Quantum Information Access and Retrieval Theory

Informazioni relative al progetto

QUARTZ

ID dell’accordo di sovvenzione: 721321

DOI

10.3030/721321

Progetto chiuso

Data della firma CE 16 Agosto 2016

Data di avvio 1 Gennaio 2017

Data di completamento 31 Dicembre 2020

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 461 495,04

Contributo UE

€ 3 461 495,04

Coordinato da

UNIVERSITA DEGLI STUDI DI PADOVA
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (24)

Evaluation results of QUARTZ

Results of the evaluation activities performed to assess effectiveness and efficiency of the methods for: Geometry and Deep Learning of Vector Spaces for Multimodal Information Access and Retrieval; Interaction, Logic and Languages for Information Access and Retrieval; Quantum Probability and Ranking in Information Access and Retrieval.

Multimodal Deep Learning of Abstract Vector Spaces and Adaptive Ranking Scheme

To build an integrated theoretical framework and computational methods for an adaptive representation of the multimodal content and context, and an adaptive retrieval function correspondingly; to implement a prototype system to realise the proposed computational methods.

Workshop W1 report

This deliverable provides an overview about the organization and the implementation of the 1st QUARTZ Workshop.

Non-Decomposable Semantic Indicators

To produce a solid mathematical framework for switching between linguistically naïve and linguistically more robust representations of document semantics; to integrate a formal modeling of this decision to switch into ranking; to produce a new family of ranking models that are closer to human cognition than presently possible.

Quantum Statistical Distributions for Abstract Conceptual Data

To describe the statistical behavor of concepts (seen as collections of words) on IAR with quantum statistical distributions ; to incorporate techniques to handle certain issues at the interface between IAR and Natural Language Processing (NLP) such as word polysemy and co-reference resolution will be used to improve the methodology.

Workshop W2 report

This deliverable provides an overview about the organization and the implementation of the 2nd QUARTZ Workshop.

Workshop W3 report

This deliverable provides an overview about the organization and the implementation of the 3rd QUARTZ Workshop.

1st Outreach report

This deliverable describes the progress, outcomes and outlook of the project, communicated through the project website and the local regular newsletters or reports issued by each organisation, for the first period of the project.

Entanglement of semantic entities in the web

To perform a systematic analysis and test of the experimental methodologies; to identify the different forms in which entangled entities can be identified on the web; to extend these methodologies to other types of data, such as videos, and link structures.

A Transition-based Dynamic Evaluation Method based on Quantum Automata

To design and verify a novel evaluation method based on quantum automata theory, which can naturally take into account users’ dynamic relevance judgment in context-sensitive IAR scenarios.

Reasoning in Quantum Logic

To provide a language with formal syntax and semantics based on modal logic and quantum logic; for a computer-based reasoning, an appropriate calculus needs to be developed which is proved to be correct and complete.

Dynamic Content Monitoring and Exploration using Vector Spaces

To investigate an abstract vector space-based methodology to support specialists in monitoring, exploring and interacting with (thematic) issues on corpora that are unstructured, heterogeneous in terms of content and type, and involve a long time span and/or evolve through time.

Characterising Uncertainty in Feature Extraction for Document Ranking

To investigate and propose mathematical tools for considering and quantifying the degree of uncertainty in probability estimates of document features that are used for ranking; to define ranking decision algorithms when the input arguments may be fraught with uncertainty.

Quantum open systems and adaptive ranking of information items

To develop novel methods of adaptive ranking of information items based on the theory of open quantum systems and information access and retrieval.

Workshop W4 report

This deliverable provides an overview about the organization and the implementation of the 4th QUARTZ Workshop.

2nd Outreach report

This deliverable describes the progress, outcomes and outlook of the project, communicated through the project website and the local regular newsletters or reports issued by each organisation, for the period from M25 to M36 of the project.

Decision Theory Based on Contextual Quantum Probability

To investigate how humans perceive, judge the relevance of documents and make decisions about what information is relevant; to develop a geometric model of IAR which will lead to employ a novel decision theory based on quantum probability.

School report

This deliverable provides an overview about the organization and the implementation of the QUARTZ School.

Querying and Ranking Multimodal Data Using Vector Spaces

To define: abstract vector spaces to build multimodal complex features; a query language for interactive search of multimodal information in abstract vector spaces; a ranking function in abstract vector spaces.

Overall recruitment

This deliverable is devoted to the coordination of the ESR recruitment activities

User Engagement and Dissemination plan

This deliverable describes the dissemination and public engagement strategy of the project.

A Quantum Model for Interactive Search and Retrieval based on Information Foraging Theory

To provide evidence that the quantum theoretical framework can describe and process rich interaction models considering vague and evolving information needs based on Information Foraging Theory.

Design, Evaluation and Application of an Interactive Quantum theoretical Polyrepresentative Framework

To provide a polyrepresentative information retrieval model that is capable to react to different forms of user interaction to detect, investigate and apply dependencies between different representations and sources of evidence.

Modeling User’s Cognitive Dynamics in IAR via Quantum Probability

To provide findings about quantum-like properties when users’ relevance judgments/measurements are uncertain, interfered by the context factors, or evolving with the user’s progress in the IAR process; to predict user’s cognitive status and relevance measurements in context sensitive search scenarios.

Pubblicazioni

Other (12)

Violation of the Bell-CHSH inequality and marginal laws in a single-entity Bell-test experiment

Autori: Aerts, Diederik; de Bianchi, Massimiliano Sassoli
Pubblicato in: Numero 1, 2019
Editore: Arxiv

Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19

Autori: Lima, Lucas Chaves; Hansen, Casper; Hansen, Christian; Wang, Dongsheng; Maistro, Maria; Larsen, Birger; Simonsen, Jakob Grue; Lioma, Christina
Pubblicato in: Numero 1, 2020
Editore: Arxiv

Energy flow in biological system: Bioenergy transduction of V1-ATPase molecular rotary motor from E. hirae

Autori: Yamato, Ichiro; Murata, Takeshi; Khrennikov, Andrei
Pubblicato in: Numero 1, 2017
Editore: Arxiv

Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach

Autori: Jaiswal, Amit Kumar; Liu, Haiming; Frommholz, Ingo
Pubblicato in: Numero 1, 2020
Editore: Arxiv

Multi-Head Self-Attention with Role-Guided Masks

Autori: Wang, Dongsheng; Hansen, Casper; Lima, Lucas Chaves; Hansen, Christian; Maistro, Maria; Simonsen, Jakob Grue; Lioma, Christina
Pubblicato in: Numero 1, 2020
Editore: Arxiv

Kernel Method based on Non-Linear Coherent State

Autori: Tiwari, Prayag; Dehdashti, Shahram; Obeid, Abdul Karim; Melucci, Massimo; Bruza, Peter
Pubblicato in: 2020
Editore: Arxiv

CNM: An Interpretable Complex-valued Network for Matching

Autori: Li, Qiuchi; Wang, Benyou; Melucci, Massimo
Pubblicato in: 2019
Editore: Arxiv

Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis

Autori: Gkoumas, Dimitris; Li, Qiuchi; Dehdashti, Shahram; Melucci, Massimo; Yu, Yijun; Song, Dawei
Pubblicato in: Numero 3, 2021
Editore: Arxiv

Multi-class Classification Model Inspired by Quantum Detection Theory

Autori: Tiwari, Prayag; Melucci, Massimo
Pubblicato in: Numero 1, 2018
Editore: Arxiv

Quantum-like modeling of the order effect in decision making: POVM viewpoint on the Wang-Busemeyer QQ-equality

Autori: Lebedev, Aleksandr; Khrennikov, Andrei
Pubblicato in: 2018
Editore: Arxiv

Effects of Foraging in Personalized Content-based Image Recommendation

Autori: Jaiswal, Amit Kumar; Liu, Haiming; Frommholz, Ingo
Pubblicato in: Numero 6, 2019
Editore: Arxiv

Contextual Compositionality Detection with External Knowledge Bases andWord Embeddings

Autori: Wang, Dongsheng; Li, Quichi; Lima, Lucas Chaves; Simonsen, Jakob grue; Lioma, Christina
Pubblicato in: Numero 1, 2019
Editore: Arxiv

Conference proceedings (19)

Semantic Hilbert Space for Text Representation Learning

Autori: Qiuchi Li; Benyou Wang; Dawei Song; Massimo Melucci
Pubblicato in: WWW, Numero 1, 2020
Editore: ACM Press
DOI: 10.1145/3308558.3313516

BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science

Autori: Ingo Frommholz, Haiming Liu, Massimo Melucci
Pubblicato in: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Pagina/e 2455-2458, ISBN 9781450380164
Editore: ACM
DOI: 10.1145/3397271.3401463

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Autori: Chen Zhang, Qiuchi Li, Dawei Song
Pubblicato in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Pagina/e 4567-4577
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1464

A Quantum Many-body Wave Function Inspired Language Modeling Approach

Autori: Peng Zhang, Zhan Su, Lipeng Zhang, Benyou Wang, Dawei Song
Pubblicato in: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018, Pagina/e 1303-1312, ISBN 9781450360142
Editore: ACM
DOI: 10.1145/3269206.3271723

Quantum-Inspired Complex Word Embedding

Autori: Qiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song
Pubblicato in: Proceedings of The Third Workshop on Representation Learning for NLP, 2018, Pagina/e 50-57
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/w18-3006

The 8th Symposium on Future Directions in Information Access

Autori: Haiming Liu, Ingo Frommholz, Ingo Schmitt, Dawei Song
Pubblicato in: Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018, Pagina/e 5-5, ISBN 9781450356565
Editore: ACM
DOI: 10.1145/3234944.3237193

Binary Classification Model Inspired from Quantum Detection Theory

Autori: Emanuele Di Buccio, Qiuchi Li, Massimo Melucci, Prayag Tiwari
Pubblicato in: Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '18, 2018, Pagina/e 187-190, ISBN 9781-450356565
Editore: ACM Press
DOI: 10.1145/3234944.3234979

Modeling Multidimensional User Relevance in IR using Vector Spaces

Autori: Sagar Uprety, Yi Su, Dawei Song, Jingfei Li
Pubblicato in: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Pagina/e 993-996, ISBN 9781-450356572
Editore: ACM Press
DOI: 10.1145/3209978.3210130

Quantum-like Generalization of Complex Word Embedding: a lightweight approach for textual classification.

Autori: Jaiswal, A. K., Holdack, G., Frommholz, I., & Liu, H.
Pubblicato in: "Conference ""Lernen, Wissen, Daten, Analysen"" (LWDA)", 2018
Editore: CEUR-WS

Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs

Autori: Sagar Uprety, Dawei Song
Pubblicato in: Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '18, 2018, Pagina/e 191-194, ISBN 9781-450356565
Editore: ACM Press
DOI: 10.1145/3234944.3234972

Multi-class Classification Model Inspired by Quantum Detection Theory.

Autori: Tiwari, P., & Melucci, M.
Pubblicato in: Future Directions in Information Access (FDIA 2018), 2018
Editore: NA

Towards a Quantum-Inspired Framework for Binary Classification

Autori: Prayag Tiwari, Massimo Melucci
Pubblicato in: Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 2018, Pagina/e 1815-1818, ISBN 9781-450360142
Editore: ACM Press
DOI: 10.1145/3269206.3269304

Quantum Language Model-based Query Expansion

Autori: Qiuchi Li, Massimo Melucci, Prayag Tiwari
Pubblicato in: Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '18, 2018, Pagina/e 183-186, ISBN 9781-450356565
Editore: ACM Press
DOI: 10.1145/3234944.3234970

Quantum-inspired Complex Word Embedding

Autori: Li, Qiuchi; Uprety, Sagar; Wang, Benyou; Song, Dawei
Pubblicato in: Proceedings of The Third Workshop on Representation Learning for NLP, 2018, 50–57, Numero 1, 2018, Pagina/e 50-57, ISBN 978-1-948087-43-8
Editore: ACL

Investigating Interactive Information Retrieval via Information Foraging Theory.

Autori: Jaiswal, A. K.
Pubblicato in: Proceedings FDIA, ICTIR. Tianjin, China., 2018
Editore: ACM

Modelling Dynamic Interactions Between Relevance Dimensions

Autori: Sagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song
Pubblicato in: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019, Pagina/e 35-42, ISBN 9781450368810
Editore: ACM
DOI: 10.1145/3341981.3344233

Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion

Autori: Jaiswal, A. K., Liu, H., & Frommholz, I.
Pubblicato in: In Proceedings of the 42th European Conference of Information Retrieval (ECIR 2020), 2020
Editore: Springer

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Autori: Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen
Pubblicato in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, Pagina/e 4684-4696
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/d19-1475

Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation

Autori: Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Pubblicato in: Proceedings of the 11th Forum for Information Retrieval Evaluation, 2019, Pagina/e 65-69, ISBN 9781450377508
Editore: ACM
DOI: 10.1145/3368567.3368583

Peer reviewed articles (37)

