Andre L. C. Barczak

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Large Scale Data Sets

General Intelligence

Analytical Models

Tchebichef Moments

Top Venues

Publications

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 (2024)
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 (2024)
Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. IEEE Access 11 (2023)
Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review. CoRR (2023)
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) (2022)
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) (2021)
Kyuwon Shim, Andre L. C. Barczak, Napoleon H. Reyes, Nasim Ahmed
Small mammals and bird detection using IoT devices. IVCNZ (2021)
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) (2021)
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)
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) (2020)
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 (2019)
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) (2018)
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)
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)
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)
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)
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)
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)
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)
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) (2013)
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) (2012)
Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
Multiclass Cascades for Ensemble-based Boosting Algorithms. STAIRS (2012)
Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak
Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. RiTA (2012)
Heesang Shin, Napoleon H. Reyes, Andre L. C. Barczak
Adaptive Colour Calibration for Object Tracking under Spatially-Varying Illumination Environments. ICONIP (3) (2011)
Sean W. Gordon, Napoleon H. Reyes, Andre L. C. Barczak
A Hybrid Fuzzy Q-learning algorithm for robot navigation. IJCNN (2011)
Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Martin J. Johnson
Real-time computation of moment invariants combined with contrast stretching. EUSIPCO (2011)
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)
Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift. ICONIP (1) (2010)
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)
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)
Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
A Modular Approach to Training Cascades of Boosted Ensembles. SSPR/SPR (2010)
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) (2009)
MingHui Liu, Gadi Ben-Tal, Napoleon H. Reyes, Andre L. C. Barczak
Navel Orange Blemish Identification for Quality Grading System. ICONIP (2) (2009)
Chris H. Messom, Andre L. C. Barczak
Stream processing of moment invariants for real-time classifiers. ICARA (2009)
Chris H. Messom, Andre L. C. Barczak
Stream Processing of Integral Images for Real-Time Object Detection. PDCAT (2008)
Andre L. C. Barczak, Martin J. Johnson, Chris H. Messom
Empirical evaluation of a new structure for AdaBoost. SAC (2008)
Chris H. Messom, Andre L. C. Barczak
Stream Processing of Geometric and Central Moments Using High Precision Summed Area Tables. ICONIP (1) (2008)
Teo Susnjak, Andre L. C. Barczak
Accelerated Classifier Training Using the PSL Cascading Structure. ICONIP (1) (2008)
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)
Daniel P. Playne, Vrushank D. Mehta, Napoleon H. Reyes, Andre L. C. Barczak
Hybrid Fuzzy Colour Processing and Learning. ICONIP (2) (2007)
Andre L. C. Barczak, Farhad Dadgostar, Martin J. Johnson
Real-time hand tracking using the viola and jones method. SIP (2005)
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)
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)