top of page

PUBLISHED WORK

2024

  1. P. Venkit, T. Chakravorti, V. Gupta, H. Biggs, M. Srinath, K. Gouswami, S. Rajtmajer, S. Wilson. An Audit on the Perspectives and Challenges of Hallucinations in NLP. ACL Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2024. 

  2. S. Rajtmajer. "The False Promises of Application-Driven Learning: Mathematical Thinking in Today’s Rapidly Evolving Technology Landscape." Innovative Practices in Teaching Information Sciences and Technology: Further Experience Reports and Reflections. Cham: Springer Nature Switzerland, 2024. 13-21.

  3. T. Du, J. Kim, A. Squicciarini, S. Rajtmajer. Toward context-aware privacy enhancing technologies for online self-disclosure.  The 12th AAAI Conference on Human Computation and Crowdsourcing (HCOMP), October 2024. 

  4. R. Obradage, S. Rajtmajer, J. Wu. Can citations tell us about a paper's reproducibility? A case study of machine learning papers. ACM Conference on Reproducibility and Replicability (ACM REP), June 2024. Short paper.

  5. S. Koneru, J. Wu, S. Rajtmajer. Can LLMs discern evidence for scientific hypotheses? Case studies in the social sciences. Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), May 2024.

  6. X. Wang, J. Li, S. Rajtmajer. Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter. ACM Conference on Web Science (WebSci), May 2024.

  7. C. Wu, X. Wang, J. Carroll, S. Rajtmajer. Reacting to Generative AI: Insights from Student and Faculty Discussions on Reddit. ACM Conference on Web Science (WebSci), May 2024.

  8. C. Wu, T. Chakravorti, J. Carroll, S. Rajtmajer. Integrating measures of replicability into scholarly search: Challenges and opportunities. ACM Conference on Human Factors in Computing Systems (CHI), May 2024.

2023

  1. K. Lakkanige, L. Cooley-Russ, A. Wagner, S. Rajtmajer. Exploring trust and risk during online bartering interactions. Workshop on Multidisciplinary Perspectives on Human-AI Team Trust at the International Conference on Human-Agent Interaction (HAI), December 2023.

  2. S. Koneru, X. Wei, J. Wu, S. Rajtmajer. Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprints. AI4SciSci Workshop at the International Conference on Data Mining (ICDM), December 2023.

  3. J. Lee, S. Rajtmajer, E. Srivatsavaya, S. Wilson. Online Self-Disclosure, Social Support, and User Engagement During the COVID-19 Pandemic. ACM Transactions on Social Computing, September 2023.

  4. C. McClurg, A. Wagner, A. Ayub, S. Rajtmajer, H. Tyagi. Active Class Selection for Few-Shot Class-Incremental Learning. Second Conference on Lifelong Learning Agents (CoLLAs), August 2023.

  5. K. Ajayi, M. Hasan Choudhury, S. Rajtmajer, J. Wu.  A Study on Reproducibility and Replicability of Table Structure Recognition Methods. International Conference on Document Analysis and Recognition (ICDAR), August 2023.

  6. S. B. Nagaraj, S. Rajtmajer, S. Abdullah. Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Tradeoff in Speech Signal Data. The 24th INTERSPEECH Conference, August 2023.

  7. F. Jia, C. Qiu, S. Rajtmajer, A. Squicciarini. Content Sharing Design for Social Welfare in Networked Disclosure Game. The 39th Conference on Uncertainty in Artificial Intelligence (UAI), August 2023.

  8. S. Koneru, M. Smith, D. Guarrera, J. Robinson, S. Rajtmajer. The evolution of scientific literature as metastable knowledge states. PLoS ONE, July 2023.

  9. T. Chakravorti, R. Fraleigh, T. Fritton, M. McLaughlin, V. Singh, C. Griffin, A. Kwasnica, C. Pennock, C. Lee Giles and S. Rajtmajer. A prototype hybrid prediction market for estimating replicability of published work. The Second International Conference on Hybrid Human-Artificial Intelligence (HHAI), June 2023.

  10. M. Merhi, D. Lee, S. Rajtmajer. Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts. AAAI Conference on Web and Social Media (ICWSM), June 2023.

  11. T. Chakravorti, V. Singh, M. McLaughlin, R. Fraleigh, C. Griffin, A. Kwasnica, D. Pennock, C. Lee Giles and S. Rajtmajer. Artificial prediction markets present a novel opportunity for human-AI collaboration. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2023. Extended Abstract.

