Manuele Bicego
Orcid: 0000-0002-1008-3917
According to our database1,
Manuele Bicego
authored at least 153 papers
between 2001 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, August, 2024
Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures.
Comput. Biol. Medicine, 2024
An Extension of Random Forest-Clustering Schemes Which Works with Partition-Level Constraints.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
Pattern Recognit., June, 2023
RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model.
IEEE Trans. Knowl. Data Eng., 2023
Pattern Recognit., 2023
Null/No Information Rate (NIR): a statistical test to assess if a classification accuracy is significant for a given problem.
CoRR, 2023
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023
2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022
2021
RF-Isolation: A Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021
2020
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework.
Eng. Appl. Artif. Intell., 2020
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
PowerHC: non linear normalization of distances for advanced nearest neighbor classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
A dissimilarity-based multiple instance learning approach for protein remote homology detection.
Pattern Recognit. Lett., 2019
On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces.
Image Vis. Comput., 2019
Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals.
Ecol. Informatics, 2019
Eng. Appl. Artif. Intell., 2019
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement.
Cybern. Syst., 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Relation, Transition and Comparison Between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
2018
Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Pattern Recognit., 2017
A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees.
Eng. Appl. Artif. Intell., 2017
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods.
Proceedings of the 4th Italian Workshop on Artificial Intelligence and Robotics A workshop of the XVI International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017
2016
Neurocomputing, 2016
Comput. Vis. Image Underst., 2016
Proceedings of the Theory and Practice of Natural Computing - 5th International Conference, 2016
Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Robotics, 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Comput. Geosci., 2015
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
IEEE Trans. Inf. Forensics Secur., 2014
Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images.
Neurocomputing, 2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013
Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings.
IEEE Trans. Geosci. Remote. Sens., 2013
Combining information theoretic kernels with generative embeddings for classification.
Neurocomputing, 2013
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation.
Proceedings of the IJCAI 2013, 2013
2012
Investigating Topic Models' Capabilities in Expression Microarray Data Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
In Silico Deconstruction of ATP-Competitive Inhibitors of Glycogen Synthase Kinase-3β.
J. Chem. Inf. Model., 2012
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012
Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images.
Proceedings of the ICPRAM 2012, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data.
Proceedings of the Computer Vision - ACCV 2012, 2012
2011
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels.
Proceedings of the Pattern Recognition in Bioinformatics, 2011
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011
An Innovative Protocol for Comparing Protein Binding Sites via Atomic Grid Maps.
Proceedings of the KDIR 2011, 2011
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models.
Proceedings of the Structural, 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray.
Proceedings of the Pattern Recognition in Bioinformatics, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Combining free energy score spaces with information theoretic kernels: Application to scene classification.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
Pattern Recognit., 2009
Pattern Recognit., 2009
Online subjective feature selection for occlusion management in tracking applications.
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the Image Analysis and Processing, 2009
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
Proceedings of the Advances in Biometrics, Third International Conference, 2009
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Proceedings of the Handbook of Remote Biometrics, 2009
2008
Proceedings of the Structural, 2008
A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends.
Proceedings of the Structural, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
2007
IEEE Trans. Multim., 2007
Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences.
J. Bioinform. Comput. Biol., 2007
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation.
Proceedings of the Advances in Biometrics, International Conference, 2007
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007
Proceedings of the Advances in Brain, 2007
2006
Comput. Vis. Image Underst., 2006
Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models.
Proceedings of the Advances in Biometrics, International Conference, 2006
Proceedings of the Ninth International Conference on Control, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Pattern Recognit. Lett., 2005
Pattern Anal. Appl., 2005
Proceedings of the Advances in Biometric Person Authentication, 2005
Proceedings of the Image Analysis and Processing, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005
2004
Pattern Recognit., 2004
IEEE Trans. Pattern Anal. Mach. Intell., 2004
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Computer Vision, 2004
2003
A sequential pruning strategy for the selection of the number of states in hidden Markov models.
Pattern Recognit. Lett., 2003
Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, 2003
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003
Proceedings of the Advanced Studies in Biometrics, Summer School on Biometrics, 2003
2002
Proceedings of the Structural, 2002
2001
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001