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Interpretable Disease Classification in Plant Leaves using Deep Convolutional Neural Networks

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BFSp: A feature selection method for bug severity classification

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The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications

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Classification of ultrasonic signals of thermally aged cast austenitic stainless steel (CASS) using machine learning (ML) models

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An Intelligent Differential Protection Scheme for DC Microgrid

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A New Method for WebShell Detection Based on Bidirectional GRU and Attention Mechanism

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Classification of Cataract Disease with a DenseNet201 Based Deep Learning Model

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The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

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Learning experience assessment through players chat content in multiplayer online games

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Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data.

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Automated detection of stale beef from electronic nose data

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A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications

Shang, W., & Huang, X. S. (2025) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2025.3609877 · Cited by 33

Detection of Salient Crowd Motion Based on Repulsive Force Network and Direction Entropy

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Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery

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Machine Learning Based Bitcoin Address Classification

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Railway Overhead Contact System Point Cloud Classification

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Special Convolutional Neural Network for Identification and Positioning of Interstitial Lung Disease Patterns in Computed Tomography Images

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A deep learning framework for predicting burglaries based on multiple contextual factors

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Cervical Lesion Classification Method Based on Cross-Validation Decision Fusion Method of Vision Transformer and DenseNet

Li, P., Wang, X., Liu, P., Xu, T., Sun, P., Dong, B., & Xue, H. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/3241422 · Cited by 14

Fuzzy Gaussian Decision Tree

Pałczyński, K., Czyżewska, M., & Talaśka, T. (2023) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2022.115038 · Cited by 14

Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach

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Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines

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Orthosteric and benzodiazepine cavities of the α1β2γ2GABAAreceptor: insights from experimentally validatedin silicomethods

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Sparse VLSI Layout Feature Extraction: A Dictionary Learning Approach

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Deep learning for bridge load capacity estimation in post-disaster and -conflict zones

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A Transferable and Effective Method for Monitoring Continuous Cover Forestry at the Individual Tree Level Using UAVs

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Name Indexing in Indonesian Translation of Hadith using Named Entity Recognition with Naïve Bayes Classifier

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DT4I4-Secure: Digital Twin Framework for Industry 4.0 Systems Security

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Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach

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Bug severity prediction using LDA and sentiment scores: A CNN approach

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Predicting Renewable Curtailment in Distribution Grids Using Neural Networks

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Development of Hydroponic IoT-based Monitoring System and Automatic Nutrition Control using KNN

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Prior Segmentation and Attention Based Approach to Neoplasms Recognition by Single-Channel Monochrome Computer Tomography Snapshots

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Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction

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Hermes: Leveraging Implicit Inter-Frame Correlation for Bandwidth-Efficient Mobile Volumetric Video Streaming

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A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

Deshpande, N. M., Gite, S., Pradhan, B., Alamri, A. M., & Lee, C.-W. (2023) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.030704 · Cited by 13

GeospatRE: extraction and geocoding of spatial relation entities in textual documents

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KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health

Fu, C., Pan, X., Wu, J., Cai, J., Huang, Z., van Harmelen, F., Zhao, W., Jiang, X., & He, T. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3338356 · Cited by 13

scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data

Wang, S., Li, H., Zhang, K., Wu, H., Pang, S., Wu, W., Ye, L., Su, J., & Zhang, Y. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.12.043 · Cited by 11

Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques

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Developing an explainable rockburst risk prediction method using monitored microseismicity based on interpretable machine learning approach

Basnet, P. M. S., Jin, A., & Mahtab, S. (2024) · Acta Geophysica · doi:10.1007/s11600-024-01338-y · Cited by 13

Deep learning-based efficient diagnosis of periapical diseases with dental X-rays

Wang, K., Zhang, S., Wei, Z., Fang, X., Liu, F., Han, M., & Du, M. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105061 · Cited by 13

SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation

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Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis

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Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors

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A Contingency Table Derived Method for Analyzing Course Data

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Real-time continuous action detection and recognition using depth images and inertial signals

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Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images

Fang, H., Gong, L., Xu, Y. X., Zhuo, Y., Kong, W., Peng, C., & Yuan, J. (2020) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2020.11.024 · Cited by 13

Software Change Proneness Prediction Using Machine Learning

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Optimized Classification of Firewall Log Data using Heterogeneous Ensemble Techniques

Sharma, D., Wason, V., & Johri, P. (2021) · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · doi:10.1109/icacite51222.2021.9404732 · Cited by 13

MI_DenseNetCAM: A Novel Pan-Cancer Classification and Prediction Method Based on Mutual Information and Deep Learning Model

Wang, J., Dai, X., Luo, H., Yan, C., Zhang, G., & Luo, J. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.670232 · Cited by 16

Word synonym relationships for text analysis: A graph-based approach

Alrasheed, H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255127 · Cited by 13

Semantic Information Extraction of Energy Requirements from Contract Specifications: Dealing with Complex Extraction Tasks

Zhou, P., & El-Gohary, N. (2022) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0001008 · Cited by 13

PestDetector: A Deep Convolutional Neural Network to Detect Jute Pests

Karim, D. Z., Bushra, T. A., & Saif, M. M. (2022) · International Conference on Sustainable Technologies for Industry 5.0 (STI) · doi:10.1109/sti56238.2022.10103326 · Cited by 13

Application of wavelet transform in the classification of pollen grains

da Silva, D. S., Nara, L., Quinta, B., Gonçalves, A. B., Pistori, H., & Borth, M. R. (2014) · African Journal of Agricultural Research · doi:10.5897/ajar2013.7495 · Cited by 13

The welfare classification of Indonesian National Civil servant using TOPSIS and k-Nearest Neighbour (KNN)

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Gene selection of rat hepatocyte proliferation using adaptive sparse group lasso with weighted gene co-expression network analysis

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Mental Illness Disorder Diagnosis Using Emotion Variation Detection from Continuous English Speech

Lalitha, S., Gupta, D., Zakariah, M., & Alotaibi, Y. A. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2021.018406 · Cited by 13

Entropy‐assisted image segmentation for nano‐ and micro‐sized networks

Kim, D., Choi, J., & Nam, J. (2015) · Journal of Microscopy · doi:10.1111/jmi.12362 · Cited by 13

Benchmarking Non-Parametric Statistical Tests

Mikaela Keller, A., Samy Bengio, A., & Wong, S. Y. (2005) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 13

Relevance- and interface-driven clustering for visual information retrieval

Bouadjenek, M. R., Sanner, S., & Du, Y. (2020) · Information Systems · doi:10.1016/j.is.2020.101592 · Cited by 12

DLACEP: A Deep-Learning Based Framework for Approximate Complex Event Processing

Amir, A., Kolchinsky, I., & Schuster, A. (2022) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/3514221.3526136 · Cited by 12

Detecting Hate Speech and Offensive Language using Machine Learning in Published Online Content

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Ranking code clones to support maintenance activities

Ehsan, O., Khomh, F., Zou, Y., & Qiu, D. (2023) · Empirical Software Engineering · doi:10.1007/s10664-023-10292-0 · Cited by 12

Integrating domain knowledge and graph convolutional neural networks to support river network selection

Yu, H., Tinghua Ai, A., Yang, M. J., Li, J., Wang, L., Gao, A., Xiao, T., & Zhou, Z. S. (2023) · Transactions in GIS · doi:10.1111/tgis.13104 · Cited by 12

Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

Wang, F., Beladev, M., Kleinfeld, O., Frayerman, E., Shachar, T., Fainman, E., Assaraf, K. L., Mizrachi, S., & Wang, B. X. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-industry.10 · Cited by 14

Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse

Rauniyar, K., Poudel, S., Shiwakoti, S., Thapa, S., Rashid, J., Kim, J., Imran, M. A., & Naseem, U. (2023) · IEEE Access · doi:10.1109/access.2023.3342154 · Cited by 14

UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes

Karthigesu, J., Owari, T., Tsuyuki, S., & Hiroshima, T. (2023) · Sensors · doi:10.3390/s23249907 · Cited by 12

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data

Kukkonen, M., Lähivaara, T., & Packalén, P. (2023) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2023.3345745 · Cited by 12

