Special Issue on Towards Advancements in Machine Learning for Exploiting Large-Scale and Heterogeneous Repositories (TAM-LHR)

In this topical collection (9 articles)

1. S.I.: TAM-LHR

   Emo-mirror: a proposal to support emotion recognition in children with autism spectrum disorders

   Rodolfo Pavez, Jaime Diaz, Jeferson Arango-Lopez… Pages 7913-7924

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2. 

   S.I. : TAM-LHR

   Neural correlates of affective content: application to perceptual tagging of video

   Shanu Sharma, Ashwani Kumar Dubey, Priya Ranjan… Pages 7925-7941

3. 

   S.I.: TAM-LHR

   Multi-objective flower pollination algorithm: a new technique for EEG signal denoising

   Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader… Pages 7943-7962

4. 

   S.I.: TAM-LHR

   Transfer learning for histopathology images: an empirical study

   Tayyab Aitazaz, Abdullah Tubaishat, Feras Al-Obeidat… Pages 7963-7974

5. 

   S.I.: TAM-LHR

   Discriminator-based adversarial networks for knowledge graph completion

   Abdallah Tubaishat, Tehseen Zia, Rehana Faiz… Pages 7975-7987

6. 

   S.I. : TAM-LHR

   A comparative study of fourteen deep learning networks for multi skin lesion classification (MSLC) on unbalanced data

   Ginni Arora, Ashwani Kumar Dubey, Zainul Abdin Jaffery… Pages 7989-8015

7. S.I. : TAM-LHR

   DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms

   Saad Razzaq, Babar Shah, Farkhund Iqbal… Pages 8017-8026

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8. 

   S.I.: Towards Advancements in Machine Learning for Exploiting Large-Scale and Heterogeneous Repositories (WorldCIST’21)

   Counterfactual explanation of Bayesian model uncertainty

   Gohar Ali, Feras Al-Obeidat, Abdallah Tubaishat… Pages 8027-8034

9. 

   S.I. : TAM-LHR

   MDVA-GAN: multi-domain visual attribution generative adversarial networks

   Muhammad Nawaz, Feras Al-Obeidat, Abdallah Tubaishat… Pages 8035-8050