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Singh Akash

HEC Liège : UER > UER Opérations : Systèmes d'information de gestion

HEC Liège Research

HEC Liège Research: Business Analytics & Supply Chain Mgmt

See author's contact details
ORCID
0000-0003-1679-8232
Main Referenced Co-authors
Hellinckx, Peter (2)
Ittoo, Ashwin  (2)
Latré, Steven (2)
Mets, Kevin (2)
Oramas, José (2)
Main Referenced Keywords
Uncertainty (3); Machine learning (2); Action recognition (1); Capsule network (1); Capsule networks (1);
Main Referenced Unit & Research Centers
Digital lab (1)
IDLab, university of Antwerpen (1)
Main Referenced Disciplines
Computer science (4)
Quantitative methods in economics & management (1)
Google Scholar

Publications (total 5)

The most downloaded
57 downloads
Singh, A., de Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Deep Set Conditioned Latent Representations for Action Recognition. In VISIGRAPP 2022. Switzerland: Springer Nature Computer Science journal. doi:10.5220/0010838400003124 https://hdl.handle.net/2268/290532

The most cited

1 citations (OpenAlex)

Singh, A., de Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Deep Set Conditioned Latent Representations for Action Recognition. In VISIGRAPP 2022. Switzerland: Springer Nature Computer Science journal. doi:10.5220/0010838400003124 https://hdl.handle.net/2268/290532

The most significant

Singh, A., De Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Task Independent Capsule-Based Agents for Deep Q-Learning. In Artificial Intelligence and Machine Learning. Switzerland: Springer Nature. doi:10.1007/978-3-030-93842-0_4
Peer reviewed

Singh, A., de Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Deep Set Conditioned Latent Representations for Action Recognition. In VISIGRAPP 2022. Switzerland: Springer Nature Computer Science journal. doi:10.5220/0010838400003124
Peer reviewed


Singh, A., Ittoo, A., Pierre, A., & Vandomme, E. (29 January 2025). Conformal Prediction: Calibrated Decision-Making [Paper presentation]. Joint ORBEL - NGB conference on Operations Research, Maastricht, Netherlands.

Singh, A., Ittoo, A., Ars, P., Dehouck, F., Collienne, F., Marlie, N., To Hoang, T., & Dumazy, N. (2024). Beyond Yes or No: Making Reliable Decisions and improving personalized customer service. doi:10.13140/RG.2.2.24670.75843https://orbi.uliege.be/handle/2268/328138

Singh, A. (16 May 2024). Heterogeneous Ensemble for Uncertainty Quantification (HEUQ) in churn management [Paper presentation]. Research in the Age of AI, Liege, Belgium.

Singh, A., De Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Task Independent Capsule-Based Agents for Deep Q-Learning. In Artificial Intelligence and Machine Learning. Switzerland: Springer Nature. doi:10.1007/978-3-030-93842-0_4
Peer reviewed

Singh, A., de Schepper, T., Mets, K., Hellinckx, P., Oramas, J., & Latré, S. (2022). Deep Set Conditioned Latent Representations for Action Recognition. In VISIGRAPP 2022. Switzerland: Springer Nature Computer Science journal. doi:10.5220/0010838400003124
Peer reviewed

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