Real-Time Point Cloud Clustering Algorithm Based on Roadside LiDAR

Wu, J., Zhuang, X., Tian, Y., Cheng, Z., & Liu, S. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3361509 · Cited by 12

Sandy desertification monitoring with the Relative Normalized Silica Index (RNSI) based on SDGSAT-1 thermal infrared image

Yang, W., Li, X., Shen, T., Kabo-bah, A. T., Cui, H., Dong, X., & Huang, L. (2024) · Remote Sensing of Environment · doi:10.1016/j.rse.2024.114177 · Cited by 12

DeepHYDRA: A Hybrid Deep Learning and DBSCAN-Based Approach to Time-Series Anomaly Detection in Dynamically-Configured Systems

Stehle, F. K., Vandelli, W., Zahn, F., Avolio, G., & Fröning, H. (2024) · International Conference on Supercomputing · doi:10.1145/3650200.3656637 · Cited by 12

Building a challenging medical dataset for comparative evaluation of classifier capabilities

Bozkurt, B., Coskun, K., & Bakal, G. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108721 · Cited by 12

Vocal repertoire and individuality in the plains zebra ( Equus quagga )

Xie, B., Daunay, V., Petersen, T. C., & Briefer, E. F. (2024) · Royal Society Open Science · doi:10.1098/rsos.240477 · Cited by 12

MSFN: a multi-omics stacked fusion network for breast cancer survival prediction

Zhang, G., Ma, C., Yan, C., Luo, H., Wang, J., Liang, W., & Luo, J. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1378809 · Cited by 12

Dual-Resolution Fusion Modeling for Unsupervised Cross-Resolution Person Re-Identification

Pang, Z., Zhao, L., & Wang, C. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681067 · Cited by 15

Spatiotemporal flood depth and velocity dynamics using a convolutional neural network within a sequential Deep-Learning framework

Fathi, M. M., Liu, Z., Fernandes, A. M., Hren, M. T., Terry, D. O., Nataraj, C., & Smith, V. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.106307 · Cited by 12

Comparative radiological impact of LOCA and RDD scenarios: An AI-enhanced assessment using HotSpot code

Maglas, N. N. M., Najar, M., Zhao, Q., Ali, M. M. M., AL-Osta, A., Alwarqi, M. S., Djebara, L., & Fadul, A. (2024) · Nuclear Engineering and Design · doi:10.1016/j.nucengdes.2024.113808 · Cited by 12

A Hybrid Chatbot Model for Enhancing Administrative Support in Education: Comparative Analysis, Integration, and Optimization

Mikael, K., Öz, C., Rashid, T. A., & Nariman, G. S. (2025) · IEEE Access · doi:10.1109/access.2025.3552501 · Cited by 21

Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification

Ren, S., Ghaffar, B., Mubbin, M., Haseeb, M., Tahir, Z., Hassan, S. S., Kucher, D. E., Дмитриевна, К. О., & Abdullah-Al-Wadud, M. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3554793 · Cited by 12

Genetically programmable optical random neural networks

Çarpınlıoğlu, B., & Teğin, U. (2025) · Communications Physics · doi:10.1038/s42005-025-02255-2 · Cited by 14

Segmentation of Activated Sludge Phase Contrast Microscopy Images Using U-Net Deep Learning Model

Zhao, L., Zou, S.-D., Zhang, Y., Huang, M.-Z., Zuo, Y., Wang, J., Lu, X.-K., Wu, Z., & Liu, X. (2019) · Sensors and Materials · doi:10.18494/sam.2019.2406 · Cited by 12

An Adaptive Spatial Resolution Method Based on the ST-ResNet Model for Hourly Property Crime Prediction

Zhang, H., Zhang, J., Wang, Z., & Yin, H. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10050314 · Cited by 12

The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students’ Collaborative Dialogue

Ma, Y., Wiggins, J. B., Celepkolu, M., Boyer, K. E., Lynch, C. F., & Wiebe, E. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78292-4_22 · Cited by 12

Comparative Study of Covid-19 Tweets Sentiment Classification Methods

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