Risultati della ricerca - (coding OR decoding) (algorithmics OR (algorithm OR (algorithm OR Algorithmssssics)))

Machine learning prediction of flexural strength of high‐entropy carbides via feature‐engineered ensemble modeling di Cheng Fang, Wengang Zhang, Zhiyuan Sheng, Pian Wei, Jun Ma, Shun Dong

Sommario: “... framework to decode composition–structure–property relationships. Six rigorously compared algorithms...”
Testo

Towards Exception Safety Code Generation with Intermediate Representation Agents Framework di Zhang, Xuanming, Chen, Yuxuan, Yuan, Yuan, Huang, Minlie

Sommario: “...Large Language Models (LLMs) often struggle with robust exception handling in generated code...”
Testo

Triangle Detection in Worst-Case Sparse Graphs via Local Sketching di Duan, Hongyi, Zhang, Jian'an

Sommario: “... sparse graphs. Our algorithm processes the graph in $O(\log n)$ independent layers and partitions...”
Testo

Machine Vision–Based Defect Detection and Quantitative Assessment for Pavement Maintenance di Chenlang Zhou, Yiqiang Sun, Shijie Zhou, Xianjie Deng, Puzhong Wang

Sommario: “... MobileNetV2 and cascade atrous spatial pyramid pooling (CASPP); the decoder incorporates GhostConv...”
Testo

Tuned Compositional Feature Replays for Efficient Stream Learning di Talbot, Morgan B., Zawar, Rushikesh, Badkundri, Rohil, Zhang, Mengmi, Kreiman, Gabriel

Sommario: “... new continual learning algorithm, Compositional Replay Using Memory Blocks (CRUMB), which mitigates...”
Testo

Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI di Bosma, Joeran S., Saha, Anindo, Hosseinzadeh, Matin, Slootweg, Ilse, de Rooij, Maarten, Huisman, Henkjan

Sommario: “... the feasibility of our training procedure. Source code is publicly available at github.com/DIAGNijmegen/Report...”
Testo

Almost Ramanujan Expanders from Arbitrary Expanders via Operator Amplification di Jeronimo, Fernando Granha, Mittal, Tushant, Roy, Sourya, Wigderson, Avi

Sommario: “...We give an efficient algorithm that transforms any bounded degree expander graph into another...”
Testo

Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey di Ghosh, Aritra, Urry, C. Megan, Mishra, Aayush, Perreault-Levasseur, Laurence, Natarajan, Priyamvada, Sanders, David B., Nagai, Daisuke, Tian, Chuan, Cappelluti, Nico, Kartaltepe, Jeyhan S., Powell, Meredith C., Rau, Amrit, Treister, Ezequiel

Sommario: “... learning algorithms to future large imaging surveys, such as the Rubin-Legacy Survey of Space and Time...”
Testo

Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes di Ratnarajah, Anton, Manocha, Dinesh

Sommario: “... effects generated using an interactive geometric sound propagation algorithm and captured real acoustic...”
Testo

Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering di Xi, Lin, Chen, Weihai, Wu, Xingming, Liu, Zhong, Li, Zhengguo

Sommario: “.... In this work, a novel contrastive motion clustering algorithm with an optical flow as its input is proposed...”
Testo

Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network di Mondal, Joyanta Jyoti, Islam, Md. Farhadul, Islam, Raima, Rhidi, Nowsin Kabir, Newaz, Sarfaraz, Manab, Meem Arafat, Islam, A. B. M. Alim Al, Noor, Jannatun

Sommario: “... on PM2.5 concentration data obtained from the local US consulate, calculated using the NowCast algorithm...”
Testo

TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes di Cao, Xiaoyan, Zheng, Yiyao, Yao, Yao, Qin, Huapeng, Cao, Xiaoyu, Guo, Shihui

Sommario: “...Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing...”
Testo

Gradual Domain Adaptation: Theory and Algorithms di He, Yifei, Wang, Haoxiang, Li, Bo, Zhao, Han

Sommario: “.... In this work, we first theoretically analyze gradual self-training, a popular GDA algorithm, and provide a...”
Testo

Acoustics-based Active Control of Unsteady Flow Dynamics using Reinforcement Learning Driven Synthetic Jets di Rout, Siddharth, Phan, Khai, Lin, Chao-An

Sommario: “... in bluff-body flows. The codes for the algorithm can be found here: https://github.com/Siddharth-Rout...”
Testo

Minuet: Accelerating 3D Sparse Convolutions on GPUs di Yang, Jiacheng, Giannoula, Christina, Wu, Jun, Elhoushi, Mostafa, Gleeson, James, Pekhimenko, Gennady

Sommario: “... in the Map step with a novel segmented sorting double-traversed binary search algorithm that highly utilizes...”
Testo

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning di Luo, Jianlan, Hu, Zheyuan, Xu, Charles, Tan, You Liang, Berg, Jacob, Sharma, Archit, Schaal, Stefan, Finn, Chelsea, Gupta, Abhishek, Levine, Sergey

Sommario: “... details of these algorithms are often just as important (if not more so) for performance as the choice...”
Testo

Median and Small Parsimony Problems on RNA trees di Marchand, Bertrand, Anselmetti, Yoann, Lafond, Manuel, Ouangraoua, Aïda

Sommario: “...Motivation: Non-coding RNAs (ncRNAs) express their functions by adopting molecular structures...”
Testo

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching di Uvaydov, Daniel, Zhang, Milin, Robinson, Clifton Paul, D'Oro, Salvatore, Melodia, Tommaso, Restuccia, Francesco

Sommario: “... computer vision algorithm, we add non-local blocks to combine the spatial features of signals, and thus...”
Testo

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability di Yang, Siwei, Zhao, Bingchen, Xie, Cihang

Sommario: “... of large language models (LLMs) in algorithmic contexts, such as depth-first search (DFS). The key feature...”
Testo

Insights into mobile health application market via a content analysis of marketplace data with machine learning di Aydin, Gokhan, Silahtaroglu, Gokhan

Sommario: “... app marketplaces and manually coded and categorized by two researchers. For analysis, Artificial...”
Testo