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Díaz-Rodríguez, Natalia
4491  Ergebnisse:
Personensuche X
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1

On generating trustworthy counterfactual explanations:

Del Ser, Javier ; Barredo-Arrieta, Alejandro ; Díaz-Rodríguez, Natalia...
Information Sciences.  655 (2024)  - p. 119898 , 2024
Link: https://doi.org/10.1016/..
 
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2

Perioperative Considerations in Patients with Vein of Galen..:

Patel, Shivani ; Diaz-Rodriguez, Natalia ; Steppan, Jochen
Journal of Neuroanaesthesiology and Critical Care.  , 2024
Link: https://doi.org/10.1055/..
 
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3

Gender and sex bias in COVID-19 epidemiological data throug..:

Díaz-Rodríguez, Natalia ; Binkytė, Rūta ; Bakkali, Wafae...
Information Processing & Management.  60 (2023)  3 - p. 103276 , 2023
Link: https://doi.org/10.1016/..
 
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4

Explainable Artificial Intelligence (XAI): What we know and..:

Ali, Sajid ; Abuhmed, Tamer ; El-Sappagh, Shaker...
Information Fusion.  99 (2023)  - p. 101805 , 2023
Link: https://doi.org/10.1016/..
 
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5

Credit Risk Scoring Using a Data Fusion Approach:

, In: Computational Collective Intelligence; Lecture Notes in Computer Science,
El-Qadi, Ayoub ; Trocan, Maria ; Conde-Cespedes, Patricia.. - p. 769-781 , 2023
Link: https://doi.org/10.1007/..
 
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6

Responsible and human centric AI-based insurance advisors:

Pisoni, Galena ; Díaz-Rodríguez, Natalia
Information Processing & Management.  60 (2023)  3 - p. 103273 , 2023
Link: https://doi.org/10.1016/..
 
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7

Towards a more efficient computation of individual attribut..:

Angelotti, Giorgio ; Díaz-Rodríguez, Natalia
Knowledge-Based Systems.  260 (2023)  - p. 110189 , 2023
Link: https://doi.org/10.1016/..
 
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8

Using Curiosity for an Even Representation of Tasks in Cont..:

Pathmanathan, Pankayaraj ; Díaz-Rodríguez, Natalia ; Del Ser, Javier
Cognitive Computation.  16 (2023)  1 - p. 425-453 , 2023
Link: https://doi.org/10.1007/..
 
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9

Connecting the dots in trustworthy Artificial Intelligence:..:

Díaz-Rodríguez, Natalia ; Del Ser, Javier ; Coeckelbergh, Mark...
Information Fusion.  99 (2023)  - p. 101896 , 2023
Link: https://doi.org/10.1016/..
 
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10

Collective eXplainable AI: Explaining Cooperative Strategie..:

Heuillet, Alexandre ; Couthouis, Fabien ; Diaz-Rodriguez, Natalia
IEEE Computational Intelligence Magazine.  17 (2022)  1 - p. 59-71 , 2022
Link: https://doi.org/10.1109/..
 
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11

PLENARY: Explaining black-box models in natural language th..:

Kaczmarek-Majer, Katarzyna ; Casalino, Gabriella ; Castellano, Giovanna...
Information Sciences.  614 (2022)  - p. 374-399 , 2022
Link: https://doi.org/10.1016/..
 
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12

Information fusion as an integrative cross-cutting enabler ..:

Holzinger, Andreas ; Dehmer, Matthias ; Emmert-Streib, Frank...
Information Fusion.  79 (2022)  - p. 263-278 , 2022
Link: https://doi.org/10.1016/..
 
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13

OG-SGG: Ontology-Guided Scene Graph Generation—A Case Study..:

Amodeo, Fernando ; Caballero, Fernando ; Diaz-Rodriguez, Natalia.
IEEE Access.  10 (2022)  - p. 132564-132583 , 2022
Link: https://doi.org/10.1109/..
 
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14

Feature contribution alignment with expert knowledge for ar..:

El Qadi, Ayoub ; Trocan, Maria ; Díaz-Rodríguez, Natalia.
Signal, Image and Video Processing.  17 (2022)  2 - p. 427-434 , 2022
Link: https://doi.org/10.1007/..
 
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15

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology ..:

Díaz-Rodríguez, Natalia ; Lamas, Alberto ; Sanchez, Jules...
Information Fusion.  79 (2022)  - p. 58-83 , 2022
Link: https://doi.org/10.1016/..
 
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