標(biāo)題: Titlebook: Housing Markets in Europe; A Macroeconomic Pers Olivier Bandt,Thomas Knetsch,Francesco Zollino Book 2010 Springer-Verlag Berlin Heidelberg [打印本頁(yè)] 作者: 女孩 時(shí)間: 2025-3-21 19:09
書(shū)目名稱Housing Markets in Europe影響因子(影響力)
書(shū)目名稱Housing Markets in Europe影響因子(影響力)學(xué)科排名
書(shū)目名稱Housing Markets in Europe網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Housing Markets in Europe網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Housing Markets in Europe被引頻次
書(shū)目名稱Housing Markets in Europe被引頻次學(xué)科排名
書(shū)目名稱Housing Markets in Europe年度引用
書(shū)目名稱Housing Markets in Europe年度引用學(xué)科排名
書(shū)目名稱Housing Markets in Europe讀者反饋
書(shū)目名稱Housing Markets in Europe讀者反饋學(xué)科排名
作者: 陰謀小團(tuán)體 時(shí)間: 2025-3-21 23:11 作者: 排他 時(shí)間: 2025-3-22 03:34 作者: Exposition 時(shí)間: 2025-3-22 06:00 作者: disparage 時(shí)間: 2025-3-22 12:41
Guido Bulliganameters are unknown or uncertain. Recent research focuses on predicting the value of these unknown parameters using available contextual features, aiming to decrease decision . by adopting end-to-end learning approaches. However, these approaches disregard prediction uncertainty and therefore make t作者: 泄露 時(shí)間: 2025-3-22 14:43
Laurent Ferrara,Olivier Vigna sensors respond to different stimuli with different dynamics, the sensor dynamics may provide valuable information for classification. The problem of determining which of the dynamics has generated a particular observation vector is refered to as a multiclass discrimination problem. A discriminativ作者: 溫室 時(shí)間: 2025-3-22 17:52 作者: Infect 時(shí)間: 2025-3-22 21:42 作者: MURKY 時(shí)間: 2025-3-23 02:59 作者: BIDE 時(shí)間: 2025-3-23 07:53
Olivier de Bandt,Karim Barhoumi,Catherine Bruneaucy of wind power, a short-term wind power prediction model (CEEMDAN-ICOA-GRU) based on a Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) combined with improved Coati Optimization Algorithm(ICOA) to optimize Gated Recurrent Unit (GRU) is proposed in this paper. First, CEE作者: set598 時(shí)間: 2025-3-23 11:11 作者: Baffle 時(shí)間: 2025-3-23 14:28
Pamfili Antipa,Rémy Lecattop-layer features through simple compression and nonlinear processing as the global context,?which inevitably lacks the integrity of the object. Moreover, directly integrating multi-level features with global context is ineffective for solving semantic dilution. Although the global context?is consi作者: Institution 時(shí)間: 2025-3-23 18:43
Thomas A. Knetschents an issue: among multiple predictions highly overlapping with the target, only one is labeled as a positive sample, while the remainder are categorized as negative samples. Consequently, these negative samples cause misalignment of low category confidence and accurate position regression, and in作者: 山崩 時(shí)間: 2025-3-24 01:27
Tobias Duemmler,Stephan Kienlengs of existing Deepfake video detection methods in terms of generalizability and resistance to compression artifacts, we introduce a model named BiFAT. BiFAT synergizes bilateral filtering and attention mechanisms within a two-stream model to transcend the limitations of traditional binary classifi作者: 遭受 時(shí)間: 2025-3-24 05:48
Filippo Scocciantings of existing Deepfake video detection methods in terms of generalizability and resistance to compression artifacts, we introduce a model named BiFAT. BiFAT synergizes bilateral filtering and attention mechanisms within a two-stream model to transcend the limitations of traditional binary classifi作者: Explosive 時(shí)間: 2025-3-24 08:23 作者: 低三下四之人 時(shí)間: 2025-3-24 11:30 作者: 拱墻 時(shí)間: 2025-3-24 15:27 作者: Calculus 時(shí)間: 2025-3-24 20:28 作者: Confess 時(shí)間: 2025-3-25 02:51 作者: Harridan 時(shí)間: 2025-3-25 05:45 作者: BRIDE 時(shí)間: 2025-3-25 10:29 作者: 包庇 時(shí)間: 2025-3-25 13:07
he protein functionalities. Extensive experiments demonstrate that ProTeM achieves performance on par with individually finetuned models, and outshines the model based on conventional multi-task learning. Moreover, ProTeM unveils an enhanced capacity for protein representation, surpassing state-of-t作者: 事物的方面 時(shí)間: 2025-3-25 16:27
Matteo Iacoviellodard softmax-based classifier. This approach allows for simultaneous estimation of the input data distribution and the class probabilities during training, improving calibration without needing an additional labeled dataset. Experimental results showcase improved classification performance compared 作者: RODE 時(shí)間: 2025-3-25 21:31 作者: 有權(quán) 時(shí)間: 2025-3-26 04:00 作者: PHIL 時(shí)間: 2025-3-26 06:35
Laurent Ferrara,Olivier Vigna observation vector. In practice, when the system is unknown and noisy, an “approximate” nullspace is obtained with a data-driven approach using eigenvalue or singular value decomposition. We tested the classifier on synthetic and real datasets. Results demonstrate the applicability of the method. T作者: 破裂 時(shí)間: 2025-3-26 09:12
Luis J. álvarez,Alberto Cabrero detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision...Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intel作者: 鐵砧 時(shí)間: 2025-3-26 16:13
Luis J. álvarez,Guido Bulligan,Alberto Cabrero,Laurent Ferrara,Harald Stahled for explicit prompting LLM during inference. Experimental results show that our method can refine the TSM prediction by 10% to 40% in various zones, as well as enhance transfer learning by 10% to 21% through the inclusion of market context of the source zone when predicting the target zone. Remar作者: 仲裁者 時(shí)間: 2025-3-26 20:25 作者: 表兩個(gè) 時(shí)間: 2025-3-26 21:12 作者: 減震 時(shí)間: 2025-3-27 03:55 作者: Critical 時(shí)間: 2025-3-27 06:04
Pamfili Antipa,Rémy Lecat?the foundation for global context extraction. Secondly, we construct?a Global Perception Module (GPM) for global context modeling through pixel-level correspondence, which employs a global sliding weighted technique to provide the network with rich semantics and acts?on each layer to enhance SOD pe作者: linear 時(shí)間: 2025-3-27 09:43
Thomas A. Knetschrates the proximity between suboptimal samples and positive samples as new loss term, so as to devise the one-dimensional spatial constraint ComPreHensive L1 Loss (CPH L1 Loss) and the two-dimensional spatial constraint ComPreHensive Generalized Intersection over Union Loss (CPH GIoU Loss). The appr作者: 酷熱 時(shí)間: 2025-3-27 14:07 作者: 字的誤用 時(shí)間: 2025-3-27 20:31 作者: 啜泣 時(shí)間: 2025-3-27 23:46
ptors to make predictions. Based on the observation in this paper, we find and empirically demonstrate that such features, when extracted from the ViT model, consistently improve the classification performance. Moreover, we observe that the pre-trained ViT which is fine-tuned on specific dataset is 作者: Intend 時(shí)間: 2025-3-28 04:12 作者: 恩惠 時(shí)間: 2025-3-28 07:27 作者: Admire 時(shí)間: 2025-3-28 10:58
Antonio Bassanetti,Francesco Zollinof the CNN was based on EEGNet. The performance of the multi-modal approach was compared to mono-modal baselines (based on EEG or EMG only). The multi-modal EEG+EMG pipeline outperformed the EEG-based pipeline during movement initiation, while it outperformed the EMG-based pipeline in motor preparati作者: Range-Of-Motion 時(shí)間: 2025-3-28 18:10
Luc Arrondel,Frédérique Savignacautomated or semi-automated classification of NFR from requirements documents. This procedure reduces the manual work, time, and mental effort associated with identifying specific NFR from a large number of requirements. This research paper gives a brief description of the NFR and its categories the作者: 釘牢 時(shí)間: 2025-3-28 19:22 作者: 珠寶 時(shí)間: 2025-3-29 02:35
Cyclical Relationships Between GDP and Housing Market in France: Facts and Factors at Play作者: Leaven 時(shí)間: 2025-3-29 03:14
Does Housing Really Lead the Business Cycle in Spain?作者: 我吃花盤(pán)旋 時(shí)間: 2025-3-29 10:09
Common Business and Housing Market Cyles in the Euro Area from a Multivariate Decomposition作者: CHASM 時(shí)間: 2025-3-29 13:24
The International Transmission of House Price Shocks作者: 柱廊 時(shí)間: 2025-3-29 16:10 作者: NUL 時(shí)間: 2025-3-29 23:23
Trend and Cycle Features in German Residential Investment Before and After Reunification作者: Mindfulness 時(shí)間: 2025-3-30 00:18
User Costs of Housing when Households Face a Credit Constraint: Evidence for Germany作者: 滋養(yǎng) 時(shí)間: 2025-3-30 05:14
Causes and Welfare Consequences of Real Estate Price Appreciation作者: Hla461 時(shí)間: 2025-3-30 08:26 作者: debble 時(shí)間: 2025-3-30 16:20
An Assessment of Housing and Financial Wealth Effects in Spain: Aggregate Evidence on Durable and No作者: Extricate 時(shí)間: 2025-3-30 17:56 作者: commune 時(shí)間: 2025-3-30 23:41 作者: 江湖郎中 時(shí)間: 2025-3-31 04:45
https://doi.org/10.1007/978-3-642-15340-2Euro; Euro area; Housing Market; Real Estate; applied quantitative macroeconomics; business cycles; econom作者: 事情 時(shí)間: 2025-3-31 05:08
Olivier Bandt,Thomas Knetsch,Francesco ZollinoFirst book to address housing markets from a European perspective.Useful for understanding current crisis, for which housing markets have played a key role.Integrated analysis for major euro area coun
