Titlebook: Intelligent Information Processing XII; 13th IFIP TC 12 Inte Zhongzhi Shi,Jim Torresen,Shengxiang Yang Conference proceedings 2024 IFIP Int

唠叨

Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Seriesg space. The constructed boundary space, formed by the reciprocal time series, facilitates the effective learning of inherent generalization features from a large number of unknown samples through multi-class interaction, ultimately reducing the open-set risk. Extensive experiments on three public s

解冻

A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in hod. Comparative experiments have been conducted between ConceptLIME and LIME to validate the effectiveness of ConceptLIME. The experimental results indicate that ConceptLIME outperforms LIME regarding predictive performance on both the perturbation dataset and the explained instances. Moreover, the

依法逮捕

enflame

Hand Gesture Recognition Using a Multi-modal Deep Neural Network inputs, i.e., video and time-series inputs, to improve accuracy. The performances of the baseline models are then compared to the multimodal classifier. Since the multimodal classifier is based on the initial models, it naturally inherits the benefits of both baseline architectures and provides a h

绅士

en ist auf Grund von geringen Patientenzahlen für die großen Unternehmen wirtschaftlich nicht attraktiv. Partnerschaften mit Großunternehmen, Biotechfirmen und gleichen Partnern können dem Mittelstand helfen, sich seine Nischen noch besser einzurichten. Wie weit er für diese Politik geeignet ist, ka

服从

变化

镶嵌细工

Saneet Fulsunder,Saidu Umar,Aboozar Taherkhani,Chang Liu,Shengxiang Yang Mitbestimmung abhängige Variable herangezogen. Das Investitionsverhalten umfasst neben dem Aspekt des Zeithorizonts der Unternehmensstrategie auch die Frage, inwiefern die Unternehmensstruktur von den institutionellen Bedingungen eines Produktionsregimes beeinflusst wird.

云状

喃喃而言

Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysisype-weighted matrix to combine the dependency-type message, and DTW-GCN could fuse the dependency-type message and word embedding vectors. Experiments conducted on three benchmark datasets verify the effectiveness of our model.