Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. Submissions of technical papers can be up to 7 pages excluding references and appendices. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. Securing personal information, genomics, and intellectual property, Adversarial attacks and defenses on biomedical datasets, Detecting and preventing spread of misinformation, Usable security and privacy for digital health information, Phishing and other attacks using health information, Novel use of biometrics to enhance security, Machine learning (including RL) security and resiliency, Automation of data labeling and ML techniques, Operational and commercial applications of AI, Explanations of security decisions and vulnerability of explanations. Topics of interest include but are not limited to: (1) Survey papers summarizing recent advances in RL with applicability to ED; (2) Developing toolkits and datasets for applying RL methods to ED; (3) Using RL for online evaluation and A/B testing of different intervention strategies in ED; (4) Novel applications of RL for ED problem settings; (5) Using pedagogical theories to narrow the policy space of RL methods; (6) Using RL methodology as a computational model of students in open-ended domains; (7) Developing novel offline RL methods that can efficiently leverage historical student data; (8) Combining statistical power of RL with symbolic reasoning to ensure the robustness for ED. December, 09-12, 2022. Xiaojie Guo, Lingfei Wu, Liang Zhao. with other vehicles via vehicular communication systems (e.g., dedicated short range communication (DSRC), vehicular ad hoc networks (VANETs), long term evolution (LTE), and 5G/6G mobile networks) for cooperation. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). Positive applications of adversarial ML, i.e., adversarial for good. We invite submissions from participants who can contribute to the theory and applications of modeling complex graph structures such as hypergraphs, multilayer networks, multi-relational graphs, heterogeneous information networks, multi-modal graphs, signed networks, bipartite networks, temporal/dynamic graphs, etc. The 11th International Conference on Learning Representations (ICLR 2023), accepted. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. 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. A new and comprehensive view of AI Safety must cover a wide range of AI paradigms, including systems that are application-specific as well as those that are more general, considering potentially unanticipated risks. The cookie is used to store the user consent for the cookies in the category "Other. Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. Zitao Liu (main contact) , TAL Education Group, liuzitao@tal.com, http://www.zitaoliu.com, Jiliang Tang (Michigan State University, tangjili@msu.edu, https://www.cse.msu.edu/~tangjili/), Lihan Zhao (TAL Education Group, zhaolihan@tal.com), and Xiao Zhai (TAL Education Group, zhaixiao@tal.com), Workshop URL:http://ai4ed.cc/workshops/aaai2022. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. Functional Connectivity Prediction with Deep Learning for Graph Transformation. This workshop brings together researchers from diverse backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. Conference Deadlines - I.timyang.vip Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. Representation Learning on Spatial Networks. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. Second, psychological experiments in laboratories and in the field, in partnership with technology companies (e.g., using apps), to measure behavioral outcomes are being increasingly used for informing intervention design. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Long papers (up to 6 pages + references) and extended abstracts (2 pages + references) are welcome, including resubmissions of already accepted papers, work-in-progress, and position papers. In other words, many existing FL solutions are still exposed to various security and privacy threats. IEEE, 2014. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. AAAI, specifically, is a great venue for our workshop because its audience spans many ML and AI communities. Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples. Yet, most of these efforts highlighted the challenges of model governance and compliance processes. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. Public health authorities and researchers collect data from many sources and analyze these data together to estimate the incidence and prevalence of different health conditions, as well as related risk factors. Ferdinando Fioretto (Syracuse University), Aleksandra Korolova (University of Southern California), Pascal Van Hentenryck (Georgia Institute of Technology), Supplemental Workshop site:https://aaai-ppai22.github.io/. 25-50 attendees including invited speakers and accepted papers. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Saliency-regularized Deep Multi-task Learning. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Microsoft Research CMT: https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/ or https://aka.ms/di-2022, Workshop registration will be processed with the main KDD 2022 conference: https://kdd.org/kdd2022/, Standard ACM Conference Proceedings Template, Conflict of Interest Policy for ACM Publications, https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/, Second Document Intelligence Workshop @ KDD 2021, First Document Intelligence Workshop @ NeurIPS 2019, Hamid Motahari, Nigel Duffy, Paul Bennett, and Tania Bedrax-Weiss. The impact of robustness assurance on other AI ethics principles: RAISA will also explore aspects related to ethical AI that overlap and interact with robustness concerns, including security, fairness, privacy, and explainability. 11-13. . Big Data 2022 December 13-16, 2022. CVPR 11 deadline . Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International "Spatiotemporal Event Forecasting in Social Media." The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022) (Acceptance Rate: 23.8%), full paper track, to appear, 2022. The Institute for Operations Research and the Management Sciences, [Submission deadline extended, June 3] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, We are excited to announce our upcoming workshop at. In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. Apr 25th through Fri the 29th, 2022. . What approaches emerge in building fundamentally robust and adaptive AI/ML systems? At least one author of each accepted submission must be present at the workshop. Papers more suited for a poster, rather than a presentation, would be invited for a poster session. [Submission deadline extended, June 3] KDD 2022 Workshop on - INFORMS In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. While the research community is converging on robust solutions for individual AI models in specific scenarios, the problem of evaluating and assuring the robustness of an AI system across its entire life cycle is much more complex. Submission site:https://cmt3.research.microsoft.com/ITCI2022, Murat Kocaoglu, Chair (Purdue University, mkocaoglu@purdue.edu), Negar Kiyavash (EPFL, negar.kiyavash@epfl.ch), Todd Coleman (UCSD, tpcoleman@ucsd.edu), Supplemental workshop site:https://sites.google.com/view/itci22. Outcomes include outlining the main research challenges in this area, potential future directions, and cross-pollination between AI researchers and domain experts in agriculture and food systems. This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. 