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Massimo Esposito
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2020 – today
- 2024
- [j58]Ciro Mennella, Massimo Esposito, Giuseppe De Pietro, Umberto Maniscalco:
Promoting fairness in activity recognition algorithms for patient's monitoring and evaluation systems in healthcare. Comput. Biol. Medicine 179: 108826 (2024) - [j57]Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
Modeling rehabilitation dataset to implement effective AI assistive systems. Discov. Artif. Intell. 4(1): 43 (2024) - [j56]Raffaele Guarasci, Rosario Catelli, Massimo Esposito:
Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language. Expert Syst. Appl. 252: 124131 (2024) - [j55]Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum transfer learning for acceptability judgements. Quantum Mach. Intell. 6(1): 13 (2024) - [j54]Umberto Maniscalco, Aniello Minutolo, Pietro Storniolo, Massimo Esposito:
Towards a more anthropomorphic interaction with robots in museum settings: An experimental study. Robotics Auton. Syst. 171: 104561 (2024) - [c61]Raffaele Guarasci, Stefano Silvestri, Massimo Esposito:
Probing Cross-lingual Transfer of XLM Multi-language Model. EIDWT 2024: 219-228 - [i1]Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum Transfer Learning for Acceptability Judgements. CoRR abs/2401.07777 (2024) - 2023
- [j53]Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review. IEEE Access 11: 11024-11043 (2023) - [j52]Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
A New Italian Cultural Heritage Data Set: Detecting Fake Reviews With BERT and ELECTRA Leveraging the Sentiment. IEEE Access 11: 52214-52225 (2023) - [j51]Rosario Catelli, Serena Pelosi, Carmela Comito, Clara Pizzuti, Massimo Esposito:
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy. Comput. Biol. Medicine 158: 106876 (2023) - [j50]Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions. Comput. Biol. Medicine 166: 107485 (2023) - [j49]Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito:
Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation. Comput. Biol. Medicine 167: 107665 (2023) - [j48]Ioanna Giorgi, Bruno Golosio, Massimo Esposito, Angelo Cangelosi, Giovanni Luca Masala:
Conceptual development from the perspective of a brain-inspired robotic architecture. Cogn. Syst. Res. 82: 101151 (2023) - [j47]Marco Pota, Giuseppe De Pietro, Massimo Esposito:
Real-time anomaly detection on time series of industrial furnaces: A comparison of autoencoder architectures. Eng. Appl. Artif. Intell. 124: 106597 (2023) - [j46]Raffaele Guarasci, Stefano Silvestri, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Assessing BERT's ability to learn Italian syntax: a study on null-subject and agreement phenomena. J. Ambient Intell. Humaniz. Comput. 14(1): 289-303 (2023) - [c60]Patrizia Ribino, Antonio Coronato, Massimo Esposito, Muddasar Naeem:
Preface to the Proceedings of the 3rd International Workshop on Self-Learning in Intelligent Environments (SeLIE'23). Intelligent Environments (Workshops) 2023: 95-96 - 2022
- [j45]Marco Pota, Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, Massimo Esposito:
Betting on Yourself: A Decision Model for Human Resource Allocation Enriched With Self-Assessment of Soft Skills and Preferences. IEEE Access 10: 26859-26875 (2022) - [j44]Francesco Gargiulo, Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
An ELECTRA-Based Model for Neural Coreference Resolution. IEEE Access 10: 75144-75157 (2022) - [j43]Massimo Esposito, Hamido Fujita, Aniello Minutolo, Marco Pota:
Special issue "Deep Learning for Natural Language Processing: Emerging methods and applications". Array 14: 100138 (2022) - [j42]Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
A conversational agent for querying Italian Patient Information Leaflets and improving health literacy. Comput. Biol. Medicine 141: 105004 (2022) - [j41]Raffaele Guarasci, Stefano Silvestri, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
BERT syntactic transfer: A computational experiment on Italian, French and English languages. Comput. Speech Lang. 71: 101261 (2022) - [j40]Marco Pota, Gaetano Pecoraro, Guido Rianna, Alfredo Reder, Michele Calvello, Massimo Esposito:
Machine learning for the definition of landslide alert models: a case study in Campania region, Italy. Discov. Artif. Intell. 2(1) (2022) - [j39]Rosario Catelli, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
Cross lingual transfer learning for sentiment analysis of Italian TripAdvisor reviews. Expert Syst. Appl. 209: 118246 (2022) - [j38]Rosario Catelli, Hamido Fujita, Giuseppe De Pietro, Massimo Esposito:
Deceptive reviews and sentiment polarity: Effective link by exploiting BERT. Expert Syst. Appl. 209: 118290 (2022) - [j37]Giovanni Luca Masala, Massimo Esposito, Umberto Maniscalco, Andrea Calimera:
Editorial: Language and Vision in Robotics: Emerging Neural and On-Device Approaches. Frontiers Comput. Sci. 4: 930067 (2022) - [j36]Massimo Esposito, Giovanni Luca Masala, Aniello Minutolo, Marco Pota:
Special Issue "Natural Language Engineering: Methods, Tasks and Applications". Future Internet 14(4): 106 (2022) - [j35]Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language. Neural Comput. Appl. 34(24): 22493-22518 (2022) - 2021
- [j34]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records. IEEE Access 9: 19097-19110 (2021) - [j33]Raffaele Guarasci, Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
ELECTRA for Neural Coreference Resolution in Italian. IEEE Access 9: 115643-115654 (2021) - [j32]Marco Pota, Mirko Ventura, Hamido Fujita, Massimo Esposito:
Multilingual evaluation of pre-processing for BERT-based sentiment analysis of tweets. Expert Syst. Appl. 181: 115119 (2021) - [j31]Rosario Catelli, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification. Knowl. Based Syst. 213: 106649 (2021) - [j30]Marco Pota, Mirko Ventura, Rosario Catelli, Massimo Esposito:
An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian. Sensors 21(1): 133 (2021) - [j29]Ioanna Giorgi, Bruno Golosio, Massimo Esposito, Angelo Cangelosi, Giovanni Luca Masala:
Modeling Multiple Language Learning in a Developmental Cognitive Architecture. IEEE Trans. Cogn. Dev. Syst. 13(4): 922-933 (2021) - [c59]Rosario Catelli, Francesco Gargiulo, Emanuele Damiano, Massimo Esposito, Giuseppe De Pietro:
Clinical de-identification using sub-document analysis and ELECTRA. ICDH 2021: 266-275 - 2020
- [j28]Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito:
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. Appl. Soft Comput. 97(Part): 106779 (2020) - [j27]Raffaele Guarasci, Emanuele Damiano, Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Lexicon-Grammar based open information extraction from natural language sentences in Italian. Expert Syst. Appl. 143 (2020) - [j26]Massimo Esposito, Giovanni Luca Masala, Bruno Golosio, Angelo Cangelosi:
Editorial: Language Representation and Learning in Cognitive and Artificial Intelligence Systems. Frontiers Robotics AI 7: 69 (2020) - [j25]Massimo Esposito, Emanuele Damiano, Aniello Minutolo, Giuseppe De Pietro, Hamido Fujita:
Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering. Inf. Sci. 514: 88-105 (2020) - [j24]Giuseppe Caggianese, Giuseppe De Pietro, Massimo Esposito, Luigi Gallo, Aniello Minutolo, Pietro Neroni:
Discovering Leonardo with artificial intelligence and holograms: A user study. Pattern Recognit. Lett. 131: 361-367 (2020)
2010 – 2019
- 2019
- [j23]Marco Pota, Massimo Esposito, Rosario Megna, Giuseppe De Pietro, Mario Quarantelli, Vincenzo Brescia Morra, Bruno Alfano:
Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis. Biomed. Signal Process. Control. 53 (2019) - [j22]Marco Pota, Fiammetta Marulli, Massimo Esposito, Giuseppe De Pietro, Hamido Fujita:
Multilingual POS tagging by a composite deep architecture based on character-level features and on-the-fly enriched Word Embeddings. Knowl. Based Syst. 164: 309-323 (2019) - [j21]Giuseppe Caggianese, Salvatore Cuomo, Massimo Esposito, Marco Franceschini, Luigi Gallo, Francesco Infarinato, Aniello Minutolo, Francesco Piccialli, Paola Romano:
Serious Games and In-Cloud Data Analytics for the Virtualization and Personalization of Rehabilitation Treatments. IEEE Trans. Ind. Informatics 15(1): 517-526 (2019) - [c58]Raffaele Guarasci, Emanuele Damiano, Aniello Minutolo, Massimo Esposito:
When Lexicon-Grammar Meets Open Information Extraction: a Computational Experiment for Italian Sentences. CLiC-it 2019 - [c57]Raffaele Guarasci, Emanuele Damiano, Aniello Minutolo, Massimo Esposito:
Towards a gold standard dataset for Open Information Extraction in Italian. SNAMS 2019: 447-453 - 2018
- [j20]Massimo Esposito, Aniello Minutolo, Rosario Megna, Manolo Forastiere, Mario Magliulo, Giuseppe De Pietro:
A smart mobile, self-configuring, context-aware architecture for personal health monitoring. Eng. Appl. Artif. Intell. 67: 136-156 (2018) - [j19]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Likelihood-fuzzy analysis: From data, through statistics, to interpretable fuzzy classifiers. Int. J. Approx. Reason. 93: 88-102 (2018) - [c56]Marco Pota, Massimo Esposito, Marco A. Palomino, Giovanni Luca Masala:
A Subword-Based Deep Learning Approach for Sentiment Analysis of Political Tweets. AINA Workshops 2018: 651-656 - [c55]Emanuele Damiano, Aniello Minutolo, Massimo Esposito:
Open Information Extraction for Italian Sentences. AINA Workshops 2018: 668-673 - [c54]Fiammetta Marulli, Marco Pota, Massimo Esposito:
A Comparison of Character and Word Embeddings in Bidirectional LSTMs for POS Tagging in Italian. IIMSS 2018: 14-23 - [c53]Marco Pota, Massimo Esposito:
Question Classification by Convolutional Neural Networks Embodying Subword Information. IJCNN 2018: 1-7 - 2017
- [j18]Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Alessia Farneti, Giovanni Mauro Cattaneo, Giovanna Rizzo, Massimo Esposito:
Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification. Artif. Intell. Medicine 81: 41-53 (2017) - [j17]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Optimization of rule-based systems in mHealth applications. Eng. Appl. Artif. Intell. 59: 103-121 (2017) - [j16]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Designing rule-based fuzzy systems for classification in medicine. Knowl. Based Syst. 124: 105-132 (2017) - [c52]Emanuele Damiano, Aniello Minutolo, Stefano Silvestri, Massimo Esposito:
Query Expansion Based on WordNet and Word2vec for Italian Question Answering Systems. 3PGCIC 2017: 301-313 - [c51]Fiammetta Marulli, Marco Pota, Massimo Esposito, Alessandro Maisto, Raffaele Guarasci:
Tuning SyntaxNet for POS Tagging Italian Sentences. 3PGCIC 2017: 314-324 - [c50]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Learning to rank answers to closed-domain questions by using fuzzy logic. FUZZ-IEEE 2017: 1-6 - [c49]Emanuele Damiano, Raffaele Spinelli, Massimo Esposito, Giuseppe De Pietro:
An Effective Corpus-Based Question Answering Pipeline for Italian. IIMSS 2017: 80-90 - [c48]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A Conversational Chatbot Based on Kowledge-Graphs for Factoid Medical Questions. SoMeT 2017: 139-152 - [c47]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Convolutional Neural Networks for Question Classification in Italian Language. SoMeT 2017: 604-615 - 2016
- [j15]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A fuzzy framework for encoding uncertainty in clinical decision-making. Knowl. Based Syst. 98: 95-116 (2016) - [c46]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Fuzzy on FHIR: a Decision Support service for Healthcare Applications. 3PGCIC 2016: 163-172 - [c45]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Interpretability indexes for Fuzzy classification in cognitive systems. FUZZ-IEEE 2016: 24-31 - [c44]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
A Forward-Selection Algorithm for SVM-Based Question Classification in Cognitive Systems. IIMSS 2016: 587-598 - [c43]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A Hypothetical Reasoning System for Mobile Health and Wellness Applications. MobiHealth 2016: 278-286 - [c42]Maria Mercorella, Mario Ciampi, Massimo Esposito, Angelo Esposito, Giuseppe De Pietro:
An Architectural Model for Extracting FHIR Resources from CDA Documents. SITIS 2016: 597-603 - [c41]Emanuele Damiano, Raffaele Spinelli, Massimo Esposito, Giuseppe De Pietro:
Towards a Framework for Closed-Domain Question Answering in Italian. SITIS 2016: 604-611 - [c40]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Interval type-2 fuzzy DSS for unbiased medical diagnosis. SMC 2016: 3340-3345 - [c39]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A hybrid reasoning system for mobile and intelligent health services. SMC 2016: 3399-3404 - 2015
- [j14]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Design and validation of a light-weight reasoning system to support remote health monitoring applications. Eng. Appl. Artif. Intell. 41: 232-248 (2015) - [j13]Flora Amato, Giuseppe De Pietro, Massimo Esposito, Nicola Mazzocca:
An integrated framework for securing semi-structured health records. Knowl. Based Syst. 79: 99-117 (2015) - [c38]Marco Pota, Angela Fuggi, Massimo Esposito, Giuseppe De Pietro:
Extracting Compact Sets of Features for Question Classification in Cognitive Systems: A Comparative Study. 3PGCIC 2015: 551-556 - [c37]Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Maria Luisa Belli, Giovanni Mauro Cattaneo, Massimo Esposito, Giovanna Rizzo:
A Composite Model for Classifying Parotid Shrinkage in Radiotherapy Patients Using Heterogeneous Data. AIME 2015: 257-266 - [c36]Marco Pota, Massimo Esposito:
Insights into Interpretability of Neuro-Fuzzy Systems. IFSA-EUSFLAT 2015 - [c35]Valentina Russo, Mario Ciampi, Massimo Esposito:
A Business Process Model for Integrated Home Care. EUSPN/ICTH 2015: 300-307 - 2014
- [j12]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Fuzzy partitioning for clinical DSSs using statistical information transformed into possibility-based knowledge. Knowl. Based Syst. 67: 1-15 (2014) - [c34]Aniello Minutolo, Angelo Esposito, Mario Ciampi, Massimo Esposito, Giorgio Cassetti:
An Automatic Method for Deriving OWL Ontologies from XML Documents. 3PGCIC 2014: 426-431 - [c33]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
An ontology-based fuzzy approach for encoding cognitive processes in medical decision making. CogInfoCom 2014: 397-402 - [c32]Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Maria Luisa Belli, Giovanni Mauro Cattaneo, Massimo Esposito, Giovanna Rizzo:
Likelihood-Fuzzy Analysis of Parotid Gland Shrinkage in Radiotherapy Patients. InMed 2014: 360-369 - 2013
- [j11]Antonio d'Acierno, Massimo Esposito, Giuseppe De Pietro:
An extensible six-step methodology to automatically generate fuzzy DSSs for diagnostic applications. BMC Bioinform. 14(S-1): S4 (2013) - [j10]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Transforming probability distributions into membership functions of fuzzy classes: A hypothesis test approach. Fuzzy Sets Syst. 233: 52-73 (2013) - [j9]Massimo Esposito, Giuseppe De Pietro:
Interval type-2 fuzzy logic for encoding clinical practice guidelines. Knowl. Based Syst. 54: 329-341 (2013) - [c31]Flora Amato, Nicola Mazzocca, Giuseppe De Pietro, Massimo Esposito:
A System for Semantic-Based Access Control. 3PGCIC 2013: 442-446 - [c30]Marco Iannaccone, Massimo Esposito, Giuseppe De Pietro:
GLM-CDS: A Standards-Based Verifiable Guideline Model for Decision Support in Clinical Applications. KR4HC/ProHealth 2013: 143-157 - [c29]Marco Iannaccone, Massimo Esposito, Giuseppe De Pietro:
A Hybrid Approach for the Verification of Integrity Constraints in Clinical Practice Guidelines. HAIS 2013: 81-91 - [c28]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A Hybrid Inference Approach for Building Fuzzy DSSs Based on Clinical Guidelines. HAIS 2013: 269-279 - [c27]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Best Fuzzy Partitions to Build Interpretable DSSs for Classification in Medicine. HAIS 2013: 558-567 - [c26]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Encoding Clinical Recommendations into Fuzzy DSSs: An Application to COPD Guidelines. KICSS 2013: 345-357 - [c25]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Approximation of Statistical Information with Fuzzy Models for Classification in Medicine. KICSS 2013: 359-371 - [c24]Marco Iannaccone, Massimo Esposito:
Formal Specification of Temporal Constraints in Clinical Practice Guidelines. KICSS 2013: 373-386 - [c23]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A multi-level fuzzy inference system for developing DSS based on clinical guidelines. SoMeT 2013: 75-81 - 2012
- [j8]Massimo Esposito, Domenico Maisto:
Structural verification through similarity measures for fuzzy rule bases representing clinical guidelines. J. Intell. Fuzzy Syst. 23(6): 313-326 (2012) - [j7]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A pattern-based knowledge editing system for building clinical Decision Support Systems. Knowl. Based Syst. 35: 120-131 (2012) - [j6]Gennaro Della Vecchia, Luigi Gallo, Massimo Esposito, Antonio Coronato:
An infrastructure for smart hospitals. Multim. Tools Appl. 59(1): 341-362 (2012) - [j5]Sara Colantonio, Massimo Esposito, Massimo Martinelli, Giuseppe De Pietro, Ovidio Salvetti:
A Knowledge Editing Service for Multisource Data Management in Remote Health Monitoring. IEEE Trans. Inf. Technol. Biomed. 16(6): 1096-1104 (2012) - [c22]Flavio Frattini, Massimo Esposito, Giuseppe De Pietro:
MobiFuzzy: A Fuzzy Library to Build Mobile DSSs for Remote Patient Monitoring. AIS 2012: 79-86 - [c21]Eugenio Cesario, Massimo Esposito, Giuseppe De Pietro, Domenico Talia:
A Consistency Checker for verifying the knowledge encoded into clinical DSSs. CBMS 2012: 1-6 - [c20]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Development and customization of individualized mobile healthcare applications. CogInfoCom 2012: 321-326 - [c19]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
KETO: A Knowledge Editing Tool for Encoding Condition - Action Guidelines into Clinical DSSs. HAIS (1) 2012: 352-364 - [c18]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
From Likelihood Uncertainty to Fuzziness: A Possibility-Based Approach for Building Clinical DSSs. HAIS (2) 2012: 369-380 - [c17]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Hybridization of possibility theory and supervised clustering to build DSSs for classification in medicine. HIS 2012: 490-495 - [c16]Eugenio Cesario, Massimo Esposito, Giuseppe De Pietro, Domenico Talia:
Verification of clinical guidelines encoded into knowledge-based DSSs. IEEE Conf. of Intelligent Systems 2012: 264-269 - [c15]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A Fuzzy Decision Support Language for Building Mobile DSSs for Healthcare Applications. MobiHealth 2012: 263-270 - [c14]Domenico Maisto, Massimo Esposito:
Improving Accuracy and Interpretability of Clinical Decision Support Systems through Possibilistic Constrained Evolutionary Optimization. SITIS 2012: 474-481 - [c13]Eugenio Cesario, Massimo Esposito:
A Knowledge-based Method for Verifying the Reliability of Clinical DSSs. SITIS 2012: 489-495 - 2011
- [j4]Massimo Esposito, Giuseppe De Pietro:
An ontology-based fuzzy decision support system for multiple sclerosis. Eng. Appl. Artif. Intell. 24(8): 1340-1354 (2011) - [j3]Massimo Esposito, Ivanoe De Falco, Giuseppe De Pietro:
An evolutionary-fuzzy DSS for assessing health status in multiple sclerosis disease. Int. J. Medical Informatics 80(12): e245-e254 (2011) - [c12]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Transformation of probability distribution into fuzzy set interpretable with likelihood view. HIS 2011: 91-96 - [c11]Sara Colantonio, Massimo Martinelli, Ovidio Salvetti, Giuseppe De Pietro, Massimo Esposito, Alberto Machì:
Knowledge based Decision Support for the Management of Chronic Patients. KEOD 2011: 220-225 - [c10]Sara Colantonio, Giuseppe De Pietro, Massimo Esposito, Alberto Machì, Massimo Martinelli, Ovidio Salvetti:
Decision Support for the Remote Management of Chronic Patients. MobiHealth 2011: 38-45 - [c9]