Francesco Pappalardo

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 72

Top Venues

Publications

Alessia Rondinella, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Elena Crispino, Francesco Pappalardo, Sebastiano Battiato
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models. BIBM (2023)
Giulia Russo, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Filippo Stanco, Francesco Pappalardo
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza. BMC Bioinform. 24 (1) (2023)
Alessia Rondinella, Elena Crispino, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Clara Di Lorenzo, Davide Maimone, Francesco Pappalardo, Sebastiano Battiato
Boosting multiple sclerosis lesion segmentation through attention mechanism. Comput. Biol. Medicine 161 (2023)
Valentina Di Salvatore, Giuseppe Catanuto, Giulia Russo, Francesco Pappalardo
Machine Learning techniques application to predict the quality of life degree in breast cancer patients. BIBM (2023)
Giuseppe Cultrera, Agnese Maccarrone, Giulia Russo, Francesco Pappalardo
Universal Immune System Simulator Analysis: The Impact of the Variable Approach Technique® on Enhancing Immune Defense Against infectious diseases. BIBM (2023)
William Cavallaro, Marzio Pennisi, Evdoxia Kyriazopoulou, Giulia Russo, Maria Cristina Jori, Evangelos J. Giamarellos-Bourboulis, Francesco Pappalardo
Modeling and Simulation of anakinra effects on severe COVID19 Patients. BIBM (2023)
Avisa Maleki, Alvaro Ras-Carmona, Elena Crispino, Valentina Di Salvatore, Giulia Russo, Pedro A. Reche, Francesco Pappalardo
Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective. BIBM (2023)
Elena Crispino, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo, Avisa Maleki, Valentina Di Salvatore
Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator. BIBM (2023)
Avisa Maleki, Alvaro Ras-Carmona, Valentina Di Salvatore, Giulia Russo, Elena Crispino, Francesco Pappalardo
Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern. BIBM (2022)
Giulia Russo, Valentina Di Salvatore, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Pedro A. Reche, Francesco Pappalardo
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets. Briefings Bioinform. 23 (1) (2022)
Nandu Chandran Nair, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo
Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator. BIBM (2022)
Fianne L. P. Sips, Francesco Pappalardo, Giulia Russo, Roberta Bursi
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim. BMC Medical Informatics Decis. Mak. (6) (2022)
Paul Richmond, Matthew Leach, Peter Heywood, Francesco Pappalardo, Giulia Russo, Marzio Pennisi
UISS-GPU: Accelerated In-Silico Tuberculosis Vaccine Trials Using FLAME GPU. BIBM (2022)
Francesco Pappalardo, John Wilkinson, Francois Busquet, Antoine Bril, Mark Palmer, Kenneth B. Walker, Cristina Curreli, Giulia Russo, Thierry Marchal, Elena Toschi, Rossana Alessandrello, Vincenzo Costignola, Ingrid Klingmann, Martina Contin, Bernard Staumont, Matthias Woiczinski, Christian Kaddick, Valentina Di Salvatore, Alessandra Aldieri, Liesbet Geris, Marco Viceconti
Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Giuseppe Alessandro Parasiliti Palumbo, Avisa Maleki, Serena Anna Italia, Giulia Russo, Francesco Pappalardo
Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS. BIBM (2021)
Giuseppe Sgroi, Giulia Russo, Anna Maglia, Giuseppe Catanuto, Peter Barry, Andreas Karakatsanis, Nicola Rocco, Francesco Pappalardo
Evaluation of word embedding models to extract and predict surgical data in breast cancer. BMC Bioinform. (14) (2021)
Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Valentina Di Salvatore, Giulia Russo, Francesco Pappalardo
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19. BIOMESIP (2021)
Valentina Di Salvatore, Avisa Maleki, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant. BIBM (2021)
Avisa Maleki, Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo
In silico design of recombinant multi-epitope vaccine against influenza A virus. BMC Bioinform. (14) (2021)
Marco Viceconti, Luca Emili, Payman Afshari, Eulalie Courcelles, Cristina Curreli, Nele Famaey, Liesbet Geris, Marc Horner, Maria Cristina Jori, Alexander Kulesza, Axel Loewe, Michael Neidlin, Markus Reiterer, Cecile F. Rousseau, Giulia Russo, Simon J. Sonntag, Emmanuelle M. Voisin, Francesco Pappalardo
Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Giuseppe Sgroi, Giulia Russo, Francesco Pappalardo
PETAL: a Python tool for deep analysis of biological pathways. Bioinform. 36 (22-23) (2021)
Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Francesco Pappalardo
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models. BMC Bioinform. (14) (2021)
Francesco Pappalardo, N. Iraci, L. Leggio, Alessandro Lombardo, Giacomo Morabito
How molecular packets improve cell-to-cell communication. NANOCOM (2021)
Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo, Giuseppe Alessandro Parasiliti Palumbo
Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets. BIBM (2020)
Valentina Di Salvatore, Daniela Formica, Giulia Russo, Viviana Giannino, Francesco Pappalardo
Modeling, simulation and prediction of protein structures for the design of oncolytic viruses. BIBM (2020)
Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero, Raffaele A. Calogero
Multiple Sclerosis disease: a computational approach for investigating its drug interactions. CoRR (2020)
Giuseppe Alessandro Parasiliti Palumbo, Giulia Russo, Giuseppe Sgroi, Marco Viceconti, Marzio Pennisi, Cristina Curreli, Francesco Pappalardo
Verify: a toolbox for deterministic verification of computational models. BIBM (2020)
Marco Viceconti, Miguel A. Juárez, Cristina Curreli, Marzio Pennisi, Giulia Russo, Francesco Pappalardo
Credibility of In Silico Trial Technologies - A Theoretical Framing. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Francesco Pappalardo, Giulia Russo, Pedro A. Reche
Toward computational modelling on immune system function. BMC Bioinform. (17) (2020)
Simone Pernice, Laura Follia, Alessandro Maglione, Marzio Pennisi, Francesco Pappalardo, Francesco Novelli, Marinella Clerico, Marco Beccuti, Francesca Cordero, Simona Rolla
Computational modeling of the immune response in multiple sclerosis using epimod framework. BMC Bioinform. (17) (2020)
Giulia Russo, Marzio Pennisi, Marco Viceconti, Francesco Pappalardo
In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform. CoRR (2020)
Giulia Russo, Marzio Pennisi, Epifanio Fichera, Santo Motta, Giuseppina Raciti, Marco Viceconti, Francesco Pappalardo
In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform. BMC Bioinform. (17) (2020)
Miguel A. Juárez, Marzio Pennisi, Giulia Russo, Dimitrios Kiagias, Cristina Curreli, Marco Viceconti, Francesco Pappalardo
Generation of digital patients for the simulation of tuberculosis with UISS-TB. BMC Bioinform. (17) (2020)
Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juárez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinform. (17) (2020)
Marco Viceconti, Miguel A. Juárez, Cristina Curreli, Marzio Pennisi, Giulia Russo, Francesco Pappalardo
POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing. CoRR (2019)
Francesco Pappalardo, Giulia Russo, Flora Musuamba Tshinanu, Marco Viceconti
In silico clinical trials: concepts and early adoptions. Briefings Bioinform. 20 (5) (2019)
Saverio Candido, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Valentina Di Salvatore, Massimo Libra, Francesco Pappalardo
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation. BMC Bioinform. (13) (2019)
Giuseppe Parasiliti, Marzio Pennisi, Pietro Biondi, Giuseppe Sgroi, Giulia Russo, Christian Napoli, Francesco Pappalardo
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets. PDP (2019)
Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. CoRR (2019)
Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Laura Sciacca, Francesco Frasca, Francesco Pappalardo
Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells. Bioinform. 35 (13) (2019)
Marzio Pennisi, Miguel A. Juárez, Giulia Russo, Marco Viceconti, Francesco Pappalardo
Generation of digital patients for the simulation of tuberculosis with UISS-TB. BIBM (2019)
Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Angela Bonaccorso, Giuseppe Alessandro Parasiliti Palumbo, Epifanio Fichera, Dipendra Kumar Mitra, Kenneth B. Walker, Pere-Joan Cardona, Merce Amat, Marco Viceconti, Francesco Pappalardo
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS). BMC Bioinform. (6) (2019)
Simone Pernice, Marco Beccuti, Greta Romano, Marzio Pennisi, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Lorenzo Capra, Giuliana Franceschinis, Massimiliano De Pierro, Gianfranco Balbo, Francesca Cordero, Raffaele A. Calogero
Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions. CIBB (2019)
Giulia Russo, Francesco Pappalardo, Miguel A. Juárez, Marzio Pennisi, Pere-Joan Cardona, Rhea Coler, Epifanio Fichera, Marco Viceconti
Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator. BIBM (2019)
Francesco Pappalardo, Marzio Pennisi, Pedro A. Reche, Giulia Russo
Toward computational modelling on immune system function. BMC Bioinform. (6) (2019)
Marzio Pennisi, Miguel A. Juárez, Giulia Russo, Marco Viceconti, Francesco Pappalardo
Generation of digital patients for the simulation of tuberculosis with UISS-TB. CoRR (2019)
Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo
In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models. CIBB (2019)
Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. BIBM (2019)
Simone Pernice, Greta Romano, Giulia Russo, Marco Beccuti, Marzio Pennisi, Francesco Pappalardo
Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration. BIBM (2019)
Giuseppe Alessandro Parasiliti Palumbo, Pietro Biondi, Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates. BIBM (2019)
Mozhgan Kabiri Chimeh, Peter Heywood, Marzio Pennisi, Francesco Pappalardo, Paul Richmond
Parallelisation strategies for agent based simulation of immune systems. BMC Bioinform. (6) (2019)
Simone Pernice, Marzio Pennisi, Greta Romano, Alessandro Maglione, Santina Cutrupi, Francesco Pappalardo, Gianfranco Balbo, Marco Beccuti, Francesca Cordero, Raffaele A. Calogero
A computational approach based on the colored Petri net formalism for studying multiple sclerosis. BMC Bioinform. (6) (2019)
Mozhgan K. Chimeh, Peter Heywood, Marzio Pennisi, Francesco Pappalardo, Paul Richmond
Parallel Pair-Wise Interaction for Multi-Agent Immune Systems Modelling. BIBM (2018)
Marzio Pennisi, Gabriele Forzano, Giulia Russo, Barbara Tomasello, Marco Favetta, Marcella Renis, Francesco Pappalardo
BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data. ICIC (2) (2018)
Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Santo Motta, Epifanio Fichera
An agent based modeling approach for the analysis of tuberculosis - immune system dynamics. BIBM (2018)
Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization. CIBB (2018)
Simone Pernice, Marco Beccuti, Pietro Do', Marzio Pennisi, Francesco Pappalardo
Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets. BIBM (2018)
Giulia Russo, Marzio Pennisi, Roberta Boscarino, Francesco Pappalardo
Continuous Petri Nets and microRNA Analysis in Melanoma. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Marzio Pennisi, Giulia Russo, Francesco Pappalardo
Combining Parallel Genetic Algorithms and Machine Learning to Improve the Research of Optimal Vaccination Protocols. PDP (2018)
Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Santo Motta, Davide Maimone, Ferdinando Chiacchio
Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome. BIBM (2018)
Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo
GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. Euro-Par Workshops (2018)
Francesco Pappalardo, Abdul Mateen Rajput, Santo Motta
Computational modeling of brain pathologies: the case of multiple sclerosis. Briefings Bioinform. 19 (2) (2018)
Giulia Russo, Marzio Pennisi, Roberta Boscarino, Francesco Pappalardo
Modeling PI3K/PDK1/Akt and MAPK Signaling Pathways Using Continuous Petri Nets. ICIC (2) (2017)
Marzio Pennisi, Giulia Russo, Silvia Ravalli, Francesco Pappalardo
Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus. BMC Bioinform. 18 (16) (2017)
Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Giuseppe Parasiliti, Francesco Pappalardo
2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions. ICIC (2) (2017)
Juan A. Sanchez-Lantaron, Pedro A. Reche, Marzio Pennisi, Giulia Russo, Francesco Pappalardo
Introducing scale factor adjustments on agent-based simulations of the immune system. BIBM (2017)
Marzio Pennisi, Juan A. Sanchez-Lantaron, Pedro A. Reche, Giulia Russo, Francesco Pappalardo
Optimization and analisys of vaccination schedules using simulated annealing and agent based models. BIBM (2017)
Francesco Pappalardo, Epifanio Fichera, Nicoletta Paparone, Alessandro Lombardo, Marzio Pennisi, Giulia Russo, Marco Leotta, Alessandro Pedretti, Francesco De Fiore, Santo Motta
A computational model to predict the immune system activation by citrus-derived vaccine adjuvants. Bioinform. 32 (17) (2016)
Marzio Pennisi, Salvatore Cavalieri, Santo Motta, Francesco Pappalardo
A methodological approach for using high-level Petri Nets to model the immune system response. BMC Bioinform. 17 (S-19) (2016)
Ferdinando Chiacchio, Diego D'Urso, Lucio Compagno, Marzio Pennisi, Francesco Pappalardo, Gabriele Manno
SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problems. Expert Syst. Appl. 47 (2016)
Francesca Gullo, Mark van der Garde, Giulia Russo, Marzio Pennisi, Santo Motta, Francesco Pappalardo, Suzanne Watt
hematopoietic stem/progenitor cells with different cytokine combinations. Bioinform. 31 (15) (2015)
Vincenzo Cutello, Francesco Pappalardo
Targeting the Minimum Vertex Set Problem with an Enhanced Genetic Algorithm Improved with Local Search Strategies. ICIC (1) (2015)
Francesco Pappalardo, Marzio Pennisi, Alessia Ricupito, Francesco Topputo, Matteo Bellone
Induction of T-cell memory by a dendritic cell vaccine: a computational model. Bioinform. 30 (13) (2014)
Francesco Pappalardo, Marzio Pennisi, Abdul Mateen Rajput, Ferdinando Chiacchio, Santo Motta
Relapsing-remitting multiple scleroris and the role of vitamin D: an agent based model. BCB (2014)
Abdul Mateen Rajput, Marzio Pennisi, Santo Motta, Francesco Pappalardo
OntoFast: Construct Ontology Rapidly. KESW (2014)
Filippo Castiglione, Francesco Pappalardo
Computational Biology Modeling across Different Scales. SIMULTECH (2013)
Marzio Pennisi, Abdul Mateen Rajput, Luca Toldo, Francesco Pappalardo
Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis. BMC Bioinform. 14 (S-16) (2013)
Francesco Pappalardo, Marzio Pennisi, Ferdinando Chiacchio, Salvatore Musumeci, Santo Motta
iAtheroSim: atherosclerosis process simulator on smart devices. BCB (2013)
Santo Motta, Francesco Pappalardo
Mathematical modeling of biological systems. Briefings Bioinform. 14 (4) (2013)
Francesco Pappalardo, Santo Motta
Modeling Cancer Vaccines. CISIS (2012)
Francesco Pappalardo, Vladimir Brusic, Holger Fröhlich
Immune System Modeling and Related Pathologies. Comput. Math. Methods Medicine 2012 (2012)
Carlo Bianca, Ferdinando Chiacchio, Francesco Pappalardo, Marzio Pennisi
Mathematical modeling of the immune system recognition to mammary carcinoma antigen. BMC Bioinform. 13 (S-17) (2012)
Cristiano Calonaci, Ferdinando Chiacchio, Francesco Pappalardo
Optimal vaccination schedule search using genetic algorithm over MPI technology. BMC Medical Informatics Decis. Mak. 12 (2012)
Marzio Pennisi, Dario Motta, Alessandro Cincotti, Francesco Pappalardo
Predicting Long-Term Vaccine Efficacy against Metastases Using Agents. ICIC (3) (2011)
Francesco Pappalardo, Marzio Pennisi, Ferdinando Chiacchio, Alessandro Cincotti, Santo Motta
GRIDUISS - A Grid Based Universal Immune System Simulator Framework. ICIC (1) (2010)
Francesco Pappalardo, Marzio Pennisi, Alessandro Cincotti, Ferdinando Chiacchio, Santo Motta, Pierluigi Lollini
Cancer Immunoprevention: What Can We Learn from in Silico Models? ICIC (3) (2010)
Francesco Pappalardo, Marzio Pennisi, Santo Motta
Universal immune system simulator framework (UISS). BCB (2010)
Marzio Pennisi, Francesco Pappalardo, Arianna Palladini, Giordano Nicoletti, Patrizia Nanni, Pierluigi Lollini, Santo Motta
Modeling the competition between lung metastases and the immune system using agents. BMC Bioinform. 11 (S-7) (2010)
Francesco Pappalardo, Mark D. Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew Emerson, Paola Paci, Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J. Shepherd, David S. Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo Motta, Pierluigi Lollini, Kaye E. Basford, Vladimir Brusic
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings Bioinform. 10 (3) (2009)
Francesco Pappalardo, Mark D. Halling-Brown, Marzio Pennisi, Ferdinando Chiacchio, Clare Sansom, Adrian J. Shepherd, David S. Moss, Santo Motta, Vladimir Brusic
The ImmunoGrid Simulator: How to Use It. CIBB (2009)
Marzio Pennisi, Roberto Catanuto, Francesco Pappalardo, Santo Motta, Emilio Mastriani, Alessandro Cincotti
Simulated Annealing and Optimal Protocols. J. Circuits Syst. Comput. 18 (8) (2009)
Francesco Pappalardo, Alessandro Cincotti, Alfredo Motta, Marzio Pennisi
Agent Based Modeling of Atherosclerosis: A Concrete Help in Personalized Treatments. ICIC (2) (2009)
Francesco Pappalardo, Cristiano Calonaci, Marzio Pennisi, Emilio Mastriani, Santo Motta
HAMFAST: Fast Hamming Distance Computation. CSIE (1) (2009)
Filippo Castiglione, Francesco Pappalardo
Toward Multi-organs Simulations of Immune-Pathogen Interactions. ISDA (2009)
Carlo Bianca, Francesco Pappalardo, Santo Motta
The MWF method for kinetic equations system. Comput. Math. Appl. 57 (5) (2009)
Marzio Pennisi, Francesco Pappalardo, Santo Motta
Agent Based Modeling of Lung Metastasis-Immune System Competition. ICARIS (2009)
Marzio Pennisi, Roberto Catanuto, Francesco Pappalardo, Santo Motta
Optimal vaccination schedules using simulated annealing. Bioinform. 24 (15) (2008)
Francesco Pappalardo, Salvatore Musumeci, Santo Motta
Modeling immune system control of atherogenesis. Bioinform. 24 (15) (2008)
Filippo Castiglione, Francesco Pappalardo, Massimo Bernaschi, Santo Motta
Optimization of HAART with genetic algorithms and agent-based models of HIV infection. Bioinform. 23 (24) (2007)
Marzio Pennisi, Francesco Pappalardo, Alfredo Motta, Alessandro Cincotti
A Genetic Algorithm for Shortest Path Motion Problem in Three Dimensions. ICIC (2) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francesco Pappalardo