Hadi Fanaee-T , Ph.D., Docent

Associate Professor of Machine Learning, Halmstad University, Sweden

Explore my latest work Natural Learning

My Online Lectures: Mining Tensor Data (45Min) | Time Series Analysis (80min) | Anomaly Detection (100min)

Publons | Researchgate | Linkedin | ORCID | Scholar | DBLP | Scopus | DiVA| Loop

Short Bio: Hadi Fanaee-T is an Associate Professor (and Docent) in Machine Learning at Halmstad University in Sweden. He earned his Ph.D. in Computer Science with distinction from the Faculty of Science at the University of Porto, Portugal, in November 2015, supervised by Professor Joao Gama. His outstanding doctoral work led to him being named a finalist for the ERCIM Cor Baayen Young Researcher Award in 2017. Prior to his current position, he spent three years as a postdoctoral fellow at the University of Oslo, Norway, specializing in high-dimesnional data analysis. Before that, he worked as a postdoctoral researcher at the INESC TEC research institute in Portugal, contributing to the European FP7 Project "MAESTRA." His primary research interests include machine learning, data mining, tensor decompositions, and time series analysis. He has authored over 30 papers published in reputable journals and conferences. Additionally, he regularly serves as a Program Committee member for prestigious conferences like IJCAI, AAAI, and ECML-PKDD, and he reviews submissions for high-impact journals such as TDKE, TKDD, DAMI, ML, KAIS, KBS, and CSUR. He also serves as a member of the Editorial Board of the journal Frontiers in Big Data (Data Science Section). He has collaborated in advising numerous Ph.D. and Master's students.

Research Interests

• Sparse Machine Learning
• Categoization Theories
• Tensor Analysis
• Anomaly Detection
• Time series Analysis

Education & Training

• Feb 2017-Feb 2020: Postdoctoral Fellow, University of Oslo, Norway
• Dec 2015-Jan2017: Postdoctoral Fellow, European FP7 Project "MAESTRA", INESC TEC, Porto, Portugal
• Nov 2015, PhD in Computer Science (with distinction), University of Porto, Portugal

Students

1. Erik Janerdal & David Dimovski (MSc student)
   • Thesis: SAX meets Word2vec: A new paradigm in the time ser= ies forecasting (2023, Concluded)
   • Halmstad University, Sweden
2. Arunas Kalinauskas & Dennis Slepov (MSc student)
• Thesis: Post-Correction of time series forecasts (2023, Concluded)
• Halmstad University, Sweden
3. Noorali Raeeji Yanehsari (MSc student)
• Thesis: Towards Virtual Sensors Via Tensor Completion (2021, Concluded)
• Halmstad University, Sweden
4. Chandraprakash Sahu and and Ahamed Buhari (MSc student, Concluded)
• Thesis: Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data. (2022, Concluded)
• Halmstad University, Sweden
5. Marcello Feroce (MSc student, Co-advisor with Prof. Jörg Ott and Prof. Wolfgang Wörndl)
• Thesis: Culture-Based Opinion Mining in the Tourism Domain (09/2019-04/2020, Concluded)
• Technical University of Munich, Munich, Germany
6. Chi Zhang (PhD student, Co-advising with Prof. Magne Thoresen)
• Subject: Tensor-based methods for feature extraction from Electronic Health Records(04/2019-02/2020)
• University of Oslo, Norway
7. Maryam Amoozegar (PhD student, Co-advisor with Prof. Behrouz Minaei-Bidgoli and Prof. Mansoor Rezghi)
• Thesis: Anomaly detection in dynamic graphs using algorithms for tensor decomposition (04/2019-07-2021, Concluded)
• Iran University of Science and Technology, Tehran, Iran
8. Sofia da Silva Fernandes (PhD student, Co-advisor with Prof. Joao Gama)
• Tensor-based approaches for Evolving Social Network Analysis (06/2016-06/2020, Concluded)
• Department of Applied Mathematics, University of Porto, Portugal
9. Hamid Eslami Nosratabadi (Research Fellow, Co-advisor with Prof. Joao Gama)
• Mobility Mining using Nonnegative Tensor Factorization (06/2016-11/2016, Concluded)
• INESC TEC, Porto, Portugal
10. Roberto Corizzo (Visting PhD student, Co-advisor with Prof. Michelangelo Ceci and Prof. Joao Gama)
• Tensor models for power forecasting (09/2016-12/2016, Concluded)
• Department of Computer Science, University of Bari, Italy
  
  

Invited Talk

• Tensor decompositions in Data Science, Nov 2019, UM6P, Morocco.
• Tensor decomposition and applications, 24 March 2017, Department of Biostatistics, University of Oslo, Norway.
• Mining Tensor Data, 26 Jan 2017, Department of Computer Engineering, Bilkent University, Ankara, Turkey
• Mining Tensor Data, Summer school on Big and Complex Data, 4-9 September 2016, Ohrid, Macedonia ( Videolectures link )
• Tensor data analysis, PhD course on Knowledge Discovery from Databases, Fall 2016, Faculty of Informatics, University of Minho, Portugal
• Tensor data analysis, Master’s course on Advanced data mining, Spring 2015, Faculty of Economics of University of Porto, Portugal
• Application of Tensor decompositions in data mining, Master’s course on Advanced data mining, Spring 2016, Faculty of Economics of University of Porto, Portugal
• Application of Tensor decompositions in data mining, Master’s course on Advanced data mining Spring 2016, Faculty of Science of University of Porto, Portugal

Scientific Services

Organization of Conference/Workshops

• Co-Organizer, Special session on "Tensor Analytics for Emerging Applications" @ IEEE-DSAA 2021 (Rank A Conference)

Editorial Board

• Member of Editorial Board, Journal Frontiers in Big Data (2021-) (Indexed in Web of Sicence, Norwegian Level 1)
• Guest Editor, Special Issue "Advances in Artificial Intelligence: Machine Learning, Data Mining and Data Sciences", MDPI journal Appied Sciences

Program Committee member

1. 22rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 18-22 Sept 2023, Turin, Italy (ECML-PKDD 2023)
2. 37th AAAI Conference on Artificial Intelligence, 7-14 Feb 2023, Washington DC, USA (AAAI 2023)
3. 10th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2023)
4. 21st Symposium on Intelligent Data Analysis, 12-14 April 2023, Louvain-la-Neuve, Belgium. (IDA 2023)
5. 10th International Workshop on New Frontiers in Mining Complex Patterns (@ECML-PKDD 2022), Grenoble, France (NFMCP 2022)
6. 3rd Workshop on IoT Streams for Predictive Maintenance @ ECML-PKDD 2022 (IoTStream 2022)
7. 9th IEEE International Conference on Data Science and Advanced Analytics, Shenzhen, China (IEEE DSAA 2022)
8. 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Grenoble, France (ECML-PKDD 2022)
9. 20th Symposium on Intelligent Data Analysis, April 20-22, Rennes, France (IDA 2022)
10. 36th AAAI Conference on Artificial Intelligence, 22Feb-1 March 2022, Vancouver, Canada(AAAI 2022)
11. 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Online (ECML-PKDD 2021)
12. Special Session on Data-Driven Predictive Maintenance for Industry 4.0 @ IEEE DSAA 2021 (XPdM 2021)
13. 19th Symposium on Intelligent Data Analysis, April 26-28, Online (IDA 2021)
14. 36th Annual ACM Symposium on Applied Computing Data Streams Track, Gwangju, Korea, March 22 - March 26, 2021 (ACM SAC 2021)
15. 35th AAAI Conference on Artificial Intelligence, 2-9 Feb 2021(AAAI 2021) (Among 25% top PC members)
16. 3rd Workshop on Online Recommender Systems and User Modeling (@RecSys 2020), September 25th, Rio de Janeiro, Brazil (ORSUM 2020)
17. 23rd International Conference on Discovery Science, October, 19-21, 2020, Thessaloniki, Greece, (DS 2020)
18. 2nd International Workshop on IoT Stream for Data Driven Predictive Maintenance (@ECML/PKDD 2020), 14 September 2020, Ghent, Belgium (IoT Stream 2020)
19. 29th International Joint Conference on Artificial Intelligence, July 11-17, 2020, Yokohama, Japan (IJCAI 2020)
20. 34th AAAI Conference on Artificial Intelligence, Feb 7, 2020 - Feb 12, 2020, Hilton New York Midtown, New York, USA (AAAI 2020)
21. 35th Annual ACM Symposium on Applied Computing Data Streams Track, March 30 - April 3, 2020, Brno, Czech Republic (ACM SAC 2020)
22. 5th International Conference on Big Data, Small Data, Linked Data and Open Data, February 23, 2020 to February 27, 2020 - Lisbon, Portugal (ALLDATA 2020)
23. 2nd International Conference on Big Data Engineering and Technology, Jan 3-5, 2020, Singapore (BDET 2020)
24. 22nd International Conference on Discovery Science, October 28-30, 2019, Split, Croatia (DS 2019)
25. 33rd AAAI Conference on Artificial Intelligence, January 27 – February 1, 2019, Hawaii, USA (AAAI 2019)
26. 28th International Joint Conference on Artificial Intelligence 2019, August 10-16, 2019, Macao, China (IJCAI 2019)
27. 8th International Workshop on New Frontiers in Mining Complex Patterns (@ECML-PKDD 2019), September 16-20, 2019, Wùzburg, Germany (NFmcp 2019)
28. 1st International Workshop on IoT Stream for Data Driven Predictive Maintenance (@ECML/PKDD 2019), September 16-20, 2019, Wùzburg, Germany (IoT Stream 2019)
29. 5th International Conference on Big Data, Small Data, Linked Data and Open Data, March 24-28, 2019 - Valencia, Spain (ALLDATA 2019)
30. 2nd Workshop on Online Recommender Systems and User Modeling (@RecSys 2019), Sep 2019, Copenhagen, Denmark (ORSUM 2019)
31. 7th International Workshop on New Frontiers in Mining Complex Patterns (Conj. ECML-PKDD 2018), September 10-14, 2018, Dublin, Ireland (NFmcp 2018)
32. 27th International Joint Conference on Artificial Intelligence 2018, July 13-19, 2018, Stockholm, Sweden (IJCAI 2018) (+ IJCAI 2018 Sister Conference Best Paper Track)
33. 2nd International Conference on Big Data Engineering and Technology, August 24-26, 2018, Chengdu, China (BDET 2018)
34. 24th International Symposium on Methodologies for Intelligent Systems, Oct 28-31, 2018, 2018, St. Raphael Resort, Limassol, Cyprus (ISMIS 2018)
35. 33rd ACM SIGAPP Symposium On Applied Computing - Data Streams Track (ACM SAC 2018)
36. 1st Workshop on Online Recommender Systems and User Modeling, April 23rd, Lyon, France (ORSUM 2018)
37. 21st CSI International Computer Science and Software Engineering Conference, Shiraz, Iran October 25-27, 2017. (CSSE 2017)
38. 20st IEEE Intelligent Transportation Systems Conference 2017, Yokohama, JAPAN, October 16 - 19, 2017(IEEE ITSC 2017)
39. 6th International Workshop on New Frontiers in Mining Complex Patterns, ECML-PKDD 2017 (NFMCP 2017)
40. 32nd ACM SIGAPP Symposium On Applied Computing (ACM SAC 2017)
41. 4th IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2017)
42. 23rd International Symposium on Methodologies for Intelligent Systems (ISMIS 2017)
43. 1st International Workshop on Analytics on Evolving Networks, The Hague, Netherlands, 29 August 2016 (AEN 2016)
44. 1st International Workshop on High Velocity Mobile Data Mining, June 2016, Porto, Portugal (MobDM 2016)
45. 25th International Joint Conference on Artificial Intelligence 2015, July 25-31, 2015, Buenos Aires, Argentina (Senior PC Member) (IJCAI 2015)
46. 26st European Conference on Machine Learning and Knowledge Discovery, Porto, Portugal, September 7–11, 2015 (ECMLPKDD'2015 )
47. 30th ACM/SIGAPP Symposium On Applied Computing, April 13 - 17, 2015, Salamanca, Spain (SAC2015)
48. 25th European Conference on Machine Learning and Knowledge Discovery, September 15-19, 2014. Nancy, France (ECMLPKDD'2014)
49. 26th IEEE International Symposium on Computer-Based Medical Systems, June 20-22, Porto, Portugal (CBMS 2013).
50. 3rd International workshop on Ubiquitous Data Mining, 23rd International Joint Conference on Artificial Intelligence (UDM'2013), Beijing, China, August 3, 2013
51. 24st European Conference on Machine Learning and Knowledge Discovery, Prague 23‒27 September 2013 (ECMLPKDD'2013)
52. 2nd International workshop on Ubiquitous Data Mining , 20th European Conference on Artificial Intelligence (UDM'2012), Montpellier, France, August 27 - 31, 2012.
53. 7st Doctoral Symposium on Informatics Engineering (DSIE'2012), 26-27 January 2012, Porto , Portugal.
    
    

Journal Ad-hoc Reviewer

1. Engineering Applications of Artificial Intelligence, Elsevier
2. ACM Transactions on Knowledge Discovery from Data, ACM
3. IEEE Transactions on Knowledge and Data Engineering, IEEE
4. Knowledge and Information Systems , Springer
5. Machine Learning , Springer.
6. Data Mining and Knowledge Discovery, Springer
7. Journal of Intelligent Information Systems, Springer
8. Statistical Analysis and Data Mining, Wiley
   
9. Knowledge-Based Systems, Elsevier
10. IEEE/ACM Transactions on Networking, IEEE/ACM
11. ACM Computing Surveys, ACM
12. Journal of Intelligent and Fuzzy Systems, IOS Press
13. Fuzzy Sets and Systems, Elsevier
14. Progress in Artificial Intelligence, Springer.
15. International Journal of Distributed Sensor Networks, SAGE
16. International Journal of Remote Sensing , Taylor & Francis
17. Computer Methods and Programs in Biomedicine, Elsevier
18. Computer Science and Information Systems journal, ComSIS
19. International Journal of Applied Mathematics and Computer Science, AMCS

Conference Reviewer

• ACM SIGKDD conference on knowledge discovery and data mining (KDD'2012, KDD'2015 and KDD'2016 )
• INNS Big Data 2015 (INNS-BigData'2015), San Francisco, USA, 8-10 August 2015
• The 2014 International Conference on Data Science and Advanced Analytics (DSAA’2014), Oct 30 - Nov 1, 2014 Shanghai , China
• 1st International Workshop on Machine Learning for Urban Sensor Data (SenseML 2014)
• 2012 Brazilian Symposium on Neural Networks (SBRN'2012), Curitiba, Parana, Brazil,October 20-25, IEEE, 2012
• 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI'2012), Kuching, Sarawak, Malaysia, September 3 - 7, Springer, 2012.
  

Honors & Awards

• Finalist - 2017 ERCIM Cor Baayen Young Researcher Award
• Top Reviewer Award - Publons Peer Review Awards 2017
• PhD Scholarship, Feb 2011, MAP-i doctoral program in computer science
• Best PHP Class Award, PHP Classes Repository, July 2012
• 175th place among over 7500 participants , Annual National Universities Entrance Exam for Masters Degree, Iran , Sep 2008
  
  

Teaching

• Halmstad University
• Principles and Techniques for Data Science (BSc, Course Examiner and Responsible)
• Data Mining (Msc, Course Examiner and Responsible)
• Communication in Data Science (BSc, Course Examiner and Responsible)
• Applied Data Mining (MSc, Partial Teaching)
• AI for Executives (stand-alone, Course Examiner and Responsible)
• Natural Language Processing (BSc, Course Examiner and Responsible, from 2025)

