Публикации

• Khamisov O.O., Khamisov O.V., Ganchev T.D., Semenkin E.S. A Method for Transforming Non-Convex Optimization Problem to Distributed Form. Mathematics. 2024; 12(17):2796. https://doi.org/10.3390/math12172796
• Markova V, Ganchev T, Filkova S, Markov M. (2024). MMD-MSD: A Multimodal Multisensory Dataset in Support of Research and Technology Development for Musculoskeletal Disorders. Algorithms. 2024; 17(5):187. DOI: https://doi.org/10.3390/a17050187
• Ventura T.M., Ganchev T.D., Pérez-Granados C., de Oliveira A.G., Pedroso G.S.G., Marques M.I., Schuchmann K.-L. (2024). The importance of acoustic background modelling in CNN-based detection of the Neotropical White-lored Spinetail (Aves, Passeriformes, Furnaridae). Bioacoustics (TBIO), DOI: https://doi.org/10.1080/09524622.2024.2309362
• Markov M., Kalinin Y., Markova V., Ganchev T. (2023). Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems, MDPI Electronics. 2023 vol.12, no.18, 3852 https://doi.org/10.3390/electronics12183852
• Zhou L., Nandal A., Ganchev T., Dhaka A. (2022). Breast Cancer Detection by Fusion of Deep Features with CNN Extracted Features, International Journal of Intelligent Systems Technologies and Applications, ISSN: 1740-8865, 2022. Inderscience Enterprises Ltd, Switzerland. (Scopus Q2)
• Ganchev T., Markova V., Valcheva-Georgieva I., Dobrev I. (2022). Assessment of pollution with heavy metals and petroleum products in the sediments of Varna Lake, Review of the Bulgarian Geological Society, vol. 83, part 2, 2022, p. 3–9.
• Feradov F., Markova V., Ganchev T. (2022). Automated Detection of Improper Sitting Postures in Computer Users Based on Motion Capture Sensors, MDPI Computers, 11 (7), art. no. 116. (2022), DOI: 10.3390/computers11070116 (Scopus Q2; WoS Q3)
• V. Markova, M. Markov, T. Ganchev, K. Kalinkov (2022). "An Automated Identification of Mental Workload in a Person- Independent Setup", International Journal of Electrical, Electronics, and Data Communication (IJEEDC), Vol.10, Issue 9, pp. 30-38.
• М. Markov, T. Ganchev (2022). "Intelligent Human-Machine Interface Framework", International Journal of Electrical, Electronics, and Data Communication (IJEEDC), Vol.9, Issue 9, pp. 41-46.
• Markova V., Ganchev T., Kalinkov K., Markov M. (2021). Detection of acute stress caused by cognitive tasks based on physiological signals, Bulletin of Electrical Engineering and Informatics, vol.10, no.5, pp.   2539-2547, DOI: 10.11591/eei.v10i5.3130
• Feradov F., Mporas I., Ganchev T. (2020). Evaluation of features in detection of dislike responses to audio–visual stimuli from EEG signals. MDPI Computers, 9 (2), art. no. 33. DOI: 10.3390/computers9020033, SCOPUS SJR= 0.404 (Scopus Q2; WoS Q3)
• de Oliveira, A.G., Ventura, T.M., Ganchev, T.D., Silva, L.N.S., Marques, M.I., Schuchmann, K.-L. (2020). Speeding up training of automated bird recognizers by data reduction of audio features, PeerJ, 2020 (1), art. no. e8407, DOI: 10.7717/peerj.8407, Thompson Reuters IF=2.984
• Pérez-Granados C., K.-L. Schuchmann, T. Ganchev, C. Strüssmann, T. Figueras Dorado-Rodrigues, A. S. de Oliveira Tissiani, F. Ferreira de Deus, M. I. Marques (2020). Elucidating the diel and seasonal calling behaviour of Elachistocleis matogrosso (Anura: Microhylidae), Journal of Natural History, 53:43-44, 2699-2710, DOI: 10.1080/00222933.2020.1728409, Thompson Reuters IF=1.016
• Dukov N.T., Ganchev T.D., Vrahatis M.N. (2019). Evaluation of PNN pattern-layer activation function approximations in different training setups, International Journal of Speech Technology, Volume 22, Issue 4, 1 December 2019, pp. 1039-1049, SCOPUS SJR=0.203
• Feradov F, Ganchev T (2023). Compact EEG Features for Person Identification. Proceedings of the 2023 International Conference Automatics and Informatics (ICAI-2023), Varna, Bulgaria, 2023, pp. 152-155, doi: 10.1109/ICAI58806.2023.10339041.
• Ganchev T, Markova V, Valcheva-Georgieva I, Dobrev I. (2023). Pollution of Varna Lake and pos-sibilities of using the pollutants as resources. Proc. of the E3S Web of Conferences, vol. 404, pages. 03002. EDP Sciences. 2023.   https://doi.org/10.1051/e3sconf/202340403002
• Feradov F., Ganchev T., Markova V., Kalcheva N. (2022). "EMD-based Features for Cognitive Load and Stress Assessment from PPG Signals," 2021 International Conference on Biomedical Innova-tions and Applications (BIA), Varna, Bulgaria, 2022, pp. 62-65, doi: 10.1109/BIA52594.2022.9831344.
• M Markov, Y Kalinin, T Ganchev (2022). A Task-related Adaptation in Intelligent Human-Machine Interfaces. Proc, of the 2022 International Conference on Communications, Information, Electronic and Energy Systems (CIEES-2022). pp.1-4. IEEE.  
• Markov M., Ganchev T. (2021). A Concept of a New Knowledge Based Multimodal Affective Tu-toring System, Proceedings of the 29th National Conference with International Participation, TELE-COM 2021, pp. 157-160, DOI: 10.1109/TELECOM53156.2021.9659684, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124565590&doi=10.1109%2fTELECOM53156.2021....      
• Markova V., Ganchev T., Markov M. (2021). Automated Annotation of Valence and Arousal During Cognitive Activity, Lecture Notes in Computer Science, vol. 12940 LNCS, pp. 53-62, DOI: 10.1007/978-3-030-88163-4_5, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118174197&doi=10.1007%2f978-3-030-88163-4_...      
• Markova V., Ganchev T., Pencheva E., Atanasov I. (2021). Intelligent Architecture for Real-time Personal Health Monitoring in the Context of 3G/4G/5G Networks, Proceedings 29th National Con-ference with International Participation, TELECOM 2021, pp. 53-56, DOI: 10.1109/TELECOM53156.2021.9659732, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124541408&doi=10.1109%2fTELECOM53156.2021....  
• Kalinkov K., Markova V., Ganchev T. (2021). The Effect of Acute Stress on the Performance of Students in Engineering Education, Proceedings of the 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2021, paper 9483572, pp. 235-238, DOI: 10.1109/ICEST52640.2021.9483572, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112251622&doi=10.1109%2fICEST52640.2021.94...      
• Markova, V.I., Kalinkov, K.B., Ganchev, T.D. (2020). Improved Peak Detection Algorithm for Pho-toplethysmographic Signals, Proceedings of the 28th National Conference with International Partici-pation, TELECOM 2020, art. no. 9299546, pp. 10-13. DOI: 10.1109/TELECOM50385.2020.9299546, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099470230&doi=10.1109%2fTELECOM50385.2020....
• Feradov, F., Ganchev, T. (2020). Identification of Affective Mental Activity Based on Multichan-nel EEG Signals, Proceedings of the International Conference on Biomedical Innovations and Appli-cations, BIA 2020, art. no. 9244279, pp. 101-104. DOI: 10.1109/BIA50171.2020.9244279, Availa-ble https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096769425&doi=10.1109%2fBIA50171.2020.9244...
• Marinova, G., Ganchev, T., Nikolov, N. (2020). Synthesis of Characteristic Descriptors for the Detection of Distress, Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2020, art. no. 9244488, pp. 73-76. DOI: 10.1109/BIA50171.2020.9244488, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096795901&doi=10.1109%2fBIA50171.2020.9244...