  12. X. Wang, J. Li, E. Srivatsavaya, S. Rajtmajer. Evidence of inter-state coordination amongst state-backed information operations. Scientific reports, 13(1), 7716, May 2023..

  13. X. Wang, M. Wu, S. Rajtmajer. From Yellow Peril to Model Minority: Asian stereotypes in social media during the COVID-19 pandemic. ACM Conference on Web Science (WebSci), April 2023.  **Best paper runner-up

2022

  1. D. Priestley, J. Staph, S. Koneru, S. Rajtmajer, A. Cwiek, S. Vervoordt, F. Hillary. Establishing ground truth in the traumatic brain injury literature: if replication is the answer, then what are the questions? Brain Communications, December 2022.

  2. C. McClurg, A. Wagner, and S. Rajtmajer. Construal Level Theory for Agent-based Planning. CEUR Workshop Proceedings. Vol. 3332. CEUR-WS, 2022. 

  3. S. Rajtmajer, T. Errington, F. Hillary. How failure to falsify in high-volume science contributes to the replication crisis. eLife, August 2022.

  4. E. Cruz Cortes, S. Rajtmajer, D. Ghosh. Structural Interventions on Automated Decision Making Systems. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), June 2022.

  5. T. Du, P. Umar, S. Rajtmajer, A. The contribution of verified accounts to self-disclosure in COVID-related Twitter conversations (short paper). International Conference on Web and Social Media (ICWSM), June 2022. 

  6. L. Salasbil, J. Wu, M. Choudhury, W. Ingram, E. Fox, S. Rajtmajer and C. Lee Giles. A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software. Sci-K @ The Web Conf, April 2022.

  7. A. Squicciarini, S. Rajtmajer, J. Semenson, P. Agarwal, Y. Gao, A. Belmonte. An extended ultimatum game for multi party access control in social networks. ACM Transactions on the Web, April 2022.

  8. S. Rajtmajer, C. Griffin, J. Wu, R. Fraleigh, L. Balaji, A. Squicciarini, A. Kwasnica, D. Pennock, M. McLaughlin, T. Fritton, N. Nakshatri, A. Menon, S.A. Modukuri, R. Nivargi, X. Wei, C.L. Giles. A synthetic prediction market for estimating confidence in published work. AAAI 2022 Demonstrations, February 2022.

 
 

2021

  1. A. Cwiek, S. Rajtmajer, B. Wyble, V. Honavar, F. Hillary. Feeding the machine: challenges to reproducible predictive modeling in resting-state connectomics. Network Neuroscience, October 2021.

  2. N. Nakshatri, A. Menon, C. Lee Giles, S. Rajtmajer, C. Griffin. Design and analysis of a synethetic prediction market using dynamic convex sets. Results in Control and Optimization, September 2021.

  3. P. Umar, C. Akiti, A. Squicciarini, S. Rajtmajer. Self-disclosure on Twitter during the COVID-19 pandemic: A network perspective.  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), September 2021.

  4. J. Lee, S. Rajtmajer, E. Srivatsavaya, S. Wilson. Digital inequality through the lens of self-disclosure. Proceedings on Privacy Enhancing Technologies (PoPETS), July 2021.

  5. T. Blose, P. Umar, A. Squicciarini, S. Rajtmajer. A study of self-disclosure during the Coronavirus pandemic. First Monday 26(7), July 2021.

  6. S. Lanka, S. Rajtmajer, J. Wu, C. Lee Giles. Extraction and evaluation of statistical information from social and behavioral science papers. Workshop on Scientific Knowledge (Sci-K) at The Web Conference, April 2021.

  7. S. Modukuri, S. Rajtmajer, A. Squicciarini, J. Wu, C. Lee Giles. Understanding and predicting retractions of published work. AAAI-21 Workshop on Scientific Document Understanding (AAAI SDU), February 2021. 

2020

  1. P. Umar, A. Squicciarini, S. Rajtmajer. A Study of Self-Privacy Violations in Online Public Discourse. IEEE Big Data, December 2020.

  2. A. Squicciarini, S. Rajtmajer, P. Umar, T. Blose. A Tipping Point? Heightened self-disclosure during the Coronavirus Pandemic. IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI), December 2020.

  3. C. Grady, S. Rajtmajer, L. Dennis. When smart systems fail: the ethics of cyber-physical critical infrastructure risk. IEEE Symposium on Technology and Society (IEEE ISTAS), November 2020.

