標(biāo)題: Titlebook: Advanced Data Mining and Applications; 19th International C Xiaochun Yang,Heru Suhartanto,Ningning Cui Conference proceedings 2023 The Edit [打印本頁] 作者: implicate 時間: 2025-3-21 18:23
書目名稱Advanced Data Mining and Applications影響因子(影響力)
書目名稱Advanced Data Mining and Applications影響因子(影響力)學(xué)科排名
書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度
書目名稱Advanced Data Mining and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advanced Data Mining and Applications被引頻次
書目名稱Advanced Data Mining and Applications被引頻次學(xué)科排名
書目名稱Advanced Data Mining and Applications年度引用
書目名稱Advanced Data Mining and Applications年度引用學(xué)科排名
書目名稱Advanced Data Mining and Applications讀者反饋
書目名稱Advanced Data Mining and Applications讀者反饋學(xué)科排名
作者: HARP 時間: 2025-3-21 22:12
A Novel Variational Autoencoder with?Multi-position Latent Self-attention and?Actor-Critic for?Recomarakter der Flora aller dieser Gebiete wird neben den pedologischen Gegebenheiten vor allem vom Klima und hier weniger von den Temperaturverh?ltnissen, sondern von der Menge und Verteilung der Niederschl?ge im Jahresablauf bestimmt.作者: entice 時間: 2025-3-22 04:10 作者: Schlemms-Canal 時間: 2025-3-22 04:56
CPMFA: A Character Pair-Based Method for?Chinese Nested Named Entity Recognition mankind have caused small changes, thus it follows that the combined activities of biological processes must return materials to the lithosphere as rapidly as they are able to remove them from it. This steady state is maintained by the carefully controlled balance of synthetic (anabolic) and degradational (catabolic) metabolic processes.作者: frenzy 時間: 2025-3-22 11:28 作者: Admire 時間: 2025-3-22 15:16 作者: certain 時間: 2025-3-22 20:02
Knowledge-Rich Influence Propagation Recommendation Algorithm Based on?Graph Attention Networkssupercritical technology and ultrasound- and microwave-assisted extraction coupled with green solvents have been studied to replace time-consuming processes that use strong acids. During the year range 2012–2022, the patented processes for the extraction of phenolic compounds for pharmaceuticals and cosmetics are discussed.作者: 打谷工具 時間: 2025-3-23 00:24
Modeling of?Repeated Measures for?Time-to-event Predictioneconomic needs. Pragmatic conservation measures are required to protect such habitats, because they represent threatened or rare and endemic species that are of economic importance to the local communities and thus are used unsustainably.作者: connoisseur 時間: 2025-3-23 04:03 作者: mortgage 時間: 2025-3-23 07:01
Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolopagation, genetic engineering and germplasm preservation soon followed, and within only a few years, all other regeneration and propagation routines in biotechnology were marginalized by somatic embryogenesis. A story of success was launched.作者: ABASH 時間: 2025-3-23 12:02 作者: 貪婪地吃 時間: 2025-3-23 16:25 作者: 壓倒 時間: 2025-3-23 21:43
petition between rhizobia and AMF for carbohydrates. Further research is required to understand the complete nitrogen-fixing pathway by AMF. In this chapter, various roles of AMF as a symbiont, their similarities with bacterial symbionts, and their current knowledge with nitrogen uptake are summarized.作者: Inelasticity 時間: 2025-3-24 00:58 作者: Deadpan 時間: 2025-3-24 03:56 作者: enmesh 時間: 2025-3-24 07:19
Front Matterctaceen (z. B. . 1915) und succulenten Compositen angetroffen (z. B. . und . 1939, . und . 1944) und darüber hinaus mindestens angedeutet bei vielen anderen succulenten und nicht-succulenten Pflanzen der verschiedensten Familien (vgl. zusammenfassende Darstellungen bei S. 1929, 1955 und .-. 1933a).作者: 考得 時間: 2025-3-24 12:23
gases (NO., SO., O., etc.), heavy metals, and VOC pollutants are reduced by absorbing and metabolizing them into less toxic compounds by site-specific plants or through the changes in the plant genome by overexpression of pollution-fighting genes through genetic engineering.作者: 柳樹；枯黃 時間: 2025-3-24 18:39
Multi-level Noise Filtering and?Preference Propagation Enhanced Knowledge Graph Recommendation rents to general predation. gate those things common to the parts and, specifically, those The second type of relationship involves interaction of things that unify the parts. The fundamental aspects of many plants with other organisms and with their environment. Bio- of these interactions are chem作者: MUTE 時間: 2025-3-24 19:08
Fair Re-Ranking Recommendation Based on?Debiased Multi-graph Representationsformation on theoretical, technical and experimental aspects of plant stress biology, this extensive volume is a valuable resource for researchers, academician and students in the broad field of plant stress biology, physiology, microbiology, environmental and agricultural science..作者: DEBT 時間: 2025-3-25 03:13 作者: AGGER 時間: 2025-3-25 06:50 作者: engrave 時間: 2025-3-25 08:08
Relaxation of the Comic Sublime essentially adds a new modality to 1D time series and converts the multivariate time series classification into a multi-modality data classification task, making it possible to bring powerful backbones from computer vision fields to solve the time series classification problem. We then construct a 作者: 沙發(fā) 時間: 2025-3-25 13:56
Bernard Shaw and the Comic Sublimesformer-based variants. Our findings reveal the varying effectiveness of positional embedding on different model architectures, highlighting the significance of using positional embedding cautiously in Transformer-based models.作者: 饒舌的人 時間: 2025-3-25 19:21 作者: jettison 時間: 2025-3-25 22:18
Audrey McNamara,Nelson O’Ceallaigh Ritschely using Transformers. Furthermore, we incorporate an anomaly amplification strategy to enhance the detection of anomalies. Experimental results on four public datasets demonstrate the superiority of our proposed model in terms of anomaly detection and interpretation.作者: 脫毛 時間: 2025-3-26 03:02 作者: 期滿 時間: 2025-3-26 06:42
Shaw and Spanish Music Criticism that iteratively expands item auxiliary information on KG. Additionally, we propose a multi-level noise filtering mechanism. By learning the relationship consistency between the item and its neighbor entities, the model can guide the item to selectively link highly related neighbors in preference p作者: squander 時間: 2025-3-26 08:42 作者: guzzle 時間: 2025-3-26 12:37 作者: companion 時間: 2025-3-26 20:26 作者: Excitotoxin 時間: 2025-3-26 23:32 作者: Spina-Bifida 時間: 2025-3-27 04:59
Bernard Shaw‘s Marriages and Misalliancesct extensive experiments on 6 benchmark NER datasets, 3 of which are nested NER tasks. The experiments show that: (a) Our proposed convolutional bypass method can significantly improve the overall performances of the multi-exit BERT biaffine NER model. (b) our proposed early exiting mechanisms can e作者: Mnemonics 時間: 2025-3-27 07:26 作者: 殘酷的地方 時間: 2025-3-27 09:39 作者: Lobotomy 時間: 2025-3-27 17:27 作者: Spinal-Tap 時間: 2025-3-27 19:34
https://doi.org/10.1007/978-3-031-46661-8artificial intelligence; computational linguistics; computer networks; computer systems; computer vision作者: 遺產(chǎn) 時間: 2025-3-27 22:15
978-3-031-46660-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 閑逛 時間: 2025-3-28 04:48
Development of the Comic Sublime fragmentary and incomplete with censored intervals or missing data, making it hard for downstream prediction and decision-making tasks. In this work, we propose a fresh extension on the definition of the temporal point process, which conventionally characterizes chronological prediction based on hi作者: angiography 時間: 2025-3-28 06:43
Relaxation of the Comic Sublimeaces. Deep learning methods have recently achieved promising performance thanks to their powerful representation learning capacity. However, existing deep learning-based classifiers rely solely on temporal information while disregarding clues from the frequency perspective. In this regard, we propos作者: pulmonary-edema 時間: 2025-3-28 13:40
Bernard Shaw and the Comic SublimeCurrent Transformer-based models routinely use positional embedding for their position-sensitive modules while no efforts are paid to evaluating its effectiveness in specific problems. In this paper, we explore the impact of positional embedding on the vanilla Transformer and six Transformer-based v作者: 真實的你 時間: 2025-3-28 17:19 作者: 蝕刻術(shù) 時間: 2025-3-28 18:55
President of Ireland Michael D. Higginsn resulting in unclear timestamps. Therefore, this article combines the conclusion dependency graph into a process dependency graph to determine the identification order of the timeliness of each process data; By constructing a weighted timeliness graph (WTG) and path single flux, a data timeliness 作者: Embolic-Stroke 時間: 2025-3-29 00:59 作者: harbinger 時間: 2025-3-29 07:10
Guillermo Schmidhuber de la Moraks (GCNs) have drawn wide attention as an effective recommendation approach. By modeling the user-item interaction graph, GCN iteratively aggregates neighboring nodes into embeddings of different depths according to the importance of each node. However, the existing GCN-based methods face the common作者: NIB 時間: 2025-3-29 08:45
Shaw and Spanish Music Criticismcent years, the trend in knowledge-aware recommendation methods has been to leverage Graph Neural Networks (GNNs) to aggregate node information in KG. However, many of these methods focus on mining the item knowledge association on KG, but ignore the potential item auxiliary information in user’s hi作者: Host142 時間: 2025-3-29 14:39
Shaw and Spanish Music Criticismfficiently capture user and item characteristics, accurately reflecting user preferences. However, supervised signals with graph structure are extraordinarily sparse, and the collaborative and knowledge graphs contain irrelevant edges, exacerbating noise propagation and reducing the robustness of re作者: 生氣地 時間: 2025-3-29 19:37
Borges’s Admiration for George Bernard Shaws challenge, most graph neural network based RAs explicitly incorporate high-order collaborative filtering signals on the user-item bipartite graph with either multi-layer semantics on the Knowledge Graph (KG) or multi-level neighbors on the social network. However, none of them fully integrate thes作者: Orthodontics 時間: 2025-3-29 22:57
First Steps: The Mansfield Years,nsional representation of data, latent vectors play a vital role in the transmission of important information in a VAE model. However, VAE-based models suffer from a common limitation that the transmission ability of the latent vectors’ important information is limited, resulting in lower quality of作者: 沒花的是打擾 時間: 2025-3-30 00:00 作者: forager 時間: 2025-3-30 08:08
Bernard Shaw‘s Marriages and Misalliancesrence speedup methods for BERT-based NER models to be deployed in the industrial setting. Early exiting allows the model to use only the shallow layers to process easy samples, thus reducing the average latency. In this work, we introduce FastNER, a novel framework for early exiting with a BERT biaf作者: GRIEF 時間: 2025-3-30 10:09 作者: inundate 時間: 2025-3-30 14:06
Shaw and Artificial Intelligence,STE task either in a pipeline or end-to-end manner, both methods have their limitations. Pipeline methods may accumulate errors in practical applications, while sequence labeling methods in end-to-end approaches may overlook important feature information of the three elements themselves. Additionall作者: 十字架 時間: 2025-3-30 20:31
Bernard Shaw and His Contemporaries comparisons and speeding up ER. Blocking is usually an unsupervised task. In this paper, we develop an unsupervised blocking framework based on pre-trained language models (B-PLM). B-PLM exploits the powerful linguistic expressiveness of the pre-trained language models. A design space for B-PLM con作者: cocoon 時間: 2025-3-30 23:46
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/145485.jpg作者: 使迷惑 時間: 2025-3-31 01:25
0302-9743 d in Shenyang, China,?during August 21–23, 2023..The?216?full papers included in this book were carefully reviewed and?selected from?503?submissions. They were organized in topical sections as follows:?Data mining foundations,?Grand challenges of data mining,?Parallel and distributed data mining alg作者: 搜集 時間: 2025-3-31 05:16 作者: intrigue 時間: 2025-3-31 12:18
Conference proceedings 2023organized in topical sections as follows:?Data mining foundations,?Grand challenges of data mining,?Parallel and distributed data mining algorithms,?Mining on data streams,?Graph mining and?Spatial data mining..
