CIKMW2021
CIKM 2021 Workshops

Table of Contents

• Preface
  Summary: There were 95 papers submitted for peer-review to the workshops. Out of these, 56 papers were accepted for this volume.

International Workshop on Modelling Uncertainty in the Financial World (MUFin21)

• Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection
  Akshay Agarwal, Nalini Ratha
  
• Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading
  Jagdish Chakole, Manish Kurhekar
• Interpretable Electronic Transfer Fraud Detection with Expert Feature Constructions
  Yu-Yen Hsin, Tian-Shyr Dai, Yen-Wu Ti, Ming-Chuan Huang
• Solving Unconverged Learning of Pairs Trading Strategies with Representation Labeling Mechanism
  Wei-Lun Kuo, Tian-Shyr Dai, Wei-Che Chang

2nd Workshop on Investigating Learning During Web Search (IWILDS'21)

• A Triangulation Perspective for Search as Learning
  Nilavra Bhattacharya, Jacek Gwizdka
  
• On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study
  Wolfgang Gritz, Anett Hoppe, Ralph Ewerth
  
• A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies
  Evelyn Navarrete, Anett Hoppe, Ralph Ewerth
  
• Domain-Specific Modeling of User Knowledge in Informational Search Sessions
  Rui Tang, Ran Yu, Markus Rokicki, Ralph Ewerth, Stefan Dietze
  

4th Workshop on Knowledge-driven Analytics and Systems Impacting Human Quality of Life (KDAH-CIKM-2021)

• L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals
  Arijit Ukil, Leandro Marin, Antonio J. Jara
  
• ADOR: A New Medical Dataset for Sentiment-based IR
  Mohammad Bahrani, Thomas Roelleke
• PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
  Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Mathew Runswick, Kirsty Park, Own Conlan, Jane Suiter
• Knowledge Driven Approach to Auto-Generate Digital Twins for Industrial Plants
  Amar B., Subhrojyoti C., Barnali B., Dhankshinamoorthy R., Rajesh N., Venkatesh C.

1st Workshop on Complex Data Challenges in Earth Observation (CDCEO'21)

• Towards Very-Low Latency Storm Nowcasting through AI-Based On-Board Satellite Data Processing
  Robert Hinz, Álvaro Morón, Juan Ignacio Bravo, Murray Kerr, Cecilia Marcos, Antonio Latorre, Francisco Membibre
  
• Hyperspectral Anomaly Detection based on Low-rank Structure Exploration
  Shizhen Chang, Pedram Ghamisi
  
• Towards Geographical Aware Neural Networks for Geospatial Vector Data: A Case Study on Land Use and Land Cover Classification
  Marvin Mc Cutchan, Ioannis Giannopoulos
  
• Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision
  Yonghao Xu, Pedram Ghamisi
  
• Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples
  Iain Rolland, Andrea Marinoni, Sivasakthy Selvakumaran
  
• On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis
  Catherine Taelman, Saloua Chlaily, Eduard Khachatrian, Fons van der Sommen, Andrea Marinoni
  
• Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency
  Haojie Hu, Minli Yao, Fang He, Fenggan Zhang
  
• Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones
  Behnood Rasti, Pedram Ghamisi
  
• Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery
  Ming Lu, Leyuan Fang, Yi Zhang
  
• Machine Learning Model Development for Space Weather Forecasting in the Ionosphere
  Randa Natras, Michael Schmidt
  
• Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
  Yaoming Cai, Yan Liu, Zijia Zhang, Zhihua Cai, Xiaobo Liu
  
• FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters
  Fabian Lehmann, David Frantz, Sören Becker, Ulf Leser, Patrick Hostert
  
• Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy
  Lian Liu, Danfeng Hong, Lianru Gao
  
• End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences
  Laura E. Cué La Rosa, Dário A. Borges Oliveira, Raul Queiroz Feitosa
  
• Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge
  Jussi Leinonen
  
• Utilizing UNet for the Future Weather Prediction: Weather4cast 2021
  Sungbin Choi
  
• A Variational U-Net for Weather Forecasting
  Pak Hay Kwok, Qi Qi
  
• Efficient Spatio-temporal Weather Forecasting Using U-Net
  Akshay Punjabi, Pablo Izquierdo-Ayala
  
• Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting
  Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis
  

• The Weather4cast Competition 2021
  

1st Workshop on Knowledge Injection in Neural Networks (KINN)

• Knowledge Injection via ML-based Initialization of Neural Networks
  Lars Hoffmann, Christian Bartelt, Heiner Stuckenschmidt
  
• Syntactic Knowledge-Infused Transformer and BERT Models
  Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
• Commonsense Reasoning: How do Neuro-Symbolic and Neuro-only Approaches Compare?
  Ruben Branco, António Branco, João Silva, João Rodrigues
  
• Powering COVID-19 Community Q&A with Curated Side Information
  Manisha Verma, Kapil Thadani, Shaunak Mishra
  

Workshop on Multi-Omics Data Integration for Modelling Biological Systems (MODIMO)

• An Entropy Heuristic to Optimize Decision Diagrams for Index-driven Search in Biological Graph Databases
  Nicola Licheri, Elvio Amparone, Vincenzo Bonnici, Rosalba Giugno, Marco Beccuti
  
• Multi-scale Agent-based Models in Immunology. A Short Review
  Marzio Pennisi
  

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

• SURF based Security of Remote Sensing Images by Encrypted Watermark
  Uzair Aslam Bhatti, Zhaoyuan Yu, Linwang Yuan, Saqib Ali Nawaz, Mughair Aslam Bhatti
  
• Machine Learning Methods for Detecting Fraud in Online Marketplaces
  Raoul Dekou, Sabljic Savo, Simon Kufeld, Diana Francesca, Ricardo Kawase
• Measuring Software Security Using Improved CWE Base Score
  Sabrina Mamtaz Nourin, Foteini C. Argiropoulos, George Karabatis
  
• A Privacy Framework for Hierarchical Federated Learning
  Debmalya Biswas, Krishnamurthy Vidyasankar
  
• Interpretable and Robust Face Verification
  Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh, Yegnanarayana Bayya
  
• Explainable and Personalized Privacy Prediction
  Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh
  
• A Privacy-aware Computation Offloading Method for Virtual Reality Application
  Kai Peng, Peichen Liu, Tao Huang
  

First International Workshop on Learning to Quantify: Methods and Applications (LQ 2021)

• Mixture Proportion Estimation in Weakly Supervised Learning
  Masashi Sugiyama
• An Improved Method of Automated Nonparametric Content Analysis for Social Science
  Gary King, Connor Jerzak, Anton Strezhnev

• A Closer Look at Evaluation Measures for Ordinal Quantification
  Tetsuya Sakai
  
• Minimising Quantifier Variance under Prior Probability Shift
  Dirk Tasche
• Pitfalls in Quantification Assessment
  Waqar Hassan, André Maletzke, Gustavo Batista

• Histogram-based Deep Neural Network for Quantification
  Pablo González, Juan José del Coz
• QuaPy: A Publicly Available Python-Based Software Library for Quantification
  Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
• LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems
  Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani

International Workshop on Transforms in Behavioral and Affective Computing (THECOG2021)

• A graph neural network for fuzzy Twitter graphs
  Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Spyros Sioutas
• The Use of the Twitter Graphs for Analysing User Emotion for Business
  Gerasimos Rompolas, Konstantina Karavoulia
• An Intelligent Mediation Platform for Smart Contracts in Blockchain
  Irene Kafeza