{"id":1287,"date":"2026-06-10T13:05:22","date_gmt":"2026-06-10T11:05:22","guid":{"rendered":"https:\/\/caos.uc3m.es\/machine-learning\/"},"modified":"2026-07-24T12:36:14","modified_gmt":"2026-07-24T10:36:14","slug":"machine-learning","status":"publish","type":"page","link":"https:\/\/caos.uc3m.es\/en\/machine-learning\/","title":{"rendered":"Machine Learning"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;rgba(0,0,0,0.5) 0%|rgba(0,0,0,0.5) 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_image=&#8221;https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10122538\/wastedgeneration-technology-8280863-scaled.jpg&#8221; parallax=&#8221;on&#8221; custom_padding=&#8221;8%||8%||true|false&#8221; locked=&#8221;off&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; max_width=&#8221;2000px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.24.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;3e403966-82a0-43fb-a22a-152a8e6782d1&#8243; header_text_color=&#8221;#FFFFFF&#8221; text_orientation=&#8221;center&#8221; custom_margin=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Machine Learning<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;111.2px&#8221; custom_margin=&#8221;||||true|false&#8221; custom_padding=&#8221;4%||0%||false|false&#8221; animation_style=&#8221;fade&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; text_orientation=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: center\">Machine Learning is the analytical engine behind CAOS. We develop algorithms that enable computers to identify hidden patterns and learn from experience without being explicitly programmed. Specializing in intelligent data analysis, we create highly robust predictive models capable of operating in industrial environments with high levels of uncertainty. Examples of this include Multiple Classification Systems (Ensembles) and Time Series Analysis and Forecasting.   <\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; animation_style=&#8221;fade&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_team_member name=&#8221;Predicci\u00f3n de Series Temporales&#8221; image_url=&#8221;https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10125654\/linea_ml_1.jpg&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; body_font_size=&#8221;16px&#8221; text_orientation=&#8221;center&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii_image=&#8221;on|10px|10px|10px|10px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: center\">Using Neural Networks to Predict Financial Market Behavior and Energy Demand.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_team_member name=&#8221;Reconocimiento de Patrones&#8221; image_url=&#8221;https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10125715\/linea_ml_2.jpg&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; body_font_size=&#8221;16px&#8221; text_orientation=&#8221;center&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii_image=&#8221;on|10px|10px|10px|10px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Classification algorithms for identifying human behavior and complex operational flows.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_team_member name=&#8221;Conjuntos de Clasificadores&#8221; image_url=&#8221;https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/148\/2026\/06\/10125733\/linea_ml_3.jpg&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; header_level=&#8221;h3&#8243; body_font_size=&#8221;16px&#8221; text_orientation=&#8221;center&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii_image=&#8221;on|10px|10px|10px|10px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Combining multiple learning models to maximize the accuracy of data diagnosis.<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; animation_style=&#8221;fade&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;146e9892-5ebe-49d4-9f9c-ea008646cce3&#8243; custom_margin=&#8221;||10px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 style=\"text-align: center\">Laboratory Milestones<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; custom_margin=&#8221;2%||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify\"><strong>Multiple Classification Systems (Ensembles)<\/strong>: Much of their success in computer vision and prediction is based on not using a single algorithm, but rather on training multiple algorithmic \u201cexperts\u201d that vote to reach a final decision (such as Random Forests or Boosting). This drastically reduces false positives. <\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; custom_margin=&#8221;2%||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify\"><strong>Time Series Analysis and Forecasting<\/strong>: Neural networks are used to predict future behavior based on historical data. This technology has been applied in businesses to forecast product demand, anticipate industrial machinery failures (predictive maintenance), or detect financial anomalies. <\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; custom_margin=&#8221;2%||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify\"><strong>Intelligent Decision-Support Systems<\/strong>: Technological solutions based on autonomous artificial intelligence agents that analyze vehicle, environmental, and physiological data\u2014among others\u2014in real time. These systems assist human drivers and autonomous vehicles with navigation, hazard avoidance, and route calculation, which ultimately optimizes traffic flow and improves safety. <\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;18px&#8221; custom_margin=&#8221;2%||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify\"><strong>Strategic Consortia<\/strong>: Our group has been a key player in programs such as RedAF (Spanish Thematic Network on Agent Technology and Multi-Agent Systems), an open network of researchers that serves as a forum for communication on research, innovation, and technology transfer in the field of physical agents, encompassing areas such as embedded systems, artificial intelligence, mobile robotics, home automation, and ubiquitous systems.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||||false|false&#8221; animation_style=&#8221;fade&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;146e9892-5ebe-49d4-9f9c-ea008646cce3&#8243; text_font=&#8221;Shippori Mincho|700|||||||&#8221; text_text_color=&#8221;#333333&#8243; text_font_size=&#8221;25px&#8221; text_line_height=&#8221;1.3em&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: center\">\u00abAt times, the only way to be right is to be wrong.\u00bb<br \/>\u2013 Jos\u00e9 Bergam\u00edn \u2013<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine LearningMachine Learning is the analytical engine behind CAOS. We develop algorithms that enable computers to identify hidden patterns and learn from experience without being explicitly programmed. Specializing in intelligent data analysis, we create highly robust predictive models capable of operating in industrial environments with high levels of uncertainty. Examples of this include Multiple Classification [&hellip;]<\/p>\n","protected":false},"author":451,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-1287","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages\/1287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/users\/451"}],"replies":[{"embeddable":true,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/comments?post=1287"}],"version-history":[{"count":1,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages\/1287\/revisions"}],"predecessor-version":[{"id":1290,"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/pages\/1287\/revisions\/1290"}],"wp:attachment":[{"href":"https:\/\/caos.uc3m.es\/en\/wp-json\/wp\/v2\/media?parent=1287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}