Manuele Bicego

发表

Documents as multiple overlapping windows into grids of counts

Nebojsa Jojic, Alessandro Perina, Manuele Bicego, 2013, NIPS.

Non-linear generative embeddings for kernels on latent variable models

Manuele Bicego, Vittorio Murino, Anna C. Carli, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Skeleton-Based Orienteering for Level Set Estimation

Manuele Bicego, Alessandro Farinelli, Lorenzo Bottarelli, 2016, ECAI.

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering

Maks Ovsjanikov, Mário A. T. Figueiredo, Manuele Bicego, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Hybrid HMM/SVM model for the analysis and segmentation of teleoperation tasks

Paolo Fiorini, Debora Botturi, Manuele Bicego, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Automatic Updating of Urban Vector Maps

Manuele Bicego, Andrea Fusiello, Vittorio Murino, 2005, ICIAP.

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2003, MLDM.

A sequential pruning strategy for the selection of the number of states in hidden Markov models

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2003, Pattern Recognit. Lett..

The Topography of Visually Guided Grasping in the Premotor Cortex: A Dense-Transcranial Magnetic Stimulation (TMS) Mapping Study

Luigi Cattaneo, Manuele Bicego, Carlotta Lega, 2020, The Journal of Neuroscience.

Using hidden Markov models and wavelets for face recognition

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

2D Shape Recognition Using Information Theoretic Kernels

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2010, 2010 20th International Conference on Pattern Recognition.

K-Random Forests: a K-means style algorithm for Random Forest clustering

Manuele Bicego, M. Bicego, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2014, Neurocomputing.

Generalized Gaussian distributions for sequential data classification

Enrico Grosso, Manuele Bicego, Daniel González-Jiménez, 2008, 2008 19th International Conference on Pattern Recognition.

A comparative analysis of basic pattern recognition techniques for the development of small size electronic nose

Manuele Bicego, Giampietro Tecchiolli, Gino Tessari, 2002 .

Unsupervised activity recognition for autonomous water drones

Manuele Bicego, Alessandro Farinelli, Alberto Castellini, 2018, SAC.

On the Combination of Information-Theoretic Kernels with Generative Embeddings

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2013, Similarity-Based Pattern Analysis and Recognition.

Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data

Nicu Sebe, Alessandro Perina, Manuele Bicego, 2012, ACCV.

Audio-Visual Foreground Extraction for Event Characterization

Manuele Bicego, Vittorio Murino, Marco Cristani, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals

Germán Castellanos-Domínguez, Manuele Bicego, Mauricio Orozco-Alzate, 2014, CIARP.

Feature Level Fusion of Face and Fingerprint

Massimo Tistarelli, Manuele Bicego, Dakshina Ranjan Kisku, 2007 .

Face Authentication Using One-Class Support Vector Machines

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2005, IWBRS.

Path efficient level set estimation for mobile sensors

Manuele Bicego, Alessandro Farinelli, Lorenzo Bottarelli, 2017, SAC.

Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals

Manuele Bicego, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla, 2019, Ecol. Informatics.

2D Face Recognition

Albert Ali Salah, Massimo Tistarelli, Bernadette Dorizzi, 2009 .

Expression Microarray Data Classification Using Counting Grids and Fisher Kernel

Alessandro Perina, Manuele Bicego, Maria Kesa, 2014, 2014 22nd International Conference on Pattern Recognition.

Expression microarray classification using topic models

Alessandro Perina, Manuele Bicego, Barbara Oliboni, 2010, SAC '10.

Component-based discriminative classification for hidden Markov models

Robert P. W. Duin, Manuele Bicego, Elzbieta Pekalska, 2009, Pattern Recognit..

On the Use of SIFT Features for Face Authentication

Andrea Lagorio, Enrico Grosso, Massimo Tistarelli, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Generalization in Holistic versus Analytic Processing of Faces

Enrico Grosso, Albert Ali Salah, Lale Akarun, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Manuele Bicego, David M. J. Tax, Pietro Lovato, 2019, Pattern Recognit. Lett..

A Bioinformatics Approach to 3D Shape Matching

Manuele Bicego, Umberto Castellani, Simone Melzi, 2014, ECCV Workshops.

2D Shape Classification Using Multifractional Brownian Motion

Manuele Bicego, Alessandro Trudda, M. Bicego, 2008, SSPR/SPR.

A Novel Anomaly Score for Isolation Forests

Manuele Bicego, Antonella Mensi, M. Bicego, 2019, ICIAP.

Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation

Massimo Tistarelli, Manuele Bicego, Johan W. H. Tangelder, 2007, ICB.

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods

Manuele Bicego, Alessandro Farinelli, Alberto Castellini, 2017, AIRO@AI*IA.

Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings

Manuele Bicego, Mauricio Orozco-Alzate, Carolina Acosta-Munoz, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Multilevel Background Initialization using Hidden Markov Models

Manuele Bicego, Vittorio Murino, Marco Cristani, 2003 .

Nonlinear Mappings for Generative Kernels on Latent Variable Models

Manuele Bicego, Vittorio Murino, Anna C. Carli, 2010, 2010 20th International Conference on Pattern Recognition.

Statistical classification of raw textile defects

Manuele Bicego, Vittorio Murino, Ivan A. Rossi, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance

Robert P. W. Duin, Sang-Woon Kim, Manuele Bicego, 2014, S+SSPR.

On-line adaptive background modelling for audio surveillance

Manuele Bicego, Vittorio Murino, Marco Cristani, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Investigating Topic Models' Capabilities in Expression Microarray Data Classification

Alessandro Perina, Manuele Bicego, Vittorio Murino, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A review of video-based Face Recognition Algorithms

Rama Chellappa, Manuele Bicego, Pavan Turaga, 2009 .

Unsupervised scene analysis: a hidden Markov model approach

Manuele Bicego, Vittorio Murino, Marco Cristani, 2006 .

S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment

Manuele Bicego, Pietro Lovato, Alejandro Giorgetti, 2014, 2014 22nd International Conference on Pattern Recognition.

On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces

Manuele Bicego, Enrico Grosso, E. Grosso, 2019, Image Vis. Comput..

3D Face Recognition Using Stereoscopic Vision

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2003, Advanced Studies in Biometrics.

3D Face Recognition Using Joint Differential Invariants

Marinella Cadoni, Enrico Grosso, Manuele Bicego, 2009, ICB.

A Quantum Annealing Approach to Biclustering

Manuele Bicego, Alessandro Farinelli, Alessandra Di Pierro, 2016, TPNC.

Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are

Nicu Sebe, Alessandro Perina, Manuele Bicego, 2014, IEEE Transactions on Information Forensics and Security.

Bag of Peaks: interpretation of NMR spectrometry

Manuele Bicego, Gavin Brelstaff, Matilde Chessa, 2009, Bioinform..

Recognizing People's Faces: from Human to Machine Vision

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

In Silico Deconstruction of ATP-Competitive Inhibitors of Glycogen Synthase Kinase-3β

Manuele Bicego, Vittorio Murino, Andrea Cavalli, 2012, J. Chem. Inf. Model..

Clustering via binary embedding

Mário A. T. Figueiredo, Manuele Bicego, M. Bicego, 2018, Pattern Recognit..

CLOOSTING: CLustering Data with bOOSTING

Manuele Bicego, Vittorio Murino, Fabrizio Smeraldi, 2011, MCS.

Combining information theoretic kernels with generative embeddings for classification

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2013, Neurocomputing.

Online subjective feature selection for occlusion management in tracking applications

Manuele Bicego, Vittorio Murino, Marco Cristani, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Similarity-Based Pattern Recognition

Andrea Torsello, Marcello Pelillo, Manuele Bicego, 2006, Lecture Notes in Computer Science.

Robust Initialization for Learning Latent Dirichlet Allocation

Alessandro Perina, Manuele Bicego, Vittorio Murino, 2015, SIMBAD.

Video-Based Face Recognition Algorithms

Rama Chellappa, Manuele Bicego, Pavan Turaga, 2009, Handbook of Remote Biometrics.

Principal Component Analysis In Dynamic Force Spectroscopy

Alberto Diaspro, Manuele Bicego, Marco Cristani, 2011 .

A supervised data-driven approach for microarray spot quality classification

Manuele Bicego, Vittorio Murino, Maria Rosario Martinez, 2005, Pattern Analysis and Applications.

A Multimodal Approach for Protein Remote Homology Detection

Manuele Bicego, Pietro Lovato, Alejandro Giorgetti, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Orienteering-based Path Selection for Mobile Sensors

Manuele Bicego, Alessandro Farinelli, Lorenzo Bottarelli, 2016, AIRO@AI*IA.

Robert P. W. Duin, Manuele Bicego, Umberto Castellani, 2010, ICPR 2010.

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2004, Pattern Recognit..

Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences

Manuele Bicego, Franco Dellaglio, Giovanna E. Felis, 2007, J. Bioinform. Comput. Biol..

Audio-Video Integration for Background Modelling

Manuele Bicego, Vittorio Murino, Marco Cristani, 2004, ECCV.

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement

Manuele Bicego, Alessandro Farinelli, Alberto Castellini, 2019, Cybern. Syst..

Volcano-Seismic Events Classification Using Document Classification Strategies

Manuele Bicego, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla, 2015, ICIAP.

Behavioural Biometrics Using Electricity Load Profiles

Sarvapali D. Ramchurn, Enrico Grosso, Manuele Bicego, 2014, 2014 22nd International Conference on Pattern Recognition.

Face recognition with Multilevel B-Splines and Support Vector Machines

Manuele Bicego, Vittorio Murino, Gianluca Iacono, 2003, WBMA '03.

A Hidden Markov Model approach to classify the sign of financial local trends

Enrico Grosso, Manuele Bicego, Edoardo Otranto, 2008 .

Dynamic face recognition: From human to machine vision

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2009, Image Vis. Comput..

2D shape recognition by hidden Markov models

Manuele Bicego, Vittorio Murino, Vittorio Murino, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

Orienteering-based informative path planning for environmental monitoring

Manuele Bicego, Alessandro Farinelli, Lorenzo Bottarelli, 2019, Eng. Appl. Artif. Intell..

A multimodal approach to protein remote homology detection

Manuele Bicego, Pietro Lovato, Alejandro Giorgetti, 2014 .

2D Shapes Classification Using BLAST

Manuele Bicego, Pietro Lovato, 2012, SSPR/SPR.

Odor classification using similarity-based representation

Manuele Bicego, M. Bicego, 2005 .

A Hidden Markov Model approach for appearance-based 3D object recognition

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2005, Pattern Recognit. Lett..

A Hidden Markov Model-Based Approach to Sequential Data Clustering

Manuele Bicego, Vittorio Murino, Antonello Panuccio, 2002, SSPR/SPR.

Combination of atomic force microscopy and principal component analysis as a general method for direct recognition of functional and structural domains in nanonocomposite materials

Alberto Diaspro, Manuele Bicego, Vittorio Murino, 2010, Microscopy research and technique.

Investigating hidden Markov models' capabilities in 2D shape classification

Manuele Bicego, Vittorio Murino, Vittorio Murino, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2011, PRIB.

Recognition of Human Faces: From Biological to Artificial Vision

Andrea Lagorio, Massimo Tistarelli, Manuele Bicego, 2007, BVAI.

A bioinformatics approach to 2D shape classification

Manuele Bicego, Pietro Lovato, 2016, Comput. Vis. Image Underst..

Enriched Bag of Words for Protein Remote Homology Detection

Manuele Bicego, Pietro Lovato, Andrea Cucci, 2016, S+SSPR.

Statistical classification of raw textile defects

Manuele Bicego, Vittorio Murino, I. A. Rossi, 2004, ICPR 2004.

Unsupervised scene analysis: A hidden Markov model approach

Manuele Bicego, Vittorio Murino, Marco Cristani, 2006, Comput. Vis. Image Underst..

On the distinctiveness of the electricity load profile

Sarvapali D. Ramchurn, Enrico Grosso, Manuele Bicego, 2018, Pattern Recognit..

Watershed-Based Unsupervised Clustering

Manuele Bicego, Andrea Fusiello, Vittorio Murino, 2003, EMMCVPR.

Automatic road extraction from aerial images by probabilistic contour tracking

Manuele Bicego, Vittorio Murino, Gianni Vernazza, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Integrated region- and pixel-based approach to background modelling

Manuele Bicego, Vittorio Murino, Marco Cristani, 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier

Manuele Bicego, Sisto Baldo, Mauricio Orozco-Alzate, 2019, ICIAP.

Probabilistic face authentication using hidden Markov models

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2005, SPIE Defense + Commercial Sensing.

C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation

Sarvapali D. Ramchurn, Manuele Bicego, Alessandro Farinelli, 2013, IJCAI.

Spike and slab biclustering

Mário A. T. Figueiredo, Manuele Bicego, Alessandro Farinelli, 2017, Pattern Recognit..

A Comparison Between Time-frequency and Cepstral Feature Representations for Seismic-volcanic Pattern Classification

Manuele Bicego, G. Castellanos Dominguez, P. A. Castro Cabrera, 2014 .

Measuring differences between faces

Andrea Lagorio, Enrico Grosso, Massimo Tistarelli, 2005, 2005 13th European Signal Processing Conference.

