Learning, Applying, Multiplying Big Data Analytics

Risultati finali

Based on the identified education resources at partner organizations and the needs of PUPIN staff and the stakeholders from Serbia and the Region, a detailed Education and RTD Plan will be delivered. The Plan will include a draft programme for the Belgrade BDA Schools in 2019 and 2020.

Foresight Exercise and Policy Recommendations

This report will summarize a set of policy recommendations related to Big Data technologies and data-driven economy and relevant for Serbia and the Region.

Report on exploitation activities

This Report is concerned with the exploitation of LAMBDA results by the Coordinator - Institute Mihajlo Pupin.

Second Report on Communication activities and Dissemination Events

This deliverable will report on the participation in external events, and on the delivery of, and feedback from, project events in the both real-world and online.

First Report on Communication activities and Dissemination Events

This deliverable will report on the participation in external events, and on the delivery of, and feedback from, project events in the both real-world and online.

Belgrade BDA School (Report 3)

This deliverable will report about an (3-5 days) event that will be organized on an international level aiming at students, graduate students, as well as academic and industrial practitioners and researchers starting or being active in the field of Big Data.

Foresight Exercises

The goal of this deliverable is to report about the trends and drivers for the data-driven economy in Serbia and the Region as are identified by experts from universities, R&D organizations, businesses including SMEs, and relevant associations during the Research-Industry Forums.

Belgrade BDA School (Sustainability Plan)

This deliverable will include an Action plan for sustaining the activities of the Belgrade BDA School.

Belgrade BDA School (Report 1)

Belgrade BDA School (Report 2)

Dissemination and Communication Strategy and Preliminary Exploitation Plan

This deliverable focuses on communication and dissemination actions foreseen in LAMBDA.

Report on Communication activities and Dissemination Events

This final deliverable will report on the participation in external events, and on the delivery of, and feedback from, project events in the both real-world and online for the whole project timeline.

Strategic Capacity Development Plan

This report will prepare a document named 'Twinning Strategy and Action Plan for 2018-2020' specific for the LAMBDA partner organizations and generic enough to be applied to other similar twinning actions.

Big Data Challenges and Analysis of Scientific and Technological Landscape

State-of-the-art survey about the most perspective technologies as well as development tendencies in Big Data and Analytics domain.

PUPIN peer-reviewed publications in Big Data Analytics domain

This deliverable is a one-page statement that PUPIN has declared the peer-reviewed publications in the Big Data and Analytics domain published by PUPIN staff in the last three years preceding the start date of LAMBDA.

LAMBDA Learning and Consulting Tools at PUPIN

This deliverable will report about the SW environment and the tools selected and adopted by PUPIN staff and early stage researchers for experimentation in Big Data scenarios relevant for PUPIN.

External and intra-consortium e-collaboration tool v2.

This deliverable reports about the LAMBDA Web site and document store at M30.

External and intra-consortium e-collaboration tool v1.

For easier and more effective collaboration among consortium members (e.g facilitating joined paper and deliverable writing, version management, information sharing, stakeholders data-base management, etc) and with stakeholders, an e-collaboration tool will be established based on Drupal CMS. This deliverable reports about the current public contents and the structure of the document store.

Data Management Plan

The first version of LAMBDA DMP.

The ‘Trainers’ Network’ Infrastructure

This deliverable will report about the adoptions implemented in SlideWiki in order to be used for conducting the mentoring and training activities in LAMBDA work plan.

Learning Material (Smart Data Analytics)

LAMBDA training materials will include different algorithms and tools related to Distributed Semantic Analytics, Semantic Question Answering, Structured Machine Learning, Deep Learning, Software Engineering for Data Science, Semantic Data Management, Knowledge Extraction and Validation.

Learning Material (Enterprise Knowledge Graphs)

LAMBDA training materials will include formal conceptual frameworks for designing and maintaining knowledge graphs; such as strategies for the semi-automatic construction of such graphs from the combination of proprietary enterprise data and relevant public domain knowledge; opportunities and implications in terms of performance and access control.

Learning Material (Semantic BD Architectures)

LAMBDA training materials will include approaches for better supporting the variety dimension of Big Data comprising RDF, RDF-Schema and OWL knowledge representation formalisms, mapping standards such as R2RML, JSON-LD and CSVW, the SPARQL query language etc. Integrating semantic and Big Data technologies can help making Big Data architectures and applications more flexible, adaptive and their implementation more efficient.

Pubblicazioni

Reuse of Semantic Models for Emerging Smart Grids Applications

Autori: Janev, V., Popadić, D., Pujić, D., Vidal, M., Endris, K.
Pubblicato in: ICIST 2021 Proceedings, 2021, Pagina/e 119-123
Editore: Information Society of Serbia

A Big Data Learning Platform for the West Balkans and Beyond

Autori: Damien Graux, Valentina Janev, Hajira Jabeen, Emanuel Sallinger
Pubblicato in: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 2, 2021, Pagina/e 617-618, ISBN 9781450383974
Editore: ACM
DOI: 10.1145/3456565.3460026

A Distributed Approach for Parsing Large-scale OWL Datasets

Autori: Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen
Pubblicato in: Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2020, Pagina/e 227-234, ISBN 978-989-758-474-9
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0010138602270234

Energy user benchmarking using clustering approach

Autori: Dea Pujić, Marko Jelić, Marko Batić, Nikola Tomašević
Pubblicato in: Proc. of 10th International Conference on Information Society Technology, Kopaonik, Serbia, March 8 – March 11, 2020, 2020
Editore: Information Society Serbia

Managing Knowledge in Energy Data Spaces

Autori: Valentina Janev, Maria Esther Vidal, Kemele Endris, Dea Pujic
Pubblicato in: Companion Proceedings of the Web Conference 2021, 2021, Pagina/e 7-15, ISBN 9781450383134
Editore: ACM
DOI: 10.1145/3442442.3453541

SEO: A Scientific Events Data Model

Autori: Said Fathalla, Sahar Vahdati, Christoph Lange, Sören Auer
Pubblicato in: ISWC 2019: The Semantic Web – ISWC 2019, Numero LNCS, volume 11779, 2019, Pagina/e 79-95, ISBN 978-3-030-30795-0
Editore: Springer Nature Switzerland AG
DOI: 10.1007/978-3-030-30796-7_6

Comparison between different ML approaches for PV and STC production forecasting using real-world data

Autori: Dea Pujić, Marko Jelić, Nikola Tomasević
Pubblicato in: Proc. of 10th International Conference on Information Society Technology, Kopaonik, Serbia, March 8 – March 11, 2020, 2020
Editore: Information Society Serbia

Smart Energy Manager for Energy Efficient Buildings

Autori: Lazar Berbakov, Marko Batic, Nikola Tomasevic
Pubblicato in: IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 2019, Pagina/e 1-4, ISBN 978-1-5386-9301-8
Editore: IEEE
DOI: 10.1109/eurocon.2019.8861616

RED: Redundancy-Driven Data Extraction from Result Pages?

Autori: Jinsong Guo, Valter Crescenzi, Tim Furche, Giovanni Grasso, Georg Gottlob
Pubblicato in: The World Wide Web Conference on - WWW '19, 2019, Pagina/e 605-615, ISBN 9781450366748
Editore: ACM Press
DOI: 10.1145/3308558.3313529

Ontology Design for Pharmaceutical Research Outcomes

Autori: Say Z., Fathalla S., Vahdati S., Lehmann J., Auer S.
Pubblicato in: Hall M., Merčun T., Risse T., Duchateau F. (eds) Digital Libraries for Open Knowledge. TPDL 2020, Numero Lecture Notes in Computer Science, vol 12246., 2020, Pagina/e 119-132
Editore: Springer, Cham
DOI: 10.1007/978-3-030-54956-5_9

Correlation between IoT sensor measurements and total electricity consumption in smart homes

Autori: Marko Jelić, Dea Pujić, Marko Batić
Pubblicato in: Proc. of 10th International Conference on Information Society Technology, Kopaonik, Serbia, March 8 – March 11, 2020, 2020
Editore: Information Society Serbia

OWLStats: Distributed Computation of OWL Dataset Statistics

Autori: Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen
Pubblicato in: 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020, Pagina/e 381-386, ISBN 978-1-6654-1924-6
Editore: IEEE
DOI: 10.1109/wiiat50758.2020.00055

Cross-administration comparative analysis of open fiscal data

Autori: Fathoni A. Musyaffa, Jens Lehmann, Hajira Jabeen
Pubblicato in: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance, 2020, Pagina/e 459-468, ISBN 9781450376747
Editore: ACM
DOI: 10.1145/3428502.3428573

Big Data Analytics: Lectures from the LAMBDA Network

Autori: Valentina Janev, Dejan Paunović, Damien Graux, Hajira Jabeen, Emanuel Sallinger, Sahar Vahdati
Pubblicato in: Proc of 10th eLearning Conference, Belgrade Metropolitan University, 2019, 2019
Editore: Belgrade Metropolitan University

Big data and quality: A literature review

Autori: Guma Abdulkhader Lakshen, Sanja Vranes, Valentina Janev
Pubblicato in: 2016 24th Telecommunications Forum (TELFOR), 2016, Pagina/e 1-4, ISBN 978-1-5090-4086-5
Editore: IEEE
DOI: 10.1109/telfor.2016.7818902

Challenges in Quality Assessment of Arabic DBpedia

Autori: Guma Abdulkhader Lakshen, Valentina Janev, Sanja Vraneš
Pubblicato in: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18, 2018, Pagina/e 1-4, ISBN 9781-450354899
Editore: ACM Press
DOI: 10.1145/3227609.3227675

Smart Indoor Positioning System for Situation Awareness in Emergency Situations

Autori: Lazar Berbakov, Bogdan Pavkovic, Sanja Vrane
Pubblicato in: 2015 26th International Workshop on Database and Expert Systems Applications (DEXA), 2015, Pagina/e 139-143, ISBN 978-1-4673-7582-5
Editore: IEEE
DOI: 10.1109/DEXA.2015.44

Energy hub modelling and optimisation: an analytical case-study

Autori: Giovanni Beccuti, Turhan Demiray, Marko Batic, Nikola Tomasevic, Sanja Vranes
Pubblicato in: 2015 IEEE Eindhoven PowerTech, 2015, Pagina/e 1-6, ISBN 978-1-4799-7693-5
Editore: IEEE
DOI: 10.1109/PTC.2015.7232413

Linking Open Drug Data: Lessons Learned. In K. Saeed et al. (Eds.): CISIM 2019, LNCS 11703, pp. 1–12, 2019. Springer International Publishing. https://doi.org/10.1007/978-3-030-28957-7

Autori: Guma Lakshen, Sanja Vraneš, Valentina Janev
Pubblicato in: Computer Information Systems and Industrial Management, 2019, ISBN 978-3-030-28957-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-28957-7

A State-of-the-Art Review on Big Data Technologies

Autori: Dea Pujić, Marko Jelić, Dejan Paunović, Hajira Jabeen
Pubblicato in: International Conference on Information Society Technology,2019 Proceedings Vol.1, 2019, Pagina/e 130-134
Editore: Information Society Serbia

Quality Issues of Open Big Data Ecosystems: Toward Solution Development.

Autori: Guma Lakshen, Sanja Vraneš, Valentina Janev
Pubblicato in: Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019, 2019, Pagina/e 165-170
Editore: Information Society Serbia

Linking Open Drug Data: the Arabic dataset. In Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) .

Autori: Guma Lakshen, Sanja Vraneš and Valentina Janev
Pubblicato in: Proc. of 9th International Conference on Information Society Technology, Kopaonik, Serbia, March 10 – March 13, 2019, 2019, Pagina/e 165-170
Editore: Information Society Serbia

Mobile application for energy management in smart buildings

Autori: Lazar Berbakov, Marko Batid and Nikola Tomašević
Pubblicato in: Proc. of 9th International Conference on Information Society Technology (Vol. 2), Kopaonik, Serbia, March 10 – March 13, 2019, 2019, Pagina/e 240-243
Editore: Information Society Serbia

LAMBDA Learning and Consulting Platform,

Autori: Valentina Janev, Dejan Paunović, Emanuel Sallinger, Damien Graux
Pubblicato in: Proc. of 11th Int. Conference on eLearning, 24 - 25 September 2020, Belgrade, Serbia, 2020
Editore: Belgrade Metropolitan University

Electricity Balancing: Challenges and Perspectives

Autori: Valentina Janev, Goran Jakupović
Pubblicato in: Proc. 28th Telecommunications forum TELFOR 2020, Belgrade, Serbia, 2020
Editore: IEEE

Let the Margin SlidE ± for Knowledge Graph Embeddings via a Correntropy Objective Function

Autori: Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Reza Izanloo, Hamed Shariat Yazdi, Jens Lehmann
Pubblicato in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Pagina/e 1-9, ISBN 978-1-7281-6926-2
Editore: IEEE
DOI: 10.1109/ijcnn48605.2020.9207513

Multilingual Ontology Merging Using Cross-lingual Matching

Autori: Shimaa Ibrahim, Said Fathalla, Jens Lehmann, Hajira Jabeen
Pubblicato in: 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020, Pagina/e 113-120, ISBN 978-1-6654-1924-6
Editore: IEEE
DOI: 10.1109/wiiat50758.2020.00020

Deploying a Strategy to Unlock Big Data Research and Teaching Activities in the West Balkan Region

