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Maciej Rysz
Maciej Rysz
Department of Information Systems and Analytics, Miami University
Verified email at miamioh.edu
Title
Cited by
Cited by
Year
Finding clique clusters with the highest betweenness centrality
M Rysz, FM Pajouh, EL Pasiliao
European Journal of Operational Research 271 (1), 155-164, 2018
232018
On risk-averse maximum weighted subgraph problems
M Rysz, M Mirghorbani, P Krokhmal, EL Pasiliao
Journal of Combinatorial Optimization 28 (1), 167-185, 2014
212014
Reliability analysis of carbon nanotubes using molecular dynamics with the aid of grid computing
S Xiao, S Wang, J Ni, R Briggs, M Rysz
Journal of Computational and Theoretical Nanoscience 5 (4), 528-534, 2008
92008
Identifying risk-averse low-diameter clusters in graphs with stochastic vertex weights
M Rysz, FM Pajouh, P Krokhmal, EL Pasiliao
Annals of Operations Research 262 (1), 89-108, 2018
72018
New approach to visual servo control using terminal constraints
SS Mehta, C Ton, M Rysz, Z Kan, EA Doucette, JW Curtis
Journal of the Franklin Institute 356 (10), 5001-5026, 2019
62019
Detecting resilient structures in stochastic networks: A two‐stage stochastic optimization approach
M Rysz, PA Krokhmal, EL Pasiliao
Networks 69 (2), 189-204, 2017
62017
A scenario decomposition algorithm for stochastic programming problems with a class of downside risk measures
M Rysz, A Vinel, P Krokhmal, EL Pasiliao
INFORMS Journal on Computing 27 (2), 416-430, 2015
62015
A risk-averse optimization approach to human-robot collaboration in robotic fruit harvesting
MW Rysz, SS Mehta
Computers and Electronics in Agriculture 182, 106018, 2021
42021
On achieving bounded harvest times in robotic fruit harvesting: A finite-time visual servo control approach
SS Mehta, C Ton, M Rysz, P Ganesh, Z Kan, TF Burks
IFAC-PapersOnLine 52 (30), 114-119, 2019
42019
A Two-stage Stochastic Optimization Approach for Detecting Structurally Stable Clusters in Randomly Changing Graphs
M Rysz, SS Mehta
IEEE Transactions on Network Science and Engineering ( Early Access ), 2018
32018
An integer programming formulation of the key management problem in wireless sensor networks
G Xu, A Semenov, M Rysz
Optimization Letters 14 (5), 1037-1051, 2020
22020
Finite-time visual servo control for robotic fruit harvesting in the presence of fruit motion
SS Mehta, MW Rysz, P Ganesh, TF Burks
2020 ASABE Annual International Virtual Meeting, 1, 2020
22020
Homography augumented momentum constrastive learning for SAR image retrieval
S Park, M Rysz, KM Dipple, PM Pardalos
arXiv preprint arXiv:2109.10329, 2021
12021
Synthetic-Aperture Radar image based positioning in GPS-denied environments using Deep Cosine Similarity Neural Networks
S Park, M Rysz, KL Fair, PM Pardalos
Inverse Problems & Imaging 15 (4), 763, 2021
12021
Risk-averse optimization for improving harvesting efficiency of autonomous systems through human collaboration
M Rysz, P Ganesh, TF Burks, SS Mehta
IFAC-PapersOnLine 52 (30), 207-212, 2019
12019
Minimum-Risk Maximum Clique Problem
M Rysz, PA Krokhmal, EL Pasiliao
Dynamics of Information Systems: Algorithmic Approaches, 251-267, 2013
12013
Diversity in news recommendations using contextual bandits
A Semenov, M Rysz, G Pandey, G Xu
Expert Systems with Applications 195, 116478, 2022
2022
SAR data applications in earth observation: An overview
A Tsokas, M Rysz, PM Pardalos, K Dipple
Expert Systems with Applications, 117342, 2022
2022
Control Techniques in Robotic Harvesting
S Mehta, M Rysz
Fundamentals of Agricultural and Field Robotics, 213-238, 2021
2021
Neural network analysis on the effect of heat fluxes on greenhouse gas emissions from anaerobic swine waste treatment lagoon
N Lovanh, J Loughrin, M Rysz, Q Quintanar, BT Oh, R Mahmood
ASABE 1st Climate Change Symposium: Adaptation and Mitigation Conference …, 2015
2015
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