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2020 – today
- 2024
[j47]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: 109032 (2024)- [j46]Manuele Bicego, Ferdinando Cicalese:
Computing Random Forest-distances in the presence of missing data. ACM Trans. Knowl. Discov. Data 18(7): 180 (2024) - 2023
- [j45]Marco Loog, Jesse H. Krijthe, Manuele Bicego:
Also for k-means: more data does not imply better performance. Mach. Learn. 112(8): 3033-3050 (2023) - [j44]Manuele Bicego:
DisRFC: a dissimilarity-based Random Forest Clustering approach. Pattern Recognit. 133: 109036 (2023) - [j43]Antonella Mensi, David M. J. Tax, Manuele Bicego:
Detecting outliers from pairwise proximities: Proximity isolation forests. Pattern Recognit. 138: 109334 (2023) - [j42]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): 830-841 (2023) - [c100]Manuele Bicego, Manuel Vázquez-Enríquez, José Luis Alba-Castro:
Active Class Selection for Dataset Acquisition in Sign Language Recognition. ICIAP (1) 2023: 304-315 - [c99]Manuele Bicego, Ferdinando Cicalese:
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation. ECML/PKDD (4) 2023: 645-660 - [i2]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 abs/2306.06140 (2023) - 2022
- [c98]Antonella Mensi, Ferdinando Cicalese, Manuele Bicego:
Using Random Forest Distances for Outlier Detection. ICIAP (3) 2022: 75-86 - [c97]Matteo Raniero, Manuele Bicego, Ferdinando Cicalese:
Distance-Based Random Forest Clustering with Missing Data. ICIAP (3) 2022: 121-132 - 2021
- [j41]Antonella Mensi, Manuele Bicego:
Enhanced anomaly scores for isolation forests. Pattern Recognit. 120: 108115 (2021) - [c96]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: 158-169 - 2020
- [j40]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: 103499 (2020) - [j39]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo:
Biclustering with dominant sets. Pattern Recognit. 104: 107318 (2020) - [c95]Manuele Bicego:
Dissimilarity Random Forest Clustering. ICDM 2020: 936-941 - [c94]Manuele Bicego, Mauricio Orozco-Alzate:
PowerHC: non linear normalization of distances for advanced nearest neighbor classification. ICPR 2020: 1205-1211 - [c93]Mauricio Orozco-Alzate, Manuele Bicego:
A cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points. ICPR 2020: 2787-2794 - [c92]Manuele Bicego, Francisco Escolano:
On learning Random Forests for Random Forest-clustering. ICPR 2020: 3451-3458 - [c91]Antonella Mensi, Manuele Bicego, David M. J. Tax:
Proximity Isolation Forests. ICPR 2020: 8021-8028 - [c90]Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego:
An Alternative Exploitation of Isolation Forests for Outlier Detection. S+SSPR 2020: 34-44
2010 – 2019
- 2019
- [j38]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): 658-671 (2019) - [j37]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Orienteering-based informative path planning for environmental monitoring. Eng. Appl. Artif. Intell. 77: 46-58 (2019) - [j36]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: 177-184 (2019) - [j35]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) - [j34]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: 231-236 (2019) - [c89]Mauricio Orozco-Alzate, Sisto Baldo, Manuele Bicego:
Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier. ICIAP (1) 2019: 141-151 - [c88]Antonella Mensi, Manuele Bicego:
A Novel Anomaly Score for Isolation Forests. ICIAP (1) 2019: 152-163 - [c87]Manuele Bicego:
K-Random Forests: a K-means style algorithm for Random Forest clustering. IJCNN 2019: 1-8 - [c86]Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier:
Subspace clustering for situation assessment in aquatic drones. SAC 2019: 930-937 - 2018
- [j33]Manuele Bicego, Alessandro Farinelli, Enrico Grosso, D. Paolini, Sarvapali D. Ramchurn:
On the distinctiveness of the electricity load profile. Pattern Recognit. 74: 317-325 (2018) - [j32]Manuele Bicego, Mário A. T. Figueiredo:
Clustering via binary embedding. Pattern Recognit. 83: 52-63 (2018) - [j31]Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli, Riccardo Mengoni:
Biclustering with a quantum annealer. Soft Comput. 22(18): 6247-6260 (2018) - [c85]Manuele Bicego, Pietro Lovato, Marco DeBona, Flavia Guzzo, Michael Assfalg:
Mining NMR Spectroscopy Using Topic Models. ICPR 2018: 3784-3789 - [c84]Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli:
Unsupervised activity recognition for autonomous water drones. SAC 2018: 840-842 - [c83]Antonella Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax:
Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. S+SSPR 2018: 119-129 - 2017
- [j30]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: 170-185 (2017) - [j29]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: 114-124 (2017) - [j28]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo:
Spike and slab biclustering. Pattern Recognit. 72: 186-195 (2017) - [j27]Pietro Lovato, Marco Cristani, Manuele Bicego:
Soft Ngram Representation and Modeling for Protein Remote Homology Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1482-1488 (2017) - [c82]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: 16-21 - [c81]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo:
Dominant Set Biclustering. EMMCVPR 2017: 49-61 - [c80]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: 4270-4279 - [c79]Matteo Denitto, Alessandro Farinelli, Manuele Bicego:
Biclustering of time series data using factor graphs. SAC 2017: 28-30 - [c78]Lorenzo Bottarelli, Jason Blum, Manuele Bicego, Alessandro Farinelli:
Path efficient level set estimation for mobile sensors. SAC 2017: 262-267 - 2016
- [j26]Pietro Lovato, Manuele Bicego, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Alessandro Perina:
Traveling on discrete embeddings of gene expression. Artif. Intell. Medicine 70: 1-11 (2016) - [j25]Manuele Bicego, Pietro Lovato:
A bioinformatics approach to 2D shape classification. Comput. Vis. Image Underst. 145: 59-69 (2016) - [j24]Manuele Bicego, Sisto Baldo:
Properties of the Box-Cox transformation for pattern classification. Neurocomputing 218: 390-400 (2016) - [c77]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Nicola Bombieri, Alessandro Farinelli, Luca Veggian:
Orienteering-based Path Selection for Mobile Sensors. AIRO@AI*IA 2016: 36-40 - [c76]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Skeleton-Based Orienteering for Level Set Estimation. ECAI 2016: 1256-1264 - [c75]Manuele Bicego, Marco Loog:
Weighted K-Nearest Neighbor revisited. ICPR 2016: 1642-1647 - [c74]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: 74-83 - [c73]Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego:
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR 2016: 274-284 - [c72]Andrea Cucci, Pietro Lovato, Manuele Bicego:
Enriched Bag of Words for Protein Remote Homology Detection. S+SSPR 2016: 463-473 - [c71]Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli:
A Quantum Annealing Approach to Biclustering. TPNC 2016: 175-187 - 2015
- [j23]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: 86-95 (2015) - [j22]Pietro Lovato, Alejandro Giorgetti, Manuele Bicego:
A Multimodal Approach for Protein Remote Homology Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 1193-1198 (2015) - [c70]Manuele Bicego, John Makario Londoño-Bonilla, Mauricio Orozco-Alzate:
Volcano-Seismic Events Classification Using Document Classification Strategies. ICIAP (1) 2015: 119-129 - [c69]Matteo Denitto, Alessandro Farinelli, Manuele Bicego:
Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. IJCAI 2015: 925-931 - [c68]Pietro Lovato, Manuele Bicego, Vittorio Murino, Alessandro Perina:
Robust Initialization for Learning Latent Dirichlet Allocation. SIMBAD 2015: 117-132 - 2014
- [j21]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: 49-59 (2014) - [j20]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): 364-374 (2014) - [c67]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: 440-447 - [c66]Manuele Bicego, Stefano Danese, Simone Melzi, Umberto Castellani:
A Bioinformatics Approach to 3D Shape Matching. ECCV Workshops (4) 2014: 313-325 - [c65]Manuele Bicego, F. Recchia, Alessandro Farinelli, Sarvapali D. Ramchurn, Enrico Grosso:
Behavioural Biometrics Using Electricity Load Profiles. ICPR 2014: 1764-1769 - [c64]Alessandro Perina, Maria Kesa, Manuele Bicego:
Expression Microarray Data Classification Using Counting Grids and Fisher Kernel. ICPR 2014: 1770-1775 - [c63]Pietro Lovato, Alessio Milanese, Cesare Centomo, Alejandro Giorgetti, Manuele Bicego:
S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment. ICPR 2014: 2335-2340 - [c62]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: 183-192 - [c61]Matteo Denitto, Alessandro Farinelli, Giuditta Franco, Manuele Bicego:
A Binary Factor Graph Model for Biclustering. S+SSPR 2014: 394-403 - 2013
- [j19]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: 161-169 (2013) - [j18]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): 3400-3409 (2013) - [c60]Alessandro Farinelli, Manuele Bicego, Sarvapali D. Ramchurn, Mauro Zucchelli:
C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. IJCAI 2013: 106-112 - [c59]Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski:
Documents as multiple overlapping windows into grids of counts. NIPS 2013: 10-18 - [c58]Alessandro Perina, Manuele Bicego, Umberto Castellani, Vittorio Murino:
Exploiting Geometry in Counting Grids. SIMBAD 2013: 250-264 - [p3]Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André F. T. Martins, Vittorio Murino, Alessandro Perina, Aydin Ulas:
On the Combination of Information-Theoretic Kernels with Generative Embeddings. Similarity-Based Pattern Analysis and Recognition 2013: 67-83 - [p2]Aydin Ulas, Umberto Castellani, Manuele Bicego, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla:
Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness. Similarity-Based Pattern Analysis and Recognition 2013: 247-287 - 2012
- [j17]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): 3233-3244 (2012) - [j16]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): 1831-1836 (2012) - [c57]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: 45-56 - [c56]Riccardo Avesani, Alessio Azzoni, Manuele Bicego, Mauricio Orozco-Alzate:
Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. CIARP 2012: 640-647 - [c55]Manuele Bicego, Pietro Lovato:
2D shape recognition using biological sequence alignment tools. ICPR 2012: 1359-1362 - [c54]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: 113-122 - [c53]Pietro Lovato, Manuele Bicego:
2D Shapes Classification Using BLAST. SSPR/SPR 2012: 273-281 - [c52]Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina:
Feature Selection Using Counting Grids: Application to Microarray Data. SSPR/SPR 2012: 629-637 - 2011
- [j15]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): 179-192 (2011) - [c51]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: 491-498 - [c50]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: 413-422 - [c49]Fabrizio Smeraldi, Manuele Bicego, Marco Cristani, Vittorio Murino:
CLOOSTING: CLustering Data with bOOSTING. MCS 2011: 289-298 - [c48]Alessandro Farinelli, Matteo Denitto, Manuele Bicego:
Biclustering of Expression Microarray Data Using Affinity Propagation. PRIB 2011: 13-24 - [c47]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: 75-86 - [c46]Alessandro Perina, Pietro Lovato, Marco Cristani, Manuele Bicego:
A Comparison on Score Spaces for Expression Microarray Data Classification. PRIB 2011: 202-213 - [c45]Aydin Ulas, Peter J. Schüffler, Manuele Bicego, Umberto Castellani, Vittorio Murino:
