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Debabrota Basu
Debabrota Basu
Faculty, Inria at University of Lille and CNRS (CRIStAL)
Potvrđena adresa e-pošte na comp.nus.edu.sg - Početna stranica
Naslov
Citirano
Citirano
Godina
Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm
S Bhattacharyya, D Basu, A Konar, DN Tibarewala
Robotics and Autonomous Systems 68, 104-115, 2015
852015
Learn-as-you-go with megh: Efficient live migration of virtual machines
D Basu, X Wang, Y Hong, H Chen, S Bressan
IEEE Transactions on Parallel and Distributed Systems, 1-1, 2019
812019
Learn-as-you-go with megh: Efficient live migration of virtual machines
D Basu, X Wang, Y Hong, H Chen, S Bressan
International Conference on Distributed Computing Systems (ICDCS), 2608-2609, 2017
812017
Justicia: A stochastic SAT approach to formally verify fairness
B Ghosh, D Basu, KS Meel
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7554-7563, 2021
412021
Differential privacy for multi-armed bandits: What is it and what is its cost?
D Basu, C Dimitrakakis, A Tossou
arXiv preprint arXiv:1905.12298, 2019
382019
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
A Tossou, D Basu, C Dimitrakakis
arXiv preprint arXiv:1905.12425, 2019
322019
A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization
S Das, S Biswas, BK Panigrahi, S Kundu, D Basu
IEEE Transactions on Cybernetics 44 (10), 1884-1897, 2014
322014
Regularized cost-model oblivious database tuning with reinforcement learning
D Basu, Q Lin, W Chen, HT Vo, Z Yuan, P Senellart, S Bressan
Transactions on Large-Scale Data-and Knowledge-Centered Systems XXVIII …, 2016
282016
UDO: universal database optimization using reinforcement learning
J Wang, I Trummer, D Basu
arXiv preprint arXiv:2104.01744, 2021
272021
Cost-model oblivious database tuning with reinforcement learning
D Basu, Q Lin, W Chen, HT Vo, Z Yuan, P Senellart, S Bressan
Database and Expert Systems Applications: 26th International Conference …, 2015
252015
Sentinel: taming uncertainty with ensemble based distributional reinforcement learning
H Eriksson, D Basu, M Alibeigi, C Dimitrakakis
Uncertainty in Artificial Intelligence, 631-640, 2022
222022
Algorithmic fairness verification with graphical models
B Ghosh, D Basu, KS Meel
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9539-9548, 2022
172022
Deep learning for deep waters: an expert-in-the-loop machine learning framework for marine sciences
I Ryazanov, AT Nylund, D Basu, IM Hassellöv, A Schliep
Journal of Marine Science and Engineering 9 (2), 169, 2021
142021
Differential privacy for regularised linear regression
A Dandekar, D Basu, S Bressan
International Conference on Database and Expert Systems Applications, 483-491, 2018
142018
When privacy meets partial information: A refined analysis of differentially private bandits
A Azize, D Basu
Advances in Neural Information Processing Systems 35, 32199-32210, 2022
122022
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
A Dandekar, D Basu, S Bressan
Workshop on Privacy Preserving AI, AAAI, 2020
122020
Construction and random generation of hypergraphs with prescribed degree and dimension sequences
NA Arafat, D Basu, L Decreusefond, S Bressan
Database and Expert Systems Applications: 31st International Conference …, 2020
102020
Studies of pulverized coal flames
B Ghosh, D Basu, NK Roy
Symposium (International) on Combustion 6 (1), 595-602, 1957
101957
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics
Y Flet-Berliac, D Basu
RLDM 2022-The Multi-disciplinary Conference on Reinforcement Learning and …, 2021
92021
Bayesian reinforcement learning via deep, sparse sampling
D Grover, D Basu, C Dimitrakakis
International Conference on Artificial Intelligence and Statistics, 3036-3045, 2020
92020
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