It is important to learn how to use AI effectively in these areas in order to be able to motivate and help people to take actions that maximize their welfare. AI for infrastructure management and congestion. The theme of the hack-a-thon will be decided before submission is closed and will be focused around finding creative solutions to novel problems in health. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. All extended abstracts and full papers are to be presented at the poster sessions. Accepted submissions will be notified latest by August 7th, 2022. References will not count towards the page limit. simulation, evaluation and experimentation. "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. Precision agriculture and farm management, Development of open-source software, libraries, annotation tools, or benchmark datasets, Bias/equity in algorithmic decision-making, AI for ITS time-series and spatio-temporal data analyses, AI for the applications of transportation, Applications and techniques in image recognition based on AI techniques for ITS, Applications and techniques in autonomous cars and ships based on AI techniques. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. KDD 2022 Spatiotemporal Innovation Center Team. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. This one-day workshop will bring concentrated discussions on self-supervision for the field of speech/audio processing via keynote speech, invited talks, contributed talks and posters based on community-submitted high-quality papers, and the result representation of SUPERB and Zero Speech challenge. PLOS ONE (impact factor: 3.534), vo. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. "Spatiotemporal Event Forecasting in Social Media." Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. KDD 2022. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. The mission of the TRASE workshop is to bring together researchers from multiple engineering disciplines, including Computer Science, and Computer, Mechanical, Electrical, and Systems Engineering, who focus their energies in understanding both specific TRASE subproblems, such as perception, planning, and control, as well as robust and reliable end-to-end integration of autonomy. 8 pages), short (max. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. Submission Site:https://cmt3.research.microsoft.com/SAS2022, Abdelrahman Mohamed (Facebook, abdo@fb.com), Hung-yi Lee (NTU, hungyilee@ntu.edu.tw), Shinji Watanabe (CMU, shinjiw@ieee.org), Tara Sainath (Google, tsainath@google.com), Karen Livescu (TTIC, klivescu@ttic.edu), Shang-Wen Li (Facebook, shangwel@fb.com), Ewan Dunbar (University of Toronto, ewan.dunbar@utoronto.ca) Emmanuel Dupoux (EHESS/Facebook, dpx@fb.com), Workshop URL:https://aaai-sas-2022.github.io/. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. We propose a full day workshop with the following sessions: The workshop solicits paper submissions from participants (26 pages). In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. 2020. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . At least one author of each accepted submission must be present at the workshop. World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. Countdowns to conference deadlines in the field of autonomous driving. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. 205-214, San Francisco, California, Aug 2016. Submit to:https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, Yinpeng Dong (dyp17@mails.tsinghua.edu.cn, 30 Shuangqing Road, Haidian District, Tsinghua University, Beijing, China, 100084, Phone: +86 18603303421), Yinpeng Dong (Tsinghua University, dyp17@mail.tsinghua.edu.cn), Tianyu Pang (Tsinghua University, pty17@mails.tsinghua.edu.cn), Xiao Yang (Tsinghua University, yangxiao19@mails.tsinghua.edu.cn), Eric Wong (MIT, wongeric@mit.edu), Zico Kolter (CMU, zkolter@cs.cmu.edu), Yuan He (Alibaba, heyuan.hy@alibaba-inc.com ). The goal of this workshop is to focus on creating and refining AI-based approaches that (1) process personalized data, (2) help patients (and families) participate in the care process, (3) improve patient participation, (4) help physicians utilize this participation to provide high quality and efficient personalized care, and (5) connect patients with information beyond that available within their care setting. Feature Constrained Multi-Task Learnings for Event Forecasting in Social Media." ), The workshop will be organized as half-day event with 2 invited speakers, follow by presentation from accepted papers (both ordinary papers, and shared task paper). arXiv preprint arXiv:2302.02093 (2023). Submissions will be peer reviewed, single-blinded. Reasons include: (1) a lack of certification of AI for security, (2) a lack of formal study of the implications of practical constraints (e.g., power, memory, storage) for AI systems in the cyber domain, (3) known vulnerabilities such as evasion, poisoning attacks, (4) lack of meaningful explanations for security analysts, and (5) lack of analyst trust in AI solutions. 22, Issue 2. Chen Ling, Hengning Cao, Liang Zhao. Merge remote-tracking branch 'origin/master', 2. The positive/negative social impacts and ethical issues related to adversarial ML. Adverse event detection by integrating Twitter data and VAERS. All submissions must be anonymous and conform to AAAI standards for double-blind review. The aim of this workshop is to focus on both original research and review articles on various disciplines of ITS applications, including particularly AI techniques for ITS time-series data analyses, ITS spatio-temporal data analyses, advanced traffic management systems, advanced traveler information systems, commercial vehicle operation systems, advanced vehicle control and safety systems, advanced public transportation services, advanced information management services, etc. What are the primary lessons learned from the model failures? We cordially welcome researchers, practitioners, and students from academia and industry who are interested in understanding and discussing how data scarcity and bias can be addressed in AI to participate. The goal of this workshop is to bring together the causal inference, artificial intelligence, and behavior science communities, gathering insights from each of these fields to facilitate collaboration and adaptation of theoretical and domain-specific knowledge amongst them. Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). Gabriel Pedroza (CEA LIST), Jos Hernndez-Orallo (Universitat Politcnica de Valncia, Spain), Xin Cynthia Chen (University of Hong Kong, China), Xiaowei Huang (University of Liverpool, UK), Huascar Espinoza (KDT JU, Belgium), Mauricio Castillo-Effen (Lockheed Martin, USA), Sen higeartaigh (University of Cambridge, UK), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK), Supplemental workshop site:http://safeaiw.org/. and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. [slides] Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. Accepted papers are likely to be archived. Liang Zhao, Olga Gkountouna, and Dieter Pfoser. : Papers are submitted through the CMT portal for this workshop: Please select the track for your submission in Primary Subject Area and indicate if your submission is a full paper or an extended abstract in Secondary Subject Area. But opting out of some of these cookies may affect your browsing experience. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. "GA-based principal component selection for production performance estimation in mineral processing." Research efforts and datasets on text fact verification could be found, but there is not much attention towards multi-modal or cross-modal fact-verification. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." Xiaosheng Li, Jessica Lin, and Liang Zhao. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . Please keep your paper format according to AAAI Formatting Instructions (two-column format). Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. We allow both short (2-4 pages) and long papers (6-8 pages) papers. Check the CFP for details Deadline: ICDM 2020 . Social Media based Simulation Models for Understanding Disease Dynamics. The workshop is organized by paper presentations.The length of the workshop: 1-day, 6-8 pages for full papers2-4 for poster/short/position papers, Submission URL:https://easychair.org/conferences/?conf=aaai-2022-workshop, Wenzhong Guo (Fuzhou University, fzugwz@163.com), Chin-Chen Chang (Feng Chia University, alan3c@gmail.com), Chi-Hua Chen (Fuzhou University, chihua0826@gmail.com), Haishuai Wang (Fairfield University & Harvard University, hwang@fairfield.edu), Feng-Jang Hwang (University of Technology Sydney), Cheng Shi (Xian University of Technology), Ching-Chun Chang (National Institute of Informatics, Japan). Submissions will be accepted via the Easychair submission website. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao. Submit to:https://easychair.org/conferences/?conf=imlaaai22, Elizabeth DalyAddress: IBM Dublin Technology Campus, Dublin 15, IrelandEmail: elizabeth.daly@ie.ibm.com, Elizabeth Daly, IBM Research, Ireland (elizabeth.daly@ie.ibm.com), znur Alkan, IBM Research, Ireland (oalkan2@ie.ibm.com), Stefano Teso, University of Trento, Italy (stefano.teso@unitn.it), Wolfgang Stammer, TU Darmstadt, Germany (wolfgang.stammer@cs.tu-darmstadt.de), Workshop URL:https://sites.google.com/view/aaai22-imlw. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. The consideration and experience of adversarial ML from industry and policy making. iCal Outlook robotics We will specifically invite participants of the DSTC10 tasks, track organizers, and authors of accepted papers in the general technical track. The official dates for submitting an application are detailed below, but see the exact deadline posted on the Description Page for the program of study. sup-port vector machine (SVM), decision tree, random forest, etc.) Welcome to the home of the 2023 ACM SIGMOD/PODS Conference, to be held in the Seattle metropolitan area, Washington, USA, on June 18 - June 23, 2023. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. Liang Gou, Bosch Research (IEEE VIS liaison), Claudia Plant, University of Vienna (KDD liaison), Alvitta Ottley, Washington University, St. Louis, Junming Shao, University of Electronic Science and Technology of China, Visualization in Data Science (VDS at ACM KDD and IEEE VIS), Visualization in Data Science (VDS at ACM KDD and IEEE VIS). Multilingual document understanding methods and frameworks. Complex systems are often characterized by several components that interact in multiple ways among each other. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. ITCI22 will be a one-day workshop. The last few years have seen the rapid development of mathematical methods for modeling structured data coming from biology, chemistry, network science, natural language processing, and computer vision applications. You also have the option to opt-out of these cookies. The workshop will include several technical sessions, a virtual poster session where presenters can discuss their work, to further foster collaborations, multiple invited speakers covering crucial aspects for the practical deep learning in the wild, especially the efficient and robust deep learning, some tutorial talks, the challenge for efficient deep learning and solution presentations, and will conclude with a panel discussion. What techniques and approaches can be used to detect and effectively manage similar scenarios in the future? search, ranking, recommendation, and personalization. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. LOG 2022 LOG '22 . the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. Track 2 focuses on the state of the art advances in the computational jobs marketplace. robust and interpretable natural language processing for healthcare. Junxiang Wang, Junji Jiang, Liang Zhao. How do metrics of capability and generality, and the trade-offs with performance affect safety? The workshop plans to invite about 50-75 participants. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. However, the quality of audio and video content shared online and the nature of speech and video transcripts pose many challenges to the existing natural language processing. As a result, many AI/ML systems faced serious performance challenges and failures. Self-supervised learning approaches involving the interaction of speech/audio and other modalities. July 22: The workshop Programis up! Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. 11-13. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. For instance, advanced driver assistance systems and autonomous cars have been developed based on AI techniques to perform forward collision warning, blind spot monitoring, lane departure warning systems, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. This 1-day workshop will include a mixture of invited speakers, panels (including discussion with the audience), and presentations from authors of accepted submissions. Novel mechanisms for eliciting and consuming user feedback, recommender, structured and generative models, concept acquisition, data processing, optimization; HCI and visualization challenges; Analysis of human factors/cognition and user modelling; Design, testing and assessment of IML systems; Studies on risks of interaction mechanisms, e.g., information leakage and bias; Business use cases and applications. Integration of probabilistic inference in training deep models. This is a 1-day workshop involving talks by pioneer researchers from respective areas, poster presentations, and short talks of accepted papers. 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. While a variety of research has advanced the fundamentals of document understanding, the majority have focused on documents found on the web which fail to capture the complexity of analysis and types of understanding needed across business documents. fact-checking. In some programs, spots may be available after the deadlines. Liang Zhao, Feng Chen, and Yanfang Ye. URL: https://sites.google.com/view/kdd22onlinemarketplaces Call For Papers (Submission deadline: June3, 2022) DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. 2999-3006, New Orleans, US, Feb 2018. 3, pp. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. It is a forum to bring attention towards collecting, measuring, managing, mining, and understanding multimodal disinformation, misinformation, and malinformation data from social media. AAAI is pleased to present the AAAI-22 Workshop Program. The post-lunch session will feature one long talk, two short talks, and a poster session. A challenge is how to integrate people into the learning loop in a way that is transparent, efficient, and beneficial to the human-AI team as a whole, supporting different requirements and users with different levels of expertise. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Their results will be submitted in either a short paper or poster format. Continuous refinement of AI models using active/online learning. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. For example, AI tools are built to ease the workload for teachers. Submission site:https://cmt3.research.microsoft.com/DSTC102022, Koichiro Yoshino,Address: 2-2-2, Seika, Sohraku, Kyoto, 6190288, JapanAffiliation: RIKENPhone: +81-774-95-1360Email: koichiro.yoshino@riken.jp, Yun-Nung (Vivian) ChenAddress: No. "TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction", the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (SIGSPATIAL 2019), long paper, (acceptance rate: 21.7%), Chicago, Illinois, USA, accepted. considered to be more practical and more related with real-world applications.
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