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Debabrota Basu
Debabrota Basu
Faculty, Inria at University of Lille and CNRS (CRIStAL)
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
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
782015
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
492019
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
492017
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
312014
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
282019
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, 96-132, 2016
222016
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
A Tossou, D Basu, C Dimitrakakis
arXiv preprint arXiv:1905.12425, 2019
212019
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, 253-268, 2015
202015
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
192021
Studies of pulverized coal flames
B Ghosh, D Basu, NK Roy
Symposium (International) on Combustion 6 (1), 595-602, 1957
111957
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
A Dandekar, D Basu, S Bressan
Workshop on Privacy Preserving AI, AAAI, 2020
92020
Multipopulation-based differential evolution with speciation-based response to dynamic environments
S Kundu, D Basu, SS Chaudhuri
International Conference on Swarm, Evolutionary, and Memetic Computing, 222-235, 2013
92013
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning
H Eriksson, D Basu, M Alibeigi, C Dimitrakakis
Uncertainty in Artificial Intelligence, 631-640, 2022
82022
UDO: universal database optimization using reinforcement learning
J Wang, I Trummer, D Basu
arXiv preprint arXiv:2104.01744, 2021
82021
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
82021
Algorithmic fairness verification with graphical models
B Ghosh, D Basu, KS Meel
Proceedings of AAAI 2, 2022
72022
Differential privacy for regularised linear regression
A Dandekar, D Basu, S Bressan
International Conference on Database and Expert Systems Applications, 483-491, 2018
72018
Construction and random generation of hypergraphs with prescribed degree and dimension sequences
NA Arafat, D Basu, L Decreusefond, S Bressan
International Conference on Database and Expert Systems Applications, 130-145, 2020
62020
Differentially private non-parametric machine learning as a service
A Dandekar, D Basu, S Bressan
International Conference on Database and Expert Systems Applications, 189-204, 2019
62019
Bayesian reinforcement learning via deep, sparse sampling
D Grover, D Basu, C Dimitrakakis
International Conference on Artificial Intelligence and Statistics, 3036-3045, 2020
52020
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