Towards a quantum World Wide Web

Autori: Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Lyneth Beltran, Isaac Distrito, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Theoretical Computer Science, Numero 752, 2018, Pagina/e 116-131, ISSN 0304-3975
Editore: Elsevier BV
DOI: 10.1016/j.tcs.2018.03.019

Quantum-inspired multimodal fusion for video sentiment analysis

Autori: Christina Lioma; Massimo Melucci; Qiuchi Li; Dimitrios Gkoumas
Pubblicato in: Information Fusion, Numero 1, 2020, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2020.08.006

Towards a Quantum-Inspired Binary Classifier

Autori: Prayag Tiwari, Massimo Melucci
Pubblicato in: IEEE Access, Numero 7, 2019, Pagina/e 42354-42372, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2904624

Representing Attitudes Towards Ambiguity in Hilbert Space: Foundations and Applications

Autori: Sandro Sozzo
Pubblicato in: Foundations of Science, 2019, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-020-09718-5

Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis

Autori: Yazhou Zhang, Prayag Tiwari, Dawei Song, Xiaoliu Mao, Panpan Wang, Xiang Li, Hari Mohan Pandey
Pubblicato in: Neural Networks, Numero 133, 2021, Pagina/e 40-56, ISSN 0893-6080
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2020.10.001

A model of adaptive decision-making from representation of information environment by quantum fields

Autori: F. Bagarello, E. Haven, A. Khrennikov
Pubblicato in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Numero 375/2106, 2017, Pagina/e 20170162, ISSN 1364-503X
Editore: Royal Society of London
DOI: 10.1098/rsta.2017.0162

Binary Classifier Inspired by Quantum Theory

Autori: Prayag Tiwari, Massimo Melucci
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 33, 2019, Pagina/e 10051-10052, ISSN 2374-3468
Editore: AAAI Press
DOI: 10.1609/aaai.v33i01.330110051

Testing ambiguity and Machina preferences within a quantum-theoretic framework for decision-making

Autori: Diederik Aerts, Suzette Geriente, Catarina Moreira, Sandro Sozzo
Pubblicato in: Journal of Mathematical Economics, Numero 78, 2018, Pagina/e 176-185, ISSN 0304-4068
Editore: Elsevier BV
DOI: 10.1016/j.jmateco.2017.12.002

Quantum field inspired model of decision making: Asymptotic stabilization of belief state via interaction with surrounding mental environment

Autori: Fabio Bagarello, Irina Basieva, Andrei Khrennikov
Pubblicato in: Journal of Mathematical Psychology, Numero 82, 2018, Pagina/e 159-168, ISSN 0022-2496
Editore: Academic Press
DOI: 10.1016/j.jmp.2017.10.002

Structural block driven enhanced convolutional neural representation for relation extraction

Autori: Dongsheng Wang, Prayag Tiwari, Sahil Garg, Hongyin Zhu, Peter Bruza
Pubblicato in: Applied Soft Computing, Numero 86, 2020, Pagina/e 105913, ISSN 1568-4946
Editore: Elsevier BV
DOI: 10.1016/j.asoc.2019.105913

Exploring EEG Features in Cross-Subject Emotion Recognition

Autori: Xiang Li, Dawei Song, Peng Zhang, Yazhou Zhang, Yuexian Hou, Bin Hu
Pubblicato in: Frontiers in Neuroscience, Numero 12, 2018, ISSN 1662-453X
Editore: Frontiers Media SA
DOI: 10.3389/fnins.2018.00162

A Generalized Language Model in Tensor Space

Autori: Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 33, 2019, Pagina/e 7450-7458, ISSN 2374-3468
Editore: AAAI Press
DOI: 10.1609/aaai.v33i01.33017450

From Quantum Axiomatics to Quantum Conceptuality

Autori: Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Activitas Nervosa Superior, Numero 61/1-2, 2019, Pagina/e 76-82, ISSN 1802-9698
Editore: Collegium Internationale Activitatis Nervosae Superioris
DOI: 10.1007/s41470-019-00030-7

A quantum-inspired multimodal sentiment analysis framework

Autori: Yazhou Zhang, Dawei Song, Peng Zhang, Panpan Wang, Jingfei Li, Xiang Li, Benyou Wang
Pubblicato in: Theoretical Computer Science, Numero 752, 2018, Pagina/e 21-40, ISSN 0304-3975
Editore: Elsevier BV
DOI: 10.1016/j.tcs.2018.04.029