Autori: Damien Graux, Valentina Janev, Hajira Jabeen, Emanuel Sallinger
Pubblicato in: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2021, Pagina/e 491-497, ISBN 9781450382144
Editore: ACM
DOI: 10.1145/3430665.3456325

DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data

Autori: Hajira Jabeen, Eskender Haziiev, Gezim Sejdiu, Jens Lehmann
Pubblicato in: 2020 IEEE 14th International Conference on Semantic Computing (ICSC), 2020, Pagina/e 400-407, ISBN 978-1-7281-6332-1
Editore: IEEE
DOI: 10.1109/icsc.2020.00079

Ontology Enabled IoT System for Smart Buildings

Autori: Dusan Popadić, Lazar Berbakov, Marko Jelić, Marko Batić
Pubblicato in: Proc. of 10th International Conference on Information Society Technology, Kopaonik, Serbia, March 8 – March 11, 2020., 2020
Editore: Information Society Serbia

COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning

Autori: Bellomarini, Luigi; Benedetti, Marco; Gentili, Andrea; Laurendi, Rosario; Magnanimi, Davide; Muci, Antonio; Sallinger, Emanuel
Pubblicato in: Numero 1, 2020
Editore: SAO/NASA Astrophysics Data System

Preface for the Knowledge Graph Buildingand Large Scale RDF Analytics Workshops

Autori: Pieter Heyvaert, David Chaves-Fraga, Freddy Priyatna, Anastasia Dimou,Juan Sequeda, Hajira Jabeen, Damien Graux, Gezim Sejdiu, MohammedSaleem, and Jens Lehmann
Pubblicato in: Knowledge Graph Buildingand Large Scale RDF Analytics Workshops, ESWC 2019, Numero LNCS, volume 11503, 2019
Editore: Springer

3D Learning and Reasoning in Link Prediction Over Knowledge Graphs

Autori: Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 196459-196471, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3034183

IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA

Autori: Fathoni A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann, Hajira Jabeen
Pubblicato in: Expert Systems with Applications, Numero 147, 2020, Pagina/e 113135, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2019.113135

On the Language of Nested Tuple Generating Dependencies

Autori: Phokion G. Kolaitis, Reinhard Pichler, Emanuel Sallinger, Vadim Savenkov
Pubblicato in: ACM Transactions on Database Systems, Numero 45/2, 2020, Pagina/e 1-59, ISSN 0362-5915
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3369554

Exploratory spatio-temporal analysis of linked statistical data

Autori: Vuk Mijović, Valentina Janev, Dejan Paunović, Sanja Vraneš
Pubblicato in: Web Semantics: Science, Services and Agents on the World Wide Web, Numero 41, 2016, Pagina/e 1-8, ISSN 1570-8268
Editore: Elsevier BV
DOI: 10.1016/j.websem.2016.10.002

Using the Linked Data Approach in European e-Government Systems

Autori: Valentina Janev, Vuk Mijović, Sanja Vraneš
Pubblicato in: International Journal on Semantic Web and Information Systems, Numero 14 10.4018/IJSWIS.2018 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2018/2, 2018, Pagina/e 27-46, ISSN 1552-6283
Editore: Idea Group Publishing
DOI: 10.4018/ijswis.2018040102

Combined energy hub optimisation and demand side management for buildings

Autori: Marko Batić, Nikola Tomašević, Giovanni Beccuti, Turhan Demiray, Sanja Vraneš
Pubblicato in: Energy and Buildings, Numero 127, 2016, Pagina/e 229-241, ISSN 0378-7788
Editore: Elsevier BV
DOI: 10.1016/j.enbuild.2016.05.087

Correlated EEG Signals Simulation Based on Artificial Neural Networks

Autori: Nikola M. Tomasevic, Aleksandar M. Neskovic, Natasa J. Neskovic
Pubblicato in: International Journal of Neural Systems, Numero 27/05, 2017, Pagina/e 1750008, ISSN 0129-0657
Editore: World Scientific Publishing Co
DOI: 10.1142/S0129065717500083

Ontology-based facility data model for energy management

Autori: Nikola M. Tomašević, Marko Č. Batić, Luis M. Blanes, Marcus M. Keane, Sanja Vraneš
Pubblicato in: Advanced Engineering Informatics, Numero 29/4, 2015, Pagina/e 971-984, ISSN 1474-0346
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.aei.2015.09.003

Emergency Management in Critical Infrastructures: A Complex-Event-Processing Paradigm

Autori: Vuk Mijović, Nikola Tomašević, Valentina Janev, Mladen Stanojević, Sanja Vraneš
Pubblicato in: Journal of Systems Science and Systems Engineering, Numero 28/1, 2019, Pagina/e 37-62, ISSN 1004-3756
Editore: International Academic Publishers
DOI: 10.1007/s11518-018-5393-5

