prof. dr. L.R.B. (Lambert) Schomaker

Hoogleraar

Faculteit Science and Engineering

Telefoon:

050 36 37908

Secretariaat (Elina Sietsema):

050 36 36533

E-mail:

l.r.b.schomaker rug.nl

Homepage ORCID Research Portal

Publicaties

Separability versus prototypicality in handwritten word-image retrieval

van Oosten, J.-P. & Schomaker, L., mrt.-2014, In: Pattern recognition. 47, 3, blz. 1031-1038 8 blz.

Onderzoeksoutput: Article › › peer review

Handwritten-word spotting using biologically inspired features

van der Zant, T., Schomaker, L. & Haak, K., nov.-2008, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 11, blz. 1945-1957 13 blz.

Onderzoeksoutput: Article › › peer review

Text-independent writer identification and verification using textural and allographic features

Bulacu, M. L. & Schomaker, L. R. B., apr.-2007, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 29, 4, blz. 701-717 17 blz.

Onderzoeksoutput: Article › › peer review

Automatic writer identification using connected-component contours and edge-based features of uppercase western script

Schomaker, L. & Bulacu, M., jun.-2004, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 26, 6, blz. 787-798 12 blz.

Onderzoeksoutput: Article › › peer review

The Neural Support Vector Machine

Wiering, M., van der Ree, M., Embrechts, M., Stollenga, M., Meijster, A., Nolte, A. & Schomaker, L., 2013, The 25th Benelux Artificial Intelligence Conference (BNAIC).

Onderzoeksoutput › › peer review

Apf+: Boosting adaptive-potential function reinforcement learning methods with a W-shaped network for high-dimensional games

Chen, Y. & Schomaker, L., 17-mrt.-2025, (Submitted) arXiv, 47 blz.

Onderzoeksoutput: Voordruk ›

Introduction to Memristive Mechanisms and Models

Cipollini, D. & Schomaker, L., 24-jan.-2025, (E-pub ahead of print) In: Recent patents on nanotechnology.

Onderzoeksoutput: Article › › peer review

Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks using Adaptive Potential Functions

Chen, Y., Schomaker, L. & Cruz, F., 7-feb.-2024, (Submitted) arXiv, 8 blz.

Onderzoeksoutput: Voordruk ›

Boosting Reinforcement Learning Algorithms in Continuous Robotic Reaching Tasks Using Adaptive Potential Functions

Chen, Y., Schomaker, L. & Cruz, F., 20-nov.-2024, AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Proceedings. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (uitgave). Springer, blz. 52-64 13 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15443 LNAI).

Onderzoeksoutput › › peer review

Conduction mechanisms in a planar nanocomposite resistive switching device based on cluster-assembled Au/ZrOx films

Cipollini, D., Profumo, F., Schomaker, L., Milani, P. & Borghi, F., 2024, In: Frontiers in Materials. 11, 11 blz., 1385792.

Onderzoeksoutput: Article › › peer review

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