Publications
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P: Patents
J: Papers in International Journals
B: Books / Chapters in Books
C: Papers in International Conference Proceedings / Edited Books
O: Technical Reports / Posters / Others
Patents
[P1] M. Baltatu, R. D'Alessandro, R. D'Amico, M. Tistarelli, E. Grosso, M. Bicego: "Automatic biometric identification based on face recognition and support vector machines" (WO2007016936A1), European Patent: EP1910977A1 (2008), EP1910977B1 (2016), South Korea Patent: KR20080033486A (2008), KR101185525B1 (2012), US Patent: US2009074259A1 (2009), US8275175B2 (2012)Papers in International Journals
[J56] M. Loog, J.H. Krijthe, M. Bicego: "Also for k-Means: More Data Does Not Mean Better Performance", Machine Learning (ECML-PKDD 2023 Journal track), accepted, (2023) [J55] M. Zoncapè, M. Carlin, M. Bicego, A. Simonetti, V. Ceruti, A. Mantovani, F. Inglese, G. Zamboni, A. Sartorio, P, Minuz, S. Romano, E. Crisafulli, D. Sacerdoti, C. Fava, A. Dalbeni: "Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application." Internal and Emergency Medicine, in press, (2023) [J54] A. Mensi, D.M.J. Tax, M. Bicego: "Detecting outliers from pairwise proximities: Proximity isolation forests", Pattern Recognition, Volume 138: 109334, (2023) pdf Matlab Code available [J53] M. Bicego: "DisRFC: a dissimilarity-based Random Forest Clustering approach", Pattern Recognition, Volume 133: 109036, (2023) pdf Matlab Code available [J52] M. Bicego, A. Rossetto, M. Olivieri, J.M. Londono-Bonilla, M. Orozco-Alzate: "Advanced KNN approaches for explainable seismic-volcanic signal classification", Mathematical Geosciences, volume 55, pages 59--80, (2023) pdf [J51] M. Bicego, F. Cicalese, A. Mensi: "RatioRF: a novel measure for Random Forest clustering based on the Tversky's Ratio model", IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 1, pp. 830--841, (2023) preprint Matlab Code available [J50] S. Schiavi, A. Azzari, A. Mensi, N. Graziano, A. Daducci, M. Bicego, M. Inglese, M. Petracca: "Classification of multiple sclerosis patients based on structural disconnection: A robust feature selection approach", Journal of Neuroimaging, vol. 32(4), pp. 647--655, (2022) link [J49] A. Mensi, M. Bicego: "Enhanced anomaly scores for isolation forests", Pattern Recognition, vol 120, pp. 108115 (2021) pdf [J48] C. Lega, M. Pirruccio, M. Bicego, L. Parmigiani, L. Chelazzi and L. Cattaneo: "The topography of visually-guided grasping in the premotor cortex: a dense-transcranial magnetic stimulation (TMS) mapping study", Journal of Neuroscience, vol. 40(35), pp. 6790-6800 (2020) [J47] M. Denitto, M. Bicego, A. Farinelli, S. Vascon, M. Pelillo: "Biclustering with Dominant Sets", Pattern Recognition, vol 104, pp. 107318, (2020) pdf Matlab Code available [J46] A. Castellini, M. Bicego, F. Masillo, M. Zuccotto, A. Farinelli: "Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework", Engineering Applications of Artificial Intelligence, vol. 90, pp. 103499, (2020), pdf [J45] A. Castellini, M. Bicego, D. Bloisi, J. Blum, F. Masillo, S. Peignier, A. Farinelli: "Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement", Cybernetics and Systems, vol. 50(8), pp. 658-671, (2019) pdf [J44] M. Bicego, E. Grosso: "On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces", Image and Vision Computing, vol. 92, pp. 103813, (2019) pdf [J43] A. Mensi, M. Bicego, P. Lovato, M. Loog, D.M.J. Tax: "A dissimilarity-based Multiple Instance Learning approach for Protein Remote Homology Detection", Pattern Recognition Letters, vol. 128, pp. 231--236 (2019) pdf [J42] M. Orozco-Alzate, J.M. Londono-Bonilla, V. Nale, M. Bicego: "Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals", Ecological Informatics, vol. 51, pp. 177--184 (2019) pdf [J41] L. Bottarelli, M. Bicego, J. Blum, A. Farinelli: "Orienteering-based informative path planning for environmental monitoring", Engineering Applications of Artificial Intelligence, vol. 77, pp. 46--58 (2019) pdf [J40] M. Bicego, M.A.T. Figueiredo: "Clustering via binary embedding", Pattern Recognition, vol. 83, pp. 52-63, (2018) pdf [J39] L. Bottarelli, M. Bicego, M. Denitto, A. Di Pierro, A. Farinelli, R. Mengoni: "Biclustering with a quantum annealer", Soft Computing, vol. 22(18), pp. 52-63, (2018) pdf [J38] M. Bicego, A. Farinelli, E. Grosso, D. Paolini, S.D. Ramchurn: "On the distinctiveness of the electricity load profile", Pattern Recognition, vol. 74, pp. 317-325, (2018) pdf [J37] M. Denitto, M. Bicego, A. Farinelli, M.A.T. Figueiredo: "Spike and Slab Biclustering", Pattern Recognition, vol 72, pp. 186--195, (2017) pdf Matlab Code available [J36] A. Farinelli, M. Bicego, F. Bistaffa, S.D. Ramchurn: "A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees", Engineering Applications of Artificial Intelligence, vol. 59, pp. 170-185, (2017) pdf [J35] M. Denitto, A. Farinelli, M.A.T. Figueiredo, M. Bicego: "A Biclustering Approach Based on Factor Graphs and The Max-Sum Algorithm", Pattern Recognition, vol. 62, pp. 114-124, (2017) paper supplementaryMaterial [J34] P. Lovato, M. Cristani, M. Bicego: "Soft Ngram representation and modeling for protein remote homology detection", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14(6), pp. 1482-1488, (2017) pdf Matlab Code available, Dataset available [J33] M. Bicego, S. Baldo: "Properties of the Box-Cox Transformation for Pattern Classification", Neurocomputing, vol. 218, pp. 390-400, (2016) pdf [J32] P. Lovato, M. Bicego, M. Kesa, N. Jojic, V. Murino, A. Perina: "Traveling on discrete embeddings of gene expression", Artificial Intelligence in Medicine, vol. 70, pp. 1-11, (2016) pdf Matlab Code available [J31] M. Bicego, P. Lovato: "A bioinformatics approach to 2D shape classification", Computer Vision and Image Understanding, vol. 145, pp. 59-69, (2016) pdf [J30] M. Orozco-Alzate, P.A. Castro-Cabrera, M. Bicego, J.M. Londono-Bonilla: "The DTW-based representation space for seismic pattern classification", Computers and Geosciences, special issue on "Statistical Learning in geoscience modelling: novel algorithms and challenging case studies", Vol. 85, Part B, pp. 86-95, (2015) pdf [J29] P. Lovato, A. Giorgetti, M. Bicego: "A multimodal approach for protein remote homology detection", IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 12(5), pp. 1193-1198, (2015) pdf Matlab Code available [J28] P. Lovato, M. Bicego, C. Segalin, A. Perina, N. Sebe, M. Cristani: "Faved!" biometrics: tell me which image you like and I'll tell you who you are", IEEE Transactions on Information Forensics & Security, vol. 9(3), pp. 364-374, (2014) pdf [J27] A. Carli, M.A.T. Figueiredo, M. Bicego, V. Murino: "Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images", Neurocomputing, vol. 123, pp. 49-59, (2014) pdf [J26] M. Bicego, C. Acosta-Munoz and M. Orozco-Alzate: "Classification of Seismic Volcanic Signals Using Hidden Markov Models-based Generative Embeddings", IEEE Trans. on Geoscience and Remote Sensing, vol. 51(6-1), pp. 3400-3409 (2013) pdf [J25] M. Bicego, A. Ulas, U. Castellani, A. Perina, V. Murino, A.F.T. Martins, P.M.Q. Aguiar, M.A.T. Figueiredo: "Combining Information Theoretic Kernels with Generative Embeddings for Classification", Neurocomputing, vol. 101, pp. 161-169, (2013) pdf [J24] P. Bisignano, C. Lambruschini, M. Bicego, V. Murino, A. Favia, A. Cavalli: "In silico deconstruction of ATP-competitive inhibitors of glycogen synthase kinase-3β", Journal of Chemical Information and Modeling, vol. 52(12), pp. 3233-44, (2012) [J23] M. Bicego, P. Lovato, A. Perina, M. Fasoli, M. Delledonne, M. Pezzotti, A. Polverari, V. Murino: "Investigating topic models' capabilities in expression microarray data classification", IEEE/ACM Trans. on Computational Biology and Bioinformatics, vol. 9(6), pp. 1831-1836, (2012) pdf Matlab Code available [J22] M. Fasoli, S. Dal Santo, S. Zenoni, G.B. Tornielli, L. Farina, A. Zamboni, A. Porceddu, L. Venturini, M. Bicego, V. Murino, A. Ferrarini, M. Delledonne, M. Pezzotti: "The grapevine expression atlas reveals a deep transcriptome shift driving the entire plant into a maturation program", Plant Cell, vol. 24(9) pp. 3489-505, (2012) [J21] B. Torre, M. Lorenzoni, M. Bicego, M. Cristani, V. Murino and A. Diaspro: "Principal Component Analysis In Dynamic Force Spectroscopy", Imaging & Microscopy, vol. 13(4), pp. 26-28, (2011) [J20] A. Ulas, R. Duin, U. Castellani, M. Loog, M. Bicego, V. Murino, M. Bellani, S. Cerruti, M. Tansella, P. Brambilla: "Dissimilarity-based Detection of Schizophrenia", Int. J. of Imaging Systems and Technology, vol. 21(2), pp. 179-192, (2011) pdf [J19] B. Torre, M. Bicego, M. Cristani, V. Murino, A. Diaspro, R. Cingolani:"Combination of atomic force microscopy and principal component analysis as a general method for direct recognition of functional and structural domains in nanonocomposite materials (p NA)", Microscopy Research and Technique, vol. 73(10), pp. 973-981, (2010) pdf [J18] M. Bicego, E. Grosso, E. Otranto: "Analyzing the sign of financial local trends via Hidden Markov Models", Medium for Econometric Applications, vol. 16(4), pp. 16-22, (2009) pdf [J17] M. Bicego, E. Pekalska, D.M.J. Tax, R.P.W. Duin, "Component-based discriminative classification for Hidden Markov Models", Pattern Recognition, 42(11): 2637-2648 (2009) pdf [J16] G. Brelstaff, M. Bicego, N. Culeddu, M. Chessa: "Bag of Peaks: interpretation of NMR spectrometry", Bioinformatics, vol. 25, pp 258-264, (2009) pdf Matlab Code available [J15] M. Bicego, M.A.T. Figueiredo: "Soft Clustering using Weighted One Class Support Vector Machines", Pattern Recognition, vol. 42(1), pp. 27-32, (2009) pdf Matlab Code available [J14] M. Tistarelli, M. Bicego, E. Grosso: "Dynamic face recognition: from Human to Machine Vision", Image and Vision Computing, vol. 27(3), pp. 222-232, (2009) pdf [J13] M. Bicego, E. Grosso, A. Lagorio, G. Brelstaff, L. Brodo, M. Tistarelli: "Distinctiveness of faces: a computational approach", ACM Trans. on Applied Perception, vol. 5(2), Article No. 11, (2008) pdf [J12] M. Bicego, F. Dellaglio, G.E. Felis: "Multimodal Phylogeny for Taxonomy: integrating information from nucleotide and aminoacid sequences", Journal of Bioinformatics and Computational Biology, vol 5(5), pp. 1069-1085, (2007) pdf [J11] M. Cristani, M. Bicego, V. Murino: "Audio-Visual Event Recognition in Surveillance Video Sequences", IEEE Trans. on Multimedia, vol 9(2), pp. 257-267, (2007) pdf [J10] G.J. Brelstaff, L. Brodo, M. Bicego, E. Grosso: "Face-pair scrutiny - subject-type classification", Perception (ECVP 2006), vol 35 sup, p. 209, (2006) html [J9] M. Bicego, V. Murino, M. Pelillo, A. Torsello: "Similarity-based Pattern Recognition", editorial message of the special issue on "Similarity-based Pattern Recognition", Pattern Recognition, vol 39(10), pp. 1813-1814, (2006) pdf [J8] M. Bicego, M. Cristani, V. Murino: "Unsupervised Scene Analysis: a Hidden Markov Model approach". Computer Vision and Image Understanding, vol 102, pp. 22-41, (2006) pdf [J7] M. Bicego, U. Castellani, V. Murino: "A Hidden Markov Model approach for appearance-based 3D object recognition". Pattern Recognition Letters, vol 26(16), pp. 2588-2599, (2005) pdf [J6] M. Bicego, M. Del Rosario Martinez, V. Murino: "A supervised data-driven approach for microarray spot quality classification". Pattern Analysis and Applications, vol 8, pp. 181--187, (2005) pdf [J5] M. Bicego: "Odor classification using similarity-based representation". Sensors and Actuators B, vol 110(2), pp. 225--230, (2005). pdf [J4] M. Bicego, V. Murino, M.A.T. Figueiredo: "Similarity-based classification of sequences using Hidden Markov Models". Pattern Recognition, vol 37(12), pp. 2281-2291, (2004). pdf [J3] M. Bicego, V. Murino: "Investigating Hidden Markov Models' capabilities in 2D shape classification". IEEE Trans. on Pattern Analysis and Machine Intelligence - PAMI , vol 26(2), pp. 281-286, (2004). pdf [J2] M. Bicego, V. Murino, M.A.T. Figueiredo: "A sequential pruning strategy for the selection of the number of states in Hidden Markov Models". Pattern Recognition Letters , vol. 24(9-10), pp. 1395-1407, (2003). pdf Matlab Code available [J1] M. Bicego, G. Tessari, G. Tecchiolli, M. Bettinelli: "A comparative analysis of basic Pattern Recognition techniques for the development of small size electronic nose". Sensors and Actuators B, vol. 85(1-2), pp. 137-144, (2002). pdfBooks / Chapters in Books
[B6] P.M.Q. Aguiar, M. Bicego, U. Castellani, M.A.T. Figueiredo, A.T. Martins, V. Murino, A. Perina, and A. Ulas: "On the Combination of Information Theoretic Kernels with Generative Embeddings", chapter in Similarity-Based Pattern Analysis and Recognition, M. Pelillo Ed, Springer, (2013) [B5] A. Ulas, U. Castellani, M. Bicego, V. Murino, M. Bellani, M. Tansella, P. Brambilla: "Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness", chapter in Similarity-Based Pattern Analysis and Recognition, M. Pelillo Ed, Springer, (2013) [B4] R. Chellappa, M. Bicego, P. Turaga: "A review of video-based Face Recognition Algorithms", chapter in Handbook of Remote Biometrics for Surveillance and Security, M. Tistarelli, S.Z. Li, R. Chellappa Eds, Springer, (2009) [B3] M. Tistarelli, M. Bicego, J.L. Alba-Castro, D. Gonzalez-Jimenez, A.A. Salah, A. Mellakh, D. Petrovska-Delacretaz, B. Dorizzi: "2D face recognition", chapter in Guide to Biometric Reference Systems and Performance Evaluation, D. Petrovska-Delacretaz, G. Chollet and B. Dorizzi Eds, Springer, (2009) [B2] E. Grosso, M. Bicego: "Fondamenti di Informatica per l'Universita'", Giappichelli Editore, Torino, (2007) (in italian) [B1] M. Bicego: "Hidden Markov Models for Pattern Recognition and Computer Vision: methodological issues and applications", PhD Thesis - DI - University of Verona, series TD-01-03, (2003) pdfPapers in International Conference Proceedings / Edited Books
[C113] M. Bicego, F. Cicalese: "On the good behaviour of Extremely Randomized Trees in Random Forest-distance computation", Proc. Europ. Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD2023), accepted, (2023) [C112] M. Bicego, M. Vazquez-Enriquez, J.L. Alba-Castro: "Active Class Selection for Dataset Acquisition in Sign Language Recognition", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2023), accepted, (2023) [C111] M. Bicego, E.