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ACM International Conference on Information and Knowledge Management (2021)


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    Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021

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    Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021

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    A Closer Look at Evaluation Measures for Ordinal Quantification
    Tetsuya Sakai

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    A Privacy Framework for Hierarchical Federated Learning
    Debmalya Biswas | Krishnamurthy Vidyasankar

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    A Privacy-aware Computation Offloading Method for Virtual Reality Application
    Kai Peng | Peichen Liu | Tao Huang

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    A Review on Recent Advances in Video-based Learning Research: Video Features, Interaction, Tools, and Technologies
    Evelyn Navarrete | Anett Hoppe | Ralph Ewerth

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    A Triangulation Perspective for Search as Learning
    Nilavra Bhattacharya | Jacek Gwizdka

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    A Variational U-Net for Weather Forecasting
    Pak Hay Kwok | Qi Qi

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    A graph neural network for fuzzy Twitter graphs
    Georgios Drakopoulos | Eleanna Kafeza | Phivos Mylonas | Spyros Sioutas

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    ADOR: A New Medical Dataset for Sentiment-based IR
    Mohammad Bahrani | Thomas Roelleke

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    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

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    An Improved Method of Automated Nonparametric Content Analysis for Social Science
    Gary King | Connor Jerzak | Anton Strezhnev

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    An Intelligent Mediation Platform for Smart Contracts in Blockchain
    Irene Kafeza

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    Black-Box Adversarial Entry in Finance through Credit Card Fraud Detection
    Akshay Agarwal | Nalini K. Ratha

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    Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy
    Lian Liu | Danfeng Hong | Lianru Gao

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    Commonsense Reasoning: How do Neuro-Symbolic and Neuro-only Approaches Compare?
    Ruben Branco | António Branco | João M. Silva | João Rodrigues

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    Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading
    Jagdish Chakole | Manish P. Kurhekar

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    Domain-Specific Modeling of User Knowledge in Informational Search Sessions
    Rui Tang | Ran Yu | Markus Rokicki | Ralph Ewerth | Stefan Dietze

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    Efficient Spatio-temporal Weather Forecasting Using U-Net
    Akshay Punjabi | Pablo Izquierdo-Ayala

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    End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences
    Laura Elena Cue La Rosa | Dário Augusto Borges Oliveira | Raul Queiroz Feitosa

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    Explainable and Personalized Privacy Prediction
    Preetam Prabhu Srikar Dammu | Srinivasa Rao Chalamala | Ajeet Kumar Singh

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    FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters
    Fabian Lehmann | David Frantz | Sören Becker | Ulf Leser | Patrick Hostert

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    Graph Neural Sparsification for Hyperspectral Image Classification with Local and Global Consistency
    Haojie Hu | Minli Yao | Fang He | Fenggan Zhang

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    Histogram-based Deep Neural Network for Quantification
    Pablo González | Juan José del Coz

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    Hyperspectral Anomaly Detection based on Low-rank Structure Exploration
    Shizhen Chang | Pedram Ghamisi

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    Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones
    Behnood Rasti | Pedram Ghamisi

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    Interpretable Electronic Transfer Fraud Detection with Expert Feature Constructions
    Yu-Yen Hsin | Tian-Shyr Dai | Yen-Wu Ti | Ming-Chuan Huang

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    Interpretable and Robust Face Verification
    Preetam Prabhu Srikar Dammu | Srinivasa Rao Chalamala | Ajeet Kumar Singh | Bayya Yegnanarayana

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    Knowledge Driven Approach to Auto-Generate Digital Twins for Industrial Plants
    Amar Banerjee | Subhrojyoti C. | Barnali B. | Dhankshinamoorthy R. | Rajesh N. | Venkatesh Choppella

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    Knowledge Injection via ML-based Initialization of Neural Networks
    Lars Hoffmann | Christian Bartelt | Heiner Stuckenschmidt

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    L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals
    Arijit Ukil | Leandro Marín | Antonio J. Jara

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    Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
    Yaoming Cai | Yan Liu | Zijia Zhang | Zhihua Cai | Xiaobo Liu

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    LeQua @ CLEF 2022: A Shared Task for Evaluating Quantification Systems
    Andrea Esuli | Alejandro Moreo | Fabrizio Sebastiani

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    Machine Learning Methods for Detecting Fraud in Online Marketplaces
    Raoul Dekou | Sabljic Savo | Simon Kufeld | Diana Francesca | Ricardo Kawase

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    Machine Learning Model Development for Space Weather Forecasting in the Ionosphere
    Randa Natras | Michael Schmidt

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    Measuring Software Security Using Improved CWE Base Score
    Sabrina Mamtaz Nourin | Foteini C. Argiropoulos | George Karabatis

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    Minimising Quantifier Variance under Prior Probability Shift
    Dirk Tasche

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    Mixture Proportion Estimation in Weakly Supervised Learning
    Masashi Sugiyama

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    Multi-scale Agent-based Models in Immunology. A Short Review
    Marzio Pennisi

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    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

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    On the Impact of Features and Classifiers for Measuring Knowledge Gain during Web Search - A Case Study
    Wolfgang Gritz | Anett Hoppe | Ralph Ewerth

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    PROVENANCE: An Intermediary-Free Solution for Digital Content Verification
    Bilal Yousuf | M. Atif Qureshi | Brendan Spillane | Gary Munnelly | Oisín Carroll | Matthew Runswick | Kirsty Park | Owen Conlan | Jane Suiter

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    Pitfalls in Quantification Assessment
    Waqar Hassan | André Gustavo Maletzke | Gustavo Batista

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    Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery
    Ming Lu | Leyuan Fang | Yi Zhang

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    Powering COVID-19 Community Q&A with Curated Side Information
    Manisha Verma | Kapil Thadani | Shaunak Mishra

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    QuaPy: A Publicly Available Python-Based Software Library for Quantification
    Alejandro Moreo | Andrea Esuli | Fabrizio Sebastiani

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    Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision
    Yonghao Xu | Pedram Ghamisi

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    SURF based Security of Remote Sensing Images by Encrypted Watermark
    Uzair Aslam Bhatti | Zhaoyuan Yu | Linwang Yuan | Saqib Ali Nawaz | Mughair Aslam Bhatti

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    Solving Unconverged Learning of Pairs Trading Strategies with Representation Labeling Mechanism
    Wei-Lun Kuo | Tian-Shyr Dai | Wei-Che Chang

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    Spatiotemporal Swin-Transformer Network for Short Time Weather Forecasting
    Alabi Bojesomo | Hasan Al-Marzouqi | Panos Liatsis

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    Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge
    Jussi Leinonen

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    Syntactic Knowledge-Infused Transformer and BERT Models
    Dhanasekar Sundararaman | Vivek Subramanian | Guoyin Wang | Shijing Si | Dinghan Shen | Dong Wang | Lawrence Carin

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    The Use of the Twitter Graphs for Analysing User Emotion for Business
    Gerasimos Rompolas | Konstantina Karavoulia

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    Towards Geographical Aware Neural Networks for Geospatial Vector Data: A Case Study on Land Use and Land Cover Classification
    Marvin Mc Cutchan | Ioannis Giannopoulos

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    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

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    Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples
    Iain Rolland | Andrea Marinoni | Sivasakthy Selvakumaran

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    Utilizing UNet for the Future Weather Prediction: Weather4cast 2021
    Sungbin Choi