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Roberto Battiti

Roberto Battiti

D-Index & Metrics

Computer Science

D-Index
40
Citations
14062
World Ranking
9042
National Ranking
254

Overview

Roberto Battiti is affiliated with the University of Trento in Italy and has contributed to research primarily in computer science, business management, and decision sciences. Their work covers various subfields, including management science and operations research, computational theory and mathematics, marketing, computer networks and communications, and artificial intelligence.

The scientist's research addresses a diverse range of topics, notably auction theory and applications, consumer market behavior and pricing, rough sets and fuzzy logic, the wine industry and tourism, transportation planning and optimization, smart parking systems research, and supply chain and inventory management.

Roberto Battiti has published several papers in notable venues. Selected papers include:

  • "RoomTetris in room committing: why the role of minimum-length-of-stay requirements should be revisited" (2021), published in the International Journal of Contemporary Hospitality Management
  • "RoomTetris: an optimal procedure for committing rooms to reservations in hotels" (2020), published in the Journal of Hospitality and Tourism Technology
  • "Pragmatic Estimation of the Elasticity of Demand in Hospitality From Noisy Reservations" (2023), published in Transactions on Machine Learning and Artificial Intelligence

Other notable papers co-authored include "Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation" (2022) in the Leibniz-Zentrum für Informatik (Schloss Dagstuhl) and "Learning Modulo Theories for constructive preference elicitation" (2021) in Artificial Intelligence.

Frequent coauthors of Roberto Battiti include Filippo Battiti, Mauro Brunato, Paolo Campigotto, Andrea Passerini, and Stefano Teso. Their collaborations span both foundational and applied research areas.

Roberto Battiti's research outputs have appeared in publication venues such as arXiv (Cornell University), International Journal of Contemporary Hospitality Management, Journal of Hospitality and Tourism Technology, Artificial Intelligence, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Best Publications

  • Using mutual information for selecting features in supervised neural net learning

    R. Battiti

  • First- and second-order methods for learning: between steepest descent and Newton's method

    Roberto Battiti

  • The Reactive Tabu Search

    Roberto Battiti;Giampietro Tecchiolli

  • Statistical learning theory for location fingerprinting in wireless LANs

    Mauro Brunato;Roberto Battiti

  • Democracy in neural nets: voting schemes for classification

    Roberto Battiti;Anna Maria Colla

  • Reactive Search and Intelligent Optimization

    Roberto Battiti;Mauro Brunato;Franco Mascia

  • Location-aware computing: a neural network model for determining location in wireless LANs

    Roberto Battiti;Nhat Thang Le;Alessandro Villani

  • Accelerated Backpropagation Learning: Two Optimization Methods.

    Roberto Battiti

  • MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony

    Liangjun Ke;Qingfu Zhang;Roberto Battiti

  • Reactive Local Search for the Maximum Clique Problem1

    Unknown

  • BFGS Optimization for Faster and Automated Supervised Learning

    Roberto Battiti;Francesco Masulli

  • Greedy, prohibition, and reactive heuristics for graph partitioning

    R. Battiti;A.A. Bertossi

  • Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy

    Roberto Battiti;Edoardo Amaldi;Christof Koch

  • Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker

    Roberto Battiti;Andrea Passerini

  • Training neural nets with the reactive tabu search

    R. Battiti;G. Tecchiolli

  • PILGRIM: A location broker and mobility-aware recommendation system

    M. Brunato;R. Battiti

  • The continuous reactive tabu search: Blending combinatorial optimization and stochastic search for global optimization

    Roberto Battiti;Giampietro Tecchiolli

  • Hybridization of decomposition and local search for multiobjective optimization.

    Liangjun Ke;Qingfu Zhang;Roberto Battiti

  • Identifying intrusions in computer networks with principal component analysis

    W. Wang;R. Battiti

  • Reactive search, a history-sensitive heuristic for MAX-SAT

    Roberto Battiti;Marco Protasi

  • The gregarious particle swarm optimizer (G-PSO)

    Srinivas Pasupuleti;Roberto Battiti

Frequent Co-Authors

Renato Lo Cigno
Renato Lo Cigno University of Brescia
Vittorio Maniezzo
Vittorio Maniezzo University of Bologna
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Christian Blum
Christian Blum Spanish National Research Council
Bruno Crispo
Bruno Crispo University of Trento
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Mario Gerla
Mario Gerla University of California, Los Angeles
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin
Marco Ajmone Marsan
Marco Ajmone Marsan Polytechnic University of Turin

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