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: charter 時間: 2025-3-21 18:41
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: 表皮 時間: 2025-3-21 23:35
lizzard) and field bean (. L. cv. Alfred) plants. The net release of sugars into the root medium (0.1 m. CaSO.) was stimulated by: the protonophore CCCP (10 μ.); the sulfhydryl reagent NEM (300 μ.); the specific inhibitor of plasmalemma ATPase vanadate (0.5 m.); and the inhibitor of the glucose carr作者: 騷動 時間: 2025-3-22 00:57
SL-TeaE: An Efficient Method for Improving the Precision of Teaching Evaluationing, the emphasis was placed on the technical possibilities associated with the use of rapeseed oil as a fuel. However, research has shown that pure rapeseed oil can only be used in specially designed engines. Research that followed indicated that rapeseed oil methylester (RME) was a suitable replac作者: fibula 時間: 2025-3-22 07:01 作者: 人類的發(fā)源 時間: 2025-3-22 10:13
Sentence-Level Event Detection Without Triggers via?Prompt Learning and?Machine Reading Comprehensioes, fungi, bacteria, viruses, and pests drastically damage the crops. Plant–pathogen interaction is an intricate and complex process. It is therefore essential to counteract this yield loss in order to efficiently increase the surplus production of crops. A shift in studies from the traditional to m作者: crease 時間: 2025-3-22 13:25 作者: 品牌 時間: 2025-3-22 19:34
Adaptive Prototype Network with?Common and?Discriminative Representation Learning for?Few-Shot Relate the host, to colonize the host and to ultimately cause harm. Such substances, also referred to as pathogenicity/virulence factors, include enzymes, non-enzymatic proteins, peptides, hormones, toxins and polysaccharides. In addition, pathogens possess the capacity to suppress host defense responses作者: Parameter 時間: 2025-3-22 23:48 作者: Counteract 時間: 2025-3-23 01:23
Implicit Sentiment Extraction Using Structure Generation with?Sentiment Instructor Prompt Templatealence of unfavorable environmental conditions around the globe. These conditions impose stress on the crop plants leading to a huge economic loss of yield. To survive under?these stressful conditions, the most prominent way is the endogenous production of various phytohormones. Upon production,?the作者: 人類學(xué)家 時間: 2025-3-23 07:17
SE-Prompt: Exploring Semantic Enhancement with?Prompt Tuning for?Relation Extraction the glyoxylate cycle, and the metabolism of ureides (Huang ., 1983; del Río ., 1992; Reumann, 2000). A characteristic property of peroxisomes is their metabolic plasticity since their enzymatic content can vary depending on the organism, cell/tissue-type and environmental conditions. An illustrativ作者: COST 時間: 2025-3-23 11:05 作者: 一再煩擾 時間: 2025-3-23 17:17
SSM: Semantic Selection and?Multi-view Alignment for?Image-Text Retrieval through phenylpropanoid pathway. Among phenolic compounds, flavonoids are significant having significant function in various plant physiological processes. Formation of reactive oxygen species (ROS) is one of the strategies used by plants under stress. However, excess production of ROS has negative作者: Glaci冰 時間: 2025-3-23 19:43 作者: voluble 時間: 2025-3-24 00:07 作者: spinal-stenosis 時間: 2025-3-24 04:25 作者: Antagonism 時間: 2025-3-24 07:27
A Chinese Named Entity Recognition Method Based on Textual Information Perception Fusionplant production on a global scale. Low water availability limits the productivity of many natural ecosystems, particularly in dry climates (Fig. 3.1). In addition, losses in crop yield due to water stress exceed losses due to all other biotic and environmental factors combined (Boyer 1985). Regions作者: ascetic 時間: 2025-3-24 10:44 作者: Gerontology 時間: 2025-3-24 17:52 作者: 成份 時間: 2025-3-24 21:53 作者: 輕打 時間: 2025-3-25 02:24 作者: Libido 時間: 2025-3-25 06:11
978-3-031-46673-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Peristalsis 時間: 2025-3-25 09:13 作者: 雄偉 時間: 2025-3-25 14:46
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/145483.jpg作者: Synapse 時間: 2025-3-25 16:37
https://doi.org/10.1007/978-3-662-02091-3n for teaching evaluation (SL-TeaE). We expand a general basic sentiment lexicon based on teaching evaluation data from our university’s academic system by creating a list of adverbs of degree and negative words. We use the TextRank algorithm to select sentiment seed words from user data and the SO-作者: jettison 時間: 2025-3-25 23:44
https://doi.org/10.1007/978-3-662-02091-3ased on a pre-trained model ignores the syntactic relations in the text and associations between different data; however, these relations can provide crucial missing auxiliary information for the MNER task. Therefore, we propose an auxiliary and syntactic relation enhancement graph fusion (ASGF) met作者: Immobilize 時間: 2025-3-26 01:20
https://doi.org/10.1007/978-3-662-02091-3ds first are identified from sentences and then utilized to categorize event types. However, this classification hugely relies on a substantial amount of annotated trigger words along with the accuracy of the trigger identification process. This annotation of trigger words is labor-intensive and tim作者: Abnormal 時間: 2025-3-26 05:08
https://doi.org/10.1007/978-3-662-02091-3asoning abilities, the challenging logical reasoning tasks are proposed. Existing approaches use graph-based neural models based on either sentence-level or entity-level graph construction methods which designed to capture a logical structure and enable inference over it. However, sentence-level met作者: Nonthreatening 時間: 2025-3-26 11:30
https://doi.org/10.1007/978-3-662-02091-3sed on textual data using only a limited number of labeled examples for training. Recently, quite a few studies have proposed to handle this task with task-agnostic and task-specific weights, among which prototype networks have proven to achieve the best performance. However, these methods often suf作者: 憤憤不平 時間: 2025-3-26 15:37 作者: 旁觀者 時間: 2025-3-26 19:24
Berliner Klinische Antrittsvorlesungenge of emotional causes. Existing approaches focus on solving explicit sentiment, but struggle with analyzing implicit sentiment reviews. In this paper, to address the issue, we propose SI-TS, a framework that takes implicit sentiment extraction into account. Specifically, we design target structure 作者: Mercantile 時間: 2025-3-27 00:02
Differentialdiagnose des Schlaganfalls,. By inserting a template segment into the input, prompt tuning has proven effective for certain classification tasks. However, applying prompt tuning to relation extraction tasks, which involve mapping multiple words to a single label, poses challenges due to difficulties in precisely defining a te作者: 含糊 時間: 2025-3-27 04:09 作者: INERT 時間: 2025-3-27 07:48
,Friedrichstra?e und KOAI (Fallstudie I),multimodal information, the Transformer-based alignment model has become the mainstream of image-text retrieval. However, current Transformer-based alignment models suffer from two major limitations: (1) The redundancy of modal features and the complexity of correlations between modalities restrict 作者: 國家明智 時間: 2025-3-27 11:58
Alexanderplatz (Fallstudie II), many researchers using deep generative models for voice conversion tasks. Generative Adversarial Networks (GANs) can quickly generate high-quality samples, but the generated samples lack diversity. The samples generated by the Denoising Diffusion Probabilistic Models (DDPMs) are better than GANs in作者: 注意到 時間: 2025-3-27 13:36
https://doi.org/10.1007/978-3-658-33237-2ue to its broad applicability in the field of Music Information Retrieval. It can also be used as the upstream task of many other human-related tasks such as emotional music generation and music recommendation. Due to existing psychology research, music emotion is determined by multiple factors such作者: Bricklayer 時間: 2025-3-27 19:06 作者: 前奏曲 時間: 2025-3-27 23:56
Cornelius Schubert,Ingo Schulz-Schaeffer information extraction, question answering, and machine translation. In real-world, to perform named entity recognition tasks conveniently and quickly, it requires NER methods can quickly and accurately identify entities from the input text after being trained by a small training set for subsequent作者: 大猩猩 時間: 2025-3-28 03:32 作者: appall 時間: 2025-3-28 07:23
Berliner Schlüssel zur Techniksoziologieted substantial challenges for effective network management. However, existing methods for extracting features from video traffic primarily focus on conventional traffic attributes, resulting in suboptimal identification accuracy. Furthermore, the challenge of handling high-dimensional data is a com作者: 頂點 時間: 2025-3-28 12:20
https://doi.org/10.1007/978-1-137-01775-8n order to solve the challenges caused by multiple viewpoints of skeleton data, in this paper, we proposed a novel view-invariant method for online skeleton gesture recognition. The whole skeleton sequence data as a point set in our method and a PCA-based view-invariant data preprocessing algorithm 作者: Agnosia 時間: 2025-3-28 16:06 作者: Flagging 時間: 2025-3-28 20:50 作者: HIKE 時間: 2025-3-29 01:48
https://doi.org/10.1007/978-3-662-02091-3the similar sample to supplement the entity information of the text to be recognized. Second, we parse the syntax of the text to capture the syntactic dependencies between different words and integrate them into the relation graph to further enhance its semantic information. Finally, the relation gr作者: athlete’s-foot 時間: 2025-3-29 03:10
https://doi.org/10.1007/978-3-662-02091-3graph, and learn the logical-aware features through a graph network for subsequent answer prediction. Furthermore, we implement a positional embedding mechanism to enforce the positional dependence, which facilitates logical reasoning. Our experimental results demonstrate that our approach provides 作者: 失望未來 時間: 2025-3-29 09:46
https://doi.org/10.1007/978-3-662-02091-3 the representation learning of the entity pairs and instances. We obtain the hybrid prototype representation by combining common and discriminative features to enhance the adaptability and recognizability of few-shot relation extraction. Experimental results on FewRel dataset, under various few-sho作者: 事物的方面 時間: 2025-3-29 12:04
https://doi.org/10.1007/978-3-662-02091-3 dialogue context to learn the original cognitive and affective representations and fuse them with the knowledge-enhanced representations in cognition and affection. Finally, we feed the two fused representations into a decoder to produce empathetic replies. Extensive experiments conducted on the be作者: DEVIL 時間: 2025-3-29 18:34 作者: Pessary 時間: 2025-3-29 20:16 作者: 接觸 時間: 2025-3-30 01:02
Inkrafttreten, übergangsvorschriftentering and then uses contrast fusion to enhance the discriminative ability of the samples. This approach avoids the potential challenges related to negative sample selection and does not require the construction of positive and negative samples. For pseudo-labels, the framework utilizes self-supervi作者: vocation 時間: 2025-3-30 06:18
,Friedrichstra?e und KOAI (Fallstudie I),ifferent features during the alignment process. On the other hand, we design a multi-view cross-modal alignment method that considers different granularity and different level of information to provide complementary benefits in representation learning. We compare SSM with other advanced image-text r作者: rectocele 時間: 2025-3-30 10:27
Alexanderplatz (Fallstudie II),According to both objective and subjective evaluation experiments, DiffGAN-VC has been shown to achieve high voice quality on non-parallel data sets. Compared with the CycleGAN-VC method, DiffGAN-VC achieves speaker similarity, naturalness and higher sound quality.作者: Scintigraphy 時間: 2025-3-30 14:19 作者: Foregery 時間: 2025-3-30 16:56
https://doi.org/10.1007/978-3-658-22257-4and uses multi-hop reasoning to analyze the entities on the meta-path to determine whether there is a strong reasoning path between the entity pair. The relational reasoning module built into the method makes the classifier focus more on the relevant entity pairs in the document, thus reducing the t作者: 柔美流暢 時間: 2025-3-30 21:45 作者: 收集 時間: 2025-3-31 02:54 作者: moratorium 時間: 2025-3-31 06:24
Berliner Schlüssel zur Techniksoziologies, thereby assembling an expansive feature repertoire. Secondly, in the pursuit of forming an effective subset of features, the current research introduces the adaptive distribution distance-based feature selection (ADDFS) methodology. Using the Wasserstein distance metric to quantify the difference作者: opalescence 時間: 2025-3-31 12:00
https://doi.org/10.1007/978-1-137-01775-8ity based on multi-task learning framework. We utilize graph neural network to learn user representation from both the information cascades and social network structure. Comparing with micro and macro level baseline methods separately, the prediction results of our proposed model outperform all base作者: prodrome 時間: 2025-3-31 16:33
