Daniele Toti

发表

Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries

Andrea Pozzi, Daniele Toti, 2022, Comput. Chem. Eng..

MAEO: An Ontology for Modeling Agents, Experts and Expertise within an Open Online Materials Modeling MarketPlace

Daniele Toti, G. Goldbeck, 2021 .

Fipronil recognition by the FA1 site of human serum albumin

V. Trezza, P. Ascenzi, F. Polticelli, 2018, Journal of molecular recognition : JMR.

FGDB: a comprehensive graph database of ligand fragments from the Protein Data Bank

F. Polticelli, Gabriele Macari, Daniele Toti, 2022, Database J. Biol. Databases Curation.

DockingApp: a user friendly interface for facilitated docking simulations with AutoDock Vina

Daniele Toti, Fabio Polticelli, Elena Di Muzio, 2017, Journal of Computer-Aided Molecular Design.

Computational methods and tools for binding site recognition between proteins and small molecules: from classical geometrical approaches to modern machine learning strategies

Daniele Toti, Gabriele Macari, Fabio Polticelli, 2019, Journal of Computer-Aided Molecular Design.

A Semantic Knowledge Discovery Framework for Detecting Online Terrorist Networks

Daniele Toti, Andrea Ciapetti, Giulia Ruggiero, 2018, MMM.

A Methodology for Controlling Bias and Fairness in Synthetic Data Generation

Daniele Toti, D. Tessera, Enrico Barbierato, 2022, Applied Sciences.

Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics

S. Moura, Andrea Pozzi, Daniele Toti, 2022, 2022 IEEE Conference on Control Technology and Applications (CCTA).

DockingApp RF: A State-of-the-Art Novel Scoring Function for Molecular Docking in a User-Friendly Interface to AutoDock Vina

Daniele Toti, Fabio Polticelli, Gabriele Macari, 2020, International journal of molecular sciences.

LIBRA: LIgand Binding site Recognition Application

Fabio Polticelli, Daniele Toti, Le Viet Hung, 2015, Bioinform..

Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters

Andrea Pozzi, Daniele Toti, Enrico Barbierato, 2023, Sensors.

A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics

S. Moura, Andrea Pozzi, Daniele Toti, 2022, 2022 IEEE 17th International Conference on Control & Automation (ICCA).

A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states

S. Moura, Andrea Pozzi, Daniele Toti, 2023, Comput. Chem. Eng..

Detection of Student Engagement in e-Learning Systems Based on Semantic Analysis and Machine Learning

Daniele Toti, Nicola Capuano, Fernanda Campos, 2020, 3PGCIC.

A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases

Daniele Toti, Nicola Capuano, Saverio Salerno, 2014, WIMS '14.

Introduction to the VIMMP ontologies

Daniele Toti, Martin Horsch, Gerhard Goldbeck, 2021 .

ASSIST: a fast versatile local structural comparison tool

Fabio Polticelli, Daniele Toti, Maurizio Di Stefano, 2014, Bioinform..

A framework for semi-automatic identification, disambiguation and storage of protein-related abbreviations in scientific literature

Fabio Polticelli, Daniele Toti, Paolo Atzeni, 2011, 2011 IEEE 27th International Conference on Data Engineering Workshops.

Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News

Daniele Toti, Enrico Barbierato, A. Pozzi, 2023, Informatics.

OSMO: Ontology for Simulation, Modelling, and Optimization

Daniele Toti, Gerhard Goldbeck, Silvia Chiacchiera, 2021, JOWO.

An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool

Daniele Toti, Andrea Ciapetti, Rosario Di Florio, 2019, ICEIS.

NETHIC: A System for Automatic Text Classification using Neural Networks and Hierarchical Taxonomies

Daniele Toti, Andrea Ciapetti, Rosario Di Florio, 2019, ICEIS.

Experimentation of a smart learning system for law based on knowledge discovery and cognitive computing

Daniele Toti, Nicola Capuano, N. Capuano, 2019, Comput. Hum. Behav..

SEMANTO: a graphical ontology management system for knowledge discovery

Daniele Toti, Andrea Longhi, Daniele Toti, 2018, J. Ambient Intell. Humaniz. Comput..

SEMANTO: a graphical ontology management system for knowledge discovery

Daniele Toti, Andrea Longhi, 2017, Journal of Ambient Intelligence and Humanized Computing.

Fragment-Based Ligand-Protein Contact Statistics: Application to Docking Simulations

Daniele Toti, Fabio Polticelli, Gabriele Macari, 2019, International journal of molecular sciences.

Protein-ligand binding site detection as an alternative route to molecular docking and drug repurposing

Fabio Polticelli, Daniele Toti, Gabriele Macari, 2018, Bio Algorithms Med Syst..

CHAMEO: An ontology for the harmonisation of materials characterisation methodologies

P. D. Nostro, Daniele Toti, G. Goldbeck, 2022, Appl. Ontology.

Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem

P. D. Nostro, Daniele Toti, G. Goldbeck, 2023, Appl. Ontology.

The CHAMEO Ontology: Exploiting EMMO's Multiperspective Versatility for Capturing Materials Characterization Procedures

P. D. Nostro, Daniele Toti, G. Goldbeck, 2022, FOMI.

Assessment of the E3C corpus for the recognition of disorders in clinical texts

Roberto Zanoli, A. Lavelli, Daniele Toti, 2023, Natural Language Engineering.

An Environment for Collective Perception based on Fuzzy and Semantic Approaches

Matteo Gaeta, Daniele Toti, Giuseppe D'Aniello, 2018, J. Artif. Intell. Soft Comput. Res..

RAN-Map: a system for automatically producing API layers from RDF schemas

Daniele Toti, Marco Rinelli, Daniele Toti, 2016, Journal of Ambient Intelligence and Humanized Computing.

Semi-automatic Generation of an Object-Oriented API Framework over Semantic Repositories

Daniele Toti, Marco Rinelli, Daniele Toti, 2015, 2015 International Conference on Intelligent Networking and Collaborative Systems.

ARISTOTELE: A Semantic-Driven Platform for Enterprise Management

Pierluigi Ritrovato, Daniele Toti, Francesco Orciuoli, 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

A Semantic-Based Architecture for Managing Knowledge-Intensive Organizations: The ARISTOTELE Platform

Pierluigi Ritrovato, Daniele Toti, Francesco Orciuoli, 2011, WISE Workshops.