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Vitoantonio Bevilacqua

Showing results (1-10 of 57) with videos related to

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BMC Bioinformatics|July 3, 2013
Scalable high-throughput identification of genetic targets by network filteringVitoantonio Bevilacqua, Paolo Pannarale
Scientific Reports|July 2, 2025
Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRIAnnachiara Cariola, Elena Sibilano, Andrea Guerriero, et al.
Frontiers in Neurorobotics|November 29, 2018
A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow JointsDomenico Buongiorno, Michele Barsotti, Francesco Barone, et al.
International Journal of Medical Informatics|March 29, 2025
Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinomaGian Maria Zaccaria, Nicola Altini, Valentina Mongelli, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 19, 2025
A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutationsFrancesco Berloco, Gian Maria Zaccaria, Nicola Altini, et al.
Genomics, Proteomics & Bioinformatics|November 1, 2008
Identification of tumor evolution patterns by means of inductive logic programmingVitoantonio Bevilacqua, Patrizia Chiarappa, Giuseppe Mastronardi, et al.
Omics : a Journal of Integrative Biology|February 16, 2011
Determining and interpreting new predictive rules for breast cancer familial inheritanceStefania Tommasi, Giuseppina Iannelli, Filippo Menolascina, et al.
Sensors (Basel, Switzerland)|April 13, 2024
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial SensorsVladimiro Suglia, Lucia Palazzo, Vitoantonio Bevilacqua, et al.
BMC Bioinformatics|May 19, 2012
Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expressionVitoantonio Bevilacqua, Paolo Pannarale, Mirko Abbrescia, et al.
Frontiers in Oncology|May 11, 2023
Prediction of gastrointestinal cancers in the ONCONUT cohort study: comparison between logistic regression and artificial neural networkRossella Donghia, Vito Guerra, Giovanni Misciagna, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
BMC Bioinformatics|July 3, 2013
Scalable high-throughput identification of genetic targets by network filteringVitoantonio Bevilacqua, Paolo Pannarale
Scientific Reports|July 2, 2025
Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRIAnnachiara Cariola, Elena Sibilano, Andrea Guerriero, et al.
Frontiers in Neurorobotics|November 29, 2018
A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow JointsDomenico Buongiorno, Michele Barsotti, Francesco Barone, et al.
International Journal of Medical Informatics|March 29, 2025
Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinomaGian Maria Zaccaria, Nicola Altini, Valentina Mongelli, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 19, 2025
A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutationsFrancesco Berloco, Gian Maria Zaccaria, Nicola Altini, et al.
Genomics, Proteomics & Bioinformatics|November 1, 2008
Identification of tumor evolution patterns by means of inductive logic programmingVitoantonio Bevilacqua, Patrizia Chiarappa, Giuseppe Mastronardi, et al.
Omics : a Journal of Integrative Biology|February 16, 2011
Determining and interpreting new predictive rules for breast cancer familial inheritanceStefania Tommasi, Giuseppina Iannelli, Filippo Menolascina, et al.
Sensors (Basel, Switzerland)|April 13, 2024
A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial SensorsVladimiro Suglia, Lucia Palazzo, Vitoantonio Bevilacqua, et al.
BMC Bioinformatics|May 19, 2012
Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expressionVitoantonio Bevilacqua, Paolo Pannarale, Mirko Abbrescia, et al.
Frontiers in Oncology|May 11, 2023
Prediction of gastrointestinal cancers in the ONCONUT cohort study: comparison between logistic regression and artificial neural networkRossella Donghia, Vito Guerra, Giovanni Misciagna, et al.
Pageof 6