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2020 – today
- 2024
[j40]Xiao Jiang, Guangyu Wang, Limei Zhang, Xiaoming Xi, Renato De Leone, Lishan Qiao:
Label-guided low-rank Approximation for functional brain network learning in identifying subcortical vascular cognitive impairment. Biomed. Signal Process. Control. 98: 106766 (2024)- [j39]Maria Laura Santoni
, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. ACM Trans. Evol. Learn. Optim. 4(3): 17:1-17:33 (2024) - [c21]Shuanghong Qu, Renato De Leone, Min Huang:
Sparse Learning for Linear Twin Parameter-margin Support Vector Machine. CACML 2024: 50-55 - [c20]Rudy Milani, Maximilian Moll, Renato De Leone:
Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning. HICSS 2024: 1401-1408 - 2023
- [j38]Rong Zhao, Jun-e Feng, Biao Wang, Renato De Leone:
Disturbance decoupling of Boolean networks via robust indistinguishability method. Appl. Math. Comput. 457: 128220 (2023) - [j37]Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao:
Stabilisation and set stabilisation of periodic switched Boolean control networks. Int. J. Control 96(3): 699-710 (2023) - [j36]Leonardo Mostarda, Alfredo Navarra, Renato De Leone:
Optimal vs rotation heuristics in the role of cluster-head for routing in IoT constrained devices. Internet Things 22: 100757 (2023) - [j35]Rudy Milani, Maximilian Moll, Renato De Leone, Stefan Pickl:
A Bayesian Network Approach to Explainable Reinforcement Learning with Distal Information. Sensors 23(4): 2013 (2023) - [c19]Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. GECCO Companion 2023: 2390-2393 - [c18]Renato De Leone, Francesca Maggioni, Andrea Spinelli:
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions. LOD (2) 2023: 299-310 - [i4]Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr:
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. CoRR abs/2303.00890 (2023) - [i3]Renato De Leone, Francesca Maggioni, Andrea Spinelli:
Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification. CoRR abs/2306.06213 (2023) - 2022
- [j34]Xiao Jiang, Lishan Qiao, Renato De Leone, Dinggang Shen:
Joint selection of brain network nodes and edges for MCI identification. Comput. Methods Programs Biomed. 225: 107082 (2022) - [c17]Jia Chen, Chunjie Wang, Renato De Leone:
A Model Based on Survival-based Credit Risk Assessment System of SMEs. ICCMS 2022: 245-251 - 2021
- [j33]Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia:
Input-output decoupling for mix-valued logical control networks via the semi-tensor product method. Int. J. Control 94(9): 2419-2427 (2021) - [j32]Jianjun Wang, Renato De Leone, Shihua Fu, Jianwei Xia, Lishan Qiao:
Event-triggered control design for networked evolutionary games with time invariant delay in strategies. Int. J. Syst. Sci. 52(3): 493-504 (2021) - [c16]Ping Wang, Renato De Leone, Hongyan Sang:
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem with Lot-Streaming of Random Breakdown. LOD 2021: 241-245 - 2020
- [j31]Alessio Mancini, Leonardo Vito, Elisa Marcelli, Marco Piangerelli, Renato De Leone, Sandra Pucciarelli, Emanuela Merelli:
Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS". BMC Bioinform. 21-S(10): 347 (2020) - [j30]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. J. Optim. Theory Appl. 186(2): 554-589 (2020) - [j29]Vito Walter Anelli, Renato De Leone, Tommaso Di Noia, Thomas Lukasiewicz, Jessica Rosati:
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. Semantic Web 11(3): 391-419 (2020) - [j28]Renato De Leone, Yaroslav D. Sergeyev, Gerardo Toraldo:
To the special issue dedicated to the 3rd international conference "Numerical Computations: Theory and Algorithms - NUMTA 2019" June 15-21, 2019, Isola Capo Rizzuto, Italy. Soft Comput. 24(23): 17495-17496 (2020) - [j27]Renato De Leone, Nadaniela Egidi, Lorella Fatone:
The use of grossone in elastic net regularization and sparse support vector machines. Soft Comput. 24(23): 17669-17677 (2020) - [c15]Renato De Leone, Leonardo Mostarda:
Optimal Cluster Head Rotation for Heterogeneous WSNs. AINA Workshops 2020: 947-955 - [c14]Elisa Marcelli, Renato De Leone:
Multi-kernel Covariance Terms in Multi-output Support Vector Machines. LOD (2) 2020: 1-11
2010 – 2019
- 2019
- [j26]Petar Ristoski, Jessica Rosati, Tommaso Di Noia, Renato De Leone, Heiko Paulheim:
RDF2Vec: RDF graph embeddings and their applications. Semantic Web 10(4): 721-752 (2019) - [i2]Marco Piangerelli, Giacomo Rocchetti, Alessandro Liscio, Renato De Leone:
BinarySDG: binary sensor data generation with R. CoRR abs/1909.10308 (2019) - 2018
- [j25]Renato De Leone:
Nonlinear programming and Grossone: Quadratic Programing and the role of Constraint Qualifications. Appl. Math. Comput. 318: 290-297 (2018) - [j24]Renato De Leone, Giovanni Fasano, Yaroslav D. Sergeyev:
Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming. Comput. Optim. Appl. 71(1): 73-93 (2018) - [j23]Renato De Leone, Yaroslav D. Sergeyev, Anatoly Zhigljavsky:
Guest editors' preface to the special issue devoted to the 2nd International Conference "Numerical Computations: Theory and Algorithms", June 19-25, 2016, Pizzo Calabro, Italy. J. Glob. Optim. 71(1): 1-4 (2018) - [c13]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. LION 2018: 180-183 - 2017
- [j22]Renato De Leone, A. Giovannelli, M. Pietrini:
Optimization of power production and costs in microgrids. Optim. Lett. 11(3): 497-520 (2017) - 2016
- [c12]Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato De Leone, Heiko Paulheim:
RDF Graph Embeddings for Content-based Recommender Systems. CBRecSys@RecSys 2016: 23-30 - 2015
- [j21]Renato De Leone, Dmitri E. Kvasov, Yaroslav D. Sergeyev:
Guest editors' foreword to the special issue devoted to the international conference "Numerical computations: Theory and Algorithms" June 17-23, 2013, Falerna, Italy. Appl. Math. Comput. 255: 1-2 (2015) - [j20]Ulrich Faigle, Erik Kropat, Renato De Leone, Silja Meyer-Nieberg, Stefan Pickl:
Preface. Discret. Appl. Math. 192: 1 (2015) - [j19]Renato De Leone, M. Pietrini, A. Giovannelli:
Photovoltaic energy production forecast using support vector regression. Neural Comput. Appl. 26(8): 1955-1962 (2015) - [c11]Jessica Rosati, Tommaso Di Noia, Thomas Lukasiewicz, Renato De Leone, Andrea Maurino:
Preference Queries with Ceteris Paribus Semantics for Linked Data. OTM Conferences 2015: 423-442 - [i1]Renato De Leone, Valentina Minnetti:
Electre Tri-Machine Learning Approach to the Record Linkage Problem. CoRR abs/1505.06614 (2015) - 2013
- [c10]Marco Pellegrini, Renato De Leone, Pierluigi Maponi, Maurizio Ferretti:
Reducing Power Consumption in Hydrometric Level Sensor Networks using Support Vector Machines. PECCS 2013: 229-232 - [c9]Sonia De Cosmis, Renato De Leone, Erik Kropat, Silja Meyer-Nieberg, Stefan Pickl:
Electric load forecasting using support vector machines for robust regression. SpringSim (EAIA) 2013: 9 - 2012
- [j18]Renato De Leone, Yaroslav D. Sergeyev, Anatoly A. Zhigljavsky:
Foreword: Special issue INFINITY 2010. Appl. Math. Comput. 218(16): 7977-7978 (2012) - [j17]Sonia De Cosmis, Renato De Leone:
The use of grossone in Mathematical Programming and Operations Research. Appl. Math. Comput. 218(16): 8029-8038 (2012) - [c8]Sonia De Cosmis, Renato De Leone:
Support Vector Machines for Robust Regression. CTW 2012: 96-99 - [c7]Sonia De Cosmis, Renato De Leone, Erik Kropat, Silja Meyer-Nieberg, Stefan Pickl, Jessica Rosati:
Electric Load Forecasting: An Experimental Comparison. CTW 2012: 100-103 - [c6]Marco Pellegrini, Renato De Leone, Pierluigi Maponi:
Adaptive Sampling for Embedded Software Systems Using SVM: Application to Water Level Sensors. CTW 2012: 210-214 - 2011
- [j16]Renato De Leone, Paola Festa, Emilia Marchitto:
A Bus Driver Scheduling Problem: a new mathematical model and a GRASP approximate solution. J. Heuristics 17(4): 441-466 (2011) - [j15]Renato De Leone, Paola Festa, Emilia Marchitto:
Solving a bus driver scheduling problem with randomized multistart heuristics. Int. Trans. Oper. Res. 18(6): 707-727 (2011) - 2010
- [j14]Renato De Leone, C. Lazzari:
Error bounds for support vector machines with application to the identification of active constraints. Optim. Methods Softw. 25(2): 185-202 (2010) - [c5]Renato De Leone:
Support Vector Regression for Time Series Analysis. OR 2010: 33-38
2000 – 2009
- 2009
- [r1]Renato De Leone:
Data Envelopment Analysis. Encyclopedia of Optimization 2009: 597-600 - 2007
- [j13]Rosario Capparuccia, Renato De Leone, Emilia Marchitto:
Integrating support vector machines and neural networks. Neural Networks 20(5): 590-597 (2007) - [c4]Gionatan D'Annibale, Renato De Leone, Paola Festa, Emilia Marchitto:
A new meta-heuristic for the Bus Driver Scheduling Problem: GRASP combined with Rollout. CISched 2007: 192-197 - 2005
- [j12]Renato De Leone:
Parallel algorithm for support vector machines training and quadratic optimization problems. Optim. Methods Softw. 20(2-3): 379-388 (2005) - 2000
- [j11]Renato De Leone, Daniele Pretolani:
Auction Algorithms for Shortest Hyperpath Problems. SIAM J. Optim. 11(1): 149-159 (2000)
1990 – 1999
- 1999
- [j10]Renato De Leone, Robert R. Meyer, Armand Zakarian:
A Partitioned ∈-Relaxation Algorithm for Separable Convex Network Flow Problems. Comput. Optim. Appl. 12(1-3): 107-126 (1999) - 1998
- [j9]Renato De Leone, Rosario Capparuccia, Emanuela Merelli:
A successive overrelaxation backpropagation algorithm for neural-network training. IEEE Trans. Neural Networks 9(3): 381-388 (1998) - 1995
- [j8]Sherif Sherif, Bahaa E. A. Saleh, Renato De Leone:
Binary image synthesis using mixed linear integer programming. IEEE Trans. Image Process. 4(9): 1252-1257 (1995) - 1994
- [j7]Renato De Leone, Robert R. Meyer, Spyridon Kontogiorgis, Armand Zakarian, Golbon Zakeri:
Coordination in Coarse-Grained Decomposition. SIAM J. Optim. 4(4): 777-793 (1994) - [j6]Minjoong Rim, Ashutosh Mujumdar, Rajiv Jain, Renato De Leone:
Optimal and heuristic algorithms for solving the binding problem. IEEE Trans. Very Large Scale Integr. Syst. 2(2): 211-225 (1994) - [c3]Ashutosh Mujumdar, Minjoong Rim, Rajiv Jain, Renato De Leone:
BINET: An Algorithm for Solving the Binding Problem. VLSI Design 1994: 163-168 - 1993
- [j5]Renato De Leone, Manlio Gaudioso, Maria Flavia Monaco:
Nonsmooth optimization methods for parallel decomposition of multicommodity flow problems. Ann. Oper. Res. 44(3): 299-311 (1993) - [j4]Renato De Leone, M. A. Tork Roth:
Massively parallel solution of quadratic programs via successive overrelaxation. Concurr. Pract. Exp. 5(8): 623-634 (1993) - [c2]B. Narendran, Renato De Leone, Prasoon Tiwari:
An Implementation of the epsilon-Relaxation Algorithm on the CM-5. SPAA 1993: 183-192 - 1992
- [c1]Minjoong Rim, Rajiv Jain, Renato De Leone:
Optimal Allocation and Binding in High-Level Synthesis. DAC 1992: 120-123 - 1991
- [j3]Renato De Leone, Terence T.-H. Ow:
Parallel Implementation of Lemke's Algorithm on the Hypercube. INFORMS J. Comput. 3(1): 56-62 (1991)
1980 – 1989
- 1988
- [j2]Renato De Leone, Olvi L. Mangasarian:
Asynchronous parallel successive overrelaxation for the symmetric linear complementarity problem. Math. Program. 42(1-3): 347-361 (1988) - 1984
- [j1]Renato De Leone, Manlio Gaudioso, Luigi Grippo:
Stopping criteria for linesearch methods without derivatives. Math. Program. 30(3): 285-300 (1984)
Coauthor Index
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last updated on 2024-08-29 20:55 CEST by the dblp team
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