Publications

Journals

1. Sofia Fernandes, Hadi Fanaee-T; João Gama, WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks, Machine Learning, 2021 [Code]
2. Chi Zhang, Hadi Fanaee-T, Magne Thoresen, Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition, Data Mining and Knowledge Discovery, Vol. 35, PP. 1760-1784, 2021.
3. Sofia Fernandes, Hadi Fanaee-T; João Gama, Tensor decomposition for analysing time-evolving social networks: an overview, Artificial Intelligence Review, 2020.
4. Roberto Corizzo; Michelangelo Ceci, Hadi Fanaee-T, Joao Gama, Multi-aspect Renewable Energy Forecasting , Information Sciences, Vol. 546, PP. 701-722, 2021. [Code]
5. Sofia Fernandes, Hadi Fanaee-T; João Gama, NORMO: a new method for estimating the number of components in CP tensor decomposition , Engineering Applications of Artificial IntelligenceVol. 96, 103926, 2020. [Code].
6. Maryam Amoozegar, Behrouz Minaei-Bidgoli, Mansoor Rezghi, Hadi Fanaee-T, Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks , Engineering Applications of Artificial Intelligence, Vol. 94, 103741, 2020.
7. Sami Ullah, Nuru Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Hadi Fanaee-T, Alamgir Khalil , An Eigenspace Method for Detecting Space-Time Disease Clusters with Unknown Population-Data , Computers, Materials & Continua, Vol.70, No.1, pp.1945-1953, 2022
8. Sami Ullah, Hanita Daud, Nooraini Zainuddin, Sarat C. Dass, Alamgir Khalil, Hadi Fanaee-T, Ilyas Khan, Space-Time Cluster Analysis of Accidental Oil Spills in Rivers State, Nigeria, 2011–2019, Computers, Materials & Continua, Vol.66, No.3, pp.3065-3074, 2021.
9. S. Ullah, H. Daud, S. Dass, H. Fanaee-T, H. Kausarian, A. Khalil, Space-time clustering characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015-2019, International Journal of Environmental Research and Public Health, 17(4), 1413, 2020.
10. Hadi Fanaee-T and Magne Thoresen, Performance evaluation of methods for integrative dimension reduction, Information Sciences, Vol. 493, PP. 105-119, 2019.
11. Hadi Fanaee-T and Magne Thoresen, Multi-insight visualization of multi-omics data via ensemble dimension reduction and tensor factorization, Bioinformatics, Vol. 35, No. 10, 2019. [Code]
12. Sofia Fernandes, Hadi Fanaee-T and João Gama, Dynamic graph summarization: a tensor decomposition approach, Data Mining and Knowledge Discovery, Vol 32, No. 1397, 2018. [Code]
13. S. Ullah, H. Daud, S. Dass, H. Fanaee-T, A. Khalil, An Eigenspace approach for detecting multiple space-time disease clusters: application to measles hotspots detection in Khyber-Pakhtunkhwa, Pakistan, Plos ONE,13(6), 2018.
14. Hadi Fanaee-T, Joao Gama, Tensor-based anomaly detection: An interdisciplinary survey, Knowledge-Based Systems, Vol 98, PP. 130-147, 2016.
15. Hadi Fanaee-T, Joao Gama, Event detection from traffic tensors: a hybrid model, Neurocomputing, Volume 203, August 2016, Pages 22-33, 2016. [Code]
16. Hadi Fanaee-T, Joao Gama, Multi-aspect-streaming tensor analysis, Knowledge-Based Systems, Vol 89, PP. 332-345, 2015. [Code]
17. Hadi Fanaee-T, Joao Gama, Eigenspace Method for Spatiotemporal Hotspot Detection, Expert Systems, PP. 454-464, Vol. 32, No. 3, 2015.
18. Hadi Fanaee-T, Joao Gama, EigenEvent: An Algorithm for Event Detection from Complex Data streams in Syndromic Surveillance , Intelligent Data Analysis , PP. 597-616, Vol. 19, No. 3, 2015.[Code]
19. Hadi Fanaee-T, Joao Gama, Event Labeling Combining Ensemble Detectors and Background Knowledge , Progress in Artificial Intelligence, PP. 113-127, Vol 2, No.2-3, 2014.
20. Hadi Fanaee-T, Mehran Yazdi, A Semantic VSM-Based Recommender System, International Journal of Computer Theory and Engineering, PP. 331-336, Vol. 5, No. 2, 2013.

