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ORCIDAndrea Kulakov
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2020 – today
- 2024
[j6]Boris Stanoev
, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski, Eftim Zdravevski:
Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. Big Data Cogn. Comput. 8(4): 39 (2024)- [c40]Veton Rushiti, Andrea Kulakov, Biljana Risteska Stojkoska:
An Overview of UAS Regulations in the European Union and the Balkan Region. MIPRO 2024: 977-982 - [c39]Nikola Petrovski, Marjan Gusev, Andrea Kulakov:
Atrial Fibrillation Detection using the Stars 2D Convolutional Neural Network. MIPRO 2024: 1199-1204 - 2023
- [c38]Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simães Coelho, Eftim Zdravevski:
Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations 2023: 141-155 - [c37]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Examination of Different Representations of Proteins Using Protein Ray-based Descriptor and Deep Learning Models. MIPRO 2023: 429-434 - 2022
- [c36]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Classification of Protein Structures Using Deep Learning Models. MIPRO 2022: 991-996 - 2020
- [c35]Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski:
Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations 2020: 56-63 - [c34]Georgina Mirceva, Andreja Naumoski, Andrea Kulakov:
Classifying Protein Structures by Using Protein Ray Based Descriptor, KNN and FuzzyKNN Classification Methods. MIPRO 2020: 1120-1124
2010 – 2019
- 2019
- [c33]Georgina Mirceva, Ilinka Ivanoska, Andreja Naumoski, Andrea Kulakov:
Feature Selection for Improved Classification of Protein Structures. MIPRO 2019: 1013-1018 - 2018
- [c32]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations 2018: 132-147 - [c31]Kristijan Spirovski, Evgenija Stevanoska, Andrea Kulakov, Zaneta Popeska, Goran Velinov:
Comparison of different model's performances in task of document classification. WIMS 2018: 10:1-10:12 - [e1]Georgi Stojanov, Andrea Kulakov:
ICT Innovations 2016 - Cognitive Functions and Next Generation ICT Systems, Ohrid, Macedonia, 5-7 September, 2016. Advances in Intelligent Systems and Computing 665, Springer 2018, ISBN 978-3-319-68854-1 [contents] - 2017
- [j5]Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia:
Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. IEEE Access 5: 5262-5280 (2017) - [j4]Petre Lameski, Eftim Zdravevski, Saso Koceski, Andrea Kulakov, Vladimir Trajkovik:
Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal. IEEE Access 5: 5829-5836 (2017) - [c30]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Cloud-based architecture for automated weed control. EUROCON 2017: 757-762 - [c29]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations 2017: 112-119 - 2016
- [c28]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS 2016: 245-248 - [c27]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP 2016: 10-17 - [c26]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD 2016: 252-258 - [i1]Biljana L. Stojkoska, Danco Davcev, Andrea Kulakov:
Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks with Irregular Topologies. CoRR abs/1606.07506 (2016) - 2015
- [c25]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski:
Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. FedCSIS 2015: 169-179 - [c24]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski:
Parallel computation of information gain using Hadoop and MapReduce. FedCSIS 2015: 181-192 - [c23]Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj:
Robust histogram-based feature engineering of time series data. FedCSIS 2015: 381-388 - [c22]Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov:
SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. RSFDGrC 2015: 464-474 - [c21]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov:
Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. TrustCom/BigDataSE/ISPA (2) 2015: 186-191 - 2014
- [j3]Martin Gjoreski, Hristijan Gjoreski, Andrea Kulakov:
Machine Learning Approach for Emotion Recognition in Speech. Informatica (Slovenia) 38(4) (2014) - [c20]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj:
Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. FedCSIS 2014: 387-394 - [c19]Vasilija Uzunova, Andrea Kulakov:
Sentiment Analysis of Movie Reviews Written in Macedonian Language. ICT Innovations 2014: 279-288 - [c18]Spase Stojanovski, Andrea Kulakov:
Efficient Attacks in Industrial Wireless Sensor Networks. ICT Innovations 2014: 289-298 - 2012
- [c17]Georgina Mirceva, Andrea Kulakov:
Top-Down Approach for Protein Binding Sites Prediction Based on Fuzzy Pattern Trees. ICT Innovations 2012: 325-334 - 2011
- [c16]Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev:
Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS 2011: 1-3 - [c15]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. IJCNN 2011: 181-188 - 2010
- [j2]Vesna Poprcova, Georgi Stojanov, Andrea Kulakov:
Inductive Logic Programming (ILP) and Reasoning by Analogy in Context of Embodied Robot Learning. Int. J. Agent Technol. Syst. 2(2): 64-73 (2010) - [c14]Petre Lameski, Andrea Kulakov:
Mobile Robot Environment Learning and Localization Using Active Perception. ICT Innovations 2010: 236-244
2000 – 2009
- 2009
- [j1]Andrea Kulakov, Joona Laukkanen, Blerim Mustafa, Georgi Stojanov:
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations. Int. J. Agent Technol. Syst. 1(1): 34-49 (2009) - [c13]Georgina Mirceva, Andrea Kulakov, Danco Davcev:
SGNG Protein Classifier by Matching 3D Structures. HAIS 2009: 425-432 - [c12]Stojanco Gancev, Andrea Kulakov:
Modified growing neural gas algorithm for faster convergence on signal distribution sudden change. ICAT 2009: 1-5 - [c11]Eftim Zdravevski, Andrea Kulakov:
System for Prediction of the Winner in a Sports Game. ICT Innovations 2009: 55-63 - [c10]Petre Lameski, Andrea Kulakov:
Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms. ICT Innovations 2009: 95-103 - 2008
- [c9]Biljana L. Stojkoska, Danco Davcev, Andrea Kulakov:
Cluster-based MDS algorithm for nodes localization in wireless sensor networks with irregular topologies. CSTST 2008: 384-389 - 2007
- [c8]Danco Davcev, Marjan Arsic, Dalibor Ilievski, Andrea Kulakov:
HCI for m-Learning in Image Processing by Handhelds. HCI (9) 2007: 299-308 - [c7]Andrea Kulakov, Danco Davcev:
Intelligent Wireless Sensor Networks Using FuzzyART Neural-Networks. ISCC 2007: 569-574 - 2006
- [c6]Georgi Stojanov, Andrea Kulakov:
On Curiosity in Intelligent Robotic Systems. AAAI Fall Symposium: Interaction and Emergent Phenomena in Societies of Agents 2006: 44-51 - 2005
- [c5]Andrea Kulakov, Danco Davcev, Georgi Stojanov:
Learning patterns in wireless sensor networks based on wavelet neural networks. ICPADS (2) 2005: 373-377 - [c4]Andrea Kulakov, Danco Davcev:
Distributed Data Processing in Wireless Sensor Networks Based on Artificial Neural-Networks Algorithms. ISCC 2005: 353-358 - [c3]Andrea Kulakov, Danco Davcev:
Tracking of Unusual Events in Wireless Sensor Networks Based on Artificial Neural-Networks Algorithms. ITCC (2) 2005: 534-539 - [c2]Andrea Kulakov, Danco Davcev, Goran Trajkovski:
Application of Wavelet Neural-Networks in Wireless Sensor Networks. SNPD 2005: 262-267 - 2001
- [c1]Andrea Kulakov, Vladimir Trajkovik, Danco Davcev:
An agent based model as a marketing consultant of companies. SMC 2001: 3113-3117
Coauthor Index
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