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Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Manish Gupta

    1. Microsoft, Hyderabad, India

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    You can also search for this editor in PubMed   Google Scholar

  2. Ganesh Ramakrishnan

    1. Indian Institute of Technology Bombay, Mumbai, India

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12705)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2021.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xii
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  2. Workshop on Smart and Precise Agriculture (WSPA 2021)

    1. Front Matter

      Pages 1-1
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    2. Identification of Harvesting Year of Barley Seeds Using Near-Infrared Hyperspectral Imaging Combined with Convolutional Neural Network

      • Tarandeep Singh, Neerja Mittal Garg, S. R. S. Iyengar
      Pages 3-8

    3. Plant Leaf Disease Segmentation Using Compressed UNet Architecture

      • Mohit Agarwal, Suneet Kr. Gupta, K. K. Biswas
      Pages 9-14

  3. PAKDD 2021 Workshop on Machine Learning for MEasurement INformatics (MLMEIN 2021)

    1. Front Matter

      Pages 15-15
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    2. Hierarchical Topic Model for Tensor Data and Extraction of Weekly and Daily Patterns from Activity Monitor Records

      • Shunichi Nomura, Michiko Watanabe, Yuko Oguma
      Pages 17-30

    3. Convolutional Neural Network to Detect Deep Low-Frequency Tremors from Seismic Waveform Images

      • Ryosuke Kaneko, Hiromichi Nagao, Shin-ichi Ito, Kazushige Obara, Hiroshi Tsuruoka
      Pages 31-43Open Access

    4. Unsupervised Noise Reduction for Nanochannel Measurement Using Noise2Noise Deep Learning

      • Takayuki Takaai, Makusu Tsutsui
      Pages 44-56

    5. Classification Bandits: Classification Using Expected Rewards as Imperfect Discriminators

      • Koji Tabata, Atsuyoshi Nakumura, Tamiki Komatsuzaki
      Pages 57-69

  4. The First Workshop and Shared Task on Scope Detection of the Peer Review Articles (SDPRA 2021)

    1. Front Matter

      Pages 71-71
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    2. Overview and Insights from Scope Detection of the Peer Review Articles Shared Tasks 2021

      • Saichethan Miriyala Reddy, Naveen Saini
      Pages 73-78

    3. Scholarly Text Classification with Sentence BERT and Entity Embeddings

      • Guangyuan Piao
      Pages 79-87

    4. Domain Identification of Scientific Articles Using Transfer Learning and Ensembles

      • Adeep Hande, Karthik Puranik, Ruba Priyadharshini, Bharathi Raja Chakravarthi
      Pages 88-97

    5. Identifying Topics of Scientific Articles with BERT-Based Approaches and Topic Modeling

      • Anna Glazkova
      Pages 98-105

    6. Using Transformer Based Ensemble Learning to Classify Scientific Articles

      • Sohom Ghosh, Ankush Chopra
      Pages 106-113

  5. The First International Workshop on Data Assessment and Readiness for AI (DARAI 2021)

    1. Front Matter

      Pages 115-115
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    2. 1st International Workshop on Data Assessment and Readiness for AI

      • Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar et al.
      Pages 117-120

    3. Cooperative Monitoring of Malicious Activity in Stock Exchanges

      • Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri
      Pages 121-132

    4. Data-Debugging Through Interactive Visual Explanations

      • Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina, Dakuo Wang
      Pages 133-142

    5. Data Augmentation for Fairness in Personal Knowledge Base Population

      • Lingraj S. Vannur, Balaji Ganesan, Lokesh Nagalapatti, Hima Patel, M. N. Tippeswamy
      Pages 143-152
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Other volumes

  1. Trends and Applications in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

  4. Advances in Knowledge Discovery and Data Mining

Keywords

About this book

This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, in Delhi, India, in May 2021.

The 17 revised full papers presented were carefully reviewed and selected from a total of 39 submissions..

The five workshops were as follows:  

Workshop on Smart and Precise Agriculture (WSPA 2021) 

PAKDD 2021 Workshop on Machine Learning for Measurement Informatics (MLMEIN 2021) 

The First Workshop and Shared Task on Scope Detection of the Peer Review Articles (SDPRA 2021) 

The First International Workshop on Data Assessment and Readiness for AI (DARAI 2021) 

The First International Workshop on Artificial Intelligence for Enterprise Process Transformation (AI4EPT 2021)

Editors and Affiliations

  • Microsoft, Hyderabad, India

    Manish Gupta

  • Indian Institute of Technology Bombay, Mumbai, India

    Ganesh Ramakrishnan

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