Publications

Journal Papers

2015

  • Kelly Oh, Linu Abraham, Chandler Gegg, Christian Silvestri, Yung-Chi Huang, Mark Alkema, Jacob Furst, Daniela Raicu, Hongkyun Kim, “Presynaptic BK channel localization is dependent on the hierarchical organization of alpha-catulin and dystrobrevin and fine-tuned by CaV2 calcium channels”, BMC Neuroscience 04/2015.
  • Ron Niehaus, Daniela Raicu, Jacob Furst, Samuel Armato III, “Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis”, Journal of Digital Imaging 02/2015.
  • Jose Zamacona, Ronald Niehaus, Alexander Rasin, Jacob Furst, Daniela Raicu, “Assessing diagnostic complexity: An image feature-based strategy to reduce annotation costs”, Computers in Biology and Medicine 02/2015; p. 62.

2013

  • J. Piane, Daniela Raicu, Jacob Furst, “Training industrial robots with gesture recognition techniques”, Proceedings of IS&T/SPIE Electronic Imaging, Burlingame, California, Feb. 3-7, 2013

2012

  • A. Giuca, K. Seitz Jr., Jacob Furst, Daniela Raicu, “Expanding diagnostically labeled datasets using content-based image retrieval”, IEEE International Conference on Image Processing, Lake Buena Vista, Florida September 30 – October 3, 2012
  • A. Giuca, K. Seitz Jr., Jacob Furst, Daniela Raicu, “Learning lung nodule similarity using a genetic algorithm”, SPIE Medical Imaging , San Diego, USA, 2012

2011

  • Y. Zhang, N. Tomuro, Jacob Furst, Daniela Raicu, “Building an ensemble system for diagnosing masses in mammograms”. International Journal of Computer Assisted Radiology and Surgery; ISSN: 1861-6410, p. 1-7.
  • D. Zinovev, Jacob Furst, Daniela Raicu, “Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation”, The 10th International Conference on Machine Learning and Applications (ICMLA’11), December 18-21, 2011.
  • D. Zinovev, Y. Duo, Daniela Raicu, Jacob Furst, Samuel Armato III, “Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database”. Journal of Digital Imaging, 12/2011.
  • D. Zinovev, J. Feigenbaum, Daniela Raicu, Jacob Furst, “Probabilistic lung nodule classification with belief decision trees”, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
  • Bronikowski C. M., Weng A., Jacob Furst, Daniela Raicu, “Prediction of Chronic Fatigue Syndrome Using Decision Tree-based Ensemble Methods”, International Conference on Artificial Intelligence (ICAI), Las Vegas, Nevada, 2011.
  • O. Zinoveva, D. Zinovev, Siena S. A., Daniela Raicu, Jacob Furst, Samuel Armato III, “A texture-based probabilistic approach for lung nodule segmentation”, Lecture Notes in Computer Science, International Conference on Image Analysis and Recognition, 2011.
  • William H. Horsthemke, Daniela Raicu, Jacob Furst, “Evaluation Challenges for Bridging Semantic Gap”, International journal of healthcare information systems and informatics 07/2011; 4(1), p. 17-33.
  • Jacob V. Gardner, Daniela Raicu, Jacob Furst, “A Context-Aware Approach to Content-Based Image Retrieval of Lung Nodules”, Proceedings of SPIE – The International Society for Optical Engineering 03/2011; p. 7963-85.
  • Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Raicu, “Building Multiple Weak Segmentors for Strong Mass Segmentation in Mammograms”, Proceedings of SPIE – The International Society for Optical Engineering 03/2011; p. 7962.

2010

  • Xuchang Zou, Raffaella Settimi, Jane Cleland-Huang, “Improving automated requirements trace retrieval: A study of term-based enhancement methods”, Empirical Software Engineering 04/2010; 15(2): p. 119-146.
  • Kim R., Dasovich G., Bhaumik R., Brock R., Jacob Furst, Daniela Raicu, “An Investigation into the Relationship between Semantic and Content Based Similarity using LIDC”, ACM International Conference on Multimedia Information Retrieval (MIR) 2010, Philadelphia, Pennsylvania, March 29-31, 2010.
  • P. Opulencia, D.S. Channin, Daniela Raicu, Jacob Furst, “Mapping LIDC, RadLex, and Lung Nodule Image Features”, Journal of Digital Imaging (JDI), p-p: 256-70, 2010.
  • Suzanne Fogel, “Issues in Measurement of Word of Mouth in Social Media Marketing,” International Journal of Integrated Marketing Communications, 2, 54-60, 2010.
  • Suzanne Fogel and T. Berry, “The Disposition Effect and Individual Investor Decisions: The Roles of Regret and Counterfactual Alternatives”, Handbook of Behavioral Finance, Brian Bruce, (Ed.), Edward Elgar: Northampton, MA, 65-80, 2010.

2009

  • Daniela Raicu, D. Zinovev, Jacob Furst, E. Varutbangkul, “Semi-supervised Learning Approaches for Diagnostic Decision Making”, Advances in Medical Intelligent Decision Support Systems: Special Issue of the Intelligent Decision Technologies (IDT) Journal,Vol. 3, No. 2, 2009.
  • Daniela Raicu, E. Varutbangkul, Jacob Furst, Samuel Armato III, “Modeling semantics from image data: opportunities from LIDC”, Special issue “Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment” of the International Journal of Biomedical Engineering, Vol. 2, (3), 2009.
  • M. Ramezani, J.J. Sandvig, T. Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin Burke, “Evaluating the Impact of Attacks in Collaborative Tagging Environments”, IEEE International Conference on Social Computing, Vancouver, Canada, August 2009. CSE (4) 2009: p. 136-143.