Arabic Linked Drug Dataset Consolidating and Publishing

Autori: Lackshen, G., Janev, V., Vraneš, S.
Pubblicato in: Computer Science and Information Systems, 2020, ISSN 1820-0214
Editore: ComSIS Consortium

An overview and comparison of supervised data mining techniques for student exam performance prediction

Autori: Nikola Tomasevic; Nikola Gvozdenovic; Sanja Vranes
Pubblicato in: Computers and Education, Numero 143, 2020, ISSN 0360-1315
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compedu.2019.103676

Knowledge Graphs and Big Data Processing

Autori: Janev, V., Graux, D., Jabeen, H., Sallinger, E., Vahdati, S., Pujić, D., Jelić, M., Tomašević, T., Batić, M., Vidal, M., Bellomarini, L., Endris, K., Sejdiu, G., Tasnim, M., Collarana, D.
Pubblicato in: 2020, ISBN 978-3-030-53199-7
Editore: Springer Nature Switzerland AG
DOI: 10.1007/978-3-030-53199-7

Citizen-Centric Linked Data Apps for Emergency Response Systems

Autori: Valentina Janev, Marko Dabović, Sanja Vraneš
Pubblicato in: Aviation and Airport Security: Management, Improvement Strategies and Future Challenges, 2017, Pagina/e 95-118, ISBN 978-1-53611-929-9
Editore: Nova Science Publishers

Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA)

Autori: Fahad Maqbool, Saad Razzaq, Jens Lehmann, Hajira Jabeen
Pubblicato in: Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part I, Numero 11643, 2019, Pagina/e 424-435, ISBN 978-3-030-26762-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-26763-6_41

Semantic Intelligence in Big Data Applications

Autori: Valentina Janev
Pubblicato in: The Smarter Web - Technologies and Applications Shaping the Future, 2021, ISBN 978-3-030-76386-2
Editore: Springer Nature Switzerland AG
DOI: 10.1007/978-3-030-76387-9

Reasoning Under Uncertainty in Knowledge Graphs

Autori: Luigi Bellomarini, Eleonora Laurenza, Emanuel Sallinger, Evgeny Sherkhonov
Pubblicato in: Rules and Reasoning - 4th International Joint Conference, RuleML+RR 2020, Oslo, Norway, June 29 – July 1, 2020, Proceedings, Numero 12173, 2020, Pagina/e 131-139, ISBN 978-3-030-57976-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-57977-7_9

Fantastic Knowledge Graph Embeddings and How to Find the Right Space for Them

Autori: Mojtaba Nayyeri, Chengjin Xu, Sahar Vahdati, Nadezhda Vassilyeva, Emanuel Sallinger, Hamed Shariat Yazdi, Jens Lehmann
Pubblicato in: The Semantic Web – ISWC 2020 - 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part I, Numero 12506, 2020, Pagina/e 438-455, ISBN 978-3-030-62418-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-62419-4_25

Embedding-Based Recommendations on Scholarly Knowledge Graphs

Autori: Mojtaba Nayyeri, Sahar Vahdati, Xiaotian Zhou, Hamed Shariat Yazdi, Jens Lehmann
Pubblicato in: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings, Numero 12123, 2020, Pagina/e 255-270, ISBN 978-3-030-49460-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49461-2_15

Open Data: Challenges and Opportunities for Serbia

Autori: Valentina Janev
Pubblicato in: Serbia: Current Political, Economic and Social Numeros and Challenges, 2019, ISBN 978-1-53615-060-5
Editore: Nova Science Publishers, Inc.

Implementation of Gender Equality Policies in Research and Development Organizations: Case Study from Serbia. In D. Vujadinović i Z. Antonijević (Eds.)

Autori: Valentina Janev, Sanja Vraneš
Pubblicato in: Gender Equality in Academia: Concepts, Practices and Challenges, 2019
Editore: University of Belgrade

Improving Access to Science for Social Good

Autori: Mehdi Ali, Sahar Vahdati, Shruti Singh, Sourish Dasgupta, Jens Lehmann
Pubblicato in: Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I, Numero 1167, 2020, Pagina/e 658-673, ISBN 978-3-030-43822-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-43823-4_52

EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts

Autori: Hajira Jabeen, Nargis Tahara, Jens Lehmann
Pubblicato in: Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings, Numero 11453, 2019, Pagina/e 156-172, ISBN 978-3-030-16666-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-16667-0_11

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