Manuel Striani

Orcid: 0000-0002-7600-576X

According to our database1, Manuel Striani authored at least 31 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums.
Hum. Comput. Interact., March, 2024

Towards an educational tool for supporting neonatologists in the delivery room.
CoRR, 2024

2023
Towards Action-State Process Model Discovery.
Data, 2023

NRTS: A Client-Server architecture for supporting data recording, transmission and evaluation of multidisciplinary teams during the neonatal resuscitation simulation scenario.
CoRR, 2023

DEGARI 2.0: A diversity-seeking, explainable, and affective art recommender for social inclusion.
Cogn. Syst. Res., 2023

Applying the SIM Tool in Clinical Practice: a Case Study in Neonatal Resuscitation Simulation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Improving Stroke Trace Classification Explainability Through Counterexamples.
Proceedings of the Artificial Intelligence in Medicine, 2023

Extracting Emotions from Users' Annotations in Virtual Museums: a Case Study on the Pop-up Virtual Museum of the Design Museum Helsinki (full paper).
Proceedings of the 2nd Workshop on Artificial Intelligence for Cultural Heritage (IAI4CH 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices.
Proc. VLDB Endow., 2022

Novel deep learning architectures for haemodialysis time series classification.
Int. J. Knowl. Based Intell. Eng. Syst., 2022

Explainable process trace classification: An application to stroke.
J. Biomed. Informatics, 2022

Integrating ISA and Part-of Domain Knowledge into Process Model Discovery.
Future Internet, 2022

Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

A complementary account to emotion extraction and classification in cultural heritage based on the Plutchik's theory.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

AS-SIM: An Approach to Action-State Process Model Discovery.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Formal Methods Meet XAI: the Tool DEGARI 2.0 for Social Inclusion.
Proceedings of the Short Paper Proceedings of the 4th Workshop on Artificial Intelligence and Formal Verification, 2022

2021
An Inception-Based Architecture for Haemodialysis Time Series Classification.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

2020
Process Trace Classification for Stroke Management Quality Assessment.
Proceedings of the Case-Based Reasoning Research and Development, 2020

Deep Feature Extraction for Representing and Classifying Time Series Cases: Towards an Interpretable Approach in Haemodialysis.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

2019
Discovering Knowledge Embedded in Bio-medical Databases: Experiences in Food Characterization and in Medical Process Mining.
Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Deep Learning for Haemodialysis Time Series Classification.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018
Leveraging semantic labels for multi-level abstraction in medical process mining and trace comparison.
J. Biomed. Informatics, 2018

From Semantically Abstracted Traces to Process Mining and Process Model Comparison.
Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

2017
TEEM: Technology-Enhanced Emergency Management for Supporting Data Communication During Patient Transportation.
Int. J. Mob. Comput. Multim. Commun., 2017

Multi-level abstraction for trace comparison and process discovery.
Expert Syst. Appl., 2017

A telemedicine support for improving medical emergency management.
EAI Endorsed Trans. Ambient Syst., 2017

Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction.
Proceedings of the Data-Driven Process Discovery and Analysis, 2017

A framework for Multi-level Trace Abstraction and Semantic Process Mining.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Semantic Trace Comparison at Multiple Levels of Abstraction.
Proceedings of the Case-Based Reasoning Research and Development, 2017

Knowledge-Based Trace Abstraction for Semantic Process Mining.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
TEEM: A Mobile App for Technology-Enhanced Emergency Management.
Proceedings of the Internet of Things Technologies for HealthCare, 2016


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