• Kalinkov, K., Markova, V., Ganchev, T. (2020). Heart Rate Variability calculation methods, Pro-ceedings of the International Conference on Biomedical Innovations and Applications, BIA 2020, art. no. 9244285, pp. 97-100. DOI: 10.1109/BIA50171.2020.9244285, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096795834&doi=10.1109%2fBIA50171.2020.9244...
• Ivanov, M., Markova, V., Ganchev, T. (2020). An Overview of Network Architectures and Tech-nology for Wearable Sensor-based Health Monitoring Systems, Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2020, art. no. 9244286, pp. 81-84. DOI: 10.1109/BIA50171.2020.9244286, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096781747&doi=10.1109%2fBIA50171.2020.9244...
• Feradov, F., Ganchev, T., Markova, V. (2020). Automated Detection of Cognitive Load from Peripheral Physiological Signals based on Hjorth's Parameters, Proceedings of the International Con-ference on Biomedical Innovations and Applications, BIA 2020, art. no. 9244287, pp. 85-88. DOI: 10.1109/BIA50171.2020.9244287, Available at: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096760327&doi=10.1109%2fBIA50171.2020.9244...
• Dukov, N., Ganchev, T. (2020). Comparative evaluation of various activation functions in the recurrent neurons of the LRPNN. Geometry, Integrability and Quantization, 21, pp. 127-137. DOI: 10.7546/giq-21-2020-127-137, Avaibale: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104150852&doi=10.7546%2fgiq-21-2020-127-13...
• Deneva, P., Ganchev, T. (2020). GMM-Based parameterization of the characteristic melody of bird vocalizations. Geometry, Integrability and Quantization, 21, pp. 118-126. DOI: 10.7546/giq-21-2020-118-126, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104126809&doi=10.7546%2fgiq-21-2020-118-12...
• Deneva, P., Ganchev, T. (2019). Automatic recognition of the characteristic melody of bird vocal-izations, Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2019, art. no. 8967458. DOI: 10.1109/BIA48344.2019.8967458, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079284856&doi=10.1109%2fBIA48344.2019.8967...
• Markova, V., Ganchev, T., Kalinkov, K. (2019), CLAS: A Database for Cognitive Load, Affect and Stress Recognition, Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2019, art. no. 8967457. DOI: 10.1109/BIA48344.2019.8967457, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079281190&doi=10.1109%2fBIA48344.2019.8967...
• Kalinkov, K., Ganchev, T., Markova, V. (2019). Adaptive Feature Selection through Fisher Dis-criminant Ratio, Proceedings of the International Conference on Biomedical Innovations and Appli-cations, BIA 2019, art. no. 8967450, DOI: 10.1109/BIA48344.2019.8967450, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079274220&doi=10.1109%2fBIA48344.2019.8967...
• Pencheva, E., Markova, V., Atanasov, I., Ganchev, T. (2019). An approach to improve reliability of vital signs monitoring, Proceedings of the International Conference on Biomedical Innovations and Applications, BIA 2019, art. no. 8967467. DOI: 10.1109/BIA48344.2019.8967467, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079273588&doi=10.1109%2fBIA48344.2019.8967...
• Bougou, V., Mporas, I., Schirmer, P., Ganchev, T. (2019). Evaluation of eeg connectivity net-work measures based features in schizophrenia classification, Proceedings of the International Con-ference on Biomedical Innovations and Applications, BIA 2019, art. no. 8967453, DOI: 10.1109/BIA48344.2019.8967453, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079269691&doi=10.1109%2fBIA48344.2019.8967...
• Markova, V.I., Ganchev, T.D. (2019). Technological support for the needs of personalized train-ing, Proceedings of the 29th Annual Conference of the European Association for Education in Elec-trical and Information Engineering, EAEEIE 2019 -, art. no. 9000468. DOI: 10.1109/EAEEIE46886.2019.9000468, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081203446&doi=10.1109%2fEAEEIE46886.2019.9...
• Feradov, F.N., Ganchev, T.D. (2019). Spectral Features of EEG Signals for the Automated Recognition of Negative Emotional States, 2019 28th International Scientific Conference Electron-ics, ET 2019 - Proceedings, art. no. 8878557, DOI: 10.1109/ET.2019.8878557, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074941352&doi=10.1109%2fET.2019.8878557&am...
• Dukov, N.T., Ganchev, T.D. (2019). Comparative evaluation of training schemes for the locally recurrent probabilistic neural network, Proceedings 2019 28th International Scientific Conference Electronics, ET 2019 -, art. no. 8878663, DOI: 10.1109/ET.2019.8878663, Available https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074903510&doi=10.1109%2fET.2019.8878663&am...
• Kalinkov, K., Markova, V., Ganchev, T. (2019). Front-end Processing of Physiological Signals for the Automated Detection of High-arousal Negative Valence Conditions. Proceedings of the 10th National Conference with International Participation, ELECTRONICA 2019, art. no. 8825647, DOI: 10.1109/ELECTRONICA.2019.8825647, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072819033&doi=10.1109%2fELECTRONICA.2019.8...
• Vachinska S., Markova V., Ganchev T. (2022). A Risk Assessment Study on Musculoskeletal Dis-orders in Computer Users Based on A Modified Nordic Musculoskeletal Questionnaire, Lecture Notes in Networks and Systems, vol.374 LNNS, pp.433-444, DOI: 10.1007/978-3-030-96638-6_45, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127022778&doi=10.1007%2f978-3-030-96638-6_...    
• Markova V., Ganchev T. (2022), Technological Support to Musculoskeletal Disorders Assessment and Management, Lecture Notes in Networks and Systems, vol. 374 LNNS, pp. 445-454, DOI: 10.1007/978-3-030-96638-6_46, Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127082183&doi=10.1007%2f978-3-030-96638-6_...  
• A.K. Sharma, A. Nandal, T. Ganchev, A. Dhaka. (2022). “Breast Cancer Classification Using CNN Extracted Features: A Comprehensive Review”, Chapter 8 in the edited volume “Application of Deep Learning Methods in Healthcare and Medical Science”, 1st Ed., Published 2022, Apple Aca-demic Press, eBook ISBN: 9781003303855. Breast Cancer Classification Using CNN Extracted Fea-tures: A Comprehen (taylorfrancis.com)
• T. Ganchev (2020). „Ubiquitous Computing & Biodiversity Monitoring”, Book Chapter 8 in Eds: Amy Neustein, “Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring”, 2020.
• Nandal A., Zhou L., Dhaka A., Ganchev T., F. Nait-Abdesselam (Eds.) (2023). Machine Learning in Medical Imaging and Computer Vision. The IET Publishing, 2024. ISBN: 978-1-83953-593-2, Product code: PBHE0490, pp. 1–362, URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193478280&partnerID=40&md5=28fced5c9b4...
• Kovalev I., Semenkin E., Schwenker F., Shaidurov V., Ganchev T., Škraba A., Stanimirović P., Kolehmainen M., Kronberger G., Affenzeller M., Brester C., Ryzhikov I., Kazakovtsev L., Sopov E., Semenkina M., Akhmedova S., Stanovov V. (Eds.) (2022). Preface to the 2022 CEUR Workshop Pro-ceedings, Vol.3091, 5th International Scientific Workshop on Modeling, Information Processing and Computing, MIP: Computing-V 2022, Krasnoyarsk, 25 January 2022, Code 177343, URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125389695&partnerID=40&md5=d4a06e20d43...
• V. Markova, T. Ganchev (Eds.) (2021). Proceedings of the International Conference on Biomedical Innovations and Applications, (BIA-2021), June 2-4, 2022, IEEE Digital Library, 2022.
• V. Markova, T. Ganchev (Eds.) (2020). Proceedings of the International Conference on Biomedical Innovations and Applications, (BIA-2020), Sept. 24-27, 2020, IEEE Digital Library, 2020.
• V. Markova, T. Ganchev (Eds.) (2019). Proceedings of the International Conference on Biomedical Innovations and Applications, (BIA-2019), Nov. 8-9, 2019, IEEE Digital Library, 2019.