Publications

For an updated list, please check my Google Scholar profile.

Papers

• Hard Negative Sampling Strategies for Contrastive Representation Learning, arXiv preprint
  Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou
  paper

• Adversarial Contrastive Learning by Permuting Cluster Assignments, arXiv preprint
  Muntasir Wahed, Afrina Tabassum, Ismini Lourentzou
  paper

• Drink bleach or do what now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation, AAAI ICWSM 2022 Datasets Track
  Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai
  paper, code, poster

• Toward a general unsupervised novelty detection framework in structural health monitoring Computer‐Aided Civil and Infrastructure Engineering 2022
  Mohammad Hesam Soleimani‐Babakamali,Reza Sepasdar, Kourosh Nasrollahzadeh, Ismini Lourentzou, and Rodrigo Sarlo
  paper

• SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion CIKM 2021 Applied Research Track
  Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, Ismini Lourentzou
  paper

• Identifying False Human Papillomavirus (HPV) Vaccine Information and Corresponding Risk Perceptions From Twitter: Advanced Predictive Models Journal of Medical Internet Research (JMIR) 2021
  Tre Tomaszewski, Alex Morales, Ismini Lourentzou, Rachel Caskey, Bing Liu, Alan Schwartz, Jessie Chin
  paper, press coverage

• Chest ImaGenome Dataset for Clinical Reasoning NeurIPS 2021 Datasets and Benchmarks Track
  Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi
  paper

• TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction IEEE BIBM 2021
  Sahiti Labhishetty, Ismini Lourentzou, Michael Jeffrey Volk, Shekhar Mishra, Huimin Zhao, and Chengxiang Zhai
  paper

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray MICCAI 2021
  Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James Hendler
  paper

• DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization SIGIR 2021
  Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander Schwing
  paper

• AdaReNet: Adaptive Reweighted Semi-supervised Active Learning to Accelerate Label Acquisition PerInt@PETRA 2021
  Ismini Lourentzou, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, ChengXiang Zhai
  paper

• Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development Nature Scientific Data 2021
  Alexandros Karargyris, Kashyap Satyananda, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
  paper, code

• Biosystems Design by Machine Learning, ACS Synthetic Biology 2020
  Michael Jeffrey Volk, Ismini Lourentzou, Shekhar Mishra, Lam Tung Vo, Chengxiang Zhai, Huimin Zhao
  paper

• Adapting Sequence to Sequence models for Text Normalization in Social Media, AAAI ICWSM 2019
  Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
  paper, code, slides

• In Search of Zora/When Metadata Isn’t Enough: Rescuing the Experiences of Black Women Through Statistical Modeling, Journal Library Metadata 2019
  Nicole M Brown, Ruby Mendenhall, Michael Black, Mark Van Moer, Karen Flynn, Malaika McKee, Assata Zerai, Ismini Lourentzou, ChengXiang Zhai
  paper

• Difficult Relations: Extracting Novel Facts from Text, ISWC 2018
  Ismini Lourentzou, Anna Lisa Gentile, Daniel Gruhl, Jane Fortner, Michele Freemon, Kendra Grande
  paper, poster

• CLaDS: cloud-based virtual lab for the delivery of scalable hands-on assignments for practical data science education, ITiCSE 2018
  Chase Geigle, Ismini Lourentzou, Hari Sundaram, ChengXiang Zhai
  paper, code

• Mining relations from unstructured content, PAKDD 2018
  Ismini Lourentzou, Alfredo Alba, Anni Coden, Anna Lisa Gentile, Daniel Gruhl, Steve Welch
  paper

• Exploring the Efficiency of Batch Active Learning for Human-in-the-Loop Relation Extraction, HumL@WWW 2018
  IsminiLourentzou, Daniel Gruhl, Steve Welch
  paper, slides

• Who is Saying What on Twitter: Analysis of Messages with References to HIV & HIV Risk Behavior, Acta Investigación Psicológica 2018
  Sophie Lohmann, Ismini Lourentzou, Chengxiang Zhai, Dolores Albarracín

• Text-based Geolocation Prediction of Social Media Users with Neural Networks, IEEE Big Data 2017
  Ismini Lourentzou, Alex Morales, ChengXiang Zhai
  paper, slides, code

• Rescuing Lost History: Using Big Data to Recover Black Women’s Lived Experiences, XSDEDE 2016
  Ruby Mendenhall, Nicole Brown, Michael L Black, Mark Van Moer, Ismini Lourentzou, Karen Flynn, Malaika Mckee, Assata Zerai

• Hotspots of news articles: Joint mining of news text & social media to discover controversial points in news, IEEE Big Data 2015
  Ismini Lourentzou, Graham Dyer, Abhishek Sharma, ChengXiang Zhai
  paper, demo, code

• Automated snippet generation for online advertising, ACM CIKM 2013
  Stamatina Thomaidou, Ismini Lourentzou, Panagiotis Katsivelis-Perakis, Michalis Vazirgiannis
  paper

• IPL at CLEF 2013 Medical Retrieval Task, CLEF 2013
  Spyridon Stathopoulos, Ismini Lourentzou, Antonia Kyriakopoulou, Theodore Kalamboukis
  paper

Techincal Notes and Presentations

• Deep Learning for Social Text Mining poster at the Alibaba Technology Forum, September 2017, Seattle, WA
• Markov Games and Reinforcement Learning review for CS598RM Algorithmic Game Theory
• Belief Propagation, Robust Reconstruction and Optimal Recovery of Block Models, E. Mossel et al., COLT 2014 presentation for CS598RM Algorithmic Game Theory