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ORCIDDaniele Toti
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2020 – today
- 2024
[j22]Roberto Zanoli, Alberto Lavelli, Daniel Verdi do Amarante, Daniele Toti:
Assessment of the E3C corpus for the recognition of disorders in clinical texts. Nat. Lang. Eng. 30(4): 851-869 (2024)- [c31]Jorge Espin, Dong Zhang, Daniele Toti, Andrea Pozzi:
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. ACC 2024: 2224-2229 - [c30]Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Oskar Holtz, Otello Maria Roscioni, Francesco Antonio Zaccarini, Daniele Toti:
Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies. KEOD 2024: 135-142 - [c29]Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Daniele Toti, Francesco Antonio Zaccarini:
Top level ontologies: desirable characteristics in the context of materials science. SeMatS@SEMANTiCS 2024: 29-40 - [i1]Jorge Espin, Dong Zhang
, Daniele Toti, Andrea Pozzi:
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. CoRR abs/2406.15985 (2024) - 2023
- [j21]Andrea Pozzi, Daniele Toti:
Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. IEEE Access 11: 115190-115203 (2023) - [j20]Anne F. de Baas, Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Ilaria Maria Paponetti, Andrea Pozzi, Arkopaul Sarkar, Lan Yang, Francesco Antonio Zaccarini, Daniele Toti:
Review and Alignment of Domain-Level Ontologies for Materials Science. IEEE Access 11: 120372-120401 (2023) - [j19]Pierluigi Del Nostro, Gerhard Goldbeck, Andrea Pozzi, Daniele Toti:
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem. Appl. Ontology 18(2): 99-118 (2023) - [j18]Andrea Pozzi, Scott J. Moura, Daniele Toti:
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Comput. Chem. Eng. 173: 108222 (2023) - [j17]Andrea Pozzi, Enrico Barbierato, Daniele Toti:
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics 10(1): 5 (2023) - [j16]Andrea Pozzi, Enrico Barbierato, Daniele Toti:
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors 23(9): 4404 (2023) - 2022
- [j15]Pierluigi Del Nostro, Gerhard Goldbeck, Daniele Toti:
CHAMEO: An ontology for the harmonisation of materials characterisation methodologies. Appl. Ontology 17(3): 401-421 (2022) - [j14]Daniele Toti, Gabriele Macari, Enrico Barbierato, Fabio Polticelli:
FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank. Database J. Biol. Databases Curation 2022(2022) (2022) - [j13]Andrea Pozzi, Daniele Toti:
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries. Comput. Chem. Eng. 163: 107847 (2022) - [c28]Andrea Pozzi, Scott J. Moura, Daniele Toti:
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. CCTA 2022: 785-790 - [c27]Pierluigi Del Nostro, Gerhard Goldbeck, Daniele Toti:
The CHAMEO Ontology: Exploiting EMMO's Multiperspective Versatility for Capturing Materials Characterization Procedures. FOMI 2022 - [c26]Andrea Pozzi, Scott J. Moura, Daniele Toti:
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. ICCA 2022: 160-165 - 2021
- [c25]Gerhard Goldbeck, Daniele Toti:
MAEO: An Ontology for Modelling Agents, Experts and Expertise within an Open Online Materials Modelling MarketPlace. JOWO 2021 - [c24]Martin Thomas Horsch, Daniele Toti, Silvia Chiacchiera, Michael Seaton, Gerhard Goldbeck, Ilian T. Todorov:
OSMO: Ontology for Simulation, Modelling, and Optimization. JOWO 2021 - 2020
- [c23]Daniele Toti, Nicola Capuano, Fernanda Campos, Mario A. R. Dantas, Felipe Neves, Santi Caballé:
Detection of Student Engagement in e-Learning Systems Based on Semantic Analysis and Machine Learning. 3PGCIC 2020: 211-223 - [c22]Giuseppe Vella, Anastasios Dimou, David Gutiérrez-Pérez, Daniele Toti, Tommaso Nicoletti, Ernesto La Mattina, Francesco Grassi, Andrea Ciapetti, Michael McElligott, Nauman Shahid, Petros Daras:
SURVANT: An Innovative Semantics-Based Surveillance Video Archives Investigation Assistant. ICPR Workshops (7) 2020: 611-626 - [c21]Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov, Ralf Kunze, Georg Summer, Andreas Fiseni, Barbara Andreon, Andrea Scotto di Minico, Esteban Bayro Kaiser, Gajanan Kanagalingam, Simon Stephan, Karel Sindelka, Martin Lísal, Javier Díaz Brañas, Ignacio Pagonabarraga, Mara Chiricotto, Joshua D. Elliott, Paola Carbone, Daniele Toti, Gabriele Mogni, Gerhard Goldbeck, Hauke Brüning, Peter Schiffels, Welchy Leite Cavalcanti:
Ontology-based semantic interoperability on the Virtual Materials Marketplace. ISWC (Demos/Industry) 2020: 134-138
2010 – 2019
- 2019
- [j12]Nicola Capuano, Daniele Toti:
Experimentation of a smart learning system for law based on knowledge discovery and cognitive computing. Comput. Hum. Behav. 92: 459-467 (2019) - [j11]Gabriele Macari, Daniele Toti, Fabio Polticelli:
Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies. J. Comput. Aided Mol. Des. 33(10): 887-903 (2019) - [c20]Luigi Lomasto, Rosario Di Florio, Andrea Ciapetti, Giuseppe Miscione, Giulia Ruggiero, Daniele Toti:
An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool. ICEIS (Revised Selected Papers) 2019: 57-77 - [c19]Andrea Ciapetti, Rosario Di Florio, Luigi Lomasto, Giuseppe Miscione, Giulia Ruggiero, Daniele Toti:
NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies. ICEIS (1) 2019: 296-306 - [c18]Andrea Ciapetti, Giulia Ruggiero, Daniele Toti:
A Semantic Knowledge Discovery Framework for Detecting Online Terrorist Networks. MMM (2) 2019: 120-131 - 2018
- [j10]Daniele Toti, Gabriele Macari, Fabio Polticelli:
Protein-ligand binding site detection as an alternative route to molecular docking and drug repurposing. Bio Algorithms Med Syst. 14(2) (2018) - [j9]Daniele Toti, Le Viet Hung, Valentina Tortosa, Valentina Brandi, Fabio Polticelli:
LIBRA-WA: a web application for ligand binding site detection and protein function recognition. Bioinform. 34(5): 878-880 (2018) - [j8]Daniele Toti, Andrea Longhi:
SEMANTO: a graphical ontology management system for knowledge discovery. J. Ambient Intell. Humaniz. Comput. 9(4): 1075-1084 (2018) - [j7]Giuseppe D'Aniello, Matteo Gaeta, Francesca Loia, Marek Z. Reformat, Daniele Toti:
An Environment for Collective Perception based on Fuzzy and Semantic Approaches. J. Artif. Intell. Soft Comput. Res. 8(3): 191-210 (2018) - 2017
- [j6]Daniele Toti, Marco Rinelli:
RAN-Map: a system for automatically producing API layers from RDF schemas. J. Ambient Intell. Humaniz. Comput. 8(2): 291-299 (2017) - [j5]Elena Di Muzio, Daniele Toti, Fabio Polticelli:
DockingApp: a user friendly interface for facilitated docking simulations with AutoDock Vina. J. Comput. Aided Mol. Des. 31(2): 213-218 (2017) - 2016
- [c17]Daniele Toti, Marco Rinelli:
On the Road to Speed-Reading and Fast Learning with CONCEPTUM. INCoS 2016: 357-361 - 2015
- [j4]Le Viet Hung, Silvia Caprari, Massimiliano Bizai, Daniele Toti, Fabio Polticelli:
LIBRA: LIgand Binding site Recognition Application. Bioinform. 31(24): 4020-4022 (2015) - [j3]Nicola Capuano, Andrea Longhi, Saverio Salerno, Daniele Toti:
Ontology-driven Generation of Training Paths in the Legal Domain. Int. J. Emerg. Technol. Learn. 10(7): 14-22 (2015) - [c16]Daniele Toti, Marco Rinelli:
Semi-automatic Generation of an Object-Oriented API Framework over Semantic Repositories. INCoS 2015: 446-449 - [c15]Daniele Toti, Andrea Longhi:
A Visual Ontology Management System for Handling, Integrating and Enriching Semantic Repositories. INCoS 2015: 450-453 - 2014
- [j2]Silvia Caprari, Daniele Toti, Le Viet Hung, Maurizio Di Stefano, Fabio Polticelli:
ASSIST: a fast versatile local structural comparison tool. Bioinform. 30(7): 1022-1024 (2014) - [c14]Daniele Toti:
AQUEOS: A System for Question Answering over Semantic Data. INCoS 2014: 716-719 - [c13]Nicola Capuano, Carmen De Maio, Saverio Salerno, Daniele Toti:
A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases. WIMS 2014: 27:1-27:6 - 2013
- [c12]Pierluigi Del Nostro, Francesco Orciuoli, Stefano Paolozzi, Pierluigi Ritrovato, Daniele Toti:
ARISTOTELE: A Semantic-Driven Platform for Enterprise Management. AINA Workshops 2013: 44-49 - [c11]Gaia Arosio, Giuliana Bagnara, Nicola Capuano, Elisabetta Fersini, Daniele Toti:
Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems. JURIX 2013: 25-28 - [c10]Pierluigi Del Nostro, Angelo Gaeta, Stefano Paolozzi, Pierluigi Ritrovato, Daniele Toti:
ARISTOTELE: An Environment for Managing Knowledge-Intensive Enterprises. SEBD 2013: 289-296 - 2012
- [j1]Daniele Toti, Paolo Atzeni, Fabio Polticelli:
Automatic Protein Abbreviations Discovery and Resolution from Full-Text Scientific Papers: The PRAISED Framework. Bio Algorithms Med Syst. 8(1): 13-52 (2012) - [c9]Paolo Atzeni, Fabio Polticelli, Daniele Toti:
Knowledge Discovery from Textual Sources by using Semantic Similarity. SEBD 2012: 213-220 - [c8]Daniele Toti, Paolo Atzeni, Fabio Polticelli:
A Knowledge Discovery Methodology for Semantic Categorization of Unstructured Textual Sources. SITIS 2012: 944-951 - [c7]Pierluigi Del Nostro, Francesco Orciuoli, Stefano Paolozzi, Pierluigi Ritrovato, Daniele Toti:
A Semantic-Based Architecture for Managing Knowledge-Intensive Organizations: The ARISTOTELE Platform. WISE Workshops 2012: 133-146 - 2011
- [c6]Paolo Atzeni, Fabio Polticelli, Daniele Toti:
Experimentation of an automatic resolution method for protein abbreviations in full-text papers. BCB 2011: 465-467 - [c5]Paolo Atzeni, Fabio Polticelli, Daniele Toti:
An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers. EvoBio 2011: 171-176 - [c4]Paolo Atzeni, Fabio Polticelli, Daniele Toti:
A framework for semi-automatic identification, disambiguation and storage of protein-related abbreviations in scientific literature. ICDE Workshops 2011: 59-61 - [c3]Paolo Atzeni, Fabio Polticelli, Daniele Toti:
Automatic Discovery and Resolution of Protein Abbreviations from Full-Text Scientific Papers: A Light-Weight Approach Towards Data Extraction from Unstructured Biological Sources (Extended Abstract). SEBD 2011: 318-325 - 2010
- [c2]Paolo Atzeni, Giorgio Gianforme, Daniele Toti:
Polymorphism in Datalog and Inheritance in a Metamodel. FoIKS 2010: 114-132 - [c1]Paolo Atzeni, Giorgio Gianforme, Daniele Toti:
Polymorphism in Datalog and Inheritance in a Metamodel (Extended Abstract). SEBD 2010: 398-405
Coauthor Index
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last updated on 2024-12-18 19:21 CET by the dblp team
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