IAAI
The Thirty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-22) is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is to showcase successful applications and novel uses of AI. The conference will use technical papers, best practice papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an interchange of ideas between basic and applied AI and the discourse on the actual deployment of AI in practice.
See more details on the AAAI’22 website:
https://aaai.org/Conferences/AAAI-22/iaai-22-program/
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IAAI Poster Session 1: Ecology, Commerce, and Transportation
Red 6
Posters appearing in this session are listed below.
DPLY100 Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce (Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao).
DPLY145 Automatic Product Copywriting for E-commerce (Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu).
DPLY146 Intelligent Online Selling Point Extraction for E-commerce Recommendation (Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, , Yun Xiao, Bo Long, Han Yu, Lingfei Wu).
DPLY53 Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset (Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec).
EMER103 YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management (Wesley Lin).
EMER109 Facilitating Human-Wildlife Cohabitation through Conflict Prediction (Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe).
EMER138 Latent Space Simulation for Carbon Capture Design Optimization (Brian Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng).
EMER156 TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning (Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia Gel).
EMER170 Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance (Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel Newlands, Yulia Gel).
EMER178 A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce (Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi).
EMER29 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation (Porter Jenkins, Hua Wei, J. Stockton Jenkins, Jessie Li).
EMER40 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors (Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav).
EMER63 Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data (Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldermariam).
EMER70 Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks (Aleksei Kuvshinov, Daniel Knobloch, Daniel Külzer, Elen Vardanyan, Stephan Günnemann).
EMER98 A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions (Dohee Kim, Hong Gi Shim, Jeong Soo Eo).
DC180 Using Multimodal Data and AI to Dynamically Map Flood Risk (Lydia Bryan-Smith).
DC397 AI-Driven Road Condition Monitoring across Multiple Nations (Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal).
UC27 Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities (Willa Potosnak).
UC39 Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers (Eshika Saxena).
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IAAI AI in Practice Panel 1: From Keyboard to Bedside: Connecting AI Solutions to Health Care Problems
Red 6
Moderator: Martin Michalowski, Assistant Professor, University of Minnesota School of Nursing
Panelists: David Buckeridge, Professor, McGill University; Chief Digital Health Officer, McGill University Health Centre; Associate Member, Mila; Maxim Topaz, Elizabeth Standish Gill Associate Professor of Nursing, Columbia University Medical Center; Peter Liu, Chief Scientific Officer and VP of Research, University of Ottawa Heart Institute, Professor of Medicine and Physiology, University of Toronto and University of Ottawa
AI solutions directed towards health care are often developed without a real health-related problem to solve. What is being done and what is still needed to bridge the gap between AI developers’ expertise and health care providers’ needs?
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IAAI-22 Robert S. Engelmore Memorial Lecture Award: Andrew Ng, "The Data-Centric AI".
Red Plenary Room
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IAAI Poster Session 2: Healthcare, Tools, Finance/Insurance, and Design
Red 6
Posters appearing in this session are listed below.
DPLY140 Identifying Early Warning Signals from News Using Network Community Detection (Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das).
DPLY60 Contribution-Aware Federated Learning for Smart Healthcare (Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang).
DPLY97 AI Driven Accounts Payable Transformation (Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan).
EMER107 Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images (Naren Nallapareddy, Soumya Ray).
EMER112 Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites (Zakaria Mehrab, Mandy Wilson, Serina Chang, Galen Harrison, Bryan Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe).
EMER114 Flexible-Window Predictions on Electronic Health Records (Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti).
EMER127 Combating Sampling Bias: A Self-Training Method in Credit Risk Models (Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han, Kun Lu).
EMER27 Learning to Rank Articles for Molecular Queries (Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky).
EMER45 Micronutrient Deficiency Prediction via Publicly Available Satellite Data (Elizabeth Bondi, Haipeng Chen, Christopher Golden, Nikhil Behari, Milind Tambe).
EMER68 Designing a Human-in-the-Loop System for Object Detection in Floor Plans (Johannes Jakubik, Patrick Hemmer, Michael Voessing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr).
