Search Results - "Mülâyim, Mehmet Oğuz"

A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data by Cerquides, Jesus, Mülâyim, Mehmet Oğuz, Hernández-González, Jerónimo, Ravi Shankar, Amudha, Fernandez-Marquez, Jose Luis

“…Over the last decade, hundreds of thousands of volunteers have contributed to science by collecting or analyzing data. This public participation in science,…”
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Fast anytime retrieval with confidence in large-scale temporal case bases by Mülâyim, Mehmet Oğuz, Arcos, Josep Lluís

“…This work is about speeding up retrieval in Case-Based Reasoning (CBR) for large-scale case bases (CBs) comprised of temporally related cases in metric spaces…”
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A Citizen Science approach for analysing social media with crowdsourcing by Bono, Carlo, Mulayim, Mehmet Oguz, Cappiello, Cinzia, Carman, Mark, Cerquides, Jesus, Fernandez-Marquez, Jose Luis, Mondardini, Rosy, Ramalli, Edoardo, Pernici, Barbara

“…Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among the…”
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TriggerCit: Early Flood Alerting using Twitter and Geolocation -- a comparison with alternative sources by Bono, Carlo, Pernici, Barbara, Fernandez-Marquez, Jose Luis, Shankar, Amudha Ravi, Mülâyim, Mehmet Oğuz, Nemni, Edoardo

“…Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local…”
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Analyzing social media with crowdsourcing in Crowd4SDG by Bono, Carlo, Mülâyim, Mehmet Oğuz, Cappiello, Cinzia, Carman, Mark, Cerquides, Jesus, Fernandez-Marquez, Jose Luis, Mondardini, Rosy, Ramalli, Edoardo, Pernici, Barbara

“…Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among…”
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Crowdsourced geolocation: Detailed exploration of mathematical and computational modeling approaches by Ballester, Rocco, Labeyrie, Yanis, Mulayim, Mehmet Oguz, Fernandez-Marquez, Jose Luis, Cerquides, Jesus

“…In emergency situations, social media platforms produce a vast amount of real-time data that holds immense value, particularly in the first 72 h following a…”
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