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Publications and reports

Co-edited Proceedings


[2] B. Zavidovique, G. Lo Bosco (Eds.) , SCIENCE: IMAGe IN AcTION, Proceedings of the 7th International Workshop on Data Analysis in Astronomy Livio Scars and Vito Di Gesł, Erice (Italy), April 2011, World Scientific Publishing, Singapore, ISBN: 13-978-981-4383-28-8



[1] V. Di Gesu', G. Lo Bosco, M.C. Maccarone (Eds.) , Modelling and Simulation in Science, Proceedings of the 6th International Workshop on Data Analysis in Astronomy <<Livio Scarsi>>, Erice (Italy), April 2007, World Scientific Publishing, Singapore, ISBN: 13-978-981-277-944-1



Book Chapters


[1] R. Giancarlo, G. Lo Bosco, L. Pinello, F. Utro, The Three Steps of Clustering in the Post-Genomic Era, chapter in Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data, M. Elloumi, A. Y. Zomaya (Eds.), 2014, John Wiley & Sons Ltd., New Jersey, USA (Publish.)



International Journal Papers


[18]
M. Cannioto, A. D'Alessandro, G. Lo Bosco, S. Scudero, G. Vitale, Vehicle routing problem and UAV application in the post-earthquake scenario, Natural Hazards and Earth System Sciences, 2017 (accepted).



[17] S. Davino, S. Panno, M. Arrigo, M. La Rocca, A.G. Caruso, G. Lo Bosco, Planthology: An application system for plant diseases management, Chemical Engineering Transactions 2017, Vol. 58, pp. 619-624, AIDIC publisher.



[16] M. Gorska-Ponikowska, U. Perricone, A. Kuban-Jankowska, G. Lo Bosco, G. Barone, 2-methoxyestradiol impacts on amino acids-mediated metabolic reprogramming in osteosarcoma cells by its interaction with NMDA receptor”, Journal of Cellular Physiology 2017, Vol. 232, N. 11, pp. 3030-3049, Wiley Online Library.



[15] R. Giancarlo, G. Lo Bosco, F. Utro, Bayesian Versus Data Driven Model Selection for Microarray Data”, Natural Computing 2015, Vol. 14, N. 3, pp. 393-402, Springer. 


[14] L. Pinello, G. Lo Bosco, G.C.Yuan, “Applications of alignment-free methods in epigenomics”, Briefing in Bioinformatics 2014, Vol. 15, N.3, Oxford University Press.



[13] M. Cipolla, G. Lo Bosco, F. Millonzi, C. ValentiAn Island Strategy for Memetic Discrete Tomography Reconstruction, Information Sciences 2014, Vol. 257, pp. 357-368, Elsevier.


[12] R. Giancarlo, G. Lo Bosco, L. Pinello, F. Utro, A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis, BMC Bioinformatics 2013, Vol. 14, S1, BioMed Central.


[11] L. Pinello, G. Lo Bosco, B. Hanlon and G.C.Yuan, “A motif-independent metric for DNA sequence specificity”, BMC Bioinformatics 2011, Vol 12, n. 408, BioMed Central.


[10] A. Sala, M. Toto, L. Pinello, A. Gabriele, V. Di Benedetto, A.M.R. Ingrassia, G. Lo Bosco, V. Di Gesł, R. GIancarlo and D.F.V. Corona, Genome-wide characterization of chromatin binding and nucleosome spacing activity of the nucleosome remodelling ATPase ISWI”, The EMBO Journal, 29 March 2011.


[9] V. Di Gesł, G. Lo Bosco, F. Millonzi, C. ValentiA Memetic Approach to Discrete Tomography from Noisy Projections, Pattern Recognition, Vol.43, N.9, 2010, pp. 3073-3082, Elsevier.
  
[8] V. Di Gesł, G. Lo Bosco, L. Pinello,A one class KNN for Signal identification: a biological case study, International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESDP), Vol 1, N.4, 2009, pp. 376-389, Inderscience Publishers.
  
[7]
G. Tarantino, V. Di Marco, S. Petta, P.L. Almasio, F. Barbaria, A. Licata, G. Lo Bosco, C. Tripodo, R. Di Stefano, A. Craxi, Serum BLyS/BAFF predicts the outcome of acute hepatitis C virus infection, Journal of Viral Hepatitis, Vol 16, N.6, 2009, pp. 397-405, Wiley Blackwell.


