Polymorphism in Datalog and Inheritance in a Metamodel. - Paolo Atzeni; Giorgio Gianforme; Daniele Toti (FoIKS, 2010)

Polymorphism in Datalog and Inheritance in a Metamodel (Extended Abstract). - Paolo Atzeni; Giorgio Gianforme; Daniele Toti (SEBD, 2010)

Experimentation of an automatic resolution method for protein abbreviations in full-text papers. - Paolo Atzeni; Fabio Polticelli; Daniele Toti (BCB, 2011)

An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers. - Paolo Atzeni; Fabio Polticelli; Daniele Toti (EvoBio, 2011)

A framework for semi-automatic identification, disambiguation and storage of protein-related abbreviations in scientific literature. - Paolo Atzeni; Fabio Polticelli; Daniele Toti (ICDE Workshops, 2011)

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). - Paolo Atzeni; Fabio Polticelli; Daniele Toti (SEBD, 2011)

Knowledge Discovery from Textual Sources by using Semantic Similarity. - Paolo Atzeni; Fabio Polticelli; Daniele Toti (SEBD, 2012)

A Knowledge Discovery Methodology for Semantic Categorization of Unstructured Textual Sources. - Daniele Toti; Paolo Atzeni; Fabio Polticelli (SITIS, 2012)

A Semantic-Based Architecture for Managing Knowledge-Intensive Organizations: The ARISTOTELE Platform. - Pierluigi Del Nostro; Francesco Orciuoli; Stefano Paolozzi; Pierluigi Ritrovato; Daniele Toti (WISE Workshops, 2012)

Automatic Protein Abbreviations Discovery and Resolution from Full-Text Scientific Papers: The PRAISED Framework. - Daniele Toti; Paolo Atzeni; Fabio Polticelli (Bio Algorithms Med Syst., 2012)

ARISTOTELE: A Semantic-Driven Platform for Enterprise Management. - Pierluigi Del Nostro; Francesco Orciuoli; Stefano Paolozzi; Pierluigi Ritrovato; Daniele Toti (AINA Workshops, 2013)

Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems. - Gaia Arosio; Giuliana Bagnara; Nicola Capuano; Elisabetta Fersini; Daniele Toti (JURIX, 2013)

ARISTOTELE: An Environment for Managing Knowledge-Intensive Enterprises. - Pierluigi Del Nostro; Angelo Gaeta; Stefano Paolozzi; Pierluigi Ritrovato; Daniele Toti (SEBD, 2013)

AQUEOS: A System for Question Answering over Semantic Data. - Daniele Toti (INCoS, 2014)

A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases. - Nicola Capuano; Carmen De Maio; Saverio Salerno; Daniele Toti (WIMS, 2014)

ASSIST: a fast versatile local structural comparison tool. - Silvia Caprari; Daniele Toti; Le Viet Hung; Maurizio Di Stefano; Fabio Polticelli (Bioinform., 2014)

A Visual Ontology Management System for Handling, Integrating and Enriching Semantic Repositories. - Daniele Toti; Andrea Longhi (INCoS, 2015)

Semi-automatic Generation of an Object-Oriented API Framework over Semantic Repositories. - Daniele Toti; Marco Rinelli (INCoS, 2015)

LIBRA: LIgand Binding site Recognition Application. - Le Viet Hung; Silvia Caprari; Massimiliano Bizai; Daniele Toti; Fabio Polticelli (Bioinform., 2015)

Ontology-driven Generation of Training Paths in the Legal Domain. - Nicola Capuano; Andrea Longhi; Saverio Salerno; Daniele Toti (Int. J. Emerg. Technol. Learn., 2015)

On the Road to Speed-Reading and Fast Learning with CONCEPTUM. - Daniele Toti; Marco Rinelli (INCoS, 2016)

RAN-Map: a system for automatically producing API layers from RDF schemas. - Daniele Toti; Marco Rinelli (J. Ambient Intell. Humaniz. Comput., 2017)

DockingApp: a user friendly interface for facilitated docking simulations with AutoDock Vina. - Elena Di Muzio; Daniele Toti; Fabio Polticelli (J. Comput. Aided Mol. Des., 2017)

Protein-ligand binding site detection as an alternative route to molecular docking and drug repurposing. - Daniele Toti; Gabriele Macari; Fabio Polticelli (Bio Algorithms Med Syst., 2018)

LIBRA-WA: a web application for ligand binding site detection and protein function recognition. - Daniele Toti; Le Viet Hung; Valentina Tortosa; Valentina Brandi; Fabio Polticelli (Bioinform., 2018)

SEMANTO: a graphical ontology management system for knowledge discovery. - Daniele Toti; Andrea Longhi (J. Ambient Intell. Humaniz. Comput., 2018)

An Environment for Collective Perception based on Fuzzy and Semantic Approaches. - Giuseppe D'Aniello; Matteo Gaeta; Francesca Loia; Marek Z. Reformat; Daniele Toti (J. Artif. Intell. Soft Comput. Res., 2018)

NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies. - Andrea Ciapetti; Rosario Di Florio; Luigi Lomasto; Giuseppe Miscione; Giulia Ruggiero; Daniele Toti (ICEIS (1), 2019)

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool. - Luigi Lomasto; Rosario Di Florio; Andrea Ciapetti; Giuseppe Miscione; Giulia Ruggiero; Daniele Toti (ICEIS (Revised Selected Papers), 2019)

A Semantic Knowledge Discovery Framework for Detecting Online Terrorist Networks. - Andrea Ciapetti; Giulia Ruggiero; Daniele Toti (MMM (2), 2019)

Experimentation of a smart learning system for law based on knowledge discovery and cognitive computing. - Nicola Capuano; Daniele Toti (Comput. Hum. Behav., 2019)

Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies. - Gabriele Macari; Daniele Toti; Fabio Polticelli (J. Comput. Aided Mol. Des., 2019)

Detection of Student Engagement in e-Learning Systems Based on Semantic Analysis and Machine Learning. - Daniele Toti; Nicola Capuano; Fernanda Campos; Mario A. R. Dantas; Felipe Neves; Santi Caballé (3PGCIC, 2020)

SURVANT: An Innovative Semantics-Based Surveillance Video Archives Investigation Assistant. - Giuseppe Vella; Anastasios Dimou; David Gutiérrez-Pérez; Daniele Toti; Tommaso Nicoletti; Ernesto La Mattina; Francesco Grassi; Andrea Ciapetti; Michael McElligott; Nauman Shahid; Petros Daras (ICPR Workshops (7), 2020)

Ontology-based semantic interoperability on the Virtual Materials Marketplace. - 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; et al. (ISWC (Demos/Industry), 2020)

MAEO: An Ontology for Modelling Agents, Experts and Expertise within an Open Online Materials Modelling MarketPlace. - Gerhard Goldbeck; Daniele Toti (JOWO, 2021)

OSMO: Ontology for Simulation, Modelling, and Optimization. - Martin Thomas Horsch; Daniele Toti; Silvia Chiacchiera; Michael Seaton 001; Gerhard Goldbeck; Ilian T. Todorov (JOWO, 2021)

Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. - Andrea Pozzi; Scott J. Moura; Daniele Toti (CCTA, 2022)

The CHAMEO Ontology: Exploiting EMMO's Multiperspective Versatility for Capturing Materials Characterization Procedures. - Pierluigi Del Nostro; Gerhard Goldbeck; Daniele Toti (FOMI, 2022)

A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. - Andrea Pozzi; Scott J. Moura; Daniele Toti (ICCA, 2022)

CHAMEO: An ontology for the harmonisation of materials characterisation methodologies. - Pierluigi Del Nostro; Gerhard Goldbeck; Daniele Toti (Appl. Ontology, 2022)

FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank. - Daniele Toti; Gabriele Macari; Enrico Barbierato; Fabio Polticelli (Database J. Biol. Databases Curation, 2022)

Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries. - Andrea Pozzi; Daniele Toti (Comput. Chem. Eng., 2022)

Review and Alignment of Domain-Level Ontologies for Materials Science. - 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 (IEEE Access, 2023)

Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. - Andrea Pozzi; Daniele Toti (IEEE Access, 2023)

Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem. - Pierluigi Del Nostro; Gerhard Goldbeck; Andrea Pozzi; Daniele Toti (Appl. Ontology, 2023)

A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. - Andrea Pozzi; Scott J. Moura; Daniele Toti (Comput. Chem. Eng., 2023)

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. - Andrea Pozzi; Enrico Barbierato; Daniele Toti (Sensors, 2023)

Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. - Andrea Pozzi; Enrico Barbierato; Daniele Toti (Informatics, 2023)

Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. - Jorge Espin; Dong Zhang 011; Daniele Toti; Andrea Pozzi (ACC, 2024)

Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies. - Pierluigi Del Nostro; Jesper Friis; Emanuele Ghedini; Gerhard Goldbeck; Oskar Holtz; Otello Maria Roscioni; Francesco Antonio Zaccarini; Daniele Toti (KEOD, 2024)

Top level ontologies: desirable characteristics in the context of materials science. - Pierluigi Del Nostro; Jesper Friis; Emanuele Ghedini; Gerhard Goldbeck; Daniele Toti; Francesco Antonio Zaccarini (SeMatS@SEMANTiCS, 2024)

Assessment of the E3C corpus for the recognition of disorders in clinical texts. - Roberto Zanoli; Alberto Lavelli; Daniel Verdi do Amarante; Daniele Toti (Nat. Lang. Eng., 2024)

Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning. - Enrico Barbierato; Alice Gatti; Alessandro Incremona; Andrea Pozzi; Daniele Toti (IEEE Access, 2025)

Neural Network-Based Imitation Learning for Approximating Stochastic Battery Management Systems. - Andrea Pozzi; Alessandro Incremona; Daniele Toti (IEEE Access, 2025)

Mitigating exposure bias in large language model distillation: an imitation learning approach. - Andrea Pozzi; Alessandro Incremona; Daniele Tessera; Daniele Toti (Neural Comput. Appl., 2025)

Imitation learning-driven approximation of stochastic control models. - Andrea Pozzi; Alessandro Incremona; Daniele Toti (Appl. Intell., 2025)