Zeitschriftenartikel zum Thema „UserDriven Classification“
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Todeschini, R., und E. Marengo. „Linear discriminant classification tree: A user-driven multicriteria classification method“. Chemometrics and Intelligent Laboratory Systems 16, Nr. 1 (September 1992): 25–35. http://dx.doi.org/10.1016/0169-7439(92)80075-f.
Arvor, Damien, Julie Betbeder, Felipe R. G. Daher, Tim Blossier, Renan Le Roux, Samuel Corgne, Thomas Corpetti, Vinicius de Freitas Silgueiro und Carlos Antonio da Silva Junior. „Towards user-adaptive remote sensing: Knowledge-driven automatic classification of Sentinel-2 time series“. Remote Sensing of Environment 264 (Oktober 2021): 112615. http://dx.doi.org/10.1016/j.rse.2021.112615.
Bhukya, Raghuram. „Generalization Driven Fuzzy Classification Rules Extraction using OLAM Data Cubes“. International Journal of Engineering and Computer Science 9, Nr. 2 (28.02.2020): 24962–69. http://dx.doi.org/10.18535/ijecs/v9i2.4444.
Yamini, B., J. Sherine Glory und S. Aravindkumar. „Intelligence Driven-Depression Identification of Facebook Users“. Journal of Computational and Theoretical Nanoscience 17, Nr. 8 (01.08.2020): 3770–75. http://dx.doi.org/10.1166/jctn.2020.9318.
Malik, Sadaf, Nadia Kanwal, Mamoona Naveed Asghar, Mohammad Ali A. Sadiq, Irfan Karamat und Martin Fleury. „Data Driven Approach for Eye Disease Classification with Machine Learning“. Applied Sciences 9, Nr. 14 (11.07.2019): 2789. http://dx.doi.org/10.3390/app9142789.
Maggipinto, Marco, Elena Pesavento, Fabio Altinier, Giuliano Zambonin, Alessandro Beghi und Gian Antonio Susto. „Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors“. Energies 12, Nr. 21 (25.10.2019): 4080. http://dx.doi.org/10.3390/en12214080.
Bi, Jun, Ru Zhi, Dong-Fan Xie, Xiao-Mei Zhao und Jun Zhang. „Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification“. Journal of Advanced Transportation 2020 (09.03.2020): 1–11. http://dx.doi.org/10.1155/2020/4680959.
Liu, Weitao, Fuqing Wang, Hang Shi, Yan Zhang und Ruobo Chen. „Analysis of User Energy Consumption Patterns Based on Data Mining“. E3S Web of Conferences 213 (2020): 02040. http://dx.doi.org/10.1051/e3sconf/202021302040.
Seymour, Zakiya A., Eugene Cloete, Margaret McCurdy, Mira Olson und Joseph Hughes. „Understanding values of sanitation users: examining preferences and behaviors for sanitation systems“. Journal of Water, Sanitation and Hygiene for Development 11, Nr. 2 (11.01.2021): 195–207. http://dx.doi.org/10.2166/washdev.2021.119.
Hess, M. R., V. Petrovic und F. Kuester. „INTERACTIVE CLASSIFICATION OF CONSTRUCTION MATERIALS: FEEDBACK DRIVEN FRAMEWORK FOR ANNOTATION AND ANALYSIS OF 3D POINT CLOUDS“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (18.08.2017): 343–47. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-343-2017.
Suznjevic, Mirko, Lea Skorin-Kapov und Iztok Humar. „Statistical user behavior detection and QoE evaluation for thin client services“. Computer Science and Information Systems 12, Nr. 2 (2015): 587–605. http://dx.doi.org/10.2298/csis140810018s.
Kundra, Ritika, Hongxin Zhang, Robert Sheridan, Sahussapont Joseph Sirintrapun, Avery Wang, Angelica Ochoa, Manda Wilson et al. „OncoTree: A Cancer Classification System for Precision Oncology“. JCO Clinical Cancer Informatics, Nr. 5 (März 2021): 221–30. http://dx.doi.org/10.1200/cci.20.00108.