[6] V. Di Gesł, G. Lo Bosco, L. Pinello, G.C. Yuan, D.F.V. Corona,"A Multi-Layer Method to Study Genome-Scale Positions of Nucleosomes, Genomics, Vol 93, N.2, February 2009, pp. 140-145, Elsevier.
  
[5] A. M. Florena, C. Tripodo, C. Guarnotta, S. Ingrao, R. Porcasi, A. Martorana, D. Cabibi, G. Lo Bosco, V. Franco,Associations between Notch-2, AKT-1 and Her-2neu Expression in Invasive Human Breast Cancer: A Tissue Microarray Immunophenotypic Analysis on 98 Patients, Pathobiology, Vol.74, N. 6, pp. 317-322, 2007, Karger Publishers.
  
[4] G. Lo Bosco, “An integrated fuzzy Cells-Classifier, Image and Vision computing, Vol. 25, N. 2, pp. 214-219, February 2007, Elsevier.


[3] V. Di Gesł, R. Giancarlo, G. Lo Bosco, A. Raimondi, D. Scaturro,  “GenClust: A Genetic Algorithm for clustering of gene expression data, BMC Bioinformatics 2005, Vol 6, n. 289, December 2005, BioMed Central.
  
[2] V. Di Gesł, G. Lo Bosco, “A Genetic Integrated Fuzzy Classifier, Pattern Recognition Letters, Vol 26, pp. 411-420, 2005, Elsevier.
 
[1] R. C. Coelho, V. Di Gesł, G. Lo Bosco, J.S. Tanaka and C. Valenti, “Shape-Based Features for Cat Ganglion Retinal Cells Classification, Real-Time Imaging, Special Issue on Imaging in Bioinformatics, Vol. 8, n.3, pp. 213-226, 2002, Academic Press.
 
National Journal Papers.
 
[1] M. Cardaci, V. Di Gesł, R. Misuraca, F.A. Carmeci,  G. Lo Bosco, A. Pace, “Esplorazione cognitiva di un programma di e-learning, Ergonomia,  vol. 6, pp. 42-49, Moretti & Vitali Editori.
 
Conference Proceedings on International series.


[21] F. Chiavetta, G. Lo Bosco, G. Pilato, “A Layered Architecture for Sentiment Classification of Products Reviews in Italian Language”, Lecture Notes in Business Information Processing vol 292, Revised Selected Papers of 12th International Conference WEBIST 2016, Rome, Italy, April 23–25, 2016, pp. 120-141, V. Monfort, K-H. Krempels, T.A. Majchrzak, P. Traverso (Eds.)


[20] M.A. Di Gangi, S. Gaglio, C. La Bua, G. Lo Bosco, R. Rizzo, “Deep learning network for exploiting positional information in nucleosome related sequences”, Lecture Notes in Computer Science vol 10209, Part II, 5th International Work-Conference on Bioinformatics and Biomedical Engineering IWBBIO 2017, Granada, April 26-28 2017, pp. 524-533, I. Rojas, F. Ortuńo (Eds.)



[19] G. Lo Bosco, M.A. Di Gangi, “Deep Learning Architectures for DNA Sequence Classification”, Lecture Notes in Artificial Intelligence vol 10147, Revised Selected Papers of 11th International Workshop WILF 2016, Naples, Italy, December 19–21, 2016, pp. 162-171, A. Petrosino, V. Loia, W. Pedrycz (Eds.)


[18] M. Alfano, B. Lenzitti, G. Lo Bosco, D. Taibi, “A Framework for Opening Data and Creating Advanced Services in the Health and Social Fields” , ACM International Conference Proceeding Series, 17th International Conference on Computer Systems and Technologies CompSysTech '16, Palermo, Italy, June 23-24  2016, pp. 57-64.


[17] G. Lo Bosco, Alignment free dissimilarities for nucleosome classification, Lecture Notes in Computer Science vol 9874, Revised Selected Papers of 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, Naples, Italy, September 10-12  2015, pp. 114-128, C. Angelini, P. MV Rancoita, S. Rovetta  (Eds.).


[16] G. Lo Bosco, L. Pinello, A new feature selection methodology for K-mers representation of DNA sequences, Lecture Notes in Computer Science vol 8623, Revised Selected Papers of 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014; Cambridge, United Kingdom, pp. 99-108, June 26-28 2014, C. Di Serio, P. Liņ, A. Nonis, R. Tagliaferri  (Eds.).


