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<!DOCTYPE html>
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<meta name="author" content="Marian-Andrei Rizoiu" />
<meta name="keywords" content="research, data mining, machine learning, semi-supervised clustering, temporal clustering, topic extraction, data representation, feature construction, ontology construction, image numerical representation, online privacy, self-exciting models, popularity models, journal articles, conference proceedings, teaching, courses, programming, operating systems, object oriented programming, numerical learning" />
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<h1><a href="#main">Marian-Andrei Rizoiu</a></h1>
<h3>Professional Webpage</h3>
</hgroup>
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<ul>
<!-- <li><a target="_blank" href="#main">Home</a></li>-->
<li><a href="#publications">Publications</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#grants">Grants & Funding</a></li>
<li><a href="#teaching">Teaching</a></li>
<li><a href="#biography">Bio</a></li>
<li><a href="#contact">Contact</a></li>
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<h1>Marian-Andrei Rizoiu.</h1>
<p class="intro" >
I am an Associate Professor leading the <a target="_blank" href="https://www.behavioral-ds.science/">Behavioral Data Science lab</a> at the University of Technology Sydney.
My interdisciplinary research crosses computer and social sciences, blending psycholinguistics, digital communication and stochastic modelling to understand human attention dynamics in the online environment, the emergence of influence and opinion polarization.
I am the recipient of the prestigious Excellence Award and Academic of the Year at the <a target="_blank" href="https://www.defenceconnect.com.au/australian-defence-industry-awards/winners/2023-winners-and-finalists">2023 Australian Defence Industry Awards</a>.
I currently lead grants worth $1.8 million from the Commonwealth of Australia to detect and model the spread of mis- and disinformation and its weaponized counterparts – information and influence operations.
<!-- I am a Senior Lecturer in Behavioral Data Science with the <a target="_blank" href="https://www.uts.edu.au/data-science-institute">Data Science Institute</a> at the <a target="_blank" href="https://www.uts.edu.au/">University of Technology Sydney<a/>, where I lead the <a target="_blank" href="https://www.behavioral-ds.science/">Behavioral Data Science lab</a>, studying human attention dynamics in the online environment. I am interested in stochastic behavioural modelling of human actions online, at the intersection of applied statistics, artificial intelligence and social data science.-->
<!-- I am a Lecturer in -->
<!-- My main research interest is to develop behavioural models for human actions online, at the intersection of applied statistics, artificial intelligence and social data science, with an interdisciplinary focus on social influence and information diffusion in online communities.-->
<!-- My main research interests are Stochastic Behavioural Modelling, Online Information Diffusion, Theoretical Popularity Modelling, Online Privacy, Social Networks, Machine Learning, Data Mining and Big Data.-->
<!-- I am also lecturing, see more about my <a href="#teaching">teaching</a>.-->
</p>
<p class="intro" id="contact"></p>
<!-- Putting the contact id here so that it jumps correctly when chosen in the menu -->
<!-- <p class="intro" id="contact">I am looking for PhD students! Scholarships available: <a target="_blank" href="documents/research/offers/multi-variate-interval-censored-modeling.pdf">subject1</a>, <a target="_blank" href="documents/research/offers/spatial-temporal-information-diffusion-modelling-extremist.pdf">subject2</a>-->
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<!-- <div id="ictai2012" class="nivo-html-caption">
Winning the Excellence Award and Academic of the Year at the <a target="_blank" href="https://www.defenceconnect.com.au/australian-defence-industry-awards/winners/2023-winners-and-finalists">2023 Australian Defence Industry Awards</a>
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<h2>Research</h2>
<p>My research has made several key contributions to online popularity prediction, real-time tracking and countering disinformation campaigns, and understanding shortages and mismatches in labour markets.</p>
<p>
First, I developed theoretical models for online information diffusion, which can account for complex social phenomena.
My models answer questions such as “Why did X become popular, but not Y?” and “How can problematic content be detected based solely on how it spreads?”.
Second, I built skill-based real-time occupation transition recommender systems.
These systems link social media predicted personality profiles with worker occupation attributes to construct personalised career recommendations.
</p>
<p>See more about my <a target="_blank" href="#research">research</a>.</p>
</section>
<section class="col mid">
<h2>News</h2>
<p>
See the <a target="_blank" href="https://www.behavioral-ds.science/news/">lab's news page</a> for more recent news.
</p>
<p>
2019-10: Together with Amelia Johns and Fracesco Bailo, I was awarded a prestigious Facebook grant on Using computational modelling of user behaviour and machine learning to counter the diffusion of hate speech across social media.
</p>
<p>
2019-10: I wrote a piece for the influential media outlet The Conversation entitled <a href="https://theconversation.com/can-hiding-likes-make-facebook-fairer-and-rein-in-fake-news-the-science-says-maybe-124671">Can hiding likes make Facebook fairer and rein in fake news? The science says maybe</a>, which received significant attention on social media (Twitter & LinkedIn), from the FEIT and UTS media departments. Subsequently, I was interviewed <a href="http://radioadelaide.org.au/2019/10/10/hiding-the-number-of-likes-on-social-media/">on the radio</a> about the work and the phenomenon.
</p>
<!-- <p>-->
<!-- 2019-04: <a target="_blank" href="https://methods.sagepub.com/video/srmpromo/ltprsh/studying-online-video-popularity-with-stochastic-computational-models">My interview with Sage Research Methods</a> just got published, in which I discuss using stochastic computational models to study the popularity of online videos. -->
<!-- </p>-->
<!-- <p>-->
<!-- 2019-03: I am doing a one month research visit at the French CNRS <a target="_blank" href="https://laboratoirehubertcurien.univ-st-etienne.fr/en/index.html">laboratory Hubert Curien<a/>, where I will be working with <a target="_blank" href="https://perso.univ-st-etienne.fr/largeron/">Christine Largeron<a/> on linking the dynamics online communities and information diffusion processes.-->
<!-- </p>-->
<!-- <p>-->
<!-- 2019-01: I just joined the <a target="_blank" href="https://www.uts.edu.au/about/faculty-engineering-and-information-technology">Faculty of Engineering and IT</a> in the <a target="_blank" href="https://www.uts.edu.au/">University of Technology Sydney<a/> as a Lecturer in Computer Science.-->
<!-- </p> -->
<!-- <p>-->
<!-- 2018-09: We've got the attention of the media! Both the <a target="_blank" href="https://www.businessinsider.com.au/twitter-bots-first-us-presidential-debate-anu-scientists-2018-9"><strong>Business Insider</strong></a> and the <a target="_blank" href="http://www.anu.edu.au/news/all-news/anu-algorithms-define-bot-influence-in-2016-us-election"><strong>ANU Reporter</strong></a> wrote about our findings concerning the bot influence in the 2016 US Elections.-->
<!-- </p> -->
<!-- <p>-->
<!-- 2018-06: Just returned from <a target="_blank" href="http://www.icwsm.org/2018/index.php"><strong>ICWSM 2018</strong></a> in Palo Alto, California, where our team presented three papers. I also visited and gave invited talks at <a target="_blank" href="https://research.netflix.com/">Netflix Research</a> and <a target="_blank" href="https://research.fb.com/">Facebook Core Research</a>. See more details <a target="_blank" href="#grants">here</a>.-->
<!-- </p> -->
<!-- <p>-->
<!-- 2018-05: After the <a target="_blank" href="https://www2018.thewebconf.org/"><strong>WWW 2018</strong></a> conference in Lyon, France, I have visited for a week the <a target="_blank" href="https://www.mpi-sws.org/">Max Planck Institute for Software Systems</a> in Kaiserslautern, Germany, hosted by the team of <a target="_blank" href="https://people.mpi-sws.org/~manuelgr/">Manuel Gomez Rodriguez</a>, one of the top groups world-wide in stochastic modeling.-->
<!-- </p> -->
<!-- <p>-->
<!-- 2018-03: Three of our papers just got accepted at <a target="_blank" href="http://www.icwsm.org/2018/index.php"><strong>ICWSM 2018</strong></a>, the top computational social science conference.-->
<!-- Rendez-vous in Stanford, California, US.-->
<!-- </p>-->
<!-- <p>-->
<!-- 2018-01: Our slick-looking HIPie popularity explorer tool will be showcased at the <a target="_blank" href="https://www2018.thewebconf.org/"><strong>WWW 2018</strong></a> conference in Lyon, France.-->
<!-- Check out it's <a target="_blank" href="https://www.youtube.com/watch?v=Kc7awEMdNtA">video tutorial</a>, <a target="_blank" href="https://github.com/computationalmedia/hipdemo">Github repository</a> and <a target="_blank" href="http://hipdemo.ml/">live installation</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- 2017-12: Our paper "SIR-Hawkes: on the Relationship Between Epidemic Models and Hawkes Point Processes" has just been accepted at the -->
<!-- <a target="_blank" href="https://www2018.thewebconf.org/"><strong>WWW 2018</strong></a> conference in Lyon, France!-->
<!-- </p>-->
<!-- <p>-->
<!-- 2016-05-03: Check out our brand new <a target="_blank" href="http://cm.cecs.anu.edu.au"><strong>Computational Media lab</strong> page</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- 2016-03-16: Our work got the attention of Wikimedia Research! I presented "Evolution of Privacy Loss on Wikipedia" in the March session of the <a target="_blank" href="https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#March_2016"><strong>Monthly Wikimedia Research Showcase</strong></a>. See recording <a target="_blank" href="https://youtu.be/Xle0oOFCNnk">here</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- 2015-10: Our paper "Evolution of Privacy Loss on Wikipedia" has just been accepted at the -->
<!-- <a target="_blank" href="http://www.wsdm-conference.org/2016/"><strong>WSDM 2016</strong></a> conference in San Francisco!-->
<!-- </p>-->
<!-- <p>-->
<!-- 2015-09: Our paper "ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths" has been accepted for publication with the journal of -->
<!-- <a target="_blank" href="http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10618"><strong>Data Mining and Knowledge Discovery</strong></a>-->
<!-- </p>-->
<!-- <p>-->
<!-- This year 2015, I give lectures about Machine Learning and Social Media and Sentiment Analysis in the context of the -->
<!-- <a target="_blank" href="http://programsandcourses.anu.edu.au/course/comp4650">Document Analysis course</a>,-->
<!-- with the <a target="_blank" href="http://cs.anu.edu.au/">Research School of Computer Science</a> at the ANU.-->
<!-- </p>-->
<!-- <p>-->
<!-- Since May 2014, I am at the <a target="_blank" href="http://www.nicta.com.au/">NICTA lab</a>, Canberra, Australia, as a researcher, -->
<!-- working with <a target="_blank" href="http://web.media.mit.edu/~cebrian/">Manuel Cebrian</a>, <a target="_blank" href="http://users.cecs.anu.edu.au/~xlx/">Lexing Xie</a> -->
<!-- and <a target="_blank" href="https://www.nicta.com.au/people/pvanhentenryck">Pascal Van Hentenryck</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- Starting from May 2014, I will be at the <a target="_blank" href="http://www.nicta.com.au/">NICTA lab</a>, Canberra, Australia, in a research visit and I will -->
<!-- be working with <a target="_blank" href="http://web.media.mit.edu/~cebrian/">Manuel Cebrian</a> and <a target="_blank" href="https://www.nicta.com.au/people/pvanhentenryck">-->
<!-- Pascal Van Hentenryck</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- On the 24th of June, I defended my PhD thesis, entitled "Semi-Supervised Structuring of Complex Data", and I obtained -->
<!-- the title of PhD from the University Lumière Lyon 2. The thesis manuscript is available <a target="_blank" href="documents/research/papers/RIZOIU_PHD_Thesis-2013.pdf">here</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- In July, I will be at the <a target="_blank" href="http://www.nicta.com.au/">NICTA lab</a>, Australia, in a research visit and I will -->
<!-- be working with <a target="_blank" href="http://tiberiocaetano.com/">Tiberio Caetano</a>.-->
<!-- </p>-->
<!-- <p>-->
<!-- In August, I will participate at the Doctoral Consortium of the <a target="_blank" href="http://ijcai13.org/">International Joint -->
<!-- Conference on Artificial Intelligence</a>. My submission entitled -->
<!-- <a target="_blank" href="documents/research/papers/RIZOIU_IJCAI-DC-2013.pdf">"Semi-Supervised Structuring of Complex Data"</a>, has -->
<!-- been accepted for publication in the Proceedings of IJCAI'13.-->
<!-- </p>-->
<!-- <p>-->
<!-- The paper <a target="_blank" href="documents/research/papers/RIZOIU_JIIS-2013-preprint.pdf">"Unsupervised Feature Construction for Improving Data Representation and Semantics"</a>, written with <a target="_blank" href="http://mediamining.univ-lyon2.fr/people/velcin">J. Velcin </a> and <a target="_blank" href="http://eric.univ-lyon2.fr/~lallich/">S. Lallich </a>, has been accepted for publication in <a target="_blank" href="http://link.springer.com/journal/10844">JIIS</a>.-->
<!-- </p>-->
<!-- <p>-->
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<!-- I gave a lecture on <a target="_blank" href="documents/research/presentations/RIZOIU_JIIS-2013_presentation.pdf">Using a Pareto Front for a Non-Supervised Feature Construction Algorithm</a> <img src="images/french.gif">.-->
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</section>
<aside>
<h2>Contact Information</h2>
<p>
Phone: <img height=25px src="images/phone-number.png" /> <br />
Email: Marian-Andrei.Rizoiu [@] uts.edu.au
</p>
<p>
Posting address: <br />
Building 11, 81 Broadway, <br />
Faculty of Engineering and IT, <br />
University of Technology Sydney, <br />
Ultimo, NSW, 2007, <br />
Australia <br />
</p>
</aside>
</div>
<a class="back-to-top" href="#main">Back to Top</a>
</section>
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<h1>My Publications.</h1>
<strong>Note:</strong> Please head off to <a target="_blank" href="https://www.behavioral-ds.science/publication/">the lab's publications page</a> for the list of publications.
<h2>Research student theses</h2>
<ul>
<li>
Liu, Y. (2021). "Labour dynamics in the age of automation: detecting emergent skills in labour markets from job ads description." <strong>Australian National University</strong>.
thesis:
<a target="_blank" href="https://www.behavioral-ds.science/authors/yaozhong-liu/thesis.pdf"> <img width=20px src="images/actions/download-pdf.svg" /></a>
</li>
<li>
Tripathi, K. (2021). "Profiling Information Warfare on Social Media: A Forensic Analysis of the 2019 Australian Elections." <strong>Australian National University</strong>.
thesis:
<a target="_blank" href="https://www.behavioral-ds.science/authors/kriti-tripathi/kriti-tripathi-thesis.pdf"> <img width=20px src="images/actions/download-pdf.svg" /></a>
</li>
<li>
Law, A. (2021). "Exposing the Stance of Reddit Users Towards Brexit." <strong>Australian National University</strong>.
thesis:
<a target="_blank" href="https://www.behavioral-ds.science/authors/andrew-law/andrew_law_thesis.pdf"> <img width=20px src="images/actions/download-pdf.svg" /></a>
</li>
<li>
Khuu, D. (2021). "Polarisation and Influence: Investigating Brexit Opinion Dynamics on Reddit." <strong>Australian National University</strong>.
thesis:
<a target="_blank" href="https://www.behavioral-ds.science/authors/duy-khuu/duy-khuu-thesis.pdf"> <img width=20px src="images/actions/download-pdf.svg" /></a>
</li>
<li>
Mardale, A. (2019). "Information Diffusion in Online Communities." <strong>Université Jean Monnet</strong>.