  4. L. Dennis, S. Rajtmajer, C. Grady. Analyzing cyber-physical threats to Pennsylvania dams through a lens of vulnerability. IEEE Symposium on Technology and Society (IEEE ISTAS), November 2020.

  5. J. Wu, P. Wang, X. Wei, S. Rajtmajer, C. Lee Giles, C. Griffin. Accurate Acknowledgement Entity Recognition in CORD-19 Papers. Workshop on Scholarly Document Processing and Shared Tasks at The Conference on Empirical Methods in Natural Language Processing (SDP @ EMNLP), November 2020. 

  6. C. Akiti, S. Rajtmajer, A. Squicciarini. A Semantics-based Approach to Disclosure Classification in User-Generated Online Content. Findings of The Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.

  7. M. Gomez, S. Garcia, S. Rajtmajer, C. Grady, A. Mejia. Fragility of a Multilayer Network of Intrantaional Supply Chains. Applied Network Science, September 2020.

  8. S. Rajtmajer and D. Susser. Automated Influence and the Challenge of Cognitive Security. ACM Symposium on the Science of Security (ACM HoTSoS), February 2020.

  9. C. Akiti, S. Rajtmajer, A. Squicciarini. Contextual Representation of Self-Disclosure and Supportivenss in Short Text. Shared Task Paper. The AAAI-20 Workshop on Affective Content Analysis (AAAI AFFCON), January 2020. 

2019

  1. H. Zhong, H. Li, A. Squicciarini, S. Rajtmajer, D. Miller. Toward Image Privacy Classification and Spatial Attribution of Private Content. IEEE International Conference on Big Data, December 2019. 

  2. S. Garcia, S. Rajtmajer, C. Grady, P. Mohammadpour, A. Mejia. Performance of a Multiplex Commodity Flow Network in the United States Under Disturbance. International Conference on Complex Networks and their Applications (Complex Networks), December 2019.

  3. C. Qiu, A. Squicciarini, S. Rajtmajer. Rating Mechanisms for Sustainability of Crowdsourcing Platforms. ACM Conference on Information and Knowledge Management (CIKM), November 2019.

  4. C. Griffin, S. Rajtmajer, P. Umar, A. Squicciarini. Power Law Public Goods Game for Personal Information Sharing in News Commentaries. Conference on Decision and Game Theory for Security (GAMESEC), October 2019. 

  5. P. Umar, A. Squicciarini, S. Rajtmajer. Detection and Analysis of Self-Disclosure in Online News Commentaries. The Web Conference (WWW), May 2019.

  6. C. Griffin, S. Rajtmajer, A. Squicciarini, A. Belmonte. Consensus and Information Cascades in Game-Theoretic Imitation Dynamics with Static and Dynamic Network Topologies. SIAM Journal on Applied Dynamical Systems (SIADS), April 2019.

2018 and earlier

  1. A. Squicciarini, S. Rajtmajer, N. Zannone. Multi-Party Access Control: Requirements, State of the Art and Open Challenges. Symposium on Access Control Models and Technologies (SACMAT). June 2018.

  2. N. Gilbert, R. Bernier, V. Calhoun, E. Brenner, E. Grossner, S. Rajtmajer and F. Hillary. Diminished Neural Network Dynamics after Moderate and Severe Traumatic Brain Injury. PLoS One, June 2018. 

  3. J. Semonsen, C. Griffin, A. Squicciarini, S. Rajtmajer. Opinion Dynamics in the Presence of Increasing Agreement Pressure. IEEE Transactions on Cybernetics. February 2018. 

  4. S. Rajtmajer, A. Squicciarini, J. Such, J. Semonsen, and A. Belmonte. An Ultimatum Game Model for the Evolution of Privacy in Jointly Managed Content. Conference on Decision and Game Theory for Security (GAMESEC), October 2017.

  5. C. Qiu, A. Squicciarini, S. Rajtmajer and J. Caverlee. Dynamic Contract Design for Heterogeneous Workers in Crowdsourcing for Quality Control. International Conference on Digital Society (IEEE ICDS), July 2017.

  6. A. Squicciarini, S. Rajtmajer and C. Griffin. Positive and Negative Behavioral Analysis in Social Networks. WIRE Data Mining and Knowledge Discovery, May 2017.

  7. J. Semonsen, C. Griffin, A. Squicciarini, and S. Rajtmajer. Consensus on Social Graphs under Increasing Peer Pressure (Extended Abstract). International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2017.

