ABSTRACT During a crisis (for example, earthquakes, demonstrations, and shootings), many social media users share timely updates that can help improve situational awareness. This has motivated researchers from multiple emergency-related fields to study the behavior of information propagation online. Most studies conducted so far have focused on the characterization and detection of crises through social…
Nos complace anunciar que EDBT/ICDT volverá a ser una conferencia presencial. Esperamos con entusiasmo recibir a la comunidad de bases de datos en Ioannina después de 3 años de eventos EDBT/ICDT en línea. La conferencia se realizará en modalidad híbrida, de modo que los participantes con restricciones de viaje también tendrán la oportunidad de asistir….
REASONING WEB SCHOOL 2022 in collaboration with “Declarative AI 2022” brings together the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), DecisionCAMP 2022, and the 18th Reasoning Web Summer School (RW 2022). It will take place virtually from September 26 to 30, 2022. Under its general theme “Declarative AI”, the event aims to…
ABSTRACT The Joint Workshop on Interfaces and Human Decision Making for Recommender Systems will be held at RecSys 2022 in Seattle, WA, USA, 18th-23rd September 2022. Recommender systems are developed to help users in finding items that match their interests, needs, and preferences. Since the emergence of recommender systems, most of the research in this…
SUMMARY We invite you to an in-person discussion panel on the future challenges of electoral polling in a context of compulsory voting. SPEAKERS Carolina Segovia, Associate Professor UDP-COES. Paulina Valenzuela, Managing Partner Datavoz. José Cabezas, Assistant Professor CIS U. Mayor. Sergio Toro, Director of the School of Government and Public Administration, U. Mayor. WHEN…
Professor Juan Reutter, Head of the DCC UC doctoral program, will present on the doctoral program and the research centers associated with the Department of Computer Science. To attend, you can do so in person: Sala Javier Pinto, Edificio San Agustín, 4th floor, Wednesday, September 14 at 3:30 p.m. Remote: https://bit.ly/FeriaPostgradoJR
ABSTRACT The data society we live in offers unprecedented opportunities to exploit available data. The goal of data mining is precisely to extract useful information from available data and assist in e.g., decision-making or event-prediction. In doing so, available data usually contain sensitive information about individuals, and releasing even aggregate information about a set of…
ABSTRACT The power of Graph Neural Networks (GNNs) is commonly measured in terms of their ability to separate graphs: a GNN is more powerful when it can recognize more graphs as being different. Studying this metric in GNNs helps in understanding the limitations of GNNs for graph learning tasks, but there are few general techniques…
SUMMARY The National Meeting of Mathematical Engineering began as an annual event driven by UC, in collaboration with all universities in Chile offering the Mathematical Engineering program. Each year, host universities take turns organizing the event, but it was interrupted in 2020 and 2021. Its sixth edition is being held again this year, 2022, at…
ABSTRACT Chileans will soon vote in a plebiscite to approve or reject a new draft Constitution. We contribute to the debate by presenting different perspectives from academic experts, both Chilean and international, on the strengths and weaknesses of the new legal framework represented in the draft of the new Constitution. This event is part of…
SUMMARY Graph-based learning is an emerging area of machine learning that facilitates building models based on structured information. This talk will present some methods and case studies from this area applied to different graph learning problems within the national context. Among the problems addressed, results will be shown in surname network analysis, bot detection, and…
Abstract. “El estado del arte en el procesamiento de consultas en bases de datos se ha visto recientemente sacudido por una nueva generación de algoritmos de procesamiento de multi-joins con fuertes garantías de optimalidad basadas en la cota AGM de las consultas: el tamaño máximo de la salida de la consulta sobre todas las relaciones…
SUMMARY Web Conference «Generative Deep Learning Models for Creativity» This outreach activity is part of the Academic Outreach Project titled «Digitalization and virtualization of the creative process in contemporary artistic performances» led by Dr. Esteban Cárdenas Pérez and sponsored by the Vice-Rectorate for Institutional Relations and Community Engagement (VRIM) of the Universidad de Concepción. PRESENTED…
SUMMARY Analysis of the impact of gender parity on the Chilean constitutional process. The United Nations Development Programme (UNDP) and the Telar Platform of the Millennium Institute for Foundational Research on Data (IMFD) invite you to the presentation of two studies analyzing the impact of gender parity at different stages of the constitutional process. WELCOME…
SUMMARY In several computer science applications one encounters the following problem: Given two edge-labeled graphs G and H, how many homomorphic images of H can be found in G? Atserias, Grohe, and Marx developed a tight bound for this number, denoted #Hom(H,G), which is now known as the AGM bound. The bound relates #Hom(H,G) with…