Elena Mocanu

According to our database, Elena Mocanu authored at least 23 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation.

Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu

CoRR, 2023

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.

Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders.

Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy

Mach. Learn., 2022

Dynamic Sparse Network for Time Series Classification: Learning What to "See".

Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dynamic Sparse Training for Deep Reinforcement Learning.

Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.

Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

CoRR, 2021

Sparse Training Theory for Scalable and Efficient Agents.

Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Effectiveness of neural language models for word prediction of textual mammography reports.

Mihai David Marin, Elena Mocanu, Christin Seifert

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

On-Line Building Energy Optimization Using Deep Reinforcement Learning.

Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg

IEEE Trans. Smart Grid, 2019

Collaborative learning for classification and prediction of building energy flexibility.

Anil Kumar, Elena Mocanu, Muhammad Babar, Phuong H. Nguyen

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data.

Kilian Ros, Elena Mocanu, Christin Seifert

Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

2018

Enabling Cooperative Behavior for Building Demand Response Based on Extended Joint Action Learning.

L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, I. G. Kamphuis

IEEE Trans. Ind. Informatics, 2018

One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach.

Decebal Constantin Mocanu, Elena Mocanu

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.

Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta

CoRR, 2017

Deep learning versus traditional machine learning methods for aggregated energy demand prediction.

Nikolaos G. Paterakis, Elena Mocanu, Madeleine Gibescu, Bart Stappers, Walter van Alst

Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

2016

A topological insight into restricted Boltzmann machines.

Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta

Mach. Learn., 2016

Energy Disaggregation for Real-Time Building Flexibility Detection.

Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu

CoRR, 2016

Big IoT data mining for real-time energy disaggregation in buildings.

Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Demand forecasting at low aggregation levels using Factored Conditional Restricted Boltzmann Machine.

Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Emil Mahler Larsen, Pierre Pinson

Proceedings of the Power Systems Computation Conference, 2016

2015

Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach.

L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Wil L. Kling

Proceedings of the SMARTGREENS 2015, 2015

2014

Inexpensive user tracking using Boltzmann Machines.

Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2008

Acquisition and Algorithms for Fluorescence Applications.

Elena Mocanu, Paul E. Sterian

Proceedings of the Bioinformatics Research and Development, 2008