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Seung-Cheol Lee
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2020 – today
- 2024
- [j7]Seung-Cheol Lee
, Dong-Gun Lee
, Yeong-Seok Seo
:
Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection. Appl. Intell. 54(2): 1219-1246 (2024) - [i4]Ankan Mullick, Akash Ghosh, G. Sai Chaitanya, Samir Ghui, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction. CoRR abs/2401.09839 (2024) - 2023
- [c5]Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials. AAAI 2023: 7323-7331 - [c4]Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysMMNet: Multimodal Representation for Crystal Property Prediction. UAI 2023: 507-517 - [i3]Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. CoRR abs/2301.05852 (2023) - [i2]Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly:
CrysMMNet: Multimodal Representation for Crystal Property Prediction. CoRR abs/2307.05390 (2023) - 2022
- [j6]Seung-Cheol Lee
, Yong Hun Jang, Chang-Hyeon Park, Yeong-Seok Seo:
Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model. J. Inf. Process. Syst. 18(5): 650-664 (2022) - [c3]Ankan Mullick, Shubhraneel Pal, Tapas Nayak, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
Using Sentence-level Classification Helps Entity Extraction from Material Science Literature. LREC 2022: 4540-4545 - 2021
- [j5]Anup Kumar Mandia
, Bhaskaran Muralidharan
, Jung-Hae Choi
, Seung-Cheol Lee
, Satadeep Bhattacharjee
:
AMMCR: Ab initio model for mobility and conductivity calculation by using Rode Algorithm. Comput. Phys. Commun. 259: 107697 (2021) - [j4]Krishnamohan G. Prasanna
, Rahul Sunil, Kapil Gupta, Seung-Cheol Lee
:
DJMol: An open-source modeling platform for computational chemistry and materials science with a Python interpreter. J. Comput. Chem. 42(29): 2116-2129 (2021) - 2020
- [j3]Sk. Arif Ahmed
, Debi Prosad Dogra
, Samarjit Kar, Renuka Patnaik, Seung-Cheol Lee, Heeseung Choi
, Gi Pyo Nam
, Ig-Jae Kim:
Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Trans. Intell. Transp. Syst. 21(8): 3457-3468 (2020) - [i1]Souradip Guha, Jatin Agrawal, Swetarekha Ram, Seung-Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal:
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature. CoRR abs/2009.06819 (2020)
2010 – 2019
- 2018
- [j2]Sudipta Kundu, Satadeep Bhattacharjee
, Seung-Cheol Lee, Manish Jain
:
PASTA: Python Algorithms for Searching Transition stAtes. Comput. Phys. Commun. 233: 261-268 (2018) - 2010
- [j1]Seung-Cheol Lee, Vineet Rawat, Jin-Fa Lee:
A hybrid finite/boundary element method for periodic structures on non-periodic meshes using an interior penalty formulation for Maxwell's equations. J. Comput. Phys. 229(13): 4934-4951 (2010)
2000 – 2009
- 2008
- [c2]Seung-Cheol Lee, Eun-Ju Lee, Wongil Choi, Ung-Mo Kim:
Extracting Temporal Behavior Patterns of Mobile User. NCM (2) 2008: 455-462 - 2007
- [c1]Juryon Paik, Junghyun Nam, Seung-Cheol Lee, Ung-Mo Kim:
A Framework for Data Structure-Guided Extraction of XML Association Rules. International Conference on Computational Science (3) 2007: 709-716
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last updated on 2024-04-24 23:16 CEST by the dblp team
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