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Integrating Explainability into Graph Neural Network Models for the Prediction of X-ray Absorption Spectra

• Authors : Kotobi, Amir; Singh, Kanishka; Höche, Daniel

• Source: Kotobi , A , Singh , K , Höche , D , Bari , S , Meißner , R H & Bande , A 2023 , ' Integrating Explainability into Graph Neural Network Models for the Prediction of

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Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders

• Authors : van de Leur, Rutger; Bos, Max; Taha, Karim

Subjects: Deep neural network; Deep learning; Explainable

• Source: van de Leur , R , Bos , M , Taha , K , Sammani , A , Yeung , M W , van Duijvenboden , S , Lambiase , P , Hassink , R , van der Harst , P , Doevendans , P , Gupta , D & van Es , R 2022 , ' Improving

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Companies Committed to Responsible AI:From Principles towards Implementation and Regulation?

• Authors : de Laat, Paul B.

Subjects: Accountability; AI principles; Bias

• Source: de Laat , P B 2021 , ' Companies Committed to Responsible AI : From Principles towards Implementation and Regulation? ' , Philosophy and Technology , vol. 34 , no. 4 , pp. 1135-1193 .

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Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data

• Authors : Hudson, Dan; den Hartigh, Ruud; Meerhoff, Rens L. A.

Subjects: injury prediction; machine learning; multimodal perspective

• Source: Hudson , D , den Hartigh , R , Meerhoff , R L A & Atzmueller , M 2023 , Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data . in 23rd IEEE International Conference on

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Applications of natural language processing in software traceability:A systematic mapping study

• Authors : Pauzi, Zaki; Capiluppi, Andrea

Subjects: Information retrieval; Natural language processing; Software traceability

• Source: Pauzi , Z & Capiluppi , A 2023 , ' Applications of natural language processing in software traceability : A systematic mapping study ' , Journal of Systems and Software , vol. 198 , 111616 .

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Optimizing and interpreting the latent space of the conditional text-to-image GANs

• Authors : Zhang, Zhenxing; Schomaker, Lambert

Subjects: A Good & Bad data set; Generative adversarial network (GAN); Latent-space manipulation

• Source: Zhang , Z & Schomaker , L 2024 , ' Optimizing and interpreting the latent space of the conditional text-to-image GANs ' , Neural Computing and Applications , vol. 36 , no. 5 , pp. 2549–2572 .

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Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

• Authors : Wang, Jingxuan; Sourlos, Nikos; Heuvelmans, Marjolein

• Source: Wang , J , Sourlos , N , Heuvelmans , M , Prokop , M , Vliegenthart , R & van Ooijen , P 2024 , ' Explainable machine learning model based on clinical factors for predicting the disappearance of

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Visual Quality Control via eXplainable AI and the Case of Human in the AI Loop

• Authors : Emmanouilidis, Christos; Rica-Alarcón, Elena;

Subjects: Explainable AI; Quality control; Human in the loop

• Source: Emmanouilidis , C & Rica-Alarcón , E 2023 , Visual Quality Control via eXplainable AI and the Case of Human in the AI Loop . in A Crespo Márquez , J F Gómez Fernández , V González-Prida Díaz & J

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Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation

• Authors : Zhang, Zhenxing

• Source: Zhang , Z 2023 , ' Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation ' , Doctor of Philosophy , University of Groningen , [Groningen] .

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LCT-1 at SemEval-2023 Task 10:Pre-training and Multi-task Learning for Sexism Detection and Classification

• Authors : Chernyshev, Konstantin; Garanina, Ekaterina; Bayram, Duygu ...

• Source: Chernyshev , K , Garanina , E , Bayram , D , Zheng , Q & Edman , L 2023 , LCT-1 at SemEval-2023 Task 10 : Pre-training and Multi-task Learning for Sexism Detection and Classification . in A K Ojha , A

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