Neural architectures for sensorfusion in speechrecognition. - Gabi Krone; B. Talk; Andreas Wichert; Günther Palm (AVSP, 1997)

Audio-visual sensor fusion with neural architectures. - Barbara Helga Talle; Andreas Wichert (AVSP, 1999)

Associative Computation and Associative Prediction. - Andrzej Wichert (NCPW, 2000)

Associative Computation. - Andreas Miroslaus Wichert (2000)

Pictorial reasoning with cell assemblies. - Andrzej Wichert (Connect. Sci., 2001)

Learning of associative prediction by experience. - Andrzej Wichert (Neurocomputing, 2002)

Categorial expert systems. - Andrzej Wichert (Expert Syst. J. Knowl. Eng., 2004)

Associative computer: a hybrid connectionistic production system. - Andreas Wichert (Cogn. Syst. Res., 2005)

Associative diagnosis. - Andrzej Wichert (Expert Syst. J. Knowl. Eng., 2005)

Flexible kernels for RBF networks. - André O. Falcão; Thibault Langlois; Andreas Wichert (Neurocomputing, 2006)

Cell assemblies for diagnostic problem-solving. - Andreas Wichert (Neurocomputing, 2006)

One-to-many data transformation operations - optimization and execution on an RDBMS. - Paulo J. F. Carreira; Helena Galhardas; João Pereira 002; Andrzej Wichert (ICEIS (1), 2007)

On Handling One-to-Many Transformations in Relational Systems. - Paulo Carreira 001; Helena Galhardas; João Pereira 002; Andrzej Wichert (ICEIS (Selected Papers), 2007)

Subspace indexing for extremely high-dimensional CBIR. - Andrzej Wichert (CBMI, 2008)

Visual search light model for mental problem solving. - Andreas Wichert; João Dias Pereira; Paulo Carreira 001 (Neurocomputing, 2008)

Content-based image retrieval by hierarchical linear subspace method. - Andreas Wichert (J. Intell. Inf. Syst., 2008)

Subspace Tree. - Andrzej Wichert (CBMI, 2009)

Sub-Symbols and Icons. - Andreas Wichert (Cogn. Comput., 2009)

Subspace tree: high dimensional multimedia indexing with logarithmic temporal complexity. - Andreas Wichert; Pedro Teixeira; Pedro Santos; Helena Galhardas (J. Intell. Inf. Syst., 2010)

Neocognitron and the Map Transformation Cascade. - Ângelo Cardoso; Andreas Wichert (Neural Networks, 2010)

Neural Sub-Symbolic Reasoning. - Andreas Wichert (NeSy, 2011)

A Hierarchical Sorting Oracle. - Luís Tarrataca; Andreas Wichert (QI, 2011)

From symbolic to sub-symbolic information in question classification. - João Pedro Carlos Gomes da Silva; Luísa Coheur; Ana Cristina Mendes; Andreas Wichert (Artif. Intell. Rev., 2011)

Problem-solving and Quantum Computation. - Luís Tarrataca; Andreas Wichert (Cogn. Comput., 2011)

The Role of Attention in the Context of Associative Memory. - Andreas Wichert (Cogn. Comput., 2011)

Tree-like hierarchical associative memory structures. - João Sacramento; Andreas Wichert (Neural Networks, 2011)

Tree search and quantum computation. - Luís Tarrataca; Andreas Wichert (Quantum Inf. Process., 2011)

Product Quantization for Vector Retrieval with No Error. - Andrzej Wichert (ICEIS (1), 2012)

Binary Willshaw learning yields high synaptic capacity for long-term familiarity memory. - João Sacramento; Andreas Wichert (Biol. Cybern., 2012)

CBIR with a subspace tree: principal component analysis versus averaging. - Andreas Wichert; André Filipe da Silva Veríssimo (Multim. Syst., 2012)

Regarding the temporal requirements of a hierarchical Willshaw network. - João Sacramento; Francisco Burnay; Andreas Wichert (Neural Networks, 2012)

Iterative random projections for high-dimensional data clustering. - Ângelo Cardoso; Andreas Wichert (Pattern Recognit. Lett., 2012)

Can quantum entanglement detection schemes improve search? - Luís Tarrataca; Andreas Wichert (Quantum Inf. Process., 2012)

A quantum production model. - Luís Tarrataca; Andreas Wichert (Quantum Inf. Process., 2012)

Finding academic experts on a multisensor approach using Shannon's entropy. - Catarina Moreira; Andreas Wichert (Expert Syst. Appl., 2013)

Handwritten digit recognition using biologically inspired features. - Ângelo Cardoso; Andreas Wichert (Neurocomputing, 2013)

Proto logic and neural subsymbolic reasoning. - Andreas Wichert (J. Log. Comput., 2013)

Intricacies of quantum computational paths. - Luís Tarrataca; Andreas Wichert (Quantum Inf. Process., 2013)

Interference effects in quantum belief networks. - Catarina Moreira; Andreas Wichert (Appl. Soft Comput., 2014)

Taxonomical Associative Memory. - Diogo Rendeiro; João Sacramento; Andreas Wichert (Cogn. Comput., 2014)

