IGI's Portal

Robotics, Intelligent Vehicles, and Computer Vision
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      • Deep Learning for Diabetic Retinopathy Assessment
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      • Deep Learning-Based Retinal Vessel Segmentation for Embedded System
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Institusi

  • Universitas Gadjah Mada (UGM)
  • Jurusan Teknik Elektro dan Teknologi Informasi, UGM
  • Toyohashi University of Technology (TUT)

Tautan Sahabat

  • Blog Sunu Wibirama
  • Blog DIP-WARIOR
  • Blog Lukito Edi Nugroho
  • Blog Igi Ardiyanto (tulisan bebas)

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Recent Activities

  • 2020/08/03: Dr. Igi was certified by AWS Cloud Practitioner, with Validation Number P656JB91PN4QQFCS
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  • 2019/07/06: Dr. Igi went to National Taipei University of Technology untuk Collaborative research in Big Data Analytics
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  • 2018/11/24: Dr. Igi gave training on Deep Learning for Visual Inspection at PT Musashi Auto Parts Indonesia
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  • 2018/11/24: Dr. Igi gave two days training on Machine Learning with Python, in collaboration with PT Floataway Systems
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  • 2018/08/30 : Dr. Igi attended NVIDIA AI Technology Center (NVAITC) Symposium, Singapore
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  • 2017/11/06 : We receive NVIDIA GPU Grant !!!
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  • 2017/04/22 : Our paper on Deep Learning for Diabetic Retinopathy was accepted for publication in The 39th International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2017)
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  • 2017/03/03 : Our paper on Deep Learning for Road Segmentation was invited and accepted for publication in IPSJ Transactions on Computer Vision and Applications, Springer.
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  • 2017/02/27 :Our paper on Generalized Coverage Problem was accepted for publication in International Journal of Innovative Computing, Information and Control (Q1 Scimago).
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  • 2017/02/13 : Our paper on Deep Learning for Road Segmentation was accepted for MVA 2017 in Nagoya.
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  • 2015/08/25 : I have finished the public presentation for my doctoral degree.
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  • 2015/06/04 : I have finished the preliminary presentation for my doctoral degree.
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  • 2015/05/21 : I attended The 14th IAPR Conference on Machine Vision and Application, Tokyo and presented a paper "Human Motion Prediction Considering Environmental Context".
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