標(biāo)題: Titlebook: Advances in Artificial Intelligence; 20th Conference of t Amparo Alonso-Betanzos,Bertha Guijarro-Berdi?as,Al Conference proceedings 2024 Th [打印本頁] 作者: 毛發(fā) 時間: 2025-3-21 18:04
書目名稱Advances in Artificial Intelligence影響因子(影響力)
書目名稱Advances in Artificial Intelligence影響因子(影響力)學(xué)科排名
書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開度
書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Artificial Intelligence被引頻次
書目名稱Advances in Artificial Intelligence被引頻次學(xué)科排名
書目名稱Advances in Artificial Intelligence年度引用
書目名稱Advances in Artificial Intelligence年度引用學(xué)科排名
書目名稱Advances in Artificial Intelligence讀者反饋
書目名稱Advances in Artificial Intelligence讀者反饋學(xué)科排名
作者: ACRID 時間: 2025-3-21 21:15
,An Architecture Towards Building a?Reliable Suicide Information Chatbot,dition, all the components of the architecture have been automatically tested to prove their suitability to be incorporated to the chatbot. The developed system is a step towards helping in one of the greatest global public health concerns.作者: 灰心喪氣 時間: 2025-3-22 02:46
Age Estimation Using Soft Labelling Ordinal Classification Approaches,g, soft labelling more effectively acknowledges the continuity and uncertainty inherent in age estimation. The experiments conducted in this study facilitate the comparison of soft labelling approaches against the nominal baseline. Results demonstrate superior performance of soft labelling approache作者: 極端的正確性 時間: 2025-3-22 07:25
,O-Hydra: A Hybrid Convolutional and?Dictionary-Based Approach to?Time Series Ordinal Classification categories, to TSOC, resulting in O-Hydra. For the experiments, we have included a collection of 21 ordinal problems sourced from two well-known archives. O-Hydra has been benchmarked against its nominal counterpart, Hydra, as well as against two state-of-the-art approaches in the two previous cate作者: 增減字母法 時間: 2025-3-22 09:13 作者: 周興旺 時間: 2025-3-22 13:17 作者: 不如屎殼郎 時間: 2025-3-22 20:53
,Semi-supervised Learning Methods for?Semantic Segmentation of?Polyps,ated data, most models obtained better results, but two of them performed worse in the baseline case. Furthermore, we can conclude that the Data Distillation method increases the performance of the models a 48.6% and 30.6% on average using 60 and 120 annotated images respectively. Finally, using onl作者: 表兩個 時間: 2025-3-23 01:14 作者: paragon 時間: 2025-3-23 04:57
0302-9743 le AI, fuzzy?logic, natural language processing, knowledge representation, reasoning and logic, constraints, search and planning, multi-agent systems, computer vision and robotics, and intelligent?web and information retrieval..978-3-031-62798-9978-3-031-62799-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 愛得痛了 時間: 2025-3-23 09:05
https://doi.org/10.1007/978-3-322-85683-8of training techniques for SNNs, including supervised, unsupervised, and reinforcement learning approaches. This paper culminates by highlighting imperative future research directions in SNNs. It underscores the pressing need for developing sophisticated training algorithms and customizing models to作者: 流利圓滑 時間: 2025-3-23 11:05
Betriebliche Anwendungssysteme,dition, all the components of the architecture have been automatically tested to prove their suitability to be incorporated to the chatbot. The developed system is a step towards helping in one of the greatest global public health concerns.作者: ureter 時間: 2025-3-23 17:16 作者: 心胸狹窄 時間: 2025-3-23 20:13
Grundlagen der Wirtschaftsinformatik categories, to TSOC, resulting in O-Hydra. For the experiments, we have included a collection of 21 ordinal problems sourced from two well-known archives. O-Hydra has been benchmarked against its nominal counterpart, Hydra, as well as against two state-of-the-art approaches in the two previous cate作者: 冷峻 時間: 2025-3-24 00:09
Betriebliche Anwendungssysteme, related to the number of selected features and evaluates the collective merit of feature subsets instead of the significance of individual features. To address the forecasting challenge of identifying the appropriate time lags and features, we performed experiments on eight distinct datasets contai作者: 有毛就脫毛 時間: 2025-3-24 04:23 作者: ELUC 時間: 2025-3-24 09:41 作者: 預(yù)示 時間: 2025-3-24 11:49 作者: Mystic 時間: 2025-3-24 18:31 作者: 占線 時間: 2025-3-24 22:09 作者: 惡意 時間: 2025-3-25 01:18 作者: Defraud 時間: 2025-3-25 05:01 作者: 彎腰 時間: 2025-3-25 11:28 作者: Commonplace 時間: 2025-3-25 12:18 作者: 得罪 時間: 2025-3-25 17:14 作者: hermitage 時間: 2025-3-25 19:58 作者: Morbid 時間: 2025-3-26 01:11
