piwik-script

Intern
    Data Science Chair

    Martin Becker

    Dr. Martin Becker

    University of Würzburg
    Department for Artificial Intelligence
    and Applied Computer Science
    Am Hubland
    D-97074 Würzburg

    Contact:
    becker<at>informatik.uni-wuerzburg.de

    Homepage: https://martin-becker.net
    Twitter: @mgbckr
    Github: https://github.com/mgbckr

    After a stay at the University of Texas, Austin, I have received my diploma degree in Computer Science in 2011 at the University of Würzburg working on subgroup discovery and exceptional model mining. Subsequently, I have been part of the DMIR Research Group lead by Andreas Hotho, where, in 2018, I finished my PhD thesis on"Understanding Human Navigation using Bayesian Hypothesis Comparison" with the best possible grade (summa cum laude). In the same year, I started working atNima Agheepour's lab at Stanford University researching in the field of "Artificial Intelligence, Machine Learning, and Multiomics Integration for Clinical Immunology".

    With the DMIR group, I have been working on a variety interesting research subjects including behavioral change in participatory sensing campaigns and the internet of things (EveryAware), semantics (Posts II), digital humanities (Kallimachos), and sport analytics. My main focus was navigational behavior models in different contexts such as human mobility as well various forms of web navigation, e.g., in crowdsourcing environments, social bookmarking systems like BibSonomy, or Wikipedia. On a methodological level I passionately worked on Bayesian methods such as model comparison via Bayes factors or Bayesian models for explaining sequential data. 

    Please note that this page is not actively maintained. For more current information please visit: https://martin-becker.net

    Projects at DMIR

    For an overview of all DMIR projects, click here.

    • EveryAware
    • Posts II
    • Kallimachos
    • p2map

    Workshop PC Member

    (as of 2018)

    Publications

    2022[ to top ]
    • Becker, M., Rodriguez, N., Miliku, K., Field, C., Roberston, B., Yonemitsu, C., Bode, L., Simons, E., Marshall, J., Dawod, B., Mandhane, P., Turvey, S. E., Moraes, T. J., Subbarao, P., Azad, M., & Aghaeepour, N. Multimodal machine learning models complex relationship of infant head circumference, mothers’ milk composition, and their shared environment. In Preparation.
    • A data-driven health inde...
      {De Francesco}, D., Blumenfeld, Y. J., Marić, I., Mayo, J. A., Chang, A. L., Fallahzadeh, R., Phongpreecha, T., Butwick, A. J., Xenochristou, M., Phibbs, C. S., Bidoki, N. H., Becker, M., Culos, A., Espinosa, C., Liu, Q., Sylvester, K. G., Gaudilliere, B., Angst, M. S., Stevenson, D. K., Shaw, G. M., & Aghaeepour, N. A data-driven health index for neonatal morbidities. IScience, 104143.
    • Becker, M., Dai, J., Chang, A. L., Feyaerts, D., Stelzer, I. A., Berson, E., Bidoki, N. H., Espinosa, C., Francesco, D. D., Fallahzadeh, R., Maric, I., Mataraso, S. J., Phongpreecha, T., Ravindra, N. G., Stanley, N., Thuraiappah, M., Shaw, G., Stevenson, D., Angst, M. S., Gaudilliere, B., & Aghaeepour, N. Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning. Under Review.
    • Becker, M., Feyaerts, D., Stelzer, I. A., Berson, E., Chang, A. L., Espinosa, C., Francesco, D. D., Fallahzadeh, R., Maric, I., Mataraso, S. J., Nassar, H., Phongpreecha, T., Ravindra, N. G., Stanley, N., Thuraiappah, M., Shaw, G., Stevenson, D., Angst, M. S., Gaudilliere, B., & Aghaeepour, N. Profiling functional disruption in biological systems. Under Review.
    • Becker, M., Nassar, H., Espinosa, C., Stelzer, I. A., Feyaerts, D., Berson, E., Bidoki, N. H., Chang, A. L., Francesco, D. D., Fallahzadeh, R., Feyaerts, D., Liu, Q., Maric, I., Mataraso, S. J., Phongpreecha, T., Ravindra, N. G., Stanley, N., Thuraiappah, M., Shaw, G., Stevenson, D., Angst, M. S., Gaudilliere, B., & Aghaeepour, N. Large scale correlation network construction for unraveling the coordination of complex biological systems. Under Review.
    • Leukocyte telomere dynami...
      Panelli, D. M., Leonard, S. A., Wong, R. J., Becker, M., Mayo, J. A., Wu, E., Girsen, A. I., Gotlib, I. H., Aghaeepour, N., Druzin, M. L., & others. Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress. BMC Pregnancy and Childbirth, 22(1), 1-12.
    2021[ to top ]
    • Single-synapse analyses o...
      Phongpreecha, T., Gajera, C. R., Liu, C. C., Vijayaragavan, K., Chang, A. L., Becker, M., Fallahzadeh, R., Fernandez, R., Postupna, N., Sherfield, E., & others. Single-synapse analyses of Alzheimer’s disease implicate pathologic tau, DJ1, CD47, and ApoE. Science Advances, 7(51), eabk0473.
    • Objective Activity Parame...
      Fallahzadeh, R., Verdonk, F., Ganio, E., Culos, A., Stanley, N., Maric, I., Chang, A. L., Becker, M., Phongpreecha, T., Xenochristou, M., & others. Objective Activity Parameters Track Patient-Specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune States. Annals of Surgery. https://doi.org/10.1097/sla.0000000000005250
    • Redescription Model Minin...
      Stamm, F. I., Becker, M., Strohmaier, M., & Lemmerich, F. Redescription Model Mining. Proceedings of the 27nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/3447548.3467366
    • Data-Driven Modeling of P...
      Espinosa, C., Becker, M., Maric, I., Wong, R. J., Shaw, G. M., Gaudilliere, B., Aghaeepour, N., Stevenson, D. K., Stelzer, I. A., Peterson, L. S., Chang, A. L., Xenochristou, M., Phongpreecha, T., {De Francesco}, D., Katz, M., Blumenfeld, Y. J., & Angst, M. S. Data-Driven Modeling of Pregnancy-Related Complications. Trends in Molecular Medicine. https://doi.org/https://doi.org/10.1016/j.molmed.2021.01.007
    • Deleterious and Protectiv...
      Becker, M., Mayo, J. A., Phogat, N. K., Quaintance, C. C., Laborde, A., King, L., Gotlib, I. H., Gaudilliere, B., Angst, M. S., Shaw, G. M., Stevenson, D. K., Aghaeepour, N., & Dhabhar, F. S. Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth. American Journal of Perinatology. https://doi.org/10.1055/s-0041-1729162
    • Integrated trajectories o...
      Stelzer, I. A., Ghaemi, M. S., Han, X., Ando, K., Hedou, J. J., Feyaerts, D., Peterson, L. S., Rumer, K. K., Tsai, E. S., Ganio, E. A., Gaudilliere, D. K., Tsai, A. S., Choisy, B., Gaigne, L. P., Verdonk, F., Jacobsen, D., Gavasso, S., Traber, G. M., Ellenberger, M., Stanley, N., Becker, M., Culos, A., Fallahzadeh, R., Wong, R. J., Darmstadt, G. L., Druzin, M. L., Winn, V. D., Gibbs, R. S., Ling, X. B., Sylvester, K., Carvalho, B., Snyder, M. P., Shaw, G. M., Stevenson, D. K., Contrepois, K., Angst, M. S., Aghaeepour, N., & Gaudilliere, B. Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Science Translational Medicine, 13(592), Article 592. https://doi.org/10.1126/scitranslmed.abd9898
    • Multiomics Longitudinal M...
      Maric, I., Contrepois, K., Moufarrej, M., Stelzer, I., Feyaerts, D., Han, X., Tang, A., Stanley, N., Wong, R., Traber, G., & others. Multiomics Longitudinal Modeling of Preeclamptic Pregnancies.
    • Risk assessment analysis ...
      Ramirez-Celis, A., Becker, M., Nu{\~n}o, M., Schauer, J., Aghaeepour, N., & Van de Water, J. Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism. Molecular Psychiatry, 1-10.
    2020[ to top ]
    • OpenLUR: Off-the-shelf ai...
      Lautenschlager, F., Becker, M., Kobs, K., Steininger, M., Davidson, P., Krause, A., & Hotho, A. OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Atmospheric Environment, 233, 117535. https://doi.org/https://doi.org/10.1016/j.atmosenv.2020.117535
    • MapLUR: Exploring a New P...
      Steininger, M., Kobs, K., Zehe, A., Lautenschlager, F., Becker, M., & Hotho, A. MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. ACM Transactions on Spatial Algorithms and Systems (TSAS), 6(3), 1-24.
    • VoPo leverages cellular h...
      Stanley, N., Stelzer, I. A., Tsai, A. S., Fallahzadeh, R., Ganio, E., Becker, M., Phongpreecha, T., Nassar, H., Ghaemi, S., Maric, I., Culos, A., Chang, A. L., Xenochristou, M., Han, X., Espinosa, C., Rumer, K., Peterson, L., Verdonk, F., Gaudilliere, D., Tsai, E., Feyaerts, D., Einhaus, J., Ando, K., Wong, R. J., Obermoser, G., Shaw, G. M., Stevenson, D. K., Angst, M. S., Gaudilliere, B., & Aghaeepour, N. VoPo leverages cellular heterogeneity for predictive modeling of single-cell data. Nature Communications, 11(1), 3738-. https://doi.org/10.1038/s41467-020-17569-8
    • Integration of mechanisti...
      Culos, A., Tsai, A. S., Stanley, N., Becker, M., Ghaemi, M. S., McIlwain, D. R., Fallahzadeh, R., Tanada, A., Nassar, H., Espinosa, C., & others. Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Nature Machine Intelligence, 2(10), 619-628.
    • Multiomics Characterizati...
      Jehan, F., Sazawal, S., Baqui, A. H., Nisar, M. I., Dhingra, U., Khanam, R., Ilyas, M., Dutta, A., Mitra, D. K., Mehmood, U., Deb, S., Mahmud, A., Hotwani, A., Ali, S. M., Rahman, S., Nizar, A., Ame, S. M., Moin, M. I., Muhammad, S., Chauhan, A., Begum, N., Khan, W., Das, S., Ahmed, S., Hasan, T., Khalid, J., Rizvi, S. J. R., Juma, M. H., Chowdhury, N. H., Kabir, F., Aftab, F., Quaiyum, A., Manu, A., Yoshida, S., Bahl, R., Rahman, A., Pervin, J., Winston, J., Musonda, P., Stringer, J. S. A., Litch, J. A., Ghaemi, M. S., Moufarrej, M. N., Contrepois, K., Chen, S., Stelzer, I. A., Stanley, N., Chang, A. L., Hammad, G. B., Wong, R. J., Liu, C., Quaintance, C. C., Culos, A., Espinosa, C., Xenochristou, M., Becker, M., Fallahzadeh, R., Ganio, E., Tsai, A. S., Gaudilliere, D., Tsai, E. S., Han, X., Ando, K., Tingle, M., Maric, I., Wise, P. H., Winn, V. D., Druzin, M. L., Gibbs, R. S., Darmstadt, G. L., Murray, J. C., Shaw, G. M., Stevenson, D. K., Snyder, M. P., Quake, S. R., Angst, M. S., Gaudilliere, B., & Aghaeepour, N. Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries. JAMA Network Open, 3, e2029655-e2029655. https://doi.org/10.1001/jamanetworkopen.2020.29655
    2018[ to top ]
    • Understanding Human Navig...
      Becker, M. Understanding Human Navigation using Bayesian Hypothesis Comparison [PhD dissertation]. University of W{\"u}rzburg.
    • pysubgroup: Easy-to-Use S...
      Lemmerich, F., & Becker, M. pysubgroup: Easy-to-Use Subgroup Discovery in Python. In U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, M. Berlingerio, & N. Hurley (Eds.), ECML/PKDD (3) (Vols. 11053, pp. 658-662). Springer. http://dblp.uni-trier.de/db/conf/pkdd/pkdd2018-3.html#Lemmerich018
    • A White-Box Model for Det...
      Zehe, A., Schlör, D., Henny-Krahmer, U., Becker, M., & Hotho, A. A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. In J. G. Palau & I. G. Russell (Eds.), Digital Humanities (pp. 519-521). ADHO.
    • Burrows’ Zeta: Explorin...
      Schöch, C., Schlör, D., Zehe, A., Gebhard, H., Becker, M., & Hotho, A. Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. In J. G. Palau & I. G. Russell (Eds.), Digital Humanities (pp. 274-277). http://dblp.uni-trier.de/db/conf/dihu/dh2018.html#SchochSZG0H18
    • EveryAware Gears: A Tool ...
      Lautenschlager, F., Becker, M., Steininger, M., & Hotho, A. EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. In D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, & A. Diehl (Eds.), Proceedings of VGI Geovisual Analytics Workshop, colocated with BDVA 2018. KOPS.
    • Air Trails--Urban Air Qua...
      Becker, M., Lautenschlager, F., & Hotho, A. Air Trails--Urban Air Quality Campaign Exploration Patterns. Proceedings of VGI-ALIVE 2018 Workshop, Colocated With AGILE 2018. http://www.cs.nuim.ie/~pmooney/vgi-alive2018/index.html
    • Adaptive kNN Using Expect...
      Kibanov, M., Becker, M., Mueller, J., Atzmueller, M., Hotho, A., & Stumme, G. Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data. Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 857-865. https://doi.org/10.1145/3167132.3167226
    • Healing Time Correlates W...
      Werdin, F., Tenenhaus, M., Becker, M., & Rennekampff, H.-O. Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial. Dermatologic Surgery, 44(4), 521-527.
    2017[ to top ]
    • Eleven-Week Preparation I...
      Treff, G., Winkert, K., Sareban, M., Steinacker, J. M., Becker, M., & Sperlich, B. Eleven-Week Preparation Involving Polarized Intensity Distribution Is Not Superior to Pyramidal Distribution in National Elite Rowers. Frontiers in Physiology, 8, 515. https://doi.org/10.3389/fphys.2017.00515
    • Applications for Environm...
      Atzmueller, M., Becker, M., Molino, A., Mueller, J., Peters, J., & Sirbu, A. Applications for Environmental Sensing in EveryAware. In V. Loreto, M. Haklay, A. Hotho, V. D. Servedio, G. Stumme, F. Tria, & J. Theunis (Eds.), Participatory Sensing, Opinions and Collective Awareness (pp. 135-155). Springer International Publishing. https://doi.org/10.1007/978-3-319-25658-0_7
    • Experimental Assessment o...
      Gravino, P., Sirbu, A., Becker, M., Servedio, V. D., & Loreto, V. Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson. In Participatory Sensing, Opinions and Collective Awareness (pp. 337-362). Springer International Publishing. https://doi.org/10.1007/978-3-319-25658-0_16
    • Collective Sensing Platfo...
      Atzmueller, M., Becker, M., & Mueller, J. Collective Sensing Platforms. In V. Loreto, M. Haklay, A. Hotho, V. D. Servedio, G. Stumme, F. Tria, & J. Theunis (Eds.), Participatory Sensing, Opinions and Collective Awareness (pp. 115-133). Springer International Publishing. https://doi.org/10.1007/978-3-319-25658-0_6
    • MixedTrails: Bayesian hyp...
      Becker, M., Lemmerich, F., Singer, P., Strohmaier, M., & Hotho, A. MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Data Mining and Knowledge Discovery, 31(5), 1359-1390. https://doi.org/10.1007/s10618-017-0518-x
    • Towards Sentiment Analysi...
      Zehe, A., Becker, M., Jannidis, F., & Hotho, A. Towards Sentiment Analysis on German Literature. Joint German Austrian Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz), 387-394.
    • Sedentary Behavior among ...
      Sperlich, B., Becker, M., Hotho, A., Wallmann-Sperlich, B., Sareban, M., Winkert, K., Steinacker, J. M., & Treff, G. Sedentary Behavior among National Elite Rowers during Off-Training—A Pilot Study. Frontiers in Physiology, 8, 655. https://doi.org/10.3389/fphys.2017.00655
    • Learning Semantic Related...
      Niebler, T., Becker, M., Pölitz, C., & Hotho, A. Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. In N. Nikitina, D. Song, A. Fokoue, & P. Haase (Eds.), Proceedings of the ISWC 2017 Posters \& Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017). http://ceur-ws.org/Vol-1963/paper471.pdf
    • Comparing Hypotheses Abou...
      Lemmerich, F., Singer, P., Becker, M., Espin-Noboa, L., Dimitrov, D., Helic, D., Hotho, A., & Strohmaier, M. Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 354-357.
    2016[ to top ]
    • Mining Subgroups with Exc...
      Lemmerich, F., Becker, M., Singer, P., Helic, D., Hotho, A., & Strohmaier, M. Mining Subgroups with Exceptional Transition Behavior. Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 965-974. https://doi.org/10.1145/2939672.2939752
    • SparkTrails: A MapReduce ...
      Becker, M., Mewes, H., Hotho, A., Dimitrov, D., Lemmerich, F., & Strohmaier, M. SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails. International Conference Companion on World Wide Web, 17-18. https://doi.org/10.1145/2872518.2889380
    • Prediction of Happy Endin...
      Zehe, A., Becker, M., Hettinger, L., Hotho, A., Reger, I., & Jannidis, F. Prediction of Happy Endings in German Novels. In P. Cellier, T. Charnois, A. Hotho, S. Matwin, M.-F. Moens, & Y. Toussaint (Eds.), Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016 (pp. 9-16). http://ceur-ws.org/Vol-1646/
    • FolkTrails: Interpreting ...
      Niebler, T., Becker, M., Zoller, D., Doerfel, S., & Hotho, A. FolkTrails: Interpreting navigation behavior in a social tagging system. International on Conference on Information and Knowledge Management, 2311-2316. https://doi.org/10.1145/2983323.2983686
    • Extracting Semantics from...
      Niebler, T., Schlör, D., Becker, M., & Hotho, A. Extracting Semantics from unconstrained navigation on wikipedia. KI - Künstliche Intelligenz, 30(2), 163-168. https://doi.org/10.1007/s13218-015-0417-5
    2015[ to top ]
    • ConDist: A Context-Driven...
      Ring, M., Otto, F., Becker, M., Niebler, T., Landes, D., & Hotho, A. ConDist: A Context-Driven Categorical Distance Measure. In A. Appice, P. P. Rodrigues, V. S. Costa, C. Soares, J. Gama, & A. Jorge (Eds.), Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) (pp. 251-266). Springer International Publishing. https://doi.org/10.1007/978-3-319-23528-8_16
    • Participatory patterns in...
      Sirbu, A., Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V. D. P., Stumme, G., Theunis, J., Tria, F., & Van den Bossche, J. Participatory patterns in an international air quality monitoring initiative. PLoS ONE, 10(8), e0136763. http://dx.doi.org/10.1371%2Fjournal.pone.0136763
    • VizTrails: An Information...
      Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., & Strohmaier, M. VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories. Conference on Hypertext \& Social Media, 319-320. https://doi.org/10.1145/2700171.2791021
    • Genre Classification on G...
      Hettinger, L., Becker, M., Reger, I., Jannidis, F., & Hotho, A. Genre Classification on German Novels. 26th International Workshop on Database and Expert Systems Applications (DEXA), 249-253. https://doi.org/10.1109/DEXA.2015.62
    • MicroTrails: Comparing Hy...
      Becker, M., Borchert, K., Hirth, M., Mewes, H., Hotho, A., & Tran-Gia, P. MicroTrails: Comparing Hypotheses About Task Selection on a Crowdsourcing Platform. International Conference on Knowledge Technologies and Data-Driven Business, 10:1-10:8. http://doi.acm.org/10.1145/2809563.2809608
    • Exploratory Subgroup Anal...
      Atzmueller, M., Mueller, J., & Becker, M. Exploratory Subgroup Analytics on Ubiquitous Data. In M. Atzmueller, A. Chin, C. Scholz, & C. Trattner (Eds.), Mining, Modeling, and Recommending ’Things’ in Social Media (pp. 1-20). Springer International Publishing.
    • Photowalking the City: Co...
      Becker, M., Singer, P., Lemmerich, F., Hotho, A., Helic, D., & Strohmaier, M. Photowalking the City: Comparing Hypotheses About Urban Photo Trails on Flickr. In T.-Y. Liu, C. N. Scollon, & W. Zhu (Eds.), International Conference on Social Informatics (pp. 227-244). Springer International Publishing. https://doi.org/10.1007/978-3-319-27433-1_16
    2014[ to top ]
    • Subjective vs. Objective ...
      Becker, M., Hotho, A., Mueller, J., Kibanov, M., Atzmueller, M., & Stumme, G. Subjective vs. Objective Data: Bridging the Gap. http://www.gesis.org/en/events/css-wintersymposium/poster-presentation/
    • Ubicon and its applicatio...
      Atzmueller, M., Becker, M., Kibanov, M., Scholz, C., Doerfel, S., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J., & Stumme, G. Ubicon and its applications for ubiquitous social computing. New Review of Hypermedia and Multimedia, 20(1), 53-77. https://doi.org/10.1080/13614568.2013.873488
    2013[ to top ]
    • A Generic Platform for Ub...
      Becker, M., Mueller, J., Hotho, A., & Stumme, G. A Generic Platform for Ubiquitous and Subjective Data. Conference on Pervasive and Ubiquitous Computing Adjunct Publication, 1175-1182. http://dx.doi.org/10.1145/2494091.2499776
    • Awareness and learning in...
      Becker, M., Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. (Muki), Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V. D. P., Sirbu, A., & Tria, F. Awareness and learning in participatory noise sensing. PLOS ONE, 8(12), e81638. https://doi.org/10.1371/journal.pone.0081638
    • Tag Recommendations for S...
      Mueller, J., Doerfel, S., Becker, M., Hotho, A., & Stumme, G. Tag Recommendations for SensorFolkSonomies. Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web Co-Located With the 7th ACM Conference on Recommender Systems (RecSys 2013). http://ceur-ws.org/Vol-1066/Paper9.pdf
    • Difference-Based Estimate...
      Lemmerich, F., Becker, M., & Puppe, F. Difference-Based Estimates for Generalization-Aware Subgroup Discovery. In H. Blockeel, K. Kersting, S. Nijssen, & F. Zelezny (Eds.), Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) (pp. 288-303). Springer. https://doi.org/10.1007/978-3-642-40994-3_19
    2012[ to top ]
    • Ubicon: Observing Social ...
      Atzmueller, M., Becker, M., Doerfel, S., Kibanov, M., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J., Scholz, C., & Stumme, G. Ubicon: Observing Social and Physical Activities. International Conference on Green Computing and Communications, 317-324. https://doi.org/10.1109/GreenCom.2012.75
    • Generic Pattern Trees for...
      Lemmerich, F., Becker, M., & Atzmueller, M. Generic Pattern Trees for Exhaustive Exceptional Model Mining. In P. A. Flach, T. De Bie, & N. Cristianini (Eds.), European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 277-292). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33486-3_18
    2011[ to top ]
    • Constraint Based Descript...
      Becker, M. Constraint Based Descriptive Pattern Mining (A. Hotho, M. Atzmueller, & F. Lemmrich, Eds.) [Master thesis, University of Wuerzburg]. http://www.is.informatik.uni-wuerzburg.de/fileadmin/10030600/staff/becker/20110713_becker_constraint-based-descriptive-pattern-mining_diplomathesis.pdf

    Teaching

    Seminar Ausgewählte Themen des Web 2.0

    Information Retrieval

    • summer term 2015
    • summer term 2014
    • summer term 2013
    • summer term 2012
    • summer term 2011