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Ionel Eduard Stan
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2020 – today
- 2024
- [j5]Giovanni Pagliarini, Simone Scaboro, Giuseppe Serra, Guido Sciavicco, Ionel Eduard Stan:
Neural-symbolic temporal decision trees for multivariate time series classification. Inf. Comput. 301: 105209 (2024) - [c23]Giovanni Pagliarini, Andrea Paradiso, Guido Sciavicco, Ionel Eduard Stan:
On Modal Logic Formulae Minimization. CILC 2024 - [c22]Guillermo Badia, Carles Noguera, Alberto Paparella, Guido Sciavicco, Ionel Eduard Stan:
Fitting's Style Many-Valued Interval Temporal Logic Tableau System: Theory and Implementation. TIME 2024: 7:1-7:16 - 2023
- [j4]Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests. Artif. Intell. Medicine 137: 102486 (2023) - [j3]Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan:
Fuzzy Halpern and Shoham's interval temporal logics. Fuzzy Sets Syst. 456: 107-124 (2023) - [c21]Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Efficient Modal Decision Trees. AI*IA 2023: 381-395 - [c20]Dario Del Fante, Federico Manzella, Guido Sciavicco, Ionel Eduard Stan:
A Post-Modern Approach to Automatic Metaphor Identification. CLiC-it 2023 - [c19]Michele Ghiotti, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Evolutionary Explainable Rule Extraction from (Modal) Random Forests. ECAI 2023: 827-834 - [c18]Patrik Cavina, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
(Un)supervised Univariate Feature Extraction and Selection for Dimensional Data. itaDATA 2023 - [c17]Giovanni Pagliarini, Andrea Paradiso, Sasha Rubin, Guido Sciavicco, Ionel Eduard Stan:
Heuristic Minimization Modulo Theory of Modal Decision Trees Class-Formulas. OVERLAY@AI*IA 2023: 49-53 - [c16]Willem Conradie, Riccardo Monego, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan:
A Sound and Complete Tableau System for Fuzzy Halpern and Shoham's Interval Temporal Logic. TIME 2023: 9:1-9:14 - [i2]Guido Sciavicco, Ionel Eduard Stan:
Knowledge Extraction with Interval Temporal Logic Decision Trees. CoRR abs/2305.16864 (2023) - 2022
- [c15]Dario Della Monica, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Decision Trees with a Modal Flavor. AI*IA 2022: 47-59 - [c14]Mauro Milella, Giovanni Pagliarini, Andrea Paradiso, Ionel Eduard Stan:
Multi-Models and Multi-Formulas Finite Model Checking for Modal Logic Formulas Induction. OVERLAY@AI*IA 2022: 81-85 - [c13]Ionel Eduard Stan, Guido Sciavicco, Emilio Muñoz-Velasco, Giovanni Pagliarini, Mauro Milella, Andrea Paradiso:
On Modal Logic Association Rule Mining. ICTCS 2022: 53-65 - [c12]Giovanni Pagliarini, Simone Scaboro, Giuseppe Serra, Guido Sciavicco, Ionel Eduard Stan:
Neural-Symbolic Temporal Decision Trees for Multivariate Time Series Classification. TIME 2022: 13:1-13:15 - 2021
- [j2]Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan:
Feature and Language Selection in Temporal Symbolic Regression for Interpretable Air Quality Modelling. Algorithms 14(3): 76 (2021) - [c11]Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Multi-Frame Modal Symbolic Learning. OVERLAY@GandALF 2021: 37-41 - [c10]Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Interval Temporal Random Forests with an Application to COVID-19 Diagnosis. TIME 2021: 7:1-7:18 - 2020
- [c9]Willem Conradie, Dario Della Monica, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan:
Time Series Checking with Fuzzy Interval Temporal Logics. ICTCS 2020: 250-262 - [c8]Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan:
Symbolic Learning with Interval Temporal Logic: the Case of Regression. OVERLAY 2020: 5-9 - [c7]Dario Della Monica, Angelo Montanari, Guido Sciavicco, Ionel Eduard Stan:
A Note on Ultimately-Periodic Finite Interval Temporal Logic Model Checking. OVERLAY 2020: 11-15 - [c6]Joanna Kaminska, Estrella Lucena-Sánchez, Guido Sciavicco, Ionel Eduard Stan:
Rule Extraction via Dynamic Discretization with an Application to Air Quality Modelling. RuleML+RR (Supplement) 2020: 42-57 - [c5]Guido Sciavicco, Ionel Eduard Stan:
Knowledge Extraction with Interval Temporal Logic Decision Trees. TIME 2020: 9:1-9:16 - [i1]Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan:
Interval Temporal Logic Decision Tree Learning. CoRR abs/2003.04952 (2020)
2010 – 2019
- 2019
- [j1]Emilio Muñoz-Velasco, Mercedes Pelegrín-García, Pietro Sala, Guido Sciavicco, Ionel Eduard Stan:
On coarser interval temporal logics. Artif. Intell. 266: 1-26 (2019) - [c4]Estrella Lucena-Sánchez, Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan, Alessandro Vaccari:
Towards Interval Temporal Logic Rule-Based Classification. OVERLAY@AI*IA 2019: 65-70 - [c3]Guido Sciavicco, Ionel Eduard Stan, Alessandro Vaccari:
Towards a General Method for Logical Rule Extraction from Time Series. IWINAC (2) 2019: 3-12 - [c2]Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan:
Interval Temporal Logic Decision Tree Learning. JELIA 2019: 778-793 - 2017
- [c1]Emilio Muñoz-Velasco, Guido Sciavicco, Ionel Eduard Stan:
Implementation of a Tableau-based Satisfiability Checker for HS3. ICTCS/CILC 2017: 326-340
Coauthor Index
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last updated on 2024-10-23 21:28 CEST by the dblp team
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