Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. We invite submission of papers describing innovative research on all aspects of knowledge discovery and data science, ranging from theoretical foundations to novel models and algorithms for data science problems in science, business, medicine, and engineering. 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. fact-checking. Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu. Thank you for all your contributions, our, Paper submission deadline is now extended to. Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. Participants will be given access to publicly available datasets and will be asked to use tools from AI and ML to generate insight from the data. At the AAAI 2022 Workshop on Video Transcript Understanding (VTU @ AAAI 2022), we aim to bring together researchers from various domains to make the best of the knowledge that all these videos contain. Papers must be between 4-8 pages with the AAAI submission format submitted to the track of regular paper, SUPERB or Zero Speech result paper. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. Please submit the papers and system reports toEasyChair, Thien Huu Nguyen (University of Oregon, thien@cs.uoregon.edu), Walter Chang (Adobe Research, wachang@adobe.com), Amir Pouran Ben Veyseh (University of Oregon, apouranb@uoregon.edu), Viet Dac Lai (University of Oregon, viet@uoregon.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Workshop URL:https://sites.google.com/view/sdu-aaai22/home. Deep Generation of Heterogeneous Networks. Deep Learning models are at the core of research in Artificial Intelligence research today. Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao. The workshop is a full day. https://doi.org/10.1007/s10707-019-00376-9. Merge remote-tracking branch 'origin/master', 2. The following paper categories are welcome: Submission site:https://sites.google.com/view/eaai-ws-2022/call, Silvia Tulli (Dept. Published March 4, 2023 4:51 a.m. PST. Deep Generative Models for Spatial Networks. These abrupt changes impacted the environmental assumptions used by AI/ML systems and their corresponding input data patterns. While most work on XAI has focused on opaque learned models, this workshop also highlights the need for interactive AI-enabled agents to explain their decisions and models. KDD 2022. Previously published work (or under-review) is acceptable. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. Jinliang Ding, Liang Zhao, Changxin Liu, and Tianyou Chai. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. We invite the submission of papers with 4-6 pages. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. The fundamental mechanism of an online marketplace is to match supply and demand to generate transactions, with objectives considering service quality, participants experience, financial and operational efficiency. The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering Safety as a design principle rather than an option. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. KDD 2023 August 06-10, 2023. This cookie is set by GDPR Cookie Consent plugin. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. The submissions need to be anonymized. Submissions are due by 12 November 2021. Attendance is open to all, subject to any room occupancy constraints. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), (acceptance rate: 22%), Vancouver, BC, pp. The workshop follows a single-blind reviewing process. Ourprevious workshop at AAAI-21generated significant interest from the community. Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons second headquarter, New initiatives at KDD 2022: undergraduate research and poster session, Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel, Workshops and hands-on tutorials on emerging topics. Keynotes and invited talks: Several keynotes and invited talks by leading researchers in the area will be presented. "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. P. 6205, succursale Centre-villeMontral, (Qubec) H3C 3T5Canada. The workshop will be co-located with the KDD 2022 conference at Washington DC Convention Center,Washington D.C., USA onAugust 17th, 2022 at1PM5PM (Eastern Standard Time). Realizing the vision of Document Intelligence remains a research challenge that requires a multi-disciplinary perspective spanning not only natural language processing and understanding, but also computer vision, layout understanding, knowledge representation and reasoning, data mining, knowledge discovery, information retrieval, and more all of which have been profoundly impacted and advanced by deep learning in the last few years. Make sure your desired study programs are open for admission in the session when you would like to start your studies. Options include pruning a trained network or training many networks automatically. (Depending on the volume of submissions, we may be able to accommodate only a subset of them.). Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. References will not count towards the page limit. Submissions of technical papers can be up to 7 pages excluding references and appendices. We collaborate with Saudi Aramco to use machine learning for simulating oil and water flows, . Submitted technical papers can be up to 4 pages long (excluding references and appendices). We encourage authors to contact the organizers to discuss possible overlap. Accepted submissions will be notified latest by August 7th, 2022. 2022. Submissions may consist of up to 4 pages plus one additional page solely for references. 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. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. The topics for AIBSD 2022 include, but are not limited to: This one-day workshop will include invited talks from keynote speakers, and oral/spotlight presentations of the accepted papers. We plan to invite 2-4 keynote speakers from prestigious universities and leading industrial companies. Modern surveillance systems employ tools and techniques from artificial intelligence and machine learning to monitor direct and indirect signals and indicators of disease activities for early, automatic detection of emerging outbreaks and other health-relevant patterns. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. [slides] Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Please keep your paper format according to AAAI Formatting Instructions (two-column format). Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. Submissions will be peer reviewed, single-blinded. 2085-2094, Aug 2016. Attendance is open to all. Yevgeniy Vorobeychik (Washington University in St. Louis), Bruno Sinopoli (Washington University in St. Louis), Jinghan Yang (Washington University in St. Louis), Bo Li (UIUC), Atul Prakash (University of Michigan), Supplemental Workshop site:https://jinghany.github.io/trase2022/. And considering robustness, input data with noises frequently occur in open-world scenarios, which presents critical challenges for the building of robust AI systems in practice. The workshop attracted about 100 attendees. We will accept both original papers up to 8 pages in length (including references) as well as position papers and papers covering work in progress up to 4 pages in length (not including references).Submission will be through Easychair at the AAAI-22 Workshop AI4DO submission site, Professor Bistra Dilkina (dilkina@usc.edu), USC and Dr. Segev Wasserkrug, (segevw@il.ibm.com), IBM Research, Prof. Andrea Lodi (andrea.lodi@cornell.edu), Jacobs Technion-Cornell Institute IIT and Dr. Dharmashankar Subrmanian (dharmash@us.ibm.com), IBM Research. Submissions are limited to a total of 5 pages for initial submission (up to 6 pages for final camera-ready submission), excluding references or supplementary materials, and authors should only rely on the supplementary material to include minor details that do not fit in the 5 pages. Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, and Liang Zhao. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. Submissions of technical papers can be up to 7 pages excluding references and appendices. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu.
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