The Group
PhD students
MSc Vasileios Iosifidis
Topics: fairness-aware machine learning & learning under limited labels. (semi-supervised learning, data augmentation), since June 2016.
MSc Amir Abolfazli
Topics: Adaptive machine learning, since April 2019.
MSc Arjun Roy
Topics: Fairness-aware machine learning, since September 2019.
MSc Le Quy Tai (with Prof. Wolfgang Nejdl)
Topics: temporal data mining.
External PhDs
TBA
Old PhDs
Damianos Melidis
Damianos was working on ensemble learning over heterogeneous streams.(2017-2018)
HiWis
Philip Naumann, Counterfactual learning.
Lijun Li, Ensemble learning.
Christopher Blake, Reinforcement learning.
Cai Yi, Semi-supervised learning.
Alvaro Alvaro Veizaga Campero, Sentiment analysis.
Visiting students
Srijanani Saiegiridar (Visiting BSc student), 01/01/2020-31/7/2020, Sastra Deemed University, India.
Research topic: Fair clustering.
Bahman Askari (Erasmus MSc student), WS18/19-SS19, University of Camerino, Italy.
Research topic: demand prediction. Related publication SSMLS@COMPSAC 2020.
Wenbin Zhang (Visiting PhD student), WS17/18-SS18, University of Maryland, USA.
Research topic: Online fairness. Related publication IJCAI 2019.
MSc/ BSc students
Leibniz University Hannover (LUH), Germany
Philipp Naumann, MSc, ``Evolutionary Instance Tweaking'', WiSe20/21.
Leonard Zucht, MSc, ``Application of Amortized Fairness in Sequential Group Recommendations Using Collaborative Filtering'', WS19/20.
Philip Ossenkopp, BSc, ``Dealing with Concept Drifts via Weightless Neural Networks'', WS19/20.
Niels Nuthmann, BSc, ``Detecting tendon failure from acoustic emission data with machine learning methods'' - in cooperation with Prof. Marx (Institut für Massivbau), SS19.
Wazed Ali, MSc, ``Sentiment Analysis using Deep Learning'', WS18/19.
Christopher Blake, MSc, ``Knowledge Production and Control of a Black Box Using Machine Learning'', WS18/19. Related publication: ICBK 2018.
Theresa Tholsti, BSc, ``Stability of high dimensional stream clustering'', SS18.
Kersten Nicksch, BSc, ``Multicriteria recommendations with implicit criteria'', SS18.
Simon Wingert, MSc, ``Augmentation on image data for deep learning'', SS18.
Alvaro Alvaro Veizaga Campero, MSc, ``Sentiment Analysis with Deep Learning'', SS18.
Ruben Hohndorf, MSc, ``Data stream clustering", SS18.
Bin Li, MSc, ``Anomaly detection in sensor streams'', SS18.
Monseh Haghaieghshenasfard, Research project, Taxi Fare Prediction, SS18.
Al Kafi Khan, Research project, ``Predictive Maintenance'', SS 17
Amit Tyagi, MSc project, “Outlier detection in data streams", SS 17.
Rajib Das, MSc, “Mining opinionated product features from Amazon reviews", SS 17.
Alvaro Alvaro Veizaga Campero, Research project, “Lexicon-based approaches for sentiment analysis in Twitter", SS 17. Related publication: WIMS 2018.
Lijun Lyu, Research project, “Wikipedia Entity Enrichment from News Streams", SS 17.
Nrithya Muniswamy & Nidhi Chachra, Research project, “Implicit network mining from archive collections", SS 17.
Sudhir Kumar Sah, MSc, “Topic extraction from archive collections", WS 16/17.
Ludwig Maximilians University (LMU) Munich, Germany
Omar Backhoff, MSc, “Scalable Online-Offline Stream Clustering in Apache Spark”, TUM Munich, 2017. Related publication
Daniel Basaran, MSc, “On the effect of duplicated reviews on performance statistics of recommender systems”, LMU Munich, 2016. Related publication
Benedikt Böhm, Project work, “Building blocks for multicriteria recommendation systems”, LMU Munich, 2016.
Yulia Bobkova, BSc, Interaktive Bestimmung charakterstischer Punktmengen durch Kombination von Clusterings”, LMU Munich, 2016. Related publication
Hossain Mahmud, MSc, “Ensemble Learning in Data Streams”, TUM Munich, 2016.
Sebastian Wagner,BSc, “Ageing-based Multinomial Naive Bayes Classifiers over Data Streams”, LMU Munich, 2015. Related publication
Annina Oelschläger, BSc, “Adaptive Ageing of Multinomial Naive Bayes Classifiers over Opinionated Data Streams”, LMU Munich, 2015.
Tabea Schmidt, “High Dimensional Stream Clustering”, LMU Munich, 2015.
Michael Stockerl, MSc, "Find Templates for Scans and Pictures of Paper Documents", LMU Munich, 2014. Related publication
Michael Stockerl, Project work, "Distributed Computation of User Similarities", LMU Munich, 2014.
Claudia Lauschke, MSc, "Topic extraction and evolution monitoring in social streams", LMU Munich, 2014. Related publication
Katharina Rausch, MSc, "Exploring Subspace Clustering for Recommendations", LMU Munich, 2013. Related publication
Michalis Petropoulos, BSc, “gRecs: A Group Recommendation System”, LMU Munich, 2013. Related publication
Charlotte Prieß, BSc, “Domain-specific sentiment analysis in Twitter using Bayesian classifiers”, LMU Munich, 2012.
Alina Sinelnikova, BSc, “Sentiment analysis in the Twitter stream”, LMU Munich, 2012. Related publication
Alexander Velkov, Diploma thesis, "Incremental Data Bubbles for Non-Vector Data in Arbitrary Metric Space", LMU Munich, 2011.
Kumar Subramanim, Diploma thesis, "Community Detection in Social Networks using Density Based Clustering Algorithms", LMU Munich, 2011. Related publication
Claudia Lauschke, BSc, "User Profile Monitoring in Twitter", LMU Munich, 2011.
Veselin Georgiev, Project work, "Web Profile Monitoring", Projektarbeit, LMU Munich, 2011.
University of Piraeus, Greece
Georgios Tzoumis, MSc, “Data warehousing for news portals”, University of Piraeus, 2006.
Marios Mpartzokas, BSc, "Comparing complex patterns: a study on collections of documents", University of Piraeus, 2006.
Anastasia Tzeveleka, BSc, "Duck-miner: A Tool for Discovering and Handling Knowledge from Large DBs", University of Piraeus, 2005.