| 논문 및 연구활동 |
- 연구활동(주요논문)
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[논문]
정진홍, 이슬,
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach
, MACHINE LEARNING
, Vol.12
, pp.2333
-2347
(Oct, 2020)
- 국제학술논문지
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[논문]
이상석, 문혜원, 이슬,
Block Incremental Dense Tucker Decomposition with Application to Spatialand Temporal Analysis of Air Quality Data
, CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
, No.1
, pp.319
-336
(Dec, 2023)
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[논문]
함경표, 이슬,
Evidential meta-model for molecular property prediction
, BIOINFORMATICS
, Vol.10
, pp.1
-7
(Oct, 2023)
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[논문]
Hyeonseong Jeon, Junhak Ahn, 이슬, Sun Kim, Byunggook Na, Soona Hong, Sungroh Yoon , Daehyun Baek,
AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples
, EXPERIMENTAL AND MOLECULAR MEDICINE
, pp.1734
-1742
(Aug, 2023)
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[논문]
Jun-Gi Jang, Moonjeong Park, Jongwuk Lee, 이슬,
Large‑scale tucker Tensor factorization for sparse and accurate decomposition
, JOURNAL OF SUPERCOMPUTING
, pp.1
-31
(May, 2022)
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[논문]
Jae-woong Lee, 이슬, Hyunjung Shim, Minjin Choi, Jongwuk Lee,
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation
, KNOWLEDGE AND INFORMATION SYSTEMS
, Vol.5
, pp.1323
-1348
(Apr, 2022)
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[논문]
이슬, Chirag R. Kharangate, Daewoong Jung, Eunho Cho, Geonhee Lee , Haeun Lee, Huiun Ha , Minsoo Kang , Sun Huh , Hyoungsoon Lee,
A neural network model for free-falling condensation heat transfer in the presence of non-condensable gases
, INTERNATIONAL JOURNAL OF THERMAL SCIENCES
, pp.1
-17
(Jan, 2022)
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[논문]
이슬, Simon Lovestone, Ah Ra Do, Andrew J Saykin, Byeong C Kim, Donghe Li, Dongsoo Lee, Eunae Kim, Gyun Jee Song, Gyungah R Jun, Hoowon Kim, Immanuel Dhanasingh, Jang Jae Lee, Jee Hye Choi, Jinyeon Jo, Juhong Park, Jun Young Park, Jungsoo Gim, Kwangsik Nho, Kyu Yeong Choi, Kyungtaek Park, Lindsay A Farrer, SangYun Kim, Sanghun Lee, Sangmyung Rhee, Sarang Kang, Seula Keum, Seung Hwan Moon, Sung Haeng Lee, Sungho Won, Suparna Ghosh, Tamil Iniyan Gunasekaran, Kun Ho Lee,
A missense variant in SHARPIN mediates Alzheimer’s disease-specific brain damages
, TRANSLATIONAL PSYCHIATRY
, pp.1
-9
(Nov, 2021)
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[논문]
Haeun Lee, 이슬, Chirag R Kharangate, Chris Malone, Kenneth E Goodson, Ki Wook Jung, Madhusudan Iyengar, Mehdi Asheghi, Minsoo Kang, Hyoungsoon Lee,
An artificial neural network model for predicting frictional pressure drop in micro-pin fin heat sink
, APPLIED THERMAL ENGINEERING
, pp.117012
-117012
(Jul, 2021)
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[논문]
유재민, 이슬,
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
, LECTURE NOTES IN COMPUTER SCIENCE
, pp.143
-155
(May, 2021)
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[논문]
Hyun Kyu Shin, 이슬, 이시운, Goo Pyo Hong, Sang Hyo Lee, Ha Young Kim,
Defect-Detection Model for Underground Parking Lots Using Image Object-Detection Method
, CMC-COMPUTERS MATERIALS & CONTINUA
, Vol.3
, pp.2493
-2507
(Dec, 2020)
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[논문]
이기수, 이슬, 홍구표, 김하영, 이상효,
MultiDefectNet: Multi-Class Defect Detection of Building Façade Based on Deep Convolutional Neural Network
, SUSTAINABILITY
, Vol.22
, pp.1
-14
(Nov, 2020)
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[논문]
정진홍, 이슬,
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach
, MACHINE LEARNING
, Vol.12
, pp.2333
-2347
(Oct, 2020)
-
[논문]
오정훈, 최윤진, 이슬, 강성주, 김원지, 김주성, 박용택, 신철민, 안현주, 원성호, 이동호, 이선민, 이세정, 이혜승, 장동남, 한병우, 김나영,
Family-based exome sequencing combined with linkage analyses identifies raresusceptibility variants of MUC4 for gastriccancer
, PLoS ONE
, Vol.7
, pp.1
-17
(Jul, 2020)
- 국제학술발표
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[학술회의]
윤정노, 함경표, 이슬,
Towards Accurate and Certain Molecular Properties Prediction
, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
, pp.1621
-1624
(Oct, 2022)
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[학술회의]
유재민, 이슬,
Transition Matrix Representation of Trees with Transposed Convolutions
, The 2022 SIAM International Conference on Data Mining (SDM)
, pp.154
-162
(Apr, 2022)
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[학술회의]
손희수, 이상석, 이슬,
Cross-Attention Model for Multi-modal Bio-Signal Processing
, 2022 IEEE International Conference on Big Data and Smart Computing
, pp.43
-46
(Jan, 2022)
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[학술회의]
박진준, 이슬,
Benchmarking Deep Graph Models for Large Molecular Generation
, 2022 IEEE International Conference on Big Data and Smart Computing
, pp.114
-120
(Jan, 2022)
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[학술회의]
유재민, 이슬,
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
, The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2021
(May, 2021)
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[학술회의]
Jun-Gi Jang, Moonjeong Park, 이슬,
VeST: Very sparse tucker factorization of large-scale tensors
, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp)
(Jan, 2021)
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[학술회의]
유재민, 이슬,
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
, IEEE International Conference on Data Mining (ICDM)
(Dec, 2019)
- 국내학술발표
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[학술회의]
문혜원, 이슬,
Tensor-based Anomaly Detection and Visualization by Influence
, Korea Computer Congress (KCC 2023)
(Jun, 2023)
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[학술회의]
한상민, 이슬,
Problems and Solutions in Medical Image Segmentation
, Korea Computer Congress (KCC 2023)
(Jun, 2023)
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[학술회의]
윤정노, 이슬, 허욱,
Uncertainty-Aware Query-Document Text Classification
, Korea Computer Congress (KCC 2023)
(Jun, 2023)
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