default search action
Annals of Operations Research, Volume 325
Volume 325, Number 1, June 2023
- Pierpaolo D'Urso, Livia De Giovanni, Tim B. Swartz:
Editorial: Big data and data science in sport. 1-7 - Pierpaolo D'Urso, Livia De Giovanni
, Vincenzina Vitale:
A robust method for clustering football players with mixed attributes. 9-36 - Maurizio Carpita
Clustering of variables methods and measurement models for soccer players' performances. 37-56 - Gian Paolo Clemente
Community detection in attributed networks for global transfer market. 57-83 - Valerio Ficcadenti
A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league "Serie A". 85-113 - Raffaele Mattera
Forecasting binary outcomes in soccer. 115-134 - Ruud H. Koning
Betting market efficiency and prediction in binary choice models. 135-148 - Llorenç Badiella
Influence of Red and Yellow cards on team performance in elite soccer. 149-165 - Marius Ötting
Football tracking data: a copula-based hidden Markov model for classification of tactics in football. 167-183 - Adjei Peter Darko
Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments. 185-218 - Antonello D'Ambra
An extension of correspondence analysis based on the multiple Taguchi's index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship. 219-244 - Sumit Sarkar
Does luck play a role in the determination of the rank positions in football leagues? A study of Europe's 'big five'. 245-260 - Praveen Puram
Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach. 261-288 - Apurva Jha
Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm. 289-317 - Praveen Ranjan Srivastava
Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework. 319-361 - Alessandro Chessa, Pierpaolo D'Urso, Livia De Giovanni
Complex networks for community detection of basketball players. 363-389 - Luca De Angelis
Home advantage and mispricing in indoor sports' ghost games: the case of European basketball. 391-418 - Pierpaolo D'Urso, Livia De Giovanni, Vincenzina Vitale
A Bayesian network to analyse basketball players' performances: a multivariate copula-based approach. 419-440 - Rodolfo Metulini
Measuring players' importance in basketball using the generalized Shapley value. 441-465 - Jiangang Wang
Will more skills become a burden? The effect of positional ambiguity on player and team performance. 467-493 - Paola Zuccolotto, Marco Sandri
Spatial performance analysis in basketball with CART, random forest and extremely randomized trees. 495-519 - Tullio Facchinetti
Filtering active moments in basketball games using data from players tracking systems. 521-538 - David Van Bulck
Result-based talent identification in road cycling: discovering the next Eddy Merckx. 539-556 - Bram Janssens
Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents. 557-588 - Fabian Clemens Weigend
A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise. 589-613 - Alberto Arcagni, Vincenzo Candila
A new model for predicting the winner in tennis based on the eigenvector centrality. 615-632 - Peter Tea, Tim B. Swartz
The analysis of serve decisions in tennis using Bayesian hierarchical models. 633-648 - Daniel Goller
Analysing a built-in advantage in asymmetric darts contests using causal machine learning. 649-679 - Michael Schuckers
Estimation of player aging curves using regression and imputation. 681-699 - Maria Iannario
Dyadic analysis for multi-block data in sport surveys analytics. 701-714 - Yazan F. Roumani
Sports analytics in the NFL: classifying the winner of the superbowl. 715-730 - Benjamin Williams
Simulation-based decision making in the NFL using NFLSimulatoR. 731-742 - Haoyu Liu
Who's watching? Classifying sports viewers on social live streaming services. 743-765
Volume 325, Number 2, June 2023
- Salvatore Corrente, Yves De Smet, Michalis Doumpos, Salvatore Greco, Constantin Zopounidis:
Classification, sorting and clustering methods based on multiple criteria: recent trends. 767-770 - Sarah Ben Amor, Fateh Belaid
Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda. 771-793 - Pegdwende Minoungou, Vincent Mousseau
A MIP-based approach to learn MR-Sort models with single-peaked preferences. 795-817 - Eduardo Fernández, José Rui Figueira
A theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes. 819-843 - Oussama Raboun, Eric Chojnacki, Alexis Tsoukiàs
Dynamic-R: a "challenge-free" method for rating problem statements. 845-873 - Jindong Qin
ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness. 875-909 - Zhen Zhang
Consensus-based TOPSIS-Sort-B for multi-criteria sorting in the context of group decision-making. 911-938 - Saeideh Babashahi
External validity of multi-criteria preference data obtained from non-random sampling: measuring cohesiveness within and between groups. 939-949 - Bice Cavallo
Evaluating scales for pairwise comparisons. 951-965 - Francesco Ciardiello
A comparison between TOPSIS and SAW methods. 967-994 - Che Xu, Wenjun Chang
Data-driven decision model based on local two-stage weighted ensemble learning. 995-1028 - Paritosh Jha
Enhancing the predictive performance of ensemble models through novel multi-objective strategies: evidence from credit risk and business model innovation survey data. 1029-1047 - Maria Franca Norese
DIKEDOC: a multicriteria methodology to organise and communicate knowledge. 1049-1082 - Bruno M. B. Pinto, Fernando A. F. Ferreira
Analyzing causes of urban blight using cognitive mapping and DEMATEL. 1083-1110 - Hongtao Ren
A multi-criteria decision support model for adopting energy efficiency technologies in the iron and steel industry. 1111-1132 - Esther Jose
A multi-criteria decision making approach to evaluating the performance of Indian railway zones. 1133-1168 - Ali Tlili, Oumaima Khaled, Vincent Mousseau
Interactive portfolio selection involving multicriteria sorting models. 1169-1195 - Pranith Kumar Roy
Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C. 1197-1229 - Chrysovalantis Gaganis, Panagiota Papadimitri
Social traits and credit card default: a two-stage prediction framework. 1231-1253 - Yoontae Hwang
Identifying household finance heterogeneity via deep clustering. 1255-1289 - Philippe du Jardin
Designing topological data to forecast bankruptcy using convolutional neural networks. 1291-1332
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-07-18 00:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: