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Projects
Recent Publications
A provably stable neural network Turing Machine with finite precision and time
Stogin, J., Mali, A. & Giles, C. L., Feb 2024, In: Information Sciences. 658, 120034.Research output: Contribution to journal › Article › peer-review
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration
Chakravorti, T., Singh, V., Rajtmajer, S., McLaughlin, M., Fraleigh, R., Griffin, C., Kwasnica, A., Pennock, D. & Lee Giles, C., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2304-2306 3 p.Research output: Contribution to journal › Conference article › peer-review
ACL-Fig: A Dataset for Scientific Figure Classification
Karishma, Z., Rohatgi, S., Puranik, K. S., Wu, J. & Lee Giles, C., 2023, In: CEUR Workshop Proceedings. 3656Research output: Contribution to journal › Conference article › peer-review
Automating document classification with distant supervision to increase the efficiency of systematic reviews: A case study on identifying studies with HIV impacts on female sex workers
Li, X., Zhang, A., Al-Zaidy, R., Rao, A., Baral, S., Bao, L. & Giles, C. L., Jun 2022, In: PloS one. 17, 6 June, e0270034.Research output: Contribution to journal › Article › peer-review
Understanding the onset of hot streaks across artistic, cultural, and scientific careers
Liu, L., Dehmamy, N., Chown, J., Giles, C. L. & Wang, D., Dec 1 2021, In: Nature communications. 12, 1, 5392.Research output: Contribution to journal › Article › peer-review
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks
Mali, A., Ororbia, A., Kifer, D. & Giles, L., 2021, In: Proceedings of Machine Learning Research. 153, p. 154-175 22 p.Research output: Contribution to journal › Conference article › peer-review
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack
Mali, A., Ororbia, A., Kifer, D. & Giles, L., 2021, In: Proceedings of Machine Learning Research. 153, p. 130-153 24 p.Research output: Contribution to journal › Conference article › peer-review
Understanding and predicting retractions of published work
Modukuri, S. A., Rajtmajer, S., Squicciarini, A. C., Wu, J. & Giles, C. L., 2021, In: CEUR Workshop Proceedings. 2831Research output: Contribution to journal › Conference article › peer-review
Design and analysis of a synthetic prediction market using dynamic convex sets
Nakshatri, N., Menon, A., Giles, C. L., Rajtmajer, S. & Griffin, C., Dec 2021, In: Results in Control and Optimization. 5, 100052.Research output: Contribution to journal › Article › peer-review
Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them
Reeves, B., Ram, N., Robinson, T. N., Cummings, J. J., Giles, C. L., Pan, J., Chiatti, A., Cho, M., Roehrick, K., Yang, X., Gagneja, A., Brinberg, M., Muise, D., Lu, Y., Luo, M., Fitzgerald, A. & Yeykelis, L., 2021, In: Human-Computer Interaction. 36, 2, p. 150-201 52 p.Research output: Contribution to journal › Article › peer-review
Ranked list fusion and re-ranking with pre-trained transformers for ARQMath lab
Rohatgi, S., Wu, J. & Giles, C. L., 2021, In: CEUR Workshop Proceedings. 2936, p. 125-132 8 p.Research output: Contribution to journal › Conference article › peer-review
Deep Learning Can Predict Laboratory Quakes From Active Source Seismic Data
Shokouhi, P., Girkar, V., Rivière, J., Shreedharan, S., Marone, C., Giles, C. L. & Kifer, D., Jun 28 2021, In: Geophysical Research Letters. 48, 12, e2021GL093187.Research output: Contribution to journal › Article › peer-review
Physics-informed deep learning for prediction of CO2 storage site response
Shokouhi, P., Kumar, V., Prathipati, S., Hosseini, S. A., Giles, C. L. & Kifer, D., Aug 2021, In: Journal of Contaminant Hydrology. 241, 103835.Research output: Contribution to journal › Article › peer-review
Guest Editorial: Scholarly Big Data
Xia, F., Giles, C. L., Liu, H. & Wang, K., Jan 1 2021, In: IEEE Transactions on Emerging Topics in Computing. 9, 1, p. 200-203 4 p., 9372350.Research output: Contribution to journal › Editorial › peer-review
An entropy metric for regular grammar classification and learning with recurrent neural networks
Zhang, K., Wang, Q. & Giles, C. L., Feb 2021, In: Entropy. 23, 1, p. 1-19 19 p., 127.Research output: Contribution to journal › Article › peer-review