Intern
    Data Science Chair

    Dr. 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

    2024[ to top ]
    • Multimodal machine learni...
      Multimodal machine learning for modeling infant head circumference, mothers’ milk composition, and their shared environment. Becker, Martin; Fehr, Kelsey; Goguen, Stephanie; Miliku, Kozeta; Field, Catherine; Robertson, Bianca; Yonemitsu, Chloe; Bode, Lars; Simons, Elinor; Marshall, Jean; Dawod, Bassel; Mandhane, Piushkumar; Turvey, Stuart E.; Moraes, Theo J.; Subbarao, Padmaja; Rodriguez, Natalie; Aghaeepour, Nima; Azad, Meghan B. In Scientific Reports, 14(1), p. 2977. 2024.
    • CompTrails: comparing hyp...
      CompTrails: comparing hypotheses across behavioral networks. Koopmann, Tobias; Becker, Martin; Lemmerich, Florian; Hotho, Andreas. In Data Mining and Knowledge Discovery. 2024.
    • Computational Approaches ...
      Computational Approaches for Connecting Maternal Stress to Preterm Birth. Mirzaei, Amin; Hiller, Bjarne C.; Stelzer, Ina A.; Thiele, Kristin; Tan, Yuqi; Becker, Martin. In Clinics in Perinatology. 2024.
    2023[ to top ]
    • Differential cellular immune response in pregnant and non-pregnant women upon vaccination against SARS-CoV-2 infection. Urbschat, Christopher; Thiele, Kristin; Stelzer, Ina; Zhang, Tianran; Zhao, Yu; Kehribar, Tayyip; Pagenkemper, Mirja; Hansen, Gudula; Gaudilli{è}re, Brice; Diemert, Anke; others. In Journal of Reproductive Immunology, 159, p. 104041. Elsevier, 2023.
    • Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature. Berson, Eloise; Sreenivas, Anjali; Phongpreecha, Thanaphong; Perna, Amalia; Grandi, Fiorella C.; Xue, Lei; Ravindra, Neal G.; Payrovnaziri, Neelufar; Mataraso, Samson; Kim, Yeasul; Espinosa, Camilo; Chang, Alan L.; Becker, Martin; Montine, Kathleen S.; Fox, Edward J.; Chang, Howard Y.; Corces, M. Ryan; Aghaeepour, Nima; Montine, Thomas J. In Nature Communications, 14(1), p. 4947. Nature Publishing Group UK London, 2023.
    • Prediction of multiple neuropathologic changes from features available during life. Phongpreecha, Thanaphong; De Francesco, Davide; Chang, Alan; Thuraiappah, Melan; Becker, Martin; Ravindra, Neal; Berson, Eloise; Espinosa, Camilo; Mataraso, Samson; Godrich, Dana; others. In Alzheimer’s & Dementia, 19, p. e067030. Wiley Online Library, 2023.
    • Data-driven longitudinal characterization of neonatal health and morbidity. Francesco, Davide De; Reiss, Jonathan D.; Roger, Jacquelyn; Tang, Alice S.; Chang, Alan L.; Becker, Martin; Phongpreecha, Thanaphong; Espinosa, Camilo; Morin, Susanna; Berson, Eloïse; Thuraiappah, Melan; Le, Brian L.; Ravindra, Neal G.; Payrovnaziri, Seyedeh Neelufar; Mataraso, Samson; Kim, Yeasul; Xue, Lei; Rosenstein, Melissa G.; Oskotsky, Tomiko; Marić, Ivana; Gaudilliere, Brice; Carvalho, Brendan; Bateman, Brian T.; Angst, Martin S.; Prince, Lawrence S.; Blumenfeld, Yair J.; Benitz, William E.; Fuerch, Janene H.; Shaw, Gary M.; Sylvester, Karl G.; Stevenson, David K.; Sirota, Marina; Aghaeepour, Nima. In Science Translational Medicine, 15(683), p. eadc9854. 2023.
    • Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. Ravindra, Neal G; Espinosa, Camilo; Berson, Eloise; Phongpreecha, Thanaphong; Zhao, Peinan; Becker, Martin; Chang, Alan L; Shome, Sayane; Mari{{’c}}, Ivana; De Francesco, Davide; others. In npj Digital Medicine, 6(1), p. 171. Nature Publishing Group UK London, 2023.
    • Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4. Donovan, Sharon M; Aghaeepour, Nima; Andres, Aline; Azad, Meghan B; Becker, Martin; Carlson, Susan E; J{ä}rvinen, Kirsi M; Lin, Weili; L{ö}nnerdal, Bo; Slupsky, Carolyn M; others. In The American Journal of Clinical Nutrition, 117, pp. S61-S86. Elsevier, 2023.
    • Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries. Espinosa, Camilo A.; Khan, Waqasuddin; Khanam, Rasheda; Das, Sayan; Khalid, Javairia; Pervin, Jesmin; Kasaro, Margaret P.; Contrepois, Kévin; Chang, Alan L.; Phongpreecha, Thanaphong; Michael, Basil; Ellenberger, Mathew; Mehmood, Usma; Hotwani, Aneeta; Nizar, Ambreen; Kabir, Furqan; Wong, Ronald J.; Becker, Martin; Berson, Eloise; Culos, Anthony; Francesco, Davide De; Mataraso, Samson; Ravindra, Neal; Thuraiappah, Melan; Xenochristou, Maria; Stelzer, Ina A.; Marić, Ivana; Dutta, Arup; Raqib, Rubhana; Ahmed, Salahuddin; Rahman, Sayedur; Hasan, A. S. M. Tarik; Ali, Said M.; Juma, Mohamed H.; Rahman, Monjur; Aktar, Shaki; Deb, Saikat; Price, Joan T.; Wise, Paul H.; Winn, Virginia D.; Druzin, Maurice L.; Gibbs, Ronald S.; Darmstadt, Gary L.; Murray, Jeffrey C.; Stringer, Jeffrey S. A.; Gaudilliere, Brice; Snyder, Michael P.; Angst, Martin S.; Rahman, Anisur; Baqui, Abdullah H.; Jehan, Fyezah; Nisar, Muhammad Imran; Vwalika, Bellington; Sazawal, Sunil; Shaw, Gary M.; Stevenson, David K.; Aghaeepour, Nima. In Science Advances, 9(21), p. eade7692. 2023.
    • Shorter maternal leukocyte telomere length following cesarean birth: Implications for future research. Panelli, Danielle M; Mayo, Jonathan A; Wong, Ronald J; Becker, Martin; Maric, Ivana; Wu, Erica; Gotlib, Ian H; Aghaeepour, Nima; Druzin, Maurice L; Stevenson, David K; others. In American Journal of Obstetrics & Gynecology, 228(1), pp. S456-S457. Elsevier, 2023.
    • Cross-species comparative analysis of single presynapses. Berson, Eloise; Gajera, Chandresh R; Phongpreecha, Thanaphong; Perna, Amalia; Bukhari, Syed A; Becker, Martin; Chang, Alan L; De Francesco, Davide; Espinosa, Camilo; Ravindra, Neal G; others. In Scientific Reports, 13(1), p. 13849. Nature Publishing Group UK London, 2023.
    • Large-scale correlation network construction for unraveling the coordination of complex biological systems. Becker, Martin; Nassar, Huda; Espinosa, Camilo; Stelzer, Ina A.; Feyaerts, Dorien; Berson, Eloise; Bidoki, Neda H.; Chang, Alan L.; Saarunya, Geetha; Culos, Anthony; Francesco, Davide De; Fallahzadeh, Ramin; Liu, Qun; Kim, Yeasul; Maric, Ivana; Mataraso, Samson; Payrovnaziri, Seyedeh Neelufar; Phongpreecha, Thanaphong; Ravindra, Neal G.; Stanley, Natalie; Shome, Sayane; Tan, Yuqi; Thuraiappah, Melan; Xenochristou, Maria; Xue, Lei; Shaw, Gary; Stevenson, David; Angst, Martin S.; Gaudilliere, Brice; Aghaeepour, Nima. In Nature Computational Science. 2023.
    2022[ to top ]
    • A data-driven health inde...
      A data-driven health index for neonatal morbidities. {De Francesco}, Davide; Blumenfeld, Yair J.; Marić, Ivana; Mayo, Jonathan A.; Chang, Alan L.; Fallahzadeh, Ramin; Phongpreecha, Thanaphong; Butwick, Alex J.; Xenochristou, Maria; Phibbs, Ciaran S.; Bidoki, Neda H.; Becker, Martin; Culos, Anthony; Espinosa, Camilo; Liu, Qun; Sylvester, Karl G.; Gaudilliere, Brice; Angst, Martin S.; Stevenson, David K.; Shaw, Gary M.; Aghaeepour, Nima. In iScience, p. 104143. Elsevier, 2022.