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma. SIMBAD 2011: 77-89 - 2010
- [c44]Anna C. Carli, Umberto Castellani, Manuele Bicego, Vittorio Murino:
Dissimilarity-based representation for local parts. CIP 2010: 299-303 - [c43]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: 2661-2664 - [c42]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: 25-28 - [c41]Anna C. Carli, Manuele Bicego, Sisto Baldo, Vittorio Murino:
Nonlinear Mappings for Generative Kernels on Latent Variable Models. ICPR 2010: 2134-2137 - [c40]Manuele Bicego, Pietro Lovato, Alberto Ferrarini, Massimo Delledonne:
Biclustering of Expression Microarray Data with Topic Models. ICPR 2010: 2728-2731 - [c39]Alessandro Perina, Pietro Lovato, Vittorio Murino, Manuele Bicego:
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray. PRIB 2010: 230-241 - [c38]Manuele Bicego, Pietro Lovato, Barbara Oliboni, Alessandro Perina:
Expression microarray classification using topic models. SAC 2010: 1516-1520 - [c37]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: 463-472 - [i1]Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego, Massimo Tistarelli:
Feature Level Fusion of Face and Fingerprint Biometrics. CoRR abs/1002.2523 (2010)
2000 – 2009
- 2009
- [j14]Gavin Brelstaff, Manuele Bicego, Nicola Culeddu, Matilde Chessa:
Bag of Peaks: interpretation of NMR spectrometry. Bioinform. 25(2): 258-264 (2009) - [j13]Massimo Tistarelli, Manuele Bicego, Enrico Grosso:
Dynamic face recognition: From human to machine vision. Image Vis. Comput. 27(3): 222-232 (2009) - [j12]Manuele Bicego, Mário A. T. Figueiredo:
Soft clustering using weighted one-class support vector machines. Pattern Recognit. 42(1): 27-32 (2009) - [j11]Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
Component-based discriminative classification for hidden Markov models. Pattern Recognit. 42(11): 2637-2648 (2009) - [c36]Marcos Ortega, Linda Brodo, Manuele Bicego, Massimo Tistarelli:
Measuring changes in face appearance through aging. CVPR Workshops 2009: 107-113 - [c35]Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin:
Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR 2009: 466-479 - [c34]Marinella Cadoni, Manuele Bicego, Enrico Grosso:
3D Face Recognition Using Joint Differential Invariants. ICB 2009: 279-288 - [c33]Anna C. Carli, Manuele Bicego, Sisto Baldo, Vittorio Murino:
Non-linear generative embeddings for kernels on latent variable models. ICCV Workshops 2009: 154-161 - [c32]Marcos Ortega, Linda Brodo, Manuele Bicego, Massimo Tistarelli:
On the Quantitative Estimation of Short-Term Aging in Human Faces. ICIAP 2009: 575-584 - [c31]Loris Bazzani, Marco Cristani, Manuele Bicego, Vittorio Murino:
Online subjective feature selection for occlusion management in tracking applications. ICIP 2009: 3617-3620 - [p1]Rama Chellappa, Manuele Bicego, Pavan K. Turaga:
Video-Based Face Recognition Algorithms. Handbook of Remote Biometrics 2009: 193-216 - 2008
- [j10]Manuele Bicego, Enrico Grosso, Andrea Lagorio, Gavin Brelstaff, Linda Brodo, Massimo Tistarelli:
Distinctiveness of faces: A computational approach. ACM Trans. Appl. Percept. 5(2): 11:1-11:18 (2008) - [c30]Manuele Bicego, Daniel González-Jiménez, Enrico Grosso, José Luis Alba-Castro:
Generalized Gaussian distributions for sequential data classification. ICPR 2008: 1-4 - [c29]Manuele Bicego, Enrico Grosso, Edoardo Otranto:
A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends. SSPR/SPR 2008: 852-861 - [c28]Manuele Bicego, Alessandro Trudda:
2D Shape Classification Using Multifractional Brownian Motion. SSPR/SPR 2008: 906-916 - 2007
- [j9]Manuele Bicego, Franco Dellaglio, Giovanna E. Felis:
Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences. J. Bioinform. Comput. Biol. 5(5): 1069-1085 (2007) - [j8]