Risultati della ricerca - (endedededecoding OR (coding OR decoding)) (algorithm OR Algorithmsssssic)

Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model di Patra, Braja Gopal, Lepow, Lauren A., Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer, Sharma, Mohit Manoj, Adekkanattu, Prakash, Fennessy, Brian, Hynes, Gavin, Landi, Isotta, Sanchez-Ruiz, Jorge A., Ryu, Euijung, Biernacka, Joanna M., Nadkarni, Girish N., Talati, Ardesheer, Weissman, Myrna, Olfson, Mark, Mann, J. John, Charney, Alexander W., Pathak, Jyotishman

Sommario: “... is typically documented as narrative clinical notes rather than structured coded data. Natural language...”
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NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming di Stapleton, Fergal, Cody-Kenny, Brendan, Galván, Edgar

Sommario: “...Evolutionary algorithms are increasingly recognised as a viable computational approach...”
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Human-compatible driving partners through data-regularized self-play reinforcement learning di Cornelisse, Daphne, Vinitsky, Eugene

Sommario: “...-loop settings, we propose Human-Regularized PPO (HR-PPO), a multi-agent algorithm where agents...”
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Universal Bovine Identification via Depth Data and Deep Metric Learning di Sharma, Asheesh, Randewich, Lucy, Andrew, William, Hannuna, Sion, Campbell, Neill, Mullan, Siobhan, Dowsey, Andrew W., Smith, Melvyn, Hansen, Mark, Burghardt, Tilo

Sommario: “... learning system for accurately identifying individual cattle and provides associated code, datasets...”
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Advancing LLM Reasoning Generalists with Preference Trees di Yuan, Lifan, Cui, Ganqu, Wang, Hanbin, Ding, Ning, Wang, Xingyao, Deng, Jia, Shan, Boji, Chen, Huimin, Xie, Ruobing, Lin, Yankai, Liu, Zhenghao, Zhou, Bowen, Peng, Hao, Liu, Zhiyuan, Sun, Maosong

Sommario: “... diverse set of benchmarks covering mathematics, code generation, and logical reasoning problems. Notably...”
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LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP di Huang, Yunshi, Shakeri, Fereshteh, Dolz, Jose, Boudiaf, Malik, Bahig, Houda, Ayed, Ismail Ben

Sommario: “... algorithm. In our full-batch MM optimizer, which we coin LP++, step sizes are implicit, unlike standard...”
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Data Limitations for Modeling Top-Down Effects on Drivers' Attention di Kotseruba, Iuliia, Tsotsos, John K.

Sommario: “... to train and evaluate algorithms for drivers' gaze prediction. We define a set of driving tasks (lateral...”
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Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery di Wang, Ye, Wang, Yaxiong, Wu, Yujiao, Zhao, Bingchen, Qian, Xueming

Sommario: “... algorithms and are thus subject to their inherent limitations. Firstly, the estimated cluster number is often...”
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Jacobi Prior: An Alternative Bayesian Method for Supervised Learning di Das, Sourish, Sardar, Shouvik

Sommario: “... data across multiple servers. We propose a parallelisable Monte Carlo algorithm to quantify...”
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NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator di Shivdikar, Kaustubh, Agostini, Nicolas Bohm, Jayaweera, Malith, Jonatan, Gilbert, Abellan, Jose L., Joshi, Ajay, Kim, John, Kaeli, David

Sommario: “... introduce NeuraChip, a novel GNN spatial accelerator based on Gustavson's algorithm. NeuraChip decouples...”
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Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches di Li, Yi, Wu, Yunan, Katsaggelos, Aggelos K.

Sommario: “... or semi-supervised algorithms for the task of glitch classification and clustering. In the future task...”
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Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques di Hong, Ziliang, Jha, Debesh, Biswas, Koushik, Zhang, Zheyuan, Velichko, Yury, Yazici, Cemal, Tirkes, Temel, Borhani, Amir, Turkbey, Baris, Medetalibeyoglu, Alpay, Durak, Gorkem, Bagci, Ulas

Sommario: “...{LinTransUNet} model, a linear Transformer based segmentation algorithm, to segment the pancreas accurately from...”
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Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching di Diao, Haiwen, Zhang, Ying, Gao, Shang, Ruan, Xiang, Lu, Huchuan

Sommario: “... Learning (DBL) algorithm, where an anchor branch is first trained to provide insights into the data...”
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UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement di Ge, Ruiquan, Fang, Zhaojie, Wei, Pengxue, Chen, Zhanghao, Jiang, Hongyang, Elazab, Ahmed, Li, Wangting, Wan, Xiang, Zhang, Shaochong, Wang, Changmiao

Sommario: “...-modality medical image generation algorithms capable of converting UWF-SLO images into their UWF-FA...”
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Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training di Zhang, Wenyu, Shen, Li, Foo, Chuan-Sheng

Sommario: “...-learn algorithm to improve target pseudolabel quality collaboratively through the source model and a pre...”
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OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation di Lin, Jinwei

Sommario: “... for the object armature. Combined with the re-editable motions and actions analyzing and controlling algorithm we...”
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PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning di Ying, Chengyang, Hao, Zhongkai, Zhou, Xinning, Xu, Xuezhou, Su, Hang, Zhang, Xingxing, Zhu, Jun

Sommario: “..., we develop a novel algorithm Pre-trained Embodiment-Aware Control (PEAC) for handling CEURL...”
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PrivCirNet: Efficient Private Inference via Block Circulant Transformation di Xu, Tianshi, Wu, Lemeng, Wang, Runsheng, Li, Meng

Sommario: “..., PrivCirNet customizes the HE encoding algorithm that is fully compatible with the block circulant...”
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Evolution and learning in differentiable robots di Strgar, Luke, Matthews, David, Hummer, Tyler, Kriegman, Sam

Sommario: “... -- mutations that rearrange, combine, add, or remove body parts -- were applied by a genetic algorithm...”
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A $Li$ne $Me$asuring library for large and complex spectroscopic data sets: Implementation of a virtual observatory for JWST spectra di Fernández, V., Amorín, R., Firpo, V., Morisset, C.

Sommario: “... and kinematic analyses. To reduce the coding effort required from users, we introduced a notation system...”
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