Robot link and contact surface dynamic interaction: An experimental study of contact task instability. - James K. Mills; Yuri A. Lawryshyn (J. Field Robotics, 1997)

A new rank dependent utility approach to model risk averse preferences in portfolio optimization. - Leili Javanmardi; Yuri A. Lawryshyn (Ann. Oper. Res., 2016)

Using managerial revenue and cost estimates to value early stage real option investments. - Sebastian Jaimungal; Yuri A. Lawryshyn (Ann. Oper. Res., 2017)

New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework. - Yuri A. Lawryshyn; Mikael Collan; Pasi Luukka; Mario Fedrizzi (Expert Syst. Appl., 2017)

A Statistical Performance Analysis of Graph Clustering Algorithms. - Pierre Miasnikof; Alexander Y. Shestopaloff; Anthony J. Bonner; Yuri A. Lawryshyn (WAW, 2018)

A Statistical Density-Based Analysis of Graph Clustering Algorithm Performance. - Pierre Miasnikof; Alexander Y. Shestopaloff; Anthony J. Bonner; Yuri A. Lawryshyn; Panos M. Pardalos (CoRR, 2019)

Distances on a Graph. - Pierre Miasnikof; Alexander Y. Shestopaloff; Leonidas S. Pitsoulis; Alexander Ponomarenko; Yuri A. Lawryshyn (COMPLEX NETWORKS (1), 2020)

Optimal inventory policy through dual sourcing. - Matthew Davison 001; Yuri A. Lawryshyn; Volodymyr Miklyukh (Comput. Manag. Sci., 2020)

A density-based statistical analysis of graph clustering algorithm performance. - Pierre Miasnikof; Alexander Y. Shestopaloff; Anthony J. Bonner; Yuri A. Lawryshyn; Panos M. Pardalos; Ernesto Estrada (J. Complex Networks, 2020)

Graph Clustering Via QUBO and Digital Annealing. - Pierre Miasnikof; Seo Hong; Yuri A. Lawryshyn (CoRR, 2020)

Graph Distances and Clustering. - Pierre Miasnikof; Alexander Y. Shestopaloff; Leonidas S. Pitsoulis; Yuri A. Lawryshyn (CoRR, 2020)

Market Graph Clustering Via QUBO and Digital Annealing. - Seo Hong; Pierre Miasnikof; Roy Kwon; Yuri A. Lawryshyn (CoRR, 2020)

Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

Implicit Feedback Deep Collaborative Filtering Product Recommendation System. - Karthik Raja Kalaiselvi Bhaskar; Deepa Kundur; Yuri A. Lawryshyn (CoRR, 2020)

Energy-based Surprise Minimization for Multi-Agent Value Factorization. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

Risk analysis of an underground gas storage facility using a physics-based system performance model and Monte Carlo simulation. - Zaki Syed; Yuri A. Lawryshyn (Reliab. Eng. Syst. Saf., 2020)

Neural Network Architecture and Transient Evoked Otoacoustic Emission (TEOAE) Biometrics for Identification and Verification. - Jin Sung Kang; Yuri A. Lawryshyn; Dimitrios Hatzinakos (IEEE Trans. Inf. Forensics Secur., 2020)

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2021)

Deep learning-aided runtime opcode-based Windows malware detection. - Enes Sinan Parildi; Dimitrios Hatzinakos; Yuri A. Lawryshyn (Neural Comput. Appl., 2021)

Statistical Network Similarity. - Pierre Miasnikof; Alexander Y. Shestopaloff; Cristián Bravo; Yuri A. Lawryshyn (COMPLEX NETWORKS (2), 2022)

Subclass Knowledge Distillation with Known Subclass Labels. - Ahmad Sajedi; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (IVMSP, 2022)

Surprise Minimizing Multi-Agent Learning with Energy-based Models. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (NeurIPS, 2022)

Statistical network isomorphism. - Pierre Miasnikof; Alexander Y. Shestopaloff; Cristián Bravo; Yuri A. Lawryshyn (CoRR, 2022)

Empirical Study of Graph Spectra and Their Limitations. - Pierre Miasnikof; Alexander Y. Shestopaloff; Cristián Bravo; Yuri A. Lawryshyn (COMPLEX NETWORKS (1), 2023)

A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. - Ahmad Sajedi; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICASSP, 2023)

DataDAM: Efficient Dataset Distillation with Attention Matching. - Ahmad Sajedi; Samir Khaki; Ehsan Amjadian; Lucy Z. Liu; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICCV, 2023)

Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data. - Jinhong Wu; Konstantinos N. Plataniotis; Lucy Z. Liu; Ehsan Amjadian; Yuri A. Lawryshyn (Algorithms, 2023)

ATOM: Attention Mixer for Efficient Dataset Distillation. - Samir Khaki; Ahmad Sajedi; Kai Wang 036; Lucy Z. Liu; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (CVPR Workshops, 2024)

Data-to-Model Distillation: Data-Efficient Learning Framework. - Ahmad Sajedi; Samir Khaki; Lucy Z. Liu; Ehsan Amjadian; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ECCV (43), 2024)

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. - Ahmad Sajedi; Samir Khaki; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICASSP, 2024)

Assisting humans in complex comparisons: automated information comparison at scale. - Truman Yuen; Graham A. Watt; Yuri A. Lawryshyn (CoRR, 2024)

Hedging American Put Options with Deep Reinforcement Learning. - Reilly Pickard; Finn Wredenhagen; Julio DeJesus; Mario Schlener; Yuri A. Lawryshyn (CoRR, 2024)

Optimizing Deep Reinforcement Learning for American Put Option Hedging. - Reilly Pickard; Finn Wredenhagen; Yuri A. Lawryshyn (CoRR, 2024)

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. - Yining Wang; Jinman Zhao; Yuri A. Lawryshyn (CoRR, 2024)

A clusterability test for directed graphs. - Mario R. Guarracino; Pierre Miasnikof; Alexander Y. Shestopaloff; Houyem Demni; Cristián Bravo; Yuri A. Lawryshyn (CoRR, 2025)