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ORCIDEva Tuba
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2020 – today
- 2024
[c58]Julia Alford, Eva Tuba:
Cassava Plant Disease Detection Using Transfer Learning with Convolutional Neural Networks. ISDFS 2024: 1-6- [c57]Matvei Popov, Eva Tuba:
Credible Diffusion: Improving Diffusion Models Interpretability with Transformer Embeddings. ISDFS 2024: 1-6 - [c56]Eva Tuba, Ahad Nasab, Asaf Varol:
Welcome Note from Co-Chairs. ISDFS 2024: 1-2 - 2023
- [c55]Garrett Greiner, Eva Tuba
:
Detecting Image Forgery Using Support Vector Machine and Texture Features. IDEAL 2023: 529-537 - [c54]Leah McIntyre, Eva Tuba:
Brain Tumor Segmentation and Classification using Texture Features and Support Vector Machine. ISDFS 2023: 1-5 - [c53]Una Tuba, Eva Tuba, Milan Tuba, Mladen D. Veinovic:
Feature Selection for Classification Problems by Binary Bare Bones Fireworks Algorithm. ISDFS 2023: 1-6 - 2022
- [j4]Timea Bezdan, Miodrag Zivkovic, Nebojsa Bacanin, Ivana Strumberger, Eva Tuba, Milan Tuba:
Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm. J. Intell. Fuzzy Syst. 42(1): 411-423 (2022) - [c52]Luca Manzoni, Luca Mariot, Eva Tuba:
The Influence of Local Search on Genetic Algorithms with Balanced Representations. BIOMA 2022: 232-246 - [c51]Eva Tuba, Adis Alihodzic, Una Tuba, Romana Capor-Hrosik, Milan Tuba:
Swarm Intelligence Approach for Feature Selection Problem. ISDFS 2022: 1-6 - [c50]Nebojsa Bacanin, Aleksandar Petrovic, Milos Antonijevic, Miodrag Zivkovic, Marko Sarac, Eva Tuba, Ivana Strumberger:
Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm. MDIS 2022: 104-121 - [c49]Adis Alihodzic, Eva Tuba, Milan Tuba:
Two-Phase Algorithm for Solving Vehicle Routing Problem with Time Windows. NMA 2022: 14-25 - [c48]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network. RADIOELEKTRONIKA 2022: 1-4 - [i3]Luca Manzoni, Luca Mariot, Eva Tuba:
The Influence of Local Search over Genetic Algorithms with Balanced Representations. CoRR abs/2206.10974 (2022) - 2021
- [c47]Luca Manzoni, Luca Mariot, Eva Tuba:
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias. CANDAR (Workshops) 2021: 234-240 - [c46]Adis Alihodzic, Damir Hasanspahic, Eva Tuba, Milan Tuba:
Application of Adjusted Differential Evolution in Optimal Sensor Placement for Interior Coverage. ICICT (1) 2021: 155-163 - [c45]Ira Tuba, Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Performance Analysis of the Fireworks Algorithm Versions. ICSI (1) 2021: 415-422 - 2020
- [j3]Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger, Milan Tuba:
Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics. Algorithms 13(3): 67 (2020) - [j2]Luca Manzoni, Luca Mariot, Eva Tuba:
Balanced crossover operators in Genetic Algorithms. Swarm Evol. Comput. 54: 100646 (2020) - [c44]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Raka Jovanovic, Milan Tuba:
Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm. IJCNN 2020: 1-7 - [c43]Miodrag Zivkovic, Nebojsa Bacanin, Eva Tuba, Ivana Strumberger, Timea Bezdan, Milan Tuba:
Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm. IWCMC 2020: 1176-1181 - [c42]Eva Tuba, Peter Korosec, Tome Eftimov:
In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS 2020: 334-346 - [c41]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Timea Bezdan, Milan Tuba:
Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria. ICSI 2020: 465-475 - [p1]Adis Alihodzic, Eva Tuba, Milan Tuba:
An Improved Extreme Learning Machine Tuning by Flower Pollination Algorithm. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 95-112 - [i2]Luca Manzoni, Luca Mariot, Eva Tuba:
Tip the Balance: Improving Exploration of Balanced Crossover Operators by Adaptive Bias. CoRR abs/2004.11331 (2020)
2010 – 2019
- 2019
- [j1]Ivana Strumberger, Milan Tuba, Nebojsa Bacanin, Eva Tuba:
Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm. J. Sens. Actuator Networks 8(3): 44 (2019) - [c40]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments. CEC 2019: 65-72 - [c39]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients. CEC 2019: 234-241 - [c38]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization. CEC 2019: 2207-2214 - [c37]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Analysis of local binary pattern for emphysema classification in lung CT image. ECAI 2019: 1-5 - [c36]Luca Manzoni, Luca Mariot, Eva Tuba:
Does constraining the search space of GA always help?: the case of balanced crossover operators. GECCO (Companion) 2019: 151-152 - [c35]Nebojsa Bacanin, Eva Tuba, Miodrag Zivkovic, Ivana Strumberger, Milan Tuba:
Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization. HIS 2019: 328-338 - [c34]Nebojsa Bacanin, Eva Tuba, Timea Bezdan, Ivana Strumberger, Milan Tuba:
Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment. IDEAL (1) 2019: 437-445 - [c33]Ivana Strumberger, Eva Tuba, Miodrag Zivkovic, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Dynamic Search Tree Growth Algorithm for Global Optimization. DoCEIS 2019: 143-153 - [c32]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework. IJCNN 2019: 1-8 - [c31]Eva Tuba, Raka Jovanovic, Dejan Zivkovic, Marko Beko, Milan Tuba:
Clustering Algorithm Optimized by Brain Storm Optimization for Digital Image Segmentation. ISDFS 2019: 1-6 - [c30]Eva Tuba, Ivana Strumberger, Timea Bezdan, Nebojsa Bacanin, Milan Tuba:
Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine. ITQM 2019: 307-315 - [c29]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling. SEMCCO/FANCCO 2019: 201-212 - [c28]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Acute Lymphoblastic Leukemia Cell Detection in Microscopic Digital Images Based on Shape and Texture Features. ICSI (2) 2019: 142-151 - [i1]Luca Manzoni, Luca Mariot, Eva Tuba:
Balanced Crossover Operators in Genetic Algorithms. CoRR abs/1904.10494 (2019) - 2018
- [c27]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem. CEC 2018: 1-8 - [c26]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Bare Bones Fireworks Algorithm for the RFID Network Planning Problem. CEC 2018: 1-8 - [c25]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm. CEC 2018: 1-8 - [c24]Eva Tuba, Edin Dolicanin, Milan Tuba:
Water Cycle Algorithm for Robot Path Planning. ECAI 2018: 1-6 - [c23]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified and Hybridized Monarch Butterfly Algorithms for Multi-Objective Optimization. HIS 2018: 449-458 - [c22]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning. ICMCS 2018: 1-6 - [c21]Eva Tuba, Ivana Strumberger, Dejan Zivkovic, Nebojsa Bacanin, Milan Tuba:
Rigid Image Registration by Bare Bones Fireworks Algorithm. ICMCS 2018: 1-6 - [c20]Eva Tuba, Raka Jovanovic, Marko Beko, Antonio J. Tallón-Ballesteros, Milan Tuba:
Bare Bones Fireworks Algorithm for Medical Image Compression. IDEAL (2) 2018: 262-270 - [c19]Adis Alihodzic, Eva Tuba, Dana Simian, Viktor Tuba, Milan Tuba:
Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm. IJCNN 2018: 1-8 - [c18]Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba:
Wireless Sensor Network Localization Problem by Hybridized Moth Search Algorithm. IWCMC 2018: 316-321 - [c17]Eva Tuba, Dana Simian, Edin Dolicanin, Raka Jovanovic, Milan Tuba:
Energy Efficient Sink Placement in Wireless Sensor Networks by Brain Storm Optimization Algorithm. IWCMC 2018: 718-723 - [c16]Eva Tuba, Ivana Strumberger, Ira Tuba, Nebojsa Bacanin, Milan Tuba:
Water Cycle Algorithm for Solving Continuous P-Median Problem. SACI 2018: 351-354 - [c15]Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Milan Tuba:
Bare Bones Fireworks Algorithm for Capacitated p-Median Problem. ICSI (1) 2018: 283-291 - [c14]Eva Tuba, Raka Jovanovic, Romana Capor-Hrosik, Adis Alihodzic, Milan Tuba:
Web Intelligence Data Clustering by Bare Bone Fireworks Algorithm Combined with K-Means. WIMS 2018: 7:1-7:8 - 2017
- [c13]Eva Tuba, Zorica Stanimirovic:
Elephant herding optimization algorithm for support vector machine parameters tuning. ECAI 2017: 1-4 - [c12]Adis Alihodzic, Eva Tuba, Milan Tuba:
An upgraded bat algorithm for tuning extreme learning machines for data classification. GECCO (Companion) 2017: 125-126 - [c11]Eva Tuba, Romana Capor-Hrosik, Adis Alihodzic, Milan Tuba:
Drone Placement for Optimal Coverage by Brain Storm Optimization Algorithm. HIS 2017: 167-176 - [c10]Eva Tuba, Edin Dolicanin, Milan Tuba:
Chaotic Brain Storm Optimization Algorithm. IDEAL 2017: 551-559 - [c9]Eva Tuba, Milan Tuba, Raka Jovanovic:
An algorithm for automated segmentation for bleeding detection in endoscopic images. IJCNN 2017: 4579-4586 - [c8]Eva Tuba, Ivana Ribic, Romana Capor-Hrosik, Milan Tuba:
Support Vector Machine Optimized by Elephant Herding Algorithm for Erythemato-Squamous Diseases Detection. ITQM 2017: 916-923 - [c7]Eva Tuba, Milan Tuba, Dana Simian, Raka Jovanovic:
JPEG Quantization Table Optimization by Guided Fireworks Algorithm. IWCIA 2017: 294-307 - [c6]Eva Tuba, Edin Dolicanin, Milan Tuba:
Guided Fireworks Algorithm Applied to the Maximal Covering Location Problem. ICSI (1) 2017: 501-508 - 2016
- [c5]Eva Tuba, Milan Tuba, Dana Simian:
Adjusted bat algorithm for tuning of support vector machine parameters. CEC 2016: 2225-2232 - [c4]Eva Tuba, Milan Tuba, Marko Beko:
Node localization in ad hoc wireless sensor networks using fireworks algorithm. ICMCS 2016: 223-229 - [c3]Eva Tuba, Milan Tuba, Dana Simian:
Wireless sensor network coverage problem using modified fireworks algorithm. IWCMC 2016: 696-701 - [c2]Eva Tuba, Milan Tuba, Dana Simian:
Range Based Wireless Sensor Node Localization Using Bat Algorithm. PE-WASUN@MSWiM 2016: 41-44 - [c1]Eva Tuba, Milan Tuba, Marko Beko:
Support Vector Machine Parameters Optimization by Enhanced Fireworks Algorithm. ICSI (1) 2016: 526-534
Coauthor Index
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last updated on 2024-08-05 21:17 CEST by the dblp team
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