Decebal Constantin Mocanu

127 papers A* 13A 12B 11C 3Journal 75Unranked 13

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	J	`jnl`	Batch Matrix-form Equations and Implementation of Multilayer Perceptrons. CoRR Wieger Wesselink, Bram Grooten, Huub van de Wetering, Qiao Xiao, Decebal Constantin Mocanu
2025	A	`conf`	Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity. AAMAS Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor
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`	Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution. CoRR Qiao Xiao, Alan Ansell, Boqian Wu, Lu Yin, Mykola Pechenizkiy, Shiwei Liu, Decebal Constantin 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
2025	J	`jnl`	Sparse-to-Sparse Training of Diffusion Models. CoRR Inês Cardoso Oliveira, Decebal Constantin Mocanu, Luis A. Leiva
2025	J	`jnl`	Sparse-to-Sparse Training of Diffusion Models. Trans. Mach. Learn. Res. Inês Cardoso Oliveira, Decebal Constantin Mocanu, Luis A. Leiva
2024	—	`conf`	Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers. ECML/PKDD (1) Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu
2024	A	`conf`	Are Sparse Neural Networks Better Hard Sample Learners? BMVC Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	J	`jnl`	Are Sparse Neural Networks Better Hard Sample Learners? CoRR Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	J	`jnl`	Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity. CoRR Calarina Muslimani, Bram Grooten, Deepak Ranganatha Sastry Mamillapalli, Mykola Pechenizkiy, Decebal Constantin Mocanu, Matthew E. Taylor
2024	—	`conf`	Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates. CPAL Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren
2024	A	`conf`	Dynamic Data Pruning for Automatic Speech Recognition. INTERSPEECH Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu
2024	J	`jnl`	Dynamic Data Pruning for Automatic Speech Recognition. CoRR Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu
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
2024	J	`jnl`	FOCIL: Finetune-and-Freeze for Online Class Incremental Learning by Training Randomly Pruned Sparse Experts. CoRR Murat Onur Yildirim, Elif Ceren Gok Yildirim, Decebal Constantin Mocanu, Joaquin Vanschoren
2024	J	`jnl`	LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration. CoRR Camiel Oerlemans, Bram Grooten, Michiel Braat, Alaa Alassi, Emilia Silvas, Decebal Constantin Mocanu
2024	A	`conf`	MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. AAMAS Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	A	`conf`	Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks. AISTATS Kaiting Liu, Zahra Atashgahi, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024	A	`conf`	Unveiling the Power of Sparse Neural Networks for Feature Selection. ECAI Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2024	J	`jnl`	Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2023	J	`jnl`	Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers. CoRR Zahra Atashgahi, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin 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`	Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates. CoRR Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren
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
2023	A*	`conf`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	Hu-bot: promoting the cooperation between humans and mobile robots. Neural Comput. Appl. Karine Miras, Decebal Constantin Mocanu, A. E. Eiben
2023	J	`jnl`	MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. CoRR Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023	A*	`conf`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
2023	J	`jnl`	Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. CoRR Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu
2023	J	`jnl`	Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks. Trans. Mach. Learn. Res. Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu
2022	J	`jnl`	A brain-inspired algorithm for training highly sparse neural networks. Mach. Learn. Zahra Atashgahi, Joost Pieterse, Shiwei Liu, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2022	—	`conf`	Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks. ECML/PKDD (3) Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
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`	Memory-free Online Change-point Detection: A Novel Neural Network Approach. CoRR Zahra Atashgahi, Decebal Constantin Mocanu, Raymond N. J. Veldhuis, Mykola Pechenizkiy
2022	J	`jnl`	More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
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
2022	J	`jnl`	Situation-Aware Drivable Space Estimation for Automated Driving. IEEE Trans. Intell. Transp. Syst. Manuel Muñoz Sánchez, Denis Pogosov, Emilia Silvas, Decebal Constantin Mocanu, Jos Elfring, René van de Molengraft
2022	J	`jnl`	Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training. CoRR Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu
2022	A*	`conf`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. ICLR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	J	`jnl`	The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022	A*	`conf`	Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu
2022	J	`jnl`	Where to Pay Attention in Sparse Training for Feature Selection? CoRR Ghada Sokar, Zahra Atashgahi, Mykola Pechenizkiy, Decebal Constantin Mocanu
2022	—	`conf`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2022	J	`jnl`	You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2021	J	`jnl`	Addressing the Stability-Plasticity Dilemma via Knowledge-Aware Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	A*	`conf`	Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. ICML Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	J	`jnl`	Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. CoRR Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, 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`	Efficient and effective training of sparse recurrent neural networks. Neural Comput. Appl. Shiwei Liu, Iftitahu Ni'mah, Vlado Menkovski, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	J	`jnl`	Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evol. Comput. Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy
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	J	`jnl`	Learning Invariant Representation for Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	A	`conf`	Self-Attention Meta-Learner for Continual Learning. AAMAS Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	J	`jnl`	Self-Attention Meta-Learner for Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2021	A*	`conf`	Selfish Sparse RNN Training. ICML Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
2021	J	`jnl`	Selfish Sparse RNN Training. CoRR Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
2021	J	`jnl`	SpaceNet: Make Free Space for Continual Learning. Neurocomputing Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
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
2021	A*	`conf`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. NeurIPS Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	J	`jnl`	Sparse Training via Boosting Pruning Plasticity with Neuroregeneration. CoRR Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021	J	`jnl`	Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware. Neural Comput. Appl. Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy
2021	J	`jnl`	Truly Sparse Neural Networks at Scale. CoRR Selima Curci, Decebal Constantin Mocanu, Mykola Pechenizkiy
2020	B	`conf`	A Hybrid Framework Combining Vehicle System Knowledge with Machine Learning Methods for Improved Highway Trajectory Prediction. SMC Manuel Muñoz Sánchez, Emilia Silvas, Denis Pogosov, Decebal Constantin Mocanu
2020	J	`jnl`	Novelty Producing Synaptic Plasticity. CoRR Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
2020	—	`conf`	Novelty producing synaptic plasticity. GECCO Companion Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy
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
2020	J	`jnl`	Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring. CoRR Sibylle Hess, Wouter Duivesteijn, Decebal Constantin Mocanu
2020	J	`jnl`	SpaceNet: Make Free Space For Continual Learning. CoRR Ghada Sokar, Decebal Constantin Mocanu, Mykola Pechenizkiy
2020	J	`jnl`	Topological Insights in Sparse Neural Networks. CoRR Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2020	—	`conf`	Topological Insights into Sparse Neural Networks. ECML/PKDD (3) Shiwei Liu, Tim van der Lee, Anil Yaman, Zahra Atashgahi, Davide Ferraro, Ghada Sokar, Mykola Pechenizkiy, Decebal Constantin Mocanu
2019	J	`jnl`	Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. CoRR Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy
2019	J	`jnl`	Evolving and Understanding Sparse Deep Neural Networks using Cosine Similarity. CoRR Joost Pieterse, Decebal Constantin Mocanu
2019	J	`jnl`	Intrinsically Sparse Long Short-Term Memory Networks. CoRR Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy
2019	J	`jnl`	Learning with Delayed Synaptic Plasticity. CoRR Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
2019	A	`conf`	Learning with delayed synaptic plasticity. GECCO Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy
2019	J	`jnl`	On improving deep learning generalization with adaptive sparse connectivity. CoRR Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy
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
2019	J	`jnl`	Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance. Inf. Fusion Francesco Cauteruccio, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta, Decebal Constantin Mocanu, Cristian Perra, Giorgio Terracina, Maria Torres Vega
2019	J	`jnl`	Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware. CoRR Shiwei Liu, Decebal Constantin Mocanu, Amarsagar Reddy Ramapuram Matavalam, Yulong Pei, Mykola Pechenizkiy
2018	J	`jnl`	Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. CoRR Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy
2018	A	`conf`	Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. GECCO Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy
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
2018	—	`conf`	Synopsis of the PhD Thesis - Network Computations in Artificial Intelligence. ITC (1) Decebal Constantin Mocanu
2017	J	`jnl`	Deep Learning for Quality Assessment in Live Video Streaming. IEEE Signal Process. Lett. Maria Torres Vega, Decebal Constantin Mocanu, Jeroen Famaey, Stavros Stavrou, Antonio Liotta
2017	—	`conf`	Effect of lossy networks on stereoscopic 3D-video streams. BMSB Maria Torres Vega, Cristian Perra, Decebal Constantin Mocanu, Antonio Liotta
2017	J	`jnl`	Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognit. Decebal Constantin Mocanu, Haitham Bou-Ammar, Luis Puig, Eric Eaton, Antonio Liotta
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
2017	J	`jnl`	Predictive no-reference assessment of video quality. Signal Process. Image Commun. Maria Torres Vega, Decebal Constantin Mocanu, Stavros Stavrou, Antonio Liotta
2017	J	`jnl`	Unsupervised deep learning for real-time assessment of video streaming services. Multim. Tools Appl. Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta
2016	C	`conf`	A Regression Method for real-time video quality evaluation. MoMM Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta
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	J	`jnl`	An experimental survey of no-reference video quality assessment methods. Int. J. Pervasive Comput. Commun. Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, 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`	Correlating QoE and Technical Parameters of an SAP System in an Enterprise Environment. QCMan@ITC Kathrin Borchert, Matthias Hirth, Thomas Zinner, Decebal Constantin Mocanu
2016	J	`jnl`	Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines. CoRR Decebal Constantin Mocanu, Haitham Bou-Ammar, Luis Puig, Eric Eaton, Antonio Liotta
2016	A*	`conf`	On the Synergy of Network Science and Artificial Intelligence. IJCAI Decebal Constantin Mocanu
2016	J	`jnl`	Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data. CoRR Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton, Peter Stone, Antonio Liotta
2016	J	`jnl`	Predictive No-Reference Assessment of Video Quality. CoRR Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta
2016	—	`conf`	Predictive Power Control in Wireless Sensor Networks. IoTDI Michele Chincoli, Aly Aamer Syed, Decebal Constantin Mocanu, Antonio Liotta
2015	C	`conf`	Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams. MoMM Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, Antonio Liotta
2015	B	`conf`	Cognitive no-reference video quality assessment for mobile streaming services. QoMEX Maria Torres Vega, Emanuele Giordano, Decebal Constantin Mocanu, Dian Tjondronegoro, Antonio Liotta
2015	B	`conf`	Cognitive streaming on android devices. IM Maria Torres Vega, Decebal Constantin Mocanu, Rosario Barresi, Giancarlo Fortino, Antonio Liotta
2015	J	`jnl`	Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognit. Lett. Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls
2015	J	`jnl`	No-reference video quality measurement: added value of machine learning. J. Electronic Imaging Decebal Constantin Mocanu, Jeevan Pokhrel, Juan Pablo Garella, Janne Seppänen, Eirini Liotou, Manish Narwaria
2015	B	`conf`	Reduced reference image quality assessment via Boltzmann Machines. IM Decebal Constantin Mocanu, Georgios Exarchakos, Haitham Bou-Ammar, Antonio Liotta
2015	—	`conf`	Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics. ICDM Workshops Decebal Constantin Mocanu, Maria Torres Vega, Antonio Liotta
2014	B	`conf`	Deep learning for objective quality assessment of 3D images. ICIP Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta
2014	B	`conf`	End-to-end performance evaluation in high-speed wireless networks. CNSM Maria Torres Vega, Shihuan Zou, Decebal Constantin Mocanu, Eduward Tangdiongga, Antonius M. J. Koonen, Antonio Liotta
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
2014	B	`conf`	Network performance assessment with Quality of experience benchmarks. CNSM Decebal Constantin Mocanu, Giuliano Santandrea, Walter Cerroni, Franco Callegati, Antonio Liotta
2014	B	`conf`	Node centrality awareness via swarming effects. SMC Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta
2014	B	`conf`	When does lower bitrate give higher quality in modern video services? NOMS Decebal Constantin Mocanu, Antonio Liotta, Arianna Ricci, Maria Torres Vega, Georgios Exarchakos
2013	—	`conf`	Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. ECML/PKDD (2) Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss
2013	C	`conf`	Instantaneous Video Quality Assessment for lightweight devices. MoMM Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos
2013	—	`conf`	Predicting Battery Depletion of Neighboring Wireless Sensor Nodes. ICA3PP (2) Roshan Kotian, Georgios Exarchakos, Decebal Constantin Mocanu, Antonio Liotta