Conference on Web Search and Data Mining (2020)
Workshops
- Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020 11 papers
- Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020 9 papers
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020
Preserving Privacy in Analyses of Textual Data
Tom Diethe
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Oluwaseyi Feyisetan
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine
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Gerald Penn
Calibrating Mechanisms for Privacy Preserving Text Analysis
Oluwaseyi Feyisetan
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Borja Balle
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Tom Diethe
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Thomas Drake
Privacy-Aware Personalized Entity Representations for Improved User Understanding
Levi Melnick
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Hussein Elmessilhy
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Vassilis Polychronopoulos
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Gilsinia Lopez
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Yuancheng Tu
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Omar Zia Khan
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Ye-Yi Wang
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Chris Quirk
A User-Centric and Sentiment Aware Privacy-Disclosure Detection Framework based on Multi-input Neural Network
A. K. M. Nuhil Mehdy
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Hoda Mehrpouyan
Classification of Encrypted Word Embeddings using Recurrent Neural Networks
Robert Podschwadt
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Daniel Takabi
Is It Possible to Preserve Privacy in the Age of AI?
Vijayanta Jain
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Sepideh Ghanavati
Perfectly Privacy-Preserving AI What Is It and How Do We Achieve It?
Patricia Thaine
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Gerald Penn
Hyperbolic Embeddings for Preserving Privacy and Utility in Text
Oluwaseyi Feyisetan
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Tom Diethe
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Thomas Drake
Privacy-Preserving Textual Analysis via Calibrated Perturbations
Oluwaseyi Feyisetan
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Borja Balle
Proceedings of the ACM WSDM 2020 Health Search and Data Mining Workshop, co-located with the 13th ACM International WSDM Conference, HSDM@WSDM 2020, Houston, TX, USA, February 3, 2020
Machine Learning for Healthcare: Beyond i.i.d. Prediction
Zachary C. Lipton
Applying Information Retrieval to the Electronic Health Record for Cohort Discovery and Rare Disease Detection
William R. Hersh
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes
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Dolf Trieschnigg
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Christin Seifert
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Djoerd Hiemstra
Healthcare NER Models Using Language Model Pretraining
Amogh Kamat Tarcar
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Aashis Tiwari
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Dattaraj Rao
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Vineet Naique Dhaimodker
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Penjo Rebelo
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Rahul Desai
Lung Nodule Classification Using Convolutional Autoencoder and Clustering Augmented Learning Method(CALM)
Soumya Suvra Ghosal
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Indranil Sarkar
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Issmail El Hallaoui
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data
Steve Chamberlin
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Steven Bedrick
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Aaron M. Cohen
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Yanshan Wang
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Andrew Wen
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Sijia Liu
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Hongfang Liu
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William R. Hersh
Streaming Gait Assessment for Parkinson's Disease
Cristopher Flagg
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Ophir Frieder
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Sean MacAvaney
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Gholam Motamedi
Clustering Large-scale Diverse Electronic Medical Records to Aid Annotation for Generic Named Entity Recognition
Nithin Haridas
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Yubin Kim