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2020 – today
- 2024
[j105]Raffaele Dubbioso
, Myriam Spisto, Laura Verde, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Giuseppe De Pietro, Ivanoe De Falco, Giovanna Sannino:
Precision medicine in ALS: Identification of new acoustic markers for dysarthria severity assessment. Biomed. Signal Process. Control. 89: 105706 (2024)- [j104]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) - [j103]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) - [j102]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino:
Retraction Note: Evaluation of artificial intelligence techniques for the classification of different activities of daily living and falls. Neural Comput. Appl. 36(28): 17755 (2024) - [j101]Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum transfer learning for acceptability judgements. Quantum Mach. Intell. 6(1): 13 (2024) - [i5]Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum Transfer Learning for Acceptability Judgements. CoRR abs/2401.07777 (2024) - 2023
- [j100]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) - [j99]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) - [j98]Syed Ihtesham Hussain Shah, Giuseppe De Pietro, Giovanni Paragliola, Antonio Coronato:
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes. Appl. Intell. 53(11): 14072-14084 (2023) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino:
Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approach. Neural Comput. Appl. 35(22): 16061-16071 (2023) - [j92]Valentina Brancato, Nadia Brancati, Giusy Esposito, Massimo La Rosa, Carlo Cavaliere, Ciro Allarà, Valeria Romeo, Giuseppe De Pietro, Marco Salvatore, Marco Aiello, Mara Sangiovanni:
A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer. Sensors 23(3): 1552 (2023) - 2022
- [j91]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) - [j90]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) - [j89]Syed Ihtesham Hussain Shah, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro:
Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning. IEEE Access 10: 78148-78158 (2022) - [j88]Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci:
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. Database J. Biol. Databases Curation 2022(2022) (2022) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]Pushpak Pati, Guillaume Jaume, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani:
Hierarchical graph representations in digital pathology. Medical Image Anal. 75: 102264 (2022) - [j82]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) - [j81]Muddasar Naeem, Giuseppe De Pietro, Antonio Coronato:
Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. Sensors 22(1): 309 (2022) - [j80]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino:
A Two-Step Approach for Classification in Alzheimer's Disease. Sensors 22(11): 3966 (2022) - [j79]Laura Verde, Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Giovanna Sannino:
A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments. ACM Trans. Internet Techn. 22(1): 8:1-8:16 (2022) - [c141]Vadim Peretokin, Ioannis Basdekis, Ioannis N. Kouris, Jonatan Maggesi, Mario Sicuranza, Qiqi Su, Alberto Acebes, Anca Bucur, Vinod Jaswanth Roy Mukkala, Konstantin Pozdniakov, Christos Kloukinas, Dimitrios D. Koutsouris, Eleftheria Iliadou, Ioannis Leontsinis, Luigi Gallo, Giuseppe De Pietro, George Spanoudakis:
Overview of the SMART-BEAR Technical Infrastructure. ICT4AWE 2022: 117-125 - [c140]Qiqi Su, Vadim Peretokin, Ioannis Basdekis, Ioannis N. Kouris, Jonatan Maggesi, Mario Sicuranza, Alberto Acebes, Anca Bucur, Vinod Jaswanth Roy Mukkala, Konstantin Pozdniakov, Christos Kloukinas, Dimitrios D. Koutsouris, Eleftheria Iliadou, Ioannis Leontsinis, Luigi Gallo, Giuseppe De Pietro, George Spanoudakis:
The SMART BEAR Project: An Overview of Its Infrastructure. ICT4AWE (Revised Selected Papers) 2022: 408-425 - 2021
- [j78]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) - [j77]Laura Verde, Giuseppe De Pietro, Ahmed Ghoneim, Mubarak Alrashoud, Khaled N. Al-Mutib, Giovanna Sannino:
Exploring the Use of Artificial Intelligence Techniques to Detect the Presence of Coronavirus Covid-19 Through Speech and Voice Analysis. IEEE Access 9: 65750-65757 (2021) - [j76]Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria Frucci:
Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks. IEEE Access 9: 87552-87562 (2021) - [j75]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) - [j74]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) - [c139]Giovanna Sannino, Giuseppe De Pietro, Ivanoe De Falco:
Automatic Extraction of Interpretable Knowledge to Predict the Survival of Patients with Heart Failure. CHASE 2021: 166-173 - [c138]Rosario Catelli, Francesco Gargiulo, Emanuele Damiano, Massimo Esposito, Giuseppe De Pietro:
Clinical de-identification using sub-document analysis and ELECTRA. ICDH 2021: 266-275 - [c137]Syed Ihtesham Hussain Shah, Giuseppe De Pietro:
An Overview of Inverse Reinforcement Learning Techniques. Intelligent Environments (Workshops) 2021: 202-212 - [i4]Nadia Brancati, Giuseppe De Pietro, Daniel Riccio, Maria Frucci:
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks. CoRR abs/2101.09992 (2021) - [i3]Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani:
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology. CoRR abs/2102.11057 (2021) - [i2]Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, Daniel Riccio, Giosuè Scognamiglio, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito, Antonio Foncubierta, Gerardo Botti, Maria Gabrani, Florinda Feroce, Maria Frucci:
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images. CoRR abs/2111.04740 (2021) - 2020
- [j73]Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola:
Reinforcement learning for intelligent healthcare applications: A survey. Artif. Intell. Medicine 109: 101964 (2020) - [j72]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) - [j71]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) - [j70]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) - [j69]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
Non-Invasive Risk Stratification of Hypertension: A Systematic Comparison of Machine Learning Algorithms. J. Sens. Actuator Networks 9(3): 34 (2020) - [j68]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) - [c136]Muddasar Naeem, Giovanni Paragliola, Antonio Coronato, Giuseppe De Pietro:
A CNN based monitoring system to minimize medication errors during treatment process at home. APPIS 2020: 27:1-27:5 - [c135]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
Photoplethysmography and Machine Learning for the Hypertension Risk Stratification. GLOBECOM (Workshops) 2020: 1-6 - [c134]Muddasar Naeem, Antonio Coronato, Giovanni Paragliola, Giuseppe De Pietro:
A Reinforcement Learning and IoT based System to Assist Patients with Disabilities. IoTBDS 2020: 491-498 - [c133]Stefano Silvestri, Francesco Gargiulo, Mario Ciampi, Giuseppe De Pietro:
Exploit Multilingual Language Model at Scale for ICD-10 Clinical Text Classification. ISCC 2020: 1-7 - [c132]Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. UNSURE/GRAIL@MICCAI 2020: 208-219 - [c131]Mario Ciampi, Giuseppe De Pietro, Elio Masciari, Stefano Silvestri:
Health Data Information Retrieval For Improved Simulation. PDP 2020: 364-368 - [c130]Mario Ciampi, Giuseppe De Pietro, Elio Masciari, Stefano Silvestri:
Some lessons learned using health data literature for smart information retrieval. SAC 2020: 931-934 - [p3]Giovanna Sannino, Giuseppe De Pietro, Laura Verde:
Healthcare Systems: An Overview of the Most Important Aspects of Current and Future m-Health Applications. Connected Health in Smart Cities 2020: 213-231 - [i1]Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, Maria Gabrani:
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification. CoRR abs/2007.00584 (2020)
2010 – 2019
- 2019
- [j67]Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Daniel Riccio:
A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images. IEEE Access 7: 44709-44720 (2019) - [j66]Laura Verde, Giuseppe De Pietro, Mubarak Alrashoud, Ahmed Ghoneim, Khaled N. Al-Mutib, Giovanna Sannino:
Dysphonia Detection Index (DDI): A New Multi-Parametric Marker to Evaluate Voice Quality. IEEE Access 7: 55689-55697 (2019) - [j65]Laura Verde, Giuseppe De Pietro, Mubarak Alrashoud, Ahmed Ghoneim, Khaled N. Al-Mutib, Giovanna Sannino:
Leveraging Artificial Intelligence to Improve Voice Disorder Identification Through the Use of a Reliable Mobile App. IEEE Access 7: 124048-124054 (2019) - [j64]Francesco Gargiulo, Stefano Silvestri, Mario Ciampi, Giuseppe De Pietro:
Deep neural network for hierarchical extreme multi-label text classification. Appl. Soft Comput. 79: 125-138 (2019) - [j63]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) - [j62]Laura Verde, Giuseppe De Pietro:
A neural network approach to classify carotid disorders from Heart Rate Variability analysis. Comput. Biol. Medicine 109: 226-234 (2019) - [j61]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino:
Evolution-based configuration optimization of a Deep Neural Network for the classification of Obstructive Sleep Apnea episodes. Future Gener. Comput. Syst. 98: 377-391 (2019) - [j60]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
Towards a cyber physical system for personalised and automatic OSA treatment. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 156-163 (2019) - [j59]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) - [j58]Giovanna Sannino, Nizar Bouguila, Giuseppe De Pietro, Antonio Celesti:
Artificial Intelligence for Mobile Health Data Analysis and Processing. Mob. Inf. Syst. 2019: 2673463:1-2673463:2 (2019) - [j57]Kyis Essmaeel, Cyrille Migniot, Albert Dipanda, Luigi Gallo, Ernesto Damiani, Giuseppe De Pietro:
A new 3D descriptor for human classification: application for human detection in a multi-kinect system. Multim. Tools Appl. 78(16): 22479-22508 (2019) - [j56]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems. IEEE Trans. Ind. Informatics 15(1): 498-506 (2019) - [c129]Mario Ciampi, Elio Masciari, Giuseppe De Pietro, Stefano Silvestri:
A Big Data Approach for Health Data Information Retrieval. BIBM 2019: 2533-2540 - [c128]Laura Verde, Giuseppe De Pietro:
An Objective Measure of Carotid Disease Based on a Multiparameter Approach. CBMS 2019: 584-587 - [c127]Stefano Silvestri, Angelo Esposito, Francesco Gargiulo, Mario Sicuranza, Mario Ciampi, Giuseppe De Pietro:
A Big Data Architecture for the Extraction and Analysis of EHR Data. SERVICES 2019: 283-288 - [e5]Giuseppe De Pietro, Luigi Gallo, Robert J. Howlett, Lakhmi C. Jain, Ljubo B. Vlacic:
Intelligent Interactive Multimedia Systems and Services, Proceedings of 2018 Conference, KES IIMSS 2018, Gold Cost, Australia, 20-22 June 2018, Proceedings. Smart Innovation, Systems and Technologies 98, Springer 2019, ISBN 978-3-319-92230-0 [contents] - 2018
- [j55]Laura Verde, Giuseppe De Pietro, Giovanna Sannino:
Voice Disorder Identification by Using Machine Learning Techniques. IEEE Access 6: 16246-16255 (2018) - [j54]Laura Verde, Giuseppe De Pietro, Giovanna Sannino:
A methodology for voice classification based on the personalized fundamental frequency estimation. Biomed. Signal Process. Control. 42: 134-144 (2018) - [j53]Ugo Cesari, Giuseppe De Pietro, Elio Marciano, Ciro Niri, Giovanna Sannino, Laura Verde:
A new database of healthy and pathological voices. Comput. Electr. Eng. 68: 310-321 (2018) - [j52]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) - [j51]Giovanna Sannino, Giuseppe De Pietro:
A deep learning approach for ECG-based heartbeat classification for arrhythmia detection. Future Gener. Comput. Syst. 86: 446-455 (2018) - [j50]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) - [c126]Giuseppe Caggianese, Andrea Chirico, Giuseppe De Pietro, Luigi Gallo, Antonio Giordano, Marco Predazzi, Pietro Neroni:
Towards a Virtual Reality Cognitive Training System for Mild Cognitive Impairment and Alzheimer's Disease Patients. AINA Workshops 2018: 663-667 - [c125]Mario Ciampi, Angelo Esposito, Giuseppe De Pietro, Elio Masciari, Mario Sicuranza:
Big Data and Health Care: a lesson learned. BIBM 2018: 2068-2075 - [c124]Ivanoe De Falco, Giuseppe De Pietro, Antonio Della Cioppa, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino:
Preliminary Steps towards Efficient Classification in Large Medical Datasets: Structure Optimization for Deep Learning Networks through Parallelized Differential Evolution. HEALTHINF 2018: 633-640 - [c123]Laura Verde, Giuseppe De Pietro:
A Machine Learning Approach for Carotid Diseases using Heart Rate Variability Features. HEALTHINF 2018: 658-664 - [c122]Ivanoe De Falco, Giuseppe De Pietro, Giovanna Sannino, Umberto Scafuri, Ernesto Tarantino, Antonio Della Cioppa, Giuseppe A. Trunfio:
Deep Neural Network Hyper-Parameter Setting for Classification of Obstructive Sleep Apnea Episodes. ISCC 2018: 1187-1192 - [c121]Giovanni Paragliola, Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro:
A Reinforcement Learning-Based Approach for the Risk Management of e-Health Environments: A Case Study. SITIS 2018: 711-716 - [e4]Giuseppe De Pietro, Luigi Gallo, Robert J. Howlett, Lakhmi C. Jain:
Intelligent Interactive Multimedia Systems and Services 2017, KES IIMSS 2017, Vilamoura, Portugal, 21-23 June 2017, Proceedings. Smart Innovation, Systems and Technologies 76, Springer 2018, ISBN 978-3-319-59479-8 [contents] - 2017
- [j49]Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Luigi Gallo:
Human skin detection through correlation rules between the YCb and YCr subspaces based on dynamic color clustering. Comput. Vis. Image Underst. 155: 33-42 (2017) - [j48]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Optimization of rule-based systems in mHealth applications. Eng. Appl. Artif. Intell. 59: 103-121 (2017) - [j47]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Designing rule-based fuzzy systems for classification in medicine. Knowl. Based Syst. 124: 105-132 (2017) - [j46]Giovanna Sannino, Manolo Forastiere, Giuseppe De Pietro:
A Wellness Mobile Application for Smart Health: Pilot Study Design and Results. Sensors 17(3): 611 (2017) - [c120]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
A Statistical Analysis for the Evaluation of the Use of Wearable and Wireless Sensors for Fall Risk Reduction. HEALTHINF 2017: 508-516 - [c119]Salvatore Naddeo, Laura Verde, Manolo Forastiere, Giuseppe De Pietro, Giovanna Sannino:
A Real-time m-Health Monitoring System: An Integrated Solution Combining the Use of Several Wearable Sensors and Mobile Devices. HEALTHINF 2017: 545-552 - [c118]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Learning to rank answers to closed-domain questions by using fuzzy logic. FUZZ-IEEE 2017: 1-6 - [c117]Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro:
Detection of falling events through windowing and automatic extraction of sets of rules: Preliminary results. ICNSC 2017: 661-666 - [c116]Crescenzo Diomaiuta, Mario Sicuranza, Mario Ciampi, Giuseppe De Pietro:
A FHIR-based System for the Generation and Retrieval of Clinical Documents. ICT4AgeingWell 2017: 135-142 - [c115]Emanuele Damiano, Raffaele Spinelli, Massimo Esposito, Giuseppe De Pietro:
An Effective Corpus-Based Question Answering Pipeline for Italian. IIMSS 2017: 80-90 - [c114]Crescenzo Diomaiuta, Maria Mercorella, Mario Ciampi, Giuseppe De Pietro:
Medical Entity and Relation Extraction from Narrative Clinical Records in Italian Language. IIMSS 2017: 119-128 - [c113]Francesco Gargiulo, Stefano Silvestri, Mariarosaria Fontanella, Mario Ciampi, Giuseppe De Pietro:
A Deep Learning Approach for Scientific Paper Semantic Ranking. IIMSS 2017: 471-481 - [c112]Giuseppe Caggianese, Mariaconsiglia Calabrese, Vincenzo De Maio, Giuseppe De Pietro, Armando Faggiano, Luigi Gallo, Giovanna Sannino, Carmine Vecchione:
A Rehabilitation System for Post-operative Heart Surgery. IIMSS 2017: 554-564 - [c111]Crescenzo Diomaiuta, Maria Mercorella, Mario Ciampi, Giuseppe De Pietro:
A novel system for the automatic extraction of a patient problem summary. ISCC 2017: 182-186 - [c110]Seyed Amin Pouriyeh, Sara Vahid, Giovanna Sannino, Giuseppe De Pietro, Hamid R. Arabnia, Juan B. Gutierrez:
A comprehensive investigation and comparison of Machine Learning Techniques in the domain of heart disease. ISCC 2017: 204-207 - [c109]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A Conversational Chatbot Based on Kowledge-Graphs for Factoid Medical Questions. SoMeT 2017: 139-152 - [c108]Marco Pota, Massimo Esposito, Giuseppe De Pietro:
Convolutional Neural Networks for Question Classification in Italian Language. SoMeT 2017: 604-615 - 2016
- [j45]Salvatore Cuomo, Giuseppe De Pietro, Raffaele Farina, Ardelio Galletti, Giovanna Sannino:
A revised scheme for real time ECG Signal denoising based on recursive filtering. Biomed. Signal Process. Control. 27: 134-144 (2016) - [j44]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
A fuzzy framework for encoding uncertainty in clinical decision-making. Knowl. Based Syst. 98: 95-116 (2016) - [c107]Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro:
Fuzzy on FHIR: a Decision Support service for Healthcare Applications. 3PGCIC 2016: 163-172 - [c106]