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Publication search results
found 287 matches
- 2024
- Max von Grafenstein, Isabel Kiefaber, Julie Heumüller, Valentin Rupp, Paul Graßl, Otto Kolless, Zsófia Puzst:
Privacy icons as a component of effective transparency and controls under the GDPR: effective data protection by design based on art. 25 GDPR. Comput. Law Secur. Rev. 52: 105924 (2024) - Rei Yamagishi, Shota Fujii:
Survey and Analysis of User Perceptions of Security Icons. EICC 2024: 202-209 - 2023
- Miao Lin, I-Chao Shen, Hsiao-Yuan Chin, Ruo-Xi Chen, Bingyu Chen:
Palette-Based and Harmony-Guided Colorization for Vector Icons. Comput. Graph. Forum 42(7) (2023) - Ronghuan Wu, Wanchao Su, Kede Ma, Jing Liao:
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers. ACM Trans. Graph. 42(6): 230:1-230:14 (2023) - Ben Roelens, Rob Ebben, Rogier van de Wetering:
Composing an Initial Domain-Specific Modeling Language Notation by Reusing Icons. BMSD 2023: 245-255 - René Schäfer, Oliver Nowak, Lovis Bero Suchmann, Sören Schröder, Jan O. Borchers:
What's That Shape? Investigating Eyes-Free Recognition of Textile Icons. CHI 2023: 580:1-580:12 - Hitesh Ahuja, Rajkumar Kubendran:
High-resolution Extreme-throughput Event-based Cameras using GALS Data-scanning Architecture. ICONS 2023: 12:1-12:6 - Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman:
Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. ICONS 2023: 39:1-39:6 - Juan Pablo Romero Bermudez, Luis A. Plana, Andrew Rowley, Mikael Hessel, Jens Egholm Pedersen, Steve B. Furber, Jörg Conradt:
A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems. ICONS 2023: 28:1-28:8 - Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS 2023: 40:1-40:4 - Melvin Estuardo Galicia, Ibrahim Jimale Osman, Christian Owusu-Afriyie, Rainer Leupers:
"S3cure": Scramble, Shuffle and Shambles - Secure Deployment of Weight Matrices in Memristor Crossbar Arrays. ICONS 2023: 41:1-41:8 - James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel:
Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS 2023: 13:1-13:7 - Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean:
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 2023: 3:1-3:8 - Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao:
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS 2023: 21:1-21:8 - Michele Mastella, Hugh Greatorex, Madison Cotteret, Ella Janotte, Willian Soares Girão, Ole Richter, Elisabetta Chicca:
Synaptic Normalisation for On-Chip Learning in Analog CMOS Spiking Neural Networks. ICONS 2023: 34:1-34:4 - Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu:
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS 2023: 18:1-18:8 - Raphael Norman-Tenazas, Isaac Western, Gautam K. Vallabha, Matthew J. Roos, Erik C. Johnson, Brian S. Robinson:
Enabling local learning for generative-replay-based continual learning with a recurrent model of the insect memory center. ICONS 2023: 25:1-25:7 - Ryan O'Loughlin, Bryce A. Primavera, Jeffrey Shainline:
Dendritic Learning in Superconducting Optoelectronic Networks. ICONS 2023: 4:1-4:8 - Jeff Orchard, Russell Jarvis:
Hyperdimensional Computing with Spiking-Phasor Neurons. ICONS 2023: 22:1-22:7 - Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins:
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. ICONS 2023: 15:1-15:6 - Ole Richter, Hugh Greatorex, Benjamin Hucko, Madison Cotteret, Willian Soares Girão, Ella Janotte, Michele Mastella, Elisabetta Chicca:
A Subthreshold Second-Order Integration Circuit for Versatile Synaptic Alpha Kernel and Trace Generation. ICONS 2023: 33:1-33:4 - Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank:
DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS 2023: 10:1-10:8 - Simon Roy, François-Michel De Rainville, Marc-Antoine Drouin, Simon Savary, Terrence C. Stewart:
Event-based stereopsis with wearable stereo vision demonstrator. ICONS 2023: 6:1-6:4 - William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard:
Neuromorphic Population Evaluation using the Fugu Framework. ICONS 2023: 42:1-42:7 - Shay Snyder, Sumedh R. Risbud, Maryam Parsa:
Neuromorphic Bayesian Optimization in Lava. ICONS 2023: 9:1-9:5 - Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa:
Zespol: A Lightweight Environment for Training Swarming Agents. ICONS 2023: 24:1-24:5 - Mike Stuck, Richard Naud:
Burstprop for Learning in Spiking Neuromorphic Hardware. ICONS 2023: 20:1-20:5 - Vijay Shankaran Vivekanand, Samarth Chopra, Shahin Hashemkhani, Rajkumar Chinnakonda Kubendran:
Robot Locomotion through Tunable Bursting Rhythms using Efficient Bio-mimetic Neural Networks on Loihi and Arduino Platforms. ICONS 2023: 5:1-5:7 - Ruomin Zhu, Jason Eshraghian, Zdenka Kuncic:
Memristive Reservoirs Learn to Learn. ICONS 2023: 31:1-31:7 - Linlin Li, Ruifeng Wang, Xian Zhan, Ying Wang, Cuiyun Gao, Sinan Wang, Yepang Liu:
What You See Is What You Get? It Is Not the Case! Detecting Misleading Icons for Mobile Applications. ISSTA 2023: 538-550
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