Andrea Kulakov

发表

Machine Learning Approach for Emotion Recognition in Speech

Martin Gjoreski, Hristijan Gjoreski, Andrea Kulakov, 2014, Informatica.

A model of an expectancy-driven and analogy-making actor

Georgi Stojanov, Danco Davcev, Andrea Kulakov, 2002, Proceedings 2nd International Conference on Development and Learning. ICDL 2002.

HCI for m-Learning in Image Processing by Handhelds

Danco Davcev, Andrea Kulakov, Marjan Arsic, 2007, HCI.

THE ROLE OF ARTIFICIAL NEURAL NETWORKS IN DETECTION OF PULMONARY FUNCTIONAL ABNORMALITIES

Andrea Kulakov, Aneta Mirceska, Saso Stoleski, 2009 .

Web-based assessment tool for Teachers Digital Competency

Sonja Filiposka, Vladimir Trajkovik, Andrea Kulakov, 2018, AIIT 2018.

Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets

Dejan Gjorgjevikj, Eftim Zdravevski, Andrea Kulakov, 2014, 2014 Federated Conference on Computer Science and Information Systems.

Structures, inner values, hierarchies and stages: essentials for developmental robot architectures

Georgi Stojanov, Andrea Kulakov, G. Stojanov, 2002 .

Application of wavelet neural-networks in wireless sensor networks

Danco Davcev, Andrea Kulakov, Goran Trajkovski, 2005, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.

An agent based model as a marketing consultant of companies

Danco Davcev, Vladimir Trajkovik, Andrea Kulakov, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Sentiment Analysis of Movie Reviews Written in Macedonian Language

Andrea Kulakov, Vasilija Uzunova, 2014, ICT Innovations.

Distributed data processing in wireless sensor networks based on artificial neural-networks algorithms

Danco Davcev, Andrea Kulakov, A. Kulakov, 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).

Automatic feature engineering for prediction of dangerous seismic activities in coal mines

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2016, 2016 Federated Conference on Computer Science and Information Systems (FedCSIS).

Classification of Protein Structures by Making Fuzzy-Rough Feature Selection

Georgina Mirceva, Andrea Kulakov, Andreja Naumoski, 2020, 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Modified growing neural gas algorithm for faster convergence on signal distribution sudden change

Andrea Kulakov, Stojanco Gancev, A. Kulakov, 2009, 2009 XXII International Symposium on Information, Communication and Automation Technologies.

Intelligent DataAcquisition andProcessing UsingWavelet Neural-Networks

Andrea Kulakov, A. Kulakov, 2005 .

On Curiosity in Intelligent Robotic Systems

Georgi Stojanov, Andrea Kulakov, G. Stojanov, 2006, AAAI Fall Symposium: Interaction and Emergent Phenomena in Societies of Agents.

Comparison of different model's performances in task of document classification

Evgenija Stevanoska, Goran Velinov, Andrea Kulakov, 2018, WIMS.

Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce

Sonja Filiposka, Eftim Zdravevski, Dimitar Trajanov, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition

Eftim Zdravevski, Danco Davcev, Andrea Kulakov, 2011, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS).

Weed Segmentation from Grayscale Tobacco Seedling Images

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2016, RAAD.

Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter

Eftim Zdravevski, Slobodan Kalajdziski, Andrea Kulakov, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

Learning and position estimation of a mobile robot in an indoor environment using FuzzyART neural network

Danco Davcev, Andrea Kulakov, Petre Lameski, 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions

Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov, 2017, ICT Innovations.

Application of BCI Technology for Color Prediction Using Brainwaves

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2012 .

SGNG Protein Classifier by Matching 3D Structures

Georgina Mirceva, Danco Davcev, Andrea Kulakov, 2009, HAIS.

SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2015, RSFDGrC.

Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal

Saso Koceski, Eftim Zdravevski, Vladimir Trajkovik, 2017, IEEE Access.

Classification of protein structures by using fuzzy KNN classifier and protein voxel-based descriptor

Georgina Mirceva, Andrea Kulakov, Andreja Naumoski, 2018 .

Top-Down Approach for Protein Binding Sites Prediction Based on Fuzzy Pattern Trees

Georgina Mirceva, Andrea Kulakov, A. Kulakov, 2012, ICT Innovations.

Review of Automated Weed Control Approaches: An Environmental Impact Perspective

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2018, ICT Innovations.

Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms

Andrea Kulakov, Petre Lameski, A. Kulakov, 2009, ICT Innovations.

