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Persia, Cosimo
12  Ergebnisse:
Personensuche X
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1

RIDDLE: Rule Induction with Deep Learning:

Persia, Cosimo ; Guimarães, Ricardo
Proceedings of the Northern Lights Deep Learning Workshop.  4 (2023)  - p. , 2023
Link: https://doi.org/10.7557/..
 
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2

Verifying Properties of Tsetlin Machines:

, In: 2023 International Symposium on the Tsetlin Machine (ISTM),
Przybysz, Emilia ; Bhattarai, Bimal ; Persia, Cosimo... - p. 1-8 , 2023
Link: https://doi.org/10.1109/..
 
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3

Extracting Rules from Neural Networks with Partial Interpre..:

Persia, Cosimo ; Ozaki, Ana
Proceedings of the Northern Lights Deep Learning Workshop.  3 (2022)  - p. , 2022
Link: https://doi.org/10.7557/..
 
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4

Verifying Properties of Tsetlin Machines:

Przybysz, Emilia ; Bhattarai, Bimal ; Persia, Cosimo...
http://arxiv.org/abs/2303.14464.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

RIDDLE: Rule Induction with Deep Learning:

Persia, Cosimo ; Guimarães, Ricardo
https://septentrio.uit.no/index.php/nldl/article/view/6801/7016.  , 2023
Link: https://septentrio.uit.n..
 
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6

Extracting Rules from Neural Networks with Partial Interpre..:

Persia, Cosimo ; Ozaki, Ana
https://septentrio.uit.no/index.php/nldl/article/view/6301/6560.  , 2022
Link: https://septentrio.uit.n..
 
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7

Extracting Rules from Neural Networks with Partial Interpre..:

Persia, Cosimo ; Ozaki, Ana
http://arxiv.org/abs/2204.00360.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Mining EL Bases with Adaptable Role Depth:

Guimarães, Ricardo ; Ozaki, Ana ; Persia, Cosimo.
http://arxiv.org/abs/2102.10689.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

On the Learnability of Possibilistic Theories:

Persia, Cosimo ; Ozaki, Ana
http://arxiv.org/abs/2005.03157.  , 2020
Link: http://arxiv.org/abs/200..
 
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10

Learning Query Inseparable ELH Ontologies:

Ozaki, Ana ; Persia, Cosimo ; Mazzullo, Andrea
http://arxiv.org/abs/1911.07229.  , 2019
Link: http://arxiv.org/abs/191..
 
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11

Extracting Rules from Neural Networks with Partial Interpre..:

Persia, Cosimo Damiano ; Ozaki, Ana
urn:issn:2703-6928.  , 2022
Link: https://hdl.handle.net/1..
 
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12

Incremental Predictive Process Monitoring: How to Deal with..:

Di Francescomarino, Chiara ; Ghidini, Chiara ; Maggi, Fabrizio Maria..
http://arxiv.org/abs/1804.03967.  , 2018
Link: http://arxiv.org/abs/180..
 
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