Subspace clustering for situation assessment in aquatic drones

Manuele Bicego, Alessandro Farinelli, Alberto Castellini, 2019, SAC.

Exploiting Geometry in Counting Grids

Alessandro Perina, Manuele Bicego, Umberto Castellani, 2013, SIMBAD.

Weighted K-Nearest Neighbor revisited

Manuele Bicego, Marco Loog, M. Bicego, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

An Innovative Protocol for Comparing Protein Binding Sites via Atomic Grid Maps

Manuele Bicego, Vittorio Murino, Andrea Cavalli, 2011, KDIR.

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

A Hybrid Generative/Discriminative Method for Classification of Regions of Interest in Schizophrenia Brain MRI

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2009 .

Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm

Manuele Bicego, Alessandro Farinelli, Matteo Denitto, 2015, IJCAI.

Audio-Visual Event Recognition in Surveillance Video Sequences

Manuele Bicego, Vittorio Murino, Marco Cristani, 2007, IEEE Transactions on Multimedia.

Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness

Michele Tansella, Manuele Bicego, Umberto Castellani, 2013, Similarity-Based Pattern Analysis and Recognition.

Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2006, ICB.

Distinctiveness of faces: A computational approach

Andrea Lagorio, Enrico Grosso, Massimo Tistarelli, 2008, TAP.

A Comparison on Score Spaces for Expression Microarray Data Classification

Alessandro Perina, Manuele Bicego, Marco Cristani, 2011, PRIB.

Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images

Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino, 2012, ICPRAM.

Multimodal Schizophrenia Detection by Multiclassification Analysis

Manfredo Atzori, Michele Tansella, Manuele Bicego, 2011, CIARP.

Biclustering with a quantum annealer

Manuele Bicego, Alessandro Farinelli, Alessandra Di Pierro, 2018, Soft Computing.

Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning

Manuele Bicego, Marco Loog, David M. J. Tax, 2018, S+SSPR.

Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray

Alessandro Perina, Manuele Bicego, Vittorio Murino, 2010, PRIB.

Robert P. W. Duin, Michele Tansella, Manuele Bicego, 2010, 2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging.

Combining free energy score spaces with information theoretic kernels: Application to scene classification

André F. T. Martins, Mário A. T. Figueiredo, Alessandro Perina, 2010, 2010 IEEE International Conference on Image Processing.

Biclustering with dominant sets

Marcello Pelillo, Manuele Bicego, Alessandro Farinelli, 2020, Pattern Recognit..

Biclustering of Expression Microarray Data with Topic Models

Manuele Bicego, Pietro Lovato, Alberto Ferrarini, 2010, 2010 20th International Conference on Pattern Recognition.

Designing the Minimal Structure of Hidden Markov Model by Bisimulation

Agostino Dovier, Manuele Bicego, Vittorio Murino, 2001, EMMCVPR.

On the Quantitative Estimation of Short-Term Aging in Human Faces

Massimo Tistarelli, Manuele Bicego, Marcos Ortega, 2009, ICIAP.

Special issue on Similarity-based pattern recognition

Andrea Torsello, Marcello Pelillo, Manuele Bicego, 2006 .

The DTW-based representation space for seismic pattern classification

Manuele Bicego, Mauricio Orozco-Alzate, John Makario Londoño-Bonilla, 2015, Comput. Geosci..

Hidden Markov model-based face recognition using selective attention

Enrico Grosso, Albert Ali Salah, Lale Akarun, 2007, Electronic Imaging.

Biclustering of time series data using factor graphs

Manuele Bicego, Alessandro Farinelli, Matteo Denitto, 2017, SAC.

Properties of the Box-Cox transformation for pattern classification

Manuele Bicego, Sisto Baldo, 2016, Neurocomputing.

Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma

Manuele Bicego, Umberto Castellani, Vittorio Murino, 2011, SIMBAD.

Mining NMR Spectroscopy Using Topic Models

Manuele Bicego, Pietro Lovato, Michael Assfalg, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Group-Induced Vector Spaces

Robert P. W. Duin, Manuele Bicego, Elzbieta Pekalska, 2007, MCS.

On Finding Differences Between Faces

Enrico Grosso, Massimo Tistarelli, Manuele Bicego, 2005, AVBPA.

Biclustering of Expression Microarray Data Using Affinity Propagation

Manuele Bicego, Alessandro Farinelli, Matteo Denitto, 2011, PRIB.

Clustering-Based Construction of Hidden Markov Models for Generative Kernels

Robert P. W. Duin, Manuele Bicego, Vittorio Murino, 2009, EMMCVPR.

Sparseness Achievement in Hidden Markov Models

Manuele Bicego, Vittorio Murino, Marco Cristani, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

A Binary Factor Graph Model for Biclustering

Manuele Bicego, Alessandro Farinelli, Matteo Denitto, 2014, S+SSPR.

Feature Level Fusion of Face and Fingerprint Biometrics

Massimo Tistarelli, Manuele Bicego, Dakshina Ranjan Kisku, 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

Soft Ngram Representation and Modeling for Protein Remote Homology Detection

Manuele Bicego, Marco Cristani, Pietro Lovato, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework

Manuele Bicego, Alessandro Farinelli, Alberto Castellini, 2020, Eng. Appl. Artif. Intell..

COMPARING FACES: A COMPUTATIONAL AND PERCEPTUAL STUDY

Andrea Lagorio, Massimo Tistarelli, Manuele Bicego, 2006 .

Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces

Manuele Bicego, Mauricio Orozco-Alzate, Riccardo Avesani, 2012, CIARP.

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models

André F. T. Martins, Mário A. T. Figueiredo, Manuele Bicego, 2010, SSPR/SPR.

Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space

Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, 2016, S+SSPR.

Traveling on discrete embeddings of gene expression

Nebojsa Jojic, Alessandro Perina, Manuele Bicego, 2016, Artif. Intell. Medicine.

Dominant Set Biclustering

Marcello Pelillo, Manuele Bicego, Alessandro Farinelli, 2017, EMMCVPR.

On-line adaptive background modelling for audio surveillance

Manuele Bicego, Vittorio Murino, Marco Cristani, 2004, ICPR 2004.

2D shape recognition using biological sequence alignment tools

Manuele Bicego, Pietro Lovato, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Soft clustering using weighted one-class support vector machines

Mário A. T. Figueiredo, Manuele Bicego, M. Bicego, 2009, Pattern Recognit..

Feature Selection Using Counting Grids: Application to Microarray Data

Nebojsa Jojic, Alessandro Perina, Manuele Bicego, 2012, SSPR/SPR.

Measuring changes in face appearance through aging

Massimo Tistarelli, Manuele Bicego, Marcos Ortega, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees

Sarvapali D. Ramchurn, Manuele Bicego, Alessandro Farinelli, 2017, Eng. Appl. Artif. Intell..

A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends

Enrico Grosso, Manuele Bicego, Edoardo Otranto, 2008, SSPR/SPR.

Multiple Structure Recovery via Probabilistic Biclustering

Manuele Bicego, Andrea Fusiello, Alessandro Farinelli, 2016, S+SSPR.

Proximity Isolation Forests

Manuele Bicego, David M. J. Tax, Antonella Mensi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

A cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points

Manuele Bicego, Mauricio Orozco-Alzate, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Enhanced anomaly scores for isolation forests

Manuele Bicego, Antonella Mensi, M. Bicego, 2021, Pattern Recognit..

RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky’s Ratio Model

Manuele Bicego, Ferdinando Cicalese, Antonella Mensi, 2023, IEEE Transactions on Knowledge and Data Engineering.

PowerHC: non linear normalization of distances for advanced nearest neighbor classification

Manuele Bicego, Mauricio Orozco-Alzate, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

On learning Random Forests for Random Forest-clustering

Francisco Escolano, Manuele Bicego, M. Bicego, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

RECOGNIZING AND FORECASTING THE SIGN OF FINANCIAL LOCAL TRENDS USING HIDDEN MARKOV MODELS

Enrico Grosso, Manuele Bicego, Edoardo Otranto, 2008 .

The Grapevine Expression Atlas Reveals a Deep Transcriptome Shift Driving the Entire Plant into a Maturation Program[W][OA]

Manuele Bicego, Vittorio Murino, Lorenzo Farina, 2012, Plant Cell.

A bioinformatics approach to 2 D shape classification ✩

Manuele Bicego, Pietro Lovato, 2016 .

Face-pair scrutiny - subject-type classification

Enrico Grosso, Manuele Bicego, Linda Brodo, 2006 .

Genome classification by dictionary-based indexes

Gabriele Tosadori, Vincenzo Manca, Manuele Bicego, 2011 .

Robust Feature-Level Multibiometric Classification

Massimo Tistarelli, Manuele Bicego, Dakshina Ranjan Kisku, 2006, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference.