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Ioannis Ch. Paschalidis
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2020 – today
- 2024
- [j85]Vittorio Giammarino
, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis:
Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. 32(3): 251-263 (2024) - [j84]Shahabeddin Sotudian, Ioannis Ch. Paschalidis:
ITNR: Inversion Transformer-based Neural Ranking for cancer drug recommendations. Comput. Biol. Medicine 172: 108312 (2024) - [j83]Haoxing Tian
One-Shot Averaging for Distributed TD (λ) Under Markov Sampling. IEEE Control. Syst. Lett. 8: 1541-1546 (2024) - [j82]Jingmei Yang, Kenji C. Walker, Ayse A. Bekar-Cesaretli
Automating biomedical literature review for rapid drug discovery: Leveraging GPT-4 to expedite pandemic response. Int. J. Medical Informatics 189: 105500 (2024) - [j81]Boran Hao, Yang Hu, William G. Adams, Sabrina A. Assoumou, Heather Hsu, Nahid Bhadelia, Ioannis Ch. Paschalidis:
A GPT-based EHR modeling system for unsupervised novel disease detection. J. Biomed. Informatics 157: 104706 (2024) - [j80]Yijia Zhang, Athanasios Tsiligkaridis, Ioannis Ch. Paschalidis, Ayse K. Coskun
Data center and load aggregator coordination towards electricity demand response. Sustain. Comput. Informatics Syst. 42: 100957 (2024) - [j79]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. 2024 (2024) - [j78]James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. Trans. Mach. Learn. Res. 2024 (2024) - [c104]Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Improving Adaptive Online Learning Using Refined Discretization. ALT 2024: 1208-1233 - [c103]Fatih Acun, Ioannis Ch. Paschalidis, Ayse K. Coskun:
Conductor: A Collaboration Framework for Multi-Data-Center Demand Response. IGSC 2024: 22-28 - [i59]Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan, Ioannis Ch. Paschalidis:
Smooth Ranking SVM via Cutting-Plane Method. CoRR abs/2401.14388 (2024) - [i58]Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR abs/2402.18836 (2024) - [i57]Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky:
One-Shot Averaging for Distributed TD(λ) Under Markov Sampling. CoRR abs/2403.08896 (2024) - [i56]Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li:
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. CoRR abs/2403.17338 (2024) - [i55]Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis:
Multiple-policy Evaluation via Density Estimation. CoRR abs/2404.00195 (2024) - [i54]Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR abs/2405.16668 (2024) - [i53]Arsenii Mustafin, Alex Olshevsky, Ioannis Ch. Paschalidis:
On Value Iteration Convergence in Connected MDPs. CoRR abs/2406.09592 (2024) - [i52]Arsenii Mustafin, Aleksei Pakharev, Alex Olshevsky, Ioannis Ch. Paschalidis:
MDP Geometry, Normalization and Value Free Solvers. CoRR abs/2407.06712 (2024) - [i51]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR abs/2407.12792 (2024) - [i50]Mahtab Talaei, Apostolos I. Rikos, Alex Olshevsky, Laura F. White, Ioannis Ch. Paschalidis:
Network-Based Epidemic Control Through Optimal Travel and Quarantine Management. CoRR abs/2407.19133 (2024) - [i49]Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson, Neil Bahroos, Douglas S. Bell, Cody Bumgardner, Thomas R. Campion Jr., Victor M. Castro, James J. Cimino, I. Glenn Cohen, David A. Dorr, Peter L. Elkin, Jungwei W. Fan, Todd Ferris, David J. Foran, David A. Hanauer, Mike Hogarth, Kun Huang, Jayashree Kalpathy-Cramer, Manoj Kandpal, Niranjan S. Karnik, Avnish Katoch, Albert M. Lai, Christophe G. Lambert, Lang Li, Christopher Lindsell, Jinze Liu, Zhiyong Lu, Yuan Luo, Peter McGarvey, Eneida A. Mendonça, Parsa Mirhaji, Shawn N. Murphy, John D. Osborne, Ioannis Ch. Paschalidis, Paul A. Harris, Fred W. Prior, Nicholas J. Shaheen, Nawar Shara, Ida Sim, Umberto Tachinardi, Lemuel R. Waitman, Rosalind J. Wright, Adrian H. Zai, Kai Zheng, Sandra Soo-Jin Lee, Bradley A. Malin, Karthik Natarajan, W. Nicholson Price, Rui Zhang, Yiye Zhang, Hua Xu, Jiang Bian, Chunhua Weng, Yifan Peng:
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. CoRR abs/2410.12793 (2024) - 2023
- [j77]Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov
Improved prediction of MHC-peptide binding using protein language models. Frontiers Bioinform. 3 (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) - [c102]Erhan Can Ozcan
A Stackelberg Game Approach to Control the Overall Load Consumption of a Residential Neighborhood. CDC 2023: 8495-8500 - [c101]Ruidi Chen, Boran Hao, Ioannis Ch. Paschalidis:
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers. ICASSP 2023: 1-2 - [c100]Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky:
On the Performance of Temporal Difference Learning With Neural Networks. ICLR 2023 - [c99]Boran Hao
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI. MICCAI (5) 2023: 768-777 - [c98]Haoxing Tian, Alex Olshevsky, Yannis Paschalidis:
Convergence of Actor-Critic with Multi-Layer Neural Networks. NeurIPS 2023 - [c97]Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis:
Unconstrained Dynamic Regret via Sparse Coding. NeurIPS 2023 - [c96]Daniel Curtis Wilson
An End-to-End HPC Framework for Dynamic Power Objectives. SC Workshops 2023: 1801-1811 - [i48]Zhiyu Zhang, Ashok Cutkosky
Unconstrained Dynamic Regret via Sparse Coding. CoRR abs/2301.13349 (2023) - [i47]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) - [i46]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) - [i45]Zhiyu Zhang, Heng Yang, Ashok Cutkosky, Ioannis Ch. Paschalidis:
Improving Adaptive Online Learning Using Refined Discretization. CoRR abs/2309.16044 (2023) - [i44]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR abs/2309.17371 (2023) - [i43]Haoxing Tian, Ioannis Ch. Paschalidis, Alex Olshevsky:
On the Performance of Temporal Difference Learning With Neural Networks. CoRR abs/2312.05397 (2023) - 2022
- [j75]Boran Hao, Yang Hu, Shahabeddin Sotudian, Zahra Zad, William G. Adams, Sabrina A. Assoumou, Heather Hsu
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
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Trans. Autom. Control. 67(11): 5900-5915 (2022) - [j72]Shahabeddin Sotudian
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
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
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
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
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
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
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
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
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
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
Learning from animals: How to Navigate Complex Terrains. PLoS Comput. Biol. 16(1) (2020) - [j62]Shi Pu
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
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
Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. ITSC 2020: 1-7 - [c80]Salomón Wollenstein-Betech
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
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
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. CoRR abs/2012.10791 (2020)
2010 – 2019
- 2019
- [j60]Manjesh Kumar Hanawal
Learning Policies for Markov Decision Processes From Data. IEEE Trans. Autom. Control. 64(6): 2298-2309 (2019) - [j59]Yigao Du
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
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
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
