Zobrazeno 1 - 10
of 93
pro vyhledávání: '"da Costa Pereira, Célia"'
Publikováno v:
In Expert Systems With Applications 15 September 2012 39(12):10376-10388
Publikováno v:
In Information Processing and Management March 2012 48(2):340-357
Autor:
Tettamanzi, Andrea G. B., Emsellem, David, da Costa Pereira, Célia, Venerandi, Alessandro, Fusco, Giovanni
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Prompted by an application in the area of human geography using machine learning to study housing market valuation based on the urban form, we propose a method based on possibility theory to deal with sparse data, which can be combined with any machi
Publikováno v:
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3–5, 2022
ICAART 2022-14th International Conference on Agents and Artificial Intelligence
ICAART 2022-14th International Conference on Agents and Artificial Intelligence, Feb 2022, Online Streaming, Portugal. pp.441-449, ⟨10.5220/0010874000003116⟩
ICAART 2022-14th International Conference on Agents and Artificial Intelligence
ICAART 2022-14th International Conference on Agents and Artificial Intelligence, Feb 2022, Online Streaming, Portugal. pp.441-449, ⟨10.5220/0010874000003116⟩
International audience; We investigate how metadata about the uncertainty of knowledge contained in a knowledge base can be expressed parsimoniously and used for reasoning. We propose an approach based on possibility theory, whereby a classical knowl
Autor:
El Zein, Dima, da Costa Pereira, Célia
Publikováno v:
11th Italian Information Retrieval Workshop
11th Italian Information Retrieval Workshop, Sep 2021, Bari, Italy
11th Italian Information Retrieval Workshop, Sep 2021, Bari, Italy
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e610aeefa4df01171f9561eb59d827ea
https://hal.archives-ouvertes.fr/hal-03363351
https://hal.archives-ouvertes.fr/hal-03363351
Publikováno v:
In Fuzzy Sets and Systems 2009 160(10):1383-1401
Publikováno v:
PRIMA 2020: Principles and Practice of Multi-Agent Systems-23rd International Conference, Nagoya, Japan, November 18-20, 2020, Proceedings
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems, Nov 2020, Nagoya (virtual), Japan. ⟨10.1007/978-3-030-69322-0_18⟩
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems, Nov 2020, Nagoya (virtual), Japan. ⟨10.1007/978-3-030-69322-0_18⟩
International audience; Chronic diseases cause many deaths worldwide each year. The most common action to manage this type of disease is to conduct expensive pathological tests whose goal is to assess risks and identify early complications to patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::360e638a2a6c0f16e71dd620f0dba8d2
https://hal.archives-ouvertes.fr/hal-03199543/file/PRIMA_2020_paper_55-1.pdf
https://hal.archives-ouvertes.fr/hal-03199543/file/PRIMA_2020_paper_55-1.pdf
Autor:
Da Costa Pereira, Célia, Bevilacqua, Sara, Guerci, Eric, Precioso, Frédéric, Sartori, Claudio
Publikováno v:
PRIMA 2019: Principles and Practice of Multi-Agent Systems-22nd International Conference, Turin, Italy, October 28-31, 2019, Proceedings
PRIMA 2019: Principles and Practice of Multi-Agent Systems-22nd International Conference, Turin, Italy, October 28-31, 2019, Proceedings, Oct 2019, Turin, Italy. pp.235-250
PRIMA 2019: Principles and Practice of Multi-Agent Systems-22nd International Conference, Turin, Italy, October 28-31, 2019, Proceedings, Oct 2019, Turin, Italy. pp.235-250
We analyze the behavior of the Italian electricity market with an agent-based model. In particular, we are interested in testing the assumption that the market participants are fully rational in the economical sense. To this end, we suppose that whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::b15fd4490c349130f95e9397c6b09727
https://hal.archives-ouvertes.fr/hal-03199500
https://hal.archives-ouvertes.fr/hal-03199500
Autor:
Bertoncello, Frédérique, Ouriachi, Marie-Jeanne, da Costa Pereira, Célia, Tettamanzi, Andrea G. B., Purdue, Louise, Ajroud, Rami, Lefebvre, Jérémy
Publikováno v:
CAA 2018-46th Computer Applications and Quantitative Methods in Archaeology international conference « Human history and digital future »
CAA 2018-46th Computer Applications and Quantitative Methods in Archaeology international conference « Human history and digital future », Mar 2018, Tübingen, Germany
CAA 2018-46th Computer Applications and Quantitative Methods in Archaeology international conference « Human history and digital future », Mar 2018, Tübingen, Germany
International audience; This paper presents a work in progress within the project « Modeling the role of socio-environmental interactions on Ancient Settlement Dynamics - ModelAnSet » (UCAJEDI Academy 2 « Complex Systems ») developed by archaeolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bd3ead3d61ac1844f4e63f8288ed650d
https://halshs.archives-ouvertes.fr/halshs-03098473/document
https://halshs.archives-ouvertes.fr/halshs-03098473/document
Publikováno v:
AI Communications
AI Communications, IOS Press, 2018, 31 (1), pp.75-95. ⟨10.3233/AIC-180752⟩
AI Communications, 2018, 31 (1), pp.75-95. ⟨10.3233/AIC-180752⟩
AI Communications, IOS Press, 2018, 31 (1), pp.75-95. ⟨10.3233/AIC-180752⟩
AI Communications, 2018, 31 (1), pp.75-95. ⟨10.3233/AIC-180752⟩
International audience; The extraction of the relevant and debated opinions from online social media and commercial websites is an emerging task in the opinion mining research field. Its growing relevance is mainly due to the impact of exploiting suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4134ed6444c40fc7a519055bee608a3a
https://hal.inria.fr/hal-01721538/document
https://hal.inria.fr/hal-01721538/document