I. Paschalidis

发表

Optimization of multiclass queuing networks: polyhedral and nonlinear characterizations of achievable performance

John N. Tsitsiklis, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 1994 .

Congestion-dependent pricing of network services

John N. Tsitsiklis, Ioannis Ch. Paschalidis, J. Tsitsiklis, 2000, TNET.

On the large deviations behavior of acyclic networks of $G/G/1$ queues

J. Tsitsiklis, D. Bertsimas, I. Paschalidis, 1998 .

Asymptotic Buuer Overrow Probabilities in Multiclass Multiplexers: an Optimal Control Approach 1

J. Tsitsiklis, D. Bertsimas, I. Paschalidis, 1996 .

Asymptotic buffer overflow probabilities in multiclass multiplexers : part I : the GPS policy

John N. Tsitsiklis, Ioannis Ch. Paschalidis, Decision Systems., 1996 .

Branching bandits and Klimov's problem: achievable region and side constraints

J. Tsitsiklis, D. Bertsimas, I. Paschalidis, 1995, IEEE Trans. Autom. Control..

A Distributed Actor-Critic Algorithm and Applications to Mobile Sensor Network Coordination Problems

Ioannis Ch. Paschalidis, Paris Pennesi, I. Paschalidis, 2010, IEEE Transactions on Automatic Control.

Branching bandits and Klimov's problem: achievable region and side constraints

J. Tsitsiklis, D. Bertsimas, I. Paschalidis, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Large deviations analysis of the generalized processor sharing policy

John N. Tsitsiklis, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 1999, Queueing Syst. Theory Appl..

Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach

John N. Tsitsiklis, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 1998, IEEE Trans. Autom. Control..

A Robust Approach to Markov Decision Problems with Uncertain Transition Probabilities

Seong-Cheol Kang, I. Paschalidis, 2008 .

Federated learning of predictive models from federated Electronic Health Records

Wei Shi, Ioannis Ch. Paschalidis, Theodora S. Brisimi, 2018, Int. J. Medical Informatics.

Demand-Side Management for Regulation Service Provisioning Through Internal Pricing

M. Caramanis, I. Paschalidis, Binbin Li, 2012, IEEE Transactions on Power Systems.

Provable Hierarchical Imitation Learning via EM

I. Paschalidis, Zhiyu Zhang, 2020, AISTATS.

Early prediction of level-of-care requirements in patients with COVID-19

I. Paschalidis, G. Velmahos, B. Hao, 2020, eLife.

I T ] 2 M ay 2 01 6 Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applications

I. Paschalidis, S. Vassilaras, 2018 .

Outlier detection using distributionally robust optimization under the Wasserstein metric

I. Paschalidis, Ruidi Chen, 2017 .

Supply Chain Production Planning Modeling Facility Lead Time and Quality of Service

O. M. Anli, M. Caramanis, I. Paschalidis, 2005 .

Encounter complexes and dimensionality reduction in protein–protein association

Dima Kozakov, Dmitri Beglov, Sandor Vajda, 2014, eLife.

Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions

C. Cassandras, I. Paschalidis, S. Wollenstein-Betech, 2020, medRxiv.

Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil

C. Cassandras, I. Paschalidis, J. L. Fleck, 2020, PloS one.

Predicting diabetes-related hospitalizations based on electronic health records

Theodora S. Brisimi, Taiyao Wang, Wuyang Dai, 2018, Statistical methods in medical research.

A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric

I. Paschalidis, Ruidi Chen, 2017, 1706.02412.

Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study

I. Paschalidis, Ye Yuan, Taiyao Wang, 2020, JMIR medical informatics.

Mapping the landscape of metabolic goals of a cell

Ioannis Ch. Paschalidis, Ed Reznik, Daniel Segrè, 2016, Genome Biology.

SUPPLY CONTRACTS WITH SERVICE LEVEL REQUIREMENTS 1

C. D. Vecchio, I. Paschalidis, 2022 .

Prescriptive analytics for reducing 30-day hospital readmissions after general surgery

M. L. Li, D. Bertsimas, I. Paschalidis, 2020, PloS one.

Activities Vice-President FABRIZIO DABBENE

F. Dabbene, T. Parisini, I. Paschalidis, 2012 .

PDE-Based Optimal Strategy for Unconstrained Online Learning

Ashok Cutkosky, Ioannis Paschalidis, Zhiyu Zhang, 2022, ArXiv.

Optimal Parameter-free Online Learning with Switching Cost

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2022, ArXiv.

Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory

Ioannis Ch. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2021, 2102.01623.

Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit

I. Paschalidis, T. Edrich, Qi Zhao, 2014 .

J un 2 01 9 A NON-ASYMPTOTIC ANALYSIS OF NETWORK INDEPENDENCE FOR DISTRIBUTED STOCHASTIC GRADIENT DESCENT

I. Paschalidis, 2019 .

A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent

I. Paschalidis, Alexander Olshevsky, Shi Pu, 2019, ArXiv.

PDE-Based Optimal Strategy for Unconstrained Online Learning

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2022, ICML.

Optimal Parameter-free Online Learning with Switching Cost

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2022, ArXiv.

Congestion { Dependent Pricing of On-line InternetServices 1

J. Tsitsiklis, I. Paschalidis, 1999 .

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse

C. Cassandras, I. Paschalidis, James Queeney, 2022, ArXiv.

IEEE Transactions on Control of Network Systems

Naomi Ehrich Leonard, Karl Henrik Johansson, Bruno Sinopoli, 2018, IEEE Transactions on Control of Network Systems.

The impact of payer status on hospital admissions: evidence from an academic medical center

I. Paschalidis, Yanying Zhao, Jianqiang Hu, 2021, BMC Health Services Research.

Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach

I. Paschalidis, V. Kolachalama, R. Au, 2022, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Development and validation of predictive models for COVID-19 outcomes in a safety-net hospital population

I. Paschalidis, Shahabeddin Sotudian, Yang Hu, 2022, J. Am. Medical Informatics Assoc..

Joint Data-Driven Estimation of Origin–Destination Demand and Travel Latency Functions in Multiclass Transportation Networks

C. Cassandras, I. Paschalidis, Chuangchuang Sun, 2022, IEEE Transactions on Control of Network Systems.

Optimal Comparator Adaptive Online Learning with Switching Cost

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2022, NeurIPS.

Prediction of representative phenotypes using multi-output subset selection

I. Paschalidis, D. Segrè, Taiyao Wang, 2022, bioRxiv.

Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task

M. Hasselmo, I. Paschalidis, C. Stern, 2022, 2203.06250.

IEEE Transactions on Control of Network Systems

Naomi Ehrich Leonard, P. Kumar, D. Joseph, 2020, IEEE Transactions on Control of Network Systems.

Distribution-dependent robust linear optimization with applications to inventory control

Theodora S. Brisimi, Seong-Cheol Kang, I. Paschalidis, 2013, Annals of Operations Research.

Social determinants of health and the prediction of missed breast imaging appointments

I. Paschalidis, C. LeBedis, Shahabeddin Sotudian, 2022, BMC Health Services Research.

Optimizing Lane Reversals in Transportation Networks to Reduce Traffic Congestion

C. Cassandras, I. Paschalidis, S. Wollenstein-Betech, 2022, SSRN Electronic Journal.

Closing the gap between SVRG and TD-SVRG with Gradient Splitting

I. Paschalidis, Alexander Olshevsky, Arsenii Mustafin, 2022, 2211.16237.

Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation

Lucas C. Carstensen, I. Paschalidis, Michael Hasselmo, 2022, IFAC-PapersOnLine.

A least squares temporal difference actor–critic algorithm with applications to warehouse management

Ioannis Ch. Paschalidis, Keyong Li, Reza Moazzez Estanjini, 2012 .

Network anomaly detection: A survey and comparative analysis of stochastic and deterministic methods

Jing Wang, Christos G. Cassandras, Ioannis Ch. Paschalidis, 2013, 52nd IEEE Conference on Decision and Control.

Learning Policies for Markov Decision Processes From Data

Hao Liu, Ioannis Ch. Paschalidis, Manjesh Kumar Hanawal, 2017, IEEE Transactions on Automatic Control.

Learning parameterized policies for Markov decision processes through demonstrations

Ioannis Ch. Paschalidis, Henghui Zhu, Hao Liu, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models

Ioannis Ch. Paschalidis, Jing Zhang, I. Paschalidis, 2017, IEEE Transactions on Signal Processing.

Distribution-dependent robust linear optimization with applications to inventory control

Seong-Cheol Kang, Ioannis Ch. Paschalidis, Theodora S. Brisimi, 2015, Ann. Oper. Res..

Data-driven estimation in equilibrium using inverse optimization

Vishal Gupta, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 2013, Mathematical Programming.

Optimized Scheduled Multiple Access Control for Wireless Sensor Networks

Ioannis Ch. Paschalidis, Wei Lai, Xiangdong Song, 2009, IEEE Transactions on Automatic Control.

Informative predictors of pregnancy after first IVF cycle using eIVF practice highway electronic health records

I. Paschalidis, S. Mahalingaiah, Tingting Xu, 2022, Scientific Reports.

Detection of dementia on voice recordings using deep learning: a Framingham Heart Study

I. Paschalidis, V. Kolachalama, R. Au, 2021, Alzheimer's research & therapy.

A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2018, J. Mach. Learn. Res..

Botnet detection using social graph analysis

Jing Wang, Ioannis Ch. Paschalidis, I. Paschalidis, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Botnet Detection Based on Anomaly and Community Detection

Jing Wang, Ioannis Ch. Paschalidis, I. Paschalidis, 2017, IEEE Transactions on Control of Network Systems.

Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions

Christos G. Cassandras, Ioannis Ch. Paschalidis, Salomón Wollenstein-Betech, 2020, International Journal of Medical Informatics.

Designing Metabolic Division of Labor in Microbial Communities

Taiyao Wang, Daniel Segrè, Meghan Thommes, 2018, mSystems.

Heparin requirements for full anticoagulation are higher for patients on dabigatran than for those on warfarin – a model-based study

I. Paschalidis, T. Edrich, G. Frendl, 2015, Clinical pharmacology : advances and applications.

Improved cluster ranking in protein–protein docking using a regression approach

P. Vakili, I. Paschalidis, S. Vajda, 2021, Computational and structural biotechnology journal.

Protein docking refinement by convex underestimation in the low-dimensional subspace of encounter complexes

I. Paschalidis, S. Vajda, D. Kozakov, 2018, Scientific Reports.

Focused grid‐based resampling for protein docking and mapping

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2016, J. Comput. Chem..

Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes

Ioannis Ch. Paschalidis, Yang Shen, Sandor Vajda, 2008, PLoS Comput. Biol..

Improved Predictions of MHC-Peptide Binding using Protein Language Models

P. Vakili, I. Paschalidis, S. Vajda, 2022, bioRxiv.

Unconstrained Dynamic Regret via Sparse Coding

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2023, ArXiv.

Prediction of hospitalization due to heart diseases by supervised learning methods

Venkatesh Saligrama, Ioannis Ch. Paschalidis, Theodora S. Brisimi, 2015, Int. J. Medical Informatics.

SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking

Ioannis Ch. Paschalidis, Yang Shen, Sandor Vajda, 2007, IEEE Transactions on Automatic Control.

An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test.

I. Paschalidis, V. Kolachalama, R. Au, 2021, Journal of Alzheimer's disease : JAD.

Energy Optimized Topologies for Distributed Averaging in Wireless Sensor Networks

Ioannis Ch. Paschalidis, Binbin Li, I. Paschalidis, 2011, IEEE Transactions on Automatic Control.

On energy optimized averaging in wireless sensor networks

Ioannis Ch. Paschalidis, Binbin Li, I. Paschalidis, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Statistical Traffic Anomaly Detection in Time-Varying Communication Networks

Jing Wang, Ioannis Ch. Paschalidis, I. Paschalidis, 2015, IEEE Transactions on Control of Network Systems.

Statistical Traffic Anomaly Detection in

Ioannis Ch. Paschalidis, Jing Wang, I. Paschalidis, 2015 .

Robust anomaly detection in dynamic networks

Jing Wang, Ioannis Ch. Paschalidis, I. Paschalidis, 2014, 22nd Mediterranean Conference on Control and Automation.

Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measures

G. Smaragdakis, I.C. Paschalidis, I. Paschalidis, 2009, IEEE/ACM Transactions on Networking.

A Large Deviations Approach to Statistical Traffic Anomaly Detection

I.Ch. Paschalidis, G. Smaragdakis, I. Paschalidis, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

The Impact of Side-Chain Packing on Protein Docking Refinement

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2015, J. Chem. Inf. Model..

A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2014, 53rd IEEE Conference on Decision and Control.

A new distributed algorithm for side-chain positioning in the process of protein docking

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2013, 52nd IEEE Conference on Decision and Control.

A message passing approach to Side Chain Positioning with applications in protein docking refinement

Ioannis Ch. Paschalidis, Mohammad Moghadasi, Dima Kozakov, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Personalized hypertension treatment recommendations by a data-driven model

I. Paschalidis, Yang Hu, R. Mishuris, 2023, BMC Medical Informatics and Decision Making.

Distributionally Robust Learning

Ruidi Chen, Ioannis Ch. Paschalidis, I. Paschalidis, 2021, Found. Trends Optim..

Cooperative multi-quadrotor pursuit of an evader in an environment with no-fly zones

Ioannis Ch. Paschalidis, Mac Schwager, Alyssa Pierson, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base

Henghui Zhu, Ioannis Paschalidis, Boran Hao, 2020, COLING.

Optimal Operations Management of Mobility-on-Demand Systems

C. Cassandras, I. Paschalidis, S. Wollenstein-Betech, 2021, Frontiers in Sustainable Cities.

Quadrotor deployment for emergency response in smart cities: A robust MPC approach

Ioannis Ch. Paschalidis, Armin Ataei-Esfahani, I. Paschalidis, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

An Actor-Critic Algorithm With Second-Order Actor and Critic

Jing Wang, Ioannis Ch. Paschalidis, I. Paschalidis, 2017, IEEE Transactions on Automatic Control.

Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System

Yue Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis, 2016, IEEE Access.

Achieving reliability and high accuracy in automated protein docking: Cluspro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19

Stephen R Comeau, Dima Kozakov, Ryan Brenke, 2010, Proteins.

Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions

Ioannis Ch. Paschalidis, Alex Olshevsky, Artin Spiridonoff, 2018, J. Mach. Learn. Res..

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

I. Paschalidis, Alexander Olshevsky, Shi Pu, 2019, IEEE Transactions on Automatic Control.

A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent

Ioannis Ch. Paschalidis, Alex Olshevsky, Shi Pu, 2019, ArXiv.

Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent

I. Paschalidis, Alexander Olshevsky, Shi Pu, 2019, IEEE Signal Processing Magazine.

Model-based estimation of buffer overflow probabilities from measurements

Ioannis Ch. Paschalidis, Spyridon Vassilaras, I. Paschalidis, 2001, SIGMETRICS '01.

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse

C. Cassandras, I. Paschalidis, James Queeney, 2022, ArXiv.

Redefining and Validating Digital Biomarkers as Fluid, Dynamic Multi-Dimensional Digital Signal Patterns

I. Paschalidis, V. Kolachalama, R. Au, 2022, Frontiers in Digital Health.

Inverse Optimization: A New Perspective on the Black-Litterman Model

Vishal Gupta, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 2012, Oper. Res..

Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach

Tingting Xu, Ioannis Ch. Paschalidis, Theodora S. Brisimi, 2018, Proceedings of the IEEE.

A neural circuit model for a contextual association task inspired by recommender systems

Michael E Hasselmo, Henghui Zhu, Ioannis Ch Paschalidis, 2020, Hippocampus.

A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli

Ioannis Ch. Paschalidis, Michael E. Hasselmo, Henghui Zhu, 2019, 2019 American Control Conference (ACC).

Neural circuits for learning context-dependent associations of stimuli

Ioannis Ch. Paschalidis, Michael E. Hasselmo, Henghui Zhu, 2018, Neural Networks.

Production planning and quality of service allocation across the supply chain in a dynamic lead time model

Ioannis Ch. Paschalidis, Michael C. Caramanis, Chang-Chen Wu, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Tractable supply chain production planning, modeling nonlinear lead time and quality of service constraints

Ioannis Ch. Paschalidis, Michael C. Caramanis, O. M. Anli, 2007 .

Supply chain (SC) production planning with dynamic lead time and quality of service constraints

Ioannis Ch. Paschalidis, Michael C. Caramanis, O. M. Anli, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Detection of unwarranted CT radiation exposure from patient and imaging protocol meta-data using regularized regression

Ioannis Ch. Paschalidis, Ruidi Chen, Vladimir I. Valtchinov, 2019, European journal of radiology open.

Informative predictors of pregnancy after first IVF cycle using eIVF practice highway electronic health records

I. Paschalidis, S. Mahalingaiah, Tingting Xu, 2022, Scientific reports.

Optimal allocation of metabolic functions among organisms in a microbial ecosystem

Qi Zhao, Ioannis Ch. Paschalidis, Daniel Segrè, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Learning cellular objectives from fluxes by inverse optimization

Qi Zhao, Ioannis Ch. Paschalidis, Ed Reznik, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

HPC Data Center Participation in Demand Response: An Adaptive Policy With QoS Assurance

Ioannis Ch. Paschalidis, Ayse K. Coskun, Yijia Zhang, 2022, IEEE Transactions on Sustainable Computing.

Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers

I. Paschalidis, Ruidi Chen, Boran Hao, 2021, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2019, NeurIPS.

Posture detection with body area networks

Ioannis Ch. Paschalidis, Wuyang Dai, Binbin Li, 2011, BODYNETS.

Unconstrained Dynamic Regret via Sparse Coding

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2023, ArXiv.

46 Encounter complexes and dimensionality reduction in protein-protein association

Dima Kozakov, Sandor Vajda, Pirooz Vakili, 2015, Journal of biomolecular structure & dynamics.

Clinical Concept Extraction with Contextual Word Embedding pdf

Ioannis Ch. Paschalidis, Henghui Zhu, Amir Tahmasebi, 2018, NIPS 2018.

Robust measurement-based buffer overflow probability estimators for QoS provisioning and traffic anomaly prediction applicationm pdf

Ioannis Ch. Paschalidis, Spyridon Vassilaras, I. Paschalidis, 2016, ArXiv.

Learning From Past Bids to Participate Strategically in Day-Ahead Electricity Markets

Ioannis Ch. Paschalidis, Michael C. Caramanis, Ruidi Chen, 2018, IEEE Transactions on Smart Grid.

Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic

C. Cassandras, I. Paschalidis, M. Pavone, 2022, IEEE Transactions on Intelligent Transportation Systems.

Planning Strategies for Lane Reversals in Transportation Networks

Christos G. Cassandras, Ioannis Ch. Paschalidis, Salomon Wollenstein-Betech, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic

Marco Pavone, Christos G. Cassandras, Ioannis Ch. Paschalidis, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data*

I. Paschalidis, Chuangchuang Sun, S. Wollenstein-Betech, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Accounting for observed small angle X‐ray scattering profile in the protein–protein docking server cluspro

Bing Xia, Ioannis Ch. Paschalidis, Dima Kozakov, 2015, J. Comput. Chem..