System for Prediction of the Winner in a Sports Game

Eftim Zdravevski, Andrea Kulakov, A. Kulakov, 2009, ICT Innovations.

Inductive Logic Programming and Embodied Agents: Possibilities and Limitations

Georgi Stojanov, Andrea Kulakov, Blerim Mustafa, 2009, Int. J. Agent Technol. Syst..

Intelligent data aggregation in sensor networks using artificial neural-networks algorithms

Danco Davcev, Andrea Kulakov, A. Kulakov, 2005 .

Cloud-based architecture for automated weed control

Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov, 2017, IEEE EUROCON 2017 -17th International Conference on Smart Technologies.

Towards Cleaner Environments by Automated Garbage Detection in Images

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2020, ICT Innovations.

Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce

Sonja Filiposka, Eftim Zdravevski, Dimitar Trajanov, 2015, TrustCom 2015.

Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2016, 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP).

Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2011, The 2011 International Joint Conference on Neural Networks.

Mobile Robot Environment Learning and Localization Using Active Perception

Andrea Kulakov, Petre Lameski, 2010, ICT Innovations.

A Novel Approach For Classifying Protein Structures Based On Fuzzy Decision Tree

Georgina Mirceva, Andrea Kulakov, Andreja Naumoski, 2018, 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Parallel computation of information gain using Hadoop and MapReduce

Sonja Filiposka, Eftim Zdravevski, Dimitar Trajanov, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

Learning patterns in wireless sensor networks based on wavelet neural networks

Georgi Stojanov, Danco Davcev, Andrea Kulakov, 2005, 11th International Conference on Parallel and Distributed Systems (ICPADS'05).

Automatic Recognition of Emotions from Speech

Martin Gjoreski, Hristijan Gjoreski, Andrea Kulakov, 2019 .

Testbed Environment for Wireless Sensor and Actuator Networks

Vladimir Trajkovic, Danco Davcev, Andrea Kulakov, 2010, 2010 Fifth International Conference on Systems and Networks Communications.

Inductive Logic Programming (ILP) and Reasoning by Analogy in Context of Embodied Robot Learning

Georgi Stojanov, Andrea Kulakov, Vesna Poprcova, 2010, Int. J. Agent Technol. Syst..

Cluster-based MDS algorithm for nodes localization in wireless sensor networks with irregular topologies

Danco Davcev, Andrea Kulakov, Biljana L. Stojkoska, 2008, CSTST.

ICT Innovations 2016 - Cognitive Functions and Next Generation ICT Systems, Ohrid, Macedonia, 5-7 September, 2016

Georgi Stojanov, Andrea Kulakov, 2018, ICT Innovations.

Probabilistic Predictions of Ensemble of Classifiers Combined with Dynamically Weighted Majority Vote

Eftim Zdravevski, Slobodan Kalajdziski, Danco Davcev, 2011 .

Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms

Danco Davcev, Andrea Kulakov, A. Kulakov, 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

Efficient Attacks in Industrial Wireless Sensor Networks

Andrea Kulakov, Spase Stojanovski, 2014, ICT Innovations.

Protein classification by using four approaches for extraction of the protein ray-based descriptor

Georgina Mirceva, Andrea Kulakov, A. Kulakov, 2020 .

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

Rossitza Goleva, Nuno Pombo, Eftim Zdravevski, 2017, IEEE Access.

Interactivist approach to representation in epigenetic agents

Georgi Stojanov, Andrea Kulakov, G. Stojanov, 2003 .

Robust histogram-based feature engineering of time series data

Dejan Gjorgjevikj, Eftim Zdravevski, Andrea Kulakov, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

Intelligent Wireless Sensor Networks Using FuzzyART Neural-Networks

Danco Davcev, Andrea Kulakov, A. Kulakov, 2007, 2007 12th IEEE Symposium on Computers and Communications.

Distributed Algorithm for a Mobile Wireless Sensor Network for Optimal Coverage of Non-stationary Signals

Andrea Kulakov, 2005 .

TOWARDS A GENERAL TECHNIQUE FOR TRANSFORMATION OF NOMINAL FEATURES INTO NUMERIC FEATURES IN SUPERVISED LEARNING

Eftim Zdravevski, Andrea Kulakov, Petre Lameski, 2014 .

Improvement of protein binding sites prediction by selecting amino acid residues' features.

Georgina Mirceva, Andrea Kulakov, A. Kulakov, 2015, Journal of structural biology.