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Publication search results
found 87 matches
- 2024
- Stefano Petrangeli, Haoliang Wang, Maurice Fisher, Dave Kozma, Massy Mahamli, Pia Blumenthal, Andy Parsons:
Integrating Content Authenticity with DASH Video Streaming. MMSys 2024: 492-498 - 2023
- Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Robert Kozma, Bay Vo:
A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation. Inf. Sci. 620: 105-124 (2023) - 2022
- Weihao Tan, Robert Kozma, Devdhar Patel:
Optimization methods for improved efficiency and performance of Deep Q-Networks upon conversion to neuromorphic population platforms. Knowl. Based Syst. 241: 108257 (2022) - 2021
- Péter Kisszékelyi, Zsuzsanna Fehér, Sándor Nagy, Péter Bagi, Petra Kozma, Zsófia Garádi, Miklós Dékány, Péter Huszthy, Béla Mátravölgyi, József Kupai:
Synthesis of C3-Symmetric Cinchona-Based Organocatalysts and Their Applications in Asymmetric Michael and Friedel-Crafts Reactions. Symmetry 13(3): 521 (2021) - Dániel Kozma, Pál Varga, Felix Larrinaga:
Dynamic Multilevel Workflow Management Concept for Industrial IoT Systems. IEEE Trans Autom. Sci. Eng. 18(3): 1354-1366 (2021) - Edward W. Tunstel, Manuel J. Cobo, Enrique Herrera-Viedma, Imre J. Rudas, Dimitar P. Filev, Ljiljana Trajkovic, C. L. Philip Chen, Witold Pedrycz, Michael H. Smith, Robert Kozma:
Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 5-21 (2021) - Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. AAAI 2021: 9816-9824 - 2020
- Jingyang Lu, Chenggang Yu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen, Robert Kozma:
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. ICPR Workshops (8) 2020: 118-133 - Dániel Kozma, Pál Varga, Kristóf Szabó:
Achieving Flexible Digital Production with the Arrowhead Workflow Choreographer. IECON 2020: 4503-4510 - Devdhar Patel, Robert Kozma:
Unsupervised Features Extracted using Winner-Take-All Mechanism Lead to Robust Image Classification. IJCNN 2020: 1-7 - Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. CoRR abs/2009.14456 (2020) - 2019
- Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma:
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. Neural Networks 120: 108-115 (2019) - Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally connected spiking neural networks for unsupervised feature learning. Neural Networks 119: 332-340 (2019) - Linda Kozma-Spytek, Paula Tucker, Christian Vogler:
Voice Telephony for Individuals with Hearing Loss: The Effects of Audio Bandwidth, Bit Rate and Packet Loss. ASSETS 2019: 3-15 - Dániel Kozma, Gábor Soós, Dániel Ficzere, Pál Varga:
Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. CNSM 2019: 1-6 - Dániel Kozma, Pál Varga, Felix Larrinaga:
Data-driven Workflow Management by utilising BPMN and CPN in IIoT Systems with the Arrowhead Framework. ETFA 2019: 385-392 - Dániel Kozma, Pál Varga, Gábor Soós:
Supporting Digital Production, Product Lifecycle and Supply Chain Management in Industry 4.0 by the Arrowhead Framework - a Survey. INDIN 2019: 126-131 - Bart M. P. Jansen, László Kozma, Jesper Nederlof:
Hamiltonicity Below Dirac's Condition. WG 2019: 27-39 - Bart M. P. Jansen, László Kozma, Jesper Nederlof:
Hamiltonicity below Dirac's condition. CoRR abs/1902.01745 (2019) - Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma:
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games. CoRR abs/1903.11012 (2019) - Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning. CoRR abs/1904.06269 (2019) - Sneha Aenugu, Abhishek Sharma, Sasikiran Yelamarthi, Hananel Hazan, Philip S. Thomas, Robert Kozma:
Reinforcement learning with spiking coagents. CoRR abs/1910.06489 (2019) - 2018
- Hananel Hazan, Daniel J. Saunders, Hassaan Khan, Devdhar Patel, Darpan T. Sanghavi, Hava T. Siegelmann, Robert Kozma:
BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. Frontiers Neuroinformatics 12: 89 (2018) - Dani Dorfman, Haim Kaplan, László Kozma, Seth Pettie, Uri Zwick:
Improved Bounds for Multipass Pairing Heaps and Path-Balanced Binary Search Trees. ESA 2018: 24:1-24:13 - Pál Varga, Dániel Kozma, Csaba Hegedüs:
Data-Driven Workflow Execution in Service Oriented IoT Architectures. ETFA 2018: 203-210 - Gabor Soos, Dániel Kozma, Ferenc Nándor Janky, Pál Varga:
IoT Device Lifecycle - A Generic Model and a Use Case for Cellular Mobile Networks. FiCloud 2018: 176-183 - Gabriel P. Andrade, Miklós Ruszinkó, Robert Kozma:
Graph Models of Neurodynamics to Support Oscillatory Associative Memories. IJCNN 2018: 1-8 - Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-Finger Binary Search Trees. ISAAC 2018: 55:1-55:26 - Dani Dorfman, Haim Kaplan, László Kozma, Seth Pettie, Uri Zwick:
Improved bounds for multipass pairing heaps and path-balanced binary search trees. CoRR abs/1806.08692 (2018) - Parinya Chalermsook, Mayank Goswami, László Kozma, Kurt Mehlhorn, Thatchaphol Saranurak:
Multi-finger binary search trees. CoRR abs/1809.01759 (2018)
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