    • Leukocyte telomere dynami...
      Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress. Panelli, Danielle M; Leonard, Stephanie A; Wong, Ronald J; Becker, Martin; Mayo, Jonathan A; Wu, Erica; Girsen, Anna I; Gotlib, Ian H; Aghaeepour, Nima; Druzin, Maurice L; others. In BMC Pregnancy and Childbirth, 22(1), pp. 1–12. BioMed Central, 2022.
    • Profiling functional disruption in biological systems. Becker, Martin; Feyaerts, Dorien; Stelzer, Ina A.; Berson, Eloise; Chang, Alan L.; Espinosa, Camilo; Francesco, Davide De; Fallahzadeh, Ramin; Maric, Ivana; Mataraso, Samson J.; Nassar, Huda; Phongpreecha, Thanaphong; Ravindra, Neal G.; Stanley, Natalie; Thuraiappah, Melan; Shaw, Gary; Stevenson, David; Angst, Martin S.; Gaudilliere, Brice; Aghaeepour, Nima. In Under review. 2022.
    • Multimodal machine learning models complex relationship of infant head circumference, mothers’ milk composition, and their shared environment. Becker, Martin; Rodriguez, Natalie; Miliku, Kozeta; Field, Catherine; Roberston, Bianca; Yonemitsu, Chloe; Bode, Lars; Simons, Elinor; Marshall, Jean; Dawod, Bassel; Mandhane, Piushkumar; Turvey, Stuart E.; Moraes, Theo J.; Subbarao, Padmaja; Azad, Meghan; Aghaeepour, Nima. In In preparation. 2022.
    • Early prediction and longitudinal modeling of preeclampsia from multiomics. Mari{{’c}}, Ivana; Contrepois, K{é}vin; Moufarrej, Mira N; Stelzer, Ina A; Feyaerts, Dorien; Han, Xiaoyuan; Tang, Andy; Stanley, Natalie; Wong, Ronald J; Traber, Gavin M; others. In Patterns, 3(12), p. 100655. Elsevier, 2022.
    • Machine Learning Techniques. Choi, Jeff; Aghaeepour, Nima; Becker, Martin. In Statistics and Research Methods for Acute Care and General Surgeons, M. Ceresoli, F. M. Abu-Zidan, K. L. Staudenmayer, F. Catena, F. Coccolini (eds.), pp. 147–164. Springer International Publishing, Cham, 2022.
    • Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning. Becker, Martin; Dai, Jennifer; Chang, Alan L; Feyaerts, Dorien; Stelzer, Ina A; Zhang, Miao; Berson, Eloise; Saarunya, Geetha; De Francesco, Davide; Espinosa, Camilo; others. In Frontiers in Pediatrics, 10. Frontiers Media SA, 2022.
    • In-Silico Generation of High-Dimensional Immune Response Data in Patients using a Deep Neural Network. Fallahzadeh, Ramin; Bidoki, Neda H; Stelzer, Ina A; Becker, Martin; Mari{{’c}}, Ivana; Chang, Alan L; Culos, Anthony; Phongpreecha, Thanaphong; Xenochristou, Maria; De Francesco, Davide; others. In Cytometry Part A. Wiley Online Library, 2022.
    2021[ to top ]
    • Objective Activity Parame...
      Objective Activity Parameters Track Patient-Specific Physical Recovery Trajectories After Surgery and Link With Individual Preoperative Immune States. Fallahzadeh, Ramin; Verdonk, Franck; Ganio, Ed; Culos, Anthony; Stanley, Natalie; Maric, Ivana; Chang, Alan L; Becker, Martin; Phongpreecha, Thanaphong; Xenochristou, Maria; others. In Annals of Surgery. LWW, 2021.
    • Deleterious and Protectiv...
      Deleterious and Protective Psychosocial and Stress-Related Factors Predict Risk of Spontaneous Preterm Birth. Becker, Martin; Mayo, Jonathan A; Phogat, Nisha K; Quaintance, Cecele C; Laborde, Ana; King, Lucy; Gotlib, Ian H; Gaudilliere, Brice; Angst, Martin S; Shaw, Gary M; Stevenson, David K; Aghaeepour, Nima; Dhabhar, Firdaus S. In American journal of perinatology. 2021.
    • Data-Driven Modeling of P...
      Data-Driven Modeling of Pregnancy-Related Complications. Espinosa, Camilo; Becker, Martin; Maric, Ivana; Wong, Ronald J.; Shaw, Gary M.; Gaudilliere, Brice; Aghaeepour, Nima; Stevenson, David K.; Stelzer, Ina A.; Peterson, Laura S.; Chang, Alan L.; Xenochristou, Maria; Phongpreecha, Thanaphong; {De Francesco}, Davide; Katz, Michael; Blumenfeld, Yair J.; Angst, Martin S. In Trends in Molecular Medicine. 2021.
    • Redescription Model Minin...
      Redescription Model Mining. Stamm, Felix I.; Becker, Martin; Strohmaier, Markus; Lemmerich, Florian. In Proceedings of the 27nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, of KDD ’21. ACM, 2021.
    • Single-synapse analyses o...
      Single-synapse analyses of Alzheimer’s disease implicate pathologic tau, DJ1, CD47, and ApoE. Phongpreecha, Thanaphong; Gajera, Chandresh R; Liu, Candace C; Vijayaragavan, Kausalia; Chang, Alan L; Becker, Martin; Fallahzadeh, Ramin; Fernandez, Rosemary; Postupna, Nadia; Sherfield, Emily; others. In Science advances, 7(51), p. eabk0473. American Association for the Advancement of Science, 2021.
    • Integrated trajectories o...
      Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Stelzer, Ina A.; Ghaemi, Mohammad S.; Han, Xiaoyuan; Ando, Kazuo; Hedou, Julien J.; Feyaerts, Dorien; Peterson, Laura S.; Rumer, Kristen K.; Tsai, Eileen S.; Ganio, Edward A.; Gaudilliere, Dyani K.; Tsai, Amy S.; Choisy, Benjamin; Gaigne, Lea P.; Verdonk, Franck; Jacobsen, Danielle; Gavasso, Sonia; Traber, Gavin M.; Ellenberger, Mathew; Stanley, Natalie; Becker, Martin; Culos, Anthony; Fallahzadeh, Ramin; Wong, Ronald J.; Darmstadt, Gary L.; Druzin, Maurice L.; Winn, Virginia D.; Gibbs, Ronald S.; Ling, Xuefeng B.; Sylvester, Karl; Carvalho, Brendan; Snyder, Michael P.; Shaw, Gary M.; Stevenson, David K.; Contrepois, Kevin; Angst, Martin S.; Aghaeepour, Nima; Gaudilliere, Brice. In Science Translational Medicine, 13(592). American Association for the Advancement of Science, 2021.
    • Risk assessment analysis ...
      Risk assessment analysis for maternal autoantibody-related autism (MAR-ASD): a subtype of autism. Ramirez-Celis, Alexandra; Becker, Martin; Nu{ñ}o, Miriam; Schauer, Joseph; Aghaeepour, Nima; Van de Water, Judy. In Molecular Psychiatry, pp. 1–10. Nature Publishing Group, 2021.
    2020[ to top ]
    • MapLUR: Exploring a New P...
      MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images. Steininger, Michael; Kobs, Konstantin; Zehe, Albin; Lautenschlager, Florian; Becker, Martin; Hotho, Andreas. In ACM Transactions on Spatial Algorithms and Systems (TSAS), 6(3), pp. 1–24. ACM New York, NY, USA, 2020.
    • Integration of mechanisti...
      Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Culos, Anthony; Tsai, Amy S; Stanley, Natalie; Becker, Martin; Ghaemi, Mohammad S; McIlwain, David R; Fallahzadeh, Ramin; Tanada, Athena; Nassar, Huda; Espinosa, Camilo; others. In Nature Machine Intelligence, 2(10), pp. 619–628. Nature Publishing Group, 2020.
    • OpenLUR: Off-the-shelf ai...
      OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning. Lautenschlager, Florian; Becker, Martin; Kobs, Konstantin; Steininger, Michael; Davidson, Padraig; Krause, Anna; Hotho, Andreas. In Atmospheric Environment, 233, p. 117535. 2020.
    • VoPo leverages cellular h...
      VoPo leverages cellular heterogeneity for predictive modeling of single-cell data. Stanley, Natalie; Stelzer, Ina A.; Tsai, Amy S.; Fallahzadeh, Ramin; Ganio, Edward; Becker, Martin; Phongpreecha, Thanaphong; Nassar, Huda; Ghaemi, Sajjad; Maric, Ivana; Culos, Anthony; Chang, Alan L.; Xenochristou, Maria; Han, Xiaoyuan; Espinosa, Camilo; Rumer, Kristen; Peterson, Laura; Verdonk, Franck; Gaudilliere, Dyani; Tsai, Eileen; Feyaerts, Dorien; Einhaus, Jakob; Ando, Kazuo; Wong, Ronald J.; Obermoser, Gerlinde; Shaw, Gary M.; Stevenson, David K.; Angst, Martin S.; Gaudilliere, Brice; Aghaeepour, Nima. In Nature Communications, 11(1), p. 3738-. 2020.
    • Multiomics Characterizati...
      Multiomics Characterization of Preterm Birth in Low- and Middle-Income Countries. Jehan, Fyezah; Sazawal, Sunil; Baqui, Abdullah H.; Nisar, Muhammad Imran; Dhingra, Usha; Khanam, Rasheda; Ilyas, Muhammad; Dutta, Arup; Mitra, Dipak K.; Mehmood, Usma; Deb, Saikat; Mahmud, Arif; Hotwani, Aneeta; Ali, Said Mohammed; Rahman, Sayedur; Nizar, Ambreen; Ame, Shaali Makame; Moin, Mamun Ibne; Muhammad, Sajid; Chauhan, Aishwarya; Begum, Nazma; Khan, Waqasuddin; Das, Sayan; Ahmed, Salahuddin; Hasan, Tarik; Khalid, Javairia; Rizvi, Syed Jafar Raza; Juma, Mohammed Hamad; Chowdhury, Nabidul Haque; Kabir, Furqan; Aftab, Fahad; Quaiyum, Abdul; Manu, Alexander; Yoshida, Sachiyo; Bahl, Rajiv; Rahman, Anisur; Pervin, Jesmin; Winston, Jennifer; Musonda, Patrick; Stringer, Jeffrey S. A.; Litch, James A.; Ghaemi, Mohammad Sajjad; Moufarrej, Mira N.; Contrepois, Kevin; Chen, Songjie; Stelzer, Ina A.; Stanley, Natalie; Chang, Alan L.; Hammad, Ghaith Bany; Wong, Ronald J.; Liu, Candace; Quaintance, Cecele C.; Culos, Anthony; Espinosa, Camilo; Xenochristou, Maria; Becker, Martin; Fallahzadeh, Ramin; Ganio, Edward; Tsai, Amy S.; Gaudilliere, Dyani; Tsai, Eileen S.; Han, Xiaoyuan; Ando, Kazuo; Tingle, Martha; Maric, Ivana; Wise, Paul H.; Winn, Virginia D.; Druzin, Maurice L.; Gibbs, Ronald S.; Darmstadt, Gary L.; Murray, Jeffrey C.; Shaw, Gary M.; Stevenson, David K.; Snyder, Michael P.; Quake, Stephen R.; Angst, Martin S.; Gaudilliere, Brice; Aghaeepour, Nima. In JAMA Network Open, 3, pp. e2029655-e2029655. 2020.
    2018[ to top ]
    • A White-Box Model for Det...
      A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. Zehe, Albin; Schlör, Daniel; Henny-Krahmer, Ulrike; Becker, Martin; Hotho, Andreas. In Digital Humanities, J. G. Palau, I. G. Russell (eds.), pp. 519–521. ADHO, 2018.
    • Adaptive kNN Using Expect...
      Adaptive kNN Using Expected Accuracy for Classification of Geo-spatial Data. Kibanov, Mark; Becker, Martin; Mueller, Juergen; Atzmueller, Martin; Hotho, Andreas; Stumme, Gerd. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, of SAC ’18, pp. 857–865. ACM, Pau, France, 2018.
    • Burrows’ Zeta: Explorin...
      Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. Schöch, Christof; Schlör, Daniel; Zehe, Albin; Gebhard, Henning; Becker, Martin; Hotho, Andreas. In Digital Humanities, J. G. Palau, I. G. Russell (eds.), pp. 274–277. 2018.
    • Air Trails--Urban Air Qua...
      Air Trails--Urban Air Quality Campaign Exploration Patterns. Becker, Martin; Lautenschlager, Florian; Hotho, Andreas. In Proceedings of VGI-ALIVE 2018 Workshop, colocated with AGILE 2018. 2018.
    • Understanding Human Navig...
      Understanding Human Navigation using Bayesian Hypothesis Comparison. Technical Report (PhD dissertation), . Becker, Martin. PhD dissertation. University of W{ü}rzburg, 2018.
    • Healing Time Correlates W...
      Healing Time Correlates With the Quality of Scaring: Results From a Prospective Randomized Control Donor Site Trial. Werdin, Frank; Tenenhaus, Mayer; Becker, Martin; Rennekampff, Hans-Oliver. In Dermatologic Surgery, 44(4), pp. 521–527. LWW, 2018.
    • EveryAware Gears: A Tool ...
      EveryAware Gears: A Tool to visualize and analyze all types of Citizen Science Data. Lautenschlager, Florian; Becker, Martin; Steininger, Michael; Hotho, Andreas. In Proceedings of VGI Geovisual Analytics Workshop, colocated with BDVA 2018, D. Burghardt, S. Chen, G. Andrienko, N. Andrienko, R. Purves, A. Diehl (eds.). KOPS, 2018.
    • pysubgroup: Easy-to-Use S...
      pysubgroup: Easy-to-Use Subgroup Discovery in Python. Lemmerich, Florian; Becker, Martin. In ECML/PKDD (3), Vol. 11053 of Lecture Notes in Computer Science, U. Brefeld, E. Curry, E. Daly, B. MacNamee, A. Marascu, F. Pinelli, M. Berlingerio, N. Hurley (eds.), pp. 658–662. Springer, 2018.
    2017[ to top ]
    • MixedTrails: Bayesian hyp...
      MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data. Becker, Martin; Lemmerich, Florian; Singer, Philipp; Strohmaier, Markus; Hotho, Andreas. In Data Mining and Knowledge Discovery, 31(5), pp. 1359–1390. 2017.
    • Comparing Hypotheses Abou...
      Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications. Lemmerich, Florian; Singer, Philipp; Becker, Martin; Espin-Noboa, Lisette; Dimitrov, Dimitar; Helic, Denis; Hotho, Andreas; Strohmaier, Markus. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 354–357. Springer, 2017.
    • Experimental Assessment o...
      Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson. Gravino, Pietro; Sirbu, Alina; Becker, Martin; Servedio, Vito DP; Loreto, Vittorio. In Participatory Sensing, Opinions and Collective Awareness, pp. 337–362. Springer International Publishing, Cham, 2017.
    • Eleven-Week Preparation I...
      Eleven-Week Preparation Involving Polarized Intensity Distribution Is Not Superior to Pyramidal Distribution in National Elite Rowers. Treff, Gunnar; Winkert, Kay; Sareban, Mahdi; Steinacker, Jürgen M.; Becker, Martin; Sperlich, Billy. In Frontiers in Physiology, 8, p. 515. 2017.
    • Sedentary Behavior among ...
      Sedentary Behavior among National Elite Rowers during Off-Training—A Pilot Study. Sperlich, Billy; Becker, Martin; Hotho, Andreas; Wallmann-Sperlich, Birgit; Sareban, Mahdi; Winkert, Kay; Steinacker, Jürgen M.; Treff, Gunnar. In Frontiers in Physiology, 8, p. 655. 2017.
    • Collective Sensing Platfo...
      Collective Sensing Platforms. Atzmueller, Martin; Becker, Martin; Mueller, Juergen. In Participatory Sensing, Opinions and Collective Awareness, V. Loreto, M. Haklay, A. Hotho, V. D. Servedio, G. Stumme, F. Tria, J. Theunis (eds.), pp. 115–133. Springer International Publishing, Cham, 2017.
    • Towards Sentiment Analysi...
      Towards Sentiment Analysis on German Literature. Zehe, Albin; Becker, Martin; Jannidis, Fotis; Hotho, Andreas. In Joint German/Austrian Conference on Artificial Intelligence (K{ü}nstliche Intelligenz), pp. 387–394. Springer, 2017.
    • Learning Semantic Related...
      Learning Semantic Relatedness from Human Feedback Using Relative Relatedness Learning. Niebler, Thomas; Becker, Martin; Pölitz, Christian; Hotho, Andreas. In Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), N. Nikitina, D. Song, A. Fokoue, P. Haase (eds.). 2017.
    • Applications for Environm...
      Applications for Environmental Sensing in EveryAware. Atzmueller, Martin; Becker, Martin; Molino, Andrea; Mueller, Juergen; Peters, Jan; Sirbu, Alina. In Participatory Sensing, Opinions and Collective Awareness, V. Loreto, M. Haklay, A. Hotho, V. D. Servedio, G. Stumme, F. Tria, J. Theunis (eds.), pp. 135–155. Springer International Publishing, Cham, 2017.
    2016[ to top ]
    • SparkTrails: A MapReduce ...
      SparkTrails: A MapReduce Implementation of HypTrails for Comparing Hypotheses About Human Trails. Becker, Martin; Mewes, Hauke; Hotho, Andreas; Dimitrov, Dimitar; Lemmerich, Florian; Strohmaier, Markus. In International Conference Companion on World Wide Web, of WWW ’16 Companion, pp. 17–18. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 2016.
    • FolkTrails: Interpreting ...
      FolkTrails: Interpreting navigation behavior in a social tagging system. Niebler, Thomas; Becker, Martin; Zoller, Daniel; Doerfel, Stephan; Hotho, Andreas. In International on Conference on Information and Knowledge Management, of CIKM ’16, pp. 2311–2316. ACM, New York, NY, USA, 2016.
    • Mining Subgroups with Exc...
      Mining Subgroups with Exceptional Transition Behavior. Lemmerich, Florian; Becker, Martin; Singer, Philipp; Helic, Denis; Hotho, Andreas; Strohmaier, Markus. In Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, of KDD ’16, pp. 965–974. ACM, San Francisco, California, USA, 2016.
    • Prediction of Happy Endin...
      Prediction of Happy Endings in German Novels. Zehe, Albin; Becker, Martin; Hettinger, Lena; Hotho, Andreas; Reger, Isabella; Jannidis, Fotis. In Proceedings of the Workshop on Interactions between Data Mining and Natural Language Processing 2016, P. Cellier, T. Charnois, A. Hotho, S. Matwin, M.-F. Moens, Y. Toussaint (eds.), pp. 9–16. 2016.
    • Extracting Semantics from...
      Extracting Semantics from unconstrained navigation on wikipedia. Niebler, Thomas; Schlör, Daniel; Becker, Martin; Hotho, Andreas. In KI - Künstliche Intelligenz, 30(2), pp. 163–168. Springer Berlin Heidelberg, 2016.
    2015[ to top ]
    • Exploratory Subgroup Anal...
      Exploratory Subgroup Analytics on Ubiquitous Data. Atzmueller, Martin; Mueller, Juergen; Becker, Martin. In Mining, Modeling, and Recommending ’Things’ in Social Media, M. Atzmueller, A. Chin, C. Scholz, C. Trattner (eds.), pp. 1–20. Springer International Publishing, Cham, 2015.
    • Photowalking the City: Co...
      Photowalking the City: Comparing Hypotheses About Urban Photo Trails on Flickr. Becker, Martin; Singer, Philipp; Lemmerich, Florian; Hotho, Andreas; Helic, Denis; Strohmaier, Markus. In International Conference on Social Informatics, T.-Y. Liu, C. N. Scollon, W. Zhu (eds.), pp. 227–244. Springer International Publishing, Cham, 2015.
    • ConDist: A Context-Driven...
      ConDist: A Context-Driven Categorical Distance Measure. Ring, Markus; Otto, Florian; Becker, Martin; Niebler, Thomas; Landes, Dieter; Hotho, Andreas. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), A. Appice, P. P. Rodrigues, V. S. Costa, C. Soares, J. Gama, A. Jorge (eds.), pp. 251–266. Springer International Publishing, Cham, 2015.
    • VizTrails: An Information...
      VizTrails: An Information Visualization Tool for Exploring Geographic Movement Trajectories. Becker, Martin; Singer, Philipp; Lemmerich, Florian; Hotho, Andreas; Helic, Denis; Strohmaier, Markus. In Conference on Hypertext & Social Media, of HT ’15, pp. 319–320. ACM, Guzelyurt, Northern Cyprus, 2015.
    • Participatory patterns in...
      Participatory patterns in an international air quality monitoring initiative. Sirbu, Alina; Becker, Martin; Caminiti, Saverio; De Baets, Bernard; Elen, Bart; Francis, Louise; Gravino, Pietro; Hotho, Andreas; Ingarra, Stefano; Loreto, Vittorio; Molino, Andrea; Mueller, Juergen; Peters, Jan; Ricchiuti, Ferdinando; Saracino, Fabio; Servedio, Vito D. P.; Stumme, Gerd; Theunis, Jan; Tria, Francesca; Van den Bossche, Joris. In PLoS ONE, 10(8), p. e0136763. Public Library of Science, 2015.
    • Genre Classification on G...
      Genre Classification on German Novels. Hettinger, Lena; Becker, Martin; Reger, Isabella; Jannidis, Fotis; Hotho, Andreas. In 26th International Workshop on Database and Expert Systems Applications (DEXA), pp. 249–253. 2015.
    • MicroTrails: Comparing Hy...
      MicroTrails: Comparing Hypotheses About Task Selection on a Crowdsourcing Platform. Becker, Martin; Borchert, Kathrin; Hirth, Matthias; Mewes, Hauke; Hotho, Andreas; Tran-Gia, Phuoc. In International Conference on Knowledge Technologies and Data-driven Business, pp. 10:1–10:8. ACM, New York, NY, USA, 2015.
    2014[ to top ]
    • Ubicon and its applicatio...
      Ubicon and its applications for ubiquitous social computing. Atzmueller, Martin; Becker, Martin; Kibanov, Mark; Scholz, Christoph; Doerfel, Stephan; Hotho, Andreas; Macek, Bjoern-Elmar; Mitzlaff, Folke; Mueller, Juergen; Stumme, Gerd. In New Review of Hypermedia and Multimedia, 20(1), pp. 53–77. 2014.
    • Subjective vs. Objective ...
      Subjective vs. Objective Data: Bridging the Gap. Becker, Martin; Hotho, Andreas; Mueller, Juergen; Kibanov, Mark; Atzmueller, Martin; Stumme, Gerd. 2014.
    2013[ to top ]
    • Awareness and learning in...
      Awareness and learning in participatory noise sensing. Becker, Martin; Caminiti, Saverio; Fiorella, Donato; Francis, Louise; Gravino, Pietro; Haklay, Mordechai (Muki); Hotho, Andreas; Loreto, Vittorio; Mueller, Juergen; Ricchiuti, Ferdinando; Servedio, Vito D. P.; Sirbu, Alina; Tria, Francesca. In PLOS ONE, 8(12), p. e81638. 2013.
    • Difference-Based Estimate...
      Difference-Based Estimates for Generalization-Aware Subgroup Discovery. Lemmerich, Florian; Becker, Martin; Puppe, Frank. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), of Lecture Notes in Computer Science, H. Blockeel, K. Kersting, S. Nijssen, F. Zelezny (eds.), pp. 288–303. Springer, Berlin, Heidelberg, 2013.
    • Tag Recommendations for S...
      Tag Recommendations for SensorFolkSonomies. Mueller, Juergen; Doerfel, Stephan; Becker, Martin; Hotho, Andreas; Stumme, Gerd. In 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), of CEUR Workshop Proceedings. CEUR-WS, 2013.
    • A Generic Platform for Ub...
      A Generic Platform for Ubiquitous and Subjective Data. Becker, Martin; Mueller, Juergen; Hotho, Andreas; Stumme, Gerd. In Conference on Pervasive and Ubiquitous Computing Adjunct Publication, of UbiComp ’13 Adjunct, pp. 1175–1182. New York, NY, USA, 2013.
    2012[ to top ]
    • Ubicon: Observing Social ...
      Ubicon: Observing Social and Physical Activities. Atzmueller, Martin; Becker, Martin; Doerfel, Stephan; Kibanov, Mark; Hotho, Andreas; Macek, Björn-Elmar; Mitzlaff, Folke; Mueller, Juergen; Scholz, Christoph; Stumme, Gerd. In International Conference on Green Computing and Communications, pp. 317–324. IEEE, Washington, DC, USA, 2012.
    • Generic Pattern Trees for...
      Generic Pattern Trees for Exhaustive Exceptional Model Mining. Lemmerich, Florian; Becker, Martin; Atzmueller, Martin. In European Conference on Machine Learning and Knowledge Discovery in Databases, P. A. Flach, T. De Bie, N. Cristianini (eds.), pp. 277–292. Springer Berlin Heidelberg, Berlin, Heidelberg, 2012.
    2011[ to top ]
    • Constraint Based Descript...
      Constraint Based Descriptive Pattern Mining. Technical Report (Master thesis), . Becker, Martin. Master thesis. University of Wuerzburg, 2011.

    Teaching

    Seminar Ausgewählte Themen des Web 2.0

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

    Information Retrieval

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