Manuele Bicego

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 61

Top Venues

Publications

Manuele Bicego, Ferdinando Cicalese
Computing Random Forest-distances in the presence of missing data. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Alessandro Boaro, Alberto Azzari, Federica Basaldella, Sonia Nunes, Alberto Feletti, Manuele Bicego, Francesco Sala
Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures. Comput. Biol. Medicine 180 (2024)
Manuele Bicego, Ferdinando Cicalese
Computing Random Forest-distances in the presence of missing data. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Manuele Bicego
DisRFC: a dissimilarity-based Random Forest Clustering approach. Pattern Recognit. 133 (2023)
Manuele Bicego, Antonella Mensi
Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem. CoRR (2023)
Manuele Bicego, Ferdinando Cicalese
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation. ECML/PKDD (4) (2023)
Antonella Mensi, David M. J. Tax, Manuele Bicego
Detecting outliers from pairwise proximities: Proximity isolation forests. Pattern Recognit. 138 (2023)
Manuele Bicego, Ferdinando Cicalese, Antonella Mensi
RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Manuele Bicego, Manuel Vázquez-Enríquez, José Luis Alba-Castro
Active Class Selection for Dataset Acquisition in Sign Language Recognition. ICIAP (1) (2023)
Marco Loog, Jesse H. Krijthe, Manuele Bicego
Also for k-means: more data does not imply better performance. Mach. Learn. 112 (8) (2023)
Matteo Raniero, Manuele Bicego, Ferdinando Cicalese
Distance-Based Random Forest Clustering with Missing Data. ICIAP (3) (2022)
Antonella Mensi, Ferdinando Cicalese, Manuele Bicego
Using Random Forest Distances for Outlier Detection. ICIAP (3) (2022)
Antonella Mensi, Manuele Bicego
Enhanced anomaly scores for isolation forests. Pattern Recognit. 120 (2021)
Antonella Mensi, Simona Schiavi, Maria Petracca, Nicole Graziano, Alessandro Daducci, Matilde Inglese, Manuele Bicego
RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification. CIBB (2021)
Alberto Castellini, Manuele Bicego, Francesco Masillo, Maddalena Zuccotto, Alessandro Farinelli
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Eng. Appl. Artif. Intell. 90 (2020)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo
Biclustering with dominant sets. Pattern Recognit. 104 (2020)
Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego
An Alternative Exploitation of Isolation Forests for Outlier Detection. S+SSPR (2020)
Manuele Bicego, Francisco Escolano
On learning Random Forests for Random Forest-clustering. ICPR (2020)
Antonella Mensi, Manuele Bicego, David M. J. Tax
Proximity Isolation Forests. ICPR (2020)
Manuele Bicego, Mauricio Orozco-Alzate
PowerHC: non linear normalization of distances for advanced nearest neighbor classification. ICPR (2020)
Mauricio Orozco-Alzate, Manuele Bicego
A cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points. ICPR (2020)
Manuele Bicego
Dissimilarity Random Forest Clustering. ICDM (2020)
Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli
Orienteering-based informative path planning for environmental monitoring. Eng. Appl. Artif. Intell. 77 (2019)
Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier
Subspace clustering for situation assessment in aquatic drones. SAC (2019)
Mauricio Orozco-Alzate, John Makario Londoño-Bonilla, Valentina Nale, Manuele Bicego
Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals. Ecol. Informatics 51 (2019)
Manuele Bicego
K-Random Forests: a K-means style algorithm for Random Forest clustering. IJCNN (2019)
Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
A dissimilarity-based multiple instance learning approach for protein remote homology detection. Pattern Recognit. Lett. 128 (2019)
Alberto Castellini, Manuele Bicego, Domenico Bloisi, Jason Blum, Francesco Masillo, Sergio Peignier, Alessandro Farinelli
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. Cybern. Syst. 50 (8) (2019)
Manuele Bicego, Enrico Grosso
On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces. Image Vis. Comput. 92 (2019)
Mauricio Orozco-Alzate, Sisto Baldo, Manuele Bicego
Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier. ICIAP (1) (2019)
Antonella Mensi, Manuele Bicego
A Novel Anomaly Score for Isolation Forests. ICIAP (1) (2019)
Manuele Bicego, Alessandro Farinelli, Enrico Grosso, D. Paolini, Sarvapali D. Ramchurn
On the distinctiveness of the electricity load profile. Pattern Recognit. 74 (2018)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli
Unsupervised activity recognition for autonomous water drones. SAC (2018)
Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli, Riccardo Mengoni
Biclustering with a quantum annealer. Soft Comput. 22 (18) (2018)
Manuele Bicego, Mário A. T. Figueiredo
Clustering via binary embedding. Pattern Recognit. 83 (2018)
Manuele Bicego, Pietro Lovato, Marco DeBona, Flavia Guzzo, Michael Assfalg
Mining NMR Spectroscopy Using Topic Models. ICPR (2018)
Antonelli Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax
Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. S+SSPR (2018)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Domenico Bloisi, Jason J. Blum, Matteo Denitto, Alessandro Farinelli
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. AIRO@AI*IA (2017)
Lorenzo Bottarelli, Jason Blum, Manuele Bicego, Alessandro Farinelli
Path efficient level set estimation for mobile sensors. SAC (2017)
Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV (2017)
Alessandro Farinelli, Manuele Bicego, Filippo Bistaffa, Sarvapali D. Ramchurn
A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. Eng. Appl. Artif. Intell. 59 (2017)
Matteo Denitto, Alessandro Farinelli, Manuele Bicego
Biclustering of time series data using factor graphs. SAC (2017)
Matteo Denitto, Alessandro Farinelli, Mário A. T. Figueiredo, Manuele Bicego
A biclustering approach based on factor graphs and the max-sum algorithm. Pattern Recognit. 62 (2017)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo
Spike and slab biclustering. Pattern Recognit. 72 (2017)
Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo
Dominant Set Biclustering. EMMCVPR (2017)
Pietro Lovato, Marco Cristani, Manuele Bicego
Soft Ngram Representation and Modeling for Protein Remote Homology Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Manuele Bicego, Marco Loog
Weighted K-Nearest Neighbor revisited. ICPR (2016)
Andrea Cucci, Pietro Lovato, Manuele Bicego
Enriched Bag of Words for Protein Remote Homology Detection. S+SSPR (2016)
Manuele Bicego, Pietro Lovato
A bioinformatics approach to 2D shape classification. Comput. Vis. Image Underst. 145 (2016)
Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR (2016)
Pietro Lovato, Manuele Bicego, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Alessandro Perina
Traveling on discrete embeddings of gene expression. Artif. Intell. Medicine 70 (2016)
Mauricio Orozco-Alzate, Robert P. W. Duin, Manuele Bicego
Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. S+SSPR (2016)
Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli
Skeleton-Based Orienteering for Level Set Estimation. ECAI (2016)
Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli
A Quantum Annealing Approach to Biclustering. TPNC (2016)
Manuele Bicego, Sisto Baldo
Properties of the Box-Cox transformation for pattern classification. Neurocomputing 218 (2016)
Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Nicola Bombieri, Alessandro Farinelli, Luca Veggian
Orienteering-based Path Selection for Mobile Sensors. AIRO@AI*IA (2016)
Matteo Denitto, Alessandro Farinelli, Manuele Bicego
Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. IJCAI (2015)
Mauricio Orozco-Alzate, Paola Alexandra Castro-Cabrera, Manuele Bicego, John Makario Londoño-Bonilla
The DTW-based representation space for seismic pattern classification. Comput. Geosci. 85 (2015)
Pietro Lovato, Manuele Bicego, Vittorio Murino, Alessandro Perina
Robust Initialization for Learning Latent Dirichlet Allocation. SIMBAD (2015)
Manuele Bicego, John Makario Londoño-Bonilla, Mauricio Orozco-Alzate
Volcano-Seismic Events Classification Using Document Classification Strategies. ICIAP (1) (2015)
Pietro Lovato, Alejandro Giorgetti, Manuele Bicego
A Multimodal Approach for Protein Remote Homology Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (5) (2015)
Manuele Bicego, F. Recchia, Alessandro Farinelli, Sarvapali D. Ramchurn, Enrico Grosso
Behavioural Biometrics Using Electricity Load Profiles. ICPR (2014)
Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, Sang-Woon Kim, Marco Loog
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. S+SSPR (2014)
Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino
Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images. Neurocomputing 123 (2014)
Pietro Lovato, Manuele Bicego, Cristina Segalin, Alessandro Perina, Nicu Sebe, Marco Cristani
Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are. IEEE Trans. Inf. Forensics Secur. 9 (3) (2014)
Paola Castro-Cabrera, Mauricio Orozco-Alzate, Andrea Adami, Manuele Bicego, John Makario Londoño-Bonilla, Germán Castellanos-Domínguez
A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals. CIARP (2014)
Pietro Lovato, Alessio Milanese, Cesare Centomo, Alejandro Giorgetti, Manuele Bicego
S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment. ICPR (2014)
Alessandro Perina, Maria Kesa, Manuele Bicego
Expression Microarray Data Classification Using Counting Grids and Fisher Kernel. ICPR (2014)
Matteo Denitto, Alessandro Farinelli, Giuditta Franco, Manuele Bicego
A Binary Factor Graph Model for Biclustering. S+SSPR (2014)
Manuele Bicego, Stefano Danese, Simone Melzi, Umberto Castellani
A Bioinformatics Approach to 3D Shape Matching. ECCV Workshops (4) (2014)
Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski
Documents as multiple overlapping windows into grids of counts. NIPS (2013)
Alessandro Farinelli, Manuele Bicego, Sarvapali D. Ramchurn, Mauro Zucchelli
C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. IJCAI (2013)
Alessandro Perina, Manuele Bicego, Umberto Castellani, Vittorio Murino
Exploiting Geometry in Counting Grids. SIMBAD (2013)
Manuele Bicego, Carolina Acosta-Munoz, Mauricio Orozco-Alzate
Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings. IEEE Trans. Geosci. Remote. Sens. 51 (6-1) (2013)
Manuele Bicego, Aydin Ulas, Umberto Castellani, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
Combining information theoretic kernels with generative embeddings for classification. Neurocomputing 101 (2013)
Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino
Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images. ICPRAM (1) (2012)
Pietro Lovato, Manuele Bicego
2D Shapes Classification Using BLAST. SSPR/SPR (2012)
Riccardo Avesani, Alessio Azzoni, Manuele Bicego, Mauricio Orozco-Alzate
Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. CIARP (2012)
Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina
Feature Selection Using Counting Grids: Application to Microarray Data. SSPR/SPR (2012)
Manuele Bicego, Pietro Lovato
2D shape recognition using biological sequence alignment tools. ICPR (2012)
Pietro Lovato, Alessandro Perina, Nicu Sebe, Omar Zandonà, Alessio Montagnini, Manuele Bicego, Marco Cristani
Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data. ACCV (1) (2012)
Manuele Bicego, Pietro Lovato, Alessandro Perina, Marianna Fasoli, Massimo Delledonne, Mario Pezzotti, Annalisa Polverari, Vittorio Murino
Investigating Topic Models' Capabilities in Expression Microarray Data Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (6) (2012)
Paola Bisignano, Chiara Lambruschini, Manuele Bicego, Vittorio Murino, Angelo D. Favia, Andrea Cavalli
In Silico Deconstruction of ATP-Competitive Inhibitors of Glycogen Synthase Kinase-3β. J. Chem. Inf. Model. 52 (12) (2012)
Aydin Ulas, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla
Dissimilarity-based detection of schizophrenia. Int. J. Imaging Syst. Technol. 21 (2) (2011)
Manuele Bicego, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. PRIB (2011)
Aydin Ulas, Umberto Castellani, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Stefania Cerruti, Marcella Bellani, Manfredo Atzori, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla
Multimodal Schizophrenia Detection by Multiclassification Analysis. CIARP (2011)
Alessandro Farinelli, Matteo Denitto, Manuele Bicego
Biclustering of Expression Microarray Data Using Affinity Propagation. PRIB (2011)
Fabrizio Smeraldi, Manuele Bicego, Marco Cristani, Vittorio Murino
CLOOSTING: CLustering Data with bOOSTING. MCS (2011)
Manuele Bicego, Angelo D. Favia, Paola Bisignano, Andrea Cavalli, Vittorio Murino
An Innovative Protocol for Comparing Protein Binding Sites via Atomic Grid Maps. KDIR (2011)
Alessandro Perina, Pietro Lovato, Marco Cristani, Manuele Bicego
A Comparison on Score Spaces for Expression Microarray Data Classification. PRIB (2011)
Aydin Ulas, Peter J. Schüffler, Manuele Bicego, Umberto Castellani, Vittorio Murino
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma. SIMBAD (2011)
Anna C. Carli, Umberto Castellani, Manuele Bicego, Vittorio Murino
Dissimilarity-based representation for local parts. CIP (2010)
Anna C. Carli, Manuele Bicego, Sisto Baldo, Vittorio Murino
Nonlinear Mappings for Generative Kernels on Latent Variable Models. ICPR (2010)
Manuele Bicego, André Filipe Torres Martins, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
2D Shape Recognition Using Information Theoretic Kernels. ICPR (2010)
Manuele Bicego, Pietro Lovato, Alberto Ferrarini, Massimo Delledonne
Biclustering of Expression Microarray Data with Topic Models. ICPR (2010)
Manuele Bicego, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
Combining free energy score spaces with information theoretic kernels: Application to scene classification. ICIP (2010)
Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego, Massimo Tistarelli
Feature Level Fusion of Face and Fingerprint Biometrics CoRR (2010)
Alessandro Perina, Pietro Lovato, Vittorio Murino, Manuele Bicego
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray. PRIB (2010)
André F. T. Martins, Manuele Bicego, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. SSPR/SPR (2010)
Manuele Bicego, Pietro Lovato, Barbara Oliboni, Alessandro Perina
Expression microarray classification using topic models. SAC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Manuele Bicego