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  • Prof. Minsoo Kim was appointed as an assistant pro..

    Prof. Minsoo Kim was appointed as an assistant professor of Computer Science at the KAIST School of Computing on March 1, 2020. Prof. Kim received his doctorate degree from KAIST in 2006 and his major research field is database. His detailed bibliography can be found in the following link. https://cs.kaist.ac.kr/people/view?idx=600&kind=faculty&menu=160 Welcome, Prof. Kim!

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  • Prof. Sooel Son's research team published a paper ..

    A research team led by Prof. Sooel Son published a paper, titled FUSE: Finding File Upload Bugs via Penetration Testing in Network and Distributed System Security (NDSS), one of the top security conferences in San Diego, USA from Feb. 24 to 27, 2020. File uploading feature in modern web applications is important in terms of sharing user-generated contents. However, there is a potential security threat in that the file upload function may upload arbitrary files created by attackers to the target server and used to take over the target system. In this study, the team of Web Security & Privacy Lab created a simulation testing tool called FUSE, found 30 new vulnerabilities in file uploading features from 33 popular web applications such as WordPress and Joomla, and received 15 CVEs. In addition, the research team released a mock attack testing tool FUSE on GitHub as well. Paper site: https://wsp-lab.github.io/papers/lee-fuse-ndss20.pdf Code site: https://github.com/WSP-LAB/FUSE

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  • Prof. Kihong Heo was appointed as an assistant pro..

    Prof. Kihong Heo was appointed as an assistant professor of School of Computing and Graduate School of Information Security at KAIST in February 1, 2020. Prof. Heo received his doctorate degree from Seoul National University in 2017 and his major is Program Analysis, Software Security, Programming Language. His detailed bibliography can be found in the following link. https://cs.kaist.ac.kr/people/view?idx=598&kind=faculty&menu=160 Welcome Prof. Heo!

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  • Prof. Hongseok Yang gave an invited talk at ACM PO..

    Prof. Hongseok Yang at the KAIST School of Computing gave an invited talk titled “Probabilistic Programming: Introduction and Two Remarks” at POPL 2020, a top-tier international conference in programming languages, which was held in New Orleans, USA, from 19 January 2020 to 25 January 2020.

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  • Prof. Meeyoung Cha gave a keynote speech on Januar..

    Prof. Meeyoung Cha gave a keynote speech on January 21 at the NetSciX 2020, held at Waseda University in Tokyo, Japan. NetSciX is a premiere winter conference held by the Network Science Society, featuring the latest research findings in the field of network science. The other keynote speakers of NetSciX 2020 include distinguished speakers including Prof. Albert-László Barabási (Northeastern University), Dr. Alain Barrat (CNRS, France), and Prof. Katy Börner (Indiana University).

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  • Prof. Meeyoung Cha received a Young Information Sc..

    Prof. Meeyoung Cha received a Young Information Scientist award from Korean Institute of Information Scientists and Engineers (KIISE) in December 19, 2019. The award, sponsored by organizing committee members of WWW 2014, is bestowed up to one scientist under the age of 40, with excellent R & D achievements in information science. This is the first time that the a recipient is from KAIST. Prof. Cha has researched on topics such as fake news detection, inferring economic indicators through satellite imagery, and developing insomnia detection mode in the field of data science and social computing, and published articles have been cited more than 13,000 times. She has played a leading role as a female scientist. Since January 2019, she has been selected as a promising Young Chief Investigator of the Institute for Basic Science (IBS) and runs a Data Science Group under the Mathematical and Computational Sciences Research Group. In addition, Prof. Cha delivered a keynote speech on the title "Current challenges in computational social science" at a international conference EMNLP(Conference on Empirical Methods in Natural Language Processing) in November, 2019, HongKong.

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  • Sung-eui Yoon received the award for Next Generati..

    Prof. Sung-eui Yoon received the award for Next Generation Scientist (in the category of IT), which was selected and supported by the Korean Academy of Science and Technology and S-Oil Science and Culture Foundation. This award is given to young scientists who have made excellent contributions in the last 10 years. Prof. Yoon has made significant contributions on physically based rendering in graphics, large-scale image search in computer vision, and sound source localization in robotics. https://www.mk.co.kr/news/it/view/2019/12/1057107/

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  • Prof. Jongse Park was appointed as an assistant pr..

    Prof. Jongse Park was appointed as an assistant professor of Computer Science at the KAIST School of Computing in December 1, 2019. He is also a faculty member of Computer Architecture and Systems Laboratory (CASys). Prof. Park received his doctorate degree from Georgia Institute of Technology in 2018 and his major is computer architecture. His detailed bibliography can be found in the following link. https://cs.kaist.ac.kr/people/view?idx=595&kind=faculty&menu=160 Welcome Prof. Park!

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  • Hackers are able to extract passwords from electri..

    http://me2.do/FNi187ea Prof. Kwangjo Kim in our computer science department have interviewed about the vulnerability of the electric scooter and car sharing systems, featured by KBS in Nov. 15, 2019.

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  • Prof. Juho Kim had interview in D-forum by SBS

    Prof. Juho Kim talked about social phenomenon including authentic online discussion in a news program by SBS.

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  • Prof. Min H. Kim delivered a keynote lecture at CA..

    Prof. Min H. Kim delivered a keynote lecture at CAD/Graphics 2019 ​ Prof. Min H. Kim delivered a keynote lecture on the topic “Beyond Human Vision - Seeing More with Camera” at Computer-Aided Design and Computer Graphics (CAD/Graphics) 2019 in Qingdao, China, from May 5 to 6. Prof. Kim discussed the foundations of compressive spectral imaging and introduced recent advances in the development of hyperspectral imaging technology that has been developed to make spectral imaging more accurate and smaller for practical applications in our daily life.

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  • Prof. Sung Yong Shin received Lifetime Achievement..

    Prof. Sung Yong Shin, awarded Asia Graphics Lifetime Achievement Award. Prof. Sung Yong Shin received an Asia Graphics Lifetime Achievement Award in Pacific Graphics 2019 for his outstanding leadership and tremendous contributions to computer graphics research in Asia. Prof. Shin founded Pacific Graphics in 1993 with his companion Prof. Myoung Soo Kim at Seoul National University and Prof. Shin is an emeritus professor of computer science at the KAIST School of Computing.

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  • Dr. Seongkook Heo, appointed as an assistant profe..

    Dr. Seongkook Heo (advisor: Prof. Geehyuk Lee) was appointed as an assistant professor in the computer science department at the University of Virginia in August 12, 2019. He had worked as a postdoctoral researcher at the University of Toronto after achieving his Ph.D. degree from the KAIST School of Computing in 2017. Dr. Heo has worked on developing various human-computer interaction methods and published papers in CHI, UIST, CSCW conferences and IEEE Transactions on Haptics. He also received a Ph.D fellowship from Naver company.

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  • Editorial board member of ACM Transactions on Soft..

    Dr. Shin Yoo, a faculty member of School of Computing, KAIST, has been appointed as an editorial board member of ACM Transactions on Software Engineering and Methodology (TOSEM) starting from July 2019. TOSEM is one of two SCI journals in software engineering, along with IEEE Transactions on Software Engineering. TOSEM has the impact factor of 2.516 in JCR 2017, and is currently ranked at the 18th place by Google Scholar among the Software Systems conferences and journals.

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  • Prof. Jeehoon Kang is appointed to our school

    Professor Jeehoon Kang has been appointed to the School of Computing as of February 27, 2019. Professor Jeehoon Kang received his doctorate degree from Seoul National University in 2019 and his major is Concurency, Parallelism, Programming Language, Verification, and his detailed history is as follows. https://cs.kaist.ac.kr/people/view?idx=590&kind=faculty&menu=160 Let's welcome Professor Jeehoon Kang!

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  • 2019 Science and Culture Exhibition Service Capaci..

    The research team KAIST's Smart Science Museum exhibition technology held the first-half workshop of science and culture exhibition services on Feb. 21-22 at the Hyatt Hotel in Seogwipo, Jeju Island. The Science and Culture Exhibition Service project was started in 2018 as a project supported by the Korea Research Foundation. A total of 15 research teams are involved in Smart Science Museum research group, with three teams from KAIST are participating. In School of Computing Professor Han Dong-soo (the head of the research team), Professor Park Jin-ah and Professor Lee Ki-hyuk are participating, and Professor Lee Woo-hoon is participating from the industrial design department. At the workshop, 15 research team’s manager, joint research institutes, the National Museum of Science research team, and officials from the exhibition headquarters of the National Daegu Science Museum participated to announce their 2019 research plans and reflect on their findings in 2018. During the workshop, Lee Jung-mo, director of the Seoul Municipal Science Museum, Kwak Soo-jin, CEO of "The Shake Creative," and Kwon Ki-kyun, CEO of "Science Museum and Culture," attended to give a talk on the science and cultural exhibitions. In addition, a joint advisory meeting was held with advisors for the Science and Culture Exhibition Service Capacity Enhancement Support Project and the research manager of 15 teams. “The workshop was nice because we could exchange information through various research exchanges," said Professor Han Dong-soo. “It was a good place to get hints to strengthen the exhibition capacity of the Korean Science and Culture Exhibition Service," he said

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  • Professor Suk-young Ryu's Award for Excellence and..

    Professor Ryu Suk-young of the School of Computing won the Excellence Award and Professor Kim Joo-ho won the Excellence Award at the Woe School Award, which was held on February 18 to commemorate the 48th anniversary of its foundation. Professor Ryu Seok-young's reward of 5 million won and matching scholarship of 5 million won by alumni Chang Byung-kyu contributed to the School of Computing Scholarship Fund. Congratulation

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  • Professor Kwang-jo Kim selected as Editor of IEEE ..

    Kim Kwang-jo, a professor at the Graduate School of Information Security of School of Computing, was chosen as an editor of IEEE Trans. on Dependable and Secure Computing, an international journal on information protection. This journal is one of 17 journals organized by the IEEE Computing Society, which has an impact factor of 2.926 and H-Index of 56, which bimonthly publishes the latest research results on on basic theories, design methodologies, and mechanisms on design, modeling, and evaluation techniques for systems and networks that provide reliable and security. Professor Kim has been selected as the first generation cryptographer in Korea who has been engaged in research on information protection and cipher since 1982, and is currently a member of the IACR (International Society for Cryptography) stone academy for his excellent research performance and international reputation. [Related Web Page] https://www.computer.org/web/tdsc/about Aims & Scope of the Journal IEEE Transactions on Dependable and Secure Computing (TDSC) publishes archival research results focusing on research into foundations, methodologies, and mechanisms that support the achievement–through design, modeling, and evaluation–of systems and networks that are dependable and secure to the desired degree without compromising performance. The focus also includes measurement, modeling, and simulation techniques, and foundations for jointly evaluating, verifying, and designing for performance, security, and dependability constraints. The IEEE Computer Society sponsors more than 200 technical conferences and events each year, including the industry-oriented "Rock Stars" series, all over the world, aimed at research and industry professionals. Our publications are peer-reviewed, indexed, and authored by technology thought leaders worldwide, and include 17 scholarly journalsand 13 magazinesfeaturing the latest technology trends

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  • Prime Minister Award

    Professor Daeyoung Kim received a Prime Minister Award for his contributions to Government Innovation, especially in public data strategies. Prof. Kim is a Professor at the KAIST School of Computing. He is also the Director of the Real-time and Embedded Systems Laboratory and the Director of Auto-ID Labs at KAIST. His research interests are Operating Systems, Wireless Network Protocols, (GPGPU) Cloud Computing, and the Internet of Things. He is actively collaborating with numerous international research groups from Universities: MIT, Stanford, Cambridge, UCL, TU Vienna, ETH Zurich, HESSO, U. of Murcia, Keio, Fudan, National Taiwan University of Science and Technology, Adelaide, University of Vale do Rio dos Sinos, Khalifa University, and King Saud University. https://www.yna.co.kr/view/PYH20181226167600013?section=search

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  • Professor Meeyoung Cha was Chosen as IBS CI(Chief ..

    The Institute of Basic Science (IBS) selected three professors, Sang-il Eom, Homin Kim, and Meeyoung Cha, to explore new areas of basic science and conduct challenging independent research. The CI system supports independent research by the research manager of global research institutions. The research manager selected as CI forms an independent research group within the Pioneer Research Center (PRC). The PRC is a IBS research group and each group will receive between 10 and 1.5 billion won in research funds for five years. Among them, Meeyoung Cha, a professor of the School of Computing, will take charge of the Data Science Research Group. She is going to conduct a Data Science Study, which is necessary to analyze and solve the problems that appear in today’s network-connected information society. Based on human-social system modeling and analysis, Prof. Cha is focusing on calculating social science that has great potential for future society. “We will contribute to society by developing important future technologies, including detection of fake news based on big data and studying artificial intelligence that is comprehensible and fair,” Prof. Cha said. http://www.edaily.co.kr/news/read?newsId=01666246619434584&mediaCodeNo=257&OutLnkChk=Y

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  • KAIST Develops Next Generation Binary Analysis Pla..

    Over the past three years, Cha Sang-gil, a professor of School of Computing of KAIST, and his students have developed B2-R2, a technique for analyzing vulnerabilities in binary code using artificial intelligence technology with Cybersecurity Research Center(Director Professor Kim Yong-dae of Electrical and Electronic Engineering). B2-R2 is a performance system of 'Automatic Reverse Engineering and Vulnerability Detection-Based Technology Development' that is a research project by the Ministry of Science and ICT that can be used in various computer security areas such as ▲software security vulnerability analysis ▲Analysis of malicious code ▲Releasing obfuscation ▲Security Patch ▲Automatic Creation of Exposure plot. Compared to the binary analysis systems developed overseas, B2-R2 system is highly utilized (available on all operating systems such as Windows, Linux, Mac, Android, iOS) and has at least 2 to 100 times the analysis speed and maximizes the ease of analysis using the latest functional language, F#, and has a variety of interfaces with 32 programming languages. Not only is it the first binary code analysis system in Korea, but it also surpasses the BAP of Carnegie Mellon University and Angr of UCSB, which lead the field. The importance of binary analysis technology, known through ‘Next Generation binary analysis platform B2-R2 Technology Explanation Conference’ on Dec. 4, has become widely known through the Cyber Grand Challenge (CGC), the world's first computer-to-computer hacking attack and defense competition hosted by the Defense Department of Defense (DARPA) in 2016. With various security threats such as malicious code, APT attack, and DDoS attack being carried out by human hackers, the competition has become a signal for the emergence of AI-based machine hackers and can be understood as a core technology to prepare for a paradigm shift for information protection of the fourth industrial revolution. Professor Cha Sang-gil is known to be the main author who designed the core engine of the CGC championship, Mayhem, which was held in the U.S. and won the title by overwhelming margin at 2018 Information Security R&D Data Challenge Auto Detect based on AI, a Korean version of the CGC, on November 30. It is known that at the center of the system used for the contest by Cha Sang-gil B2-R2 technology which he developed with KAIST students for three years. According to information protection experts, KAIST's Cha Sang-gil team has secured key technologies in the field of 'automatic detection and response of AI-based vulnerabilities' that surpasses the world's highest level through this technical briefing and domestic competitions.

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  • APLAS 2018 International Congress was chaired by P..

    The 16th APLAS (Asian Symposium on Programming Language and Systems), which KAIST supported as a Gold Sponsor, was held in Wellington, New Zealand, December 3, 2018. Professor Sukyoung Ryu, chair of the program, invited three world-renowned lecturers: Amal Ahmed (USA), Azalea Raad (MPI-SWS, Germany), and Bernard Scholes (University of Sydney, Australia), and conducted various programs including presentations of papers and poster sessions and workshops on December 2 and December 6, 2018.

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  • Won K-ICT Cloud Industry Awards

    KAIST School of Computing won the K-ICT Cloud Industry Awards(Minister’s Award) at 2018 Grand Cloud Conference held at COEX in Seoul for building and operating a cloud that is currently being utilized. It was recognized as a good example of building a cloud operating system on idle equipment and providing computing for regular course and research tasks at the same time, and applying an operating system using open-source OpenStack. On the other hand, '2018 Grand Cloud Conference' is a Cloud Conference that summarizes the achievements of South Korea's Cloud industry and shares directions for future development. This is the place to discuss introducing and converging public and private clouds.

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  • Professor Jinah Park delivered a keynote lecture a..

    Professor Jinah Park of the School of Computing at KAIST delievered a keynote lecture on the topic “Hippocampal Morphology Study based on Progressive Template Deformable Model” at the International Conference on Medical Imaging and Case Reports 2018 held in Baltimore in the U.S. from October 26 to 28, 2018. The event involved 70 people from 48 institutions in 23 countries. The event attracted many researchers who are influential in medical images and clinical studies including Dr. Marth Shenton from Harvard Medical School, Professor Polina Golland of MIT, Michael Miller and Professor Jeffery Siewerdwen of Johns Hopkins University.

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  • Top 15 Most Impactful Early Career Researchers in ..

    Professor Shin Yoo has been identified as one of the top 15 most impactful early career researchers in software engineering by a bibliographic study published in the Journal of Systems and Software in October 2018. The result is based on analysis of 14,456 papers as well as their citation counts published in top journals and conferences between 2010 and 2017. Prof. Yoo is an associate professor at the KAIST School of Computing. From 2012 to 2015, he was a lecturer of software engineering in the Centre for Research on Evolution, Search, and Testing (CREST) at the University College London, UK. Prof. Yoo received a Ph.D. in Computer Science from King’s College London, UK, in 2009. His main research interest is in Search Based Software Engineering (SBSE), specifically, the use of meta-heuristics and computational intelligence, such as genetic algorithm, to automatically solve various problems in software engineering, especially those related to testing and debugging.

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  • Professor Min H. Kim has chosen the best research ..

    Professor Min H. Kim has chosen the best research and development of 2018 top 100 Six professors from KAIST have been selected for the "Top 100 2018 state research and development" announced by the Ministry of Science and ICT and the Korea Institute for Science and Technology Planning. The winners are Il-du Kim and Byeong-gook Park at the Department of New Material Engineering, Ho-min Kim at the Graduate School of Medicine, Jae-woo Lee at the Department of Biochemistry, Min H. Kim at the School of Computing, and Kyung-chul ​ Choiat the Department of Electrical and Electronic Engineering. Professor Min H. Kim of the School of Computing was chosen for excellence in the field of information and electronics. It was recognized that he developed high-performance imaging technology to obtain high-performance images. Professor Il-du Kim was chosen as the best performance in the field of machinery and materials. It was recognized that he developed ultra-high sensitivity gas sensor platform material based on self-assembly organic complex catalyst coupling. Professor Byung-kook Park was also chosen for excellence in the machine and material fields. He has developed a material technology that obtains spin current from heat. Ho-min Kim , a professor at the medical school, was selected as the best performance in the life and ocean fields. It has established the 3rd structure and molecular warfare of core protein that controls the formation of synapses. Professor Jae-woo Lee has been chosen for excellence in energy and the environment. He was credited with developing high-value carbon-material synthesis technology. Kyung-chul Choi was chosen as the best performance in information and electronics. It was recognized that it developed a smooth display that was implemented on top of clothes. The performance selected for excellence will be awarded to the Minister of Science and ICT with a certificate and a signboard. The six selected professors will be nominated as candidates for the state-funded R&D achievement evaluation (medal, presidential citation, and the prime minister's citation) and will receive preferential treatment in the selection of new R&D projects.

