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2020 – today
- 2024
[j38]Caroline T. M. Rocha, Bruno Jefferson de S. Pessoa, Daniel Aloise
, Lucídio A. F. Cabral:
An efficient implementation of a VNS heuristic for the weighted fair sequences problem. Int. Trans. Oper. Res. 31(3): 1720-1735 (2024)- 2023
- [j37]Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise:
A Practical Survey on Faster and Lighter Transformers. ACM Comput. Surv. 55(14s): 304:1-304:40 (2023) - [c14]Vithor Gomes Ferreira Bertalan, Daniel Aloise:
Using Transformer Models and Textual Analysis for Log Parsing. ISSRE 2023: 367-378 - [c13]Rodrigo Randel, Daniel Aloise, Alain Hertz:
A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation. SDM 2023: 127-135 - [i8]Quentin Fournier, Daniel Aloise, Leandro Rincon Costa:
Language Models for Novelty Detection in System Call Traces. CoRR abs/2309.02206 (2023) - 2022
- [j36]Diego Rocha Lima, Daniel Aloise, Dario J. Aloise, Claudio Contardo:
Visual attractiveness in vehicle routing via bi-objective optimization. Comput. Oper. Res. 137: 105507 (2022) - [j35]Irving Muller Rodrigues, Aleksandr Khvorov, Daniel Aloise, Roman Vasiliev, Dmitrij V. Koznov, Eraldo Rezende Fernandes, George A. Chernishev, Dmitry V. Luciv, Nikita Povarov:
TraceSim: An Alignment Method for Computing Stack Trace Similarity. Empir. Softw. Eng. 27(2): 53 (2022) - [j34]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. J. Heuristics 28(4): 539-582 (2022) - [j33]Iman Kohyarnejadfard, Daniel Aloise, Seyed Vahid Azhari, Michel R. Dagenais:
Anomaly detection in microservice environments using distributed tracing data analysis and NLP. J. Cloud Comput. 11: 25 (2022) - [j32]Isabelle Bouchard, Marie-Ève Rancourt, Daniel Aloise, Freddie Kalaitzis:
On Transfer Learning for Building Damage Assessment from Satellite Imagery in Emergency Contexts. Remote. Sens. 14(11): 2532 (2022) - [c12]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations. DCOSS 2022: 269-276 - [c11]Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes:
FaST: A linear time stack trace alignment heuristic for crash report deduplication. MSR 2022: 549-560 - 2021
- [j31]Rodrigo Randel, Daniel Aloise, Simon J. Blanchard, Alain Hertz:
A Lagrangian-based score for assessing the quality of pairwise constraints in semi-supervised clustering. Data Min. Knowl. Discov. 35(6): 2341-2368 (2021) - [j30]Iman Kohyarnejadfard, Daniel Aloise, Michel R. Dagenais, Mahsa Shakeri:
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis. Entropy 23(8): 1011 (2021) - [j29]Allyson Silva, Daniel Aloise, Leandro C. Coelho, Caroline T. M. Rocha:
Heuristics for the dynamic facility location problem with modular capacities. Eur. J. Oper. Res. 290(2): 435-452 (2021) - [j28]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
The Covering-Assignment Problem for Swarm-Powered Ad Hoc Clouds: A Distributed 3-D Mapping Usecase. IEEE Internet Things J. 8(9): 7316-7332 (2021) - [j27]Daniel Aloise, Gilles Caporossi, Sébastien Le Digabel:
Preface to the special issue of JOGO on the occasion of the 40th anniversary of the Group for Research in Decision Analysis (GERAD). J. Glob. Optim. 81(1): 1-2 (2021) - [c10]Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault:
On Improving Deep Learning Trace Analysis with System Call Arguments. MSR 2021: 120-130 - [i7]Quentin Fournier, Daniel Aloise:
Empirical comparison between autoencoders and traditional dimensionality reduction methods. CoRR abs/2103.04874 (2021) - [i6]Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. CoRR abs/2103.04954 (2021) - [i5]Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault:
On Improving Deep Learning Trace Analysis with System Call Arguments. CoRR abs/2103.06915 (2021) - [i4]Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise:
A Practical Survey on Faster and Lighter Transformers. CoRR abs/2103.14636 (2021) - [i3]Rodrigo Randel, Daniel Aloise, Alain Hertz:
Exploring dual information in distance metric learning for clustering. CoRR abs/2105.12703 (2021) - [i2]Laurent Boucaud, Daniel Aloise, Nicolas Saunier:
Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction? CoRR abs/2106.15321 (2021) - 2020
- [j26]Daniel Nobre Pinheiro, Daniel Aloise, Simon J. Blanchard:
Convex fuzzy k-medoids clustering. Fuzzy Sets Syst. 389: 66-92 (2020) - [j25]Robin Gassais, Naser Ezzati-Jivan, Jose M. Fernandez, Daniel Aloise, Michel R. Dagenais:
Multi-level host-based intrusion detection system for Internet of things. J. Cloud Comput. 9: 62 (2020) - [c9]Mohammed Najib Haouas, Daniel Aloise, Gilles Pesant:
An Exact CP Approach for the Cardinality-Constrained Euclidean Minimum Sum-of-Squares Clustering Problem. CPAIOR 2020: 256-272 - [c8]Daniel Nobre Pinheiro, Samuel Xavier de Souza, Daniel Aloise:
Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets. IPDPS Workshops 2020: 426-429 - [c7]Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes, Michel R. Dagenais:
A Soft Alignment Model for Bug Deduplication. MSR 2020: 43-53 - [c6]Théo Moins, Daniel Aloise, Simon J. Blanchard:
RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. RecSys 2020: 309-317
2010 – 2019
- 2019
- [j24]Dusan Dzamic, Daniel Aloise, Nenad Mladenovic:
Ascent-descent variable neighborhood decomposition search for community detection by modularity maximization. Ann. Oper. Res. 272(1-2): 273-287 (2019) - [c5]Quentin Fournier, Daniel Aloise:
Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods. AIKE 2019: 211-214 - [c4]Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais:
Automatic Cause Detection of Performance Problems in Web Applications. ISSRE Workshops 2019: 398-405 - 2018
- [j23]Bruno Jefferson de S. Pessoa, Daniel Aloise, Lucídio dos Anjos F. Cabral:
The Weighted Fair Sequences Problem. Comput. Oper. Res. 91: 121-131 (2018) - [j22]Thiago Gouveia da Silva, Gilberto Farias de Sousa Filho, Igor A. M. Barbosa, Nenad Mladenovic, Lucídio dos Anjos F. Cabral, Luiz Satoru Ochi, Daniel Aloise:
Efficient heuristics for the minimum labeling global cut problem. Electron. Notes Discret. Math. 66: 23-30 (2018) - [j21]Fernanda B. A. R. Mariz, Mariana Rodrigues de Almeida, Daniel Aloise:
A review of Dynamic Data Envelopment Analysis: state of the art and applications. Int. Trans. Oper. Res. 25(2): 469-505 (2018) - [j20]Daniel Aloise, Claudio Contardo:
A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. J. Glob. Optim. 71(3): 613-630 (2018) - [j19]Kayo Gonçalves-e-Silva, Daniel Aloise, Samuel Xavier de Souza:
Parallel synchronous and asynchronous coupled simulated annealing. J. Supercomput. 74(6): 2841-2869 (2018) - [c3]Rodrigo Randel, Daniel Aloise, Nenad Mladenovic, Pierre Hansen:
On the k-Medoids Model for Semi-supervised Clustering. ICVNS 2018: 13-27 - [c2]Pierre Hulot, Daniel Aloise, Sanjay Dominik Jena:
Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. KDD 2018: 378-386 - [i1]Demetrios Coutinho, Samuel Xavier de Souza, Daniel Aloise:
A Scalable Shared-Memory Parallel Simplex for Large-Scale Linear Programming. CoRR abs/1804.04737 (2018) - 2017
- [j18]Daniel Aloise, Nielsen Castelo Damasceno, Nenad Mladenovic, Daniel Nobre Pinheiro:
On Strategies to Fix Degenerate k-means Solutions. J. Classif. 34(2): 165-190 (2017) - [j17]Leandro Rincon Costa, Daniel Aloise, Nenad Mladenovic:
Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering. Inf. Sci. 415: 247-253 (2017) - [j16]Artem V. Pyatkin, Daniel Aloise, Nenad Mladenovic:
NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognit. Lett. 97: 44-45 (2017) - 2016
- [j15]Éverton Santi, Daniel Aloise, Simon J. Blanchard:
A model for clustering data from heterogeneous dissimilarities. Eur. J. Oper. Res. 253(3): 659-672 (2016) - 2015
- [j14]Daniel Aloise, Arthur Araujo:
A derivative-free algorithm for refining numerical microaggregation solutions. Int. Trans. Oper. Res. 22(4): 693-712 (2015) - 2014
- [j13]Diogo R. M. Fernandes, Caroline T. M. Rocha, Daniel J. Aloise, Glaydston Mattos Ribeiro, Enilson M. Santos, Allyson Silva:
A simple and effective genetic algorithm for the two-stage capacitated facility location problem. Comput. Ind. Eng. 75: 200-208 (2014) - [j12]João Paulo Queiroz dos Santos, Jorge Dantas de Melo, Adrião Duarte Dória Neto, Daniel Aloise:
Reactive Search strategies using Reinforcement Learning, local search algorithms and Variable Neighborhood Search. Expert Syst. Appl. 41(10): 4939-4949 (2014) - [j11]Daniel Aloise, Pierre Hansen, Caroline T. M. Rocha:
Global optimization workshop 2012. J. Glob. Optim. 60(2): 121-122 (2014) - [j10]Daniel Aloise, Pierre Hansen, Caroline T. M. Rocha, Éverton Santi:
Column generation bounds for numerical microaggregation. J. Glob. Optim. 60(2): 165-182 (2014) - [j9]Isaac F. Fernandes, Daniel Aloise, Dario J. Aloise, Pierre Hansen, Leo Liberti:
On the Weber facility location problem with limited distances and side constraints. Optim. Lett. 8(2): 407-424 (2014) - 2012
- [j8]Daniel Aloise, Pierre Hansen, Leo Liberti:
An improved column generation algorithm for minimum sum-of-squares clustering. Math. Program. 131(1-2): 195-220 (2012) - [j7]Pierre Hansen, Manuel Ruiz, Daniel Aloise:
A VNS heuristic for escaping local extrema entrapment in normalized cut clustering. Pattern Recognit. 45(12): 4337-4345 (2012) - [c1]Daniel Aloise, Gilles Caporossi, Pierre Hansen, Leo Liberti, Sylvain Perron, Manuel Ruiz:
Modularity maximization in networks by variable neighborhood search. Graph Partitioning and Graph Clustering 2012: 113-128 - 2011
- [j6]Daniel Aloise, Celso C. Ribeiro:
Adaptive memory in multistart heuristics for multicommodity network design. J. Heuristics 17(2): 153-179 (2011) - [j5]Daniel Aloise, Pierre Hansen:
Evaluating a branch-and-bound RLT-based algorithm for minimum sum-of-squares clustering. J. Glob. Optim. 49(3): 449-465 (2011)
2000 – 2009
- 2009
- [j4]Daniel Aloise, Amit Deshpande, Pierre Hansen, Preyas Popat:
NP-hardness of Euclidean sum-of-squares clustering. Mach. Learn. 75(2): 245-248 (2009) - 2008
- [j3]Celso C. Ribeiro, Daniel Aloise, Thiago F. Noronha, Caroline T. M. Rocha, Sebastián Urrutia:
An efficient implementation of a VNS/ILS heuristic for a real-life car sequencing problem. Eur. J. Oper. Res. 191(3): 596-611 (2008) - [j2]Celso C. Ribeiro, Daniel Aloise, Thiago F. Noronha, Caroline T. M. Rocha, Sebastián Urrutia:
A hybrid heuristic for a multi-objective real-life car sequencing problem with painting and assembly line constraints. Eur. J. Oper. Res. 191(3): 981-992 (2008) - 2006
- [j1]Dario J. Aloise, Daniel Aloise, Caroline T. M. Rocha, Celso C. Ribeiro, José C. Ribeiro Filho, Luiz S. S. Moura:
Scheduling workover rigs for onshore oil production. Discret. Appl. Math. 154(5): 695-702 (2006)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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