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models. CDC 2019: 3664-3669 - [c74]Salomón Wollenstein-Betech
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
Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions. ECC 2019: 1182-1187 - [c70]Tingting Xu
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
Neural circuits for learning context-dependent associations of stimuli. Neural Networks 107: 48-60 (2018) - [j54]Jing Zhang
The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies. Proc. IEEE 106(4): 538-553 (2018) - [j53]Theodora S. Brisimi
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
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
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
The price of anarchy in transportation networks by estimating user cost functions from actual traffic data. CDC 2016: 789-794 - [c62]Tingting Xu
A joint sparse clustering and classification approach with applications to hospitalization prediction. CDC 2016: 4566-4571 - [c61]Qi Zhao, Daniel Segrè
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
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
Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics 84(3): 189-197 (2015) - [j43]Jing Wang, Xu Chu Ding, Morteza Lahijanian, Ioannis Ch. Paschalidis, Calin Belta:
Temporal logic motion control using actor-critic methods. Int. J. Robotics Res. 34(10): 1329-1344 (2015) - [j42]Bing Xia, Artem B. Mamonov, Seppe Leysen, Karen N. Allen, Sergei V. Strelkov, Ioannis Ch. Paschalidis, Sandor Vajda
Accounting for observed small angle X-ray scattering profile in the protein-protein docking server cluspro. J. Comput. Chem. 36(20): 1568-1572 (2015) - [j41]Mohammad Moghadasi, Hanieh Mirzaei, Artem B. Mamonov, Pirooz Vakili, Sandor Vajda, Ioannis Ch. Paschalidis, Dima Kozakov
The Impact of Side-Chain Packing on Protein Docking Refinement. J. Chem. Inf. Model. 55(4): 872-881 (2015) - [j40]Dimitris Bertsimas, Vishal Gupta
Data-driven estimation in equilibrium using inverse optimization. Math. Program. 153(2): 595-633 (2015) - [j39]Dimitris Bertsimas, Ebrahim Nasrabadi, Ioannis Ch. Paschalidis:
Robust Fluid Processing Networks. IEEE Trans. Autom. Control. 60(3): 715-728 (2015) - [j38]Qi Zhao, Thomas Edrich, Ioannis Ch. Paschalidis:
Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit. IEEE Trans. Biomed. Eng. 62(2): 638-647 (2015) - [j37]Jing Wang, Ioannis Ch. Paschalidis:
Statistical Traffic Anomaly Detection in Time-Varying Communication Networks. IEEE Trans. Control. Netw. Syst. 2(2): 100-111 (2015) - [j36]Ioannis Ch. Paschalidis
A Message-Passing Algorithm for Wireless Network Scheduling. IEEE/ACM Trans. Netw. 23(5): 1528-1541 (2015) - [c58]Theodora S. Brisimi, Setareh Ariafar, Yue Zhang, Christos G. Cassandras
Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system. CASE 2015: 1288-1293 - [c57]Qi Zhao, Arion Stettner, Ed Reznik, Daniel Segrè
Learning cellular objectives from fluxes by inverse optimization. CDC 2015: 1271-1276 - [c56]Jing Zhang, Ioannis Ch. Paschalidis:
An improved composite hypothesis test for Markov models with applications in network anomaly detection. CDC 2015: 3810-3815 - [c55]Armin Ataei, Ioannis Ch. Paschalidis:
Quadrotor deployment for emergency response in smart cities: A robust MPC approach. CDC 2015: 5130-5135 - [i6]Jing Wang, Ioannis Ch. Paschalidis:
Robust Anomaly Detection in Dynamic Networks. CoRR abs/1503.02332 (2015) - [i5]Jing Wang, Ioannis Ch. Paschalidis:
Botnet Detection using Social Graph Analysis. CoRR abs/1503.02337 (2015) - [i4]Jing Zhang, Ioannis Ch. Paschalidis:
An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection. CoRR abs/1509.01706 (2015) - 2014
- [j35]Qi Zhao, Thomas Edrich, Ioannis Ch. Paschalidis:
Predicting and Evaluating the Effect of Bivalirudin in Cardiac Surgical Patients. IEEE Trans. Biomed. Eng. 61(2): 435-443 (2014) - [j34]Ioannis Ch. Paschalidis, Wuyang Dai, Dong Guo:
Formation Detection with Wireless Sensor Networks. ACM Trans. Sens. Networks 10(4): 55:1-55:17 (2014) - [c54]Jing Wang, Ioannis Ch. Paschalidis:
Botnet detection using social graph analysis. Allerton 2014: 393-400 - [c53]Jing Wang, Ioannis Ch. Paschalidis:
A Hessian actor-critic algorithm. CDC 2014: 1131-1136 - [c52]Feng Nan, Mohammad Moghadasi, Pirooz Vakili, Sandor Vajda
A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking. CDC 2014: 4623-4628 - [c51]Pirooz Vakili, Hanieh Mirzaei, Shahrooz Zarbafian, Ioannis Ch. Paschalidis, Dima Kozakov
Optimization on the space of rigid and flexible motions: An alternative manifold optimization approach. CDC 2014: 5825-5830 - [c50]Jing Wang, Ioannis Ch. Paschalidis:
Robust anomaly detection in dynamic networks. MED 2014: 428-433 - 2013
- [j33]Reza Moazzez Estanjini, Jing Wang, Ioannis Ch. Paschalidis:
Scheduling Mobile Nodes for Cooperative Data Transport in Sensor Networks. IEEE/ACM Trans. Netw. 21(3): 974-989 (2013) - [j32]Ronald Taylor Locke, Ioannis Ch. Paschalidis:
Model-Free Stochastic Localization of CBRN Releases. IEEE Trans. Signal Process. 61(17): 4246-4258 (2013) - [c49]Qi Zhao, Thomas Edrich, Ioannis Ch. Paschalidis:
A predictive model for the anticoagulant bivalirudin administered to cardiac surgical patients. CDC 2013: 121-126 - [c48]Jing Wang, Daniel Rossell, Christos G. Cassandras
Network anomaly detection: A survey and comparative analysis of stochastic and deterministic methods. CDC 2013: 182-187 - [c47]Mohammad Moghadasi, Dima Kozakov
A new distributed algorithm for side-chain positioning in the process of protein docking. CDC 2013: 739-744 - [c46]Hanieh Mirzaei, Elizabeth A. Villar, Scott E. Mottarella, Dmitri Beglov, Ioannis Ch. Paschalidis, Sandor Vajda
Flexible refinement of protein-ligand docking on manifolds. CDC 2013: 1392-1397 - [c45]Enes Bilgin, Michael C. Caramanis, Ioannis Ch. Paschalidis:
Smart building real time pricing for offering load-side Regulation Service reserves. CDC 2013: 4341-4348 - [c44]Ioannis Ch. Paschalidis, Fuzhuo Huang, Wei Lai:
Distributed scheduling of wireless networks: A message passing approach. MED 2013: 922-929 - [i3]Jing Wang, Daniel Rossell, Christos G. Cassandras, Ioannis Ch. Paschalidis:
Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods. CoRR abs/1309.4844 (2013) - 2012
- [j31]Reza Moazzez Estanjini, Ioannis Ch. Paschalidis:
On delay-minimized data harvesting with mobile elements in wireless sensor networks. Ad Hoc Networks 10(7): 1191-1203 (2012) - [j30]Ioannis Ch. Paschalidis, Ruomin Wu:
Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - [j29]Dimitris Bertsimas, Vishal Gupta
Inverse Optimization: A New Perspective on the Black-Litterman Model. Oper. Res. 60(6): 1389-1403 (2012) - [j28]Keyong Li, Dong Guo, Yingwei Lin, Ioannis Ch. Paschalidis:
Position and Movement Detection of Wireless Sensor Network Devices Relative to a Landmark Graph. IEEE Trans. Mob. Comput. 11(12): 1970-1982 (2012) - [c43]Mohammad Moghadasi, Dima Kozakov
A message passing approach to Side Chain Positioning with applications in protein docking refinement. CDC 2012: 2310-2315 - [c42]Hanieh Mirzaei, Dima Kozakov
A new approach to rigid body minimization with application to molecular docking. CDC 2012: 2983-2988 - [c41]Michael C. Caramanis, Ioannis Ch. Paschalidis, Christos G. Cassandras
Provision of regulation service reserves by flexible distributed loads. CDC 2012: 3694-3700 - [c40]Ronald Taylor Locke, Ioannis Ch. Paschalidis:
Stochastic localization of CBRN releases. ICASSP 2012: 2613-2616 - [c39]Xu Chu Ding, Jing Wang, Morteza Lahijanian, Ioannis Ch. Paschalidis, Calin Belta:
Temporal logic motion control using actor-critic methods. ICRA 2012: 4687-4692 - [i2]Xu Chu Ding, Jing Wang, Morteza Lahijanian, Ioannis Ch. Paschalidis, Calin Belta:
Temporal Logic Motion Control using Actor-Critic Methods. CoRR abs/1202.2185 (2012) - 2011
- [j27]Andreas Savvides, Ioannis Ch. Paschalidis, Michael C. Caramanis:
Cyber-physical systems for next generation intelligent buildings. SIGBED Rev. 8(2): 35-38 (2011) - [j26]Ioannis Ch. Paschalidis, Binbin Li:
Energy Optimized Topologies for Distributed Averaging in Wireless Sensor Networks. IEEE Trans. Autom. Control. 56(10): 2290-2304 (2011) - [j25]Reza Moazzez Estanjini, Yingwei Lin, Yingwei Li, Dong Guo, Ioannis Ch. Paschalidis:
Optimizing Warehouse Forklift Dispatching Using a Sensor Network and Stochastic Learning. IEEE Trans. Ind. Informatics 7(3): 476-486 (2011) - [c38]Ioannis Ch. Paschalidis, Wuyang Dai, Dong Guo, Yingwei Lin, Keyong Li, Binbin Li:
Posture detection with body area networks. BODYNETS 2011: 27-33 - [c37]Ioannis Ch. Paschalidis, Binbin Li, Michael C. Caramanis:
A market-based mechanism for providing demand-side regulation service reserves. CDC/ECC 2011: 21-26 - [c36]Reza Moazzez Estanjini, Xu Chu Ding, Morteza Lahijanian, Jing Wang, Calin Belta, Ioannis Ch. Paschalidis:
Least squares temporal difference actor-critic methods with applications to robot motion control. CDC/ECC 2011: 704-709 - [c35]Thomas Edrich, Gyorgy Frendl
Modeling the effects of bivalirudin in cardiac surgical patients. EMBC 2011: 120-123 - [c34]Reza Moazzez Estanjini, Ioannis Ch. Paschalidis:
Improved delay-minimized data harvesting with mobile elements in wireless sensor networks. WiOpt 2011: 49-54 - [i1]Reza Moazzez Estanjini, Xu Chu Ding, Morteza Lahijanian, Jing Wang, Calin Belta, Ioannis Ch. Paschalidis:
Least Squares Temporal Difference Actor-Critic Methods with Applications to Robot Motion Control. CoRR abs/1108.4698 (2011) - 2010
- [j24]Paris Pennesi, Ioannis Ch. Paschalidis:
A Distributed Actor-Critic Algorithm and Applications to Mobile Sensor Network Coordination Problems. IEEE Trans. Autom. Control. 55(2): 492-497 (2010) - [j23]Ioannis Ch. Paschalidis, Yin Chen:
Statistical anomaly detection with sensor networks. ACM Trans. Sens. Networks 7(2): 17:1-17:23 (2010) - [c33]Ioannis Ch. Paschalidis, Wei Lai, Fuzhuo Huang:
On distributed multiple access control for wireless sensor networks. Allerton 2010: 1597-1604 - [c32]Ioannis Ch. Paschalidis, Reza Moazzez Estanjini:
The capacity of sparse networks under controlled mobility. CDC 2010: 5610-5615
2000 – 2009
- 2009
- [j22]Ioannis Ch. Paschalidis, Wei Lai, Xiangdong Song:
Optimized Scheduled Multiple Access Control for Wireless Sensor Networks. IEEE Trans. Autom. Control. 54(11): 2573-2585 (2009) - [j21]Ioannis Ch. Paschalidis, Georgios Smaragdakis:
Spatio-temporal network anomaly detection by assessing deviations of empirical measures. IEEE/ACM Trans. Netw. 17(3): 685-697 (2009) - [j20]Ioannis Ch. Paschalidis, Dong Guo:
Robust and distributed stochastic localization in sensor networks: Theory and experimental results. ACM Trans. Sens. Networks 5(4): 34:1-34:22 (2009) - [c31]Ioannis Ch. Paschalidis, Keyong Li, Reza Moazzez Estanjini:
An actor-critic method using Least Squares Temporal Difference learning. CDC 2009: 2564-2569 - [c30]Ioannis Ch. Paschalidis, Binbin Li:
On energy optimized averaging in wireless sensor networks. CDC 2009: 3763-3768 - [c29]Michael C. Caramanis, Chang-Chen Wu, Ioannis Ch. Paschalidis:
Production planning and quality of service allocation across the supply chain in a dynamic lead time model. CDC 2009: 7137-7144 - [c28]Ioannis Ch. Paschalidis, Keyong Li, Dong Guo:
Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments. MELT 2009: 66-78 - 2008
- [j19]Yang Shen
Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes. PLoS Comput. Biol. 4(10) (2008) - [j18]Wei Lai, Ioannis Ch. Paschalidis:
Optimally balancing energy consumption versus latency in sensor network routing. ACM Trans. Sens. Networks 4(4): 21:1-21:28 (2008) - [c27]Ioannis Ch. Paschalidis, Keyong Li, Dong Guo:
Landmark-based position and movement detection of wireless sensor network devices. Allerton 2008: 7-14 - [c26]Ioannis Ch. Paschalidis, Ruomin Wu:
On robust maximum lifetime routing in wireless sensor networks. CDC 2008: 1684-1689 - [c25]Ioannis Ch. Paschalidis, Yin Chen:
Anomaly detection in sensor networks based on large deviations of Markov chain models. CDC 2008: 2338-2343 - [c24]Ioannis Ch. Paschalidis, Wei Lai, Xiangdong Song:
A Decomposition Method for Transmission Scheduling in Multi-Channel Wireless Sensor Networks. INFOCOM 2008: 2189-2197 - 2007
- [j17]Ioannis Ch. Paschalidis, Yang Shen
SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking. IEEE Trans. Autom. Control. 52(4): 664-676 (2007) - [j16]Ioannis Ch. Paschalidis, Wei Lai, David Starobinski:
Asymptotically optimal transmission policies for large-scale low-power wireless sensor networks. IEEE/ACM Trans. Netw. 15(1): 105-118 (2007) - [c23]Ioannis Ch. Paschalidis, Wei Lai, Xiangdong Song:
Optimal transmission scheduling policies for wireless sensor networks with frequency diversity. CDC 2007: 512-517 - [c22]Ioannis Ch. Paschalidis, Dong Guo:
Robust and distributed localization in sensor networks. CDC 2007: 933-938 - [c21]Yang Shen, Pirooz Vakili, Sandor Vajda
Optimizing noisy funnel-like functions on the euclidean group with applications to protein docking. CDC 2007: 4545-4550 - [c20]Paris Pennesi, Ioannis Ch. Paschalidis:
Solving sensor network coverage problems by distributed asynchronous actor-critic methods. CDC 2007: 5300-5305 - [c19]Wei Lai, Ioannis Ch. Paschalidis:
Sensor network minimal energy routing with latency guarantees. MobiHoc 2007: 199-208 - 2006
- [j15]Carmen Del Vecchio
Enforcing Service-Level Constraints in Supply Chains With Assembly Operations. IEEE Trans. Autom. Control. 51(12): 2000-2005 (2006) - [j14]Saikat Ray, Wei Lai, Ioannis Ch. Paschalidis:
Statistical location detection with sensor networks. IEEE Trans. Inf. Theory 52(6): 2670-2683 (2006) - [c18]Ioannis Ch. Paschalidis, Georgios Smaragdakis
A Large Deviations Approach to Statistical Traffic Anomaly Detection. CDC 2006: 1900-1905 - [c17]Wei Lai, Ioannis Ch. Paschalidis:
Routing through noise and sleeping nodes in sensor networks: latency vs. energy trade-offs. CDC 2006: 2716-2721 - [c16]Ioannis Ch. Paschalidis, Yang Shen, Pirooz Vakili, Sandor Vajda
Protein-protein docking with reduced potentials by exploiting multi-dimensional energy funnels. EMBC 2006: 5330-5333 - 2005
- [c15]Ioannis Ch. Paschalidis, Yang Shen, Sandor Vajda, Pirooz Vakili:
A Semi-Definite programming-based Underestimation method for global optimization in molecular docking. CDC/ECC 2005: 3675-3680 - [c14]Ioannis Ch. Paschalidis, Seong-Cheol Kang:
Robust Linear Optimization: On the benefits of distributional information and applications in inventory control. CDC/ECC 2005: 4416-4421 - [c13]Saikat Ray, Wei Lai, Ioannis Ch. Paschalidis:
Deployment optimization of sensornet-based stochastic location-detection systems. INFOCOM 2005: 2279-2289 - [c12]Ioannis Ch. Paschalidis, Wei Lai, David Starobinski:
Asymptotically optimal transmission policies for low-power wireless sensor networks. INFOCOM 2005: 2458-2469 - 2004
- [j13]Ioannis Ch. Paschalidis, Yong Liu, Christos G. Cassandras, Christos G. Panayiotou:
Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis. Ann. Oper. Res. 126(1-4): 231-258 (2004) - [j12]Ioannis Ch. Paschalidis, Chang Su, Michael C. Caramanis:
Target-pursuing scheduling and routing policies for multiclass queueing networks. IEEE Trans. Autom. Control. 49(10): 1709-1722 (2004) - [j11]Ioannis Ch. Paschalidis, Spyridon Vassilaras:
Importance sampling for the estimation of buffer overflow probabilities via trace-driven simulations. IEEE/ACM Trans. Netw. 12(5): 907-919 (2004) - [c11]Ioannis Ch. Paschalidis, Wei Lai, David Starobinski:
On maximizing the utility of uplink transmissions in sensor networks under explicit fairness constraints. CDC 2004: 1010-1015 - [c10]Ioannis Ch. Paschalidis, Saikat Ray:
Optimizing location detection services in wireless sensor networks. CDC 2004: 1478-1483 - 2003
- [j10]Ioannis Ch. Paschalidis, Yong Liu:
Large Deviations-Based Asymptotics for Inventory Control in Supply Chains. Oper. Res. 51(3): 437-460 (2003) - [c9]Ioannis Ch. Paschalidis, Chang Su, Michael C. Caramanis:
New scheduling policies for multiclass queueing networks: applications to peer-to-peer systems. CDC 2003: 1604-1609 - [c8]Michael C. Caramanis, Osman M. Anli, Ioannis Ch. Paschalidis:
Supply chain (SC) production planning with dynamic lead time and quality of service constraints. CDC 2003: 5478-5485 - [c7]Carmen Del Vecchio
Enforcing service-level constraints in supply chains with assembly operations. CDC 2003: 5490-5495 - [c6]Ioannis Ch. Paschalidis, Chang Su, Michael C. Caramanis:
Target-Pursuing Policies for Open Multiclass Queueing Networks. INFOCOM 2003: 196-206 - 2002
- [j9]Ioannis Ch. Paschalidis, Yong Liu:
Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects. IEEE/ACM Trans. Netw. 10(3): 425-438 (2002) - [c5]Ioannis Ch. Paschalidis, Young Liu:
Distributed resource allocation in multiservice communication networks using pricing. CDC 2002: 2023-2028 - 2001
- [j8]Dimitris Bertsimas, Ioannis Ch. Paschalidis:
Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems. Oper. Res. 49(1): 119-133 (2001) - [j7]Ioannis Ch. Paschalidis, Spyridon Vassilaras:
On the estimation of buffer overflow probabilities from measurements. IEEE Trans. Inf. Theory 47(1): 178-191 (2001) - [c4]Ioannis Ch. Paschalidis, Yong Liu, Christos G. Cassandras, Ping Zhang:
Threshold-based control for make-to-stock models: a synergy between large deviations and perturbation analysis. CDC 2001: 4523-4528 - [c3]Ioannis Ch. Paschalidis, Spyridon Vassilaras:
Model-based estimation of buffer overflow probabilities from measurements. SIGMETRICS/Performance 2001: 154-163 - 2000
- [j6]Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Congestion-dependent pricing of network services. IEEE/ACM Trans. Netw. 8(2): 171-184 (2000) - [c2]Ioannis Ch. Paschalidis, Yong Liu:
Large deviations-based asymptotics for inventory control in supply chains. CDC 2000: 528-533
1990 – 1999
- 1999
- [j5]Ioannis Ch. Paschalidis:
Class-specific quality of service guarantees in multimedia communication networks. Autom. 35(12): 1951-1968 (1999) - [j4]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Large deviations analysis of the generalized processor sharing policy. Queueing Syst. Theory Appl. 32(4): 319-349 (1999) - 1998
- [j3]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach. IEEE Trans. Autom. Control. 43(3): 315-335 (1998) - 1996
- [b1]Ioannis Ch. Paschalidis:
Large deviations in high speed communication networks. Massachusetts Institute of Technology, Cambridge, MA, USA, 1996 - 1995
- [j2]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Branching bandits and Klimov's problem: achievable region and side constraints. IEEE Trans. Autom. Control. 40(12): 2063-2075 (1995) - 1994
- [j1]Efstathios D. Sykas, Konstantinos M. Vlakos, Ioannis Ch. Paschalidis, Georgia Mourtzinou:
Congestion avoidance for ATM networks. Comput. Commun. 17(9): 657-662 (1994) - 1992
- [c1]Efstathios D. Sykas, Ioannis Ch. Paschalidis, Georgia Mourtzinou, Konstantinos M. Vlakos:
Congestion Avoidance in ATM Networks. INFOCOM 1992: 905-914
Coauthor Index
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