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  • Top 100 R&D Achievement of 2018

    Professor Min H. Kim was selected for the “Top 100 Research and Development Projects of 2018” with five other professors at KAIST, announced by the Ministry of Science and ICT and the Korea Institute for Science and Technology Planning. His work was selected for excellence in the field of information and electronics. Prof. Kim and his team developed high-performance imaging technology to obtain high-performance images. The professors selected for excellence are awarded a certificate by the Minister of Science and ICT. The awardees were nominated as candidates through the state-funded R&D achievement evaluation and will receive preferential treatment in the selection of new R&D projects.

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  • KAIST School of Computing Professor Eun-Ho Yang a..

    "DropMax," "Adaptive Variable Softmax," "Uncertified-Aware Attachment," a joint study by Professor Yang Eun-Ho and Professor Hwang Seong-ju of the KAIST School of Computing, were published by Neural Information Processing System (NIPS) 2018 (acceptance rate:20.8 %), the world's best academic institution. The paper was published as follows: [DropMax: Adaptive Variational Softmax] In this paper, we propose techniques to improve the performance of the systeresis by applying Dropout techniques to softmax functions that are originally applied to multi-class identification. At each learning quarter, the whole class' subset is randomly sampled according to the learned Dropout probability and the discrimination is performed. There is meaning that is is a ensemble of different discriminations', and it also has the effect of making more comparisons between classes that are likely to be confused with each other. Deep Bayesian techniques enable the learning and reasoning of this probabilistic neural network. Specifically, it has been experimentally verified in this paper that inducing a Dropout mask, the probability of being a target label for each class, differently for each input instance and correctly deduplicating the values is important for improving performance, thereby enabling more reliable learning and reasoning. [Uncertainty-Aware Attention for Reliable Interpretation and Prediction] Existing in-depth neural networks cannot take into account uncertainty in the in-depth learning process of predictive models, so the learning model has the potential to predict the wrong situation, and the uncertainty present in the data and the model itself has led to false predictions. The "Uncertified-Aware Attachment for Reliable Interprevention and Prescription" paper is a way to overcome existing uncertainty problems. The "Uncertified-Aware Attachment for Reliable Interprevention and Prescription" paper is a way to overcome existing Uncertainty problems. Uncertainty-Aware Attachment Mechanism, which allows input-adaptive organic learning by identifying data and model conditions regarding uncertainty, was presented. This paper has experimentally demonstrated that, with respect to the performance of modern machine learning algorithms, the ability to interpret accurate models with corrected model predictive performance and uncertainty is outstanding through UA framework. [Joint Active Feature Acquisition and Classification with Variable-size Set Encoding] This paper addresses the question of learning policies to obtain effective information at a lower cost in situations where the cost of obtaining the necessary information in the classification (e.g., examination costs) is incurred, such as diagnosing diseases. When diagnosing patients, it is reasonable to perform the necessary tests according to the individual's condition rather than carrying out and diagnosing all the same types of tests. In this paper, it jointly learns about dynamic feature acquisition policies and classification models that determine the required information sequentially based on the information currently in place. To this end, we defined a function for the purpose of considering both the classification performance and the costs necessary to obtain information, and presented a joint learning framework for the feature acquisition policy and classification model using in-depth hardening learning. In addition, experiments using synthetic and medical data have shown that the performance is cost-effective compared to static feature acquisition methods or previous studies.

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