Search Results for author: Peter Bruza

Found 13 papers, 1 papers with code

An Extension Of Combinatorial Contextuality For Cognitive Protocols

no code implementations15 Feb 2022 Abdul Karim Obeid, Peter Bruza, Catarina Moreira, Axel Bruns, Daniel Angus

Through this formalisation, we extend the combinatorial approach to support a measurement and treatment of disturbance, and offer techniques to separately distinguish noise and causal influences.

Management

Structural block driven - enhanced convolutional neural representation for relation extraction

no code implementations21 Mar 2021 Dongsheng Wang, Prayag Tiwari, Sahil Garg, Hongyin Zhu, Peter Bruza

In this paper, we propose a novel lightweight relation extraction approach of structural block driven - convolutional neural learning.

Relation Relation Extraction +1

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

no code implementations7 Mar 2021 Yu-Liang Chou, Catarina Moreira, Peter Bruza, Chun Ouyang, Joaquim Jorge

This paper presents an in-depth systematic review of the diverse existing body of literature on counterfactuals and causability for explainable artificial intelligence.

counterfactual Explainable artificial intelligence

An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models

no code implementations21 Jul 2020 Catarina Moreira, Yu-Liang Chou, Mythreyi Velmurugan, Chun Ouyang, Renuka Sindhgatta, Peter Bruza

This has led to an increased interest in interpretable machine learning, where post hoc interpretation presents a useful mechanism for generating interpretations of complex learning models.

BIG-bench Machine Learning Decision Making +1

Kernel Method based on Non-Linear Coherent State

no code implementations15 Jul 2020 Prayag Tiwari, Shahram Dehdashti, Abdul Karim Obeid, Massimo Melucci, Peter Bruza

In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted.

Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra

no code implementations2 Jun 2020 Shahram Dehdashti, Catarina Moreira, Abdul Karim Obeid, Peter Bruza

This paper uses deformed coherent states, based on a deformed Weyl-Heisenberg algebra that unifies the well-known SU(2), Weyl-Heisenberg, and SU(1, 1) groups, through a common parameter.

QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision

no code implementations30 May 2020 Catarina Moreira, Matheus Hammes, Rasim Serdar Kurdoglu, Peter Bruza

This paper provides the foundations of a unified cognitive decision-making framework (QulBIT) which is derived from quantum theory.

Bayesian Inference Decision Making

An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics

no code implementations21 Feb 2020 Catarina Moreira, Renuka Sindhgatta, Chun Ouyang, Peter Bruza, Andreas Wichert

We see certain distinct features used for predictions that provide useful insights about the type of cancer, along with features that do not generalize well.

Decision Making Interpretability Techniques for Deep Learning

Quantum-like Structure in Multidimensional Relevance Judgements

no code implementations20 Jan 2020 Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci

A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory.

Decision Making Decision Making Under Uncertainty

Towards a Quantum-Like Cognitive Architecture for Decision-Making

no code implementations11 May 2019 Catarina Moreira, Lauren Fell, Shahram Dehdashti, Peter Bruza, Andreas Wichert

We propose an alternative and unifying framework for decision-making that, by using quantum mechanics, provides more generalised cognitive and decision models with the ability to represent more information than classical models.

Decision Making

Unsupervised Mining of Analogical Frames by Constraint Satisfaction

1 code implementation ALTA 2018 Lance De Vine, Shlomo Geva, Peter Bruza

It has been demonstrated that vector-based representations of words trained on large text corpora encode linguistic regularities that may be exploited via the use of vector space arithmetic.

Language Acquisition Machine Translation +1

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