Daniel Aloise

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 46

Top Topics

Novelty Detection

Data Transformation

Pairwise Constraints

Distance Metric

Top Venues

J. Glob. Optim.

Int. Trans. Oper. Res.

Publications

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) (2024)
Vithor G. F. Bertalan, Daniel Aloise
Using Transformer Models and Textual Analysis for Log Parsing. ISSRE (2023)
Rodrigo Randel, Daniel Aloise, Alain Hertz
A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation. SDM (2023)
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
A Practical Survey on Faster and Lighter Transformers. ACM Comput. Surv. 55 (14s) (2023)
Quentin Fournier, Daniel Aloise, Leandro Rincon Costa
Language Models for Novelty Detection in System Call Traces. CoRR (2023)
Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi
OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations. DCOSS (2022)
Diego Rocha Lima, Daniel Aloise, Dario J. Aloise, Claudio Contardo
Visual attractiveness in vehicle routing via bi-objective optimization. Comput. Oper. Res. 137 (2022)
Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes
FaST: A linear time stack trace alignment heuristic for crash report deduplication. MSR (2022)
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 (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2021)
Iman Kohyarnejadfard, Daniel Aloise, Michel R. Dagenais, Mahsa Shakeri
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis. Entropy 23 (8) (2021)
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) (2021)
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
A Practical Survey on Faster and Lighter Transformers. CoRR (2021)
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
Automatic Cause Detection of Performance Problems in Web Applications. CoRR (2021)
Rodrigo Randel, Daniel Aloise, Alain Hertz
Exploring dual information in distance metric learning for clustering. CoRR (2021)
Quentin Fournier, Daniel Aloise
Empirical comparison between autoencoders and traditional dimensionality reduction methods. CoRR (2021)
Laurent Boucaud, Daniel Aloise, Nicolas Saunier
Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction? CoRR (2021)
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
On Improving Deep Learning Trace Analysis with System Call Arguments. MSR (2021)
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) (2021)
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) (2021)
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
On Improving Deep Learning Trace Analysis with System Call Arguments. CoRR (2021)
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 (2020)
Mohammed Najib Haouas, Daniel Aloise, Gilles Pesant
An Exact CP Approach for the Cardinality-Constrained Euclidean Minimum Sum-of-Squares Clustering Problem. CPAIOR (2020)
Daniel Nobre Pinheiro, Samuel Xavier de Souza, Daniel Aloise
Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets. IPDPS Workshops (2020)
Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes, Michel Dagenais
A Soft Alignment Model for Bug Deduplication. MSR (2020)
Théo Moins, Daniel Aloise, Simon J. Blanchard
RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. RecSys (2020)
Daniel Nobre Pinheiro, Daniel Aloise, Simon J. Blanchard
-medoids clustering. Fuzzy Sets Syst. 389 (2020)
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
Automatic Cause Detection of Performance Problems in Web Applications. ISSRE Workshops (2019)
Quentin Fournier, Daniel Aloise
Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods. AIKE (2019)
Dusan Dzamic, Daniel Aloise, Nenad Mladenovic
Ascent-descent variable neighborhood decomposition search for community detection by modularity maximization. Ann. Oper. Res. 272 (1-2) (2019)
Rodrigo Randel, Daniel Aloise, Nenad Mladenovic, Pierre Hansen
On the k-Medoids Model for Semi-supervised Clustering. ICVNS (2018)
Pierre Hulot, Daniel Aloise, Sanjay Dominik Jena
Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. KDD (2018)
Bruno Jefferson de S. Pessoa, Daniel Aloise, Lucídio dos Anjos F. Cabral
The Weighted Fair Sequences Problem. Comput. Oper. Res. 91 (2018)
Demetrios Coutinho, Samuel Xavier de Souza, Daniel Aloise
A Scalable Shared-Memory Parallel Simplex for Large-Scale Linear Programming. CoRR (2018)
Daniel Aloise, Claudio Contardo
A sampling-based exact algorithm for the solution of the minimax diameter clustering problem. J. Glob. Optim. 71 (3) (2018)
Kayo Gonçalves-e-Silva, Daniel Aloise, Samuel Xavier de Souza
Parallel synchronous and asynchronous coupled simulated annealing. J. Supercomput. 74 (6) (2018)
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) (2018)
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 (2018)
Daniel Aloise, Nielsen Castelo Damasceno, Nenad Mladenovic, Daniel Nobre Pinheiro
On Strategies to Fix Degenerate k-means Solutions. J. Classif. 34 (2) (2017)
Artem V. Pyatkin, Daniel Aloise, Nenad Mladenovic
NP-Hardness of balanced minimum sum-of-squares clustering. Pattern Recognit. Lett. 97 (2017)
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 (2017)
Éverton Santi, Daniel Aloise, Simon J. Blanchard
A model for clustering data from heterogeneous dissimilarities. Eur. J. Oper. Res. 253 (3) (2016)
Daniel Aloise, Arthur Araujo
A derivative-free algorithm for refining numerical microaggregation solutions. Int. Trans. Oper. Res. 22 (4) (2015)
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) (2014)
Daniel Aloise, Pierre Hansen, Caroline T. M. Rocha, Éverton Santi
Column generation bounds for numerical microaggregation. J. Glob. Optim. 60 (2) (2014)
Daniel Aloise, Pierre Hansen, Caroline T. M. Rocha
Global optimization workshop 2012. J. Glob. Optim. 60 (2) (2014)
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) (2014)
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)
Pierre Hansen, Manuel Ruiz, Daniel Aloise
A VNS heuristic for escaping local extrema entrapment in normalized cut clustering. Pattern Recognit. 45 (12) (2012)
Daniel Aloise, Pierre Hansen, Leo Liberti
An improved column generation algorithm for minimum sum-of-squares clustering. Math. Program. 131 (1-2) (2012)
Daniel Aloise, Pierre Hansen
Evaluating a branch-and-bound RLT-based algorithm for minimum sum-of-squares clustering. J. Glob. Optim. 49 (3) (2011)
Daniel Aloise, Celso C. Ribeiro
Adaptive memory in multistart heuristics for multicommodity network design. J. Heuristics 17 (2) (2011)
Daniel Aloise, Amit Deshpande, Pierre Hansen, Preyas Popat
NP-hardness of Euclidean sum-of-squares clustering. Mach. Learn. 75 (2) (2009)
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) (2008)
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) (2008)
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) (2006)