- Hasan Davulcu - Arizona State University
Hasan Davulcu Curriculum Vitae Brief Description: The recipient will enhance the capability U S allies and partners to detect and defend against foreign state-sponsored disinformation efforts through the development and or refinement of techniques and automated tools for identification and analysis of digital disinformation and propaganda
- Hasan Davulcu Publications
S S Yau, H Davulcu, S Mukhopadhyay, Adaptable Situation-Aware Secure Service Based Systems, Proceedings of 8th IEEE International Symposium on Object-oriented Real-time Distributed Computing (ISORC 2005), pp 308-315
- A system for ranking organizations using social scale analysis
Hasan Davulcu • Arunaba Sen • Steven Corman • Mark Woodward • Shreejay Nair • Inayah Rohmaniyah • Ali Amin Received: 20 December 2011 Revised: 4 April 2012 Accepted: 20 April 2012 Springer-Verlag 2012 Abstract In this paper, we utilize feature extraction and model-fitting techniques to process the rhetoric found in
- A System for Ranking Organizations using Social Scale Analysis
A System for Ranking Organizations using Social Scale Analysis Sukru Tikves, Sujogya Banerjee, Hamy Temkit, Sedat Gokalp, Hasan Davulcu, Arunaba Sen, Steven Corman, Mark Woodward
- A Semantic Triplet Based Story Classifier
Betul Ceran , Ravi Karad , Ajay Mandvekar , Steven R Cormanyand Hasan Davulcu School of Computing, Informatics and Decision Systems Engineering Arizona State University, Tempe, AZ 85287-8809 Email:fbetul, rkarad, amandvek, hdavulcug@asu edu yHugh Downs School of Human Communication, Arizona State University, Tempe, AZ 85287-1205
- Partitioning Signed Bipartite Graphs for Classification of Individuals . . .
Arunabha Sen, and Hasan Davulcu Arizona State University P O Box 87-8809, Tempe, AZ, 85281 USA {sujogya,kaushik sarkar,sedat gokalp,asen,hdavulcu}@asu edu Abstract In this paper, we use signed bipartite graphs to model opin-ions expressed by one type of entities (e g , individuals, organizations)
- Baum-Welch Style EM Approach on Simple Bayesian Models for Web Data . . .
Fatih Gelgi, Hasan Davulcu Department of Computer Science and Engineering Arizona State University {fagelgi, hdavulcu}@asu edu Abstract In this paper, our focus will be onweakly annotated data (WAD) which is typically generated by a (semi) automated informationextractionsystemfromtheWebdocuments The
- Analyzing Sentiment Markers Describing Radical and Counter-Radical . . .
Hasan Davulcu, Syed Toufeeq Ahmed, Sedat Gokalp Dept of Computer Science and Engineering Arizona State University, Tempe, AZ hdavulcu@asu edu, toufeeq@asu edu, sgokalp@asu edu M’hamed H Temkit, Tom Taylor Department of Mathematics Arizona State University, Tempe, AZ
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