forests. - Antonella Mensi; Manuele Bicego (ICIAP (1), 2019)

Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier. - Mauricio Orozco-Alzate; Sisto Baldo; Manuele Bicego (ICIAP (1), 2019)

K-Random Forests: a K-means style algorithm for Random Forest clustering. - Manuele Bicego (IJCNN, 2019)

Subspace clustering for situation assessment in aquatic drones. - Alberto Castellini; Francesco Masillo; Manuele Bicego; Domenico Bloisi; Jason Blum; Alessandro Farinelli; Sergio Peignier (SAC, 2019)

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. - Alberto Castellini; Manuele Bicego; Domenico Bloisi; Jason Blum; Francesco Masillo; Sergio Peignier; Alessandro Farinelli (Cybern. Syst., 2019)

Orienteering-based informative path planning for environmental monitoring. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2019)

Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals. - Mauricio Orozco-Alzate; John Makario Londoño-Bonilla; Valentina Nale; Manuele Bicego (Ecol. Informatics, 2019)

On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces. - Manuele Bicego; Enrico Grosso (Image Vis. Comput., 2019)

A dissimilarity-based multiple instance learning approach for protein remote homology detection. - Antonella Mensi; Manuele Bicego; Pietro Lovato; Marco Loog; David M. J. Tax (Pattern Recognit. Lett., 2019)

Dissimilarity Random Forest Clustering. - Manuele Bicego (ICDM, 2020)

On learning Random Forests for Random Forest-clustering. - Manuele Bicego; Francisco Escolano (ICPR, 2020)

PowerHC: non linear normalization of distances for advanced nearest neighbor classification. - Manuele Bicego; Mauricio Orozco-Alzate (ICPR, 2020)

Proximity Isolation Forests. - Antonella Mensi; Manuele Bicego; David M. J. Tax (ICPR, 2020)

A cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points. - Mauricio Orozco-Alzate; Manuele Bicego (ICPR, 2020)

An Alternative Exploitation of Isolation Forests for Outlier Detection. - Antonella Mensi; Alessio Franzoni; David M. J. Tax; Manuele Bicego (S+SSPR, 2020)

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. - Alberto Castellini; Manuele Bicego; Francesco Masillo; Maddalena Zuccotto; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2020)

Biclustering with dominant sets. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Sebastiano Vascon; Marcello Pelillo (Pattern Recognit., 2020)

RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification. - Antonella Mensi; Simona Schiavi; Maria Petracca; Nicole Graziano; Alessandro Daducci; Matilde Inglese; Manuele Bicego (CIBB, 2021)

Enhanced anomaly scores for isolation forests. - Antonella Mensi; Manuele Bicego (Pattern Recognit., 2021)

Using Random Forest Distances for Outlier Detection. - Antonella Mensi; Ferdinando Cicalese; Manuele Bicego (ICIAP (3), 2022)

Distance-Based Random Forest Clustering with Missing Data. - Matteo Raniero; Manuele Bicego; Ferdinando Cicalese (ICIAP (3), 2022)

Active Class Selection for Dataset Acquisition in Sign Language Recognition. - Manuele Bicego; Manuel Vázquez-Enríquez; José Luis Alba-Castro (ICIAP (1), 2023)

On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation. - Manuele Bicego; Ferdinando Cicalese (ECML/PKDD (4), 2023)

Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem. - Manuele Bicego; Antonella Mensi (CoRR, 2023)

Also for k-means: more data does not imply better performance. - Marco Loog; Jesse H. Krijthe; Manuele Bicego (Mach. Learn., 2023)

DisRFC: a dissimilarity-based Random Forest Clustering approach. - Manuele Bicego (Pattern Recognit., 2023)

RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model. - Manuele Bicego; Ferdinando Cicalese; Antonella Mensi (IEEE Trans. Knowl. Data Eng., 2023)

Detecting outliers from pairwise proximities: Proximity isolation forests. - Antonella Mensi; David M. J. Tax; Manuele Bicego (Pattern Recognit., 2023)

An Extension of Random Forest-Clustering Schemes Which Works with Partition-Level Constraints. - Manuele Bicego; Hafiz Ahmad Hassan (ICPR (24), 2024)

An Empirical Characterization of the Stability of Isolation Forest Results. - Alberto Azzari; Manuele Bicego (S+SSPR, 2024)

An Interesting Property of Random Forest Distances with Respect to the Curse of Dimensionality. - Manuele Bicego; Ferdinando Cicalese (S+SSPR, 2024)

Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures. - Alessandro Boaro; Alberto Azzari; Federica Basaldella; Sonia Nunes; Alberto Feletti; Manuele Bicego; Francesco Sala (Comput. Biol. Medicine, 2024)

Computing Random Forest-distances in the presence of missing data. - Manuele Bicego; Ferdinando Cicalese (ACM Trans. Knowl. Discov. Data, 2024)

Counterintuitive Behavior of Clustering Quality: Findings for K-Means on Synthetic and Real Data. - Marco Loog; Jesse H. Krijthe; Manuele Bicego (IDA, 2025)

TSRF-Dist: a novel time series distance based on extremely randomized canonical interval forests. - Alberto Azzari; Manuele Bicego; Carlo Combi; Andrea Cracco; Pietro Sala (Data Min. Knowl. Discov., 2025)