EMER91 Using Public Data to Predict Demand for Mobile Health Clinics (Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy Oriol, Milind Tambe).
INTG137 Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning (Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro).
TOOL119 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining (Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve).
TOOL142 A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application (Maeda F. Hanafi, Yannis Katsis, Martín Santillán Cooper, Yunyao Li).
TOOL94 AI Explainability 360: Impact and Design (Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang).
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IAAI AI in Practice Panel 2: The Commercialization of AI in Health
Red 6
Moderator: Matthew Michelson, President, Genesis AI (Genesis Research); Co-Founder & CEO (Evid Science)
Panelists: Jeffrey De Flavio, Partner and Entrepreneur-in-Residence at AlleyCorp, Co-Founder & Executive Chairman (Diana Health, Affect Therapeutics, and Pearl Health); Jeff Chang, Co-Founder & CPO (Rad AI); Yinhan Liu, Co-founder & CTO (Birch.AI)
The commercialization of AI applications in health is accelerating at an incredible pace. What is needed to make AI methods applied to health care deployable and profitable?
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IAAI Poster Session 3: Monitoring and Control, NLP and Documents, Cybersecurity
Red 6
Posters appearing in this session are listed below.
DPLY152 Harvest – A System for Creating Structured Rate Filing Data from Filing PDFs (Ender Tekin, Qian You, Deving Conathan, Glenn Fung, Thomas Kneubuehl).
EMER113 An Interactive Explanatory AI System for Industrial Quality Control (Dennis Müller, Michael März, Stephan Scheele, Ute Schmid).
EMER117 AI-Assisted Controls Change Management for Cybersecurity in the Cloud (Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal).
EMER121 Predictive Maintenance for General Aviation Using Convolutional Transformers (Hong Yang, Aidan Labella, Travis Desell).
EMER123 Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data (Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hoennscheidt, Michael Steffes, Volker Gruhn).
EMER126 Wasserstein Adversarial Transformer for Cloud Workload Prediction (Shivani Arbat, Vinod K. Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim).
EMER139 CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance (Anoop Karnik Dasika, Praveen Paruchuri).
EMER159 DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts (Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana).
EMER174 AI for Disaster Rapid Damage Assessment from Microblogs (Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam).
EMER35 ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing (Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu).
EMER4 Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding (Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant Strimel).
EMER52 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions (Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim).
EMER8 Reinforcement Learning for Datacenter Congestion Control (Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor).
EMER93 Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services (Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern).
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IAAI AI in Practice Panel 3: Applications and Implications of Deep AI for Personalizing Health Interventions
Red 6
Moderator: Eran Halperin, SVP of AI and Machine Learning in Optum Labs (United Health Group), and a professor in the departments of Computer Science, Computational Medicine, Anesthesiology, and Human Genetics at UCLA
Panelists: Shamim Nemati, Director, Predictive Health Analytics, UC San Diego Health, Department of Biomedical Informatics; James Zou, Assistant Professor, Stanford University, Faculty Director, Stanford AI4Health; Corey Arnold, Professor,
Deptartments of Radiology, Pathology, Electrical & Computer Engineering, and Bioengineering, UCLA
Deep AI combined with increasingly large and available data has transformed the way health care providers personalize treatments to specific patients. What are the emerging applications of Deep AI for developing personalized interventions and what implications do they have on the provision of care?
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IAAI Poster Session 4: Commerce, Transportation, Tools, Finance/Insurance, Design, NLP and Documents, Cybersecurity
Red 6
Posters appearing in this session are listed below.
DPLY100 Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce (Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao).
DPLY140 Identifying Early Warning Signals from News Using Network Community Detection (Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das).
DPLY145 Automatic Product Copywriting for E-commerce (Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu).
DPLY146 Intelligent Online Selling Point Extraction for E-commerce Recommendation (Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, , Yun Xiao, Bo Long, Han Yu, Lingfei Wu).
DPLY152 Harvest – A System for Creating Structured Rate Filing Data from Filing PDFs (Ender Tekin, Qian You, Deving Conathan, Glenn Fung, Thomas Kneubuehl).
