Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lina Fahed"'
Publikováno v:
Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
Publikováno v:
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal, Canada. 2021
Twelfth International Workshop Modelling and Reasoning in Context
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal (virtual), Canada. pp.28-40
HAL
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal, Canada. 2021
Twelfth International Workshop Modelling and Reasoning in Context
Twelfth International Workshop Modelling and Reasoning in Context (MRC) @IJCAI 2021, Aug 2021, Montréal (virtual), Canada. pp.28-40
HAL
International audience; EXplainable Artificial Intelligence (XAI) has recently become a very active domain, mainly due to the extensive development of black-box models such as neural networks. Recent XAI objectives have been defined in the state-of-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9000730ae9df76d0664cb897af33da52
https://hal.archives-ouvertes.fr/hal-03345286/file/2021-08-MRC-HCCS-IJCAI-POSTER.pdf
https://hal.archives-ouvertes.fr/hal-03345286/file/2021-08-MRC-HCCS-IJCAI-POSTER.pdf
Autor:
Ayman Alfalou, Lina Fahed
Publikováno v:
SPIE. Defense + Commercial Sensing, Pattern Recognition and Tracking XXXI
SPIE. Defense + Commercial Sensing, Pattern Recognition and Tracking XXXI, Apr 2020, California, United States. pp.114000M, ⟨10.1117/12.2558536⟩
SPIE. Defense + Commercial Sensing, Pattern Recognition and Tracking XXXI, Apr 2020, California, United States. pp.114000M, ⟨10.1117/12.2558536⟩
International audience; Pattern detection is an active field in big data streams analytics with numerous ongoing challenges. Actually, due to the great velocity and variety of data, new patterns can appear and change over time. Existing state-of-the-
Publikováno v:
19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems
19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2015, Singapour, Singapore. ⟨10.1016/j.procs.2015.08.174⟩
KES
19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2015, Singapour, Singapore. ⟨10.1016/j.procs.2015.08.174⟩
KES
International audience; Episode rules are event patterns mined from a single event sequence. They are mainly used to predict the occurrence of events (the consequent of the rule), once the antecedent has occurred. The occurrence of the consequent of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d4fd6b0670be56f4958fe548324f67
https://hal.inria.fr/hal-01254175
https://hal.inria.fr/hal-01254175
Publikováno v:
Knowledge Discovery, Knowledge Engineering and Knowledge Management
Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
Communications in Computer and Information Science ISBN: 9783319258393
IC3K (Selected Papers)
Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
Communications in Computer and Information Science ISBN: 9783319258393
IC3K (Selected Papers)
This paper focuses on event prediction in an event sequence, particularly on distant event prediction. We aim at mining episode rules with a consequent temporally distant from the antecedent and with a minimal antecedent. To reach this goal, we propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6678b65bb064311be556629f8ac182c1
https://inria.hal.science/hal-01430455
https://inria.hal.science/hal-01430455
Publikováno v:
[Research Report] 2014
KDIR-7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
KDIR-7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management., Oct 2014, rome, Italy
KDIR
KDIR-7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
KDIR-7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management., Oct 2014, rome, Italy
KDIR
This paper focuses on event prediction in an event sequence, where we aim at predicting distant events. We propose an algorithm that mines episode rules, which are minimal and have a consequent temporally distant from the antecedent. As traditional a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd745dbefc31063d1c69370184d56b5
https://hal.inria.fr/hal-01062542/file/lfahed2014.pdf
https://hal.inria.fr/hal-01062542/file/lfahed2014.pdf