Predicting Antimicrobial Resistance in the Intensive Care Unit

Ioannis Ch. Paschalidis, Joshua Loving, Kyle R. Hansen, 2021, 2111.03575.

Learning parametric policies and transition probability models of markov decision processes from data

Ioannis Ch. Paschalidis, Henghui Zhu, Tingting Xu, 2020, Eur. J. Control.

Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes

Tingting Xu, Ioannis Ch. Paschalidis, Henghui Zhu, 2019, 2019 American Control Conference (ACC).

Learning models for writing better doctor prescriptions

Tingting Xu, Ioannis Ch. Paschalidis, I. Paschalidis, 2019, 2019 18th European Control Conference (ECC).

Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN pdf

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2018, ArXiv.

Solving sensor network coverage problems by distributed asynchronous actor-critic methods

Ioannis Ch. Paschalidis, Paris Pennesi, I. Paschalidis, 2007, 2007 46th IEEE Conference on Decision and Control.

Robust Fluid Processing Networks

Ebrahim Nasrabadi, Ioannis Ch. Paschalidis, Dimitris Bertsimas, 2014, IEEE Transactions on Automatic Control.

Target-pursuing scheduling and routing policies for multiclass queueing networks

Ioannis Ch. Paschalidis, Chang Su, Michael C. Caramanis, 2004, IEEE Transactions on Automatic Control.

Target-pursuing policies for open multiclass queueing networks

Ioannis Ch. Paschalidis, Chang Su, Michael C. Caramanis, 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

Distributed resource allocation in multiservice communication networks using pricing

Ioannis Ch. Paschalidis, Y. Liu, I. Paschalidis, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Pricing in multiservice loss networks: static pricing, asymptotic optimality, and demand substitution effects

Yong Liu, Ioannis Ch. Paschalidis, I. Paschalidis, 2002, TNET.

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees

C. Cassandras, I. Paschalidis, James Queeney, 2023, ArXiv.

Temporal logic motion control using actor–critic methods

Jing Wang, Calin Belta, Ioannis Ch. Paschalidis, 2012, 2012 IEEE International Conference on Robotics and Automation.

Mobile agent coordination via a distributed actor-critic algorithm

Ioannis Ch. Paschalidis, Yingwei Lin, I. Paschalidis, 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

Robust Grouped Variable Selection Using Distributionally Robust Optimization pdf

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2020, Journal of Optimization Theory and Applications.

Formation Detection with Wireless Sensor Networks

Ioannis Ch. Paschalidis, Wuyang Dai, Dong Guo, 2014, ACM Trans. Sens. Networks.

Distributionally Robust Multi-Output Regression Ranking pdf

Ruidi Chen, Shahabeddin Sotudian, Ioannis Paschalidis, 2021, ArXiv.

Clinical Concept Extraction with Contextual Word Embedding

I. Paschalidis, A. Tahmasebi, Henghui Zhu, 2018, NIPS 2018.

ITNR: Inversion Transformer-based Neural Ranking for Cancer Drug Recommendations

I. Paschalidis, Shahabeddin Sotudian, 2023, bioRxiv.

Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction

I. Paschalidis, Shahabeddin Sotudian, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Asymptotically Optimal Transmission Policies for Large-Scale Low-Power Wireless Sensor Networks

I. Paschalidis, D. Starobinski, Wei Lai, 2007, IEEE/ACM Transactions on Networking.

A Semi-Definite programming-based Underestimation method for global optimization in molecular docking

Yang Shen, I.Ch. Paschalidis, S. Vajda, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Predicting polycystic ovary syndrome (PCOS) with machine learning algorithms from electronic health records

I. Paschalidis, S. Mahalingaiah, Taiyao Wang, 2023, medRxiv.

Distributionally robust learning-to-rank under the Wasserstein metric

I. Paschalidis, Ruidi Chen, Shahabeddin Sotudian, 2023, PloS one.

Statistical anomaly detection with sensor networks

Yin Chen, Ioannis Ch. Paschalidis, I. Paschalidis, 2010, TOSN.

Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems

Shaoyuan Li, Ioannis Ch. Paschalidis, Chengnian Long, 2019, IEEE Transactions on Smart Grid.

Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2018, PERV.

Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems

Christos G. Cassandras, Ioannis Ch. Paschalidis, Salom'on Wollenstein-Betech, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Online Baum-Welch algorithm for Hierarchical Imitation Learning pdf

Ioannis Ch. Paschalidis, Vittorio Giammarino, I. Paschalidis, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Generalized Proximal Policy Optimization with Sample Reuse pdf

Christos G. Cassandras, Ioannis Ch. Paschalidis, James Queeney, 2021, NeurIPS.

Learning from animals: How to Navigate Complex Terrains

Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis, 2020, PLoS Comput. Biol..

Communication-efficient SGD: From Local SGD to One-Shot Averaging pdf

Ioannis Ch. Paschalidis, Artin Spiridonoff, Alex Olshevsky, 2021, NeurIPS.

Sensor network minimal energy routing with latency guarantees

Ioannis Ch. Paschalidis, Wei Lai, I. Paschalidis, 2007, MobiHoc '07.

Local SGD With a Communication Overhead Depending Only on the Number of Workers pdf

Ioannis Ch. Paschalidis, Alex Olshevsky, Artin Spiridonoff, 2020, ArXiv.

Detection and localization of harmful atmospheric releases via support vector machines

Ioannis Ch. Paschalidis, Ronald Taylor Locke, I. Paschalidis, 2015, Environmental Systems Research.

On the estimation of buffer overflow probabilities from measurements

Ioannis Ch. Paschalidis, Spyridon Vassilaras, I. Paschalidis, 2001, IEEE Trans. Inf. Theory.

Strategic equilibrium bidding for electricity suppliers in a day-ahead market using inverse optimization

Ioannis Ch. Paschalidis, Michael C. Caramanis, Ruidi Chen, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach

Theodora S. Brisimi, I. Paschalidis, Taiyao Wang, 2018, Proceedings of the IEEE.

Adversarial Imitation Learning from Visual Observations using Latent Information

I. Paschalidis, James Queeney, Vittorio Giammarino, 2023, ArXiv.

Energy Minimization on Manifolds for Docking Flexible Molecules.

Dima Kozakov, Dmitri Beglov, Sandor Vajda, 2015, Journal of chemical theory and computation.

Flexible refinement of protein-ligand docking on manifolds

Ioannis Ch. Paschalidis, Dima Kozakov, Dmitri Beglov, 2013, 52nd IEEE Conference on Decision and Control.

Neural circuits for learning context-dependent associations of stimuli

M. Hasselmo, I. Paschalidis, Henghui Zhu, 2018, Neural Networks.

Unconstrained Dynamic Regret via Sparse Coding

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2023, NeurIPS.

An actor-critic method using Least Squares Temporal Difference learning

Ioannis Ch. Paschalidis, Keyong Li, Reza Moazzez Estanjini, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling.

Amir Tahmasebi, Henghui Zhu, Ioannis Ch Paschalidis, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

On the Performance of Temporal Difference Learning With Neural Networks

I. Paschalidis, Haoxing Tian, Alexander Olshevsky, 2023, ICLR.

Adversarial Imitation Learning from Visual Observations using Latent Information

I. Paschalidis, James Queeney, Vittorio Giammarino, 2023, ArXiv.

Closing the gap between SVRG and TD-SVRG with Gradient Splitting

I. Paschalidis, Alexander Olshevsky, Arsenii Mustafin, 2022, ArXiv.

Predicting and Evaluating the Effect of Bivalirudin in Cardiac Surgical Patients

Qi Zhao, Ioannis Ch. Paschalidis, Thomas Edrich, 2014, IEEE Transactions on Biomedical Engineering.

