Conference Papers
- J. Rodriguez. "Neural network aided drone estimation in GPS-denied environments." Presented at the AIAA 2025 Region IV Student Conference, March 28–29, 2025, Dallas, TX.
- S. Pakala, D. Ahn, and E.E. Papalexakis. "Tensor Completion for Surrogate Modeling of Material Property Prediction." AAAI 2025 Bridge on Knowledge-Guided Machine Learning, February 25-26, 2025, Philadelphia, PA, USA.
- Y. Tsitsikas, and E.E. Papalexakis. "Multi-View Spectral Clustering for Graphs with Multiple View Structures." In Proceedings of the 2025 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2025. DOI: https://doi.org/10.1137/1.9781611978520.26
- S. Pakala, B. Graw, D. Ahn, T. Dinh, M.T. Mahin, V. Tsotras, J. Chen, and E.E. Papalexakis. "Automating Data Science Pipelines with Tensor Completion." 2024 IEEE International Conference on Big Data (BigData) (pp. 1075-1084), Washington DC, Dec. 2024. DOI: https://doi.org/10.1109/BigData62323.2024.10825934 .
- Y. Tsitsikas, and E.E. Papalexakis. "Multi-Graph Explorer: A Framework for Advanced Multi-Graph Analysis and Method Development." In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 5284-5288). 2024. DOI: https://doi.org/10.1145/3627673.3679213.
- D. Ahn, U.S. Saini, E.E. Papalexakis, and A. Payani. "Neural additive tensor decomposition for sparse tensors." In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 2024 Oct 21 (pp. 14-23). DOI: https://doi.org/10.1145/3627673.3679833.
- J. Chen, and E.E. Papalexakis. "Project or Factorize? A Case Study of Multiview CCA and PARAFAC2 Tensor Factorization." In Proceedings of the 58th Asilomar Conference on Signals, Systems, and Computers (pp. 1730-1734), Pacific Grove, CA, October 2024. DOI: 10.1109/IEEECONF60004.2024.10942863.
- U.S. Saini, Z. Zguang, C.M. Yeh, W. Zhang, E.E. Papalexakis. "Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification." In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) (pp. 797-805). Society for Industrial and Applied Mathematics. DOI: https://doi.org/10.1137/1.9781611978032.91.
- D. Ahn, W. Shiao, A. Khaled, A. Bauer, S. Poulis, and E.E. Papalexakis. "Compact Interpretable Tensor Graph Multi-Modal News Embeddings." In Companion Proceedings of the ACM Web Conference 2024, May 13 (pp. 847-850). DOI: https://doi.org/10.1145/3589335.3651480
- Z. Qazi, W. Shiao, and E.E. Papalexakis. "GPT-generated text detection: Benchmark dataset and tensor-based detection method." In Companion Proceedings of the ACM Web Conference 2024, May 13 (pp. 842-846). DOI: https://doi.org/10.1145/3589335.3651513.
- E. Villalobos, H. Lugo, B. Cheng, M. Gutierrez, C. Tarawneh, P. Xu, J. Chen, and E.E. Papalexakis. "Spectral Clustering in Railway Crossing Accidents Analysis." American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024. DOI: https://doi.org/10.1115/JRC2024-130028.
- E. Villalobos, C. Tarawneh, J. Chen, E.E. Papalexakis, and P. Xu. "Kernel Ridge Regression in Predicting Railway Crossing Accidents." American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024. DOI: https://doi.org/10.1115/JRC2024-130036.
- R. Gurav, Z. Shang, A. Eldawy, J. Chen, E. Scudiero, E.E. Papalexakis. "Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture." 37th Conference on Neural Information Processing Systems (NeurIPS) 2023 AI4Science Workshop, New Orleans, December 2023. ArXiv DOI: 10.48550/arXiv.2311.15138.
- Q. Lu, and R. Luna, 2023. "Adaptive Multiple Distributed Bidirectional Spiral Path Planning for Foraging Robot Swarms." Proceedings of the 2023 20th Conference on Robots and Vision (CRV), pp. 225-232. https://doi.ieeecomputersociety.org/10.1109/CRV60082.2023.00036
- V. Lopez and A. Akundi, 2023, April. "Modeling a uav surveillance scenario-an applied mbse approach." Proceedings of the 2023 IEEE International Systems Conference (SysCon) (pp. 1-8).
- B. Cheng, E.E. Papalexakis, and J. Chen, 2023. "Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results." Proceedings of the 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
- J. Diaz, L. Xu, T. Sardarmehni, 2023, February. “Open-loop optimal control for tracking a reference signal with approximate dynamic programming.” International Mechanical Engineering Congress and Exposition, https://doi.org/10.1115/IMECE2022-96769
- E. Torres, L. Xu, T. Sardarmehni, 2023, February. “Using actor-critic reinforcement learning for control and flight formation of quadrotors.” International Mechanical Engineering Congress and Exposition, https://doi.org/10.1115/IMECE2022-97224
- D. Xu, W. Shiao, J. Chen, E.E. Papalexakis. "SV-Learn: Learning Matrix Singular Values with
Neural Networks." IEEE International Conference on Data Mining Workshops (ICDM Workshops), Orlando, FL, November 2022. DOI: 10.1109/ICDMW58026.2022.00039.
- Y. Wu, U.S. Saini, J. Chen, E.E. Papalexakis. "TENALIGN: Joint Tensor Alignment and Coupled
Factorization." 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL, November 2022. DOI: 10.1109/ICDM54844.2022.00067.
- J. Chen, D. Orozco, L. Figueroa, and E.E. Papalexakis. “Unsupervised Multiview Embedding of Node Embeddings.” Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2022.
- M.M. Garcez Duarte, E.E. Papalexakis, and J. Chen. “Graph-Assisted Tensor Disaggregation.” 17th International Workshop on Mining and Learning with Graphs (MLG), Washington DC, 2022 August.
- S. Ahmed and W. Dong, 2022. “Tracking Control of UAVs with Uncertainty and Input Constraints.” Proceedings of American Control Conference.
- M. Barrera, L. Cantu, C. Tarawneh, H. Foltz, B. Wilson, and B. Porter, 2022, April. "Pilot field test of an onboard wireless condition monitoring system for railroad rolling stock." Proceedings of the ASME/IEEE Joint Rail Conference (Vol. 85758, p. V001T09A002).
- M. Amaro, C. Tarawneh, H. Foltz, R. Aguilera-Toro, and C. Peña, 2022. “Performance of a thermoelectric-based energy harvesting device on a realistic railroad route.” Proceedings of the 2022 ASME Joint Rail Conference.
- A. Akundi and V. Lopez, 2022. “A Conceptual Model based Systems Engineering Framework (MBSE) for Digital Twins.” IEEE Systems Engineering Conference.
- A. Velazquez, L. Xu, T. Sardarmehni, 2022. “Quadcopter control using single network adaptive critics." In Proceedings of the ASME International Mechanical Engineering Congress and Exposition (Vol. 86670, p. V005T07A035).
The University of Texas Rio Grande Valley
