Graph-based Methods for Efficient, Interpretable and Reliable Machine Learning.
PhD thesis, 2024
HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Balancing Fairness and Accuracy for Predictive Models in Criminal Justice Applications Using Multi-Objective Optimization Methods.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024
Towards Interpretable, Attention-Based Crime Forecasting.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Dynamically Reconfigurable Perception using Dataflow Parameterization of Channel Attention.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
VR-PRUNE: Decidable Variable-Rate Dataflow for Signal Processing Systems.
IEEE Trans. Signal Process., 2022
EADTC: An Approach to Interpretable and Accurate Crime Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Decidable Variable-Rate Dataflow for Heterogeneous Signal Processing Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Asynchronous filtering for 2-D switched systems with missing measurements.
Multidimens. Syst. Signal Process., 2019
Output reachable set estimation for discrete-time switched systems with persistent dwell-time.
J. Frankl. Inst., 2019