Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey by Taojie Kuang, Pengfei Liu, Zhixiang Ren

“…Additionally, we discover that, as measured by ROC-AUC, augmenting 2D graphs with 3D information improves performance for classification tasks by up to 13.2% and enriching 2D graphs with 1D SMILES boosts multi-modal learning performance for regression tasks by up to 9.1%. …”
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Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images by Arezoo Borji, Taha-Hossein Hejazi, Abbas Seifi

“…The classification results show that using deep-learning models to tell the difference between MCI patients gives an overall average accuracy of 93.13% and an Area Under the Curve (AUC)  of 94.4%.…”
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Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

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Exploring Task-Related EEG for Cross-Subject Early Alzheimer’s Disease Susceptibility Prediction in Middle-Aged Adults Using Multitaper Spectral Analysis by Ziyang Li, Hong Wang, Jianing Song, Jiale Gong

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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

“…The results demonstrate a classification accuracy of 97.13%, 90.31% and 83.59% with ResNet-18, VGG-19 and AlexNet, respectively. …”
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network by Qingguo Wei, Chang Li, Yijun Wang, Xiaorong Gao

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Consensus on the Definition of Advanced Parkinson’s Disease: A Neurologists-Based Delphi Study (CEPA Study) by Maria-Rosario Luquin, Jaime Kulisevsky, Pablo Martinez-Martin, Pablo Mir, Eduardo S. Tolosa

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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The study used classification models generated using Waikato Environment for Knowledge Analysis (WEKA). …”
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Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

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Improved HFACS on Human Factors of Construction Accidents: A China Perspective by Gui Ye, Qin Tan, Xiaoli Gong, Qingting Xiang, Yuhe Wang, Qinjun Liu

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Multimodal Assessment of Mental Workload During Automated Vehicle Remote Assistance: Modeling of Eye-Tracking-Related, Skin Conductance, and Cardiovascular Indicators by Fabian Walocha, Andreas Schrank, Hoai Phuong Nguyen, Klas Ihme

“…The results provide evidence that (A) elevated workload induced via a secondary task depreciates performance, and (B) we can identify workload levels person-independently as differences in tonic skin conductance (F(2,72) = 24.538, <i>p</i> < 0.001, partial η² = 0.405) and pupil dilation (F(2,72) = 13.872, <i>p</i> < 0.001, partial η² = 0.278), resulting in a classification accuracy of 58% in a three-class classification task. …”
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Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

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Max Weber's concept of feudalism and history of Lithuania by Zenonas Norkus

“… The article contains an attempt at classification of the theories of feudalism, an exposition of Max Weber's later theory of feudalism and a discussion of the question of its applicability to the history of Lithuania in the 13th-17th centuries. …”
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Compressing fully connected layers of deep neural networks using permuted features by Dara Nagaraju, Nitin Chandrachoodan

“…The authors also showed that the proposed method can be used in the classification stage of the transfer learning networks.…”
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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

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Enhancing Spam Filtering: A Comparative Study of Modern Advanced Machine Learning Techniques by Zhang Chenwei

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A Malware Detection Scheme Based on Mining Format Information by Jinrong Bai, Junfeng Wang, Guozhong Zou

“…When the selected features were trained using classification algorithms, the results of our experiments indicate that the accuracy of the top classification algorithm is 99.1% and the value of the AUC is 0.998. …”
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Multifractal Framework Based on Blanket Method by Milorad P. Paskaš, Irini S. Reljin, Branimir D. Reljin

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Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach by Noah Oghenefego Ogwara, Krassie Petrova, Mee Loong Yang

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4G network capacity expansion system based on service perception by Limin TANG, Deping XU, Ritao CHENG

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