Publications

  • "Toward a Robust Crowd Labeling Framework using Expert Ansaf 11/26/2017 1_undersubmission.pdf Evaluation and Pairwise Comparison." Under review.

  • Press: Columbia medicine article: S. Conova, Why Mothers Deliver Early And How To Stop It. Columbia Medicine Magazine Volume 35 No. 2, 2016. Link
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  • Ilia Vovsha, Ansaf Salleb­Aouissi, Anita Raja, Axinia Radeva, Ashwath Rajan, Alex Rybchuk, Thomas Koch, Yiwen Huang, Hatim Diab, Ashish Tomar, and Ronald Wapner. Model Selection and Non­linear Kernels for Prediction of Preterm Birth
    Proceedings of Machine Learning Research 56:55­72, Presented at the 1st Machine Learning for Healthcare Conference, August 19­20, 2016, Los Angeles, CA.

  • Faiza Khan Khattak, Ansaf Salleb-Aouissi, Anita Raja, Accurate Crowd-labeling using Item Response Theory, presented as a poster at Collective Intelligence, NYU Stern, June 2016 Poster.

  • Faiza Khan Khattak, Toward a Robust and Universal Crowd-labeling Framework. In IJCAI Doctoral Consortium 2016.

  • Faiza Khan Khattak, Ansaf Salleb-Aouissi, An Item Response Theory (IRT) Like Approach to Crowd-labeling, In Workshop for Women in Machine Learning (WiML 2015) held in conjunction with Neural Information Processing Systems (NIPS), Montreal, Canada. 2015.
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  • Ilia Vovsha, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Ashwath Rajan, Alex Rybchuk, Thomas Koch, Yiwen Huang, Hatim Diab, Ashish Tomar, and Ronald Wapner. Model Selection and Non-linear Kernels for Prediction of Preterm Birth, Submitted.

  • Faiza Khan Khattak, Ansaf Salleb-Aouissi, Anita Raja, Crowd-labelers as Students: An Item Response Theory (IRT) Approach to Crowd-labeling, Under preparation for a May 31st submission.

  • Faiza Khan Khattak, Ansaf Salleb-Aouissi, A Tour Through Crowd-labeling, Submitted to XRDS The ACM Magazine for Students
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  • Faiza Khan Khattak, Ansaf Salleb-Aouissi, Toward a Robust Crowd-labeling Framework using Expert Evaluation and Pairwise Comparison, Submitted to Special Track on Human Computation and AI. Journal of Artificial Intelligence Research (JAIR). 


  • CING -- Diving into a Large Corpus of Pediatric Notes
    The Office of the Executive Vice President for Research, Research Social Hour March 30, 2015. Poster.

  • Ilia Vovsha, Ashwath Rajan, Ansaf Salleb-Aouissi, Anita Raja, Axinia Radeva, Hatim Diab, Ashish Tomar and Ronald Wapner Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual \ Wellness
    AAAI Spring Symposium – Big Data Becomes Personal: Knowledge into Meaning - For Better Health, Wellness and Well-Being., 2014. Paper

  • Faiza Khan Khattak and Ansaf Salleb-Aouissi. Robust Crowd Labeling using Little Expertise. In the Proceedings of the Sixteenth International Conference on Discovery Science DS 2013, LNAI 8140, pp. 94-109, 2013. Paper

  • Ilia Vovsha, Ansaf Salleb-Aouissi, Axinia Radeva, Hatim Diab, Ashish Tomar, Anita Raja, Ronald Wapner, Mary McCord, Tara Randis. Machine Learning Approaches for Prediction of Preterm Birth
    "IDSE Inaugural Symposium - From Big Data to Big Ideas" Friday April 5, 2013. Poster
    Abstract

  • Ilia Vovsha, Ansaf Salleb-Aouissi, Axinia Radeva, Hatim Diab, Ashish Tomar, Anita Raja. Data pre-processing for the preterm prediction study

  • Ansaf Salleb-Aouissi, Axinia Radeva, Rebecca Passonneau, Ashish Tomar, David Waltz, Mary McCord, Harriet McGurk, Noemie Elhadad A Perspective on Understanding Infantile Colic In NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, British Columbia, Canada. http://www.cs.uwaterloo.ca/~dlizotte/nips10_workshop/accepted/

  • Ansaf Salleb-Aouissi, Axinia Radeva, Rebecca Passonneau, Boyi Xie, Faiza Khan Khattak, Ashish Tomar, David Waltz, Mary McCord, Harriet McGurk, and Noemie Elhadad. Diving into a Large Corpus of Pediatric Notes. ICML 2011 Learning from Unstructured Clinical Text Workshop Bellevue, WA, USA, July 2, 2011. http://sites.google.com/site/learnclinicalfreetext/proceedings

  • Faiza Khan Khattak and Ansaf Salleb-Aouissi. Improving Crowd Labeling through Expert Evaluation. Appeared at the 2012 AAAI Symposium on the Wisdom of the Crowd. http://www.aaai.org/ocs/index.php/SSS/SSS12/paper/viewPaper/4338

  • Faiza Khan Khattak and Ansaf Salleb-Aouissi. Quality Control of Crowd Labeling through Expert Evaluation. NIPS 2nd Workshop on Computational Social Science and the Wisdom of Crowds, Granada, Spain. 2011. http://people.cs.umass.edu/~wallach/workshops/nips2011css/papers/Khattak.pdf