-J. Villegas-Jaramillo, M. Orozco-Alzate: "A novel Kernel Extension for the Nearest Feature Line Classifier", Proc. Int. Conf. on Pattern Recognition Systems (ICPRS2023), accepted, (2023) [C110] M. Raniero, M. Bicego, F. Cicalese: "Distance-Based Random Forest Clustering with Missing Data", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2021), vol. 3, pp. 121-132, (2022) pdf [C109] A. Mensi, F. Cicalese, M. Bicego: "Using Random Forest Distances for Outlier Detection", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2021), vol. 3, pp. 75-86, (2022) pdf [C108] A. Mensi, S. Schiavi, M. Petracca, N. Graziano, A. Daducci, M. Inglese, M Bicego: "RF-Isolation: a Novel Representation of Structural Connectivity Networks for Multiple Sclerosis Classification", Proc. Int. Conf. on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB2021), (2021) pdf [C107] A. Mensi, A. Franzoni, D.M.J. Tax, M. Bicego: "An Alternative Exploitation of Isolation Forests for Outlier Detection", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2020), pp 34--44, (2020) pdf [C106] M. Bicego: "Dissimilarity Random Forest Clustering", Proc. Int. Conf. on Data Mining (ICDM2020), pp. 936--941, (2020) pdf Matlab Code available [C105] M. Bicego, F. Escolano: "On Learning Random Forests for Random Forest Clustering", Proc. Int. Conf. on Pattern Recognition (ICPR2020), pp. 3451--3458, (2020) pdf [C104] A. Mensi, M. Bicego, D. Tax: "Proximity Isolation Forests", Proc. Int. Conf. on Pattern Recognition (ICPR2020), pp. 8021--8028, (2020) pdf [C103] M. Orozco-Alzate, M. Bicego: "A Cheaper Rectified-Nearest-Feature-Line-Segment Classifier Based on Safe Points", Proc. Int. Conf. on Pattern Recognition (ICPR2020), pp. 2787--2794, (2020) pdf [C102] M. Bicego, M. Orozco-Alzate: "PowerHC: non linear normalization of distances for advanced nearest neighbor classification", Proc. Int. Conf. on Pattern Recognition (ICPR2020), pp. 1205--1211, (2020) pdf [C101] M. Orozco-Alzate, S. Baldo, M. Bicego: "Relation, Transition and Comparison between the Adaptive Nearest Neighbor Rule and the Hypersphere Classifier", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2019), LNCS 11751, pp. 141-151 (2019) pdf [C100] M. Bicego: "K-Random Forests: a K-means style algorithm for Random Forest clustering", Proc. Int. Joint Conf. on Neural Networks (IJCNN2019), pp. 1-8, (2019) pdf [C99] A. Mensi, M. Bicego: "A Novel Anomaly Score for Isolation Forests", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2019), LNCS 11751, pp. 152-163, (2019) pdf [C98] A. Castellini, F. Masillo, M. Bicego, D. Bloisi, J.J. Blum, A. Farinelli, S. Peigner: "Subspace clustering for situation assessment in aquatic drones", Proc. ACM Symposium on Applied Computing (SAC2019), pp. 930-937, (2019) pdf [C97] A. Mensi, M. Bicego, P. Lovato, M. Loog, D.M.J. Tax: "Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning". Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2018), Lecture Notes in Computer Science n. 11004, pp. 119--129, (2018) pdf Dataset available [C96] M. Bicego, P. Lovato, M. De Bona, F. Guzzo, M. Assfalg: "Mining NMR spectroscopy using Topic Models", Proc. Int. Conf. on Pattern Recognition (ICPR2018), pp. 3784--3789, (2018) pdf [C95] A. Castellini, G.A. Beltrame, M. Bicego, J.J. Blum, M. Denitto, A. Farinelli: "Unsupervised Activity Recognition for Autonomous Water Drones", Proc. ACM Symposium on Applied Computing (SAC2018), pp. 840-842, (2018) pdf [C94] A. Castellini, G.A. Beltrame, M. Bicego, D. Bloisi, J.J. Blum, M. Denitto, A. Farinelli: "Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods", Proc. AIRO@AI*IA, pp. 16-21, (2017) [C93] M. Denitto, M. Bicego, A. Farinelli, M. Pelillo: "Dominant Set Biclustering", Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2017), LNCS 10746, pp. 49–61, (2017) pdf Matlab Code available [C92] M. Denitto, S. Melzi, M. Bicego, U. Castellani, A. Farinelli, M.A.T. Figueiredo, Y. Kleiman, M. Ovsjanikov: "Region-based Correspondence Between 3D Shapes via Spatially Smooth Biclustering", Proc. Int. Conf. on Computer Vision (ICCV2017), pp. 4270-4279, (2017) pdf Matlab Code available [C91] M. Denitto, A. Farinelli, M. Bicego: "Biclustering of Time Series Data using Factor Graphs", Proc. ACM Symposium on Applied Computing (SAC2017), pp. 28-30, (2017) pdf [C90] L. Bottarelli, J. Blum, M. Bicego, A. Farinelli: "Path Efficient Level Set Estimation for Mobile Sensors", Proc. ACM Symposium on Applied Computing (SAC2017), pp. 262-267, (2017) pdf [C89] L. Bottarelli, M. Bicego, J. Blum, N. Bombieri, A. Farinelli, L. Veggian: "Orienteering-based Path Selection for Mobile Sensors". Proc. AIRO@AI*IA, pp. 36-40, (2016) [C88] A. Cucci, P. Lovato, M. Bicego: "Enriched Bag of Words for Protein Remote Homology Detection", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2016), Lecture Notes in Computer Science n. 10029, pp. 463-473, (2016) pdf [C87] M. Orozco-Alzate, R.P.W. Duin, M. Bicego: "Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2016), Lecture Notes in Computer Science n. 10029, pp. 74-83, (2016) pdf [C86] M. Denitto, L. Magri, A. Farinelli, A. Fusiello, M. Bicego: "Multiple Structure Recovery via Probabilistic Biclustering", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2016), Lecture Notes in Computer Science n. 10029, pp. 274-284, (2016) pdf [C85] L. Bottarelli, M. Bicego, M. Denitto, A. Di Pierro, A. Farinelli: "A Quantum Annealing Approach to Biclustering", Proc. Int. Conf. on the Theory and Practice of Natural Computing (TPNC 2016), Lecture Notes in Computer Science n. 10071, pp. 175–187, (2016), pdf [C84] M. Bicego, M. Loog: "Weighted K-Nearest Neighbor Revisited", Proc. Int. Conf. on Pattern Recognition (ICPR2016), (2016) pdf [C83] L. Bottarelli, M. Bicego, J. Blum, A. Farinelli: "Skeleton-Based Orienteering for Level Set Estimation", Proc. European Conf. on Artificial Intelligence (ECAI2016), pp. 1256-1264, (2016) pdf [C82] M. Bicego, J.M. Londono-Bonilla, M. Orozco-Alzate: "Volcano-seismic events classification using document classification strategies", Proc. of Int. Conf. on Image Analysis and Processing (ICIAP2015), vol. 1, pp. 119-129, (2015) pdf [C81] P. Lovato, M. Bicego, V. Murino, A. Perina: "Robust initialization for learning Latent Dirichlet Allocation", Proc. Int. Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD2015), pp. 117-132, (2015) pdf [C80] M. Denitto, A. Farinelli, M. Bicego: "Biclustering Gene Expressions Using Factor Graphs and The Max-Sum Algorithm", Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI2015), pp. 925-931, (2015) pdf [C79] M. Bicego, S. Danese, S. Melzi, U. Castellani: "A bioinformatics approach to 3D shape matching", Proc. of ECCV2014 Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA2014), 313-325, (2014) pdf [C78] P.A. Castro-Cabrera, M. Orozco-Alzate, A. Adami, M. Bicego, J.M. Londono-Bonilla, G. Castellanos-Domínguez: "A Comparison Between Time-frequency and Cepstral Feature Representations for Seismic-volcanic Pattern Classification", Proc. of. 19th Iberoamerican Congress on Pattern Recognition (CIARP2014), 440-447, (2014) pdf [C77] R.P.W. Duin, M. Bicego, M. Orozco-Alzate, S.-W. Kim, M. Loog: "Metric learning in dissimilarity space for improved nearest neighbor performance", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2014), 183-192, (2014) pdf [C76] M. Denitto, A. Farinelli, G. Franco, and M. Bicego: "A binary Factor Graph model for biclustering", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (S+SSPR2014), 394-403, (2014) pdf [C75] M. Bicego, F. Recchia, A. Farinelli, S.D. Ramchurn, E. Grosso: "Behavioural biometrics using electricity load profiles", Proc. Int. Conf on Pattern Recognition (ICPR2014), 1764-1769, (2014) pdf [C74] P. Lovato, A. Milanese, C. Centomo, A. Giorgetti, M. Bicego: "S-BLOSUM: classification of 2D shapes with biological sequence alignment", Proc. Int. Conf on Pattern Recognition (ICPR2014), 2335-2340, (2014) pdf [C73] A. Perina, M. Kesa, M. Bicego: "Expression Microarray data classification using Counting Grids and Fisher Kernel", Proc. Int. Conf on Pattern Recognition (ICPR2014), 1770-1775, (2014) pdf [C72] A. Perina, N. Jojic, M. Bicego, A. Truski: "Documents as multiple overlapping windows into grids of counts", Proc. Advances in Neural Information Processing Systems (NIPS2013), (2013) pdf Matlab Code available [C71] A. Farinelli, M. Bicego, S.D. Ramchurn, M. Zucchelli: "C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation", Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI2013), (2013) pdf Matlab Code available [C70] A. Perina, M. Bicego, U. Castellani, V. Murino: "Exploiting Geometry in Counting Grids", Proc. Int. Workshop on Similarity Based Pattern Recognition (SIMBAD2013), (2013) pdf [C69] P. Lovato, A. Perina, N. Sebe, O. Zandonà, A. Montagnini, M. Bicego, M. Cristani: "Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data", Proc. of 11th Asian Conference on Computer Vision (ACCV 2012), (2012) pdf [C68] P. Lovato, M. Bicego: "2D shapes classification using BLAST", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (SPR2012), (2012) pdf [C67] P. Lovato, M. Bicego, M. Cristani, N. Jojic, A. Perina: "Feature selection using Counting Grids: application to microarray data", Proc. Int. Workshop on Statistical Techniques in Pattern Recognition (SPR2012), (2012) pdf [C66] M. Bicego, P. Lovato: "2D shape recognition using biological sequence alignment tools", Proc. Int. Conf. on Pattern Recognition (ICPR2012), (2012) pdf [C65] R. Avesani, A. Azzoni, M. Bicego, M. Orozco-Alzate: "Automatic Classification of Volcanic Earthquakes in HMM-induced Vector Spaces", Proc. of. 17th Iberoamerican Congress on Pattern Recognition (CIARP2012), (2012) pdf [C64] A. Carli, M. Figueiredo, M. Bicego, V. Murino, "Generative Embeddings Based on Rician Mixtures: Application to Kernel-Based Discriminative Classification of Magnetic Resonance Images", Proc. of 1st Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM2012), (2012) pdf [C63] B. Torre, M. Bicego, M. Cristani, V. Murino, A. Diaspro, R. Cingolani: "Principal Component Analysis in Dynamic Force Spectroscopy: an easy method to extract compositional information in textured sample", 3rd Multifrequency AFM Conference, (2011) [C62] M. Bicego, A. Ulas, P. Schuffler, U. Castellani, V. Murino, A. Martins, P. Aguiar, M. Figueiredo: "Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels", Proc. of Int. Conf. on Pattern Recognition in Bioinformatics (PRIB2011), (2011) pdf [C61] A. Perina, P. Lovato, M. Cristani, M. Bicego: "A comparison on score spaces for expression microarray data classification", Proc. of Int. Conf. on Pattern Recognition in Bioinformatics (PRIB2011), (2011) pdf [C60] A. Farinelli, M. Denitto, M. Bicego: "Biclustering of expression microarray data using Affinity Propagation", Proc. of Int. Conf. on Pattern Recognition in Bioinformatics (PRIB2011), (2011) pdf [C59] A. Ulas, U. Castellani, P. Mirtuono, M. Bicego, V. Murino, S. Cerruti, M. Bellani, M. Atzori, G. Rambaldelli, M. Tansella, P. Brambilla: "Multimodal Schizophrenia Detection by Multiclassification Analysis", Proc. of. 16th Iberoamerican Congress on Pattern Recognition (CIARP2011), (2011) pdf [C58] A. Ulas, P. Schuffler, M. Bicego, U. Castellani, V. Murino: "Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma", Proc. of Int. Workshop on Similarity-based Pattern Recognition (SIMBAD2011), pp. 77-89, (2011) pdf [C57] M. Bicego, A. D. Favia, P. Bisignano, A. Cavalli, V. Murino: "An innovative protocol for comparing protein binding sites via atomic grid maps", Proc. of Int. Conf. on Knowledge Discovery and Information Retrieval (KDIR2011), (2011) pdf [C56] F. Smeraldi, M. Bicego, M. Cristani, V. Murino: "CLOOSTING: CLustering Data with bOOSTING", Proc. Int. Workshop on Multiple Classifier Systems (MCS2011), pp. 289-298, (2011) pdf [C55] A. Perina, P. Lovato, V. Murino, M. Bicego: "Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray", Proc. Int. Conf. on Pattern Recognition in Bioinformatics (PRIB2010), pp. 230-241, (2010) pdf [C54] M. Bicego, A. Perina, V. Murino, A. Martins, P. Aguiar, M. Figueiredo: "Combining free energy score spaces with information theoretic kernels: Application to scene classification". Proc. of Int. Conf. on Image Processing (ICIP2010), pp. 2661-2664, (2010) pdf [C53] A. Ulaş, R. Duin, U. Castellani, M. Loog, M. Bicego, V. Murino, M. Bellani, S. Cerruti, M. Tansella, P. Brambilla, "Dissimilarity-based Detection of Schizophrenia", Proc. of ICPR workshop on Brain Decoding: Pattern Recognition Challenges in FMRI Neuroimaging, pp 32-35, (2010) pdf [C52] A. Martins, M. Bicego, V. Murino, P. Aguiar, M. Figueiredo, "Information theoretical kernels for generative embeddings based on Hidden Markov Models", Proc. of Int. Work. on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR 2010), pp. 463-472, (2010) pdf [C51] M. Bicego, A. Martins, V. Murino, P. Aguiar, M. Figueiredo, "2D shape recognition using information theoretic kernels", Proc. of Int. Conf. on Pattern Recognition (ICPR2010), pp. 25-28, (2010) pdf [C50] M. Bicego, P. Lovato, A. Ferrarini, M. Delledonne, "Biclustering of expression microarray data with topic models", Proc. of Int. Conf. on Pattern Recognition (ICPR2010), pp. 2728-2731, (2010) pdf [C49] A. Carli, M. Bicego, S. Baldo, V. Murino, "Nonlinear mappings for generative kernels on latent variable models", Proc. on Int. Conf. of Pattern Recognition (ICPR2010), pp- 2134-2137, (2010) pdf [C48] A. Carli, U. Castellani, M. Bicego, V. Murino, "Dissimilarity-based Representation for Local Parts", Proc. of Workshop on Cognitive Information Processing (CIP2010), pp. 299-303, (2010) pdf [C47] M. Bicego, P. Lovato, B. Oliboni, A. Perina "Expression microarray classification using topic models", Proc. of ACM SAC - Bioinformatics and Computational Biology track (SAC-BIO2010), pp. 1516-1520, (2010) pdf Matlab Code available [C46] A. Carli, M. Bicego, S. Baldo, V. Murino, "Non-linear Generative embeddings for kernels on latent variable models", Proc. of ICCV09 Workshop on Subspace Methods (SUBSPACE2009), (2009) pdf [C45] M. Bicego, M. Cristani, V. Murino, E. Pekalska, R. Duin, "Clustering-based construction of Hidden Markov Models for generative kernels", Proc. of Int. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2009), pp. 466-479, (2009) pdf [C44] D. S. Cheng, M. Bicego, U. Castellani, S. Cerruti, M. Bellini, G. Rambaldelli, M. Aztori, P. Brambilla, V. Murino, "Schizophrenia Classification Using Regions of Interest in Brain MRI", Proc. Intelligent Data Analysis in Biomedicine and Pharmacology (IDAMAP2009), in conjunction with AIME09, (2009) [C43] L. Bazzani, M. Cristani, M. Bicego, V. Murino, "Subjective online feature selection for occlusion management in tracking applications", Proc. Int. Conf. on Image Processing (ICIP2009), (2009) [C42] D. S. Cheng, M. Bicego, U. Castellani, M. Cristani, S. Cerruti, M. Bellani, G. Rambaldelli, M. Aztori, P. Brambilla, V. Murino, "A Hybrid Generative/Discriminative Method for Classification of Regions of Interest in Schizophrenia Brain MRI", Proc. of MICCAI09 workshop on Probabilistic Models for Medical Image Analysis, (2009) [C41] M. Ortega Hortas, L. Brodo, M. Bicego, M. Tistarelli, "Measuring Changes in Face Appearance through Aging", Proc. of CVPR09 Workshop on Biometrics, pp.107-113, (2009) [C40] M. Ortega Hortas, L. Brodo, M. Bicego, M. Tistarelli, "On the quantitative estimation of short-term aging in human faces", Proc. Int. Conf. on Image Analysis and Processing (ICIAP2009), pp. 575-584, (2009) pdf [C39] M. Cadoni, M. Bicego, E. Grosso, "3D face recognition using joint differential invariants", Proc. Int. Conf. on Biometrics (ICB2009), pp. 279-288, (2009) pdf [C38] M. Bicego, E. Grosso, E. Otranto, "A Hidden Markov Model approach to classify the sign of financial local trends", Proc. IAPR Int. Workshop on Statistical Techniques in Pattern Recognition (SPR2008), pp. 852-861, (2008) pdf [C37] M. Bicego, A. Trudda, "2D shape classification using multifractional Brownian motion", Proc. IAPR Int. Workshop on Statistical Techniques in Pattern Recognition (SPR2008), pp. 906-916, (2008) pdf [C36] M. Bicego, D. Gonzalez-Jimenez, E. Grosso, J.L. Alba-Castro, "Generalized Gaussian Distributions for sequential data classification", Proc. IEEE Int. Conf. on Pattern Recognition (ICPR08), pp. 1-4, (2008)pdf [C35] M. Bicego, M. Cristani, V. Murino, "Sparseness Achievement in Hidden Markov Models", Proc. of IEEE Int. Conf. on Image Analysis and Processing (ICIAP07), pp. 67-72, (2007) pdf [C34] M. Bicego, A.A. Salah, E. Grosso, M. Tistarelli, L. Akarun: "Generalization in Holistic versus Analytic Processing of Faces", Proc. of IEEE Int. Conf. on Image Analysis and Processing (ICIAP07), pp. 235-240, (2007) pdf [C33] A. Rattani, D.R. Kisku, M. Bicego, M. Tistarelli: "Feature Level Fusion of Face and Fingerprint Biometrics", Proc. of IEEE Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS07), (2007) pdf [C32] M. Tistarelli, L. Brodo, A. Lagorio, M. Bicego: "Recognition of human faces: from biological to artificial vision", Brain, Vision and Artificial Intelligence 2007 (BVAI07), LNCS 4729, F. Mele, G. Ramella, S. Santillo and F. Ventriglia Eds, pp. 191-213, (2007) pdf [C31] D. Gonzalez-Jimenez, M. Bicego, J.W.H. Tangelder, B.A.M Schouten, O. Ambekar, J.L. Alba-Castro, E. Grosso, M. Tistarelli, "Distance Measures for Gabor Jets-based Face Authentication: A Comparative Evaluation", Advances in Biometrics (ICB07), LNCS 4642, Seong-Whan Lee and Stan Z. Li Eds., pp. 474-483, (2007) pdf [C30] M. Bicego, E. Pekalska and R.P.W. Duin, "Group-induced vector spaces", Multiple Classifier Systems (MCS07), LNCS 4472, M. Haindl, J. Kittler, F. Roli Eds., pp. 190-199, (2007) pdf [C29] A. A. Salah, M. Bicego, L. Akarun, E. Grosso, M. Tistarelli: "Hidden Markov model-based face recognition using selective attention", Human Vision and Electronic Imaging XII, Proc. of SPIE, vol. 6492, (2007) pdf [C28] A. Rattani, D.R. Kisku, M. Bicego, M. Tistarelli: "Robust Feature-Level Multibiometric Classification", Proc. of IEEE Biometrics Symposium (BSYM06), pp 1-6, (2006) pdf [C27] M. Tistarelli, M. Bicego, E. Grosso: "Recognizing people's faces: from Human to Machine vision", Proc. of IEEE Int. Conf. on Control, Automation, Robotics and Vision (ICARCV06), pp. 1-7, (2006) pdf [C26] M. Cristani, M. Bicego, V. Murino: "Audio-visual foreground extraction for events characterization", Proc. of IEEE Int. Workshop on Semantic Learning Applications in Multimedia, in association with CVPR06, pp. 116, (2006) pdf [C25] M. Bicego, A.Lagorio, E. Grosso, M. Tistarelli: "On the use of SIFT features for face authentication", Proc. of IEEE Int Workshop on Biometrics, in association with CVPR06, pp. 35, (2006) pdf [C24] L. Brodo, M. Bicego, G. Brelstaff, A. Lagorio, M. Tistarelli, E. Grosso: "Comparing Faces: a computational and perceptual study". Proc. of Int. Conf. on Computer Vision Theory and Application (VISAPP06), pp. 188-191, (2006) pdf [C23] M. Bicego, E. Grosso, M. Tistarelli: "Person Authentication from video of faces: a behavioral and physiological approach using Pseudo Hierarchical Hidden Markov Models". Int. Conf. On Biometrics (ICBA06) , LNCS 3832, D. Zhang, A.K. Jain Eds, pp 113-120, (2006) pdf [C22] M. Bicego, E. Grosso, M. Tistarelli: "Face authentication using One-Class Support Vector Machines". Advances in Biometric Person Authentication: Int. Workshop on Biometric Recognition Systems , in conjunction with Int. Conf. On Computer Vision , LNCS 3781, S.Z. Li, Z. Sun, T. Tan, S. Pankanti, G. Chollet, D. Zhang Eds., pp. 15, (2005). pdf [C21] S. Ceresola, A. Fusiello, M. Bicego, A. Belussi, V. Murino: "Automatic updating of urban vector maps". Image Analysis and Processing (ICIAP05), LNCS 3617, F. Roli S. Vitulano Eds, pp. 1133--1139, (2005) pdf [C20] U. Castellani, M. Bicego, G. Iacono, V. Murino: "3D Face Recognition Using Stereoscopic Vision". Advanced Studies in Biometrics, LNCS 3161, M. Tistarelli, J. Bigun, E Grosso Eds, pp. 126, (2005) pdf [C19] M. Bicego, E. Grosso, M. Tistarelli: "On finding differences between faces". Audio- and Video-based Biometric Person Authentication (AVBPA05), LNCS 3546, T.Kanade, A. Jain, N. Ratha Eds, pp. 329--338, (2005). pdf [C18] M. Bicego, E. Grosso, M. Tistarelli: "Probabilistic face authentication using Hidden Markov Models". Biometric Technology for Human Identification II , Proc. of SPIE, vol. 5779, A.K. Jain, N.K. Ratha Eds., pp. 299--306, (2005). zipped ps [C17] M. Bicego, E. Grosso, A. Lagorio, M. Tistarelli: "Measuring differences between faces". Proc. of European Signal Processing Conference (EUSIPCO05), (2005) [C16] M. Cristani, M. Bicego, V. Murino: "Audio-video integration for background modelling". European Conference on Computer Vision (ECCV04), LNCS 3022, T. Pajdla, J. Matas Eds., pp. 202--213, (2004). pdf [C15] V. Murino, M. Bicego, I. Rossi: "Statistical classification of raw textile defects". Proc. of IEEE Int. Conf. on Pattern Recognition (ICPR04), vol 2, pp. 399--402, (2004) pdf [C14] M. Cristani, M. Bicego, V. Murino: "On-line adaptive background modelling for audio surveillance". Proc. of IEEE Int. Conf. on Pattern Recognition (ICPR04), vol 2, pp. 399--402, (2004) pdf [C13] A. Castellani, D. Botturi, M. Bicego, P. Fiorini: "Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks". Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA04), pp. 2918--2923, (2004) pdf [C12] M. Bicego, V. Murino, M.A.T. Figueiredo: "Similarity-based clustering of sequences using Hidden Markov Models". Machine Learning and Data Mining (MLDM03), LNAI 2734, P. Perner and A. Rosenfeld Eds., Springer, pp. 86-95, (2003). pdf [C11] M. Bicego, M. Cristani, A. Fusiello, V. Murino: "Watershed-based unsupervised clustering". Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR03), LNCS 2683, A. Rangarajan, M.A.T. Figueiredo and J. Zerubia Eds., Springer, pp. 83-94, (2003). pdf [C10] M. Bicego, G. Iacono, V. Murino: "Face recognition with Multilevel B-Splines and Support Vector Machines". Proc. of ACM SIGMM Multimedia Biometrics Methods and Applications Workshop (WBMA03), in conjunction with 11th ACM Int. Conf. on Multimedia , pp. 17-24, (2003) pdf [C9] M. Cristani, M. Bicego, V. Murino: "Multi-Level Background Initialization using Hidden Markov Models". Proc. of ACM SIGMM Workshop on Video Surveillance (IWVS03), in conjunction with 11th ACM Int. Conf. on Multimedia , pp. 11-19, (2003) pdf [C8] M. Bicego, U. Castellani, V. Murino: "Using Hidden Markov Models and Wavelets for face recognition". Proc. of IEEE Int. Conf. on Image Analysis and Processing (ICIAP03), pp. 52-56, (2003) pdf [C7] M. Bicego, S. Dalfini, G. Vernazza, V. Murino: "Automatic road extraction from aerial images by probabilistic contour tracking". Proc. of IEEE Int. Conf. on Image Processing (ICIP03), vol. III, pp. 585-588, (2003) pdf [C6] M. Bicego, S. Dalfini, V. Murino: "Aerial images analysis for the extraction of geographical entities". Proc. of Workshop on Spatial Data and Geographic Information Systems (SpaDaGIS03), (2003) [C5] M. Bicego, S. Dalfini, V. Murino: "Extraction of geographical entities from aerial images". Proc. of IEEE-ISPRS Workshop on Remote Sensing and Data fusion over Urban Areas (URBAN03), pp 125-128, (2003) pdf [C4] A. Panuccio, M. Bicego, V. Murino : "A Hidden Markov Model-based approach to sequential data clustering". Structural, Syntactic and Statistical Pattern Recognition (SSPR02), LNCS 2396, T. Caelli, A. Amin, R.P.W. Duin, M. Kamel, and D. de Ridder Eds., Springer, pp. 734-742, (2002) pdf [C3] M. Cristani, M. Bicego, V. Murino: "Integrated Region- and Pixel-based Approach to Background Modelling". Proc. of IEEE Workshop on Motion and Video Computing (MOTION02), pp 3-8, (2002) pdf [C2] M. Bicego, A. Dovier, V. Murino : "Designing the Minimal Structure of Hidden Markov Models by Bisimulation". Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR01), LNCS 2134, M. Figueiredo, J. Zerubia, and A.K. Jain Eds., Springer, pp. 75-90, (2001) pdf [C1] M. Bicego, V. Murino: "2D shape recognition by Hidden Markov Models". Proc. of 11th IEEE Int. Conf. on Image Analysis and Processing (ICIAP01), pp 20-24, (2001) pdfTechnical Reports / Posters / Others
[O5] P. Lovato, A. Giorgetti, M. Bicego: "A multimodal approach to protein remote homology detection", poster at the European Conference on Computational Biology (ECCB2014), (2014) Matlab Code available [O4] A. Castellini, V. Manca, M. Bicego, S. Compri, V. Marino, G. Tosadori: "Genome classification by dictionary-based indexes", poster at the Int. Conf. on Pattern Recognition in Bioinformatics (PRIB2011), (2011) [O3] M. Bicego, E. Grosso, E. Otranto: "Recognizing and forecasting the sign of financial local trends using Hidden Markov Models", CRENoS working paper n. 2008-03, (2008) [O2] M. Bicego, G. Brelstaff, N. Culeddu, M. Chessa: "Bag of Peaks: Interpretation of NMR Spectroscopy", poster at the 7th European Conference on Computational Biology, (2008) Matlab Code available [O1] D. Porcheddu, G. Atzeni, M. Bicego: "Ordinamenti dimensionali di impresa attraverso metodologie multiple classifier systems (MCS)", Economia e politica industriale, (2007) (in italian)