DataGen: a generator of datasets for evaluation of classification algorithms. - Dmitri A. Rachkovskij; Ernst M. Kussul (Pattern Recognit. Lett., 1998)

The random subspace coarse coding scheme for real-valued vectors. - Ernst M. Kussul; Dmitri A. Rachkovskij; Donald C. Wunsch (IJCNN, 1999)

A Recurrent Neural Network for Partitioning of Hand Drawn Characters into Strokes of Different Orientations. - Alexander V. Goltsev; Dmitri A. Rachkovskij (Int. J. Neural Syst., 2001)

Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning. - Dmitri A. Rachkovskij; Ernst M. Kussul (Neural Comput., 2001)

Representation and Processing of Structures with Binary Sparse Distributed Codes. - Dmitri A. Rachkovskij (IEEE Trans. Knowl. Data Eng., 2001)

Some approaches to analogical mapping with structure-sensitive distributed representations. - Dmitri A. Rachkovskij (J. Exp. Theor. Artif. Intell., 2004)

Combination of the assembly neural network with a perceptron for recognition of handwritten digits arranged in numeral strings. - Alexander V. Goltsev; Dmitri A. Rachkovskij (Pattern Recognit., 2005)

Similarity-Based Retrieval with Structure-Sensitive Sparse Binary Distributed Representations. - Dmitri A. Rachkovskij; Serge V. Slipchenko (Comput. Intell., 2012)

Modification of Holographic Graph Neuron Using Sparse Distributed Representations. - Denis Kleyko; Evgeny Osipov; Dmitri A. Rachkovskij (BICA, 2016)

Neural Distributed Autoassociative Memories: A Survey. - V. I. Gritsenko; Dmitri A. Rachkovskij; A. A. Frolov; Ross W. Gayler; Denis Kleyko; Evgeny Osipov (CoRR, 2017)

Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics. - Denis Kleyko; Abbas Rahimi; Dmitri A. Rachkovskij; Evgeny Osipov; Jan M. Rabaey (IEEE Trans. Neural Networks Learn. Syst., 2018)

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (CoRR, 2021)

Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. - Dmitri A. Rachkovskij; Denis Kleyko (IJCNN, 2022)

Representation of spatial objects by shift-equivariant similarity-preserving hypervectors. - Dmitri A. Rachkovskij (Neural Comput. Appl., 2022)

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (Proc. IEEE, 2022)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges. - Denis Kleyko; Dmitri A. Rachkovskij; Evgeny Osipov; Abbas Rahimi (ACM Comput. Surv., 2023)

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings. - Denis Kleyko; Dmitri A. Rachkovskij (IJCNN, 2024)

Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification. - Kenny Schlegel; Dmitri A. Rachkovskij; Evgeny Osipov; Peter Protzel; Peer Neubert (IJCNN, 2024)

Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences. - Dmitri A. Rachkovskij (Cogn. Comput., 2024)

Implementing Holographic Reduced Representations for Spiking Neural Networks. - Vidura Sumanasena; Daswin De Silva; Evgeny Osipov; Dmitri A. Rachkovskij; Ross W. Gayler (IEEE Access, 2025)