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2020 – today
- 2023
[j76]Yang Hu, Jasmine Huerta, Nicholas Cordella, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis
:
Personalized hypertension treatment recommendations by a data-driven model. BMC Medical Informatics Decis. Mak. 23(1): 44 (2023)- [c99]Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis:
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. ICASSP 2023: 1-2 - [c98]Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky:
On the Performance of Temporal Difference Learning With Neural Networks. ICLR 2023 - [c97]Boran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis:
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI. MICCAI (5) 2023: 768-777 - [c96]Daniel Curtis Wilson, Fatih Acun, Siddhartha Jana, Federico Ardanaz, Jonathan M. Eastep, Ioannis Ch. Paschalidis, Ayse K. Coskun:
An End-to-End HPC Framework for Dynamic Power Objectives. SC Workshops 2023: 1801-1811 - [i47]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Unconstrained Dynamic Regret via Sparse Coding. CoRR abs/2301.13349 (2023) - [i46]James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. CoRR abs/2301.13375 (2023) - [i45]Guoyao Shen, Boran Hao, Mengyu Li, Chad W. Farris, Ioannis Ch. Paschalidis, Stephan W. Anderson, Xin Zhang:
Attention Hybrid Variational Net for Accelerated MRI Reconstruction. CoRR abs/2306.12365 (2023) - [i44]Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Improving Adaptive Online Learning Using Refined Discretization. CoRR abs/2309.16044 (2023) - [i43]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR abs/2309.17371 (2023) - 2022
- [j75]Boran Hao, Yang Hu, Shahabeddin Sotudian, Zahra Zad, William G. Adams, Sabrina A. Assoumou, Heather Hsu, Rebecca Grochow Mishuris, Ioannis Ch. Paschalidis:
Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population. J. Am. Medical Informatics Assoc. 29(7): 1253-1262 (2022) - [j74]Ruidi Chen, Ioannis Ch. Paschalidis:
Robust Grouped Variable Selection Using Distributionally Robust Optimization. J. Optim. Theory Appl. 194(3): 1042-1071 (2022) - [j73]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Trans. Autom. Control. 67(11): 5900-5915 (2022) - [j72]Shahabeddin Sotudian, Ioannis Ch. Paschalidis:
Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2324-2333 (2022) - [j71]Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks. IEEE Trans. Control. Netw. Syst. 9(4): 1576-1588 (2022) - [j70]Salomón Wollenstein-Betech, Mauro Salazar, Arian Houshmand, Marco Pavone, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 23(8): 12263-12275 (2022) - [j69]Yijia Zhang, Daniel Curtis Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun:
HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance. IEEE Trans. Sustain. Comput. 7(1): 157-171 (2022) - [c95]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory. AISTATS 2022: 8458-8492 - [c94]Daniel Curtis Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Site-Wide HPC Data Center Demand Response. HPEC 2022: 1-7 - [c93]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
PDE-Based Optimal Strategy for Unconstrained Online Learning. ICML 2022: 26085-26115 - [c92]Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski:
Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. ISC2 2022: 1-7 - [c91]Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis:
Optimal Comparator Adaptive Online Learning with Switching Cost. NeurIPS 2022 - [i42]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
PDE-Based Optimal Strategy for Unconstrained Online Learning. CoRR abs/2201.07877 (2022) - [i41]Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis:
Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR abs/2203.06250 (2022) - [i40]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Optimal Parameter-free Online Learning with Switching Cost. CoRR abs/2205.06846 (2022) - [i39]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse. CoRR abs/2206.13714 (2022) - [i38]Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis:
Closing the gap between SVRG and TD-SVRG with Gradient Splitting. CoRR abs/2211.16237 (2022) - 2021
- [j68]Tingting Xu, Henghui Zhu, Ioannis Ch. Paschalidis:
Learning parametric policies and transition probability models of markov decision processes from data. Eur. J. Control 57: 68-75 (2021) - [j67]Rhoda Au, Vijaya B. Kolachalama, Ioannis Ch. Paschalidis:
Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns. Frontiers Digit. Health 3: 751629 (2021) - [c90]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. AAAI 2021: 9377-9385 - [c89]Zhiyu Zhang, Ioannis Ch. Paschalidis:
Provable Hierarchical Imitation Learning via EM. AISTATS 2021: 883-891 - [c88]Vittorio Giammarino, Ioannis Ch. Paschalidis:
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CDC 2021: 3717-3722 - [c87]Yijia Zhang, Daniel Curtis Wilson, Ioannis Ch. Paschalidis, Ayse K. Coskun:
A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC. DATE 2021: 282-287 - [c86]Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Planning Strategies for Lane Reversals in Transportation Networks. ITSC 2021: 2131-2136 - [c85]James Queeney, Yannis Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. NeurIPS 2021: 11909-11919 - [c84]Artin Spiridonoff, Alex Olshevsky, Yannis Paschalidis:
Communication-efficient SGD: From Local SGD to One-Shot Averaging. NeurIPS 2021: 24313-24326 - [i37]Zhiyu Zhang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Strongly Adaptive OCO with Memory. CoRR abs/2102.01623 (2021) - [i36]Vittorio Giammarino, Ioannis Ch. Paschalidis:
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CoRR abs/2103.12197 (2021) - [i35]Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis:
Communication-efficient SGD: From Local SGD to One-Shot Averaging. CoRR abs/2106.04759 (2021) - [i34]Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Planning Strategies for Lane Reversals in Transportation Networks. CoRR abs/2107.06937 (2021) - [i33]Ruidi Chen, Ioannis Ch. Paschalidis:
Distributionally Robust Learning. CoRR abs/2108.08993 (2021) - [i32]Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis:
Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers. CoRR abs/2109.12772 (2021) - [i31]Shahabeddin Sotudian, Ruidi Chen, Ioannis Ch. Paschalidis:
Distributionally Robust Multi-Output Regression Ranking. CoRR abs/2109.12803 (2021) - [i30]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Generalized Proximal Policy Optimization with Sample Reuse. CoRR abs/2111.00072 (2021) - 2020
- [j66]Ruidi Chen, Ioannis Ch. Paschalidis:
Distributionally Robust Learning. Found. Trends Optim. 4(1-2): 1-243 (2020) - [j65]Salomón Wollenstein-Betech, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator. Int. J. Medical Informatics 142: 104258 (2020) - [j64]Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis:
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions. J. Mach. Learn. Res. 21: 58:1-58:47 (2020) - [j63]Henghui Zhu, Hao Liu, Armin Ataei, Yonatan Munk, Thomas Daniel, Ioannis Ch. Paschalidis:
Learning from animals: How to Navigate Complex Terrains. PLoS Comput. Biol. 16(1) (2020) - [j62]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. IEEE Signal Process. Mag. 37(3): 114-122 (2020) - [j61]Ioannis Ch. Paschalidis:
Editorial The IEEE Transactions on Control of Network Systems and the Evolution of the Field. IEEE Trans. Control. Netw. Syst. 7(1): 2-5 (2020) - [c83]Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems. CDC 2020: 2573-2578 - [c82]Boran Hao, Henghui Zhu, Ioannis Ch. Paschalidis:
Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base. COLING 2020: 657-661 - [c81]Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. ITSC 2020: 1-7 - [c80]Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni:
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. ITSC 2020: 1-6 - [c79]Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Coordinated Demand Response By Data Centers Using Inverse Optimization. SmartGridComm 2020: 1-7 - [i29]Salomón Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. CoRR abs/2003.04335 (2020) - [i28]Salomón Wollenstein-Betech, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems. CoRR abs/2003.13614 (2020) - [i27]Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis:
Local SGD With a Communication Overhead Depending Only on the Number of Workers. CoRR abs/2006.02582 (2020) - [i26]Ruidi Chen, Ioannis Ch. Paschalidis:
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric. CoRR abs/2006.06090 (2020) - [i25]Ruidi Chen, Ioannis Ch. Paschalidis:
Robust Grouped Variable Selection Using Distributionally Robust Optimization. CoRR abs/2006.06094 (2020) - [i24]Salomón Wollenstein-Betech, Christian Muise, Christos G. Cassandras, Ioannis Ch. Paschalidis, Yasaman Khazaeni:
Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case. CoRR abs/2007.04916 (2020) - [i23]Zhiyu Zhang, Ioannis Ch. Paschalidis:
Provable Hierarchical Imitation Learning via EM. CoRR abs/2010.03133 (2020) - [i22]James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. CoRR abs/2012.10791 (2020)
2010 – 2019
- 2019
- [j60]Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis:
Learning Policies for Markov Decision Processes From Data. IEEE Trans. Autom. Control. 64(6): 2298-2309 (2019) - [j59]Yigao Du, Jing Wu, Shaoyuan Li, Chengnian Long, Ioannis Ch. Paschalidis:
Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems. IEEE Trans. Smart Grid 10(2): 1781-1790 (2019) - [j58]Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis, Panagiotis Andrianesis:
Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets. IEEE Trans. Smart Grid 10(5): 5794-5806 (2019) - [c78]Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo:
A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli. ACC 2019: 848-853 - [c77]Henghui Zhu, Tingting Xu, Ioannis Ch. Paschalidis:
Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes. ACC 2019: 3438-3443 - [c76]Ruidi Chen, Ioannis Ch. Paschalidis:
A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric. CDC 2019: 3655-3660 - [c75]Taiyao Wang, Ioannis Ch. Paschalidis:
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. CDC 2019: 3664-3669 - [c74]Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis:
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CDC 2019: 5113-5118 - [c73]Yijia Zhang, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees. e-Energy 2019: 285-302 - [c72]Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Data Center Demand Response Pricing Using Inverse Optimization. e-Energy 2019: 400-402 - [c71]Taiyao Wang, Ioannis Ch. Paschalidis:
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. ECC 2019: 1182-1187 - [c70]Tingting Xu, Ioannis Ch. Paschalidis:
Learning models for writing better doctor prescriptions. ECC 2019: 2454-2459 - [c69]Ruidi Chen, Ioannis Ch. Paschalidis:
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression. NeurIPS 2019: 748-758 - [i21]Taiyao Wang, Ioannis Ch. Paschalidis:
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. CoRR abs/1903.09056 (2019) - [i20]Taiyao Wang, Ioannis Ch. Paschalidis:
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. CoRR abs/1903.09235 (2019) - [i19]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. CoRR abs/1906.02702 (2019) - [i18]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
Asymptotic Network Independence in Distributed Optimization for Machine Learning. CoRR abs/1906.12345 (2019) - [i17]Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis:
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. CoRR abs/1909.00941 (2019) - 2018
- [j57]Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, Ioannis Ch. Paschalidis, Wei Shi:
Federated learning of predictive models from federated Electronic Health Records. Int. J. Medical Informatics 112: 59-67 (2018) - [j56]Ruidi Chen, Ioannis Ch. Paschalidis:
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization. J. Mach. Learn. Res. 19: 13:1-13:48 (2018) - [j55]Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo:
Neural circuits for learning context-dependent associations of stimuli. Neural Networks 107: 48-60 (2018) - [j54]Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis:
The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies. Proc. IEEE 106(4): 538-553 (2018) - [j53]Theodora S. Brisimi, Tingting Xu, Taiyao Wang, Wuyang Dai, William G. Adams, Ioannis Ch. Paschalidis:
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach. Proc. IEEE 106(4): 690-707 (2018) - [j52]Jing Zhang, Ioannis Ch. Paschalidis:
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models. IEEE Trans. Signal Process. 66(3): 589-602 (2018) - [c68]Alex Olshevsky, Ioannis Ch. Paschalidis, Artin Spiridonoff:
Fully Asynchronous Push-Sum With Growing Intercommunication Intervals. ACC 2018: 591-596 - [c67]Ruidi Chen, Ioannis Ch. Paschalidis:
A Distributionally Robust Optimization Approach for Outlier Detection. CDC 2018: 352-357 - [i16]Theodora S. Brisimi, Tingting Xu, Taiyao Wang, Wuyang Dai, William G. Adams, Ioannis Ch. Paschalidis:
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach. CoRR abs/1801.01204 (2018) - [i15]Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi:
Clinical Concept Extraction with Contextual Word Embedding. CoRR abs/1810.10566 (2018) - [i14]Ruidi Chen, Ioannis Ch. Paschalidis:
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN. CoRR abs/1811.06083 (2018) - 2017
- [j51]Ruidi Chen, Ioannis Ch. Paschalidis:
Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures. SIGMETRICS Perform. Evaluation Rev. 45(3): 174-179 (2017) - [j50]Jing Wang, Ioannis Ch. Paschalidis:
An Actor-Critic Algorithm With Second-Order Actor and Critic. IEEE Trans. Autom. Control. 62(6): 2689-2703 (2017) - [j49]Jing Wang, Ioannis Ch. Paschalidis:
Botnet Detection Based on Anomaly and Community Detection. IEEE Trans. Control. Netw. Syst. 4(2): 392-404 (2017) - [c66]Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis:
Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization. CDC 2017: 220-225 - [c65]Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo:
Feature extraction in Q-learning using neural networks. CDC 2017: 3330-3335 - [c64]Jing Zhang, Ioannis Ch. Paschalidis:
Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks. CDC 2017: 6295-6300 - [i13]Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis:
Learning Policies for Markov Decision Processes from Data. CoRR abs/1701.05954 (2017) - [i12]Jing Zhang, Ioannis Ch. Paschalidis:
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models. CoRR abs/1702.08435 (2017) - [i11]Jing Zhang, Ioannis Ch. Paschalidis:
Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks. CoRR abs/1703.04010 (2017) - [i10]Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama:
Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR abs/1705.10924 (2017) - 2016
- [j48]Theodora S. Brisimi, Christos G. Cassandras, Chris Osgood, Ioannis Ch. Paschalidis, Yue Zhang:
Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System. IEEE Access 4: 1301-1312 (2016) - [j47]Artem B. Mamonov, Mohammad Moghadasi, Hanieh Mirzaei, Shahrooz Zarbafian, Laurie E. Grove, Tanggis Bohnuud, Pirooz Vakili, Ioannis Ch. Paschalidis, Sandor Vajda, Dima Kozakov:
Focused grid-based resampling for protein docking and mapping. J. Comput. Chem. 37(11): 961-970 (2016) - [j46]Enes Bilgin, Michael C. Caramanis, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Provision of Regulation Service by Smart Buildings. IEEE Trans. Smart Grid 7(3): 1683-1693 (2016) - [c63]Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis:
The price of anarchy in transportation networks by estimating user cost functions from actual traffic data. CDC 2016: 789-794 - [c62]Tingting Xu, Theodora S. Brisimi, Taiyao Wang, Wuyang Dai, Ioannis Ch. Paschalidis:
A joint sparse clustering and classification approach with applications to hospitalization prediction. CDC 2016: 4566-4571 - [c61]Qi Zhao, Daniel Segrè, Ioannis Ch. Paschalidis:
Optimal allocation of metabolic functions among organisms in a microbial ecosystem. CDC 2016: 7063-7068 - [c60]Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis:
Learning parameterized policies for Markov decision processes through demonstrations. CDC 2016: 7087-7092 - [c59]Alyssa Pierson, Armin Ataei, Ioannis Ch. Paschalidis, Mac Schwager:
Cooperative multi-quadrotor pursuit of an evader in an environment with no-fly zones. ICRA 2016: 320-326 - [i9]Spyridon Vassilaras, Ioannis Ch. Paschalidis:
Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applicationm. CoRR abs/1605.00705 (2016) - [i8]Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis:
The Price of Anarchy in Transportation Networks by Estimating User Cost Functions from Actual Traffic Data. CoRR abs/1606.02194 (2016) - [i7]Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks. CoRR abs/1610.09580 (2016) - 2015
- [j45]Seong-Cheol Kang, Theodora S. Brisimi, Ioannis Ch. Paschalidis:
Distribution-dependent robust linear optimization with applications to inventory control. Ann. Oper. Res. 231(1): 229-263 (2015) - [j44]Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama, Ioannis Ch. Paschalidis:
Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics 84(3): 189-197 (2015) - [j43]