Quantum entanglement in physical and cognitive systems: A conceptual analysis and a general representation

Autori: D. Aerts, J. Aerts Arguëlles, L. Beltran, S. Geriente, M. Sassoli de Bianchi, S. Sozzo, T. Veloz
Pubblicato in: The European Physical Journal Plus, Numero 134/10, 2019, ISSN 2190-5444
Editore: Springer Science + Business Media
DOI: 10.1140/epjp/i2019-12987-0

Quantum-Theoretic Modeling in Computer Science

Autori: Diederik Aerts, Lester Beltran, Suzette Geriente, Sandro Sozzo
Pubblicato in: International Journal of Theoretical Physics, 2019, ISSN 0020-7748
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10773-019-04155-y

What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis

Autori: Dimitris Gkoumas, Qiuchi Li, Christina Lioma, Yijun Yu, Dawei Song
Pubblicato in: Information Fusion, Numero 66, 2021, Pagina/e 184-197, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2020.09.005

How images combine meaning: quantum entanglement in visual perception

Autori: Jonito Aerts Arguëlles, Sandro Sozzo
Pubblicato in: Soft Computing, Numero 24/14, 2020, Pagina/e 10277-10286, ISSN 1432-7643
Editore: Springer Verlag
DOI: 10.1007/s00500-020-04692-3

Testing Quantum Models of Conjunction Fallacy on the World Wide Web

Autori: Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Lyneth Beltran, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: International Journal of Theoretical Physics, Numero 56/12, 2017, Pagina/e 3744-3756, ISSN 0020-7748
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10773-017-3288-8

Quantum Theory Methods as a Possible Alternative for the Double-blind Gold Standard of Evidence-based Medicine: Outlining a New Research Program

Autori: Aerts, D., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., Van Sprundel, R., & Veloz, T.
Pubblicato in: Foundations of Science, 2018, ISSN 1233-1821
Editore: Oficyna Akademicka

Quantum Entanglement in Corpuses of Documents

Autori: Lester Beltran, Suzette Geriente
Pubblicato in: Foundations of Science, 2018, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-018-9570-2

Spin and Wind Directions II: A Bell State Quantum Model

Autori: Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Suzette Geriente, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Foundations of Science, Numero 23/2, 2018, Pagina/e 337-365, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-017-9530-2

Spin and Wind Directions I: Identifying Entanglement in Nature and Cognition

Autori: Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Suzette Geriente, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Foundations of Science, Numero 23/2, 2018, Pagina/e 323-335, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-017-9528-9

Quantum probability in decision making from quantum information representation of neuronal states

Autori: Andrei Khrennikov, Irina Basieva, Emmanuel M. Pothos, Ichiro Yamato
Pubblicato in: Scientific Reports, Numero 8/1, 2018, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-018-34531-3

Explaining versus describing human decisions: Hilbert space structures in decision theory

Autori: Sandro Sozzo
Pubblicato in: Soft Computing, Numero 24/14, 2020, Pagina/e 10219-10229, ISSN 1432-7643
Editore: Springer Verlag
DOI: 10.1007/s00500-019-04140-x

Automaton model of protein: Dynamics of conformational and functional states

Autori: Andrei Khrennikov, Ekaterina Yurova
Pubblicato in: Progress in Biophysics and Molecular Biology, Numero 130, 2017, Pagina/e 2-14, ISSN 0079-6107
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.pbiomolbio.2017.02.003

On quantum implication

Autori: Yousef Younes, Ingo Schmitt
Pubblicato in: Quantum Machine Intelligence, Numero 1/1-2, 2019, Pagina/e 53-63, ISSN 2524-4906
Editore: Springer
DOI: 10.1007/s42484-019-00005-6

A proposal to extend expected utility in a quantum probabilistic framework

Autori: Diederik Aerts, Emmanuel Haven, Sandro Sozzo
Pubblicato in: Economic Theory, Numero 65/4, 2018, Pagina/e 1079-1109, ISSN 0938-2259
Editore: Springer Verlag
DOI: 10.1007/s00199-017-1051-2

On the Conceptuality Interpretation of Quantum and Relativity Theories

Autori: Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Foundations of Science, Numero 25/1, 2020, Pagina/e 5-54, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-018-9557-z

Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words

Autori: Diederik Aerts, Lester Beltran
Pubblicato in: Foundations of Science, Numero 25/3, 2020, Pagina/e 755-802, ISSN 1233-1821
Editore: Oficyna Akademicka
DOI: 10.1007/s10699-019-09633-4

Quantum observation scheme universally identifying causalities from correlations

Autori: Chenguang Zhang, Yuexian Hou, Dawei Song
Pubblicato in: Physical Review A, Numero 101/6, 2020, ISSN 2469-9926
Editore: APS
DOI: 10.1103/physreva.101.062103

Utilizing sources of evidence in relevance feedback through geometry

Autori: Emanuele Di Buccio
Pubblicato in: Theoretical Computer Science, Numero 752, 2018, Pagina/e 5-20, ISSN 0304-3975
Editore: Elsevier BV
DOI: 10.1016/j.tcs.2018.05.027

Report on the Quantum Information Access and Retrieval Theory Winter School

Autori: Emanuele Di Buccio
Pubblicato in: ACM SIGIR Forum, Numero 52/2, 2019, Pagina/e 92-99, ISSN 0163-5840
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3308774.3308789

Efficient Parameter Estimation for Information Retrieval Using Black-Box Optimization

Autori: Alberto Costa, Emanuele Di Buccio, Massimo Melucci, Giacomo Nannicini
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, Numero 30/7, 2018, Pagina/e 1240-1253, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2017.2761749

A Survey of Quantum Theory Inspired Approaches to Information Retrieval

Autori: Sagar Uprety, Dimitris Gkoumas, Dawei Song
Pubblicato in: ACM Computing Surveys, Numero 53/5, 2020, Pagina/e 1-39, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3402179

A distant supervision method based on paradigmatic relations for learning word embeddings

Autori: Jianquan Li, Renfen Hu, Xiaokang Liu, Prayag Tiwari, Hari Mohan Pandey, Wei Chen, Benyou Wang, Yaohong Jin, Kaicheng Yang
Pubblicato in: Neural Computing and Applications, Numero 32/12, 2020, Pagina/e 7759-7768, ISSN 0941-0643
Editore: Springer Verlag
DOI: 10.1007/s00521-019-04071-6

A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis

Autori: Yazhou Zhang, Dawei Song, Xiang Li, Peng Zhang, Panpan Wang, Lu Rong, Guangliang Yu, Bo Wang
Pubblicato in: Information Fusion, Numero 62, 2020, Pagina/e 14-31, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2020.04.003

Non-peer reviewed articles (1)

Towards Experiments to Test Violation of the Original Bell Inequality

Autori: Andrei Khrennikov, Irina Basieva
Pubblicato in: Entropy, Numero 20/4, 2018, Pagina/e 280, ISSN 1099-4300
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e20040280

Book chapters (6)

Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval

Autori: Sagar Uprety, Dimitris Gkoumas, Dawei Song
Pubblicato in: Quantum Interaction - 11th International Conference, QI 2018, Nice, France, September 3–5, 2018, Revised Selected Papers, Numero 11690, 2019, Pagina/e 177-188, ISBN 978-3-030-35894-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-35895-2_12

Meeting and Joining Theme Models in Vector Spaces for Information Retrieval

Autori: Emanuele Di Buccio, Massimo Melucci
Pubblicato in: Flexible Query Answering Systems, Numero 10333, 2017, Pagina/e 59-70, ISBN 978-3-319-59691-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59692-1_6

Monitoring Technoscientific Issues in the News

Autori: Alberto Cammozzo, Emanuele Di Buccio, Federico Neresini
Pubblicato in: ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Numero 1323, 2020, Pagina/e 536-553, ISBN 978-3-030-65964-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-65965-3_37

Investigating Non-classical Correlations Between Decision Fused Multi-modal Documents

Autori: Dimitris Gkoumas, Sagar Uprety, Dawei Song
Pubblicato in: Quantum Interaction - 11th International Conference, QI 2018, Nice, France, September 3–5, 2018, Revised Selected Papers, Numero 11690, 2019, Pagina/e 163-176, ISBN 978-3-030-35894-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-35895-2_11

Modeling Meaning Associated with Documental Entities: Introducing the Brussels Quantum Approach

Autori: Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz
Pubblicato in: Quantum-Like Models for Information Retrieval and Decision-Making, 2019, Pagina/e 1-33, ISBN 978-3-030-25912-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-25913-6_1

Quantum-Like Structure in Multidimensional Relevance Judgements

Autori: Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci
Pubblicato in: Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I, Numero 12035, 2020, Pagina/e 728-742, ISBN 978-3-030-45438-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-45439-5_48