On delay-minimized data harvesting with mobile elements in wireless sensor networks

Ioannis Ch. Paschalidis, Reza Moazzez Estanjini, I. Paschalidis, 2012, Ad Hoc Networks.

Improved delay-minimized data harvesting with mobile elements in wireless sensor networks

Ioannis Ch. Paschalidis, Reza Moazzez Estanjini, I. Paschalidis, 2011, 2011 International Symposium of Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks.

A Distributionally Robust Optimization Approach for Outlier Detection *

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Scheduling Mobile Nodes for Cooperative Data Transport in Sensor Networks

Jing Wang, Ioannis Ch. Paschalidis, Reza Moazzez Estanjini, 2013, IEEE/ACM Transactions on Networking.

Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric pdf

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2020, ArXiv.

A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric

Ioannis Ch. Paschalidis, Ruidi Chen, I. Paschalidis, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Optimal transmission scheduling policies for wireless sensor networks with frequency diversity

Ioannis Ch. Paschalidis, Wei Lai, Xiangdong Song, 2007, 2007 46th IEEE Conference on Decision and Control.

Optimizing transmissions and routing in sensor networks is polynomially solvable

Ioannis Ch. Paschalidis, Wei Lai, David Starobinski, 2005, SPIE Optics East.

Asymptotic Network Independence in Distributed Optimization for Machine Learning

I. Paschalidis, Alexander Olshevsky, Shi Pu, 2019, ArXiv.

A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent

Ioannis Ch. Paschalidis, Shi Pu, Alex Olshevsky, 2019, IEEE Transactions on Automatic Control.

Optimally balancing energy consumption versus latency in sensor network routing

Ioannis Ch. Paschalidis, Wei Lai, I. Paschalidis, 2008, TOSN.

The capacity of sparse networks under controlled mobility

Ioannis Ch. Paschalidis, Reza Moazzez Estanjini, I. Paschalidis, 2010, 49th IEEE Conference on Decision and Control (CDC).

Protein-protein docking with reduced potentials by exploiting multi-dimensional energy funnels

Ioannis Ch. Paschalidis, Sandor Vajda, Pirooz Vakili, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory

I. Paschalidis, Ashok Cutkosky, Zhiyu Zhang, 2021, AISTATS.

An improved composite hypothesis test for Markov models with applications in network anomaly detection

Ioannis Ch. Paschalidis, Jing Zhang, I. Paschalidis, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

A Message-Passing Algorithm for Wireless Network Scheduling

Ioannis Ch. Paschalidis, Wei Lai, Fuzhuo Huang, 2015, IEEE/ACM Transactions on Networking.

Data center and load aggregator coordination towards electricity demand response

I. Paschalidis, Yijia Zhang, Athanasios Tsiligkaridis, 2024, Sustain. Comput. Informatics Syst..

Coordinated Demand Response By Data Centers Using Inverse Optimization

Ioannis Ch. Paschalidis, Athanasios Tsiligkaridis, Ayse Coskun, 2020, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

Data Center Demand Response Pricing Using Inverse Optimization

Ioannis Ch. Paschalidis, Ayse K. Coskun, Athanasios Tsiligkaridis, 2019, e-Energy.

Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records

I. Paschalidis, S. Mahalingaiah, Taiyao Wang, 2024, Frontiers in endocrinology.

Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions *

Ioannis Ch. Paschalidis, Taiyao Wang, I. Paschalidis, 2019, 2019 18th European Control Conference (ECC).

Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models*

Ioannis Ch. Paschalidis, Taiyao Wang, I. Paschalidis, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

A joint sparse clustering and classification approach with applications to hospitalization prediction

Tingting Xu, Ioannis Ch. Paschalidis, Theodora S. Brisimi, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Prediction of hospitalization due to heart diseases by supervised learning methods

Theodora S. Brisimi, I. Paschalidis, Venkatesh Saligrama, 2015, Int. J. Medical Informatics.

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS

Naomi Ehrich Leonard, M. Egerstedt, S. Low, 2014 .