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

PowerGraph: A power grid benchmark dataset for graph neural networks di Varbella, Anna, Amara, Kenza, Gjorgiev, Blazhe, El-Assady, Mennatallah, Sansavini, Giovanni

Sommario: “... challenges for the decision-makers and system operators. Therefore, developing grid analysis algorithms...”
Testo

MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats di Yuan, Shenghai, Yang, Yizhuo, Nguyen, Thien Hoang, Nguyen, Thien-Minh, Yang, Jianfei, Liu, Fen, Li, Jianping, Wang, Han, Xie, Lihua

Sommario: “... refinement of algorithms and models, which has never been seen in other datasets. Most existing works do...”
Testo

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network di Chen, Lin, Xu, Fengli, Li, Nian, Han, Zhenyu, Wang, Meng, Li, Yong, Hui, Pan

Sommario: “... for scaling up, drawing wide research attention towards developing automatic search algorithms. Previous...”
Testo

MapTrack: Tracking in the Map di Wang, Fei, Zhang, Ruohui, Chen, Chenglin, Yang, Min, Bai, Yun

Sommario: “... propose a new framework comprising of three lightweight and plug-and-play algorithms: the probability map...”
Testo

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems di Li, Lichi, Din, Zainul Abi, Tan, Zhen, London, Sam, Chen, Tianlong, Daptardar, Ajay

Sommario: “... recommendation algorithms in real-world scenarios, bridging the gap between academia and industry and propelling...”
Testo

NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection di Huang, Chenxi, Hou, Yuenan, Ye, Weicai, Huang, Di, Huang, Xiaoshui, Lin, Binbin, Cai, Deng, Ouyang, Wanli

Sommario: “... algorithm, NeRF-Det++, has exhibited appealing performance in the ScanNetV2 and ARKITScenes datasets...”
Testo

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection di Li, Chenyu, Zhang, Bing, Hong, Danfeng, Yao, Jing, Chanussot, Jocelyn

Sommario: “... datasets for improving the robustness of the HAD algorithm in complex scenarios, AIR-HAD for short...”
Testo

Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling di Chen, Xingyan, Du, Tian, Wang, Mu, Gu, Tiancheng, Zhao, Yu, Kou, Gang, Xu, Changqiao, Wu, Dapeng Oliver

Sommario: “.... Additionally, a weighted global aggregation algorithm is proposed based on the selected personalized layer...”
Testo

Active Generalized Category Discovery di Ma, Shijie, Zhu, Fei, Zhong, Zhun, Zhang, Xu-Yao, Liu, Cheng-Lin

Sommario: “... to subsequent training. To overcome this issue, we further propose a stable label mapping algorithm...”
Testo

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning di Fan, Chongyu, Liu, Jiancheng, Hero, Alfred, Liu, Sijia

Sommario: “... of MU in practice, guiding the future development of more accurate and robust unlearning algorithms...”
Testo

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios di Huang, Ding-Tao, Lin, En-Te, Chen, Lipeng, Liu, Li-Fu, Zeng, Long

Sommario: “... keypoints even in highly occluded scenes. Additionally, we build an effective filtering algorithm...”
Testo

Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model di Zheng, Dian, Wu, Xiao-Ming, Yang, Shuzhou, Zhang, Jian, Hu, Jian-Fang, Zheng, Wei-Shi

Sommario: “... flexible shared distribution term (SDT) into the diffusion algorithm elegantly and naturally, which...”
Testo

CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V di Xu, Siyu, Wang, Yunke, Liu, Daochang, Du, Bo, Xu, Chang

Sommario: “... recognition with GPT-4V. A baseline method derived from genetic algorithms to optimize collage layouts...”
Testo

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation di Cui, Yuning, Zamir, Syed Waqas, Khan, Salman, Knoll, Alois, Shah, Mubarak, Khan, Fahad Shahbaz

Sommario: “... algorithms have garnered significant attention by addressing different types of degradations within a single...”
Testo

AutoRE: Document-Level Relation Extraction with Large Language Models di Xue, Lilong, Zhang, Dan, Dong, Yuxiao, Tang, Jie

Sommario: “... an easily extensible RE framework using a Parameters Efficient Fine Tuning (PEFT) algorithm (QLoRA). Our...”
Testo

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems di Yang, Hanqing, Siew, Marie, Joe-Wong, Carlee

Sommario: “... are integrated into an agent-in-the-loop based reinforcement learning algorithm AitL-RL, which employs the LLM...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo