Articoli di riviste sul tema "UserDriven Classification"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 articoli di riviste per l'attività di ricerca sul tema "UserDriven Classification".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
Todeschini, R., e E. Marengo. "Linear discriminant classification tree: A user-driven multicriteria classification method". Chemometrics and Intelligent Laboratory Systems 16, n. 1 (settembre 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 e Carlos Antonio da Silva Junior. "Towards user-adaptive remote sensing: Knowledge-driven automatic classification of Sentinel-2 time series". Remote Sensing of Environment 264 (ottobre 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, n. 2 (28 febbraio 2020): 24962–69. http://dx.doi.org/10.18535/ijecs/v9i2.4444.
Yamini, B., J. Sherine Glory e S. Aravindkumar. "Intelligence Driven-Depression Identification of Facebook Users". Journal of Computational and Theoretical Nanoscience 17, n. 8 (1 agosto 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 e Martin Fleury. "Data Driven Approach for Eye Disease Classification with Machine Learning". Applied Sciences 9, n. 14 (11 luglio 2019): 2789. http://dx.doi.org/10.3390/app9142789.
Maggipinto, Marco, Elena Pesavento, Fabio Altinier, Giuliano Zambonin, Alessandro Beghi e Gian Antonio Susto. "Laundry Fabric Classification in Vertical Axis Washing Machines Using Data-Driven Soft Sensors". Energies 12, n. 21 (25 ottobre 2019): 4080. http://dx.doi.org/10.3390/en12214080.
Bi, Jun, Ru Zhi, Dong-Fan Xie, Xiao-Mei Zhao e Jun Zhang. "Capturing the Characteristics of Car-Sharing Users: Data-Driven Analysis and Prediction Based on Classification". Journal of Advanced Transportation 2020 (9 marzo 2020): 1–11. http://dx.doi.org/10.1155/2020/4680959.
Liu, Weitao, Fuqing Wang, Hang Shi, Yan Zhang e 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 e Joseph Hughes. "Understanding values of sanitation users: examining preferences and behaviors for sanitation systems". Journal of Water, Sanitation and Hygiene for Development 11, n. 2 (11 gennaio 2021): 195–207. http://dx.doi.org/10.2166/washdev.2021.119.
Hess, M. R., V. Petrovic e 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 agosto 2017): 343–47. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-343-2017.
Suznjevic, Mirko, Lea Skorin-Kapov e Iztok Humar. "Statistical user behavior detection and QoE evaluation for thin client services". Computer Science and Information Systems 12, n. 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, n. 5 (marzo 2021): 221–30. http://dx.doi.org/10.1200/cci.20.00108.
WROE, CHRIS, ROBERT STEVENS, CAROLE GOBLE, ANGUS ROBERTS e MARK GREENWOOD. "A SUITE OF DAML+OIL ONTOLOGIES TO DESCRIBE BIOINFORMATICS WEB SERVICES AND DATA". International Journal of Cooperative Information Systems 12, n. 02 (giugno 2003): 197–224. http://dx.doi.org/10.1142/s0218843003000711.
Rajaram, Gangothri, e 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, n. 11 (31 ottobre 2019): 492. http://dx.doi.org/10.3390/ijgi8110492.
Cornelissen, Frans, Miroslav Cik e Emmanuel Gustin. "Phaedra, a Protocol-Driven System for Analysis and Validation of High-Content Imaging and Flow Cytometry". Journal of Biomolecular Screening 17, n. 4 (10 gennaio 2012): 496–506. http://dx.doi.org/10.1177/1087057111432885.
Cotter, Kelley, Mel Medeiros, Chankyung Pak e Kjerstin Thorson. "“Reach the right people”: The politics of “interests” in Facebook’s classification system for ad targeting". Big Data & Society 8, n. 1 (gennaio 2021): 205395172199604. http://dx.doi.org/10.1177/2053951721996046.
Hansen, Brandon, Cody Coleman, Yi Zhang e 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, n. 1 (3 novembre 2020): 8. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1154.
Konstantakis, Markos, Georgios Alexandridis e George Caridakis. "A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies". Big Data and Cognitive Computing 4, n. 2 (4 giugno 2020): 12. http://dx.doi.org/10.3390/bdcc4020012.
Toader, Bogdan, Assaad Moawad, Thomas Hartmann e Francesco Viti. "A Data-Driven Scalable Method for Profiling and Dynamic Analysis of Shared Mobility Solutions". Journal of Advanced Transportation 2021 (18 gennaio 2021): 1–15. http://dx.doi.org/10.1155/2021/5943567.
Aguilera-Rueda, Vicente-Josué, Nicandro Cruz-Ramírez e Efrén Mezura-Montes. "Data-Driven Bayesian Network Learning: A Bi-Objective Approach to Address the Bias-Variance Decomposition". Mathematical and Computational Applications 25, n. 2 (20 giugno 2020): 37. http://dx.doi.org/10.3390/mca25020037.
Villar, José R., Paula Vergara, Manuel Menéndez, Enrique de la Cal, Víctor M. González e 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, n. 06 (19 luglio 2016): 1650037. http://dx.doi.org/10.1142/s0129065716500374.
Jabla, Roua, Félix Buendía, Maha Khemaja e Sami Faiz. "Balancing Timing and Accuracy Requirements in Human Activity Recognition Mobile Applications". Proceedings 31, n. 1 (20 novembre 2019): 15. http://dx.doi.org/10.3390/proceedings2019031015.
Siddiquee, Masudur R., Roozbeh Atri, J. Sebastian Marquez, S. M. Shafiul Hasan, Rodrigo Ramon e Ou Bai. "Sensor Location Optimization of Wireless Wearable fNIRS System for Cognitive Workload Monitoring Using a Data-Driven Approach for Improved Wearability". Sensors 20, n. 18 (7 settembre 2020): 5082. http://dx.doi.org/10.3390/s20185082.
Zhao, Yan Ling, Chun Yu Che, Hong Bo Wang, Zi Yan Yun e Guan Hong Xu. "Application of Knowledge Based Engineering in Aeronautics Mold Parts Parametric Design". Advanced Materials Research 765-767 (settembre 2013): 47–50. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.47.
Siddharth, Siddharth, e Mohan M. Trivedi. "On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights". Brain Sciences 10, n. 1 (15 gennaio 2020): 46. http://dx.doi.org/10.3390/brainsci10010046.
Dunai, Larisa, Martin Novak e Carmen García Espert. "Human Hand Anatomy-Based Prosthetic Hand". Sensors 21, n. 1 (28 dicembre 2020): 137. http://dx.doi.org/10.3390/s21010137.
Böhm, J., M. Bredif, T. Gierlinger, M. Krämer, R. Lindenberg, K. Liu, F. Michel e 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 (9 giugno 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 e 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 (9 giugno 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, n. 2 (1 dicembre 2019): 98–122. http://dx.doi.org/10.35708/rc1868-126253.
Xiao, Mansheng, Yuezhong Wu, Guocai Zuo, Shuangnan Fan, Huijun Yu, Zeeshan Azmat Shaikh e Zhiqiang Wen. "Addressing Overfitting Problem in Deep Learning-Based Solutions for Next Generation Data-Driven Networks". Wireless Communications and Mobile Computing 2021 (10 agosto 2021): 1–10. http://dx.doi.org/10.1155/2021/8493795.
Sevastjanova, Rita, Wolfgang Jentner, Fabian Sperrle, Rebecca Kehlbeck, Jürgen Bernard e Mennatallah El-assady. "QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling". ACM Transactions on Interactive Intelligent Systems 11, n. 3-4 (31 dicembre 2021): 1–38. http://dx.doi.org/10.1145/3429448.
Baek, Keon, Sehyun Kim, Eunjung Lee, Yongjun Cho e Jinho Kim. "Data-Driven Evaluation for Demand Flexibility of Segmented Electric Vehicle Chargers in the Korean Residential Sector". Energies 14, n. 4 (7 febbraio 2021): 866. http://dx.doi.org/10.3390/en14040866.
Cheng, Qi, Shuchun Wang e 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, n. 10-11 (2 marzo 2021): 2917–27. http://dx.doi.org/10.1177/09544070211000174.
Gradolewski, Dawid, Damian Dziak, Damian Kaniecki, Adam Jaworski, Michal Skakuj e Wlodek J. Kulesza. "A Runway Safety System Based on Vertically Oriented Stereovision". Sensors 21, n. 4 (20 febbraio 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, n. 15_suppl (20 maggio 2021): 1539. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.1539.
Maheshwari, Nishith, Srishti Srivastava e Krishnan Sundara Rajan. "Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension". ISPRS International Journal of Geo-Information 8, n. 8 (27 luglio 2019): 333. http://dx.doi.org/10.3390/ijgi8080333.
Kog, Faikcan, e Hakan Yaman. "A multi-agent systems-based contractor pre-qualification model". Engineering, Construction and Architectural Management 23, n. 6 (21 novembre 2016): 709–26. http://dx.doi.org/10.1108/ecam-01-2016-0013.
Kasapakis, Vlasios, e Damianos Gavalas. "Revisiting design guidelines for pervasive games". International Journal of Pervasive Computing and Communications 13, n. 4 (6 novembre 2017): 386–407. http://dx.doi.org/10.1108/ijpcc-d-17-00007.
Ahmad, Naim, Noorulhasan Quadri, Mohamed Qureshi e Mohammad Alam. "Relationship Modeling of Critical Success Factors for Enhancing Sustainability and Performance in E-Learning". Sustainability 10, n. 12 (14 dicembre 2018): 4776. http://dx.doi.org/10.3390/su10124776.
Crocamo, Cristina, Marco Viviani, Francesco Bartoli, Giuseppe Carrà e 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, n. 5 (26 febbraio 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, n. 5 (12 settembre 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, n. 4-5 (1 febbraio 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, n. 2 (15 aprile 2019): 14–21. http://dx.doi.org/10.1108/jbs-09-2017-0140.
Irawan, Dasapta Erwin, Muhammad Aswan Syahputra, Prana Ugi e Deny Juanda Puradimaja. "Thermostats: an Open Source Shiny App for Your Open Data Repository". JOIV : International Journal on Informatics Visualization 3, n. 2-2 (17 agosto 2019): 233. http://dx.doi.org/10.30630/joiv.3.2-2.282.
Han, Te, Dongxiang Jiang, Qi Zhao, Lei Wang e 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, n. 8 (1 giugno 2017): 2681–93. http://dx.doi.org/10.1177/0142331217708242.
Himeur, Yassine, Abdullah Alsalemi, Faycal Bensaali e Abbes Amira. "A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks". Cognitive Computation 12, n. 6 (25 settembre 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 e 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, n. 5 (8 maggio 2019): e12617. http://dx.doi.org/10.2196/12617.
Thiesen, Stephanie, Paul Darscheid e Uwe Ehret. "Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory". Hydrology and Earth System Sciences 23, n. 2 (19 febbraio 2019): 1015–34. http://dx.doi.org/10.5194/hess-23-1015-2019.
Vogeler, Jody, Robert Slesak, Patrick Fekety e Michael Falkowski. "Characterizing over Four Decades of Forest Disturbance in Minnesota, USA". Forests 11, n. 3 (24 marzo 2020): 362. http://dx.doi.org/10.3390/f11030362.
Chauhan, Swarup, Kathleen Sell, Wolfram Rühaak, Thorsten Wille e Ingo Sass. "CobWeb 1.0: machine learning toolbox for tomographic imaging". Geoscientific Model Development 13, n. 1 (31 gennaio 2020): 315–34. http://dx.doi.org/10.5194/gmd-13-315-2020.