Noise tolerance in a Neocognitron-like network. - Ângelo Cardoso; Andreas Wichert (Neural Networks, 2014)

Intelligent Big Multimedia Databases - Andreas Wichert (WorldScientific, 2015)

The Relation Between Acausality and Interference in Quantum-Like Bayesian Networks. - Catarina Moreira; Andreas Wichert (QI, 2015)

Quantum Iterative Deepening with an application to the Halting problem. - Luís Tarrataca; Andreas Wichert (CoRR, 2015)

On Projection Based Operators in Lp space for Exact Similarity Search. - Andreas Wichert; Catarina Moreira (CoRR, 2015)

On Projection Based Operators in lp Space for Exact Similarity Search. - Andreas Wichert; Catarina Moreira (Fundam. Informaticae, 2015)

Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity Rules. - João Sacramento; Andreas Wichert; Mark C. W. van Rossum (PLoS Comput. Biol., 2015)

Artificial intelligence and a universal quantum computer. - Andreas Wichert (AI Commun., 2016)

The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty. - Catarina Moreira; Emmanuel Haven; Sandro Sozzo; Andreas Wichert (CoRR, 2017)

Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing Principle. - Catarina Moreira; Andreas Wichert (QI, 2018)

Balanced Quantum-Like Model for Decision Making. - Andreas Wichert; Catarina Moreira (QI, 2018)

Towards a Quantum-Like Cognitive Architecture for Decision-Making. - Catarina Moreira; Lauren Fell; Shahram Dehdashti; Peter Bruza; Andreas Wichert (CoRR, 2019)

Attention Inspired Network: Steep learning curve in an invariant pattern recognition model. - Luis Sa-Couto; Andreas Wichert (Neural Networks, 2019)

Principles of Quantum-like Evolution. - Andrzej Wichert (Open Syst. Inf. Dyn., 2019)

Principles of Quantum Artificial Intelligence - Quantum Problem Solving and Machine Learning, Second Edition - Andreas Wichert (Principles of Quantum Artificial Intelligence, 2nd Edition, 2020)

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics. - Catarina Moreira; Renuka Sindhgatta; Chun Ouyang 001; Peter Bruza; Andreas Wichert (CoRR, 2020)

Balanced Quantum-Like Bayesian Networks. - Andreas Wichert; Catarina Moreira; Peter Bruza (Entropy, 2020)

Storing Object-Dependent Sparse Codes in a Willshaw Associative Network. - Luis Sa-Couto; Andreas Wichert (Neural Comput., 2020)

Quantum-like influence diagrams for decision-making. - Catarina Moreira; Prayag Tiwari; Hari Mohan Pandey; Peter Bruza; Andreas Wichert (Neural Networks, 2020)

Machine Learning - A Journey to Deep Learning - with Exercises and Answers - Andreas Wichert; Luis Sa-Couto (Machine Learning - A Journey to Deep Learning, 2021)

Quantum Cognition and the Mind. - Andreas Wichert (J. Artif. Intell. Conscious., 2021)

Simple Convolutional-Based Models: Are They Learning the Task or the Data? - Luis Sa-Couto; Andreas Wichert (Neural Comput., 2021)

Quantum-like Gaussian mixture model. - Andreas Wichert (Soft Comput., 2021)

Multiple-Modality Associative Memory: a framework for Learning. - Rodrigo Simas; Luis Sa-Couto; Andreas Wichert (CoRR, 2022)

Multi-level Data Representation For Training Deep Helmholtz Machines. - Jose Miguel Ramos; Luis Sa-Couto; Andreas Wichert (CoRR, 2022)

Understanding the double descent curve in Machine Learning. - Luis Sa-Couto; Jose Miguel Ramos; Miguel Almeida; Andreas Wichert (CoRR, 2022)

The smooth output assumption, and why deep networks are better than wide ones. - Luis Sa-Couto; Jose Miguel Ramos; Andreas Wichert (CoRR, 2022)

Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognition. - Luis Sa-Couto; Andreas Wichert (Neurocomputing, 2022)

"What-Where" sparse distributed invariant representations of visual patterns. - Luis Sa-Couto; Andreas Wichert (Neural Comput. Appl., 2022)

Self-organizing maps on "what-where" codes towards fully unsupervised classification. - Luis Sa-Couto; Andreas Wichert (Biol. Cybern., 2023)

Quantum Lernmatrix. - Andreas Wichert (Entropy, 2023)

Classification and generation of real-world data with an associative memory model. - Rodrigo Simas; Luis Sa-Couto; Andreas Wichert (Neurocomputing, 2023)

Competitive learning to generate sparse representations for associative memory. - Luís Sa-Couto; Andreas Wichert (Neural Networks, 2023)

NLP Tools for African Languages: Overview. - Joaquim Mussandi; Andreas Wichert (PROPOR (2), 2024)

Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets. - Maria Osório; Andreas Wichert (Neural Comput., 2024)

Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data? - Maria Osório; Luis Sa-Couto; Andreas Wichert (Biol. Cybern., 2024)

Multilevel Data Representation for Training Deep Helmholtz Machines. - Jose Miguel Ramos; Luis Sa-Couto; Andreas Wichert (Neural Comput., 2025)