Risultati della ricerca - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

Learning Program Behavioral Models from Synthesized Input-Output Pairs di Mammadov, Tural, Klakow, Dietrich, Koller, Alexander, Zeller, Andreas

Sommario: “... input/output behavior using neural machine translation algorithms. The resulting model mocks...”
Testo

DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model Training di Xin, Chen, Hartel, Andreas, Kasneci, Enkelejda

Sommario: “... ensures easy exchangeability and extensibility, allowing for future algorithm upgrades, seamless...”
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OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone di Serpiva, Valerii, Fedoseev, Aleksey, Karaf, Sausar, Abdulkarim, Ali Alridha, Tsetserukou, Dzmitry

Sommario: “... learning algorithm robustly interprets human gestures, allowing users to control drone motion intuitively...”
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AlleNoise: large-scale text classification benchmark dataset with real-world label noise di Rączkowska, Alicja, Osowska-Kurczab, Aleksandra, Szczerbiński, Jacek, Jasinska-Kobus, Kalina, Nazarko, Klaudia

Sommario: “... labels is inadequate to handle such real-world noise. In addition, we show evidence that these algorithms...”
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TGIF: Text-Guided Inpainting Forgery Dataset di Mareen, Hannes, Karageorgiou, Dimitrios, Van Wallendael, Glenn, Lambert, Peter, Papadopoulos, Symeon

Sommario: “... algorithms, such as WEBP. In conclusion, this work demonstrates the inefficiency of state-of-the-art...”
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OAM-TCD: A globally diverse dataset of high-resolution tree cover maps di Veitch-Michaelis, Josh, Cottam, Andrew, Schweizer, Daniella, Broadbent, Eben N., Dao, David, Zhang, Ce, Zambrano, Angelica Almeyda, Max, Simeon

Sommario: “... progress in restored sites. Recent works have shown that deep learning-based segmentation algorithms...”
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Advanced Mathematical Modelling for Energy-Efficient Data Transmission and Fusion in Wireless Sensor Networks di Komal

Sommario: “... Minimum Spanning Tree (MST) algorithm is employed for energy-efficient data transmission from sensor nodes...”
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Dual High-Order Total Variation Model for Underwater Image Restoration di Li, Yuemei, Hou, Guojia, Zhuang, Peixian, Pan, Zhenkuan

Sommario: “... optimization algorithm relying on the alternating direction method of multipliers (ADMM) to accelerate...”
Testo

The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering di Plagwitz, Lucas, Bickmann, Lucas, Fujarski, Michael, Brenner, Alexander, Gobalakrishnan, Warnes, Eckardt, Lars, Büscher, Antonius, Varghese, Julian

Sommario: “... learning algorithms. In this study, we present this adaptive transformative approach that aligns R-peaks...”
Testo

Segmentation by registration-enabled SAM prompt engineering using five reference images di Chen, Yaxi, Ivanova, Aleksandra, Saeed, Shaheer U., Hargunani, Rikin, Huang, Jie, Liu, Chaozong, Hu, Yipeng

Sommario: “... for medical image segmentation using SAM. This approach utilises established image registration algorithms...”
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Introducing δ-XAI: a novel sensitivity-based method for local AI explanations di De Carlo, Alessandro, Parimbelli, Enea, Melillo, Nicola, Nicora, Giovanna

Sommario: “... Intelligence (AI) and Machine Learning (ML) algorithms into clinical practice. High-performing AI/ML models...”
Testo

X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images di Huang, Zhongling, Zhuang, Yihan, Zhong, Zipei, Xu, Feng, Cheng, Gong, Han, Junwei

Sommario: “... the scarce training data for deep learning algorithms. Consequently, evaluating the quality of the simulated...”
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Modular quantum processor with an all-to-all reconfigurable router di Wu, Xuntao, Yan, Haoxiong, Andersson, Gustav, Anferov, Alexander, Chou, Ming-Han, Conner, Christopher R., Grebel, Joel, Joshi, Yash J., Li, Shiheng, Miller, Jacob M., Povey, Rhys G., Qiao, Hong, Cleland, Andrew N.

Sommario: “... developments in error-correcting codes, however usually involves complex multi-layer packaging and external...”
Testo

ThinK: Thinner Key Cache by Query-Driven Pruning di Xu, Yuhui, Jie, Zhanming, Dong, Hanze, Wang, Lei, Lu, Xudong, Zhou, Aojun, Saha, Amrita, Xiong, Caiming, Sahoo, Doyen

Sommario: “... verified the efficiency of ThinK, establishing a new baseline algorithm for efficient LLM deployment...”
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Palu: Compressing KV-Cache with Low-Rank Projection di Chang, Chi-Chih, Lin, Wei-Cheng, Lin, Chien-Yu, Chen, Chong-Yan, Hu, Yu-Fang, Wang, Pei-Shuo, Huang, Ning-Chi, Ceze, Luis, Abdelfattah, Mohamed S., Wu, Kai-Chiang

Sommario: “... rank search algorithm, (3) low-rank-aware quantization compatibility enhancements, and (4) optimized...”
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MedUHIP: Towards Human-In-the-Loop Medical Segmentation di Zhu, Jiayuan, Wu, Junde

Sommario: “... images, but also establishes a synergistic balance between algorithmic precision and clincian knowledge...”
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Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network di Ye, Junyan, Lv, Zhutao, Li, Weijia, Yu, Jinhua, Yang, Haote, Zhong, Huaping, He, Conghui

Sommario: “... of algorithm performance. Our method excels in multiple tests on common cross-view datasets such as CVUSA...”
Testo

Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments di Švábenský, Valdemar, Tkáčik, Kristián, Birdwell, Aubrey, Weiss, Richard, Baker, Ryan S., Čeleda, Pavel, Vykopal, Jan, Mache, Jens, Chattopadhyay, Ankur

Sommario: “... and EDURange. These data are used in machine learning algorithms to predict the success of students...”
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Tackling Data Heterogeneity in Federated Learning via Loss Decomposition di Zeng, Shuang, Guo, Pengxin, Wang, Shuai, Wang, Jianbo, Zhou, Yuyin, Qu, Liangqiong

Sommario: “... and chest X-ray classification compared to other FL algorithms. Our code is available at https://github.com...”
Testo

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing di Jin, Zhibo, Zhang, Jiayu, Zhu, Zhiyu, Zhang, Chenyu, Huang, Jiahao, Zhou, Jianlong, Chen, Fang

Sommario: “.... Additionally, it surpasses the latest competing algorithm, GE-AdvGAN, with an average ASR increase of 5.9...”
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