- Thomas Villmann, Alexander Engelsberger, Jensun Ravichandran, Andrea Villmann, Marika Kaden:
Quantum-inspired learning vector quantizers for prototype-based classification. Neural Comput. Appl. 34(1): 79-88 (2022) - Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanovic, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulic, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-lan Yeung, Somayeh Zand, Iris Lav Zezelj, Bang Zheng, Andreas Zick, Claudia Zuniga, Jocelyn J. Bélanger:
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic. Patterns 3(4): 100482 (2022) - Hélène Cecilia, Roosmarie Vriens, Paul J. Wichgers Schreur, Mariken M. de Wit, Raphaëlle Métras, Pauline Ezanno, Quirine A. ten Bosch:
Heterogeneity of Rift Valley fever virus transmission potential across livestock hosts, quantified through a model-based analysis of host viral load and vector infection. PLoS Comput. Biol. 18(7) (2022) - Lydia Velázquez-García, Antonio Cedillo-Hernandez, Manuel Cedillo-Hernandez, Mariko Nakano-Miyatake, Héctor Pérez-Meana:
Imperceptible-visible watermarking for copyright protection of digital videos based on temporal codes. Signal Process. Image Commun. 102: 116593 (2022) - Marika D'Agostini, Simone Venturi, Edoardo Vigo:
Smart Urban Waste Management System: The Case Study of Delft, Netherlands. ASITA 2022: 178-192 - Marko Sahan, Václav Smídl, Radek Marik:
Batch Active Learning for Text Classification and Sentiment Analysis. CCRIS 2022: 111-116 - Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia:
Universally Composable End-to-End Secure Messaging. CRYPTO (2) 2022: 3-33 - Katrin Sophie Bohnsack, Marika Kaden, Julius Voigt, Thomas Villmann:
Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features. ESANN 2022 - Danny Möbius, Jensun Ravichandran, Marika Kaden, Thomas Villmann:
Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models. ICONIP (2) 2022: 379-390 - Thomas Villmann, Daniel Staps, Jensun Ravichandran, Sascha Saralajew, Michael Biehl, Marika Kaden:
A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation. IDA 2022: 354-364 - Daniel Staps, Ronny Schubert, Marika Kaden, Alexander Lampe, Wieland Hermann, Thomas Villmann:
Prototype-based One-Class-Classification Learning Using Local Representations. IJCNN 2022: 1-8 - Zsuzsa Pluhár, Heidi Kaarto, Marika Parviainen, Sonia Garcha, Vipul Shah, Valentina Dagiene, Mikko-Jussi Laakso:
Bebras Challenge in a Learning Analytics Enriched Environment: Hungarian and Indian Cases. ISSEP 2022: 40-53 - Ved P. Kafle, Mariko Sekiguchi, Hitoshi Asaeda, Hiroaki Harai:
Integrated Network Control Architecture for Terrestrial and Non-Terrestrial Network Convergence In Beyond 5G Systems. ITU K 2022: 1-9 - Marika Janka, Johanna Kujala, Terhi Helminen, Anneli Kylliäinen, Johanna Virkki:
Development, fabrication and evaluation of textile electrodes for EDA measurements. SeGAH 2022: 1-5 - Francesca Daprà, Erica Isa Mosca, Marco Gola, Andrea Rebecchi, Maddalena Buffoli, Marika Fior, Maria Pilar Vettori, Stefano Capolongo:
Communities, Sport, Inclusion. Strategies for Parish Complexes Social Reactivation Through Sport Practice Promotion. UD 2022: 209-217 - Ales Procházka, Tatjana Dostálová, Oldrich Vysata, Pavel Cejnar, Vladimír Marík, Hana Eliásová:
Craniometric Points Measurement. IEEE DataPort, 2022 - Aloni Cohen, Adam D. Smith, Marika Swanberg, Prashant Nalini Vasudevan:
Control, Confidentiality, and the Right to be Forgotten. CoRR abs/2210.07876 (2022) - Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia:
Universally Composable End-to-End Secure Messaging. IACR Cryptol. ePrint Arch. 2022: 376 (2022) - 2021
- Chinmay Shah, Jesus D. Vasquez-Plaza, Daniel D. Campo-Ossa, Juan F. Patarroyo-Montenegro, Nischal Guruwacharya, Niranjan Bhujel, Rodrigo D. Trevizan, Fabio Andrade-Rengifo, Mariko Shirazi, Reinaldo Tonkoski, Richard W. Wies, Timothy M. Hansen, Phylicia Cicilio:
Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems. IEEE Access 9: 82094-82117 (2021) - Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Sascha Saralajew, Thomas Villmann:
The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers. Entropy 23(10): 1357 (2021) - Mario Gonzalez-Lee, Hector Vazquez-Leal, Luis J. Morales-Mendoza, Mariko Nakano-Miyatake, Héctor Pérez-Meana, Juan Rodrigo Laguna Camacho:
Statistical Assessment of Discrimination Capabilities of a Fractional Calculus Based Image Watermarking System for Gaussian Watermarks. Entropy 23(2): 255 (2021) - Kaisa Jaalama, Heikki Kauhanen, Aino Keitaanniemi, Toni Rantanen, Juho-Pekka Virtanen, Arttu Julin, Matti Vaaja, Matias Ingman, Marika Ahlavuo, Hannu Hyyppä:
3D Point Cloud Data in Conveying Information for Local Green Factor Assessment. ISPRS Int. J. Geo Inf. 10(11): 762 (2021) - Luis Garcia, Giovanny Sánchez, Eduardo Vazquez, Juan-Gerardo Ávalos, Esteban Anides, Mariko Nakano, Gabriel Sanchez, Héctor Pérez:
Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback. Neural Networks 138: 126-139 (2021) - Feryel Zoghlami, Marika Kaden, Thomas Villmann, Germar Schneider, Harald Heinrich:
AI-Based Multi Sensor Fusion for Smart Decision Making: A Bi-Functional System for Single Sensor Evaluation in a Classification Task. Sensors 21(13): 4405 (2021) - Ales Procházka, Oldrich Vysata, Vladimír Marík:
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools. IEEE Signal Process. Mag. 38(3): 154-162 (2021) - Elizaveta A. Konstantinova, Vladimir Zaitsev, Artem Marikutsa, Alexander Ilin:
Comparative Study: Catalytic Activity and Rhodamine Dye Luminescence at the Surface of TiO2-Based Nanoheterostructures. Symmetry 13(9): 1758 (2021) - Petr Kadera, Václav Jirkovský, Vladimír Marík:
Revival of MAS Technologies in Industry. Trans. Large Scale Data Knowl. Centered Syst. 48: 131-144 (2021) - Vladislav Belov, Radek Marik:
Tessellation-based Kernel Density Estimation. ACAI 2021: 36:1-36:6 - Zhiqiang Que, Erwei Wang, Umar Marikar, Eric A. Moreno, Jennifer Ngadiuba, Hamza Javed, Bartlomiej Borzyszkowski, Thea Aarrestad, Vladimir Loncar, Sioni Summers, Maurizio Pierini, Peter Y. K. Cheung, Wayne Luk:
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments. ASAP 2021: 117-124 - Vladislav Belov, Radek Marik:
Manifold Learning Projection Quality Quantitative Evaluation. CIIS 2021: 77-86