Elena Mocanu - RankMe

36 papers A* 5A 3B 3Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity. CoRR Qiao Xiao, Boqian Wu, Andrey Poddubnyy, Elena Mocanu, Phuong H. Nguyen, Mykola Pechenizkiy, Decebal Constantin Mocanu
2025	A*	`conf`	Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. ICLR Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
2025	J	`jnl`	NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling. CoRR Bram Grooten, Farid Hasanov, Chenxiang Zhang, Qiao Xiao, Boqian Wu, Zahra Atashgahi, Ghada Sokar, Shiwei Liu, Lu Yin, Elena Mocanu, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	J	`jnl`	Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness. CoRR Boqian Wu, Qiao Xiao, Shunxin Wang, Nicola Strisciuglio, Mykola Pechenizkiy, Maurice van Keulen, Decebal Constantin Mocanu, Elena Mocanu
2024	A*	`conf`	E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. NeurIPS Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
2023	A	`conf`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. AAMAS Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	J	`jnl`	Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. CoRR Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew E. Taylor, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	J	`jnl`	E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. CoRR Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
2022	A*	`conf`	Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity. ICLR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2022	A*	`conf`	Dynamic Sparse Network for Time Series Classification: Learning What to "See". NeurIPS Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
2022	J	`jnl`	Dynamic Sparse Network for Time Series Classification: Learning What to "see". CoRR Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu
2022	A*	`conf`	Dynamic Sparse Training for Deep Reinforcement Learning. IJCAI Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2022	J	`jnl`	Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Mach. Learn. Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2021	J	`jnl`	Dynamic Sparse Training for Deep Reinforcement Learning. CoRR Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, Peter Stone
2021	J	`jnl`	FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity. CoRR Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	A	`conf`	Sparse Training Theory for Scalable and Efficient Agents. AAMAS Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
2021	J	`jnl`	Sparse Training Theory for Scalable and Efficient Agents. CoRR Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
2020	B	`conf`	Effectiveness of neural language models for word prediction of textual mammography reports. SMC Mihai David Marin, Elena Mocanu, Christin Seifert
2020	J	`jnl`	Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders. CoRR Zahra Atashgahi, Ghada Sokar, Tim van der Lee, Elena Mocanu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2019	—	`conf`	Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data. CIC Kilian Ros, Elena Mocanu, Christin Seifert
2019	—	`conf`	Collaborative learning for classification and prediction of building energy flexibility. ISGT Europe Anil Kumar, Elena Mocanu, Muhammad Babar, Phuong H. Nguyen
2019	J	`jnl`	On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Trans. Smart Grid Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg
2018	J	`jnl`	Enabling Cooperative Behavior for Building Demand Response Based on Extended Joint Action Learning. IEEE Trans. Ind. Informatics L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, I. G. Kamphuis
2018	A	`conf`	One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach. AAMAS Decebal Constantin Mocanu, Elena Mocanu
2018	J	`jnl`	One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach. CoRR Decebal Constantin Mocanu, Elena Mocanu
2017	—	`conf`	Deep learning versus traditional machine learning methods for aggregated energy demand prediction. ISGT Europe Nikolaos G. Paterakis, Elena Mocanu, Madeleine Gibescu, Bart Stappers, Walter van Alst
2017	J	`jnl`	Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective. CoRR Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
2017	J	`jnl`	On-line Building Energy Optimization using Deep Reinforcement Learning. CoRR Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg
2016	J	`jnl`	A topological insight into restricted Boltzmann machines. CoRR Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
2016	J	`jnl`	A topological insight into restricted Boltzmann machines. Mach. Learn. Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
2016	B	`conf`	Big IoT data mining for real-time energy disaggregation in buildings. SMC Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta
2016	—	`conf`	Demand forecasting at low aggregation levels using Factored Conditional Restricted Boltzmann Machine. PSCC Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Emil Mahler Larsen, Pierre Pinson
2016	J	`jnl`	Energy Disaggregation for Real-Time Building Flexibility Detection. CoRR Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu
2015	—	`conf`	Comfort-constrained Demand Flexibility Management for Building Aggregations using a Decentralized Approach. SMARTGREENS L. A. Hurtado Munoz, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Wil L. Kling
2014	B	`conf`	Inexpensive user tracking using Boltzmann Machines. SMC Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov
2008	—	`conf`	Acquisition and Algorithms for Fluorescence Applications. BIRD Elena Mocanu, Paul E. Sterian