WROE, CHRIS, ROBERT STEVENS, CAROLE GOBLE, ANGUS ROBERTS und MARK GREENWOOD. „A SUITE OF DAML+OIL ONTOLOGIES TO DESCRIBE BIOINFORMATICS WEB SERVICES AND DATA“. International Journal of Cooperative Information Systems 12, Nr. 02 (Juni 2003): 197–224. http://dx.doi.org/10.1142/s0218843003000711.
Rajaram, Gangothri, und KR Manjula. „Exploiting the Potential of VGI Metadata to Develop A Data-Driven Framework for Predicting User’s Proficiency in OpenStreetMap Context“. ISPRS International Journal of Geo-Information 8, Nr. 11 (31.10.2019): 492. http://dx.doi.org/10.3390/ijgi8110492.
Cornelissen, Frans, Miroslav Cik und Emmanuel Gustin. „Phaedra, a Protocol-Driven System for Analysis and Validation of High-Content Imaging and Flow Cytometry“. Journal of Biomolecular Screening 17, Nr. 4 (10.01.2012): 496–506. http://dx.doi.org/10.1177/1087057111432885.
Cotter, Kelley, Mel Medeiros, Chankyung Pak und Kjerstin Thorson. „“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting“. Big Data & Society 8, Nr. 1 (Januar 2021): 205395172199604. http://dx.doi.org/10.1177/2053951721996046.
Hansen, Brandon, Cody Coleman, Yi Zhang und Maria Seale. „Text Classification and Tagging of United States Army Ground Vehicle Fault Descriptions in Support of Data-Driven Prognostics“. Annual Conference of the PHM Society 12, Nr. 1 (03.11.2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1154.
Konstantakis, Markos, Georgios Alexandridis und George Caridakis. „A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies“. Big Data and Cognitive Computing 4, Nr. 2 (04.06.2020): 12. http://dx.doi.org/10.3390/bdcc4020012.
Toader, Bogdan, Assaad Moawad, Thomas Hartmann und Francesco Viti. „A Data-Driven Scalable Method for Profiling and Dynamic Analysis of Shared Mobility Solutions“. Journal of Advanced Transportation 2021 (18.01.2021): 1–15. http://dx.doi.org/10.1155/2021/5943567.
Aguilera-Rueda, Vicente-Josué, Nicandro Cruz-Ramírez und Efrén Mezura-Montes. „Data-Driven Bayesian Network Learning: A Bi-Objective Approach to Address the Bias-Variance Decomposition“. Mathematical and Computational Applications 25, Nr. 2 (20.06.2020): 37. http://dx.doi.org/10.3390/mca25020037.
Villar, José R., Paula Vergara, Manuel Menéndez, Enrique de la Cal, Víctor M. González und Javier Sedano. „Generalized Models for the Classification of Abnormal Movements in Daily Life and its Applicability to Epilepsy Convulsion Recognition“. International Journal of Neural Systems 26, Nr. 06 (19.07.2016): 1650037. http://dx.doi.org/10.1142/s0129065716500374.
Jabla, Roua, Félix Buendía, Maha Khemaja und Sami Faiz. „Balancing Timing and Accuracy Requirements in Human Activity Recognition Mobile Applications“. Proceedings 31, Nr. 1 (20.11.2019): 15. http://dx.doi.org/10.3390/proceedings2019031015.
Siddiquee, Masudur R., Roozbeh Atri, J. Sebastian Marquez, S. M. Shafiul Hasan, Rodrigo Ramon und Ou Bai. „Sensor Location Optimization of Wireless Wearable fNIRS System for Cognitive Workload Monitoring Using a Data-Driven Approach for Improved Wearability“. Sensors 20, Nr. 18 (07.09.2020): 5082. http://dx.doi.org/10.3390/s20185082.
Zhao, Yan Ling, Chun Yu Che, Hong Bo Wang, Zi Yan Yun und Guan Hong Xu. „Application of Knowledge Based Engineering in Aeronautics Mold Parts Parametric Design“. Advanced Materials Research 765-767 (September 2013): 47–50. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.47.
Siddharth, Siddharth, und Mohan M. Trivedi. „On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights“. Brain Sciences 10, Nr. 1 (15.01.2020): 46. http://dx.doi.org/10.3390/brainsci10010046.
Dunai, Larisa, Martin Novak und Carmen García Espert. „Human Hand Anatomy-Based Prosthetic Hand“. Sensors 21, Nr. 1 (28.12.2020): 137. http://dx.doi.org/10.3390/s21010137.
Böhm, J., M. Bredif, T. Gierlinger, M. Krämer, R. Lindenberg, K. Liu, F. Michel und B. Sirmacek. „THE IQMULUS URBAN SHOWCASE: AUTOMATIC TREE CLASSIFICATION AND IDENTIFICATION IN HUGE MOBILE MAPPING POINT CLOUDS“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (09.06.2016): 301–7. http://dx.doi.org/10.5194/isprsarchives-xli-b3-301-2016.
Böhm, J., M. Bredif, T. Gierlinger, M. Krämer, R. Lindenberg, K. Liu, F. Michel und B. Sirmacek. „THE IQMULUS URBAN SHOWCASE: AUTOMATIC TREE CLASSIFICATION AND IDENTIFICATION IN HUGE MOBILE MAPPING POINT CLOUDS“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (09.06.2016): 301–7. http://dx.doi.org/10.5194/isprs-archives-xli-b3-301-2016.
Sharif, Mohammadreza. „Particle Filters vs Hidden Markov Models for Prosthetic Robot Hand Grasp Selection“. International Journal of Robotic Computing 1, Nr. 2 (01.12.2019): 98–122. http://dx.doi.org/10.35708/rc1868-126253.
Xiao, Mansheng, Yuezhong Wu, Guocai Zuo, Shuangnan Fan, Huijun Yu, Zeeshan Azmat Shaikh und Zhiqiang Wen. „Addressing Overfitting Problem in Deep Learning-Based Solutions for Next Generation Data-Driven Networks“. Wireless Communications and Mobile Computing 2021 (10.08.2021): 1–10. http://dx.doi.org/10.1155/2021/8493795.
Sevastjanova, Rita, Wolfgang Jentner, Fabian Sperrle, Rebecca Kehlbeck, Jürgen Bernard und Mennatallah El-assady. „QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling“. ACM Transactions on Interactive Intelligent Systems 11, Nr. 3-4 (31.12.2021): 1–38. http://dx.doi.org/10.1145/3429448.
Baek, Keon, Sehyun Kim, Eunjung Lee, Yongjun Cho und Jinho Kim. „Data-Driven Evaluation for Demand Flexibility of Segmented Electric Vehicle Chargers in the Korean Residential Sector“. Energies 14, Nr. 4 (07.02.2021): 866. http://dx.doi.org/10.3390/en14040866.
Cheng, Qi, Shuchun Wang und Xifeng Fang. „Intelligent design technology of automobile inspection tool based on 3D MBD model intelligent retrieval“. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, Nr. 10-11 (02.03.2021): 2917–27. http://dx.doi.org/10.1177/09544070211000174.
Gradolewski, Dawid, Damian Dziak, Damian Kaniecki, Adam Jaworski, Michal Skakuj und Wlodek J. Kulesza. „A Runway Safety System Based on Vertically Oriented Stereovision“. Sensors 21, Nr. 4 (20.02.2021): 1464. http://dx.doi.org/10.3390/s21041464.
Lakhanpal, Shailendra, Kailee Hawkins, Steven G. Dunder, Karri Donahue, Madeline Richey, Edward Liu, Alexandra Brachfeld et al. „An automated EHR-based tool to facilitate patient identification for biomarker-driven trials.“ Journal of Clinical Oncology 39, Nr. 15_suppl (20.05.2021): 1539. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.1539.
Maheshwari, Nishith, Srishti Srivastava und Krishnan Sundara Rajan. „Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension“. ISPRS International Journal of Geo-Information 8, Nr. 8 (27.07.2019): 333. http://dx.doi.org/10.3390/ijgi8080333.
Kog, Faikcan, und Hakan Yaman. „A multi-agent systems-based contractor pre-qualification model“. Engineering, Construction and Architectural Management 23, Nr. 6 (21.11.2016): 709–26. http://dx.doi.org/10.1108/ecam-01-2016-0013.
Kasapakis, Vlasios, und Damianos Gavalas. „Revisiting design guidelines for pervasive games“. International Journal of Pervasive Computing and Communications 13, Nr. 4 (06.11.2017): 386–407. http://dx.doi.org/10.1108/ijpcc-d-17-00007.
Ahmad, Naim, Noorulhasan Quadri, Mohamed Qureshi und Mohammad Alam. „Relationship Modeling of Critical Success Factors for Enhancing Sustainability and Performance in E-Learning“. Sustainability 10, Nr. 12 (14.12.2018): 4776. http://dx.doi.org/10.3390/su10124776.
Crocamo, Cristina, Marco Viviani, Francesco Bartoli, Giuseppe Carrà und Gabriella Pasi. „Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based Analysis“. International Journal of Environmental Research and Public Health 17, Nr. 5 (26.02.2020): 1510. http://dx.doi.org/10.3390/ijerph17051510.
Grant, Susan B. „Classifying emerging knowledge sharing practices and some insights into antecedents to social networking: a case in insurance“. Journal of Knowledge Management 20, Nr. 5 (12.09.2016): 898–917. http://dx.doi.org/10.1108/jkm-11-2015-0432.
Meiner, Andrus. „Integration of GIS and a dynamic spatially distributed model for non-point source pollution management“. Water Science and Technology 33, Nr. 4-5 (01.02.1996): 211–18. http://dx.doi.org/10.2166/wst.1996.0507.
Capdevila, Ignasi. „Joining a collaborative space: is it really a better place to work?“ Journal of Business Strategy 40, Nr. 2 (15.04.2019): 14–21. http://dx.doi.org/10.1108/jbs-09-2017-0140.
Irawan, Dasapta Erwin, Muhammad Aswan Syahputra, Prana Ugi und Deny Juanda Puradimaja. „Thermostats: an Open Source Shiny App for Your Open Data Repository“. JOIV : International Journal on Informatics Visualization 3, Nr. 2-2 (17.08.2019): 233. http://dx.doi.org/10.30630/joiv.3.2-2.282.
Han, Te, Dongxiang Jiang, Qi Zhao, Lei Wang und Kai Yin. „Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery“. Transactions of the Institute of Measurement and Control 40, Nr. 8 (01.06.2017): 2681–93. http://dx.doi.org/10.1177/0142331217708242.
Himeur, Yassine, Abdullah Alsalemi, Faycal Bensaali und Abbes Amira. „A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks“. Cognitive Computation 12, Nr. 6 (25.09.2020): 1381–401. http://dx.doi.org/10.1007/s12559-020-09764-y.
Athanas, Argus J., Jamison M. McCorrison, Susan Smalley, Jamie Price, Jim Grady, Julie Campistron und Nicholas J. Schork. „Association Between Improvement in Baseline Mood and Long-Term Use of a Mindfulness and Meditation App: Observational Study“. JMIR Mental Health 6, Nr. 5 (08.05.2019): e12617. http://dx.doi.org/10.2196/12617.
Thiesen, Stephanie, Paul Darscheid und Uwe Ehret. „Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory“. Hydrology and Earth System Sciences 23, Nr. 2 (19.02.2019): 1015–34. http://dx.doi.org/10.5194/hess-23-1015-2019.
Vogeler, Jody, Robert Slesak, Patrick Fekety und Michael Falkowski. „Characterizing over Four Decades of Forest Disturbance in Minnesota, USA“. Forests 11, Nr. 3 (24.03.2020): 362. http://dx.doi.org/10.3390/f11030362.
Chauhan, Swarup, Kathleen Sell, Wolfram Rühaak, Thorsten Wille und Ingo Sass. „CobWeb 1.0: machine learning toolbox for tomographic imaging“. Geoscientific Model Development 13, Nr. 1 (31.01.2020): 315–34. http://dx.doi.org/10.5194/gmd-13-315-2020.