Publications

M. Saddique, K. Asghar, U. I. Bajwa, M. Hussain, H. A. Aboalsamh and Z. Habib, Classification of Authentic and Tampered Video Using Motion Residual and Parasitic Layers, in IEEE Access, vol. 8, pp. 56782-56797, 2020.
Malyshev, A., Noreika, A. (2023). Numerical Method for 3D Quantification of Glenoid Bone Loss. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 10476. Springer, Cham.
Alexander Malyshev, 2020. Depth Map Estimation with Consistent Normals from Stereo Images. Lecture Notes in Computer Sciences 12141: 553-565.
Malyshev, A. (2020). Dual Formulation of the TV-Stokes Denoising Model for Multidimensional Vectorial Images. In: Krzhizhanovskaya, V.V., et al. Computational Science – ICCS 2020. ICCS 2020. Lecture Notes in Computer Science(), vol 12141. Springer, Cham.
Mumtaz, A., Sargano, A.B. & Habib, Z. Robust learning for real-world anomalies in surveillance videos. Multimed Tools Appl 82, 20303–20322 (2023).
Aqib Mumtaz, Allah Bux Sargano, Zulfiqar Habib, Fast Learning Through Deep Multi-Net CNN Model For Violence Recognition In Video Surveillance, The Computer Journal, Volume 65, Issue 3, March 2022, Pages 457–472.
Akemi Gálvez, Eneko Osaba, Javier Del Ser, Andres Iglesias: Bat algorithm for kernel computation in fractal image reconstruction. Proceedings of International Conference on Computational Science, ICCS 2019, Faro (Portugal). Lecture Notes in Computer Science, Vol. 11538, pp. 381-394 (2019).
Gálvez, A., Iglesias, A., Osaba, E. and Ser, J.D., 2020, June. Parametric learning of associative functional networks through a modified memetic self-adaptive firefly algorithm. In International Conference on Computational Science (pp. 566-579). Springer, Cham.
E. Osaba, J. Del Ser, X. Jubeto, A. Iglesias, I. Fister Jr, A. Gálvez, I. Fister: Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 79-91). Springer, Cham.
A. Gálvez, I. Fister, I. Fister Jr., A. Iglesias (2022): Image reconstruction of colored bitmap fractal images through bat algorithm and color-based image clustering. In: Sanjurjo González H., Pastor López I., García Bringas P., Quintián H., Corchado E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401 (pp. 222-232). Springer, Cham.
A. Gálvez, I. Fister, A. Iglesias, I. Fister Jr, V. Gómez-Jauregui, C. Manchado, C. Otero (2022): IFS-Based Image Reconstruction of Binary Images with Functional Networks. Mathematics, 10 (7), Paper 1107.
Vei S Chan, Andrés Iglesias, Habibollah Haron, Pedro J Prada, Samuel Ruiz, Akemi Gálvez, Lihua You, Faezah M Salleh, Farhan Mohamed: Virtual reality prototype of a linear accelerator simulator for oncological radiotherapy training. International Conference on Computational Science, Lecture Notes in Computer Science, vol. 13352, pp. 676-689 (2022).
Zaiping Zhu, Andres Iglesias, Lihua You, Jian Jun Zhang: A review of 3D point clouds parameterization methods. International Conference on Computational Science, Lecture Notes in Computer Science, vol. 13352, pp. 690-703 (2022).
S. Pérez-Carabaza, A. Gálvez, A. Iglesias: Rank-Based Ant System with Originality Reinforcement and Pheromone Smoothing. Applied Sciences Vol. 12,Issue 21, Paper 11219 (2022).
V.S. Chan, F.B. Mohamed, F.M. Salleh, A. Iglesias, A.B. Wagiran, A.B. Selamat: MyDNAmark. org: A Comprehensive Genomic Visualisation Database for Malaysian Species. In: IEEE International Conference on Computing, ICOCO 2002. IEEE Computer Society Press, pp. 226-231 (2022).
Shuangbu Wang, Yu Xia, Lihua You, Jianjun Zhang. PDE-based surface reconstruction in automotive styling design. Multimedia Tools and Applications, vol. 82, pp. 1185-1202 (2023).
N.A. Jamaludin, F. Mohamed, V.S. Chan, M.S. Sunar, A. Selamat, O. Krejcar, A. Iglesias: Answering Why and When?: A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics. Journal of Cases on Information Technology, Vol. 25, Issue 1, pp. 1-29 (2023).
I. Fister, A. Iglesias, A. Galvez, I. Fister Jr: Online numerical association rule miner. Neurocomputing vol. 523, pp. 33-43 (2023).
A. Galvez, I. Fister, S. Deb, I. Fister Jr, A. Iglesias: Cuckoo Search Algorithm with Lévy Flights for Surface Reconstruction from Point Clouds with Applications to Reverse Engineering. In: Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, ISMSI 2023. ACM Press, pp. 95-102 (2023).
O. Li, H. Fu, S. Bian, X. Yang, X. Jin, A. Iglesias, A. Noreika, L. You, J.J. Zhang: Character Modelling with Sketches and ODE-Based Shape Creation. Numerical Mathematics: Theory Methods and Applications, vol. 16, Issue 3, pp. 720-751 (2023).
A. Iglesias, A. Gálvez: Genetic Algorithm Applications for Challenging Real-World Problems: Some Recent Advances and Future Trends. In: Applied Genetic Algorithm and Its Variants: Case Studies and New and New Developments. Springer Tracts in Nature-Inspired Computing, pp. 21-50 (2023).
A. Gálvez, A. Iglesias, S. Pérez-Carabaza: Firefly Algorithm for Shape Reconstruction of 3D Point Clouds with Normal and Gamma Univariate Functions. In: 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023. IEEE Computer Society Press, pp. 1-8 (2023).
A. Gálvez, I. Fister Jr, L. You, I. Fister, A. Iglesias: Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps. International Conference on Computational Science, Springer Lecture Notes in Computer Science, vol. 10476, pp. 297-310 (2023).
A. Iglesias, A. Gálvez, P. Suárez: The Role of Artificial Intelligence and Machine Learning for the Fight Against COVID-19. In: Mathematical Modeling and Intelligent Control for Combating Pandemics. Springer Optimization and Its Applications series,vol. 203, pp. 111-128 (2023).
S. Pérez-Carabaza, A. Gálvez, A. Iglesias: Extended Rank-Based Ant Colony Optimization Algorithm for Traveling Salesman Problem. International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2023. Springer Lecture Notes in Networks and Systems, vol. 749, pp. 13-23 (2023).
I. Fister Jr, I. Fister, A. Galvez, A. Iglesias: TinyNARM: Simplifying Numerical Association Rule Mining for Running on Microcontrollers. International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2023. Springer Lecture Notes in Networks and Systems, vol. 749, pp. 122-131 (2023).
I. Fister, A. Iglesias, A. Galvez, D. Fister, I. Fister Jr: Design and implementation of parallel self-adaptive differential evolution for global optimization. Logic Journal of the IGPL, vol. 31, Issue 4, pp. 701-721 (2023).
A. Gálvez, A. Iglesias, I. Fister, I. Fister Jr.: Industrial Artificial Intelligence Approach for Shape Reconstruction in Quality Assessment of Digital Data from Manufactured Workpieces. In: 4th International conference on Industrial Engineering and Artificial Intelligence, IEAI 2023. IEEE Computer Society Press (2023).
V. S. Chan, A. Iglesias, F. Mohamed, F. M. Salleh, H. Haron, N. A. Jamaludin, A. Gálvez, P. J. Prada, S. Ruiz, L. You: User Interaction Development for Radiotherapy Virtual Reality Training Application. In: IEEE International Conference on Computing, ICOCO 2023, Langkawi Island, Malaysia. IEEE Computer Society Press (2023).
S. Pérez-Carabaza, A. Gálvez, A. Iglesias: Advancements in Rank-based Ant System: Enhancements for Improved Solution Quality in Combinatorial Optimization. In: Applications of Ant Colony Optimization and its Variants Case Studies and New Developments. Springer Tracts in Nature-Inspired Computing (2024).
A. Gálvez, I. Fister, S. Deb, I. Fister Jr., A. Iglesias: Hybrid GA-PSO Method with Local Search and Image Clustering for Automatic IFS Image Reconstruction of Fractal Colored Images. Neural Computing and Applications (accepted, in press).
I. Fister, J. Brest, A. Iglesias, A. Galvez, S. Deb and I. Fister, “On Selection of a Benchmark by Determining the Algorithms’ Qualities,” in IEEE Access, vol. 9, pp. 51166-51178, 2021
Fister I., Iglesias A., Galvez A., Fister I. (2022) Toward Reusing the Numerical Association Rule Mining Models. In: Sanjurjo González H., Pastor López I., García Bringas P., Quintián H., Corchado E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham.
Campuzano A., Iglesias A., Gálvez A. (2021) Formal Cognitive Modeling of Swarm Intelligence for Decision-Making Optimization Problems. In: Osaba E., Yang XS. (eds) Applied Optimization and Swarm Intelligence. Springer Tracts in Nature-Inspired Computing. Springer, Singapore.
Moustafa N., Iglesias A., Gálvez A. (2021) A Hardware Architecture and Physical Prototype for General-Purpose Swarm Minirobotics: Proteus II. In: Osaba E., Yang XS. (eds) Applied Optimization and Swarm Intelligence. Springer Tracts in Nature-Inspired Computing. Springer, Singapore.
Campuzano A., Iglesias A., Gálvez A. (2021) Cuckoo Search Algorithm for Parametric Data Fitting of Characteristic Curves of the Van der Waals Equation of State. In: Dey N. (eds) Applications of Cuckoo Search Algorithm and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore.
Gálvez A., Fister I., Fister I., Iglesias A. (2021) Functional Networks for Image Segmentation of Cutaneous Lesions with Rational Curves. In: Herrero Á., Cambra C., Urda D., Sedano J., Quintián H., Corchado E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham.
A Iglesias, A Gálvez, P Suárez. Swarm robotics–a case study: bat robotics. Nature-Inspired Computation and Swarm Intelligence, 2020, 273-302.
Osaba, E., Ser, J.D., Yang, X.S., Iglesias, A. and Galvez, A., 2020, June. Coeba: A coevolutionary bat algorithm for discrete evolutionary multitasking. In International conference on computational science (pp. 244-256). Springer, Cham.
Osaba, E., Martinez, A.D., Galvez, A., Iglesias, A. and Ser, J.D., 2020, July. dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (pp. 1690-1696).
Galvez, A., Iglesias, A., Osaba, E. and Del Ser, J., 2020, July. Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images. In 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1195-1200). IEEE.
Gálvez, A., Deb, S., Fister, I. and Iglesias, A., 2021, November. Cuckoo Search Algorithm and K-Means for IFS Reconstruction of Fractal Colored Images. In 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI) (pp. 91-95). IEEE.
Gálvez, A., Iglesias, A., Díaz, J.A., Fister, I., López, J. and Fister Jr, I., 2021. Modified OFS-RDS bat algorithm for IFS encoding of bitmap fractal binary images. Advanced Engineering Informatics, 47, p.101222.
Fister Jr, I., Salcedo-Sanz, S., Iglesias, A., Fister, D., Gálvez, A. and Fister, I., 2021. New Perspectives in the Development of the Artificial Sport Trainer. Applied Sciences, 11(23), p.11452.
Gálvez, A., Iglesias, A., Fister, I., Fister Jr, I., Otero, C. and Díaz, J.A., 2021. NURBS functional network approach for automatic image segmentation of macroscopic medical images in melanoma detection. Journal of Computational Science, 56, p.101481.
Fister, I., Iglesias, A., Galvez, A., Deb, S. and Fister, D., 2021, November. On deploying the Artificial Sport Trainer into practice. In 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI) (pp. 21-26). IEEE.
Fister, I., Iglesias, A., Galvez, A. and Fister, D., 2020, September. Parallel differential evolution with variable population size for global optimization. In International Workshop on Soft Computing Models in Industrial and Environmental Applications (pp. 89-99). Springer, Cham.
Fister Jr, I., Fister, I., Iglesias, A. and Galvez, A., 2021, July. On detecting the novelties in metaphor-based algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 71-72).
Osaba, E., Del Ser, J., Iglesias, A. and Yang, X.S., 2020. Soft computing for swarm robotics: new trends and applications. Journal of Computational Science, 39, p.101049.
Campuzano, A., Iglesias, A. and Gálvez, A., 2020, June. Swarm intelligence approach for rational global approximation of characteristic curves for the Van der Waals equation of state. In International Conference on Computational Science (pp. 604-616). Springer, Cham.
Gaálvez, A., Osaba, E., Iglesias, A., Del Ser, J. and Fister, I., 2020, September. Swarm Intelligence for Automatic Color and Contrast Retrieval of Digital Images of Paintings. In 2020 International Conference on Cyberworlds (CW) (pp. 227-230). IEEE.
Otero, C., López, J., Díaz, A., Manchado, C., Gomez-Jauregui, V., Iglesias, A. and Gálvez, A., 2022. Visual cost of energy facilities: A comprehensive model and case study of offshore wind farms. Landscape and Urban Planning, 220, p.104314.
Fister, I., Fister, D., Iglesias, A., Galvez, A., Osaba, E. and Ser, J.D., 2020, November. Visualization of Numerical Association Rules by Hill Slopes. In International Conference on Intelligent Data Engineering and Automated Learning (pp. 101-111). Springer, Cham.
A. Gálvez, A. Iglesias: Memetic improved cuckoo search algorithm for automatic B-spline border approximation of cutaneous melanoma from macroscopic medical images. Advanced Engineering Informatics, vol. 43, Article 101005 (2020).
I. Fister, A. Iglesias, A. Galvez, J. Del Ser, E. Osaba, I. Fister Jr, M. Perc, M. Slavenic: Novelty search for global optimization. Applied Mathematics and Computation, vol. 347, pp. 865-881 (2019).
P. Suárez, A. Iglesias, A. Gálvez: Make robots be bats: specializing robotic swarms to the Bat algorithm. Swarm and Evolutionary Computation, vol. 44, pp. 113-129 (2019).
E. Osaba, M.N. Bilbao, A. Iglesias, J. Del Ser, A. Gálvez, I. Fister: Dynamic Partitioning of Evolving Graph Streams Using Nature-Inspired Heuristics. Proceedings of International Conference on Computational Science, ICCS 2019, Faro (Portugal). Lecture Notes in Computer Science, Vol. 11538, pp. 367-380 (2019).
A. Gálvez, I. Fister, E. Osaba, I. Fister Jr., J. Del Ser, A. Iglesias: Hybrid modified firefly algorithm for border detection of skin lesions in medical imaging. Proceedings of IEEE Congress on evolutionary Computation, IEEE CEC 2019, Wellington (New Zealand). IEEE Computer Society Press, Vol. 2, pp. 111-118 (2019).
J. Estalayo, J. Del Ser, E. Osaba, M.N. Bilbao, K. Muhammad, A. Gálvez, A. Iglesias: Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms. Proceedings of IEEE Congress on evolutionary Computation, IEEE CEC 2019, Wellington (New Zealand). IEEE Computer Society Press, Vol. 2, pp. 755-761 (2019).
I. Fister, A. Iglesias, A. Gálvez, J. Del Ser, E. Osaba, I. Fister Jr.: Cooperative game concepts in solving global optimization. Proceedings of IEEE Congress on evolutionary Computation, IEEE CEC 2019, Wellington (New Zealand). IEEE Computer Society Press, Vol. 2, pp. 1525-1532 (2019).
A. Gálvez, I. Fister Jr., E. Osaba, I. Fister, J. Del Ser, A. Iglesias: Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm. Proceedings of ACM Genetic and Evolutionary Computation Conference, ACM GECCO 2019, Prague (Czech Republic). ACM Press, pp. 1675-1682 (2019).
E. Osaba, J. Del Ser, A. Panizo, D. Camacho, A. Gálvez, A. Iglesias: Combining Bio-inspired Meta-Heuristics and Novelty Search for Community Detection over Evolving Graph Streams. Proceedings of ACM Genetic and Evolutionary Computation Conference, ACM GECCO 2019, Prague (Czech Republic). ACM Press, pp. 1329-1335 (2019).
I. Fister Jr., A. Gálvez, E. Osaba, J. Del Ser, A. Iglesias, I. Fister: Discovering dependencies among mined association rules with population-based metaheuristics. Proceedings of ACM Genetic and Evolutionary Computation Conference, ACM GECCO 2019, Prague (Czech Republic). ACM Press, pp. 1668-1674 (2019).
R. Sanchez, P. Suárez, A. Gálvez, A. Iglesias: Swarm Intelligence Approach for Parameter Tuning of a Nonlinear River Flood Routing Model. Proceedings of International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2019, Avila (Spain). Communications in Computer and Information Science, Vol. 1047, pp. 276-286 (2019).
I. Fister Jr., D. Fister, A. Iglesias, A. Gálvez, S. Rauter, I. Fister: Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking. Proceedings of International Conference on Swarm Intelligence, ICSI 2019, Chiang Mai (Thailand). Lecture Notes in Computer Science, Vol. 11655, pp. 70-79 (2019).
R. Sanchez, P. Suárez, A. Gálvez, A. Iglesias: Parameter Estimation of a Nonlinear Hydrologic Model for Channel Flood Routing with the Bat Algorithm. Proceedings of International Conference on Swarm Intelligence, ICSI 2019, Chiang Mai (Thailand). Lecture Notes in Computer Science, Vol. 11655, pp. 341-351 (2019).
A. Gálvez, I. Fister, I. Fister Jr., E. Osaba, J. Del Ser, A. Iglesias: Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves. Proceedings of International Conference on Swarm Intelligence, ICSI 2019, Chiang Mai (Thailand). Lecture Notes in Computer Science, Vol. 11655, pp. 320-330 (2019).
A. Campuzano, A. Iglesias, A. Gálvez: Free-Form Parametric Fitting of Van der Waals Binodal and Spinodal Curves with Bat Algorithm. Proceedings of International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019, Ukulhas (The Maldives). IEEE Computer Society Press (2019).
N. Moustafa, A. Iglesias, A. Gálvez: Proteus-I: A Flexible and Adaptable Low-Cost General-Purpose Micro-Robot Prototype for Swarm Robotics. Proceedings of International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019, Ukulhas (The Maldives). IEEE Computer Society Press (2019).
G. Diaz, A. Iglesias: Evolutionary Behavioral Design of Non-Player Characters in a FPS Video Game Through Particle Swarm Optimization. Proceedings of International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019, Ukulhas (The Maldives). IEEE Computer Society Press (2019).
A. Gálvez, A. Iglesias: Modified Bat Algorithm with Local Search for Fractal Image Compression of Bitmap Images. Proceedings of International Conference on Cyberworlds, CYBERWORLDS 2019, Kyoto (Japan). IEEE Computer Society Press, pp. 199-206 (2019).
A. Campuzano, A. Iglesias, A. Gálvez: Applying Firefly Algorithm to Data Fitting for the Van der Waals Equation of State with Bézier Curves. Proceedings of International Conference on Cyberworlds, CYBERWORLDS 2018, Singapore. IEEE Computer Society Press, pp. 211-214 (2019).
A. Iglesias, A. Gálvez, M. Collantes: Cuckoo Search Algorithm with Lévy Flights for Global-Support Parametric Surface Approximation in Reverse Engineering. Symmetry, Vol. 10, Issue 3, Article 58 (2018).
A. Gálvez, A. Iglesias: Improved Cuckoo Search with Luus-Jakoola Heuristics for the IFS Inverse Problem of Binary Self-Similar Fractal Images. Proceedings of International Conference on Artificial Intelligence Applications and Innovations – AIAI’2018, Rhodes (Greece). IFIP Advances in Information and Communication Technology, Vol. 519, pp. 495-506 (2018).
A. Gálvez, A. Iglesias, I. Fister, I. Fister Jr., E. Osaba, J. Del Ser: Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction. Proceedings of International Conference on Hybrid Artificial Intelligence Systems – HAIS’2018, Oviedo (Spain). Lecture Notes in Computer Science, Vol. 10870, pp. 658-670 (2018).
A. Gálvez, A. Iglesias: Modified Memetic Self-Adaptive Firefly Algorithm for 2D Fractal Image Reconstruction. Proceedings of IEEE 42nd Annual Computer Software and Applications Conference, IEEE COMPSAC 2018, Tokyo (Japan). IEEE Computer Society Press, Vol. 2, pp. 165-170 (2018).
P. Suárez, A. Gálvez, I. Fister, I. Fister Jr., E. Osaba, J. Del Ser, A. Iglesias: Interplay of Two Bat Algorithm Robotic Swarms in Non-cooperative Target Point Search. Proceedings of International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2018, Toledo (Spain). Communications in Computer and Information Science, Vol. 887, pp. 543-550 (2018).
A. Gálvez, I. Fister, I. Fister Jr., E. Osaba, J. Del Ser, A. Iglesias: Automatic Fitting of Feature Points for Border Detection of Skin Lesions in Medical Images with Bat Algorithm. Proceedings of International Symposium on Intelligent and Distributed Computing, IDC 2018, Bilbao (Spain). Studies in Computational Intelligence, Vol. 798, pp. 357-368 (2018).
N. Moustafa, A. Gálvez, A. Iglesias: A General-Purpose Hardware Robotic Platform for Swarm Robotics. Proceedings of International Symposium on Intelligent and Distributed Computing, IDC 2018, Bilbao (Spain). Studies in Computational Intelligence, Vol. 798, pp. 259-271 (2018).
L. de la Vega-Hazas, F. Calatayud, A. Iglesias: Applying Evolutionary Computation Operators for Automatic Human Motion Generation in Computer Animation and Video Games. Proceedings of International Symposium on Intelligent and Distributed Computing, IDC 2018, Bilbao (Spain). Studies in Computational Intelligence, Vol. 798, pp. 247-258 (2018).
P. Suarez, A. Gálvez, I. Fister, I. Fister Jr., E. Osaba, J. Del Ser, A. Iglesias: Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode. Proceedings of IDEAL 2018, Madrid (Spain). Lecture Notes in Computer Science, Vol. 11315, pp. 201-209 (2018).
E. Osaba, J. Del Ser, D. Camacho, A. Gálvez, A. Iglesias, I. Fister Jr., I. Fister: Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics. Proceedings of IDEAL 2018, Madrid (Spain). Lecture Notes in Computer Science, Vol. 11315, pp. 325-335 (2018).
A. Galvez, A. Iglesias: Computational Intelligence CSA-Based Approach for Machine-Driven Calculation of Outline Curves of Cutaneous Melanoma. Proceedings of International Conference on Cyberworlds, CYBERWORLDS 2018, Singapore. IEEE Computer Society Press, pp. 270-275 (2018).
F. Calatayud, L. de la Vega-Hazas, A. Iglesias: Force-Based Evolutionary Computation Approach for Automatic Skeletal Motion Learning in Human Animation. Proceedings of International Conference on Cyberworlds, CYBERWORLDS 2018, Singapore. IEEE Computer Society Press, pp. 250-257 (2018).
Levent, A., Sahin, B. and Habib, Z., 2018. Spiral transitions. Applied Mathematics-A Journal of Chinese Universities, 33(4), pp.468-490
Gálvez, A., Iglesias, A., Ugail, H., You, L., Haron, H. and Habib, Z., 2019, August. Firefly algorithm approach for rational Bézier border reconstruction of skin lesions from macroscopic medical images. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) (pp. 1-8). IEEE.
Ugail, H. and Al-dahoud, A., 2019. A genuine smile is indeed in the eyes–The computer aided non-invasive analysis of the exact weight distribution of human smiles across the face. Advanced Engineering Informatics, 42, p.100967.
Elmahmudi, A. and Ugail, H., 2019. Deep face recognition using imperfect facial data. Future Generation Computer Systems, 99, pp.213-225.
Aggarwal, R. and Ugail, H., 2019, August. On the solution of poisson’s equation using deep learning. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) (pp. 1-8). IEEE.
Ugail, H., Alzorgani, M., Bukar, A., Hussain, H., Burn, C., Sein, T.M. and Betmouni, S., 2019, August. A Deep Learning Approach to Tumour Identification in Fresh Frozen Tissues. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) (pp. 1-6). IEEE.
Elmahmudi, A. and Ugail, H., 2019. The biharmonic eigenface. Signal, Image and Video Processing, 13(8), pp.1639-1647.
Ashraf, M.N., Hussain, M. and Habib, Z., 2022. Deep Red Lesion Classification for Early Screening of Diabetic Retinopathy. Mathematics, 10(5), p.686.
Akhtar, N., Saddique, M., Asghar, K., Bajwa, U.I., Hussain, M. and Habib, Z., 2022. Digital Video Tampering Detection and Localization: Review, Representations, Challenges and Algorithm. Mathematics, 10(2), p.168.
Raza, R., Zulfiqar, F., Tariq, S., Anwar, G.B., Sargano, A.B. and Habib, Z., 2021. Melanoma Classification from Dermoscopy Images Using Ensemble of Convolutional Neural Networks. Mathematics, 10(1), p.26.
Khan, A., Sargano, A.B. and Habib, Z., 2021. DSTnet: Deformable Spatio-Temporal Convolutional Residual Network for Video Super-Resolution. Mathematics, 9(22), p.2873.
Tahir, R., Sargano, A.B. and Habib, Z., 2021. Voxel-Based 3D Object Reconstruction from Single 2D Image Using Variational Autoencoders. Mathematics, 9(18), p.2288.
Noor, S., Hasham, M., Habib, Z. and Saragano, A.B., 2019, December. Real-time Rehabilitation and Fitness System using Depth Sensor. In 2019 International Conference on Frontiers of Information Technology (FIT) (pp. 215-2155). IEEE.
Asghar, K., Sun, X., Rosin, P.L., Saddique, M., Hussain, M. and Habib, Z., 2019. Edge–texture feature-based image forgery detection with cross-dataset evaluation. Machine Vision and Applications, 30(7), pp.1243-1262.
Saddique, M., Asghar, K., Bajwa, U.I., Hussain, M. and Habib, Z., 2019. Spatial video forgery detection and localization using texture analysis of consecutive frames. Advances in Electrical and Computer Engineering, 19(3), pp.97-108.
Shoukat, M.A., Sargano, A.B., Habib, Z. and You, L., 2018, December. Automatic Depth Estimation from Single 2D Image via Transfer Learning Approach. In 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS) (pp. 589-594). IEEE.
Mumtaz, A., Sargano, A.B. and Habib, Z., 2018, December. Violence detection in surveillance videos with deep network using transfer learning. In 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS) (pp. 558-563). IEEE.
Zhu, Z., Zheng, A., Iglesias, A., Wang, S., Xia, Y., Chaudhry, E., You, L. and Zhang, J., 2022. PDE patch-based surface reconstruction from point clouds. Journal of Computational Science, p.101647.
Fang, J., Chaudhry, E., Iglesias, A., Macey, J., You, L. and Zhang, J.J., 2022. Reconstructing Dynamic 3D Models with Small Data by Integrating Position-Based Dynamics and PDE-Based Modelling. Mathematics, 10(5), p.821.
Wang, S., Xia, Y., You, L., Ugail, H., Carriazo, A., Iglesias, A. and Zhang, J., 2022. Interactive PDE patch-based surface modeling from vertex-frames. Engineering with Computers, pp.1-19.
Fu, H., Bian, S., Li, O., Macey, J., Iglesias, A., Chaudhry, E., You, L. and Zhang, J.J., 2022. 3D Modelling with C2 Continuous PDE Surface Patches. Mathematics, 10 (3).
Zhu, Z., Iglesias, A., Zhou, L., You, L. and Zhang, J., 2022. PDE-Based 3D Surface Reconstruction from Multi-View 2D Images. Mathematics, 10 (4).
Wang, S., Wang, R., Xia, Y., Sun, Z., You, L. and Zhang, J., 2021. Multi-objective aerodynamic optimization of high-speed train heads based on the PDE parametric modeling. Structural and Multidisciplinary Optimization, 64 (3), 1285-1304.
Zheng, A., Zhu, Z., Bian, S., Chang, J., Haron, H., Iglesias, A., You, L. and Zhang, J., 2021. Article optimized unidirectional and bidirectional stiffened objects for minimum material consumption of 3d printing. Mathematics, 9 (21).
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