Ramin Hasani
TitleCited byYear
OpenWorm: overview and recent advances in integrative biological simulation of Caenorhabditis elegans
GP Sarma, CW Lee, T Portegys, V Ghayoomie, T Jacobs, B Alicea, ...
Philosophical Transactions of the Royal Society B 373 (1758), 20170382, 2018
An automated auto-encoder correlation-based health-monitoring and prognostic method for machine bearings
RM Hasani, G Wang, R Grosu
arXiv preprint arXiv:1703.06272, 2017
c302: a multiscale framework for modelling the nervous system of Caenorhabditis elegans
P Gleeson, D Lung, R Grosu, R Hasani, SD Larson
Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018
SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans
RM Hasani, V Beneder, M Fuchs, D Lung, R Grosu
34th International Conference on Machine Learning (ICML), Workshop on …, 2017
Efficient modeling of complex analog integrated circuits using neural networks
RM Hasani, D Haerle, R Grosu
2016 12th Conference on Ph. D. Research in Microelectronics and Electronics …, 2016
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process
G Wang, RM Hasani, Y Zhu, R Grosu
2017 IEEE International Conference on Industrial Technology (ICIT), 1450-1454, 2017
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks
R Hasani, M Lechner, A Amini, D Rus, R Grosu
arxiv preprint arXiv:1809.04423, 2018
Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection
J DelPreto, AF Salazar-Gomez, S Gil, RM Hasani, FH Guenther, D Rus
Robotics: Science and Systems (RSS), 2018
Non-associative learning representation in the nervous system of the nematode Caenorhabditis elegans
RM Hasani, M Fuchs, V Beneder, R Grosu
arXiv preprint arXiv:1703.06264, 2017
Compositional neural-network modeling of complex analog circuits
R Hasani, D Haerle, C Baumgartner, AR Lomuscio, R Grosu
International Joint Conference on Neural Networks (IJCNN), 2017
Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans
MA Islam, Q Wang, RM Hasani, O Balún, EM Clarke, R Grosu, SA Smolka
2016 IEEE International High Level Design Validation and Test Workshop …, 2016
Worm-level Control through Search-based Reinforcement Learning
M Lechner, R Grosu, RM Hasani
Neural Information Processing Systems (NIPS), Deep Reinforcement Learning …, 2017
Control of the correlation of spontaneous neuron activity in biological and noise-activated CMOS artificial neural microcircuits
RM Hasani, G Ferrari, H Yamamoto, S Kono, K Ishihara, S Fujimori, ...
arXiv preprint arXiv:1702.07426, 2017
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
RM Hasani, A Amini, M Lechner, F Naser, R Grosu, D Rus
arXiv preprint arXiv:1809.03864, 2018
Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording
M Fuchs, M Zimmer, R Grosu, RM Hasani
Neural Information Processing Systems (NIPS), Worm's Neural Information …, 2017
Liquid Time-constant Recurrent Neural Networks as Universal Approximators
RM Hasani, M Lechner, A Amini, D Rus, R Grosu
arXiv preprint arXiv:1811.00321, 2018
Neuronal Circuit Policies
M Lechner, RM Hasani, R Grosu
arXiv preprint arXiv:1803.08554, 2018
Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model
RM Hasani, G Wang, R Grosu
International Work-Conference on Artificial Neural Networks, 392-402, 2017
A generative neural network model for the quality prediction of work in progress products
G Wang, A Ledwoch, RM Hasani, R Grosu, A Brintrup
Applied Soft Computing 85, 105683, 2019
A Machine Learning Suite for Machine Components’ Health-Monitoring
R Hasani, G Wang, R Grosu
Proceedings of the AAAI Conference on Artificial Intelligence 33, 9472-9477, 2019
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