Conferences

1. Hadi Fanaee-T, 1NN-DTW ARIMA LSTM: A New Ensemble for Forecasting Multi-domain/Multi-context Time Series, The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2023)
2. Dennis Slepov, Arunas Kalinauskas, Hadi Fanaee-T, A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios, 26th International Conference on Discovery Science (DS'2023)
3. Jamshidi, S., Nowaczyk, S., Fanaee-T, H., Rahat, M. , A Systematic Approach for Tracking the Evolution of XAI as a Field of Research, IotStream@ECML PKDD 2022
4. Hadi Fanaee-T, Tensor Completion Post-Correction, 20th Symposium on Intelligent Data Analysis (IDA'2022)
5. Noorali Raeeji Yanehsari, Hadi Fanaee-T, Mahmoud Rahat, A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors", 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2021)
6. Hadi Fanaee-T, Magne Thoresen, Iterative Multi-Mode Discretization: Applications to Co-Clustering, 23rd International Conference on Discovery Science (DS'2020), [Code]
7. Hadi Fanaee-T, Mohamed-Rafik Bouguelia, Mahmoud Rahat, Jonathan Blixt and Harpal Singh, CycleFootprint: A Fully Automated Method for Extracting Operation Cycles from Historical Raw Data of Multiple Sensors, IoTStream@ECMLPKDD 2020 , [Code]
8. Sofia Fernandes, Hadi Fanaee-T and João Gama, Evolving social networks analysis via tensor decompositions: from global event detection towards local pattern discovery and specification, 22nd International Conference on Discovery Science (DS'2019)
9. Sofia Fernandes, Hadi Fanaee-T and João Gama, The Initialization and Parameter Setting Problem in Tensor Decomposition-Based Link Prediction, IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017), pp. 99-108.
10. Hamid Eslami Nosratabadi, Hadi Fanaee-T, Joao Gama, Mobility Mining using Nonnegative Tensor Factorization, 18th EPIA Conference on Artificial Intelligence (EPIA'2017), pp.321-330, 2017.
11. Z. Souzanchi-k, Hadi Fanaee-T, H. Yaghoubi, M-R Akbarzadeh-T, A multi Adaptive Neuro Fuzzy Inference System for short term load forecasting by using previous day features, In the proceedings of 2010 IEEE International Conference On Electronics and Information Engineering (ICEIE'2010), vol.2, no., pp.V2-54,V2-57, 1-3 Aug. 2010. DOI: 10.1109/ICEIE.2010.5559714
12. Hadi Fanaee-T, Márcia D. B. Oliveira, João Gama, Simon Malinowski, Ricardo Morla, Event and Anomaly Detection Using Tucker3 Decomposition, In Proceedings of 20th European Conference on Artificial Intelligence (ECAI'2012)- UDM Workshop, CEUR Workshop Proceedings , Vol 960, PP. 8-12, 2012, RWTH Aachen, Germany. DOI:10.13140/RG.2.1.2370.9286
13. Hadi Fanaee-T, Finding the best ranking model for spatial objects, In Proceedings of 20th European Conference on Artificial Intelligence (ECAI'2012)- UDM Workshop, CEUR Workshop Proceedings , Vol 960, PP. 58-60, 2012, RWTH Aachen, Germany. DOI:10.13140/RG.2.1.2895.2164
14. Hadi Fanaee-T, Joao Gama, An Eigenvector-based Hotspot detection, In the proceedings of 16th Portuguese Conference on Artificial Intelligence (EPIA'2013), Acores, Portugal, PP. 290-301, 9-12 September 2013. ISBN: 978-989-95489-1-6. DOI:10.13140/RG.2.1.4992.3686
15. Hadi Fanaee-T, Mehran Yazdi, A Novel Ontology-based Recommender System for online forums , In Proceedings of 2011 3rd IEEE International Conference on Information Management and Engineering (ICIME'2011), PP. 183-189, Vol.5, May 21-22, 2011, Zhengzhou, China. ISBN: 978-981-07-2866-3, DOI:10.13140/RG.2.1.2633.0724
16. Hadi Fanaee-T, Ana Maria Tome , Jose Manuel Matos Moreira, Ranking of Spatial Polygons based on their neighbor facilities quality , In Proceedings of 17th Portuguese Conference on Pattern Recognition (RecPad'2011) , 28 Oct 2011, Porto , Portugal. ISBN: 978-989-8331-15-1. DOI:10.13140/RG.2.1.3288.4327
17. Hadi Fanaee-T, Marcia Oliveira , Joao Gama, Anomaly detection from telecommunication data using three-way analysis, In Proceedings of 20th Congress of the Portuguese Statistical Society (SPE'2012), PP. 557-562, Vol.1 , 26-29 September 2012, Porto, Portugal. ISBN: 978-972-8890-32-2. DOI:10.13140/RG.2.1.4337.0082
18. Hadi Fanaee-T, Spatio-Temporal Clustering Methods Classification, In Proceedings of Doctoral Symposium on Informatics Engineering (DSIE'2012), PP. 199-209, Vol.1, 26-27 January 2012, Porto , Portugal. DOI:10.13140/RG.2.1.3812.7204

Thesis and Pre-prints

1. Hadi Fanaee-T, Tensor-based Event Detection, PhD Thesis, Faculty of Sciences of University of Porto, Portugal, Nov 2015.
2. Hadi Fanaee-T, Joao Gama, SimTensor: A synthetic tensor data generator, arXiv preprint arXiv:1612.03772 (2016). [Code]

Data Sets

1. Hadi Fanaee-T, Bike Sharing Dataset, UCI Machine Learning Repository, [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

Software

1. SimTensor Software Project ( Tensor data generator for evaluation of tensor factorization algorithms)- Github link