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ORCIDAlessandro Farinelli
Person information
- affiliation: University of Verona, Italy
- affiliation (until 2014): Sapienza University of Rome, Italy
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2020 – today
- 2023
[i22]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification problem: Counting Unsafe Inputs for Deep Neural Networks. CoRR abs/2301.07068 (2023)- [i21]Luca Marzari, Enrico Marchesini, Alessandro Farinelli:
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. CoRR abs/2302.06695 (2023) - [i20]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR abs/2302.10030 (2023) - [i19]Francesco Taioli, Francesco Giuliari, Yiming Wang, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections. CoRR abs/2303.03155 (2023) - [i18]Davide Corsi, Luca Marzari, Ameya Pore, Alessandro Farinelli, Alicia Casals, Paolo Fiorini, Diego Dall'Alba:
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. CoRR abs/2303.03207 (2023) - [i17]Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Soft Policy Guidance in POMCP. CoRR abs/2303.09172 (2023) - 2022
- [j44]Alberto Castellini
, Federico Bianchi, Alessandro Farinelli:
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. Appl. Intell. 52(9): 9621-9637 (2022) - [j43]Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. Frontiers Robotics AI 9 (2022) - [j42]Filippo Bistaffa, Georgios Chalkiadakis, Alessandro Farinelli:
Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. IEEE Trans. Cybern. 52(6): 5548-5558 (2022) - [c123]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Exploring Safer Behaviors for Deep Reinforcement Learning. AAAI 2022: 7701-7709 - [c122]Daniele Meli, Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
From POMDP Executions to Probabilistic Axioms. OVERLAY@AI*IA 2022: 93-98 - [c121]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Active Generation of Logical Rules for POMCP Shielding. AAMAS 2022: 1696-1698 - [c120]Francesco Trotti, Eros Ghignoni, Riccardo Muradore, Alessandro Farinelli:
Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario. IAS 2022: 737-749 - [c119]Enrico Marchesini, Alessandro Farinelli:
Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search. ICRA 2022: 5525-5531 - [c118]Martina Capuzzo, Andrea Zanella, Maddalena Zuccotto, Federico Cunico, Marco Cristani, Alberto Castellini, Alessandro Farinelli, Luciano Gamberini:
IoT Systems for Healthy and Safe Life Environments. RTSI 2022: 31-37 - [c117]Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli:
Learning state-variable relationships for improving POMCP performance. SAC 2022: 739-747 - [c116]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum learning for safe mapless navigation. SAC 2022: 766-769 - [i16]Adrià Fenoy, Filippo Bistaffa, Alessandro Farinelli:
An attention model for the formation of collectives in real-world domains. CoRR abs/2205.00215 (2022) - [i15]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. CoRR abs/2205.13536 (2022) - [i14]Davide Corsi, Raz Yerushalmi, Guy Amir, Alessandro Farinelli, David Harel, Guy Katz:
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming. CoRR abs/2206.09603 (2022) - 2021
- [j41]Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. Eng. Appl. Artif. Intell. 104: 104382 (2021) - [j40]Alberto Castellini, Federico Bianchi, Alessandro Farinelli:
Predictive Model Generation for Load Forecasting in District Heating Networks. IEEE Intell. Syst. 36(4): 86-95 (2021) - [j39]Antonello Contini, Alessandro Farinelli:
Coordination approaches for multi-item pickup and delivery in logistic scenarios. Robotics Auton. Syst. 146: 103871 (2021) - [j38]Filippo Bistaffa, Christian Blum, Jesús Cerquides, Alessandro Farinelli, Juan A. Rodríguez-Aguilar:
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers. IEEE Trans. Intell. Transp. Syst. 22(1): 119-130 (2021) - [c115]Maddalena Zuccotto, Alberto Castellini, Marco Piccinelli, Enrico Marchesini, Alessandro Farinelli:
Learning Environment Properties in Partially Observable Monte Carlo Planning. AIRO@AI*IA 2021: 50-57 - [c114]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shielding for Partially Observable Monte-Carlo Planning. ICAPS 2021: 243-251 - [c113]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. AAMAS 2021: 889-897 - [c112]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. OVERLAY@GandALF 2021: 19-23 - [c111]Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli:
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. ICAISC (2) 2021: 137-148 - [c110]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. ICAR 2021: 640-645 - [c109]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. ICLR 2021 - [c108]Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. IROS 2021: 1523-1530 - [c107]Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. IROS 2021: 4025-4031 - [c106]Enrico Marchesini, Alessandro Farinelli:
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. IROS 2021: 4583-4588 - [c105]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. IROS 2021: 5590-5595 - [c104]Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. UAI 2021: 333-343 - [i13]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. CoRR abs/2102.04022 (2021) - [i12]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shielding for Partially Observable Monte-Carlo Planning. CoRR abs/2104.13791 (2021) - [i11]Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. CoRR abs/2107.00914 (2021) - [i10]Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. CoRR abs/2109.02323 (2021) - [i9]Enrico Marchesini, Alessandro Farinelli:
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. CoRR abs/2112.09012 (2021) - [i8]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. CoRR abs/2112.10593 (2021) - [i7]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum Learning for Safe Mapless Navigation. CoRR abs/2112.12490 (2021) - 2020
- [j37]Masoume M. Raeissi, Alessandro Farinelli:
Cooperative Queuing Policies for Effective Scheduling of Operator Intervention. Auton. Robots 44(3-4): 617-626 (2020) - [j36]Riccardo Sartea, Alessandro Farinelli, Matteo Murari:
SECUR-AMA: Active Malware Analysis Based on Monte Carlo Tree Search for Android Systems. Eng. Appl. Artif. Intell. 87 (2020) - [j35]Alberto Castellini, Manuele Bicego, Francesco Masillo, Maddalena Zuccotto, Alessandro Farinelli:
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Eng. Appl. Artif. Intell. 90: 103499 (2020) - [j34]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo:
Biclustering with dominant sets. Pattern Recognit. 104: 107318 (2020) - [j33]Lorenzo Steccanella, Domenico Daniele Bloisi, Alberto Castellini, Alessandro Farinelli:
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. Robotics Auton. Syst. 124: 103346 (2020) - [c103]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach. AIRO@AI*IA 2020: 44-48 - [c102]Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni:
HMMs for Anomaly Detection in Autonomous Robots. AAMAS 2020: 105-113 - [c101]Riccardo Sartea, Georgios Chalkiadakis, Alessandro Farinelli, Matteo Murari:
Bayesian Active Malware Analysis. AAMAS 2020: 1206-1214 - [c100]Alessandro Farinelli, Antonello Contini, Davide Zorzi:
Decentralized Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios. AAMAS 2020: 1843-1845 - [c99]Enrico Marchesini, Alessandro Farinelli:
Genetic Deep Reinforcement Learning for Mapless Navigation. AAMAS 2020: 1919-1921 - [c98]Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. BMVC 2020 - [c97]Huan Vu, Samir Aknine, Sarvapali D. Ramchurn, Alessandro Farinelli:
Decentralised Multi-intersection Congestion Control for Connected Autonomous Vehicles. EUMAS/AT 2020: 37-51 - [c96]Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli:
Explaining the Influence of Prior Knowledge on POMCP Policies. EUMAS/AT 2020: 261-276 - [c95]Matteo Murari, Alessandro Farinelli, Riccardo Sartea:
A Game of Double Agents: Repeated Stackelberg Games with Role Switch. EUMAS/AT 2020: 529-545 - [c94]Enrico Marchesini, Alessandro Farinelli:
Discrete Deep Reinforcement Learning for Mapless Navigation. ICRA 2020: 10688-10694 - [c93]Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Paolo Fiorini:
Formal Verification for Safe Deep Reinforcement Learning in Trajectory Generation. IRC 2020: 352-359 - [c92]Federico Bianchi, Pietro Tarocco, Alberto Castellini, Alessandro Farinelli:
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. LOD (1) 2020: 244-256 - [c91]Federico Bianchi, Francesco Masillo, Alberto Castellini, Alessandro Farinelli:
XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. LOD (1) 2020: 601-612 - [i6]Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. CoRR abs/2009.08140 (2020) - [i5]Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification. CoRR abs/2010.09387 (2020) - [i4]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach. CoRR abs/2012.12732 (2020)
2010 – 2019
- 2019
- [j32]Alberto Castellini, Manuele Bicego, Domenico Bloisi, Jason Blum, Francesco Masillo, Sergio Peignier, Alessandro Farinelli:
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. Cybern. Syst. 50(8): 658-671 (2019) - [j31]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Orienteering-based informative path planning for environmental monitoring. Eng. Appl. Artif. Intell. 77: 46-58 (2019) - [j30]Michele Roncalli, Filippo Bistaffa, Alessandro Farinelli:
Decentralized Power Distribution in the Smart Grid with Ancillary Lines - An Approach Based on Distributed Constraint Optimization. Mob. Networks Appl. 24(5): 1654-1662 (2019) - [j29]Fernando Lezama, Jorge Palominos, Ansel Y. Rodríguez González, Alessandro Farinelli, Enrique Munoz de Cote:
Agent-Based Microgrid Scheduling: An ICT Perspective. Mob. Networks Appl. 24(5): 1682-1698 (2019) - [c90]Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. AIRO@AI*IA 2019: 25-32 - [c89]Riccardo Sartea, Alessandro Farinelli, Matteo Murari:
Agent Behavioral Analysis Based on Absorbing Markov Chains. AAMAS 2019: 647-655 - [c88]Alberto Castellini, Francesco Masillo, Riccardo Sartea, Alessandro Farinelli:
eXplainable Modeling (XM): Data Analysis for Intelligent Agents. AAMAS 2019: 2342-2344 - [c87]Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale:
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) 2019: 438-449 - [c86]Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli:
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. IJCAI 2019: 5540-5546 - [c85]Enrico Marchesini, Davide Corsi, Andrea Benfatti, Alessandro Farinelli, Paolo Fiorini:
Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator. IRC 2019: 421-422 - [c84]Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi:
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. IROS 2019: 984-989 - [c83]Stefano Aldegheri, Nicola Bombieri, Domenico Daniele Bloisi, Alessandro Farinelli:
Data Flow ORB-SLAM for Real-time Performance on Embedded GPU Boards. IROS 2019: 5370-5375 - [c82]Federico Bianchi, Alberto Castellini, Pietro Tarocco, Alessandro Farinelli:
Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. LOD 2019: 553-565 - [c81]Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier:
Subspace clustering for situation assessment in aquatic drones. SAC 2019: 930-937 - [e3]Salvatore Maria Anzalone, Alessandro Farinelli, Alberto Finzi, Fulvio Mastrogiovanni:
Proceedings of the 5th Italian Workshop on Artificial Intelligence and Robotics - A workshop of the XVII International Conference of the Italian Association for Artificial Intelligence, AIRO@AI*IA 2018, Trento, Italy, November 22-23, 2018. CEUR Workshop Proceedings 2352, CEUR-WS.org 2019 [contents] - [i3]Lorenzo Bottarelli, Alessandro Farinelli:
A QUBO Model for Gaussian Process Variance Reduction. CoRR abs/1901.10982 (2019) - 2018
- [j28]Harel Yedidsion, Roie Zivan, Alessandro Farinelli:
Applying max-sum to teams of mobile sensing agents. Eng. Appl. Artif. Intell. 71: 87-99 (2018) - [j27]Filippo Bistaffa, Alessandro Farinelli:
A COP Model For Graph-Constrained Coalition Formation. J. Artif. Intell. Res. 62: 133-153 (2018) - [j26]Manuele Bicego, Alessandro Farinelli, Enrico Grosso, D. Paolini, Sarvapali D. Ramchurn:
On the distinctiveness of the electricity load profile. Pattern Recognit. 74: 317-325 (2018) - [j25]James Parker, Alessandro Farinelli, Maria L. Gini:
Lazy max-sum for allocation of tasks with growing costs. Robotics Auton. Syst. 110: 44-56 (2018) - [j24]Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli, Riccardo Mengoni:
Biclustering with a quantum annealer. Soft Comput. 22(18): 6247-6260 (2018) - [c80]Alberto Castellini, Jason Blum, Domenico Bloisi, Alessandro Farinelli:
Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs. AIRO@AI*IA 2018: 24-28 - [c79]Riccardo Sartea, Alessandro Farinelli:
Detection of Intelligent Agent Behaviors Using Markov Chains. AAMAS 2018: 2064-2066 - [c78]Masoume M. Raeissi, Alessandro Farinelli:
Learning Queuing Strategies in Human-Multi-Robot Interaction. AAMAS 2018: 2207-2209 - [c77]Lorenzo Steccanella, Domenico Bloisi, Jason Blum, Alessandro Farinelli:
Deep Learning Waterline Detection for Low-Cost Autonomous Boats. IAS 2018: 613-625 - [c76]Filippo Bistaffa, Alessandro Farinelli:
A COP Model for Graph-Constrained Coalition Formation (Extended Abstract). IJCAI 2018: 5553-5557 - [c75]Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli:
Unsupervised activity recognition for autonomous water drones. SAC 2018: 840-842 - [e2]Salvatore Maria Anzalone, Alessandro Farinelli, Alberto Finzi, Fulvio Mastrogiovanni:
Proceedings of the 4th Italian Workshop on Artificial Intelligence and Robotics A workshop of the XVI International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), Bari, Italy, November 14-15, 2017. CEUR Workshop Proceedings 2054, CEUR-WS.org 2018 [contents] - [i2]Masoume M. Raeissi, Alessandro Farinelli:
Cooperative Queuing Policies for Effective Human-Multi-Robot Interaction. CoRR abs/1806.07123 (2018) - 2017
- [j23]Alessandro Farinelli, Masoume M. Raeissi, Nicoló Marchi, Nathan Brooks, Paul Scerri:
Interacting with team oriented plans in multi-robot systems. Auton. Agents Multi Agent Syst. 31(2): 332-361 (2017) - [j22]Filippo Bistaffa, Alessandro Farinelli, Georgios Chalkiadakis, Sarvapali D. Ramchurn:
A cooperative game-theoretic approach to the social ridesharing problem. Artif. Intell. 246: 86-117 (2017) - [j21]Alessandro Farinelli, Luca Iocchi, Daniele Nardi:
Distributed on-line dynamic task assignment for multi-robot patrolling. Auton. Robots 41(6): 1321-1345 (2017) - [j20]Alessandro Farinelli, Manuele Bicego, Filippo Bistaffa, Sarvapali D. Ramchurn:
A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. Eng. Appl. Artif. Intell. 59: 170-185 (2017) - [j19]Matteo Denitto, Alessandro Farinelli, Mário A. T. Figueiredo, Manuele Bicego:
A biclustering approach based on factor graphs and the max-sum algorithm. Pattern Recognit. 62: 114-124 (2017) - [j18]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo:
Spike and slab biclustering. Pattern Recognit. 72: 186-195 (2017) - [j17]Alessandro Farinelli, Nicoló Boscolo, Elena Zanotto, Enrico Pagello:
Advanced approaches for multi-robot coordination in logistic scenarios. Robotics Auton. Syst. 90: 34-44 (2017) - [j16]Filippo Bistaffa, Nicola Bombieri, Alessandro Farinelli:
An Efficient Approach for Accelerating Bucket Elimination on GPUs. IEEE Trans. Cybern. 47(11): 3967-3979 (2017) - [j15]Filippo Bistaffa, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, Sarvapali D. Ramchurn:
Algorithms for Graph-Constrained Coalition Formation in the Real World. ACM Trans. Intell. Syst. Technol. 8(4): 60:1-60:24 (2017) - [c74]Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Domenico Bloisi, Jason J. Blum, Matteo Denitto, Alessandro Farinelli:
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. AIRO@AI*IA 2017: 16-21 - [c73]Alberto Castellini, Alessandro Farinelli, Giovanni Minuto, Davide Quaglia, Iseo Secco, Federico Tinivella:
EXPO-AGRI: Smart automatic greenhouse control. BioCAS 2017: 1-4 - [c72]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo:
Dominant Set Biclustering. EMMCVPR 2017: 49-61 - [c71]Stefano Aldegheri, Domenico Daniele Bloisi, Jason J. Blum, Nicola Bombieri, Alessandro Farinelli:
Fast and Power-Efficient Embedded Software Implementation of Digital Image Stabilization for Low-Cost Autonomous Boats. FSR 2017: 129-144 - [c70]Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov:
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV 2017: 4270-4279 - [c69]Riccardo Sartea, Alessandro Farinelli:
A Monte Carlo Tree Search approach to Active Malware Analysis. IJCAI 2017: 3831-3837 - [c68]Masoume M. Raeissi, Nathan Brooks, Alessandro Farinelli:
A Balking Queue Approach for Modeling Human-Multi-Robot Interaction for Water Monitoring. PRIMA 2017: 212-223 - [c67]Matteo Denitto, Alessandro Farinelli, Manuele Bicego:
Biclustering of time series data using factor graphs. SAC 2017: 28-30 - [c66]Lorenzo Bottarelli, Jason Blum, Manuele Bicego, Alessandro Farinelli:
Path efficient level set estimation for mobile sensors. SAC 2017: 262-267 - [e1]Alberto Finzi, Alessandro Farinelli, Fulvio Mastrogiovanni:
Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Robotics - A workshop of the XV International Conference of the Italian Association for Artificial Intelligence, AIRO@AI*IA 2016, Genova, Italy, November 28, 2016. CEUR Workshop Proceedings 1834, CEUR-WS.org 2017 [contents] - 2016
- [j14]Marco Tamassia, Alessandro Farinelli, Vittorio Murino, Alessio Del Bue:
Directional Visual Descriptors and Multirobot Strategies for Large-Scale Coverage Problems. J. Field Robotics 33(4): 489-511 (2016) - [c65]Riccardo Sartea, Mila Dalla Preda, Alessandro Farinelli, Roberto Giacobazzi, Isabella Mastroeni:
Active Android malware analysis: an approach based on stochastic games. SSPREW@ACSAC 2016: 5:1-5:10 - [c64]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Nicola Bombieri, Alessandro Farinelli, Luca Veggian:
Orienteering-based Path Selection for Mobile Sensors. AIRO@AI*IA 2016: 36-40 - [c63]Lorenzo Steccanella, Alessandro Farinelli, Luca Iocchi, Daniele Nardi:
Coloured Petri Net Plans for Cooperative Multi-robot Systems. AIRO@AI*IA 2016: 51-55 - [c62]Filippo Bistaffa, Nicola Bombieri, Alessandro Farinelli:
CUBE: A CUDA Approach for Bucket Elimination on GPUs. ECAI 2016: 125-132 - [c61]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Skeleton-Based Orienteering for Level Set Estimation. ECAI 2016: 1256-1264 - [c60]Andrea Bertolaso, Masoume M. Raeissi, Alessandro Farinelli, Riccardo Muradore:
Using Petri Net Plans for Modeling UAV-UGV Cooperative Landing. ECAI 2016: 1720-1721 - [c59]