,Deep Variational Auto-Encoder for?Model-Based Water Quality Patrolling with?Intelligent Surface Vehithm, exploiting the submodularity of the problem, demonstrates a 41% and 55% performance improvement over algorithms without UNet-VAE. This method enhances monitoring coverage and intensification of high-interest areas, providing a promising approach for hydrological resource surveillance.作者: GLIDE 時間: 2025-3-26 05:43 作者: –LOUS 時間: 2025-3-26 10:28 作者: obeisance 時間: 2025-3-26 14:31
A Surrogate Assisted Approach for Fitness Computation in Robust Optimization over Time,t this approach can achieve significantly superior performances to the existing framework, especially for specific surrogate model configurations. Furthermore, we show that in certain cases where our algorithms are less efficient than the existing approach, such inefficiency is compensated by improvements in error.作者: ARY 時間: 2025-3-26 20:15
,An Experimental Comparison of?Qiskit and?Pennylane for?Hybrid Quantum-Classical Support Vector Machnce of both frameworks remains stable for up to 20 qubits, indicating their suitability for practical applications. Overall, our findings provide valuable insights into the strengths and limitations of Qiskit and Pennylane for hybrid quantum-classical machine learning.作者: 調(diào)色板 時間: 2025-3-26 21:46 作者: 創(chuàng)造性 時間: 2025-3-27 03:49 作者: vasculitis 時間: 2025-3-27 09:15 作者: linear 時間: 2025-3-27 12:41
Conference proceedings 2024zy?logic, natural language processing, knowledge representation, reasoning and logic, constraints, search and planning, multi-agent systems, computer vision and robotics, and intelligent?web and information retrieval..作者: Strength 時間: 2025-3-27 17:23
0302-9743 held in A Coru?a, Spain, during June 19–21, 2024...The 27 full papers presented in this book were carefully reviewed and selected from 38 submissions...CAEPIA is a forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Artificia作者: Extricate 時間: 2025-3-27 20:08 作者: 討好女人 時間: 2025-3-28 01:03
Grundlagen der Wirtschaftsinformatiky methods and a path relinking implementation to tackle this problem. The experimental results show the superiority of our proposal in relation to the current state-of-the-art under different multi-objective metrics.作者: 感激小女 時間: 2025-3-28 02:13
Die inhaltliche Bestimmung des Moralbegriffseatures, the Facility Location problem with Limited Choice rule. We propose a first metaheuristic approach to this problem by means of an Iterated Local Search, which is able to obtain similar results than the state of the art spending shorter execution times.作者: Licentious 時間: 2025-3-28 06:53
,Taking Advantage of?Depth Information for?Semantic Segmentation in?Field-Measured Vineyards,ed better results than their RGB counterparts, improving up to a 1.83% the mean segmentation accuracy. These findings highlight the potential of cost-effective RGB-based depth estimation techniques for accurate plant segmentation in agricultural settings, paving the way for wider adoption of RGB-D technology.作者: 完整 時間: 2025-3-28 11:30 作者: 新字 時間: 2025-3-28 16:37 作者: 不確定 時間: 2025-3-28 21:24 作者: insightful 時間: 2025-3-28 23:04
,Predicting Parkinson’s Disease Progression: Analyzing Prodromal Stages Through Machine Learning, data, and Logistic Regression (balanced) when adding thicknesses and volumes of MRI data. The metrics were improve in the second case (AUC ROC of 0.84). Significant predictors include olfactory dysfunction, motor symptoms, psychomotor speed, and third ventricle dilation.作者: Anthology 時間: 2025-3-29 05:18 作者: 主講人 時間: 2025-3-29 07:30 作者: Mangle 時間: 2025-3-29 11:51 作者: myopia 時間: 2025-3-29 18:40
,An Architecture Towards Building a?Reliable Suicide Information Chatbot, or friends of people who have suicidal ideation can be a valuable resource. This information can be provided by means of chatbot tools; however, the reliability and topicality of the chatbot’s answers should be ensured. In this work, we present an architecture to build a chatbot with the aim of pro作者: Afflict 時間: 2025-3-29 22:01 作者: GROG 時間: 2025-3-30 00:58
,O-Hydra: A Hybrid Convolutional and?Dictionary-Based Approach to?Time Series Ordinal Classificationus real-world problems and the possibility to obtain more consistent prediction than nominal Time Series Classification (TSC). Specifically, TSOC involves time series data along with an ordinal categorical output. That is, there is a natural order relationship among the labels associated with the ti作者: Carcinoma 時間: 2025-3-30 07:55
,Predicting Parkinson’s Disease Progression: Analyzing Prodromal Stages Through Machine Learning,s to discriminate between prodromals that phenoconverted to PD in 7 years to those that did not. Through feature selection, the system identified key first visit predictors of PD phenoconversion, encompassing demographic, clinical, and structural magnetic resonance imaging (MRI) data. Employing seve作者: Figate 時間: 2025-3-30 10:26
Ground-Level Ozone Forecasting Using Explainable Machine Learning,. In this study various machine learning models for ground-level ozone forecasting are optimised using a Bayesian technique. Predictions are obtained 24?h in advance using historical ozone data and related environmental variables, including meteorological measurements and other air quality indicator作者: Melodrama 時間: 2025-3-30 14:09
,Multi-Objective Lagged Feature Selection Based on?Dependence Coefficient for?Time-Series Forecastinlity. Within this context, filter methods have gained recognition for their effectiveness in assessing features through statistical metrics. A recently introduced metric, the Conditional Dependence Coefficient, aims to assess the dependence between subsets of features and a target variable, enhancin作者: Matrimony 時間: 2025-3-30 16:42
,FuSDG: A Proposal for?a?Fuzzy Assessment of?Sustainable Development Goals Achievement,ndicators and, in very basic terms, the degree of achievement of the 17 SDGs for a country, the so called SDG Index, is calculated with a weighted sum without taking into account any priorities among the goals..Besides this, several facts are not considered: the different situations and priorities o作者: 發(fā)現(xiàn) 時間: 2025-3-30 22:32 作者: Predigest 時間: 2025-3-31 02:15
,A Path Relinking-Based Approach for?the?Bi-Objective Double Floor Corridor Allocation Problem,lem, which has been a challenge for exact and metaheuristic approaches, involves optimizing the layout of the given facilities to minimize material handling cost and the length of the corridor considering more than one floor. This paper introduces a new approach based on the combination of two greed作者: 觀察 時間: 2025-3-31 06:47
,An Experimental Comparison of?Qiskit and?Pennylane for?Hybrid Quantum-Classical Support Vector Machudy compares two prominent quantum development frameworks, Qiskit and Pennylane, focusing on their suitability for hybrid quantum-classical support vector machines with quantum kernels. Our analysis reveals that Qiskit requires less theoretical information to be used, while Pennylane demonstrates su作者: LATHE 時間: 2025-3-31 13:01 作者: aesthetician 時間: 2025-3-31 15:59
,Iterated Local Search for?the?Facility Location Problem with?Limited Choice Rule,d/or distances with clients in order to determine the best location for them. However, a different problem arises when the distribution of clients among the open facilities is considered and the cost of opening the facilities is also taken into account. In this paper, we study a problem with these f作者: 玷污 時間: 2025-3-31 21:26
,Driven PCTBagging: Seeking Greater Discriminating Capacity for?the?Same Level of?Interpretability,n exploit more the possibilities of the inner ensembles, and obtain higher levels of interpretability, or can exploit more the possibilities of the ensembles, and obtain higher discriminant capacity. Thus, at the extreme values, with a consolidation percentage of 100% it obtains a consolidated tree 作者: Chauvinistic 時間: 2025-4-1 00:32
,Semi-supervised Learning Methods for?Semantic Segmentation of?Polyps,ed by physicians to detect it are based on the visual detection of polyps in colonoscopy, a task that can be tackled by means of semantic segmentation methods. However, the amount of data necessary to train deep learning models for these problems is a barrier for their adoption. In this work, we stu作者: 容易生皺紋 時間: 2025-4-1 02:51 作者: Optic-Disk 時間: 2025-4-1 06:59
,Toward Explaining Competitive Success in?League of?Legends: A Machine Learning Analysis,ghts on match outcomes remains a challenge. This study focuses on League of Legends, a popular multiplayer online battle arena game known for its strategic depth and teamwork requirements. We aim to understand how various actions and strategies influence match results, using a dataset from professio作者: condemn 時間: 2025-4-1 13:04 作者: tattle 時間: 2025-4-1 15:53
978-3-031-62798-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 我說不重要 時間: 2025-4-1 21:54
Industrial Dynamics — nach der ersten Dekadean be analysed by means of deep segmentation models; however, such methods usually dismiss depth information. In this work, we aim to address this challenge by comparing four deep learning models for segmenting canopy and grape bunches in RGB and RGB-D images. In our experiments, RGB-D models achiev作者: NUL 時間: 2025-4-2 00:13
https://doi.org/10.1007/978-3-322-85683-8ities and potential for energy-efficient computing. SNNs distinguish themselves from traditional neural networks by skillfully processing complex, time-sensitive binary inputs through intricate encoding strategies and dynamic learning algorithms. This paper discusses various encoding techniques and