[15] M. Alfano, B. Lenzitti, G. Lo Bosco, A web search methodology for health consumers, ACM International Conference Proceeding Series vol 883, 5th International Conference on Computer Systems and Technologies CompSysTech 2014, Ruse, Bulgaria, June 27-28  2014, pp. 150-157.


[14]
F. Benvegna, A. D'Alessandro, G. Lo Bosco, D. Luzio, L. Pinello, D. Tegolo, A new dissimilarity measure for clustering seismic signals, Lecture Notes in Computer Science vol 6979, 16th International Conference on Image Analysis and Processing ICIAP 2011, Ravenna, Italy, September 14-16 2011, pp. 434-443, G. Maino, G.L. Foresti (Eds.).


[13]
M. Cipolla,  G. Lo Bosco, F. Millonzi, C. Valenti, A Memetic Island Model for Discrete Tomography Reconstruction, Lecture Notes in Artificial Intelligence vol 6857, 9th International Workshop on Fuzzy Logic and Applications WILF 2011, Trani, Italy, August 2011, pp. 261-268, A.M. Fanelli, W. Pedrycz, A. Petrosino (Eds.).



[12]
R. Giancarlo, G. Lo Bosco,  L. Pinello, F. Utro,  The Three Steps  of Clustering in the Post-Genomic Era: A Synopsis, Lecture Notes in Computer Science vol 6685,  7th International Meeting on  Computational Intelligence for Bioinformatics and Biostatistics CIBB 2010,  Palermo, Italy, September 16-18 2010, pp. 13-30, R. Rizzo, P. Lisboa (Eds.).


[11] R. Giancarlo, G. Lo Bosco,  L. Pinello, Distance Functions, Clustering Algorithms and Microarray Data Analysis, Lecture Notes in Computer Science vol. 6073,  4th International Conference Learning and Intelligent OptimizatioN LION 4, Venice, Italy, January 18-22 2010, pp.125-138, C. Blum, R. Battiti (Eds.).



[10]

G. Lo Bosco, L. Pinello, A Fuzzy One Class Classifier for Multi Layer Model, Lecture Notes in Artificial Intelligence vol. 5571,  8th International workshop on Fuzzy Logic and application WILF2009, Palermo, Italy, June 2009, pp.124-131, V. Di Gesł, S.K. Pal, A. Petrosino (Eds.).


 
[9]

V. Di Gesł, G. Lo Bosco, L. Pinello, Interval Length Analysis in Multi Layer Model, Lecture Notes in BIoinformatics vol. 5488, 5th International Meeting on Computational Intelligence for Bioinformatics and Biostatistics CIBB 2008, Vietri sul Mare, Salerno, Italy,  October 3-4 2008, pp.114-122,  F. Masulli, R. Tagliaferri, G.M. Verkhivker (Eds.). 


 
[8]

V. Di Gesł, G. Lo Bosco, L. Pinello, A one class classifier for Signal identification: a biological case study, Lecture Notes in Artificial Intelligence vol. 5179, 12th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES-2008, Zagreb, Croatia, September 2008, pp.747-754,  I. Lovrek, R.J. Howlett, J.C. Lakhmi (Eds.).


  
[7] V. Di Gesł, G. Lo Bosco, F. Millonzi, C. Valenti, A Memetic Algorithm for Binary Image Reconstruction, Lecture Notes in Computer Science, vol. 4958, 12th International Workshop, IWCIA 2008, Buffalo, NY, USA, April 7-9, 2008, pp. 384–395, V.E. Brimkov, R.P. Barneva, H.A. Hauptman (Eds.).
  
[6] V. Di Gesł, G. Lo Bosco, F. Millonzi, C. Valenti, Discrete Tomography Reconstruction Through a New Memetic Algorithm, Lecture Notes in Computer Science vol. 4974, EvoWorkshops 2008, Naples, Italy, March 26-28 2008, pp. 347-352, Mario Giacobini et al. (Eds.).
  
[5] D.F.V. Corona, V. Di Gesł, G. Lo Bosco, L.Pinello, G.C. Yuan,“A new Multi-Layers Method to Analyze Gene Expression”, Lecture Notes in Artificial Intelligence vol. 4694, 11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES-2007 in conjunction with XVII Italian Workshop on Neural Networks WIRN-2007, Vietri sul Mare, Italy, September 2007, pp. 862–869, B. Apolloni, R.J. Howlett, L.C. Jain (Eds.).
  
