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Journal Articles
- 2025
[j70]Davide La Torre, Hatem Masri, Constantin Zopounidis:
Special issue on "Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)". Int. Trans. Oper. Res. 32(1): 536-537 (2025)- [j69]Davide La Torre, Hatem Masri, Constantin Zopounidis:
Special issue on "Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)". Int. Trans. Oper. Res. 32(2): 1220-1221 (2025) - 2024
- [j68]Maddalena Zuccotto, Alberto Castellini, Davide La Torre, Lapo Mola, Alessandro Farinelli:
Reinforcement learning applications in environmental sustainability: a review. Artif. Intell. Rev. 57(4): 88 (2024) - [j67]Davide La Torre
, Franklin Mendivil, Matteo Rocca:
Modeling portfolio efficiency using stochastic optimization with incomplete information and partial uncertainty. Ann. Oper. Res. 334(1): 241-263 (2024) - [j66]Faizal M. F. Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain:
A multi-criteria approach to evolve sparse neural architectures for stock market forecasting. Ann. Oper. Res. 336(1-2): 1219-1263 (2024) - [j65]Jan Bart Broekaert, Davide La Torre, Faizal M. F. Hafiz:
Competing control scenarios in probabilistic SIR epidemics on social-contact networks. Ann. Oper. Res. 336(3): 2037-2060 (2024) - [j64]Davide La Torre, Simone Marsiglio, Fabio Privileggi:
Infectious diseases and social distancing under state-dependent probabilities. Ann. Oper. Res. 337(3): 993-1008 (2024) - [j63]Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca:
Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits. Ann. Oper. Res. 339(1-2): 455-475 (2024) - [j62]Jan Bart Broekaert, Davide La Torre, Faizal M. F. Hafiz, Marco Repetto:
A comparative cost assessment of coalescing epidemic control strategies in heterogeneous social-contact networks. Comput. Oper. Res. 167: 106680 (2024) - [j61]Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica:
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review. Discov. Artif. Intell. 4(1) (2024) - [j60]Maria Frasca, Davide La Torre:
An extended Daugman's algorithm for iris with eye pathology recognition. Expert Syst. Appl. 252: 124160 (2024) - [j59]Davide La Torre, Hatem Masri, Constantin Zopounidis:
Special issue on "Multiple criteria decision making for sustainable development goals (SDGs)". Int. Trans. Oper. Res. 31(4): 2799-2800 (2024) - [j58]Davide La Torre, Hatem Masri, Constantin Zopounidis:
Special issue on "Multiple criteria decision making for sustainable development goals (SDGs)". Int. Trans. Oper. Res. 31(5): 3553-3554 (2024) - [j57]Davide La Torre, Hatem Masri, Constantin Zopounidis:
Special issue on "Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)". Int. Trans. Oper. Res. 31(6): 4406-4407 (2024) - [j56]Maria Isabel Berenguer, Domingo Gámez, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Solving direct and inverse problems for Fredholm-type integro-differential equations with application to pollution diffusion modeling. Math. Comput. Simul. 223: 394-404 (2024) - [j55]Faizal M. F. Hafiz, Chirag Naik, Davide La Torre, Akshya Swain:
Quantification of Nonstationary Power Quality Events: A New Index Based on ℓp-Norm of Energy. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7457-7471 (2024) - 2023
- [j54]Fouad Ben Abdelaziz, Davide La Torre:
Robust generalized Merton-type financial portfolio models with generalized utility. Ann. Oper. Res. 330(1): 55-72 (2023) - [j53]Maria Isabel Berenguer, Domingo Gámez, Ana Isabel Garralda-Guillem, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Solving inverse problems for mixed-variational equations on perforated domains. Comput. Appl. Math. 42(6): 297 (2023) - [j52]Stefano Triberti, Davide La Torre, Giuseppe Riva:
The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial Intelligence. Cyberpsychology Behav. Soc. Netw. 26(4): 318-320 (2023) - [j51]Faizal M. F. Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain:
Co-evolution of neural architectures and features for stock market forecasting: A multi-objective decision perspective. Decis. Support Syst. 174: 114015 (2023) - [j50]Xavier Brusset, Aida Jebali, Davide La Torre:
Production optimisation in a pandemic context. Int. J. Prod. Res. 61(5): 1642-1663 (2023) - [j49]Xavier Brusset, Morteza Davari, Aseem Kinra, Davide La Torre:
Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions. Int. J. Prod. Res. 61(8): 2493-2512 (2023) - [j48]Davide La Torre, Sabri Boubaker, Blanca Pérez-Gladish, Constantin Zopounidis:
Preface to the Special Issue on Multidimensional Finance, Insurance, and Investment. Int. Trans. Oper. Res. 30(5): 2137-2138 (2023) - [j47]Boreland Bryson, Herb Kunze, Davide La Torre, Danilo Liuzzi:
A Generalized Multiple Criteria Data-Fitting Model With Sparsity and Entropy With Application to Growth Forecasting. IEEE Trans. Engineering Management 70(5): 1900-1911 (2023) - [j46]Davide La Torre, Cinzia Colapinto, Ilaria Durosini, Stefano Triberti:
Team Formation for Human-Artificial Intelligence Collaboration in the Workplace: A Goal Programming Model to Foster Organizational Change. IEEE Trans. Engineering Management 70(5): 1966-1976 (2023) - 2022
- [j45]Herb Kunze, Davide La Torre:
Solving inverse problems for steady-state equations using a multiple criteria model with collage distance, entropy, and sparsity. Ann. Oper. Res. 311(2): 1051-1065 (2022) - [j44]Herb Kunze, Davide La Torre, Simone Marsiglio:
Sustainability and spatial spillovers in a multicriteria macroeconomic model. Ann. Oper. Res. 311(2): 1067-1084 (2022) - [j43]Davide La Torre, Franklin Mendivil:
Stochastic efficiency and inefficiency in portfolio optimization with incomplete information: a set-valued probability approach. Ann. Oper. Res. 311(2): 1085-1098 (2022) - [j42]Davide La Torre, Danilo Liuzzi, Rosario Maggistro, Simone Marsiglio:
Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic-Epidemiological Model. Dyn. Games Appl. 12(1): 110-132 (2022) - 2021
- [j41]Imed Kacem, Davide La Torre, Hatem Masri:
Preface: Recent advances in multiple objective optimization and goal programming. Ann. Oper. Res. 296(1): 1-5 (2021) - [j40]Herb Kunze, Davide La Torre, Franklin Mendivil:
Editorial on special issue: Fractal-based analysis. Commun. Nonlinear Sci. Numer. Simul. 99: 105806 (2021) - [j39]Fouad Ben Abdelaziz, Davide La Torre, Houda Alaya:
Dynamic programming and optimal control for vector-valued functions: A state-of-the-art review. RAIRO Oper. Res. 55(Supplement): S351-S364 (2021) - [j38]Faisal Shah Khan, Davide La Torre:
Quantum information technology and innovation: a brief history, current state and future perspectives for business and management. Technol. Anal. Strateg. Manag. 33(11): 1281-1289 (2021) - 2020
- [j37]Cinzia Colapinto, Raja Jayaraman, Fouad Ben Abdelaziz, Davide La Torre:
Environmental sustainability and multifaceted development: multi-criteria decision models with applications. Ann. Oper. Res. 293(2): 405-432 (2020) - [j36]Fouad Ben Abdelaziz, Cinzia Colapinto, Davide La Torre, Danilo Liuzzi:
A stochastic dynamic multiobjective model for sustainable decision making. Ann. Oper. Res. 293(2): 539-556 (2020) - [j35]A. I. Garralda Guillem, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Using the generalized collage theorem for estimating unknown parameters in perturbed mixed variational equations. Commun. Nonlinear Sci. Numer. Simul. 91: 105433 (2020) - [j34]Davide La Torre, J. Marcoux, Franklin Mendivil, Edward R. Vrscay:
Denoising of diffusion magnetic resonance images using a modified and differentiable Monge-Kantorovich distance for measure-valued functions. Commun. Nonlinear Sci. Numer. Simul. 91: 105456 (2020) - [j33]Davide La Torre, Tufail Malik, Simone Marsiglio:
Optimal control of prevention and treatment in a basic macroeconomic-epidemiological model. Math. Soc. Sci. 108: 100-108 (2020) - 2019
- [j32]Oluwaseun Sharomi, Davide La Torre, Tufail Malik:
A multiple criteria economic growth model with environmental quality and logistic population behaviour with variable carrying capacity. INFOR Inf. Syst. Oper. Res. 57(3): 379-393 (2019) - [j31]Cinzia Colapinto, Davide La Torre, Belaïd Aouni:
Goal programming for financial portfolio management: a state-of-the-art review. Oper. Res. 19(3): 717-736 (2019) - 2018
- [j30]Davide La Torre, Franklin Mendivil:
Portfolio optimization under partial uncertainty and incomplete information: a probability multimeasure-based approach. Ann. Oper. Res. 267(1-2): 267-279 (2018) - [j29]Simone Marsiglio, Davide La Torre:
Economic growth and abatement activities in a stochastic environment: a multi-objective approach. Ann. Oper. Res. 267(1-2): 321-334 (2018) - [j28]Davide La Torre, Simone Marsiglio, Franklin Mendivil, Fabio Privileggi:
Fractal attractors and singular invariant measures in two-sector growth models with random factor shares. Commun. Nonlinear Sci. Numer. Simul. 58: 185-201 (2018) - [j27]Davide La Torre, Franklin Mendivil:
Stochastic linear optimization under partial uncertainty and incomplete information using the notion of probability multimeasure. J. Oper. Res. Soc. 69(10): 1549-1556 (2018) - 2017
- [j26]Davide La Torre:
Preface: Multiple criteria optimization and goal programming in science, engineering, and social sciences. Ann. Oper. Res. 251(1-2): 1-5 (2017) - [j25]Raja Jayaraman, Cinzia Colapinto, Danilo Liuzzi, Davide La Torre:
Planning sustainable development through a scenario-based stochastic goal programming model. Oper. Res. 17(3): 789-805 (2017) - [j24]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
On the theory of function-valued mappings and its application to the processing of hyperspectral images. Signal Process. 134: 185-196 (2017) - 2016
- [j23]Maria Isabel Berenguer, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Galerkin method for constrained variational equations and a collage-based approach to related inverse problems. J. Comput. Appl. Math. 292: 67-75 (2016) - 2015
- [j22]Sebastian Anita, Vincenzo Capasso, Herb Kunze, Davide La Torre:
Dynamics and optimal control in a spatially structured economic growth model with pollution diffusion and environmental taxation. Appl. Math. Lett. 42: 36-40 (2015) - [j21]K. M. Levere, Herb Kunze, Davide La Torre:
A collage-based approach to solving inverse problems for second-order nonlinear hyperbolic PDEs. Commun. Nonlinear Sci. Numer. Simul. 29(Issues): 283-299 (2015) - [j20]Maria Isabel Berenguer, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Galerkin schemes and inverse boundary value problems in reflexive Banach spaces. J. Comput. Appl. Math. 275: 100-112 (2015) - [j19]Davide La Torre, Danilo Liuzzi, Simone Marsiglio:
Pollution diffusion and abatement activities across space and over time. Math. Soc. Sci. 78: 48-63 (2015) - 2014
- [j18]Edward R. Vrscay, Daniel Otero, Davide La Torre:
A simple class of fractal transforms for hyperspectral images. Appl. Math. Comput. 231: 435-444 (2014) - [j17]Belaïd Aouni, Cinzia Colapinto, Davide La Torre:
Financial portfolio management through the goal programming model: Current state-of-the-art. Eur. J. Oper. Res. 234(2): 536-545 (2014) - [j16]William Seitz, Davide La Torre:
Modelling Investment Optimization on Smallholder Farms through Multiple Criteria Decision Making and Goal Programming: A Case Study from Ethiopia. INFOR Inf. Syst. Oper. Res. 52(3): 97-107 (2014) - [j15]Belaïd Aouni, Cinzia Colapinto, Davide La Torre:
A Fuzzy Goal Programming Model for Venture Capital Investment Decision Making. INFOR Inf. Syst. Oper. Res. 52(3): 138-146 (2014) - [j14]Martin Forster, Davide La Torre, Peter J. Lambert:
Optimal control of inequality under uncertainty. Math. Soc. Sci. 68: 53-59 (2014) - [j13]Davide La Torre, Edward R. Vrscay:
Fourier transforms of measure-valued images, self-similarity and the inverse problem. Signal Process. 101: 11-18 (2014) - 2013
- [j12]Davide La Torre, Franklin Mendivil:
A Chaos game algorithm for generalized iterated function systems. Appl. Math. Comput. 224: 238-249 (2013) - [j11]Belaïd Aouni, Cinzia Colapinto, Davide La Torre:
A cardinality constrained stochastic goal programming model with satisfaction functions for venture capital investment decision making. Ann. Oper. Res. 205(1): 77-88 (2013) - [j10]Sebastian Anita, Vincenzo Capasso, Herb Kunze, Davide La Torre:
Optimal control and long-run dynamics for a spatial economic growth model with physical capital accumulation and pollution diffusion. Appl. Math. Lett. 26(8): 908-912 (2013) - 2012
- [j9]Herb Kunze, Davide La Torre, Edward R. Vrscay:
Solving inverse problems for DEs using the Collage Theorem and entropy maximization. Appl. Math. Lett. 25(12): 2306-2311 (2012) - [j8]Herb Kunze, Davide La Torre, Franklin Mendivil, Edward R. Vrscay:
Generalized fractal transforms and self-similar objects in cone metric spaces. Comput. Math. Appl. 64(6): 1761-1769 (2012) - [j7]Marco Maggis, Davide La Torre:
A Goal Programming Model with Satisfaction Function for Risk Management and Optimal Portfolio Diversification. INFOR Inf. Syst. Oper. Res. 50(3): 117-126 (2012) - 2011
- [j6]Davide La Torre, Edward R. Vrscay:
Random measure-valued image functions, fractal transforms and self-similarity. Appl. Math. Lett. 24(8): 1405-1410 (2011) - 2010
- [j5]Belaïd Aouni, Davide La Torre:
A generalized stochastic goal programming model. Appl. Math. Comput. 215(12): 4347-4357 (2010) - [j4]Davide La Torre, Nicolae Popovici:
Arcwise cone-quasiconvex multicriteria optimization. Oper. Res. Lett. 38(2): 143-146 (2010) - 2009
- [j3]Davide La Torre, Edward R. Vrscay, Mehran Ebrahimi, Michael F. Barnsley:
Measure-Valued Images, Associated Fractal Transforms, and the Affine Self-Similarity of Images. SIAM J. Imaging Sci. 2(2): 470-507 (2009) - 2005
- [j2]Stefano Maria Iacus, Davide La Torre:
Approximating distribution functions by iterated function systems. Adv. Decis. Sci. 9(1): 33-46 (2005) - 2004
- [j1]Davide La Torre, Matteo Rocca:
Mean value theorem for continuous vector functions by smooth approximations. Appl. Math. Lett. 17(7): 791-794 (2004)
Conference and Workshop Papers
- 2022
- [c16]Marco Repetto, Davide La Torre:
Breast Cancer Detection and Prediction using Federated Multicriteria Machine Learning. ICSPIS 2022: 1-4 - [c15]Marco Repetto, Davide La Torre:
Federated Learning through Goal Programming: a Computational Study in Cancer Detection. ICSPIS 2022: 80-85 - 2021
- [c14]Xavier Brusset, Morteza Davari, Aseem Kinra, Davide La Torre:
Modelling COVID-19 Ripple Effect and Global Supply Chain Productivity Impacts Using a Reaction-Diffusion Time-Space SIS Model. APMS (4) 2021: 3-12 - [c13]Jan Bart Broekaert, Davide La Torre:
A Vector Logistic Dynamical Approach to Epidemic Evolution on Interacting Social-Contact and Production-Capacity Graphs. APMS (4) 2021: 13-22 - [c12]Cinzia Colapinto, Davide La Torre, Iside Rita Laganà, Danilo Liuzzi:
Modeling Shock Propagation on Supply Chain Networks: A Stochastic Logistic-Type Approach. APMS (4) 2021: 23-31 - 2019
- [c11]Dongchang Li, Davide La Torre, Edward R. Vrscay:
Existence, Uniqueness and Asymptotic Behaviour of Intensity-Based Measures Which Conform to a Generalized Weber's Model of Perception. ICIAR (1) 2019: 297-308 - 2018
- [c10]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Alternate Direction Method of Multipliers for Unconstrained Structural Similarity-Based Optimization. ICIAR 2018: 20-29 - [c9]Dongchang Li, Davide La Torre, Edward R. Vrscay:
The Use of Intensity-Based Measures to Produce Image Function Metrics Which Accommodate Weber's Models of Perception. ICIAR 2018: 326-335 - 2016
- [c8]Daniel Otero, Davide La Torre, Edward R. Vrscay:
Image Denoising Using Euler-Lagrange Equations for Function-Valued Mappings. ICIAR 2016: 110-119 - [c7]Davide La Torre, Franklin Mendivil, Oleg V. Michailovich, Edward R. Vrscay:
Total Variation Minimization for Measure-Valued Images with Diffusion Spectrum Imaging as Motivation. ICIAR 2016: 131-137 - 2015
- [c6]Daniel Otero, Davide La Torre, Edward R. Vrscay:
Structural Similarity-Based Optimization Problems with L^1 -Regularization: Smoothing Using Mollifiers. ICIAR 2015: 33-42 - [c5]Harish Bhaskar, Davide La Torre, Mohammed E. Al-Mualla:
Posed Facial Expression Detection Using Reflection Symmetry and Structural Similarity. ICIAR 2015: 218-228 - [c4]Raja Jayaraman, Danilo Liuzzi, Cinzia Colapinto, Davide La Torre:
A Goal Programming model with satisfaction function for long-run sustainability in the United Arab Emirates. IEEM 2015: 249-253 - 2014
- [c3]Ilona Anna Kowalik-Urbaniak, Davide La Torre, Edward R. Vrscay, Zhou Wang:
Some "Weberized" L^2 -Based Methods of Signal/Image Approximation. ICIAR (1) 2014: 20-29 - 2013
- [c2]Edward R. Vrscay, Daniel Otero, Davide La Torre:
Hyperspectral Images as Function-Valued Mappings, Their Self-similarity and a Class of Fractal Transforms. ICIAR 2013: 225-234 - 2012
- [c1]Oleg V. Michailovich, Davide La Torre, Edward R. Vrscay:
Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI. ICIAR (2) 2012: 286-295
Informal and Other Publications
- 2024
- [i10]Faizal M. F. Hafiz, Chirag Naik, Davide La Torre, Akshya Swain:
Quantification of Non-stationary Power Quality Events: A New Index Based on ℓp-norm of Energy. CoRR abs/2410.11442 (2024) - 2023
- [i9]Faizal M. F. Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain:
Coevolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective. CoRR abs/2311.14053 (2023) - [i8]Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica:
Combining Convolution Neural Networks with Long-Short Time Memory Layers to Predict Parkinson's Disease Progression. CoRR abs/2312.17290 (2023) - 2021
- [i7]Jan Bart Broekaert, Davide La Torre:
Control Scenarios for Probabilistic SIR Epidemics on Social-Connection Graphs. CoRR abs/2108.13714 (2021) - [i6]Faizal M. F. Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain:
A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting. CoRR abs/2111.08060 (2021) - [i5]Marco Repetto, Davide La Torre, Muhammad Tariq:
Deep Learning with Multiple Data Set: A Weighted Goal Programming Approach. CoRR abs/2111.13834 (2021) - [i4]Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca:
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets. CoRR abs/2112.01358 (2021) - 2020
- [i3]Daniel Otero, Davide La Torre, Oleg V. Michailovich, Edward R. Vrscay:
Optimization of Structural Similarity in Mathematical Imaging. CoRR abs/2002.02657 (2020) - 2019
- [i2]A. I. Garralda Guillem, Herb Kunze, Davide La Torre, Manuel Ruiz Galán:
Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations. CoRR abs/1909.13214 (2019) - [i1]Herb Kunze, Davide La Torre:
Solving Inverse Problems for Steady-State Equations using A Multiple Criteria Model with Collage Distance, Entropy, and Sparsity. CoRR abs/1911.02799 (2019)
Coauthor Index
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