Facebook research being presented at KDD 2020. Maryam Tabar, Stephanie Winkler, Dongwon Lee, Amulya Yadav, Pennsylvania State University; Heesoo Park, Sungkyunkwan University; Anamika Barman-Adhikari, University of Denver Accepted submissions will be presented at the workshop The authors aim to fill this gap by making the following three contributions: (i) they use a real-world dataset collected from 1,400 homeless youth (across six American states) to build accurate Machine Learning (ML) models for predicting the susceptibility of homeless youth to SUD; (ii) they find a representative set of factors associated with SUD among this population by analyzing feature importance values associated with their ML models; and (iii) they investigate the effect of geographical heterogeneity on the factors associated with SUD. Big and small stories surrounding a police station in Berlin-Kreuzberg. Work fast with our official CLI. ormond@hq.acm.org, Advancing Computing as a Science & Profession, Software and Data Artifacts in the ACM Digital Library, Virtual Conferences: A Guide to Best Practices, Chapter-in-a-Box: Everything You Need to Run and Grow Your ACM Chapter, Munmun De Choudhury Receives ACM-W Rising Star Award, Agent-Human Collaboration and Learning for Improving Human Satisfaction, Reproducing 150 Research Papers and Testing Them in the Real World: Challenges and Solutions, ACM Europe TPC Comments on UK National Data Strategy, USTPC Urges Narrower Definition of Computer Fraud and Abuse Act, ACM Celebrates US #BlackHistoryMonth 2021, ACM Diversity and Inclusion Council Co-chairs, KDD 2020 Showcases Brightest Minds in Data Science and AI, ACM Special Interest Group for Knowledge Discovery from Data (SIGKDD), ACM, the Association for Computing Machinery. Veloso will offer concrete examples of projects, and conclude with the many challenges and opportunities that AI can offer in the financial domain. "As a longtime member of ACM SIGKDD, I am always incredibly impressed by the contributions of our volunteers," said Zeller. A partial listing of highlights follows. An optimization framework was proposed to address the studied adversarial attacks. Walid Krichene, Steffen Rendle, Google Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University. 1 branch 0 tags. In addition to the regular workshop, we will also host a data challenge track with two shared tasks for fake review detection in an adversarial framework and fake news detection (details will be announced soon). Anyone, from any background, should feel encouraged to participate and contribute to ACM. In this paper, the authors describe their journey in tackling the problem of diversity for Airbnb search, starting from heuristic based approaches and concluding with a novel deep learning solution that produces an embedding of the entire query context by leveraging Recurrent Neural Networks (RNNs). This year, we have a roster of 18 leading practitioners in the field, working at companies such as Siemens, Microsoft, Facebook, Google, Amazon and Uber, among many others.”. “KDD is a ‘must attend’ conference, where the theory and practice in data science, machine learning and artificial intelligence come together in industry-defining innovations,” explained KDD 2020 General Co-chair Rajesh K. Gupta, University of California, San Diego. The ACM Special Interest Group for Knowledge Discovery from Data (SIGKDD) is a professional society comprising world-renowned data scientists from industry and academia. The data science revolution is finally enabling the development of large-scale data-driven models that provide scenarios, forecasts and risk analysis for infectious disease threats. ACM's Special Interest Groups (SIGs) represent major areas of computing, addressing the interests of technical communities that drive innovation. A key challenge in NED is generalizing to rarely seen (tail) entities. “BusTr: Predicting Bus Travel Times from Real-Time Traffic” committee of researchers of high repute. A real-world system often exhibits complex dynamics arising from interaction among its subunits. 2020 SIGKDD Test of Time Award for Research Christian Wardlaw, Independent Expert | Jun 29, 2020. Alessandro Vespignani, Northeastern University In this talk, we survey the finance ecosystem and the history of chat and dialog technology used for trading. [Learn More about ACM's Commitment to Diversity & Inclusion...]. The full KDD program is available here . KDD 2020 is looking to be an amazing year. Research Track Papers. “A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network” The authors present BusTr, a machine-learned model for translating road traffic forecasts into predictions of bus delays, used by Google Maps to serve the majority of the world's public transit systems where no official real-time bus tracking is provided. Click-through rate (CTR) prediction is one of the most important machine learning tasks in recommender systems, driving personalized experience for billions of consumers. August 2020. The panel will discuss the skill sets data scientists should focus on, such as business understanding, explanation, and storytelling. While organizing a fully virtual conference is unchartered territory, we have made sure all of the program facets from previous years will be part of KDD 2020—from fascinating keynote addresses, to engaging research, workshops and panels. Mengdi Huai, Jianhui Sun, Renqin Cai, Aidong Zhang, University of Virginia; Liuyi Yao, State University of New York at Buffalo USC, USA, Program Chairs: Jiliang Tang. Manuela M. Veloso, Carnegie Mellon University ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. The full KDD program is available here . “AI for Intelligent Financial Services: Examples and Discussion” of conversational systems. Submissions Due - June 15, 2020 (11: 59 P.M. AoE) Notification - June 30, 2020 Camera Ready Version of Papers Due - July 10, 2020 KDD Converse half day Workshop - August 24, 2020 We invite quality research contributions, position and opinion papers addressing relevant challenges in the domain of conversational systems.
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