thesis:
<a target="_blank" href="https://www.behavioral-ds.science/authors/andrei-mardale/andrei-mardale-thesis.pdf"> <img width=20px src="images/actions/download-pdf.svg" /></a>
</li>
</ul>
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<!-- Wu, S., <strong>Rizoiu, M.-A.</strong>, & Xie, L. (2020). "Variation across Scales: Measurement Fidelity under Twitter Data Sampling." in <strong>International AAAI Conference on Web and Social Media (ICWSM ’20)</strong>, (pp. 1--10).-->
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<!-- Zhang, R., Walder, C., & <strong>Rizoiu, M.-A.</strong> "Variational Inference for Sparse Gaussian Process Modulated Hawkes Process." in <strong>AAAI Conference on Artificial Intelligence (AAAI’20)</strong>. New York, New York, USA, 2020.-->
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<!-- Dawson, N. J., <strong>Rizoiu, M.-A.</strong>, Johnston, B., & Williams, M.-A., "Adaptively selecting occupations to detect skill shortages from online job ads," in <strong>IEEE International Conference on Big Data (IEEE Big Data 2019)</strong>, 2019, Los Angeles, CA, USA.-->
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<!-- D. Kim, T. Graham, Z. Wan, & <strong>M.-A. Rizoiu</strong>. "Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter," in <strong>Journal of Computational Social Science</strong>, pp. 1-21. 2019. <a target="_blank" href="https://doi.org/10.1007/s42001-019-00051-x">DOI: 10.1007/s42001-019-00051-x</a>-->
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<!-- A.-S. Mihaita, Z. Liu, C. Cai, and <strong>M.-A. Rizoiu</strong>. "Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting, " in <strong>Proceedings of the 26th ITS World Congress (ITSWC ’19)</strong>, Singapore, Singapore, 2019.<br/>-->
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<!-- S. Wu, <strong>M.-A. Rizoiu</strong>, & L. Xie, "Beyond Views: Measuring and Predicting Engagement in Online Videos, " in <strong>Proc. International AAAI Conference on Web and Social Media (ICWSM ’18)</strong>, Stanford, CA, USA, 2018.<br/> -->
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<!-- S. Mishra, <strong>M.-A. Rizoiu</strong>, & L. Xie, "Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks, " in <strong>Proc. International AAAI Conference on Web and Social Media (ICWSM ’18)</strong>, Stanford, CA, USA, 2018.<br/> -->
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<!--<!-- <a target="_blank" href="http://cm.cecs.anu.edu.au/post/fdhawkesforpopularity/" type="text/plain"> Presentation page</a>-->
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<!-- <strong>M.-A. Rizoiu</strong>, S. Mishra, Q. Kong, M. Carman, and L. Xie, "SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations, " in <strong>Proc. International Conference on World Wide Web (WWW '18)</strong>, Lyon, France, 2018.<br/> -->
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<!-- Q. Kong, <strong>M.-A. Rizoiu</strong>, S. Wu, and L. Xie, "Will This Video Go Viral? Explaining and Predicting the Popularity of Youtube Videos, " in <strong>Proc. International Conference on World Wide Web Companion (WWW '18)</strong>, Lyon, France, 2018.<br/> -->
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<!-- <a target="_blank" href="http://www.hipie.ml/" type="text/plain">HIPie public installation</a>-->
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<!-- <strong>M.-A. Rizoiu</strong> and L. Xie, "Online Popularity under Promotion: Viral Potential, Forecasting, and the Economics of Time, " in <strong>Proc. International AAAI Conference on Web and Social Media (ICWSM '17)</strong>, Montréal, Canada, pp. 182–191, 2017.<br/> -->
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<!--<!-- <a target="_blank" href="http://cm.cecs.anu.edu.au/post/fdhawkesforpopularity/" type="text/plain"> Presentation page</a>-->
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<!-- <a target="_blank" href="https://github.com/andrei-rizoiu/hip-popularity" type="text/plain"> Source code and dataset</a>-->
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<!-- <strong>M.-A. Rizoiu</strong>, L. Xie, S. Sanner, M. Cebrian, H. Yu, and P. Van Hentenryck, "Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity, " in <strong>Proc. International Conference on World Wide Web (WWW '17)</strong>, Perth, Australia, pp. 735-744, 2017.<br/> -->
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<!--<!-- <a target="_blank" href="http://cm.cecs.anu.edu.au/post/fdhawkesforpopularity/" type="text/plain"> Presentation page</a>-->
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<!-- <a target="_blank" href="https://github.com/andrei-rizoiu/hip-popularity" type="text/plain"> Source code and dataset</a>-->
