Manuele Bicego

Orcid: 0000-0002-1008-3917

According to our database1, Manuele Bicego authored at least 153 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Computing Random Forest-distances in the presence of missing data.
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
Detecting outliers from pairwise proximities: Proximity isolation forests.
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

DisRFC: a dissimilarity-based Random Forest Clustering approach.
Pattern Recognit., 2023

Also for k-means: more data does not imply better performance.
Mach. Learn., 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

Active Class Selection for Dataset Acquisition in Sign Language Recognition.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
Distance-Based Random Forest Clustering with Missing Data.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Using Random Forest Distances for Outlier Detection.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
Enhanced anomaly scores for isolation forests.
Pattern Recognit., 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
Biclustering with dominant sets.
Pattern Recognit., 2020

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework.
Eng. Appl. Artif. Intell., 2020

An Alternative Exploitation of Isolation Forests for Outlier Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

A cheaper Rectified-Nearest-Feature-Line-Segment classifier based on safe points.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Proximity Isolation Forests.
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

On learning Random Forests for Random Forest-clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Dissimilarity Random Forest Clustering.
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

Orienteering-based informative path planning for environmental monitoring.
Eng. Appl. Artif. Intell., 2019

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement.
Cybern. Syst., 2019

Subspace clustering for situation assessment in aquatic drones.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

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

A Novel Anomaly Score for Isolation Forests.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018
Biclustering with a quantum annealer.
Soft Comput., 2018

On the distinctiveness of the electricity load profile.
Pattern Recognit., 2018

Clustering via binary embedding.
Pattern Recognit., 2018

Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Unsupervised activity recognition for autonomous water drones.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Mining NMR Spectroscopy Using Topic Models.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Soft Ngram Representation and Modeling for Protein Remote Homology Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

A biclustering approach based on factor graphs and the max-sum algorithm.
Pattern Recognit., 2017

Spike and slab biclustering.
Pattern Recognit., 2017

A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees.
Eng. Appl. Artif. Intell., 2017

Biclustering of time series data using factor graphs.
Proceedings of the Symposium on Applied Computing, 2017

Path efficient level set estimation for mobile sensors.
Proceedings of the Symposium on Applied Computing, 2017

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dominant Set Biclustering.
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
Properties of the Box-Cox transformation for pattern classification.
Neurocomputing, 2016

A bioinformatics approach to 2D shape classification.
Comput. Vis. Image Underst., 2016

Traveling on discrete embeddings of gene expression.
Artif. Intell. Medicine, 2016

A Quantum Annealing Approach to Biclustering.
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

Multiple Structure Recovery via Probabilistic Biclustering.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Enriched Bag of Words for Protein Remote Homology Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Weighted K-Nearest Neighbor revisited.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Skeleton-Based Orienteering for Level Set Estimation.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Orienteering-based Path Selection for Mobile Sensors.
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Robotics, 2016

2015
A Multimodal Approach for Protein Remote Homology Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

The DTW-based representation space for seismic pattern classification.
Comput. Geosci., 2015

Robust Initialization for Learning Latent Dirichlet Allocation.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Volcano-Seismic Events Classification Using Document Classification Strategies.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are.
IEEE Trans. Inf. Forensics Secur., 2014

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images.
Neurocomputing, 2014

Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

A Binary Factor Graph Model for Biclustering.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Expression Microarray Data Classification Using Counting Grids and Fisher Kernel.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Behavioural Biometrics Using Electricity Load Profiles.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Bioinformatics Approach to 3D Shape Matching.
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
Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

On the Combination of Information-Theoretic Kernels with Generative Embeddings.
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

Exploiting Geometry in Counting Grids.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Documents as multiple overlapping windows into grids of counts.
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

Feature Selection Using Counting Grids: Application to Microarray Data.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2D Shapes Classification Using BLAST.
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

2D shape recognition using biological sequence alignment tools.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces.
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
Dissimilarity-based detection of schizophrenia.
Int. J. Imaging Syst. Technol., 2011

Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

A Comparison on Score Spaces for Expression Microarray Data Classification.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

Biclustering of Expression Microarray Data Using Affinity Propagation.
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

CLOOSTING: CLustering Data with bOOSTING.
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

Multimodal Schizophrenia Detection by Multiclassification Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Feature Level Fusion of Face and Fingerprint Biometrics
CoRR, 2010

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models.
Proceedings of the Structural, 2010

Expression microarray classification using topic models.
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

Nonlinear Mappings for Generative Kernels on Latent Variable Models.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2D Shape Recognition Using Information Theoretic Kernels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Biclustering of Expression Microarray Data with Topic Models.
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

Dissimilarity-based representation for local parts.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Component-based discriminative classification for hidden Markov models.
Pattern Recognit., 2009

Soft clustering using weighted one-class support vector machines.
Pattern Recognit., 2009

Dynamic face recognition: From human to machine vision.
Image Vis. Comput., 2009

Bag of Peaks: interpretation of NMR spectrometry.
Bioinform., 2009

Online subjective feature selection for occlusion management in tracking applications.
Proceedings of the International Conference on Image Processing, 2009

On the Quantitative Estimation of Short-Term Aging in Human Faces.
Proceedings of the Image Analysis and Processing, 2009

Non-linear generative embeddings for kernels on latent variable models.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

3D Face Recognition Using Joint Differential Invariants.
Proceedings of the Advances in Biometrics, Third International Conference, 2009

Clustering-Based Construction of Hidden Markov Models for Generative Kernels.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Measuring changes in face appearance through aging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Video-Based Face Recognition Algorithms.
Proceedings of the Handbook of Remote Biometrics, 2009

2008
Distinctiveness of faces: A computational approach.
ACM Trans. Appl. Percept., 2008

2D Shape Classification Using Multifractional Brownian Motion.
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

Generalized Gaussian distributions for sequential data classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Audio-Visual Event Recognition in Surveillance Video Sequences.
IEEE Trans. Multim., 2007

Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences.
J. Bioinform. Comput. Biol., 2007

Group-Induced Vector Spaces.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Generalization in Holistic versus Analytic Processing of Faces.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Sparseness Achievement in Hidden Markov Models.
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

Hidden Markov model-based face recognition using selective attention.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

Recognition of Human Faces: From Biological to Artificial Vision.
Proceedings of the Advances in Brain, 2007

2006
Similarity-based pattern recognition.
Pattern Recognit., 2006

Unsupervised scene analysis: A hidden Markov model approach.
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

Recognizing People's Faces: from Human to Machine Vision.
Proceedings of the Ninth International Conference on Control, 2006

Audio-Visual Foreground Extraction for Event Characterization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

On the Use of SIFT Features for Face Authentication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
A Hidden Markov Model approach for appearance-based 3D object recognition.
Pattern Recognit. Lett., 2005

A supervised data-driven approach for microarray spot quality classification.
Pattern Anal. Appl., 2005

Face Authentication Using One-Class Support Vector Machines.
Proceedings of the Advances in Biometric Person Authentication, 2005

Automatic Updating of Urban Vector Maps.
Proceedings of the Image Analysis and Processing, 2005

Measuring differences between faces.
Proceedings of the 13th European Signal Processing Conference, 2005

On Finding Differences Between Faces.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

2004
Similarity-based classification of sequences using hidden Markov models.
Pattern Recognit., 2004

Investigating Hidden Markov Models' Capabilities in 2D Shape Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Statistical Classification of Raw Textile Defects.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

On-Line Adaptive Background Modelling for Audio Surveillance.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Audio-Video Integration for Background Modelling.
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

Face recognition with Multilevel B-Splines and Support Vector Machines.
Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, 2003

Similarity-Based Clustering of Sequences Using Hidden Markov Models.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Automatic road extraction from aerial images by probabilistic contour tracking.
Proceedings of the 2003 International Conference on Image Processing, 2003

Using hidden Markov models and wavelets for face recognition.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Watershed-Based Unsupervised Clustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

3D Face Recognition Using Stereoscopic Vision.
Proceedings of the Advanced Studies in Biometrics, Summer School on Biometrics, 2003

2002
A Hidden Markov Model-Based Approach to Sequential Data Clustering.
Proceedings of the Structural, 2002

2001
2D Shape Recognition by Hidden Markov Models.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

Designing the Minimal Structure of Hidden Markov Model by Bisimulation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001


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