Mitigating Class Imbalance in Network Intrusion Detection with Feature-Regularized GANs by Jing Li, Wei Zong, Yang-Wai Chow, Willy Susilo

“…These results demonstrate the effectiveness and practicality of SNNL as a general enhancement for GAN-based data augmentation in imbalanced NIDS tasks.…”
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netDx: interpretable patient classification using integrated patient similarity networks by Shraddha Pai, Shirley Hui, Ruth Isserlin, Muhammad A Shah, Hussam Kaka, Gary D Bader

“…A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. A clinical predictor based on genomic data needs to be interpretable to drive hypothesis‐driven research into new treatments. …”
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Leveraging unified multi-view hypergraph learning for neurodevelopmental disorders diagnosis by Xiangmin Han, Junchang Li

“…Additionally, visualizing the high-order associations learned from both branches reveals new insights into the pathogenic mechanisms of these disorders.ConclusionThe proposed method combines knowledge-driven and data-driven strategies for high-order brain network modeling, advancing the understanding of brain networks in neurodevelopmental diseases.…”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…This model integrates temporal, textual, and visual features from multimodal life log data (exercise type, duration, intensity) to classify and predict physical activity behaviors. …”
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Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024Keypoints by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

“…This is especially true for unstructured visual and textual data, which can contain invaluable insights into disease. …”
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Critical Reflections on Cinema Belgica: The Database for New Cinema History in Belgium by Vincent Ducatteeuw, Daniel Biltereyst, Philippe Meers, Christophe Verbruggen, Dries Moreels, Julia Noordegraaf, Sally Chambers, Pieterjan De Potter, Tamar Cachet, Nicolas Franck, Florian Deroo

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Hydrocarbon prospectivity of pinch-out zone of Jurassic deposits in Southwestern part of South Taimyr Monocline by I. S. Igonin, E. A. Zyza, I. Yu. Kuleshova, P. E. Zherzhova, A. V. Kiryanina, A. N. Bondarev

“…The study utilized CDP 2D seismic data, covering a total length of 7835 kilometers, as well as results from exploratory and appraisal drilling. …”
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Large Language Models for Transforming Healthcare: A Perspective on DeepSeek‐R1 by Jinsong Zhou, Yuhan Cheng, Sixu He, Yingcong Chen, Hao Chen

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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…This research paper aims to investigate the potential of advanced techniques for crop mapping using satellite data and qualitative information. These advanced approaches involve interpreting features in satellite images in conjunction with cartographic, statistical, and climate data. …”
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Complex interrelationships among respiratory diseases and chronic multimorbidity: a longitudinal network analysis and implications for future viral respiratory pandemic preparednes... by Daniel E. Zoughbie, Daniel E. Zoughbie, Kyongsik Yun

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Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

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Enhanced skin cancer diagnosis: a deep feature extraction-based framework for the multi-classification of skin cancer utilizing dermoscopy images by Hadeel Alharbi, Gabriel Avelino Sampedro, Roben A. Juanatas, Se-jung Lim

“…Further, it presents the hybrid models CNN-Support Vector Machine (CNNSVM), CNN-Random Forest (CNNRF), and CNN-Logistic Regression (CNNLR), using a grid search for the best parameters. Exploratory Data Analysis (EDA) and random oversampling are performed to normalize and balance the data. …”
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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…The dataset used in this study is the Data Set of Learning Style Preference. The separation of the dataset was made into three different forms of data sizes, including: Data I: 90% training, 10% testing; Data II: 80% training 20% testing; and Data III: 70% training 30% testing. …”
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Pathology of bone epiphyses and frequency of various damage degree cases in patients with rheumatoid arthritis complicated by knee joint frontal deformities by V. V. Hryhorovskyi, Ye. M. Avtomieienko

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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Extending these capabilities further, hyperspectral imaging combines spatial and spectral data to generate comprehensive chemical maps, enabling the simultaneous assessment of polymer composition and distribution. …”
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Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures by Jongmin Lim, Sehun Chang, Kwangsu Kim, Hee Jin Park, Eugene Kim, Seok Woo Hong

“…To promote interpretability and support clinical adoption, Gradient-weighted Class Activation Mapping (Grad-CAM) was employed to provide visual insights into the radiographic data. SHapley Additive exPlanations (SHAP) were utilized to elucidate the contributions of each clinical feature to the predictions of the model. …”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

“…Subsequently, various techniques are employed to pre-process the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). …”
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GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability by Yanjiao Song, Linyi Li, Yun Chen, Junjie Li, Zhe Wang, Zhen Zhang, Xi Wang, Wen Zhang, Lingkui Meng

“…Spatial and temporal data gaps present a significant challenge to high-frequency surface water mapping using satellite imagery. …”
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Assessing dynamic brain activity during verbal associative learning using MEG/fMRI co-processing by Sangeeta Nair, Jerzy P. Szaflarski, Yingying Wang, Diana Pizarro, Jeffrey F. Killen, Jane B. Allendorfer

“…Methods: 24 healthy participants were recruited to perform a paired-associate verbal learning task during fMRI and MEG scans. FMRI data were processed within Group ICA fMRI Toolbox. …”
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Quantification of Forest Regeneration on Forest Inventory Sample Plots Using Point Clouds from Personal Laser Scanning by Sarah Witzmann, Christoph Gollob, Ralf Kraßnitzer, Tim Ritter, Andreas Tockner, Lukas Moik, Valentin Sarkleti, Tobias Ofner-Graff, Helmut Schume, Arne Nothdurft

“…These findings highlight the potential of PLS data for automated forest regeneration quantification, which could be further expanded to include a broader range of data collected during LiDAR-based forest inventory campaigns.…”
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