Elena Mocanu

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 29

Top Topics

Boltzmann Machines

Cooperative Behavior

Demand Forecasting

Top Venues

Publications

Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR (2023)
Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS (2023)
Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. CoRR (2023)
Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Mach. Learn. 111 (1) (2022)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "See". NeurIPS (2022)
Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
Dynamic Sparse Network for Time Series Classification: Learning What to "see". CoRR (2022)
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
Dynamic Sparse Training for Deep Reinforcement Learning. IJCAI (2022)
Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR (2021)
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
Dynamic Sparse Training for Deep Reinforcement Learning. CoRR (2021)
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
Sparse Training Theory for Scalable and Efficient Agents. AAMAS (2021)
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
Sparse Training Theory for Scalable and Efficient Agents. CoRR (2021)
Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. CoRR (2020)
Mihai David Marin, Elena Mocanu, Christin Seifert
Effectiveness of neural language models for word prediction of textual mammography reports. SMC (2020)
Kilian Ros, Elena Mocanu, Christin Seifert
Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. CIC (2019)
Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg
On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Trans. Smart Grid 10 (4) (2019)
Anil Kumar, Elena Mocanu, Muhammad Babar, Phuong H. Nguyen
Collaborative learning for classification and prediction of building energy flexibility. ISGT Europe (2019)
Decebal Constantin Mocanu, Elena Mocanu
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach. CoRR (2018)
L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, I. G. Kamphuis
Enabling Cooperative Behavior for Building Demand Response Based on Extended Joint Action Learning. IEEE Trans. Ind. Informatics 14 (1) (2018)
Decebal Constantin Mocanu, Elena Mocanu
One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach. AAMAS (2018)
Nikolaos G. Paterakis, Elena Mocanu, Madeleine Gibescu, Bart Stappers, Walter van Alst
Deep learning versus traditional machine learning methods for aggregated energy demand prediction. ISGT Europe (2017)
Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective. CoRR (2017)
Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg
On-line Building Energy Optimization using Deep Reinforcement Learning. CoRR (2017)
Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
A topological insight into restricted Boltzmann machines. Mach. Learn. 104 (2-3) (2016)
Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
A topological insight into restricted Boltzmann machines. CoRR (2016)
Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
Big IoT data mining for real-time energy disaggregation in buildings. SMC (2016)
Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Emil Mahler Larsen, Pierre Pinson
Demand forecasting at low aggregation levels using Factored Conditional Restricted Boltzmann Machine. PSCC (2016)
Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu
Energy Disaggregation for Real-Time Building Flexibility Detection. CoRR (2016)
L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Wil L. Kling
Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach. SMARTGREENS (2015)
Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov
Inexpensive user tracking using Boltzmann Machines. SMC (2014)
Elena Mocanu, Paul E. Sterian
Acquisition and Algorithms for Fluorescence Applications. BIRD (2008)