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Daniele Maccagnola
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Journal Articles
- 2024
- [j2]Lorenzo Tronchin
, Ermanno Cordelli
, Lorenzo Ricciardi Celsi
, Daniele Maccagnola, Massimo Natale, Paolo Soda
, Rosa Sicilia
:
Translating Image XAI to Multivariate Time Series. IEEE Access 12: 27484-27500 (2024) - 2013
- [j1]Qian Gao, David R. Gilbert, Monika Heiner
, Fei Liu, Daniele Maccagnola, David Tree:
Multiscale Modeling and Analysis of Planar Cell Polarity in the Drosophila Wing. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 337-351 (2013)
Conference and Workshop Papers
- 2022
- [c12]Francesco Spinnato
, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina:
Explaining Crash Predictions on Multivariate Time Series Data. DS 2022: 556-566 - 2021
- [c11]Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Lorenzo Ricciardi Celsi
, Daniele Maccagnola, Massimo Natale, Paolo Soda:
Explainable AI for Car Crash Detection using Multivariate Time Series. ICCI*CC 2021: 30-38 - 2015
- [c10]Valentina Beretta, Daniele Maccagnola, Timothy Cribbin
, Enza Messina
:
An Interactive Method for Inferring Demographic Attributes in Twitter. HT 2015: 113-122 - [c9]Daniele Maccagnola, Elisabetta Fersini, Rabah Djennadi, Enza Messina:
Overlapping Kernel-based Community Detection with Node Attributes. KDIR 2015: 517-524 - 2014
- [c8]Debora Nozza
, Daniele Maccagnola, Vincent Guigue, Enza Messina
, Patrick Gallinari:
A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks. SEFM Workshops 2014: 201-213 - 2013
- [c7]Federico Alberto Pozzi, Daniele Maccagnola, Elisabetta Fersini
, Enza Messina
:
Enhance User-Level Sentiment Analysis on Microblogs with Approval Relations. AI*IA 2013: 133-144 - [c6]Mauro Castelli
, Davide Castaldi, Ilaria Giordani
, Sara Silva
, Leonardo Vanneschi
, Francesco Archetti, Daniele Maccagnola:
An Efficient Implementation of Geometric Semantic Genetic Programming for Anticoagulation Level Prediction in Pharmacogenetics. EPIA 2013: 78-89 - [c5]Davide Castaldi, Daniele Maccagnola, Daniela Mari
, Francesco Archetti:
Mining for Variability in the Coagulation Pathway: A Systems Biology Approach. EvoBIO 2013: 153-164 - [c4]Mauro Castelli
, Davide Castaldi, Leonardo Vanneschi
, Ilaria Giordani
, Francesco Archetti, Daniele Maccagnola:
An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics. GECCO (Companion) 2013: 137-138 - 2012
- [c3]Davide Castaldi, Daniele Maccagnola, Daniela Mari
, Francesco Archetti:
Stochastic Simulation of the Coagulation Cascade: A Petri Net Based Approach. Euro-Par Workshops 2012: 248-262 - [c2]Daniele Maccagnola, Enza Messina
, Qian Gao, David R. Gilbert:
A machine learning approach for generating temporal logic classifications of complex model behaviours. WSC 2012: 294:1-294:12 - [c1]Davide Castaldi, Francesco Archetti, Daniele Maccagnola, Daniela Mari:
A stochastic Petri net model to simulate the intrinsic variability of tissue factor induced coagulation cascade. WSC 2012: 363:1-363:2
Coauthor Index
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