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2020 – today
- 2024
[i4]Teo Susnjak, Peter Hwang, Napoleon H. Reyes, Andre L. C. Barczak, Timothy R. McIntosh, Surangika Ranathunga:
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. CoRR abs/2404.08680 (2024)- [i3]Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul A. Watters, Malka N. Halgamuge:
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. CoRR abs/2407.03652 (2024) - 2023
- [j9]Martin Brenner
, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak:
RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. IEEE Access 11: 82410-82442 (2023) - [i2]Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak:
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review. CoRR abs/2305.11427 (2023) - 2022
- [j8]Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak:
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models. J. Big Data 9(1): 67 (2022) - 2021
- [j7]Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak:
An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster. Big Data Cogn. Comput. 5(4): 65 (2021) - [j6]Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak:
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters. J. Big Data 8(1): 107 (2021) - [c30]Kyuwon Shim, Andre L. C. Barczak, Napoleon H. Reyes, Nasim Ahmed:
Small mammals and bird detection using IoT devices. IVCNZ 2021: 1-6 - 2020
- [j5]Nasim Ahmed, Andre L. C. Barczak, Teo Susnjak, Mohammed A. Rashid:
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench. J. Big Data 7(1): 110 (2020) - [c29]Mona Alshehri, Napoleon H. Reyes, Andre L. C. Barczak:
Evolving Meta-Level Reasoning with Reinforcement Learning and A* for Coordinated Multi-Agent Path-planning. AAMAS 2020: 1744-1746
2010 – 2019
- 2019
- [i1]Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak:
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters. CoRR abs/1910.09758 (2019) - 2018
- [j4]Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu:
Toward three-dimensional human action recognition using a convolutional neural network with correctness-vigilant regularizer. J. Electronic Imaging 27(04): 043040 (2018) - [c28]Jun Ren, Napoleon H. Reyes, Andre L. C. Barczak, Chris Scogings, Mingzhe Liu, Jing Ma:
Robust Skeleton-based Action Recognition through Hierarchical Aggregation of Local and Global Spatio-temporal Features. ICARCV 2018: 901-906 - 2015
- [c27]Teo Susnjak, David Kerry, Andre L. C. Barczak, Napoleon H. Reyes, Yaniv Gal:
Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies. Australasian Conference on Artificial Intelligence 2015: 526-538 - [c26]Safar Alqahtani, Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Austen Ganley:
Automatic alignment and comparison on images of petri dishes containing cell colonies. IVCNZ 2015: 1-6 - [c25]Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, A. Jordan:
Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm. RiTA 2015: 31-41 - 2014
- [c24]Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes:
Characterisation of the Discriminative Properties of the Radial Tchebichef Moments for Hand-written Digits. IVCNZ 2014: 154 - [c23]W. Wang, Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, Peter Sincak:
Multi-Behaviour Robot Control using Genetic Network Programming with Fuzzy Reinforcement Learning. RiTA 2014: 151-158 - 2013
- [j3]Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick:
Coarse-to-fine multiclass learning and classification for time-critical domains. Pattern Recognit. Lett. 34(8): 884-894 (2013) - [c22]Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes, Martin J. Johnson:
Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers. IVCNZ 2013: 136-141 - 2012
- [j2]Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick:
Adaptive cascade of boosted ensembles for face detection in concept drift. Neural Comput. Appl. 21(4): 671-682 (2012) - [c21]Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak:
Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. RiTA 2012: 713-722 - [c20]Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick:
Multiclass Cascades for Ensemble-based Boosting Algorithms. STAIRS 2012: 330-335 - 2011
- [c19]Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick:
A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners. CAIP (1) 2011: 563-570 - [c18]Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Martin J. Johnson:
Real-time computation of moment invariants combined with contrast stretching. EUSIPCO 2011: 544-548 - [c17]Heesang Shin, Napoleon H. Reyes, Andre L. C. Barczak:
Adaptive Colour Calibration for Object Tracking under Spatially-Varying Illumination Environments. ICONIP (3) 2011: 495-505 - [c16]Sean W. Gordon, Napoleon H. Reyes, Andre L. C. Barczak:
A Hybrid Fuzzy Q-learning algorithm for robot navigation. IJCNN 2011: 2625-2631 - 2010
- [c15]Heesang Shin, Napoleon H. Reyes, Andre L. C. Barczak:
A Hybrid Fuzzy-Genetic Colour Classification System with Best Colour Space Selection under Dynamically-Changing Illumination. ICONIP (2) 2010: 291-299 - [c14]Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick:
Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift. ICONIP (1) 2010: 438-445 - [c13]Heesang Shin, Napoleon H. Reyes, Andre L. C. Barczak, Chee Seng Chan:
Colour Object Classification Using the Fusion of Visible and Near-Infrared Spectra. PRICAI 2010: 498-509 - [c12]Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick:
A Modular Approach to Training Cascades of Boosted Ensembles. SSPR/SPR 2010: 640-649
2000 – 2009
- 2009
- [j1]Chris H. Messom, Andre L. C. Barczak:
Stream processing for fast and efficient rotated Haar-like features using rotated integral images. Int. J. Intell. Syst. Technol. Appl. 7(1): 40-57 (2009) - [c11]Chris H. Messom, Andre L. C. Barczak:
Stream processing of moment invariants for real-time classifiers. ICARA 2009: 233-238 - [c10]MingHui Liu, Gadi Ben-Tal, Napoleon H. Reyes, Andre L. C. Barczak:
Navel Orange Blemish Identification for Quality Grading System. ICONIP (2) 2009: 675-682 - 2008
- [c9]Teo Susnjak, Andre L. C. Barczak:
Accelerated Classifier Training Using the PSL Cascading Structure. ICONIP (1) 2008: 945-952 - [c8]Chris H. Messom, Andre L. C. Barczak:
Stream Processing of Geometric and Central Moments Using High Precision Summed Area Tables. ICONIP (1) 2008: 1095-1102 - [c7]Chris H. Messom, Andre L. C. Barczak:
Stream Processing of Integral Images for Real-Time Object Detection. PDCAT 2008: 405-412 - [c6]Andre L. C. Barczak, Martin J. Johnson, Chris H. Messom:
Empirical evaluation of a new structure for AdaBoost. SAC 2008: 1764-1765 - 2007
- [c5]Daniel P. Playne, Vrushank D. Mehta, Napoleon H. Reyes, Andre L. C. Barczak:
Hybrid Fuzzy Colour Processing and Learning. ICONIP (2) 2007: 386-395 - [c4]Andre L. C. Barczak, Chris H. Messom, Ravi Chemudugunta:
Real-time Rotationally Invariant Features for Environmental Feature Detection by Mobile Robots Sensor Networks. ROSE 2007: 19-24 - 2005
- [c3]Andre L. C. Barczak, Farhad Dadgostar, Martin J. Johnson:
Real-time hand tracking using the viola and jones method. SIP 2005: 336-341 - 2004
- [c2]Andre L. C. Barczak:
Evaluation of a Boosted Cascade of Haar-Like Features in the Presence of Partial Occlusions and Shadows for Real Time Face Detection. PRICAI 2004: 969-970 - 2003
- [c1]Andre L. C. Barczak, Chris H. Messom, Martin J. Johnson:
Performance Characteristics of a Cost-Effective Medium-Sized Beowulf Cluster Supercomputer. International Conference on Computational Science 2003: 1050-1059
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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