標題: Titlebook: Artificial Intelligence Applications and Innovations; 14th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia Conference pr [打印本頁] 作者: 你太謙虛 時間: 2025-3-21 16:52
書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)
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書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Artificial Intelligence Applications and Innovations讀者反饋
書目名稱Artificial Intelligence Applications and Innovations讀者反饋學(xué)科排名
作者: 倔強一點 時間: 2025-3-21 23:48
Finding Influential Users in Twitter Using Cluster-Based Fusion Methods of Result Listsal networks. The novelty of our approach lies in the fact that we incorporate a set of features for characterizing social media authors, including both nodal and topical metrics, along with new features concerning temporal aspects of user participation on the topic. We also take advantage of cluster作者: Exonerate 時間: 2025-3-22 00:41 作者: 青少年 時間: 2025-3-22 06:59
Spam Filtering in Social Networks Using Regularized Deep Neural Networks with Ensemble Learningdeveloped to deal with this complex problem. Traditional machine learning approaches such as neural networks, support vector machine and Na?ve Bayes classifiers are not effective enough to process and utilize complex features present in high-dimensional data on social network spam. To overcome this 作者: 豐滿中國 時間: 2025-3-22 09:06
Sub-event Detection on Twitter Networketection problem using three statistical methods: Kalman Filter, Gaussian Process, and Probabilistic Principal Component Analysis. These methods are used to construct the probability distribution of percentage change in the number of tweets. Outliers are identified as future observations that do not作者: 說笑 時間: 2025-3-22 15:15 作者: laparoscopy 時間: 2025-3-22 17:11 作者: 神秘 時間: 2025-3-23 00:39
Keywords-To-Text Synthesis Using Recurrent Neural Networkch tagging library is employed to extract verbs and nouns from the texts used in our work, a part of which are then considered, after automatic eliminations, as the aforementioned keywords. Our ultimate aim is to train a Recurrent Neural Network to map the keyword sequence of a text to the entire te作者: 合唱團 時間: 2025-3-23 02:05 作者: 魯莽 時間: 2025-3-23 07:12 作者: Eclampsia 時間: 2025-3-23 11:33 作者: 現(xiàn)任者 時間: 2025-3-23 17:20 作者: Schlemms-Canal 時間: 2025-3-23 18:45 作者: PTCA635 時間: 2025-3-23 23:29
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vecon traditional base kernels that are used to improve performance on non-linearly separable datasets. Multiple kernels use combinations of those base kernels to develop novel kernel shapes that allow for more diversity in the generated solution spaces. Customising these kernels to the dataset is stil作者: 牽索 時間: 2025-3-24 06:26 作者: Obstreperous 時間: 2025-3-24 10:15 作者: Irksome 時間: 2025-3-24 13:15
Symbolic Propagation of Evidence,diagram. A prototype of this approach to support automated recognition of UML and domain concepts from class diagrams and its performance are also discussed in this paper. This paper concludes with a reflection of the strengths and limitations of the proposed approach.作者: Occupation 時間: 2025-3-24 15:29 作者: Senescent 時間: 2025-3-24 21:45
John M. McCann,John P. Gallagherets, ., the UCF-101 dataset and HMDB-51 dataset. Our method achieves significantly improvements on both datasets compared with existing methods. The results show that our proposed CatNet?is able to focus on the representative frames corresponding to a specific action category, and meanwhile significantly improve the recognition performance.作者: 壓倒 時間: 2025-3-25 00:35 作者: Original 時間: 2025-3-25 04:16
Proposing Expert System Projects,image processing and machine learning methods from the expiry date region. The system is the first camera based automatic system for recognizing expiry date on food packages. And the results tested on different types of food packages show that the system can achieve good performance on both detection and recognition of the expiry date.作者: 躺下殘殺 時間: 2025-3-25 09:13 作者: Incise 時間: 2025-3-25 15:21 作者: 使尷尬 時間: 2025-3-25 17:49
Improving Deep Models of Person Re-identification for Cross-Dataset Usageethod of training the model on multiple datasets, and a method for its online practically unsupervised fine-tuning. These methods yield up to 19.1% improvement in Rank-1 score in the cross-dataset evaluation.作者: 讓你明白 時間: 2025-3-25 22:54
Content-Aware Attention Network for Action Recognitionets, ., the UCF-101 dataset and HMDB-51 dataset. Our method achieves significantly improvements on both datasets compared with existing methods. The results show that our proposed CatNet?is able to focus on the representative frames corresponding to a specific action category, and meanwhile significantly improve the recognition performance.作者: photopsia 時間: 2025-3-26 01:38 作者: 堅毅 時間: 2025-3-26 04:21 作者: 不朽中國 時間: 2025-3-26 11:41 作者: 虛弱 時間: 2025-3-26 13:01 作者: 不如樂死去 時間: 2025-3-26 18:52
The History of Artificial Intelligencee each trial requires a re-training of the SVM model, our method accelerates the RS optimization. The code runs on a multi-core system and we analyze the achieved scalability for an increasing number of cores.作者: thwart 時間: 2025-3-26 21:44 作者: bonnet 時間: 2025-3-27 02:41 作者: avulsion 時間: 2025-3-27 06:45
John M. McCann,John P. Gallagher as efficiently as possible. The predicted texts are understandable enough, and their performance depends on the problem difficulty, determined by the percentage of full text words that are considered as keywords (ranging from 1/3 to 1/2), and the training memory cost, mainly affected by the network architecture.作者: wall-stress 時間: 2025-3-27 12:26
Keywords-To-Text Synthesis Using Recurrent Neural Network as efficiently as possible. The predicted texts are understandable enough, and their performance depends on the problem difficulty, determined by the percentage of full text words that are considered as keywords (ranging from 1/3 to 1/2), and the training memory cost, mainly affected by the network architecture.作者: BUCK 時間: 2025-3-27 14:22 作者: brother 時間: 2025-3-27 18:38 作者: 可耕種 時間: 2025-3-27 22:09
Conference proceedings 2018rning, regression, classification; neural networks; medical intelligence; recommender systems; optimization; learning, intelligence; heuristic approaches, cloud; fuzzy; and human and computer interaction, sound, video, processing..作者: CLAMP 時間: 2025-3-28 02:47
1868-4238 achine learning, regression, classification; neural networks; medical intelligence; recommender systems; optimization; learning, intelligence; heuristic approaches, cloud; fuzzy; and human and computer interaction, sound, video, processing..978-3-030-06347-4978-3-319-92007-8Series ISSN 1868-4238 Series E-ISSN 1868-422X 作者: Little 時間: 2025-3-28 07:33 作者: 鼓掌 時間: 2025-3-28 10:45
Artificial Intelligence Applications and Innovations14th IFIP WG 12.5 In作者: 剝皮 時間: 2025-3-28 14:43
Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia作者: 令人悲傷 時間: 2025-3-28 21:25
ASPES: A Skeletal Pascal Expert System,ng Card Game, the use of RMs leads to a greatly improved search speed and an extremely limited branching factor. This permits the AI player to play more intelligently than the same algorithm that does not employ them.作者: bonnet 時間: 2025-3-29 02:51
nation. The results of the carried-out experiments show that the correlation exists in our studied real-life datasets. A high correlation existed between the k-core size and the sizes of the inner k-shells in all the examined datasets. However, the correlation starts to decrease in the outer k-shell作者: 壓艙物 時間: 2025-3-29 03:55
John M. McCann,John P. Gallagherwith backpropagation. Our experiments show that the proposed attention mechanism contributes substantially to the performance gains with the more discriminative snippets by focusing on more relevant video segments.作者: nugatory 時間: 2025-3-29 08:01
Evaluation of Development Tools,orithm achieved high accuracy and robustness for detecting lane boundaries in a variety of scenarios in real time. Besides, we also realized the application of our algorithm on embedded platforms and verified the algorithm’s real-time performance on real self-driving cars.作者: Aerate 時間: 2025-3-29 15:25
Developments in Expert Audit Systemshether the resulting values are statistically different populations. A selection of 8 different datasets are chosen and trained against a binary classifier. The research will demonstrate the power for MKL to produce new and effective kernels showing the power and usefulness of this approach.作者: 鈍劍 時間: 2025-3-29 16:24 作者: 洞穴 時間: 2025-3-29 22:17 作者: 無底 時間: 2025-3-30 03:26 作者: 松軟 時間: 2025-3-30 07:57
Spatial-Temproal Based Lane Detection Using Deep Learningorithm achieved high accuracy and robustness for detecting lane boundaries in a variety of scenarios in real time. Besides, we also realized the application of our algorithm on embedded platforms and verified the algorithm’s real-time performance on real self-driving cars.作者: panorama 時間: 2025-3-30 08:47
An Investigation into the Effects of Multiple Kernel Combinations on Solutions Spaces in Support Vechether the resulting values are statistically different populations. A selection of 8 different datasets are chosen and trained against a binary classifier. The research will demonstrate the power for MKL to produce new and effective kernels showing the power and usefulness of this approach.作者: 圍巾 時間: 2025-3-30 12:48 作者: Glossy 時間: 2025-3-30 17:37 作者: 后退 時間: 2025-3-30 21:40
