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ORCIDAllmin Pradhap Singh Susaiyah
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2020 – today
- 2024
[i3]Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Balloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling:
PhilHumans: Benchmarking Machine Learning for Personal Health. CoRR abs/2405.02770 (2024)- 2023
- [c3]Libio Gonçalves Braz, Allmin Pradhap Singh Susaiyah:
A Controllable Lifestyle Simulator for Use in Deep Reinforcement Learning Algorithms. ICASSP 2023: 1-5 - [c2]Allmin Pradhap Singh Susaiyah, Aki Härmä
, Simone Balloccu, Ehud Reiter, Milan Petkovic:
Smart Selection of Useful Insights from Wearables. ICASSP Workshops 2023: 1-4 - [i2]Allmin Pradhap Singh Susaiyah, Abhinay Pandya, Aki Härmä:
Opinion Mining Using Population-tuned Generative Language Models. CoRR abs/2307.13173 (2023) - [i1]Allmin Pradhap Singh Susaiyah, Aki Härmä, Milan Petkovic:
Schema-Driven Actionable Insight Generation and Smart Recommendation. CoRR abs/2307.13176 (2023) - 2021
- [j1]Allmin Pradhap Singh Susaiyah, Aki Härmä, Ehud Reiter, Milan Petkovic:
Neural Scoring of Logical Inferences from Data using Feedback. Int. J. Interact. Multim. Artif. Intell. 6(5): 90-99 (2021) - 2020
- [c1]Allmin Pradhap Singh Susaiyah, Aki Härmä, Ehud Reiter, Rim Helaoui, Milan Petkovic:
Towards a Generalised Framework for Behaviour Insight Mining (short paper). SmartPhil@IUI 2020: 92-99
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last updated on 2024-06-10 20:31 CEST by the dblp team
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