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Damiano Varagnolo
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2020 – today
- 2024
- [j20]Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad:
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. IEEE Access 12: 13213-13232 (2024) - [j19]Emil Wengle, Elias Strandell Erstorp, Viktor Lidström, Damiano Varagnolo, Hefeng Dong:
Experimental assessment of a JANUS-based consensus protocol. Comput. Networks 244: 110345 (2024) - [c56]Roxanne R. Jackson, Damiano Varagnolo, Steffi Knorn:
Reinforcement Learning for Exploration vs. Exploitation Problems in Medical Exercise Sessions. ANZCC 2024: 55-60 - [c55]Roxanne R. Jackson, Damiano Varagnolo, Marieke Dewitte, Steffi Knorn:
Identification of a Dynamic Model of Pain and Fear Characteristics During Vaginal Dilation Exercises. ECC 2024: 1252-1257 - [c54]Behdad Aminian, Emil Wengle, Federico Iadarola, Damiano Varagnolo:
A Distributed Optimization Approach for the Adaptation of Underwater Acoustic Communication Protocols. ECC 2024: 3193-3200 - [c53]Håvard Bjørgan Bjørkøy, Damiano Varagnolo:
Hyperparameters Tuning in Regularized System Identification with Nonzero Prior Means. ECC 2024: 3557-3563 - [c52]Steffi Knorn, Anja Garone, Damiano Varagnolo, Emanuele Garone:
Sharing and Collaborating When Teaching Automatic Control: An Experience-Based Needs Analysis. MED 2024: 286-291 - 2023
- [j18]Roxanne R. Jackson, Damiano Varagnolo, Steffi Knorn:
A Dual Control Approach to Solve Exploration Versus Exploitation Trade-Offs in the Design of Personalized Physical Exercise Sessions. IEEE Control. Syst. Lett. 7: 2383-2388 (2023) - [j17]Jostein Løwer, Damiano Varagnolo, Øyvind Stavdahl:
Improved Jacobian matrix estimation applied to snake robots. Frontiers Robotics AI 10 (2023) - [j16]Jorge Pomares, Leonard Felicetti, Damiano Varagnolo:
Editorial: Multi-robot systems for space applications. Frontiers Robotics AI 10 (2023) - [j15]Jostein Løwer, Irja Gravdahl, Damiano Varagnolo, Øyvind Stavdahl:
Form Closure for Fully Actuated and Robust Obstacle-Aided Locomotion in Snake Robots. IEEE Robotics Autom. Lett. 8(11): 7360-7367 (2023) - [c51]Jostein Løwer, Irja Gravdahl, Damiano Varagnolo, Øyvind Stavdahl:
A Novel Model for Link Dynamics in Planar Snake Robots Using Internal Constraint Force Sensing. CCTA 2023: 872-877 - [c50]Behdad Aminian, Damiano Varagnolo:
A CUSUM-Based Approach for the Dynamic Step-Size Selection Problem in Primal-Based Distributed Optimization Algorithms. SMC 2023: 5160-5167 - [i5]Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad:
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. CoRR abs/2307.00384 (2023) - [i4]Ali Arjomandi-Nezhad, Yifei Guo, Bikash C. Pal, Damiano Varagnolo:
A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters. CoRR abs/2308.01020 (2023) - 2022
- [j14]Amalie Heiberg, Thomas Nakken Larsen, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. Neural Networks 152: 17-33 (2022) - [c49]Hans Alvar Engmark, Håvard Bjørgan Bjørkøy, Adil Rasheed, Damiano Varagnolo:
Wienerization of systems in nonlinear control canonical normal form. CDC 2022: 4485-4492 - [c48]Roya Doshmanziari, Roxanne R. Jackson, Damiano Varagnolo, Steffi Knorn:
Data-driven modeling of fatigue effects following repeated muscular contractions. CDC 2022: 6052-6057 - [c47]Håvard Bjørgan Bjørkøy, Hans Alvar Engmark, Adil Rasheed, Damiano Varagnolo:
Wienerization Based Control of Nonlinear Systems. ECC 2022: 641-648 - [c46]Riccardo Busetto, Thomas Nakken Larsen, Adil Rasheed, Damiano Varagnolo, Simone Formentin:
A receding-horizon estimation and control framework for the content sequencing problem. ECC 2022: 1908-1915 - [c45]Behdad Aminian, Karim Davari Benam, Damiano Varagnolo:
ASAN: An Extendable Approach for Automatic Step-sizes Adjustment for Newton-Raphson Consensus Optimization Algorithms. SMC 2022: 3026-3032 - [c44]Emil Wengle, John R. Potter, Damiano Varagnolo, Hefeng Dong:
A JANUS-Based Consensus Protocol for Parametric Modulation Schemes. WUWNet 2022: 9:1-9:8 - [i3]Josef Matous, Kristin Ytterstad Pettersen, Damiano Varagnolo, Claudio Paliotta:
Singularity-free Formation Path Following of Underactuated AUVs: Extended Version. CoRR abs/2210.14646 (2022) - 2021
- [j13]Thomas Nakken Larsen, Halvor Ødegård Teigen, Torkel Laache, Damiano Varagnolo, Adil Rasheed:
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. Frontiers Robotics AI 8: 738113 (2021) - [j12]Anas W. Alhashimi, Martin Magnusson, Steffi Knorn, Damiano Varagnolo:
Calibrating Range Measurements of Lidars Using Fixed Landmarks in Unknown Positions. Sensors 21(1): 155 (2021) - [j11]Riccardo Lucchese, Damiano Varagnolo, Andreas Johansson:
Controlled Direct Liquid Cooling of Data Servers. IEEE Trans. Control. Syst. Technol. 29(6): 2325-2338 (2021) - [c43]Spyridon Chapaloglou, Damiano Varagnolo, Francesco Marra, Elisabetta Tedeschi:
Data dependent concurrent storage sizing and control design for frequency support in isolated power systems. ECC 2021: 2092-2097 - [i2]Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer, Adil Rasheed, Omer San, Damiano Varagnolo:
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. CoRR abs/2112.00115 (2021) - 2020
- [c42]Steffi Knorn, Damiano Varagnolo, Nathalie Kask, David M. Budgett, Jennifer A. Kruger, Poul M. F. Nielsen:
Analysing the effects of biofeedback using control-oriented formalisms: the case of gamified Kegel exercising. ECC 2020: 741-748 - [c41]André M. H. Teixeira, Aida O. P. D. C. Guerra, Steffi Knorn, Kjell Staffas, Damiano Varagnolo:
Computer-aided curriculum analysis and design: existing challenges and open research directions. FIE 2020: 1-9
2010 – 2019
- 2019
- [j10]Steffi Knorn, Damiano Varagnolo, Reinhilde Melles, Marieke Dewitte:
Data-driven models of pelvic floor muscles dynamics subject to psychological and physiological stimuli. IFAC J. Syst. Control. 8: 100044 (2019) - [j9]Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo:
Distributed Multi-Agent Gaussian Regression via Finite-Dimensional Approximations. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2098-2111 (2019) - [j8]Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Multiagent Newton-Raphson Optimization Over Lossy Networks. IEEE Trans. Autom. Control. 64(7): 2983-2990 (2019) - [c40]Nathalie Kask, David M. Budgett, Jennifer A. Kruger, Poul M. F. Nielsen, Damiano Varagnolo, Steffi Knorn:
Data-driven modelling of fatigue in pelvic floor muscles when performing Kegel exercises. CDC 2019: 5647-5653 - [c39]Eva Fjällström, Christoffer Forsberg, Felix Trulsson, Steffi Knorn, Kjell Staffas, Damiano Varagnolo, Tobias Wrigstad:
Courses-Concepts-Graphs as a Tool to Measure the Importance of Concepts in University Programmes. ECC 2019: 3076-3083 - [c38]Michele Lionello, Mirco Rampazzo, Alessandro Beghi, Damiano Varagnolo, Mattias Vesterlund:
Lumped-parameters Control-oriented Gray-box Modelling of Liquid Immersion Cooling Systems. ECC 2019: 3861-3866 - [c37]Spyridon Chapaloglou, Damiano Varagnolo, Elisabetta Tedeschi:
Techno-Economic Evaluation of the Sizing and Operation of Battery Storage for Isolated Oil and Gas Platforms with High Wind Power Penetration. IECON 2019: 4587-4592 - 2018
- [j7]Damiano Varagnolo, Steffi Knorn, Ernesto Oliver-Chiva, Reinhilde Melles, Marieke Dewitte:
Data-Driven Modelling of Subjective Pain/Pleasure Assessments As Responses to Vaginal Dilation Stimuli. IEEE Control. Syst. Lett. 2(3): 423-428 (2018) - [c36]Anas W. Alhashimi, Simone Del Favero, Damiano Varagnolo, Thomas Gustafsson, Gianluigi Pillonetto:
Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures. ECC 2018: 2447-2453 - [c35]Emanuele Simonazzi, Miguel Ramos Galrinho, Damiano Varagnolo, Jonas Gustafsson, Winter Garcia-Gabin:
Detecting and Modelling Air Flow Overprovisioning / Underprovisioning in Air-Cooled Datacenters. IECON 2018: 4893-4900 - 2017
- [c34]Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo:
Statistical bounds for Gaussian regression algorithms based on Karhunen-Loève expansions. CDC 2017: 363-368 - [c33]Afrooz Ebadat, Damiano Varagnolo, Giulio Bottegal, Bo Wahlberg, Karl Henrik Johansson:
Application-oriented input design for room occupancy estimation algorithms. CDC 2017: 3417-3424 - [c32]Martin Eriksson, Riccardo Lucchese, Jonas Gustafsson, Anna-Lena Ljung, Arash Mousavi, Damiano Varagnolo:
Monitoring and modelling open compute servers. IECON 2017: 7177-7184 - [i1]Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo:
Distributed multi-agent Gaussian regression via Karhunen-Loève expansions. CoRR abs/1708.00194 (2017) - 2016
- [j6]Damiano Varagnolo, Filippo Zanella, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato:
Newton-Raphson Consensus for Distributed Convex Optimization. IEEE Trans. Autom. Control. 61(4): 994-1009 (2016) - [c31]Riccardo Lucchese, Damiano Varagnolo:
A tight bound on the Bernoulli trials network size estimator. CDC 2016: 3474-3480 - [c30]Anas W. Alhashimi, Damiano Varagnolo, Thomas Gustafsson:
Statistical Modeling and Calibration of Triangulation Lidars. ICINCO (1) 2016: 308-317 - [c29]Anas W. Alhashimi, Giovanni Pierobon, Damiano Varagnolo, Thomas Gustafsson:
Modeling and Calibrating Triangulation Lidars for Indoor Applications. ICINCO (Selected Papers) 2016: 342-366 - [c28]Ulrik Mamikoglu, George Nikolakopoulos, Mascha Pauelsen, Damiano Varagnolo, Ulrik Röijezon, Thomas Gustafsson:
Elbow joint angle estimation by using integrated surface electromyography. MED 2016: 785-790 - 2015
- [j5]Anas W. Alhashimi, Damiano Varagnolo, Thomas Gustafsson:
Joint Temperature-Lasing Mode Compensation for Time-of-Flight LiDAR Sensors. Sensors 15(12): 31205-31223 (2015) - [j4]Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Karl Henrik Johansson:
Regularized Deconvolution-Based Approaches for Estimating Room Occupancies. IEEE Trans Autom. Sci. Eng. 12(4): 1157-1168 (2015) - [c27]Riccardo Lucchese, Damiano Varagnolo:
Networks cardinality estimation using order statistics. ACC 2015: 3810-3817 - [c26]Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications. CDC 2015: 418-424 - [c25]Riccardo Lucchese, Damiano Varagnolo, Jean-Charles Delvenne, Julien M. Hendrickx:
Network cardinality estimation using max consensus: The case of Bernoulli trials. CDC 2015: 895-901 - [c24]Afrooz Ebadat, Giulio Bottegal, Marco Molinari, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson:
Multi-room occupancy estimation through adaptive gray-box models. CDC 2015: 3705-3711 - [c23]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Auto-tuning procedures for distributed nonparametric regression algorithms. ECC 2015: 640-647 - [c22]Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson:
Blind identification strategies for room occupancy estimation. ECC 2015: 1315-1320 - [c21]Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo:
Distributed quadratic programming under asynchronous and lossy communications via Newton-Raphson consensus. ECC 2015: 2514-2520 - 2014
- [j3]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Distributed Cardinality Estimation in Anonymous Networks. IEEE Trans. Autom. Control. 59(3): 645-659 (2014) - [c20]Alessandra Parisio, Luca Fabietti, Marco Molinari, Damiano Varagnolo, Karl Henrik Johansson:
Control of HVAC systems via scenario-based explicit MPC. CDC 2014: 5201-5207 - 2013
- [j2]Damiano Varagnolo, Simone Del Favero, Francesco Dinuzzo, Luca Schenato, Gianluigi Pillonetto:
Finding Potential Support Vectors in Separable Classification Problems. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1799-1813 (2013) - [c19]Alessandra Parisio, Marco Molinari, Damiano Varagnolo, Karl Henrik Johansson:
A scenario-based predictive control approach to building HVAC management systems. CASE 2013: 428-435 - [c18]James Weimer, Damiano Varagnolo, Milos S. Stankovic, Karl Henrik Johansson:
Parameter-invariant detection of unknown inputs in networked systems. CDC 2013: 4379-4384 - [c17]Håkan Terelius, Damiano Varagnolo, Carlos Baquero, Karl Henrik Johansson:
Fast distributed estimation of empirical mass functions over anonymous networks. CDC 2013: 6771-6777 - [c16]James Weimer, Damiano Varagnolo, Karl Henrik Johansson:
Distributed model-invariant detection of unknown inputs in networked systems. HiCoNS 2013: 127-134 - [c15]Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Karl Henrik Johansson:
Estimation of building occupancy levels through environmental signals deconvolution. BuildSys@SenSys 2013: 8:1-8:8 - [c14]Alessandra Parisio, Damiano Varagnolo, Daniel Risberg, Giorgio Pattarello, Marco Molinari, Karl Henrik Johansson:
Randomized Model Predictive Control for HVAC Systems. BuildSys@SenSys 2013: 19:1-19:8 - 2012
- [j1]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Distributed parametric and nonparametric regression with on-line performance bounds computation. Autom. 48(10): 2468-2481 (2012) - [c13]Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato:
Multidimensional Newton-Raphson consensus for distributed convex optimization. ACC 2012: 1079-1084 - [c12]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Consensus based estimation of anonymous networks size using Bernoulli trials. ACC 2012: 2196-2201 - [c11]Simone Del Favero, Damiano Varagnolo, Gianluigi Pillonetto:
Bayesian learning of probability density functions: A Markov chain Monte Carlo approach. CDC 2012: 1512-1517 - [c10]Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato:
The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions. CDC 2012: 5098-5103 - [c9]Håkan Terelius, Damiano Varagnolo, Karl Henrik Johansson:
Distributed size estimation of dynamic anonymous networks. CDC 2012: 5221-5227 - 2011
- [c8]Simone Del Favero, Damiano Varagnolo, Francesco Dinuzzo, Luca Schenato, Gianluigi Pillonetto:
On the discardability of data in support vector classification problems. CDC/ECC 2011: 3210-3215 - [c7]Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato:
Newton-Raphson consensus for distributed convex optimization. CDC/ECC 2011: 5917-5922 - 2010
- [c6]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization. ACC 2010: 3986-3991 - [c5]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Distributed statistical estimation of the number of nodes in sensor networks. CDC 2010: 1498-1503 - [c4]Eilyan Bitar, Annarita Giani, Ram Rajagopal, Damiano Varagnolo, Pramod P. Khargonekar, Kameshwar Poolla, Pravin Varaiya:
Optimal contracts for wind power producers in electricity markets. CDC 2010: 1919-1926
2000 – 2009
- 2009
- [c3]Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato:
Distributed function and time delay estimation using nonparametric techniques. CDC 2009: 7608-7613 - 2008
- [c2]Saverio Bolognani, Simone Del Favero, Luca Schenato, Damiano Varagnolo:
Distributed sensor calibration and least-square parameter identification in WSNs using consensus algorithms. Allerton 2008: 1191-1198 - [c1]Damiano Varagnolo, Phoebus Chen, Luca Schenato, Shankar S. Sastry:
Performance analysis of different routing protocols in Wireless Sensor Networks for real-time estimation. CDC 2008: 4904-4909
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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