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Francesco Sovrano

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affiliation: Università di Bologna, Italy

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2020 – today

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2024
[j6]
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Francesco Sovrano, Fabio Vitali:
Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data. Data Min. Knowl. Discov. 38(5): 3141-3168 (2024)
[c22]
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Francesco Sovrano, Giulia Vilone:
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis. ECAI 2024: 826-833
[c21]
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Francesco Sovrano, Michaël Lognoul, Alberto Bacchelli:
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. ICSE (SEIS) 2024: 46-56
[c20]
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Giulia Vilone, Francesco Sovrano, Michaël Lognoul:
On the Explainability of Financial Robo-Advice Systems. xAI (4) 2024: 219-242
[i13]
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  - journals/corr/abs-2408-15121
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Francesco Sovrano, Michael Lognoul, Giulia Vilone:
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis. CoRR abs/2408.15121 (2024)
2023
[b1]
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Francesco Sovrano:
How to explain: from theory to practice. University of Bologna, Italy, 2023
[j5]
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Francesco Sovrano, Fabio Vitali:
An objective metric for Explainable AI: How and why to estimate the degree of explainability. Knowl. Based Syst. 278: 110866 (2023)
[c19]
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Francesco Sovrano, Kevin D. Ashley, Alberto Bacchelli:
Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. iTextbooks@AIED 2023: 54-65
[c18]
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Vittoria Pistone, Francesco Sovrano, Biagio Distefano:
Aligning UN Goals and legal norms in a case weighting system: a case study on environmental crimes in Italy. ICEGOV 2023: 324-331
[c17]
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Francesco Sovrano, Fabio Vitali:
Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI. xAI (1) 2023: 25-47
[i12]
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  - journals/corr/abs-2312-14794
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Francesco Sovrano, Michaël Lognoul, Alberto Bacchelli:
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. CoRR abs/2312.14794 (2023)
2022
[j4]
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Francesco Sovrano, Monica Palmirani, Fabio Vitali:
Combining shallow and deep learning approaches against data scarcity in legal domains. Gov. Inf. Q. 39(3): 101715 (2022)
[j3]
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Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. IEEE Robotics Autom. Lett. 7(2): 898-905 (2022)
[j2]
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Francesco Sovrano, Fabio Vitali:
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces. ACM Trans. Interact. Intell. Syst. 12(4): 26:1-26:32 (2022)
[c16]
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Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali:
YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. iTextbooks@AIED 2022: 31-39
[c15]
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Francesco Sovrano, Fabio Vitali:
How to Quantify the Degree of Explainability: Experiments and Practical Implications. FUZZ-IEEE 2022: 1-9
[c14]
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Francesco Sovrano, Giulio Masetti:
Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures. ICEGOV 2022: 492-498
[i11]
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  - journals/corr/abs-2208-14451
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Francesco Sovrano, Giulio Masetti:
Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures. CoRR abs/2208.14451 (2022)
2021
[c13]
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  - conf/icail/SovranoPDSV21
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Francesco Sovrano, Monica Palmirani, Biagio Distefano, Salvatore Sapienza, Fabio Vitali:
A dataset for evaluating legal question answering on private international law. ICAIL 2021: 230-234
[c12]
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Francesco Sovrano, Fabio Vitali:
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation. IUI 2021: 81-91
[c11]
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Monica Palmirani, Francesco Sovrano, Davide Liga, Salvatore Sapienza, Fabio Vitali:
Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda. JURIX 2021: 68-75
[c10]
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Francesco Sovrano, Salvatore Sapienza, Monica Palmirani, Fabio Vitali:
A Survey on Methods and Metrics for the Assessment of Explainability Under the Proposed AI Act. JURIX 2021: 235-242
[i10]
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  - journals/corr/abs-2109-04165
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Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Modelling GDPR-Compliant Explanations for Trustworthy AI. CoRR abs/2109.04165 (2021)
[i9]
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  - journals/corr/abs-2109-04171
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Francesco Sovrano, Fabio Vitali:
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation. CoRR abs/2109.04171 (2021)
[i8]
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  - journals/corr/abs-2109-05327
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Francesco Sovrano, Fabio Vitali:
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability. CoRR abs/2109.05327 (2021)
[i7]
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  - journals/corr/abs-2109-14711
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Francesco Sovrano, Alex Raymond, Amanda Prorok:
Explanation-Aware Experience Replay in Rule-Dense Environments. CoRR abs/2109.14711 (2021)
[i6]
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  - journals/corr/abs-2110-00758
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Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR. CoRR abs/2110.00758 (2021)
[i5]
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  - journals/corr/abs-2110-00762
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Francesco Sovrano, Fabio Vitali:
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces. CoRR abs/2110.00762 (2021)
[i4]
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  - journals/corr/abs-2110-11168
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Francesco Sovrano, Salvatore Sapienza, Monica Palmirani, Fabio Vitali:
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act. CoRR abs/2110.11168 (2021)
2020
[j1]
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  - journals/tciaig/AspertiCPPS20
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Andrea Asperti, Daniele Cortesi, Carlo De Pieri, Gianmaria Pedrini, Francesco Sovrano:
Crawling in Rogue's Dungeons With Deep Reinforcement Techniques. IEEE Trans. Games 12(2): 177-186 (2020)
[c9]
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  - conf/aicol/SovranoVP20
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Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Making Things Explainable vs Explaining: Requirements and Challenges Under the GDPR. AICOL 2020: 169-182
[c8]
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  - conf/egovis/PalmiraniBLSS20
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Monica Palmirani, Giorgia Bincoletto, Valentina Leone, Salvatore Sapienza, Francesco Sovrano:
Hybrid Refining Approach of PrOnto Ontology. EGOVIS 2020: 3-17
[c7]
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Francesco Sovrano, Fabio Vitali, Monica Palmirani:
Modelling GDPR-Compliant Explanations for Trustworthy AI. EGOVIS 2020: 219-233
[c6]
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  - conf/icegov/SovranoPV20
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Francesco Sovrano, Monica Palmirani, Fabio Vitali:
Deep learning based multi-label text classification of UNGA resolutions. ICEGOV 2020: 686-695
[c5]
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  - conf/jurix/SovranoPV20
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Francesco Sovrano, Monica Palmirani, Fabio Vitali:
Legal Knowledge Extraction for Knowledge Graph Based Question-Answering. JURIX 2020: 143-153
[i3]
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  - journals/corr/abs-2004-03455
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Francesco Sovrano, Monica Palmirani, Fabio Vitali:
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions. CoRR abs/2004.03455 (2020)

2010 – 2019

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2019
[c4]
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  - conf/cig/Sovrano19
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Francesco Sovrano:
Combining Experience Replay with Exploration by Random Network Distillation. CoG 2019: 1-8
[c3]
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  - conf/jurix/PalmiraniBLSS19
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Monica Palmirani, Giorgia Bincoletto, Valentina Leone, Salvatore Sapienza, Francesco Sovrano:
PrOnto Ontology Refinement Through Open Knowledge Extraction. JURIX 2019: 205-210
[c2]
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Francesco Sovrano, Fabio Vitali, Monica Palmirani:
The Difference between Explainable and Explaining: Requirements and Challenges under the GDPR. XAILA@JURIX 2019
[i2]
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  - journals/corr/abs-1905-07579
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Francesco Sovrano:
Combining Experience Replay with Exploration by Random Network Distillation. CoRR abs/1905.07579 (2019)
2018
[c1]
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  - conf/mod/AspertiCS18
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Andrea Asperti, Daniele Cortesi, Francesco Sovrano:
Crawling in Rogue's Dungeons with (Partitioned) A3C. LOD 2018: 264-275
[i1]
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  - journals/corr/abs-1804-08685
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Andrea Asperti, Daniele Cortesi, Francesco Sovrano:
Crawling in Rogue's dungeons with (partitioned) A3C. CoRR abs/1804.08685 (2018)

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