2022. Iclr 2022 Information extraction and information retrieval for scientific documents; Question answering and question generation for scholarly documents; Word sense disambiguation, acronym identification and expansion, and definition extraction; Document summarization, text mining, document topic classification, and machine reading comprehension for scientific documents; Graph analysis applications including knowledge graph construction and representation, graph reasoning and query knowledge graphs; Biomedical image processing, scientific image plagiarism detection, and data visualization; Code/Pseudo-code generation from text and im-age/diagram captioning, New language understanding resources such as new syn-tactic/semantic parsers, language models or techniques to encode scholarly text; Survey or analysis papers on scientific document under-standing and new tasks and challenges related to each scientific domain; Factuality, data verification, and anti-science detection. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. Autonomous vehicles can share their detected information (e.g., traffic signs, collision events, etc.) Motif-guided Heterogeneous Graph Deep Generation. To facilitate KDD related research, we create this repository with: *ICDM has two tracks (regular paper track and short paper track), but the exact statistic is not released, e.g., the split between these two tracks. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. The program consists of poster sessions for accepted papers, and invited and spotlight talks. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. Spatiotemporal Innovation Center Team. Generative Adversarial Learning of Protein Tertiary Structures. The challenge requires participants to build competitive models for diverse downstream tasks with limited labeled data and trainable parameters, by reusing self-supervised pre-trained networks. How to do good research, Get it published in SIGKDD and get it cited! IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. 2020. Extended abstracts should not exceed 2 pages, excluding references. Deep Generation of Heterogeneous Networks. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Some good examples include recommender systems, clustering, graph mining, Robust Regression via Online Feature Selection under Adversarial Data Corruption. [slides] Aryan Deshwal (Washington State University, aryan.deshwal@wsu.edu), Syrine Belakaria (Washington State University, syrine.belakaria@wsu.edu), Cory Simon (Oregon State University, cory.simon@oregonstate.edu), Jana Doppa (Washington State University, jana.doppa@wsu.edu), Yolanda Gil (University of Southern California, gil@isi.edu), Supplemental workshop site:https://ai-2-ase.github.io/. By entering your email, you consent to receive communications from UdeM. All submissions must be original contributions and will be peer reviewed, single-blinded. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. ACM, 2013. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. "Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data" The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) , (acceptance rate: 21%), pp. Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. You can optionally export all deadlines to Google Calendar or .ics . Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. At least one author of each accepted submission must register and present the paper at the workshop. Guangji Bai, Chen Ling, Liang Zhao. Oct. 24, 2021: The KDD2022 website is LIVE! For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. We solicit papers describing significant and innovative research and applications to the field of job marketplaces. 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. For each accepted paper, at least one author must attend the workshop and present the paper. 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. Andy Doyle, Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur. Welcome to PAKDD2022. Whats more, various AI based models are trained on massive student behavioral and exercise data to have the ability to take note of a students strengths and weaknesses, identifying where they may be struggling. The academic session will focus on most recent research developments on GNNs in various application domains. Yuyang Gao and Liang Zhao. in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), research track, (acceptance rate: 19.4%), Sydney, Australia, pp. In fact, the increasingly digitized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. Viliam Lisy (Czech Technical University in Prague, viliam.lisy@fel.cvut.cz), Noam Brown (Facebook AI Research, noambrown@fb.com), Martin Schmid (DeepMind, mschmid@google.com), Supplemental Workshop site:http://aaai-rlg.mlanctot.info/. The workshop invites contribution to novel methods, innovations, applications, and broader implications of SSL for processing human-related data, including (but not limited to): In addition to the above, papers that consider the following are also invited: Manuscripts that fit only certain aspects of the workshop are also invited. Oilers Outperform Division Rivals at 2023 Trade Deadline Xiaosheng Li, Jessica Lin, Liang Zhao. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. It provides an international forum . Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Xuchao Zhang, Liang Zhao, Zhiqian Chen, and Chang-Tien Lu. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. August 14-18, 2022. Frontiers in Big Data, accepted, 2021. Ourprevious workshop at AAAI-21generated significant interest from the community. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Short or position papers of up to 4 pages are also welcome. NOTE: Mandatory abstract deadline: 2022-08-08 Deadline: AAAI 157. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Novel approaches and works in progress are encouraged. Previous healthcare-related workshops focus on how to develop AI methods to improve the accuracy and efficiency of clinical decision-making, including diagnosis, treatment, triage. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. We collaborate with Saudi Aramco to use machine learning for simulating oil and water flows, . 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. The review process will be single blind. Oral presentations: 10 minute presentation for oral papers. Attendance is virtual and open to all. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges.
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