[4] V. Di Gesł, G. Lo Bosco, “Combining one class fuzzy KNN’s”, Lecture Notes in Artificial Intelligence vol. 4578, 7th International workshop on Fuzzy Logic and application WILF2007, Camogli, Italy, July  2007, pp. 152-160, F. Masulli, S. Mitra, G. Pasi (Eds.).
  
[3] V. Di Gesł , G. Lo Bosco “Image Segmentation based on Genetic Algorithms Combination”, Lecture notes in Computer Science vol. 3617, 13th International Conference on Image Analysis and Processing ICIAP 2005, Cagliari, Italy, September 2005, pp. 352-359, F. Roli and S. Vitulano (Eds.).
  
[2] G. Lo Bosco, “An Integrated fuzzy Cells-classifier”, Lecture Notes in Artificial Intelligence vol. 2955, 5th International workshop on Fuzzy Logic WILF2003 revised selected papers,  Napoli, Italy, October 2003, pp. 263-270, V. Di Gesł, F. Masulli, A. Petrosino (Eds.).
  
[1] V. Di Gesł, G. Lo Bosco, “Experiments on a Prey predator system”, Advances in Soft Computing - Soft Computing applications, 4th Italian workshop on Fuzzy Logic WILF2001, Milano, Italy, September 2001, pp. 71-79, A. Bonarini, F. Masulli, G. Pasi (Eds.).
 
International Conference Proceedings

[20] G. Lo Bosco, R. Rizzo, A. Fiannaca, M. La Rosa, A. Urso, A Deep Learning Model for Epigenomic Studies”, in Proc. of the 12th International Conference on Signal Image Technology & Internet Systems SITIS 2016, Naples, Italy, Nov 28 - Dec 1 2016,  pp.688-692, IEEE Computer Society Press.


[19] F. Chiavetta, G. Lo Bosco, G. Pilato, A lexicon-based approach for sentiment classification of Amazon books reviews in Italian language”, in Proc. of 12th International Conference on Web Information Systems and Technologies WEBIST 2016, Rome, Italy, April 23-25 2016, Volume 2, 2016, pp 159-170.


[18] M. Alfano, B. Lenzitti, G. Lo Bosco, V. Perticone, An automatic system for helping health consumers to understand medical texts”, in Proc. of 8th International Conference on Health Informatics HEALTHINF 2015, part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2015, Lisbon, Portugal, January 12-15 2015, pp. 622-627.

[17] M. Alfano, B. Lenzitti, G. Lo Bosco,“U-MedSearch: A Meta Search Engine of Medical Content for Different Users and Learning Needs”, in Proc. of the International Conference on E-Learning e-Learning'15, Berlin, Germany, September 11-12 2015.

[16] G. Lo Bosco, D. La Neve,“Alignment free Dissimilarities for sequence classification”, in Proc. of 12th International Meeting on Computational Intelligence for Bioinformatics and Biostatistics CIBB 2015,  Naples, Italy, September 10-12 2015.

[15] M. Alfano, B. Lenzitti, G. Lo Bosco, V. Perticone, Facilitating text understanding for e-learning users”, in Proc. of  the International Conference on E-Learning e-Learning' 14, Tenerife, Spain, September 12 2014.

[14] G. Lo Bosco, L.Pinello,“A New Feature Selection Strategy for K-mers Sequence Representation”, in Proc. of 11th International Meeting on Computational Intelligence for Bioinformatics and Biostatistics CIBB 2014,  Cambridge, United Kingdom, June 26-28 2014.


[13]

V. Di Gesł, G. Lo Bosco, J.H. Friedman,“Intruder Pattern Identification”, in Proc. of ICPR 2008, 19th International Conference on Pattern Recognition, Tampa, Florida, USA, Dec. 8-11 2008, pp.1-4, IEEE computer society press.

  
[12]

D. Corona, V. Di Gesł, G. Lo Bosco, L.Pinello, M. Collesano, G.C. Yuan,“A Multi-layer method to study Genome-Scale Positions of Nucleosomes”, in Proc. of Data Analysis in Astronomy “Modelling and Simulation in Science”,  Erice, Italy, April 2007, pp.169-177, V. Di Gesł, M.C. Maccarone and G. Lo Bosco (Eds.).

