Risultati della ricerca - coding (algorithm OR Algorithmssssic)

Biarchetype analysis: simultaneous learning of observations and features based on extremes di Alcacer, Aleix, Epifanio, Irene, Gual-Arnau, Ximo

Sommario: “... easier to understand. We propose an algorithm to solve biarchetype analysis. Although clustering...”
Testo

A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists di Magnana, Lucas, Rivano, Hervé, Chiabaut, Nicolas

Sommario: “... traffic light control algorithm over whole days. Results show that DRL achieves better minimization...”
Testo

Dependency-aware Resource Allocation for Serverless Functions at the Edge di Baresi, Luciano, Quattrocchi, Giovanni, Ticongolo, Inacio

Sommario: “...Serverless computing allows developers to break their code into small components, known...”
Testo

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation di Diakite, Alou, Li, Cheng, Xie, Lei, Feng, Yuanjing, Han, Hua, Wang, Shanshan

Sommario: “.... Therefore, it is crucial to develop effective algorithms in situations with limited labeled samples...”
Testo

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks di Ma'sum, Muhammad Anwar, Sarkar, MD Rasel, Pratama, Mahardhika, Ramasamy, Savitha, Anavatti, Sreenatha, Liu, Lin, Habibullah, Kowalczyk, Ryszard

Sommario: “... demonstrate the advantage of our approach with at least $3\%$ improvements over the baseline algorithms...”
Testo

Dual feature-based and example-based explanation methods di Konstantinov, Andrei V., Kozlov, Boris V., Kirpichenko, Stanislav R., Utkin, Lev V.

Sommario: “... are performed for studying the approach. The code of proposed algorithms is available. ...”
Testo

Stale Profile Matching di Ayupov, Amir, Panchenko, Maksim, Pupyrev, Sergey

Sommario: “... code. To achieve the maximum performance boost, profile data needs to be collected on the same version...”
Testo

Evolution Guided Generative Flow Networks di Ikram, Zarif, Pan, Ling, Liu, Dianbo

Sommario: “... training using Evolutionary algorithms (EA). Our method can work on top of any GFlowNets training objective...”
Testo

Eigen Is All You Need: Efficient Lidar-Inertial Continuous-Time Odometry with Internal Association di Nguyen, Thien-Minh, Xu, Xinhang, Jin, Tongxing, Yang, Yizhuo, Li, Jianping, Yuan, Shenghai, Xie, Lihua

Sommario: “..., which promotes two main insights. One, contrary to conventional wisdom, CT-LIO algorithm can...”
Testo

Real-Time Line-Based Room Segmentation and Continuous Euclidean Distance Fields di Warberg, Erik, Miksits, Adam, Barbosa, Fernando S.

Sommario: “.... This is possible thanks to a novel line-based room segmentation algorithm, enabling the creation of smaller local...”
Testo

ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs di Nielebock, Sebastian, Blockhaus, Paul, Krüger, Jacob, Ortmeier, Frank

Sommario: “...Modern software development relies on the reuse of code via Application Programming Interfaces...”
Testo

MLTCP: Congestion Control for DNN Training di Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A., Ghobadi, Manya

Sommario: “...We present MLTCP, a technique to augment today's congestion control algorithms to accelerate DNN...”
Testo

Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data di Zhu, Mengran, Gong, Yulu, Xiang, Yafei, Yu, Hanyi, Huo, Shuning

Sommario: “.... The objective of the experiment is to design and implement a fake face verification code and fraud detection...”
Testo

Supporting Experts with a Multimodal Machine-Learning-Based Tool for Human Behavior Analysis of Conversational Videos di Arakawa, Riku, Maeda, Kiyosu, Yakura, Hiromu

Sommario: “.... It enables experts to combine various machine learning algorithms to capture human behavioral cues without...”
Testo

Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding di Yi, Hanling, Lin, Feng, Li, Hongbin, Ning, Peiyang, Yu, Xiaotian, Xiao, Rong

Sommario: “... of parameters. We propose \textbf{S}mart \textbf{P}arallel \textbf{A}uto-\textbf{C}orrect d\textbf{E}coding...”
Testo

Watermark Stealing in Large Language Models di Jovanović, Nikola, Staab, Robin, Vechev, Martin

Sommario: “... was previously unnoticed. We are the first to propose an automated WS algorithm and use it in the first...”
Testo

Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization di Park, Jinha, Cho, Wonguk, Kim, Taesup

Sommario: “... is labeled while the rest are unlabeled. We propose a novel algorithm, ProUD, which can effectively learn...”
Testo

Towards Code Generation for Octree-Based Multigrid Solvers di Angersbach, Richard, Kuckuck, Sebastian, Köstler, Harald

Sommario: “... kernels with manual implementations of complex octree data structures and algorithms often found...”
Testo

A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services di Cederle, Matteo, Piron, Luca Vittorio, Ceccon, Marina, Chiariotti, Federico, Fabris, Alessandro, Fabris, Marco, Susto, Gian Antonio

Sommario: “.... Addressing this gap, our study investigates the balance between performance optimization and algorithmic...”
Testo

Algorithmic Details behind the Predator Shape Analyser di Dudka, Kamil, Muller, Petr, Peringer, Petr, Šoková, Veronika, Vojnar, Tomáš

Sommario: “... of the algorithms behind the Predator shape analyser based on abstract interpretation and symbolic memory graphs...”
Testo