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ORCIDAmílcar Soares Júnior 0001
Amílcar Soares 0001
Person information
- affiliation: Linnaeus University, Department of Computer Science and Media Technology, Växjö, Sweden
Other persons with the same name
- Amílcar Soares 0002
![[0000-0001-5232-2376]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5232-2376")
(aka: Amilcar Soares 0002) — University of Lisbon, Instituto Superior Técnico, Portugal
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2020 – today
- 2024
[j19]Jordan Truman Paul Noel, Vinicius Prado da Fonseca, Amílcar Soares:
A Comprehensive Data Pipeline for Comparing the Effects of Momentum on Sports Leagues. Data 9(2): 29 (2024)- [j18]Shemonto Das, Vinicius Prado da Fonseca, Amílcar Soares:
Active learning strategies for robotic tactile texture recognition tasks. Frontiers Robotics AI 11 (2024) - [j17]Jordan Truman Paul Noel, Vinicius Prado da Fonseca, Amílcar Soares:
The Use of Momentum-Inspired Features in Pre-Game Prediction Models for the Sport of Ice Hockey. Int. J. Comput. Sci. Sport 23(1): 1-21 (2024) - [c27]Shemonto Das, Vimal Simha, Joshua Swamidas, Amílcar Soares, Vinicius Prado da Fonseca:
Unbalanced Fault Classification Using Active Learning in Synthetic Fiber Manufacturing Process. SysCon 2024: 1-8 - [i24]Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares:
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. CoRR abs/2401.03406 (2024) - [i23]Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares:
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. CoRR abs/2401.03410 (2024) - [i22]Ruixin Song, Gabriel Spadon, Ronald Pelot, Stan Matwin, Amílcar Soares:
Gravity-Informed Deep Learning Framework for Predicting Ship Traffic Flow and Invasion Risk of Non-Indigenous Species via Ballast Water Discharge. CoRR abs/2401.13098 (2024) - [i21]Nader Zare, Aref Sayareh, Alireza Sadraii, Arad Firouzkouhi, Amílcar Soares Júnior:
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation. CoRR abs/2406.05621 (2024) - 2023
- [b1]Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Generative Methods for Social Media Analysis. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-33616-4, pp. 1-67 - [j16]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access 11: 18821-18837 (2023) - [j15]Kamran Niroomand, Noori M. Cata Saady, Carlos Bazan, Sohrab Zendehboudi, Amílcar Soares, Talib M. Albayati:
Smart investigation of artificial intelligence in renewable energy system technologies by natural language processing: Insightful pattern for decision-makers. Eng. Appl. Artif. Intell. 126: 106848 (2023) - [j14]Martha Dais Ferreira, Jessica N. A. Campbell, Evan Purney, Amílcar Soares, Stan Matwin:
Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories. Int. J. Geogr. Inf. Sci. 37(3): 660-683 (2023) - [c26]Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amílcar Soares:
A Data Augmentation Algorithm for Trajectory Data. EMODE@SIGSPATIAL 2023: 25-29 - [e1]Amílcar Soares, Farhana H. Zulkernine, Renata Dividino, Reihaneh Rabbany, Qiang Ye, David Beach, Karim Ali:
36th Canadian Conference on Artificial Intelligence, Canadian AI, CANAI 2023, Montreal, Canada, June 5-9, 2023, Proceedings. Canadian Artificial Intelligence Association 2023 [contents] - [i20]Nader Zare, Aref Sayareh, Omid Amini, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares:
Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation. CoRR abs/2307.16875 (2023) - [i19]Aref Sayareh, Aria Sardari, Vahid Khoddami, Nader Zare, Vinicius Prado da Fonseca, Amílcar Soares:
Denoising Opponents Position in Partial Observation Environment. CoRR abs/2310.14553 (2023) - [i18]Gabriel Spadon, Jay Kumar, Matthew Smith, Sarah Vela, Romina Gehrmann, Derek Eden, Joshua van Berkel, Amílcar Soares, Ronan Fablet, Ronald Pelot, Stan Matwin:
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting. CoRR abs/2310.18948 (2023) - 2022
- [j13]Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin:
Understanding evolution of maritime networks from automatic identification system data. GeoInformatica 26(3): 479-503 (2022) - [j12]Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amílcar Soares, Stan Matwin:
From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea. GeoInformatica 26(4): 551-579 (2022) - [j11]Yashar Tavakoli, Lourdes Peña Castillo, Amílcar Soares:
A Study on the Geometric and Kinematic Descriptors of Trajectories in the Classification of Ship Types. Sensors 22(15): 5588 (2022) - [j10]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A Semi-Supervised Methodology for Fishing Activity Detection Using the Geometry behind the Trajectory of Multiple Vessels. Sensors 22(16): 6063 (2022) - [j9]Salman Haidri, Yaksh J. Haranwala, Vania Bogorny, Chiara Renso, Vinicius Prado da Fonseca, Amílcar Soares:
PTRAIL - A python package for parallel trajectory data preprocessing. SoftwareX 19: 101176 (2022) - [c25]Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin:
A Modularized Framework for Explaining Black Box Classifiers for Text Data. Canadian AI 2022 - [c24]Matthew Hamilton, Nicholas Wells, Amílcar Soares:
On Requirements for Field of Light Displays to Pass the Visual Turing Test. ISM 2022: 86-87 - [c23]Yaksh J. Haranwala, Salman Haidri, Terrence S. Tricco, Vinicius Prado da Fonseca, Amílcar Soares:
A Dashboard Tool for Mobility Data Mining Preprocessing Tasks. MDM 2022: 278-281 - [c22]Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares:
Cyrus2D Base: Source Code Base for RoboCup 2D Soccer Simulation League. RoboCup 2022: 140-151 - [c21]Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares, Mohammad Etemad, Bruno Brandoli, Stan Matwin:
A Topological Perspective of Port Networks From Three Years (2017-2019) of AIS Data. SEBD 2022: 268-275 - [c20]Humberto Navarro de Carvalho, Lucas Pontes Castro, Thaís Gaudencio do Rêgo, Telmo de Menezes e Silva Filho, Yuri de A. M. Barbosa, Leonardo Vidal Batista, Amílcar Soares, Vinicius Prado da Fonseca:
Evaluating Data Representations for Object Recognition During Pick-and-Place Manipulation Tasks. SysCon 2022: 1-6 - [i17]Gabriel Spadon, Martha Dais Ferreira, Amílcar Soares, Stan Matwin:
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks. CoRR abs/2202.13867 (2022) - [i16]Nader Zare, Arad Firouzkouhi, Omid Amini, Mahtab Sarvmaili, Aref Sayareh, Saba Ramezani Rad, Stan Matwin, Amílcar Soares:
CYRUS Soccer Simulation 2D Team Description Paper 2022. CoRR abs/2205.10953 (2022) - [i15]Nader Zare, Aref Sayareh, Mahtab Sarvmaili, Omid Amini, Amílcar Soares, Stan Matwin:
CYRUS Soccer Simulation 2D Team Description Paper 2021. CoRR abs/2206.02310 (2022) - [i14]Martha Dais Ferreira, Gabriel Spadon, Amílcar Soares, Stan Matwin:
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages. CoRR abs/2207.05514 (2022) - [i13]Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Saba Ramezani Rad, Stan Matwin, Amílcar Soares:
Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League. CoRR abs/2211.08585 (2022) - 2021
- [j8]Iraklis Varlamis, Ioannis Kontopoulos, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
Building navigation networks from multi-vessel trajectory data. GeoInformatica 25(1): 69-97 (2021) - [j7]Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin:
SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica 25(2): 269-289 (2021) - [j6]Fernando Henrique Oliveira Abreu, Amílcar Soares Júnior, Fernando V. Paulovich, Stan Matwin:
A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS Int. J. Geo Inf. 10(6): 412 (2021) - [j5]Fateha Khanam Bappee, Amílcar Soares, Lucas May Petry, Stan Matwin:
Examining the impact of cross-domain learning on crime prediction. J. Big Data 8(1): 96 (2021) - [j4]Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin:
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors 21(12): 4026 (2021) - [c19]Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin:
A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian AI 2021 - [c18]Fernando Henrique Oliveira Abreu, Amílcar Soares, Fernando V. Paulovich, Stan Matwin:
Local Anomaly Detection In Maritime Traffic Using Visual Analytics. EDBT/ICDT Workshops 2021 - [c17]Jinkun Chen, Vinicius Monteiro de Lira, Fernando V. Paulovich, Amílcar Soares:
Transitive Halifax: An Activity-Based Search Engine for Bus Routes. MDM 2021: 233-235 - [c16]Nader Zare, Mahtab Sarvmaili, Aref Sayareh, Omid Amini, Stan Matwin, Amílcar Soares:
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games. RoboCup 2021: 140-152 - [c15]Nader Zare, Omid Amini, Aref Sayareh, Mahtab Sarvmaili, Arad Firouzkouhi, Stan Matwin, Amílcar Soares:
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning. RoboCup 2021: 340-351 - [i12]Mário Cardoso, André Cavalheiro, Alexandre Borges, Ana Filipa Duarte, Amílcar Soares, Maria João Pereira, Nuno Jardim Nunes, Leonardo Azevedo, Arlindo L. Oliveira:
Modeling the geospatial evolution of COVID-19 using spatio-temporal convolutional sequence-to-sequence neural networks. CoRR abs/2105.02752 (2021) - [i11]Nader Zare, Bruno Brandoli, Mahtab Sarvmaili, Amílcar Soares, Stan Matwin:
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels. CoRR abs/2106.14130 (2021) - [i10]Salman Haidri, Yaksh J. Haranwala, Vania Bogorny, Chiara Renso, Vinicius Prado da Fonseca, Amílcar Soares:
PTRAIL - A python package for parallel trajectory data preprocessing. CoRR abs/2108.13202 (2021) - [i9]Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Survey of Generative Methods for Social Media Analysis. CoRR abs/2112.07041 (2021) - 2020
- [j3]Damiao Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amílcar Soares Júnior:
A Survey on Big Data for Trajectory Analytics. ISPRS Int. J. Geo Inf. 9(2): 88 (2020) - [c14]Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo:
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian AI 2020: 208-219 - [c13]Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin:
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Canadian AI 2020: 220-231 - [c12]Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin:
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Canadian AI 2020: 401-407 - [c11]Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin:
Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT Workshops 2020 - [i8]Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo:
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR abs/2003.10248 (2020) - [i7]Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin:
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. CoRR abs/2003.10249 (2020) - [i6]Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin:
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. CoRR abs/2004.03722 (2020) - [i5]Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin:
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR abs/2006.07516 (2020)
2010 – 2019
- 2019
- [c10]Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin:
A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. EDBT/ICDT Workshops 2019 - [c9]Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo:
On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops 2019 - [c8]Amílcar Soares Júnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin:
VISTA: A visual analytics platform for semantic annotation of trajectories. EDBT 2019: 570-573 - [c7]Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. EDBT/ICDT Workshops 2019 - [c6]Amílcar Soares, Renata Dividino, Fernando Henrique Oliveira Abreu, Matthew Brousseau, Anthony W. Isenor, Sean Webb, Stan Matwin:
CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection. ICMCIS 2019: 1-7 - [c5]Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amílcar Soares Júnior, Stan Matwin:
Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. MASTER@PKDD/ECML 2019: 83-99 - [i4]Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin:
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. CoRR abs/1908.05103 (2019) - 2018
- [c4]Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. Canadian AI 2018: 259-264 - [c3]Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin:
Predicting Crime Using Spatial Features. Canadian AI 2018: 367-373 - [c2]Amílcar Soares Júnior, Valéria Cesário Times, Chiara Renso, Stan Matwin, Lucídio A. F. Cabral:
A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. MDM 2018: 145-154 - [i3]Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal. CoRR abs/1802.10164 (2018) - [i2]Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin:
Predicting Crime Using Spatial Features. CoRR abs/1803.04474 (2018) - [i1]Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin:
On feature selection and evaluation of transportation mode prediction strategies. CoRR abs/1808.03096 (2018) - 2017
- [j2]Amílcar Soares Júnior, Chiara Renso, Stan Matwin:
ANALYTiC: An Active Learning System for Trajectory Classification. IEEE Computer Graphics and Applications 37(5): 28-39 (2017) - 2015
- [j1]Amílcar Soares Júnior, Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin, Lucídio dos Anjos Formiga Cabral:
GRASP-UTS: an algorithm for unsupervised trajectory segmentation. Int. J. Geogr. Inf. Sci. 29(1): 46-68 (2015) - 2014
- [c1]Bruno Moreno, Amílcar Soares Júnior, Valéria Cesário Times, Patrícia C. A. R. Tedesco, Stan Matwin:
Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. Canadian AI 2014: 333-338
Coauthor Index
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