  
[11] V. DI Gesł, B. Lenzitti, G. Lo Bosco, D. Tegolo Comparison Of Different Cooperation Strategies in the Prey-Predator Problem”, in Proc. of  CAMPS 2006: International Workshop on Computer Architecture for Machine Perception and Sensing, Montreal, Canada, September 2006, pp. 108-112, IEEE computer society press.
  
[10] G. Lo Bosco, “PGAC: A Parallel Genetic Algorithm for Data Clustering”, in proc. of  CAMP2005: International Workshop on Computer Architecture for Machine Perception, Palermo, Italy, June 2005, pp. 283-287, IEEE computer society press.
  
[9] A.Casanova, V. Di Gesł, G. Lo Bosco, S. Vitulano, “Entropy measures in Image Classification”, in proc. of  Human and Machine Perception: Communication, Interaction and Integration, Oristano, Italy, 2004, pp. 89-103, S.Vitulano and V. Di Gesł (Eds.).
  
[8] V. Di Gesł , G. Lo Bosco, “Integrated fuzzy classification”, in proc. of  the 5th International  conference on advances in Pattern Recognition ICAPR 2003, Calcutta, India, 2003, pp. 448-452, Allied Publishers.
  
[7] V. Di Gesł., G. Lo Bosco, B. Zavidovique, "Classification based on Iterative Object Symmetry Transform", in proc. of the 12th International Conference in Image Analysis and Processing ICIAP 2003,  Mantova, Italy, 2003, pp. 44-49, IEEE computer society press.
  
[6] V. Di Gesł, G. Lo Bosco, D.Tegolo “Distribute image retrieval on Daisy”, in proc of CAMP 2003: International Workshop on Computer Architecture for Machine Perception, IEEE Workshop, New Orleans, USA, 2003, pp. 81-86, IEEE computer society press.
  
[5] G. Lo Bosco, “A genetic algorithm for image segmentation”, in proc. of 11th International Conference on Image Analysis and Processing ICIAP 2001, Palermo, Italy, 2001, pp. 262-266, IEEE computer society press.
  
[4] V. Di Gesł, G. Lo Bosco, D. Tegolo, Experiments on Concurrent Artificial Environment, in proc of Human and Machine Perception: Thinking, Deciding, Acting, Palermo, Italy 2000, pp. 123-130, V.Cantoni, V. Di Gesł, A. Setti and D. Tegolo (Eds.).
  
[3] V. Di Gesł, B. Lenzitti, G. Lo Bosco, D. Tegolo A Distributed architecture for autonomous navigation of robots”, in proc. of CAMP 2000, Padova, Italy, 2000, pp. 190-195, IEEE computer society press.
  
[2] B. Lenzitti, G. Lo Bosco, D. Tegolo “An Integrated Environment for Dynamic Processes in distributed Image Analysis System”, in proc. of XXI convention MIPRO ’98, Opatija, Croatia, 1998, pp. 14-21, P. Biljanovic, K. Skala, S. Ribaric, L. Budin (Eds.).
  
[1] A.Chella, V. Di Gesł, S. Gaglio, G. Gerardi, I. Infantino, D. Intravaia, B. Lenzitti, G. Lo Bosco, A. Messina, R. Pirrone, P. Storniolo, “DAISY: a Distributed Architecture for Intelligent System”, in proc. of CAMP97, Boston , USA, 1997, pp. 42-50, IEEE computer society press.
 
National Conference Proceedings
 
[1]

D. Corona, V. Di Gesł, G. Lo Bosco, L. Pinello, G-C. Yuan, Studying Nucleosomes Positioning by a Multi-Layer Model, in Proc. of the Symposium "GRID Open Days at the University of Palermo", Palermo, Italy, 6-7 December 2007, pp. 81-86, Consorzio COMETA (Eds.).

   
Preprints and Technical reports
   
[2]

V. DI Gesł, R. Giancarlo, G. Lo Bosco, A. Raimondi, D. Scaturro, F. Lo Cicero, The Design and Validation of a Genetic Algorithm for Clustering of Gene Expression Data, Preprint 263, Dept. of Applied Mathematics, Palermo University, September 2004.

  
[1]

S. Contassot-Vivier, G. Lo Bosco, C. D. Nguyen, Multiresolution approach for image processing,  Technical report, Erasmus ICP-A-2007, Leiden, Holland, April 1996.