FIOR, JACOPO
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Early portfolio pruning: a scalable approach to hybrid portfolio selection
2023 Gioia, Daniele G.; Fior, Jacopo; Cagliero, Luca
Machine Learning-Driven Decision Making based on Financial Time Series
2023 Fior, Jacopo
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition
2023 Cagliero, L; Fior, J; Garza, P
A risk-aware approach to stock portfolio allocation based on Deep Q-Networks
2022 Fior, Jacopo; Cagliero, Luca
Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model
2022 Fior, J; Cagliero, L
Generating Comparative Explanations of Financial Time Series
2022 Fior, Jacopo; Cagliero, Luca; Calo', Tommaso
Legal Entity Disambiguation for Financial Crime Detection
2022 Fior, Jacopo; Favale, Thomas; Cagliero, Luca; Giordano, Danilo; Mellia, Marco; Baralis, Elena; Ronchiadin, Silvia; Baracco, Paolo; Moncalvo, Dario
Leveraging Explainable AI to Support Cryptocurrency Investors
2022 Fior, Jacopo; Cagliero, Luca; Garza, Paolo
Leveraging the momentum effect in machine learning-based cryptocurrency trading
2022 Bellocca, Gian Pietro; Attanasio, Giuseppe; Cagliero, Luca; Fior, Jacopo
Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings
2021 Fior, Jacopo; Cagliero, Luca
Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading
2020 Fior, Jacopo; Cagliero, Luca
Price Series Cross-Correlation Analysis to Enhance the Diversification of Itemset-based Stock Portfolios
2020 Fior, Jacopo; Cagliero, Luca; Garza, Paolo
Citazione | Data di pubblicazione | Autori | File |
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Early portfolio pruning: a scalable approach to hybrid portfolio selection / Gioia, Daniele G.; Fior, Jacopo; Cagliero, Luca. - In: KNOWLEDGE AND INFORMATION SYSTEMS. - ISSN 0219-1377. - (2023). [10.1007/s10115-023-01832-7] | 1-gen-2023 | Gioia, Daniele G.Fior, JacopoCagliero, Luca | KAIS_EPP_GioiaFiorCagliero.pdf |
Machine Learning-Driven Decision Making based on Financial Time Series / Fior, Jacopo. - (2023 Nov 15), pp. 1-178. | 15-nov-2023 | FIOR, JACOPO | conv_tesi_dottorato-3.pdf; conv_abstract_tesi_dottorato-1.pdf |
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition / Cagliero, L; Fior, J; Garza, P. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 216:(2023). [10.1016/j.eswa.2022.119493] | 1-gen-2023 | Cagliero, LFior, JGarza, P | 1-s2.0-S095741742202512X-main.pdf |
A risk-aware approach to stock portfolio allocation based on Deep Q-Networks / Fior, Jacopo; Cagliero, Luca. - (2022). (Intervento presentato al convegno International Conference on Application of Information and Communication Technologies (AICT) tenutosi a Washington DC (USA) nel 12-14 October 2022) [10.1109/AICT55583.2022.10013578]. | 1-gen-2022 | Jacopo FiorLuca Cagliero | A_risk-aware_approach_to_stock_portfolio_allocation_based_on_Deep_Q-Networks.pdf |
Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model / Fior, J; Cagliero, L. - In: IEEE ACCESS. - ISSN 2169-3536. - 10:(2022), pp. 73005-73018. [10.1109/ACCESS.2022.3190399] | 1-gen-2022 | Fior, JCagliero, L | Correlating_Extreme_Weather_Conditions_With_Road_Traffic_Safety_A_Unified_Latent_Space_Model.pdf |
Generating Comparative Explanations of Financial Time Series / Fior, Jacopo; Cagliero, Luca; Calo', Tommaso. - 13389:(2022), pp. 121-132. (Intervento presentato al convegno ADBIS: European Conference on Advances in Databases and Information Systems tenutosi a Turin (Italy) nel September 5–8, 2022) [10.1007/978-3-031-15740-0_10]. | 1-gen-2022 | Fior, JacopoCagliero, LucaCalo', Tommaso | 978-3-031-15740-0_10.pdf |
Legal Entity Disambiguation for Financial Crime Detection / Fior, Jacopo; Favale, Thomas; Cagliero, Luca; Giordano, Danilo; Mellia, Marco; Baralis, Elena; Ronchiadin, Silvia; Baracco, Paolo; Moncalvo, Dario. - ELETTRONICO. - (2022), pp. 6639-6641. (Intervento presentato al convegno 2022 IEEE International Conference on Big Data (Big Data) tenutosi a Osaka, Japan nel 17-20 December 2022) [10.1109/BigData55660.2022.10020700]. | 1-gen-2022 | Fior, JacopoFavale, ThomasCagliero, LucaGiordano, DaniloMellia, MarcoBaralis, Elena + | Legal_Entity_Disambiguation_for_Financial_Crime_Detection.pdf; Legal_Entity_Disambiguation_for_Financial_Crime_Detection.pdf |
Leveraging Explainable AI to Support Cryptocurrency Investors / Fior, Jacopo; Cagliero, Luca; Garza, Paolo. - In: FUTURE INTERNET. - ISSN 1999-5903. - 14:9(2022). [10.3390/fi14090251] | 1-gen-2022 | Fior, JacopoCagliero, LucaGarza, Paolo | futureinternet-14-00251-v2.pdf |
Leveraging the momentum effect in machine learning-based cryptocurrency trading / Bellocca, Gian Pietro; Attanasio, Giuseppe; Cagliero, Luca; Fior, Jacopo. - In: MACHINE LEARNING WITH APPLICATIONS. - ISSN 2666-8270. - 8:(2022), p. 100310. [10.1016/j.mlwa.2022.100310] | 1-gen-2022 | Attanasio, GiuseppeCagliero, LucaFior, Jacopo + | 1-s2.0-S2666827022000329-main.pdf |
Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings / Fior, Jacopo; Cagliero, Luca. - STAMPA. - 1:(2021), pp. 402-407. (Intervento presentato al convegno 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) tenutosi a Madrid (Spain) nel 12-16 July 2021) [10.1109/COMPSAC51774.2021.00063]. | 1-gen-2021 | Jacopo FiorLuca Cagliero | Estimating_the_incidence_of_adverse_weather_effects_on_road_traffic_safety_using_time_series_embeddings.pdf |
Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading / Fior, Jacopo; Cagliero, Luca. - STAMPA. - (2020), pp. 333-340. (Intervento presentato al convegno IEEE ICDM 2020 tenutosi a Sorrento (IT) nel November 17-20, 2020) [10.1109/ICDMW51313.2020.00053]. | 1-gen-2020 | Fior JacopoCagliero Luca | Exploring_the_Use_of_Data_at_Multiple_Granularity_Levels_in_Machine_Learning-Based_Stock_Trading.pdf |
Price Series Cross-Correlation Analysis to Enhance the Diversification of Itemset-based Stock Portfolios / Fior, Jacopo; Cagliero, Luca; Garza, Paolo. - STAMPA. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 ACM SIGMOD/PODS Conference tenutosi a Portland, OR, USA nel June 14, 2020) [10.1145/3401832.3402680]. | 1-gen-2020 | Fior JacopoCagliero LucaGarza Paolo | 3401832.3402680.pdf |