  8. H. Zhong, H. Li, A. Squicciarini, S. Rajtmajer, C. Griffin, D. Miller and C. Caragea. Content- Driven Detection of Cyberbullying on the Instagram Social Network. International Conference on Artificial Intelligence (IJCAI), July 2016.

  9. C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for Deindividuation and Antinormative Behavior in Online Social Networks. Social Network Analysis and Mining (SNAM), January 2016.

  10. C. Griffin, S. Rajtmajer, and A. Squicciarini.  A Model of Paradoxical Privacy Behavior (Invited paper). International Conference on Collaboration and Internet Computing (IEEE CIC), October 2016.

  11. A. Tyagi, A. Squicciarini, S. Rajtmajer, C. Griffin. An In-Depth Study of Peer Influence on Collective Decision Making for Multi-party Access Control (Invited Paper). International Conference on Information Reuse and Integration (IEEE ICI), July 2016.

  12. S. Rajtmajer, C. Griffin and A. Squicciarini. Constrained Social-Energy Minimization for Multi- Party Sharing in Online Social Networks. International Conference on Autonomous and Multiagent Systems (AAMAS), Singapore, May 2016.

  13. S. Rajtmajer, C. Griffin and A. Squicciarini. Determining a Discrete Set of Site-Constrained Privacy Options for Users in Social Networks through Stackelberg Games. Conference on Decision and Game Theory for Security (GAMESEC), London, UK, November 2015.

  14. C. Liao, A. Squicciarini, C. Griffin and S. Rajtmajer. A Hybrid Epidemic Model for the Spread of Abusive Content in Online Social Sites. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015. 

  15. A. Squicciarini, S. Rajtmajer, Y. Liu and C. Griffin. Identification and Characterization of Cyberbullying Dynamics in an Online Social Network. In Proc. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), August 2015. 

  16. S. Rajtmajer, C. Griffin, D. Mikesell and A. Squicciarini. An Evolutionary Game Model for the Spread of Non-Cooperative Behavior in Online Social Networks. In Proc. 30th ACM Symposium on Applied Computing, April 2015.

  17. S. Rajtmajer, A. Roy, R. Albert, P. Molenaar and F. Hillary. A Voxelwise Approach to Determine Consensus Regions-of-Interest for the Study of Brain Network Plasticity. Frontiers in Neuroanatomy, July 2015. 

  18. F. Hillary, N. Castellanos, R. Bajo and S. Rajtmajer. Hyperconnectivity as a Common Neural Response to Neurological Disorder. Neuropsychology, January 2015.

  19. U. Venkatesan, S. Rajtmajer and F. Hillary. Connectivity modeling and neuroplasticity after trauma. In Plasticity of Cognition in Neurologic Disorders. Oxford University Press, January 2015.

  20. F. Hillary, S. Rajtmajer, C. Roman, J. Medaglia, J. Slocomb, D. Good and G. Wylie. The Rich Get Richer: Brain Injury Elicits Hyperconnectivity in Core Subnetworks. PLoS One, August 2014. 

  21. C. Griffin, A. Squicciarini, S. Rajtmajer, M. Tentilucci and S. Lin. Site-Constrained Privacy Options for Users in Social Networks through Stackelberg Games. In Proc. Sixth ASE International Conference on Social Computing, May 2014.

  22. D. Bein, B. Madan, S. Phoha, S. Rajtmajer and A. Rish. Dynamic Data-Driven Sensor Network Adaptation

  23. for Border Control. In Proc. SPIE Defense, Security and Sensing, April 2013.

  24. S. Rajtmajer, B. Smith and S. Phoha. Non-Negative Sparse Autoencoder Neural Networks for the Detection of Overlapping, Hierarchical Communities in Networked Datasets. Chaos, December 2012. 

  25. S. Rajtmajer and D. Vukicevic. A Note on the Estrada Communicability Algorithm for Community Structure Detection in Complex Networks. Applied Mathematics and Computation, December 2010. 

  26. D. Vukicevic, S. Rajtmajer and N. Trinajstic. Trees with Maximal Second Zagreb Index and Prescribed Number of Vertices of Given Degree. MATCH Communications in Mathematical and Computer Chemistry, January 2008. 

  27. D. Vukicevic, J. Sedlar and S. Rajtmajer. A Graph-Theoretical Method for the Partial Ordering of Alkanes. Croatica Chemica Acta 80: 169-179, February 2007. 

​

bottom of page