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2020 – today
- 2024
- [c159]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. ICLR 2024 - [c158]Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu:
Learning Adaptive Safety for Multi-Agent Systems. ICRA 2024: 2859-2865 - [c157]Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Flock-Formation Control of Multi-Agent Systems using Imperfect Relative Distance Measurements. ICRA 2024: 12193-12200 - [c156]Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA 2024: 15106-15112 - [c155]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV 2024: 8201-8210 - [i72]Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR abs/2401.08602 (2024) - [i71]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR abs/2401.10178 (2024) - [i70]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR abs/2401.14469 (2024) - [i69]Mónika Farsang, Radu Grosu:
Gated Chemical Units. CoRR abs/2403.08791 (2024) - [i68]Axel Brunnbauer, Luigi Berducci, Peter Priller, Dejan Nickovic, Radu Grosu:
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving. CoRR abs/2403.17805 (2024) - [i67]Elpiniki Maria Lygizou, Michael Reiter, Margarita Maurer-Granofszky, Michael N. Dworzak, Radu Grosu:
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers. CoRR abs/2406.18309 (2024) - [i66]Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Simon Spohn, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game. CoRR abs/2407.10537 (2024) - 2023
- [j35]Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, Tobias Fechter, Matthias Benndorf, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
Investigation and benchmarking of U-Nets on prostate segmentation tasks. Comput. Medical Imaging Graph. 107: 102241 (2023) - [j34]Christian Hirsch, Luca Davoli, Radu Grosu, Gianluigi Ferrari:
DynGATT: A dynamic GATT-based data synchronization protocol for BLE networks. Comput. Networks 222: 109560 (2023) - [j33]Usama Mehmood, Shouvik Roy, Amol Damare, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
A distributed simplex architecture for multi-agent systems. J. Syst. Archit. 134: 102784 (2023) - [j32]Luca Cardelli, Radu Grosu, Kim Guldstrand Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Algorithmic Minimization of Uncertain Continuous-Time Markov Chains. IEEE Trans. Autom. Control. 68(11): 6557-6572 (2023) - [c154]Jie He, Dejan Nickovic, Ezio Bartocci, Radu Grosu:
TD-Magic: From Pictures of Timing Diagrams To Formal Specifications. DAC 2023: 1-6 - [c153]Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov:
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE 2023: 1-6 - [c152]Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Multi-Agent Spatial Predictive Control with Application to Drone Flocking. ICRA 2023: 1221-1227 - [i65]Julian Lemmel, Radu Grosu:
On the Benefits of Biophysical Synapses. CoRR abs/2303.04944 (2023) - [i64]Sophie A. Neubauer, Radu Grosu:
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. CoRR abs/2308.12192 (2023) - [i63]Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer:
Prediction of Tourism Flow with Sparse Geolocation Data. CoRR abs/2308.14516 (2023) - [i62]Daniel Scheuchenstuhl, Stefan Ulmer, Felix Resch, Luigi Berducci, Radu Grosu:
Enhancing Robot Learning through Learned Human-Attention Feature Maps. CoRR abs/2308.15327 (2023) - [i61]Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu:
Learning Adaptive Safety for Multi-Agent Systems. CoRR abs/2309.10657 (2023) - [i60]Julian Lemmel, Radu Grosu:
Real-Time Recurrent Reinforcement Learning. CoRR abs/2311.04830 (2023) - 2022
- [j31]Paul Bogdan, Radu Grosu, Insup Lee:
Introduction to the Special Issue on Internet-of-Medical-Things. ACM Trans. Comput. Heal. 3(3): 26e:1 (2022) - [j30]Penghua Li, Yifeng Yang, Radu Grosu, Guodong Wang, Rui Li, Yuehong Wu, Zeng Huang:
Driver Distraction Detection Using Octave-Like Convolutional Neural Network. IEEE Trans. Intell. Transp. Syst. 23(7): 8823-8833 (2022) - [c151]Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Statistical Verification of Continuous-Depth Models. AAAI 2022: 6755-6764 - [c150]Sophie A. Neubauer, Radu Grosu:
Robustness Analysis of Continuous-Depth Models with Lagrangian Techniques. Principles of Systems Design 2022: 625-649 - [c149]Radu Grosu:
Keynote Lecture Towards Neuro-Symbolic AI. ICCP 2022: vii - [c148]Hamidreza Mahyar, Peter Tulala, Elahe Ghalebi, Radu Grosu:
DeepWafer: A Generative Wafermap Model with Deep Adversarial Networks. ICMLA 2022: 126-131 - [c147]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA 2022: 7513-7520 - [c146]Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu:
DeepSTL - From English Requirements to Signal Temporal Logic. ICSE 2022: 610-622 - [c145]Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Towards Drone Flocking Using Relative Distance Measurements. ISoLA (3) 2022: 97-109 - [c144]Luigi Berducci, Radu Grosu:
Safe Policy Improvement in Constrained Markov Decision Processes. ISoLA (1) 2022: 360-381 - [i59]Andreas Brandstätter, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari, Radu Grosu:
Multi-Agent Spatial Predictive Control with Application to Drone Flocking (Extended Version). CoRR abs/2203.16960 (2022) - [i58]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
End-to-End Sensitivity-Based Filter Pruning. CoRR abs/2204.07412 (2022) - [i57]Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter:
Entangled Residual Mappings. CoRR abs/2206.01261 (2022) - [i56]Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu, Sophie A. Neubauer:
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data. CoRR abs/2206.13274 (2022) - [i55]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Pruning by Active Attention Manipulation. CoRR abs/2210.11114 (2022) - [i54]Luigi Berducci, Radu Grosu:
Safe Policy Improvement in Constrained Markov Decision Processes. CoRR abs/2210.11259 (2022) - [i53]Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca-Ligia Grosu, Radu Grosu:
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels. CoRR abs/2210.15949 (2022) - 2021
- [c143]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. AAAI 2021: 7657-7666 - [c142]Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu:
On the Verification of Neural ODEs with Stochastic Guarantees. AAAI 2021: 11525-11535 - [c141]Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Distributed Control for Flocking Maneuvers via Acceleration-Weighted Neighborhooding. ACC 2021: 2745-2750 - [c140]Usama Mehmood, Scott D. Stoller, Radu Grosu, Scott A. Smolka:
Collision-Free 3D Flocking Using the Distributed Simplex Architecture. Formal Methods in Outer Space 2021: 147-156 - [c139]Haris Isakovic, Luis Lino Ferreira, Irmin Okic, Adam Dukkon, Zlatan Tucakovic, Radu Grosu:
QoS for Dynamic Deployment of IoT Services. ICIT 2021: 1144-1151 - [c138]Haris Isakovic, Stefan Dangl, Zlatan Tucakovic, Radu Grosu:
Adaptive Signal Filtering Platform for a CPS/IoT Ecosystem. ICIT 2021: 1391-1396 - [c137]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. ICML 2021: 478-489 - [c136]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. ICRA 2021: 4140-4147 - [c135]Radu Grosu:
Keynote Lecture : Neural circuit policies. ISPDC 2021: xii - [c134]Luca Cardelli, Radu Grosu, Kim G. Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Lumpability for Uncertain Continuous-Time Markov Chains. QEST 2021: 391-409 - [c133]Usama Mehmood, Scott D. Stoller, Radu Grosu, Shouvik Roy, Amol Damare, Scott A. Smolka:
A Distributed Simplex Architecture for Multi-agent Systems. SETTA 2021: 239-257 - [i52]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. CoRR abs/2103.04909 (2021) - [i51]Mathias Lechner, Ramin M. Hasani, Radu Grosu, Daniela Rus, Thomas A. Henzinger:
Adversarial Training is Not Ready for Robot Learning. CoRR abs/2103.08187 (2021) - [i50]Zahra Babaiee, Ramin M. Hasani, Mathias Lechner, Daniela Rus, Radu Grosu:
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification. CoRR abs/2106.07091 (2021) - [i49]Sophie Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Stochastic Verification of Continuous-Depth Models. CoRR abs/2107.08467 (2021) - [i48]Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu:
From English to Signal Temporal Logic. CoRR abs/2109.10294 (2021) - [i47]Edgar A. Aguilar, Luigi Berducci, Axel Brunnbauer, Radu Grosu, Dejan Nickovic:
From STL Rulebooks to Rewards. CoRR abs/2110.02792 (2021) - [i46]Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn, Tobias Fechter, Constantinos Zamboglou, Anca L. Grosu, Radu Grosu:
3D-OOCS: Learning Prostate Segmentation with Inductive Bias. CoRR abs/2110.15664 (2021) - 2020
- [j29]Xuelin Zhang, Xiaojian Xu, Xiaobin Xu, Diju Gao, Haibo Gao, Guodong Wang, Radu Grosu:
Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule. Entropy 22(7): 770 (2020) - [j28]Mathias Lechner, Ramin M. Hasani, Alexander Amini, Thomas A. Henzinger, Daniela Rus, Radu Grosu:
Neural circuit policies enabling auditable autonomy. Nat. Mach. Intell. 2(10): 642-652 (2020) - [c132]Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Learning Distributed Controllers for V-Formation. ACSOS 2020: 119-128 - [c131]Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner, Md. Ariful Islam, Scott A. Smolka, Radu Grosu:
Lagrangian Reachtubes: The Next Generation. CDC 2020: 1556-1563 - [c130]Usama Mehmood, Shouvik Roy, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Neural Flocking: MPC-Based Supervised Learning of Flocking Controllers. FoSSaCS 2020: 1-16 - [c129]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits. ICML 2020: 4082-4093 - [c128]Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme. ICRA 2020: 5446-5452 - [c127]Dung T. Phan, Radu Grosu, Nils Jansen, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller:
Neural Simplex Architecture. NFM 2020: 97-114 - [c126]Haris Isakovic, Edgar Azpiazu Crespo, Radu Grosu:
An Energy Sustainable CPS/IoT Ecosystem. SmartCity360° 2020: 305-322 - [i45]Radu Grosu, Anna Lukina, Scott A. Smolka, Ashish Tiwari, Vasudha Varadarajan, Xingfang Wang:
V-Formation via Model Predictive Control. CoRR abs/2002.08955 (2020) - [i44]Radu Grosu:
ResNets, NeuralODEs and CT-RNNs are Particular Neural Regulatory Networks. CoRR abs/2002.12776 (2020) - [i43]Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Learning Distributed Controllers for V-Formation. CoRR abs/2006.00680 (2020) - [i42]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. CoRR abs/2006.04439 (2020) - [i41]Sophie Gruenbacher, Jacek Cyranka, Mathias Lechner, Md. Ariful Islam, Scott A. Smolka, Radu Grosu:
Lagrangian Reachtubes: The Next Generation. CoRR abs/2012.07458 (2020) - [i40]Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu:
On The Verification of Neural ODEs with Stochastic Guarantees. CoRR abs/2012.08863 (2020) - [i39]Usama Mehmood, Scott D. Stoller, Radu Grosu, Shouvik Roy, Amol Damare, Scott A. Smolka:
A Distributed Simplex Architecture for Multi-Agent Systems. CoRR abs/2012.10153 (2020)
2010 – 2019
- 2019
- [j27]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7: 13260-13283 (2019) - [j26]Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup:
A generative neural network model for the quality prediction of work in progress products. Appl. Soft Comput. 85 (2019) - [j25]Amit Gurung, Rajarshi Ray, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu:
Parallel reachability analysis of hybrid systems in XSpeed. Int. J. Softw. Tools Technol. Transf. 21(4): 401-423 (2019) - [j24]Houssam Abbas, Alëna Rodionova, Konstantinos Mamouras, Ezio Bartocci, Scott A. Smolka, Radu Grosu:
Quantitative Regular Expressions for Arrhythmia Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1586-1597 (2019) - [j23]Md. Ariful Islam, Rance Cleaveland, Flavio H. Fenton, Radu Grosu, Paul L. Jones, Scott A. Smolka:
Probabilistic reachability for multi-parameter bifurcation analysis of cardiac alternans. Theor. Comput. Sci. 765: 158-169 (2019) - [c125]Ramin M. Hasani, Guodong Wang, Radu Grosu:
A Machine Learning Suite for Machine Components' Health-Monitoring. AAAI 2019: 9472-9477 - [c124]Sophie Gruenbacher, Jacek Cyranka, Md. Ariful Islam, Max Tschaikowski, Scott A. Smolka, Radu Grosu:
Under the Hood of a Stand-Alone Lagrangian Reachability Tool. ARCH@CPSIoTWeek 2019: 211-219 - [c123]Mathias Lechner, Ramin M. Hasani, Manuel Zimmer, Thomas A. Henzinger, Radu Grosu:
Designing Worm-inspired Neural Networks for Interpretable Robotic Control. ICRA 2019: 87-94 - [c122]Haris Isakovic, Vanja Bisanovic, Bernhard Wally, Thomas Rausch, Denise Ratasich, Schahram Dustdar, Gerti Kappel, Radu Grosu:
Sensyml: Simulation Environment for large-scale IoT Applications. IECON 2019: 3024-3030 - [c121]Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus:
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. IJCNN 2019: 1-8 - [c120]Haris Isakovic, Alexander Fasching, Lukas Punzenberger, Radu Grosu:
CPS/IoT Ecosystem: Indoor Vertical Farming System. ISCT 2019: 47-52 - [c119]Christian Hirsch, Ezio Bartocci, Radu Grosu:
Capacitive Soil Moisture Sensor Node for IoT in Agriculture and Home. ISCT 2019: 97-102 - [c118]Anna Lukina, Ashish Tiwari, Scott A. Smolka, Radu Grosu:
Distributed adaptive-neighborhood control for stochastic reachability in multi-agent systems. SAC 2019: 914-921 - [c117]Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time. SASO 2019: 23-32 - [c116]Dung T. Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Neural state classification for hybrid systems. SNR 2019: 24-27 - [p3]Axel Legay, Anna Lukina, Louis-Marie Traonouez, Junxing Yang, Scott A. Smolka, Radu Grosu:
Statistical Model Checking. Computing and Software Science 2019: 478-504 - [e2]Ezio Bartocci, Rance Cleaveland, Radu Grosu, Oleg Sokolsky:
From Reactive Systems to Cyber-Physical Systems - Essays Dedicated to Scott A. Smolka on the Occasion of His 65th Birthday. Lecture Notes in Computer Science 11500, Springer 2019, ISBN 978-3-030-31513-9 [contents] - [i38]Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time. CoRR abs/1903.04326 (2019) - [i37]Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Sinead Williamson:
Dynamic Nonparametric Edge-Clustering Model for Time-Evolving Sparse Networks. CoRR abs/1905.11724 (2019) - [i36]Dung T. Phan, Nicola Paoletti, Radu Grosu, Nils Jansen, Scott A. Smolka, Scott D. Stoller:
Neural Simplex Architecture. CoRR abs/1908.00528 (2019) - [i35]Shouvik Roy, Usama Mehmood, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Ashish Tiwari:
Neural Flocking: MPC-based Supervised Learning of Flocking Controllers. CoRR abs/1908.09813 (2019) - [i34]Elahe Ghalebi, Hamidreza Mahyar, Radu Grosu, Graham W. Taylor, Sinead A. Williamson:
A Nonparametric Bayesian Model for Sparse Temporal Multigraphs. CoRR abs/1910.05098 (2019) - 2018
- [j22]Stefan Jaksic, Ezio Bartocci, Radu Grosu, Thang Nguyen, Dejan Nickovic:
Quantitative monitoring of STL with edit distance. Formal Methods Syst. Des. 53(1): 83-112 (2018) - [j21]Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elaheh Ghalebi, Ali Nazemian, Radu Grosu, Ali Movaghar, Hamid R. Rabiee:
Identifying central nodes for information flow in social networks using compressive sensing. Soc. Netw. Anal. Min. 8(1): 33:1-33:24 (2018) - [j20]Stefan Jaksic, Ezio Bartocci, Radu Grosu, Dejan Nickovic:
An Algebraic Framework for Runtime Verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2233-2243 (2018) - [c115]Dung T. Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Neural State Classification for Hybrid Systems. ATVA 2018: 422-440 - [c114]Radu Grosu, Elahe Ghalebi K., Ali Movaghar, Hamidreza Mahyar:
Compressed Sensing in Cyber Physical Social Systems. Principles of Modeling 2018: 287-305 - [c113]Jacek Cyranka, Md. Ariful Islam, Scott A. Smolka, Sicun Gao, Radu Grosu:
Tight Continuous-Time Reachtubes for Lagrangian Reachability. CDC 2018: 6854-6861 - [c112]Hamidreza Mahyar, Rouzbeh Hasheminezhad, Elahe Ghalebi K., Radu Grosu, Harry Eugene Stanley:
A Compressive Sensing Framework for Distributed Detection of High Closeness Centrality Nodes in Networks. COMPLEX NETWORKS (2) 2018: 91-103 - [c111]Anna Lukina, Ashish Tiwari, Scott A. Smolka, Lukas Esterle, Junxing Yang, Radu Grosu:
Resilient Control and Safety for Cyber-Physical Systems. MT@CPSWeek 2018: 16-17 - [c110]Haris Isakovic, Denise Ratasich, Christian Hirsch, Michael Platzer, Bernhard Wally, Thomas Rausch, Dejan Nickovic, Willibald Krenn, Gerti Kappel, Schahram Dustdar, Radu Grosu:
CPS/IoT Ecosystem: A Platform for Research and Education. CyPhy/WESE 2018: 206-213 - [c109]Matt Schmittle, Anna Lukina, Lukas Vacek, Jnaneshwar Das, Christopher P. van Buskirk, Stephen A. Rees, Janos Sztipanovits, Radu Grosu, Vijay Kumar:
OpenUAV: a UAV testbed for the CPS and robotics community. ICCPS 2018: 130-139 - [c108]Anna Lukina, Arjun Kumar, Matt Schmittle, Abhijeet Singh, Jnaneshwar Das, Stephen A. Rees, Christopher P. van Buskirk, Janos Sztipanovits, Radu Grosu, Vijay Kumar:
Formation control and persistent monitoring in the openUAV swarm simulator on the NSF CPS-VO. ICCPS 2018: 353-354 - [c107]Guodong Wang, Mohamed Amin Ben Sassi, Radu Grosu:
A multi-bias recurrent neural network for modeling milling sensory data. ICPS 2018: 71-78 - [c106]Denise Ratasich, Thomas Preindl, Konstantin Selyunin, Radu Grosu:
Self-healing by property-guided structural adaptation. ICPS 2018: 199-205 - [c105]Peter Tulala, Hamidreza Mahyar, Elahe Ghalebi K., Radu Grosu:
Unsupervised Wafermap Patterns Clustering via Variational Autoencoders. IJCNN 2018: 1-8 - [c104]Niveditha Manjunath, Dieter Haerle, Stephen Sabanal, Herbert Eichinger, Hermann Tauber, Andreas Machne, Christian Manthey, Mikko Vaananen, Radu Grosu, Dejan Nickovic:
Production Tests Coverage Analysis in the Simulation Environment. ITC 2018: 1-7 - [c103]Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec:
Dynamic Network Model from Partial Observations. NeurIPS 2018: 9884-9894 - [c102]Usama Mehmood, Nicola Paoletti, Dung T. Phan, Radu Grosu, Shan Lin, Scott D. Stoller, Ashish Tiwari, Junxing Yang, Scott A. Smolka:
Declarative vs rule-based control for flocking dynamics. SAC 2018: 816-823 - [i33]Stefan Jaksic, Ezio Bartocci, Radu Grosu, Dejan Nickovic:
An Algebraic Framework for Runtime Verification. CoRR abs/1802.03775 (2018) - [i32]Mathias Lechner, Ramin M. Hasani, Radu Grosu:
Neuronal Circuit Policies. CoRR abs/1803.08554 (2018) - [i31]Anna Lukina, Ashish Tiwari, Scott A. Smolka, Radu Grosu:
Adaptive Neighborhood Resizing for Stochastic Reachability in Multi-Agent Systems. CoRR abs/1805.07929 (2018) - [i30]Elahe Ghalebi K., Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec:
Dynamic Network Model from Partial Observations. CoRR abs/1805.10616 (2018) - [i29]Dung T. Phan, Nicola Paoletti, Timothy Zhang, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Neural State Classification for Hybrid Systems. CoRR abs/1807.09901 (2018) - [i28]Ramin M. Hasani, Alexander Amini, Mathias Lechner, Felix Naser, Radu Grosu, Daniela Rus:
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. CoRR abs/1809.03864 (2018) - [i27]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. CoRR abs/1809.04423 (2018) - [i26]Jacek Cyranka, Md. Ariful Islam, Scott A. Smolka, Sicun Gao, Radu Grosu:
Tight Continuous-Time Reachtubes for Lagrangian Reachability. CoRR abs/1809.07450 (2018) - [i25]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. CoRR abs/1810.06870 (2018) - [i24]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Recurrent Neural Networks as Universal Approximators. CoRR abs/1811.00321 (2018) - 2017
- [j19]Dung T. Phan, Junxing Yang, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Collision avoidance for mobile robots with limited sensing and limited information about moving obstacles. Formal Methods Syst. Des. 51(1): 62-86 (2017) - [j18]Yungang Zhu, Hongying Duan, Xinhua Wang, Baokui Zhou, Guodong Wang, Radu Grosu:
Gaussian convex evidence theory for ordered and fuzzy evidence fusion. J. Intell. Fuzzy Syst. 33(5): 2843-2849 (2017) - [j17]Yungang Zhu, Dayou Liu, Radu Grosu, Xinhua Wang, Hongying Duan, Guodong Wang:
A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres. Sensors 17(9): 2049 (2017) - [j16]Seyed Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, Elahe Ghalebi K., Radu Grosu, Ali Movaghar:
HellRank: a Hellinger-based centrality measure for bipartite social networks. Soc. Netw. Anal. Min. 7(1): 22:1-22:16 (2017) - [c101]Dung T. Phan, Junxing Yang, Matthew Clark, Radu Grosu, John D. Schierman, Scott A. Smolka, Scott D. Stoller:
A Component-Based Simplex Architecture for High-Assurance Cyber-Physical Systems. ACSD 2017: 49-58 - [c100]Ashish Tiwari, Scott A. Smolka, Lukas Esterle, Anna Lukina, Junxing Yang, Radu Grosu:
Attacking the V: On the Resiliency of Adaptive-Horizon MPC. ATVA 2017: 446-462 - [c99]Konstantin Selyunin, Stefan Jaksic, Thang Nguyen, Christian Reidl, Udo Hafner, Ezio Bartocci, Dejan Nickovic, Radu Grosu:
Runtime Monitoring with Recovery of the SENT Communication Protocol. CAV (1) 2017: 336-355 - [c98]Jacek Cyranka, Md. Ariful Islam, Greg Byrne, Paul L. Jones, Scott A. Smolka, Radu Grosu:
Lagrangian Reachabililty. CAV (1) 2017: 379-400 - [c97]Houssam Abbas, Alëna Rodionova, Ezio Bartocci, Scott A. Smolka, Radu Grosu:
Quantitative Regular Expressions for Arrhythmia Detection Algorithms. CMSB 2017: 23-39 - [c96]Guodong Wang, Ramin M. Hasani, Yungang Zhu, Radu Grosu:
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. ICIT 2017: 1450-1454 - [c95]Ramin M. Hasani, Dieter Haerle, Christian F. Baumgartner, Alessio R. Lomuscio, Radu Grosu:
Compositional neural-network modeling of complex analog circuits. IJCNN 2017: 2235-2242 - [c94]Denise Ratasich, Oliver Höftberger, Haris Isakovic, Muhammad Shafique, Radu Grosu:
A Self-Healing Framework for Building Resilient Cyber-Physical Systems. ISORC 2017: 133-140 - [c93]Ramin M. Hasani, Guodong Wang, Radu Grosu:
Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. IWANN (2) 2017: 392-402 - [c92]Konstantin Selyunin, Ramin M. Hasani, Denise Ratasich, Ezio Bartocci, Radu Grosu:
Computing with Biophysical and Hardware-Efficient Neural Models. IWANN (1) 2017: 535-547 - [c91]Haris Isakovic, Radu Grosu, Denise Ratasich, Jiri Kadlec, Zdenek Pohl, Steve Kerrison, Kyriakos Georgiou, Kerstin Eder, Norbert Druml, Lillian Tadros, Flemming Christensen, Emilie Wheatley, Bastian Farkas, Rolf Meyer, Mladen Berekovic:
A Survey of Hardware Technologies for Mixed-Critical Integration Explored in the Project EMC^2. SAFECOMP Workshops 2017: 127-140 - [c90]Anna Lukina, Lukas Esterle, Christian Hirsch, Ezio Bartocci, Junxing Yang, Ashish Tiwari, Scott A. Smolka, Radu Grosu:
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans. TACAS (2) 2017: 286-302 - [c89]Seyed Mohammad Taheri, Hamidreza Mahyar, Mohammad Firouzi, Elahe Ghalebi K., Radu Grosu, Ali Movaghar:
Extracting Implicit Social Relation for Social Recommendation Techniques in User Rating Prediction. WWW (Companion Volume) 2017: 1343-1351 - [p2]Alëna Rodionova, Ezio Bartocci, Dejan Nickovic, Radu Grosu:
Temporal Logic as Filtering. Dependable Software Systems Engineering 2017: 164-185 - [i23]Scott A. Smolka, Ashish Tiwari, Lukas Esterle, Anna Lukina, Junxing Yang, Radu Grosu:
Attacking the V: On the Resiliency of Adaptive-Horizon MPC. CoRR abs/1702.00290 (2017) - [i22]Dung T. Phan, Scott A. Smolka, Radu Grosu, Usama Mehmood, Scott D. Stoller, Junxing Yang:
Model Checking Cyber-Physical Systems using Particle Swarm Optimization. CoRR abs/1703.01257 (2017) - [i21]Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu:
Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans. CoRR abs/1703.06264 (2017) - [i20]Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu:
SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans. CoRR abs/1703.06270 (2017) - [i19]Ramin M. Hasani, Guodong Wang, Radu Grosu:
An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. CoRR abs/1703.06272 (2017) - [i18]Dung T. Phan, Junxing Yang, Matthew Clark, Radu Grosu, John D. Schierman, Scott A. Smolka, Scott D. Stoller:
A Component-Based Simplex Architecture for High-Assurance Cyber-Physical Systems. CoRR abs/1704.04759 (2017) - [i17]Jacek Cyranka, Md. Ariful Islam, Greg Byrne, Paul L. Jones, Scott A. Smolka, Radu Grosu:
Lagrangian Reachabililty. CoRR abs/1705.05927 (2017) - [i16]Usama Mehmood, Nicola Paoletti, Dung T. Phan, Radu Grosu, Shan Lin, Scott D. Stoller, Ashish Tiwari, Junxing Yang, Scott A. Smolka:
Declarative vs Rule-based Control for Flocking Dynamics. CoRR abs/1710.10013 (2017) - [i15]Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani:
Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording. CoRR abs/1711.01436 (2017) - [i14]Mathias Lechner, Radu Grosu, Ramin M. Hasani:
Worm-level Control through Search-based Reinforcement Learning. CoRR abs/1711.03467 (2017) - [i13]Dung T. Phan, Radu Grosu, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller:
How to Learn a Model Checker. CoRR abs/1712.01935 (2017) - 2016
- [j15]Lukas Esterle, Radu Grosu:
Cyber-physical systems: challenge of the 21st century. Elektrotech. Informationstechnik 133(7): 299-303 (2016) - [j14]Sergiy Bogomolov, Alexandre Donzé, Goran Frehse, Radu Grosu, Taylor T. Johnson, Hamed Ladan, Andreas Podelski, Martin Wehrle:
Guided search for hybrid systems based on coarse-grained space abstractions. Int. J. Softw. Tools Technol. Transf. 18(4): 449-467 (2016) - [c88]Md. Ariful Islam, Hyun-Kyung Lim, Nicola Paoletti, Houssam Abbas, Zhihao Jiang, Jacek Cyranka, Rance Cleaveland, Sicun Gao, Edmund M. Clarke, Radu Grosu, Rahul Mangharam, Elizabeth Cherry, Flavio H. Fenton, Richard A. Gray, James Glimm, Shan Lin, Qinsi Wang, Scott A. Smolka:
CyberCardia project: Modeling, verification and validation of implantable cardiac devices. BIBM 2016: 1445-1452 - [c87]Md. Ariful Islam, Greg Byrne, Soonho Kong, Edmund M. Clarke, Rance Cleaveland, Flavio H. Fenton, Radu Grosu, Paul L. Jones, Scott A. Smolka:
Bifurcation Analysis of Cardiac Alternans Using \delta -Decidability. CMSB 2016: 132-146 - [c86]Junxing Yang, Radu Grosu, Scott A. Smolka, Ashish Tiwari:
Love Thy Neighbor: V-Formation as a Problem of Model Predictive Control. CONCUR 2016: 4:1-4:5 - [c85]Konstantin Selyunin, Thang Nguyen, Ezio Bartocci, Dejan Nickovic, Radu Grosu:
Monitoring of MTL specifications with IBM's spiking-neuron model. DATE 2016: 924-929 - [c84]Md. Ariful Islam, Qinsi Wang, Ramin M. Hasani, Ondrej Balun, Edmund M. Clarke, Radu Grosu, Scott A. Smolka:
Probabilistic reachability analysis of the tap withdrawal circuit in caenorhabditis elegans. HLDVT 2016: 170-177 - [c83]Hui Kong, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu, Thomas A. Henzinger, Yu Jiang, Christian Schilling:
Discrete Abstraction of Multiaffine Systems. HSB 2016: 128-144 - [c82]Alëna Rodionova, Ezio Bartocci, Dejan Nickovic, Radu Grosu:
Temporal Logic as Filtering. HSCC 2016: 11-20 - [c81]Haris Isakovic, Radu Grosu:
A heterogeneous time-triggered architecture on a hybrid system-on-a-chip platform. ISIE 2016: 244-253 - [c80]Kenan Kalajdzic, Cyrille Jégourel, Anna Lukina, Ezio Bartocci, Axel Legay, Scott A. Smolka, Radu Grosu:
Feedback Control for Statistical Model Checking of Cyber-Physical Systems. ISoLA (1) 2016: 46-61 - [c79]Thang Nguyen, Ezio Bartocci, Dejan Nickovic, Radu Grosu, Stefan Jaksic, Konstantin Selyunin:
The HARMONIA Project: Hardware Monitoring for Automotive Systems-of-Systems. ISoLA (2) 2016: 371-379 - [c78]Amit Gurung, Arup Deka, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu, Rajarshi Ray:
Parallel reachability analysis for hybrid systems. MEMOCODE 2016: 12-22 - [c77]Stefan Jaksic, Ezio Bartocci, Radu Grosu, Dejan Nickovic:
Quantitative Monitoring of STL with Edit Distance. RV 2016: 201-218 - [c76]Konstantin Selyunin, Thang Nguyen, Ezio Bartocci, Radu Grosu:
Applying Runtime Monitoring for Automotive Electronic Development. RV 2016: 462-469 - [i12]Amit Gurung, Arup Deka, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu, Rajarshi Ray:
Parallel Reachability Analysis for Hybrid Systems. CoRR abs/1606.05473 (2016) - [i11]Anna Lukina, Lukas Esterle, Christian Hirsch, Ezio Bartocci, Junxing Yang, Ashish Tiwari, Scott A. Smolka, Radu Grosu:
ARES: Adaptive Receding-Horizon Synthesis of Optimal Plans. CoRR abs/1612.07059 (2016) - [i10]Houssam Abbas, Alëna Rodionova, Ezio Bartocci, Scott A. Smolka, Radu Grosu:
Regular Expressions for Irregular Rhythms. CoRR abs/1612.07770 (2016) - 2015
- [j13]Md. Ariful Islam, Abhishek Murthy, Ezio Bartocci, Elizabeth Cherry, Flavio H. Fenton, James Glimm, Scott A. Smolka, Radu Grosu:
Model-order reduction of ion channel dynamics using approximate bisimulation. Theor. Comput. Sci. 599: 34-46 (2015) - [c75]Konstantin Selyunin, Denise Ratasich, Ezio Bartocci, Md. Ariful Islam, Scott A. Smolka, Radu Grosu:
Neural Programming: Towards adaptive control in Cyber-Physical Systems. CDC 2015: 6978-6985 - [c74]Md. Ariful Islam, Richard DeFrancisco, Chuchu Fan, Radu Grosu, Sayan Mitra, Scott A. Smolka:
Model Checking Tap Withdrawal in C. Elegans. HSB 2015: 195-210 - [c73]Rajarshi Ray, Amit Gurung, Binayak Das, Ezio Bartocci, Sergiy Bogomolov, Radu Grosu:
XSpeed: Accelerating Reachability Analysis on Multi-core Processors. Haifa Verification Conference 2015: 3-18 - [c72]Sergiy Bogomolov, Christian Schilling, Ezio Bartocci, Grégory Batt, Hui Kong, Radu Grosu:
Abstraction-Based Parameter Synthesis for Multiaffine Systems. Haifa Verification Conference 2015: 19-35 - [c71]Abhishek Murthy, Md. Ariful Islam, Scott A. Smolka, Radu Grosu:
Computing bisimulation functions using SOS optimization and δ-decidability over the reals. HSCC 2015: 78-87 - [c70]Iman Haghighi, Austin Jones, Zhaodan Kong, Ezio Bartocci, Radu Grosu, Calin Belta:
SpaTeL: a novel spatial-temporal logic and its applications to networked systems. HSCC 2015: 189-198 - [c69]Denise Ratasich, Bernhard Frömel, Oliver Höftberger, Radu Grosu:
Generic sensor fusion package for ROS. IROS 2015: 286-291 - [c68]Stefan Jaksic, Ezio Bartocci, Radu Grosu, Reinhard Kloibhofer, Thang Nguyen, Dejan Nickovic:
From signal temporal logic to FPGA monitors. MEMOCODE 2015: 218-227 - [c67]Dung T. Phan, Junxing Yang, Denise Ratasich, Radu Grosu, Scott A. Smolka, Scott D. Stoller:
Collision Avoidance for Mobile Robots with Limited Sensing and Limited Information About the Environment. RV 2015: 201-215 - [i9]Konstantin Selyunin, Denise Ratasich, Ezio Bartocci, Radu Grosu:
Deep Neural Programs for Adaptive Control in Cyber-Physical Systems. CoRR abs/1502.04013 (2015) - [i8]Md. Ariful Islam, Richard DeFrancisco, Chuchu Fan, Radu Grosu, Sayan Mitra, Scott A. Smolka:
Model Checking Tap Withdrawal in C. Elegans. CoRR abs/1503.06480 (2015) - [i7]Alëna Rodionova, Ezio Bartocci, Dejan Nickovic, Radu Grosu:
Temporal Logic as Filtering. CoRR abs/1510.08079 (2015) - 2014
- [c66]Radu Grosu, Doron A. Peled, C. R. Ramakrishnan, Scott A. Smolka, Scott D. Stoller, Junxing Yang:
Compositional Branching-Time Measurements. FPS@ETAPS 2014: 118-128 - [c65]Sergiy Bogomolov, Goran Frehse, Marius Greitschus, Radu Grosu, Corina S. Pasareanu, Andreas Podelski, Thomas Strump:
Assume-Guarantee Abstraction Refinement Meets Hybrid Systems. Haifa Verification Conference 2014: 116-131 - [c64]Md. Ariful Islam, Abhishek Murthy, Antoine Girard, Scott A. Smolka, Radu Grosu:
Compositionality results for cardiac cell dynamics. HSCC 2014: 243-252 - [c63]Radu Grosu, Doron A. Peled, C. R. Ramakrishnan, Scott A. Smolka, Scott D. Stoller, Junxing Yang:
Using Statistical Model Checking for Measuring Systems. ISoLA (2) 2014: 223-238 - [c62]Radu Grosu, Elizabeth Cherry, Edmund M. Clarke, Rance Cleaveland, Sanjay Dixit, Flavio H. Fenton, Sicun Gao, James Glimm, Richard A. Gray, Rahul Mangharam, Arnab Ray, Scott A. Smolka:
Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems with Application to Patient-Specific Cardiac Dynamics and Devices. ISoLA (2) 2014: 356-364 - [i6]Ruth Breu, Radu Grosu, Franz Huber, Bernhard Rumpe, Wolfgang Schwerin:
Towards a Precise Semantics for Object-Oriented Modeling Techniques. CoRR abs/1409.6930 (2014) - [i5]Ruth Breu, Radu Grosu, Christoph Hofmann, Franz Huber, Ingolf Krüger, Bernhard Rumpe, Monika Schmidt, Wolfgang Schwerin:
Exemplary and Complete Object Interaction Descriptions. CoRR abs/1409.7231 (2014) - [i4]Radu Grosu, Bernhard Rumpe:
Concurrent Timed Port Automata. CoRR abs/1411.6027 (2014) - [i3]Ruth Breu, Radu Grosu, Franz Huber, Bernhard Rumpe, Wolfgang Schwerin:
Systems, Views and Models of UML. CoRR abs/1412.2458 (2014) - [i2]Radu Grosu, Cornel Klein, Bernhard Rumpe:
Enhancing the SysLab System Model with State. CoRR abs/1412.2461 (2014) - [i1]Ezio Bartocci, Oliver Höftberger, Radu Grosu:
Cyber-Physical Systems: Theoretical and Practical Challenges. ERCIM News 2014(97) (2014) - 2013
- [j12]Abhishek Murthy, Ezio Bartocci, Flavio H. Fenton, James Glimm, Richard A. Gray, Elizabeth Cherry, Scott A. Smolka, Radu Grosu:
Curvature Analysis of Cardiac Excitation Wavefronts. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 323-336 (2013) - [c61]Kenan Kalajdzic, Ezio Bartocci, Scott A. Smolka, Scott D. Stoller, Radu Grosu:
Runtime Verification with Particle Filtering. RV 2013: 149-166 - [c60]Sergiy Bogomolov, Alexandre Donzé, Goran Frehse, Radu Grosu, Taylor T. Johnson, Hamed Ladan, Andreas Podelski, Martin Wehrle:
Abstraction-Based Guided Search for Hybrid Systems. SPIN 2013: 117-134 - [c59]Ezio Bartocci, Radu Grosu:
Monitoring with uncertainty. HAS 2013: 1-4 - 2012
- [j11]Justin Seyster, Ketan Dixit, Xiaowan Huang, Radu Grosu, Klaus Havelund, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
InterAspect: aspect-oriented instrumentation with GCC. Formal Methods Syst. Des. 41(3): 295-320 (2012) - [j10]Xiaowan Huang, Justin Seyster, Sean Callanan, Ketan Dixit, Radu Grosu, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
Software monitoring with controllable overhead. Int. J. Softw. Tools Technol. Transf. 14(3): 327-347 (2012) - [c58]Alexandre Donzé, Oded Maler, Ezio Bartocci, Dejan Nickovic, Radu Grosu, Scott A. Smolka:
On Temporal Logic and Signal Processing. ATVA 2012: 92-106 - [c57]Sergiy Bogomolov, Goran Frehse, Radu Grosu, Hamed Ladan, Andreas Podelski, Martin Wehrle:
A Box-Based Distance between Regions for Guiding the Reachability Analysis of SpaceEx. CAV 2012: 479-494 - [c56]Abhishek Murthy, Md. Ariful Islam, Ezio Bartocci, Elizabeth Cherry, Flavio H. Fenton, James Glimm, Scott A. Smolka, Radu Grosu:
Approximate Bisimulations for Sodium Channel Dynamics. CMSB 2012: 267-287 - [c55]Ezio Bartocci, Radu Grosu, Atul Karmarkar, Scott A. Smolka, Scott D. Stoller, Erez Zadok, Justin Seyster:
Adaptive Runtime Verification. RV 2012: 168-182 - 2011
- [c54]Radu Grosu, Grégory Batt, Flavio H. Fenton, James Glimm, Colas Le Guernic, Scott A. Smolka, Ezio Bartocci:
From Cardiac Cells to Genetic Regulatory Networks. CAV 2011: 396-411 - [c53]Ezio Bartocci, Elizabeth Cherry, James Glimm, Radu Grosu, Scott A. Smolka, Flavio H. Fenton:
Toward real-time simulation of cardiac dynamics. CMSB 2011: 103-112 - [c52]Abhishek Murthy, Ezio Bartocci, Flavio H. Fenton, James Glimm, Richard A. Gray, Scott A. Smolka, Radu Grosu:
Curvature analysis of cardiac excitation wavefronts. CMSB 2011: 151-160 - [c51]Zhichao Li, Radu Grosu, Koundinya Muppalla, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
Model discovery for energy-aware computing systems: An experimental evaluation. IGCC 2011: 1-6 - [c50]Scott D. Stoller, Ezio Bartocci, Justin Seyster, Radu Grosu, Klaus Havelund, Scott A. Smolka, Erez Zadok:
Runtime Verification with State Estimation. RV 2011: 193-207 - [c49]Radu Grosu, Flavio H. Fenton, Scott A. Smolka, Ezio Bartocci:
A Change of Perspective Yields Formal Analysis. SEW 2011: 69-76 - [c48]Zhichao Li, Radu Grosu, Priya Sehgal, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
On the energy consumption and performance of systems software. SYSTOR 2011: 8 - [c47]Ezio Bartocci, Radu Grosu, Panagiotis Katsaros, C. R. Ramakrishnan, Scott A. Smolka:
Model Repair for Probabilistic Systems. TACAS 2011: 326-340 - [e1]Marco Caccamo, Emilio Frazzoli, Radu Grosu:
Proceedings of the 14th ACM International Conference on Hybrid Systems: Computation and Control, HSCC 2011, Chicago, IL, USA, April 12-14, 2011. ACM 2011, ISBN 978-1-4503-0629-4 [contents] - 2010
- [c46]Justin Seyster, Ketan Dixit, Xiaowan Huang, Radu Grosu, Klaus Havelund, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
Aspect-Oriented Instrumentation with GCC. RV 2010: 405-420 - [c45]Radu Grosu:
The Cayley-Hamilton Theorem for Noncommutative Semirings. CIAA 2010: 143-153
2000 – 2009
- 2009
- [j9]Radu Grosu, Scott A. Smolka, Flavio Corradini, Anita Wasilewska, Emilia Entcheva, Ezio Bartocci:
Learning and detecting emergent behavior in networks of cardiac myocytes. Commun. ACM 52(3): 97-105 (2009) - [j8]Ezio Bartocci, Flavio Corradini, Maria Rita Di Berardini, Emilia Entcheva, Scott A. Smolka, Radu Grosu:
Modeling and simulation of cardiac tissue using hybrid I/O automata. Theor. Comput. Sci. 410(33-34): 3149-3165 (2009) - [c44]Radu Grosu:
Finite Automata as Time-Inv Linear Systems Observability, Reachability and More. HSCC 2009: 194-208 - [c43]Zijiang Yang, Bashar Al-Rawi, Karem A. Sakallah, Xiaowan Huang, Scott A. Smolka, Radu Grosu:
Dynamic Path Reduction for Software Model Checking. IFM 2009: 322-336 - 2008
- [j7]Ezio Bartocci, Flavio Corradini, Emilia Entcheva, Radu Grosu, Scott A. Smolka:
CellExcite: an efficient simulation environment for excitable cells. BMC Bioinform. 9(S-2) (2008) - [c42]Ezio Bartocci, Flavio Corradini, Radu Grosu, Emanuela Merelli, Oliviero Riganelli, Scott A. Smolka:
StonyCam: A Formal Framework for Modeling, Analyzing and Regulating Cardiac Myocytes. Concurrency, Graphs and Models 2008: 493-502 - [c41]Pei Ye, Radu Grosu, Scott A. Smolka, Emilia Entcheva:
Formal Analysis of Abnormal Excitation in Cardiac Tissue. CMSB 2008: 141-155 - [c40]Oliviero Riganelli, Radu Grosu, Samir R. Das, C. R. Ramakrishnan, Scott A. Smolka:
Power Optimization in Fault-Tolerant Mobile Ad Hoc Networks. HASE 2008: 362-370 - [c39]Radu Grosu, Ezio Bartocci, Flavio Corradini, Emilia Entcheva, Scott A. Smolka, Anita Wasilewska:
Learning and Detecting Emergent Behavior in Networks of Cardiac Myocytes. HSCC 2008: 229-243 - [c38]Sean Callanan, David J. Dean, Michael Gorbovitski, Radu Grosu, Justin Seyster, Scott A. Smolka, Scott D. Stoller, Erez Zadok:
Software monitoring with bounded overhead. IPDPS 2008: 1-8 - [c37]Oliviero Riganelli, Radu Grosu, Scott A. Smolka:
Power Optimization in Fault-Tolerant MANETs. MASCOTS 2008: 379-380 - 2007
- [c36]Radu Grosu, Sayan Mitra, Pei Ye, Emilia Entcheva, I. V. Ramakrishnan, Scott A. Smolka:
Learning Cycle-Linear Hybrid Automata for Excitable Cells. HSCC 2007: 245-258 - [c35]Sean Callanan, Radu Grosu, Justin Seyster, Scott A. Smolka, Erez Zadok:
Model Predictive Control for Memory Profiling. IPDPS 2007: 1-7 - [c34]Ezio Bartocci, Flavio Corradini, Maria Rita Di Berardini, Emilia Entcheva, Radu Grosu, Scott A. Smolka:
Spatial Networks of Hybrid I/O Automata for Modeling Excitable Tissue. FBTC@CONCUR 2007: 51-67 - 2006
- [j6]Rajeev Alur, Radu Grosu, Insup Lee, Oleg Sokolsky:
Compositional modeling and refinement for hierarchical hybrid systems. J. Log. Algebraic Methods Program. 68(1-2): 105-128 (2006) - [c33]Mike R. True, Emilia Entcheva, Scott A. Smolka, Pei Ye, Radu Grosu:
Efficient Event-Driven Simulation of Excitable Hybrid Automata. EMBC 2006: 3150-3153 - [c32]Pei Ye, Emilia Entcheva, Scott A. Smolka, Mike R. True, Radu Grosu:
A Cycle-Linear Approach to Modeling Action Potentials. EMBC 2006: 3931-3934 - [c31]Pei Ye, Emilia Entcheva, Scott A. Smolka, Mike R. True, Radu Grosu:
Hybrid Automata as a Unifying Framework for Modeling Excitable Cells. EMBC 2006: 4151-4154 - [c30]Sean Callanan, Radu Grosu, Xiaowan Huang, Scott A. Smolka, Erez Zadok:
Compiler-assisted software verification using plug-ins. IPDPS 2006 - [c29]Radu Grosu, Xiaowan Huang, Scott A. Smolka, Wenkai Tan, Stavros Tripakis:
Deep Random Search for Efficient Model Checking of Timed Automata. Monterey Workshop 2006: 111-124 - [c28]Sean Callanan, Radu Grosu, Abhishek Rai, Scott A. Smolka, Mike R. True, Erez Zadok:
Runtime Verification for High-Confidence Systems: A Monte Carlo Approach. MBT 2006: 41-52 - 2005
- [c27]Radu Grosu, Scott A. Smolka:
Safety-Liveness Semantics for UML 2.0 Sequence Diagrams. ACSD 2005: 6-14 - [c26]Radu Grosu, Scott A. Smolka:
Monte Carlo Model Checking. TACAS 2005: 271-286 - [c25]Radu Grosu, Xiaowan Huang, Sumit Jain, Scott A. Smolka:
Open-Source Model Checking. SoftMC@CAV 2005: 27-44 - [c24]Radu Grosu, Scott A. Smolka:
Monte Carlo Methods for Process Algebra. APC 25 2005: 203-207 - 2004
- [j5]Rajeev Alur, Radu Grosu:
Modular refinement of hierarchic reactive machines. ACM Trans. Program. Lang. Syst. 26(2): 339-369 (2004) - [c23]Radu Grosu, Scott A. Smolka:
Quantitative Model checking. ISoLA (Preliminary proceedings) 2004: 165-174 - 2002
- [j4]Radu Grosu, Thomas Stauner:
Modular and Visual Specification of Hybrid Systems: An Introduction to HyCharts. Formal Methods Syst. Des. 21(1): 5-38 (2002) - [c22]Radu Grosu, Erez Zadok, Scott A. Smolka, Rance Cleaveland, Yanhong A. Liu:
High-confidence operating systems. ACM SIGOPS European Workshop 2002: 205-208 - 2001
- [j3]Radu Grosu, Ketil Stølen:
Stream-Based Specification of Mobile Systems. Formal Aspects Comput. 13(1): 1-31 (2001) - [c21]Rajeev Alur, Radu Grosu, Insup Lee, Oleg Sokolsky:
Compositional Refinement for Hierarchical Hybrid Systems. HSCC 2001: 33-48 - [c20]Rajeev Alur, Luca de Alfaro, Radu Grosu, Thomas A. Henzinger, M. Kang, Christoph M. Kirsch, Rupak Majumdar, Freddy Y. C. Mang, Bow-Yaw Wang:
JMOCHA: A Model Checking Tool that Exploits Design Structure. ICSE 2001: 835-836 - [c19]Rajeev Alur, Radu Grosu:
Shared Variables Interaction Diagrams. ASE 2001: 281-288 - [c18]Radu Grosu, Yanhong A. Liu, Scott A. Smolka, Scott D. Stoller, Jingyu Yan:
Automated Software Engineering Using Concurrent Class Machines. ASE 2001: 297- - 2000
- [j2]Radu Grosu, Dorel Lucanu, Gheorghe Stefanescu:
Mixed Relations as Enriched Semiringal Categories. J. Univers. Comput. Sci. 6(1): 112-129 (2000) - [c17]Rajeev Alur, Radu Grosu, Michael McDougall:
Efficient Reachability Analysis of Hierarchical Reactive Machines. CAV 2000: 280-295 - [c16]Rajeev Alur, Radu Grosu, Bow-Yaw Wang:
Automated Refinement Checking for Asynchronous Processes. FMCAD 2000: 55-72 - [c15]Rajeev Alur, Radu Grosu, Yerang Hur, Vijay Kumar, Insup Lee:
Modular Specification of Hybrid Systems in CHARON. HSCC 2000: 6-19 - [c14]Radu Grosu, Ingolf Krüger, Thomas Stauner:
Hybrid Sequence Charts. ISORC 2000: 104- - [c13]Radu Grosu:
And/Or Hierarchies and Round Abstraction. MFCS 2000: 52-63 - [c12]Rajeev Alur, Radu Grosu:
Modular Refinement of Hierarchic Reactive Machines. POPL 2000: 390-402
1990 – 1999
- 1999
- [c11]Klaus Bergner, Radu Grosu, Andreas Rausch, Alexander Schmidt, Peter Scholz, Manfred Broy:
Focusing on Mobility. HICSS 1999 - [c10]Radu Grosu, Ingolf Krüger, Thomas Stauner:
Requirements specification of an automotive system with hybrid sequence charts. WORDS (Fall) 1999: 149-151 - [p1]Radu Grosu, Manfred Broy, Bran Selic, Gheorghe Stefanescu:
What is Behind UML-RT? Behavioral Specifications of Businesses and Systems 1999: 75-90 - 1998
- [j1]Ruth Breu, Radu Grosu, Christoph Hofmann, Franz Huber, Ingolf Krüger, Bernhard Rumpe, Monika Schmidt, Wolfgang Schwerin:
Exemplary and complete object interaction descriptions. Comput. Stand. Interfaces 19(7): 335-345 (1998) - [c9]Radu Grosu, Gheorghe Stefanescu, Manfred Broy:
Visual Formalisms Revisited. ACSD 1998: 41-51 - [c8]Radu Grosu, Thomas Stauner, Manfred Broy:
A Modular Visual Model for Hybrid Systems. FTRTFT 1998: 75-91 - [c7]Ingolf Krüger, Radu Grosu, Peter Scholz, Manfred Broy:
From MSCs to Statecharts. DIPES 1998: 61-72 - 1997
- [c6]Ruth Breu, Radu Grosu, Franz Huber, Bernhard Rumpe, Wolfgang Schwerin:
Towards a Precise Semantics for Object-Oriented Modeling Techniques. ECOOP Workshops 1997: 205-210 - [c5]Ruth Breu, Radu Grosu:
Modeling the Dynamic Behavior of Objects on Events, Messages and Methods (Extended Abstract). Euro-Par 1997: 572-575 - [c4]Manfred Broy, Radu Grosu, Cornel Klein:
Reconciling Real-Time with Asynchronous Message Passing. FME 1997: 182-200 - [c3]Ruth Breu, Radu Grosu, Franz Huber, Bernhard Rumpe, Wolfgang Schwerin:
Systems, Views and Models of UML. UML Workshop 1997: 93-108 - 1996
- [c2]Radu Grosu, Ketil Stølen:
A Model for Mobile Point-to-Point Data-flow Networks without Channel Sharing. AMAST 1996: 504-519 - 1995
- [b1]Radu Grosu:
A formal foundation for concurrent object oriented programming. Technical University Munich, Germany, 1995, pp. 1-167 - 1993
- [c1]Radu Grosu, Franz Regensburger:
The Semantics of SPECTRUM. HOA 1993: 124-145
Coauthor Index
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