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<!-- S. Mishra, <strong>M.-A. Rizoiu</strong>, and L. Xie, "Feature Driven and Point Process Approaches for Popularity Prediction, " in <strong>Proc. International Conference on Information and Knowledge Management (CIKM ’16)</strong>, Indianapolis, USA, p. 1069-1078, 2016.<br/> -->
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<!-- <strong>M.-A. Rizoiu</strong>, L. Xie, T. Caetano, and M. Cebrian "Evolution of Privacy Loss on Wikipedia, " in <strong>Proc. International Conference on Web Search and Data Mining (WSDM '16)</strong>, 2016, , pp. 215–224. <br/> -->
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<!-- <a target="_blank" href="http://cm.cecs.anu.edu.au/post/wikiprivacy/index.html" type="text/plain"> Presentation page</a>-->
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<!-- Y.-M. Kim, J. Velcin, S. Bonnevay, and <strong>M.-A. Rizoiu</strong>, "Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering, " in <strong>Proc. European Conference on Information Retrieval (ECIR '15)</strong>, 2015, pp. 593–604. <br/> -->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, S. Bonnevay and S. Lallich, "<a target="_blank" href="http://dx.doi.org/10.1007/s10618-015-0445-7">ClusPath: A Temporal-driven Clustering to Infer Typical Evolution Paths</a>," <strong>Data Mining and Knowledge Discovery</strong>, pp. 1–26, 2015. <br/> -->
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<!-- <a target="_blank" href="https://github.com/andrei-rizoiu/cluspath-distrib" type="text/plain"> Source code and dataset</a>-->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, and S. Lallich, "<a target="_blank" href="http://dx.doi.org/10.3233/IDA-140702">Semantic-enriched Visual Vocabulary Construction in a Weakly Supervised Context</a>," <strong>Intelligent Data Analysis</strong>, vol. 19, iss. 1, pp. 161–185, 2015. <br/> -->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, and S. Lallich, "<a target="_blank" href="http://dx.doi.org/10.1142/S0218213014600136">How to use Temporal-Driven Constrained Clustering to detect typical evolutions</a>," <strong>International Journal of Artificial Intelligence Tools</strong>, vol. 23, iss. 4, pp. 1460013, 2014.-->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, and S. Lallich, "-->
<!-- <a target="_blank" href="http://link.springer.com/article/10.1007/s10844-013-0235-x">-->
<!-- Unsupervised Feature Construction for Improving Data Representation and Semantics-->
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<!-- ," <strong>Journal of Intelligent Information Systems</strong>, vol. 40, iss. 3, pp. 501–527, 2013. <br/> -->
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<!-- <strong>M.-A. Rizoiu</strong>, "Semi-Supervised Structuring of Complex Data, " in <strong>Proc. Doctoral Consortium of the International Joint Conference on Artificial Intelligence (IJCAI '13)</strong>, 2013, pp. 3239–3240. <br/> -->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, and S. Lallich, "Structuring typical evolutions using Temporal-Driven Constrained Clustering," in <strong>Proc. International Conference on Tools with Artificial Intelligence (ICTAI '12)</strong>, 2012, pp. 610–617. <br/> -->
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<!-- C. Musat, J. Velcin, S. Trausan-Matu, and <strong>M.-A. Rizoiu</strong>, "Improving topic evaluation using conceptual knowledge," in <strong>Proc. International Joint Conference on Artificial Intelligence (IJCAI '11)</strong>, 2011, pp. 1866–1871. <br/> -->
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<!-- C. Musat, J. Velcin, <strong>M.-A. Rizoiu</strong>, and S. Trausan-Matu, "Concept-based Topic Model Improvement," in <strong>Proc. International Symposium on Methodologies for Intelligent Systems (ISMIS '11)</strong>, 2011, pp. 133–142. <br/> -->
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<!-- C. Musat, <strong>M.-A. Rizoiu</strong>, and S. Trausan-Matu, "<a target="_blank" href="http://rochi.utcluj.ro/rrioc/en/rrioc-2010-2.html#An_Intra_and_Inter-Topic_Evaluation_and">An Intra and Inter-Topic Evaluation and Cleansing Method</a>," <strong>Romanian Journal of Human-Computer Interaction</strong>, vol. 3, iss. 2, pp. 81–96, 2010. <br/>-->
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<!-- <strong>M.-A. Rizoiu</strong>, J. Velcin, and J.-H. Chauchat, "Regrouper les données textuelles et nommer les groupes à l'aide des classes recouvrantes," in <strong>Proc. Extraction et Gestion des Connaissances (EGC '10)</strong>, 2010, pp. 561–572. <br/> preprint: -->
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<!-- <h2>Book chapters</h2>-->