DPLY53 Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset (Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec).
DPLY97 AI Driven Accounts Payable Transformation (Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan).
EMER117 AI-Assisted Controls Change Management for Cybersecurity in the Cloud (Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal).
EMER127 Combating Sampling Bias: A Self-Training Method in Credit Risk Models (Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han, Kun Lu).
EMER159 DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts (Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana).
EMER178 A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce (Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi).
EMER29 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation (Porter Jenkins, Hua Wei, J. Stockton Jenkins, Jessie Li).
EMER35 ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing (Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu).
EMER4 Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding (Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant Strimel).
EMER52 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions (Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim).
EMER68 Designing a Human-in-the-Loop System for Object Detection in Floor Plans (Johannes Jakubik, Patrick Hemmer, Michael Voessing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr).
EMER70 Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks (Aleksei Kuvshinov, Daniel Knobloch, Daniel Külzer, Elen Vardanyan, Stephan Günnemann).
EMER98 A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions (Dohee Kim, Hong Gi Shim, Jeong Soo Eo).
TOOL119 Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining (Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve).
TOOL142 A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application (Maeda F. Hanafi, Yannis Katsis, Martín Santillán Cooper, Yunyao Li).
TOOL94 AI Explainability 360: Impact and Design (Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang).
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IAAI Oral Presentations 4: E-Commerce and the Web
Red 6
Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining
Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadıoğlu, Willem-Jan Van Hoeve
Identifying Early Warning Signals from News Using Network Community Detection
Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das
Intelligent Online Selling Point Extraction for E-commerce Recommendation
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
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IAAI Poster Session 5: Ecology, Healthcare, Monitoring and Control
Red 6
Posters appearing in this session are listed below.
DPLY60 Contribution-Aware Federated Learning for Smart Healthcare (Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang).
EMER103 YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management (Wesley Lin).
EMER107 Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images (Naren Nallapareddy, Soumya Ray).
EMER109 Facilitating Human-Wildlife Cohabitation through Conflict Prediction (Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe).
EMER112 Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites (Zakaria Mehrab, Mandy Wilson, Serina Chang, Galen Harrison, Bryan Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe).
EMER113 An Interactive Explanatory AI System for Industrial Quality Control (Dennis Müller, Michael März, Stephan Scheele, Ute Schmid).
EMER114 Flexible-Window Predictions on Electronic Health Records (Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti).
EMER121 Predictive Maintenance for General Aviation Using Convolutional Transformers (Hong Yang, Aidan Labella, Travis Desell).
EMER123 Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data (Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hoennscheidt, Michael Steffes, Volker Gruhn).
EMER126 Wasserstein Adversarial Transformer for Cloud Workload Prediction (Shivani Arbat, Vinod K. Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim).
EMER138 Latent Space Simulation for Carbon Capture Design Optimization (Brian Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng).
EMER139 CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance (Anoop Karnik Dasika, Praveen Paruchuri).
EMER156 TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning (Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia Gel).
EMER170 Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance (Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel Newlands, Yulia Gel).
EMER174 AI for Disaster Rapid Damage Assessment from Microblogs (Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam).
EMER27 Learning to Rank Articles for Molecular Queries (Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky).
EMER40 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors (Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav).
EMER45 Micronutrient Deficiency Prediction via Publicly Available Satellite Data (Elizabeth Bondi, Haipeng Chen, Christopher Golden, Nikhil Behari, Milind Tambe).
EMER63 Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data (Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldermariam).
EMER8 Reinforcement Learning for Datacenter Congestion Control (Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor).
EMER91 Using Public Data to Predict Demand for Mobile Health Clinics (Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy Oriol, Milind Tambe).
EMER93 Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services (Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern).
INTG137 Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning (Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro).
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IAAI Oral Presentations 5: Web Search and Healthcare
Red 6
Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset
Matěj Kocián, Jakub Náplava, Daniel Štancl, Vladimír Kadlec
Contribution-Aware Federated Learning for Smart Healthcare
Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