2008

  • Jonathan Gemmell, A. Shepitsen, Bamshad Mobasher, Robin Burke, “Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering”, Proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK ’08), Turin, Italy. Lecture Notes in Computer Science 5182, pp. 196-205, Springer, September, 2008.

2007

  • Bamshad Mobasher, “Data Mining for Personalization”, In The Adaptive Web: Methods and Strategies of Web Personalization, Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.). Lecture Notes in Computer Science. Vol. 4321. Springer, Berlin Heidelberg, 2007.
  • Bamshad Mobasher, Robin Burke, C. Williams, R. Bhaumik, “Toward Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithms”, ACM Transactions in Internet Technologies, Vol. 7, No. 4, 2007.
  • A. Sieg, Bamshad Mobasher, Robin Burke, “Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search”, IEEE Intelligent Informatics Bulletin, Vol. 8, No. 1, p. 7-18, 2007.
  • Jane Cleland-Huang, Raffaella Settimi, Eli Romanova, Brian Berenbach, Stephen Clark, Best practices for automated traceability, Computer 07/2007; 40(6-40):27 – 35.
  • Jane Cleland-Huang, Raffaella Settimi, Xuchang Zou, Peter Solc, Automated classification of non-functional requirements, Requirements Engineering 05/2007; 12(2):103-120.
  • M Doran, Daniela Raicu, Jacob Furst, R Settimi, M Schipma, D P Chandler, Oligonucleotide microarray identification of Bacillus anthracis strains using support vector machines, Bioinformatics 03/2007; 23(4):487-92.

2006

  • Bamshad Mobasher, B. Liu, B. Masand, O. Nasraoui, “Advances in Web mining and Web Usage Analysis”, Lecture Notes in Computer Science, Volume 3932, Springer, 2006. ISBN: 978-3-540-47127-1.

CONFERENCE PAPERS

2015

  • Bamshad Mobasher Robin Burke Yong Zheng, CARSKit: A Java-Based Context-aware Recommendation Engine, Proceedings of the 15th IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NJ, USA, Nov 2015; 11/2015.
  • Bamshad Mobasher Robin Burke Yong Zheng, Similarity-Based Context-Aware Recommendation, Proceedings of the 16th International Conference on Web Information Systems Engineering (WISE 2015), Miami Beach, Florida, USA, Nov 2015; 11/2015.
  • Bamshad Mobasher Robin Burke Yong Zheng, Incorporating Context Correlation into Context-aware Matrix Factorization, Proceedings of the 24th International Joint Conferences on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 2015; 07/2015.
  • Bamshad Mobasher Robin Burke Yong Zheng, Integrating Context Similarity with Sparse Linear Recommendation Model, The 23rd Conference on User Modeling, Adaptation and Personalization (UMAP 2015), Dublin, Ireland, June 2015, Dublin, Ireland; 06/2015.
  • Bamshad Mobasher Robin Burke Yong Zheng, Correlation-Based Context-aware Matrix Factorization, Proceedings of School of Computing Research Symposium (SOCRS 2015), DePaul University,Chicago,May 29,2015; 05/2015.

2014

  • Bamshad Mobasher Robin Burke Yong Zheng, Deviation-Based Contextual SLIM Recommenders, Proceedings of the 23rd ACM Conference on Information and Knowledge Management (ACM CIKM 2014), Shanghai, P.R.China, Nov 2014; 11/2014.
  • Bamshad Mobasher Robin Burke Yong Zheng, CSLIM: Contextual SLIM recommendation algorithms, Proceedings of the 8th ACM Conference on Recommender Systems (ACM RecSys 2014), Silicon Valley, Foster City, CA USA, Oct 2014; 10/2014.
  • Bamshad Mobasher Robin Burke Yong Zheng, Context Recommendation Using Multi-label Classification, Proceedings of the 13th IEEE/WIC/ACM Conference on Web Intelligence (IEEE/WIC/ACM WI 2014), p. 288-295, Warsaw, Poland, Aug 2014; 08/2014.
  • Bamshad Mobasher Robin Burke Yong Zheng, Splitting Approaches for Context-Aware Recommendation: An Empirical Study, Proceedings of the 29th ACM Symposium on Applied Computing (ACM SAC 2014), Gyeongju, Korea, Mar 2014; 03/2014.

2013

  • Bamshad Mobasher Robin Burke Yong Zheng, The Role of Emotions in Context-aware Recommendation, Proceedings of the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, P.R.China, Oct 2013, Hong Kong; 10/2013.
  • Bamshad Mobasher Robin Burke Yong Zheng, Recommendation with Differential Context Weighting, The 21st Conference on User Modeling, Adaptation and Personalization (UMAP 2013); 06/2013.
  • Bamshad Mobasher Robin Burke Yong Zheng, Differential Context Modeling in Collaborative Filtering, Proceedings of School of Computing Research Symposium (SOCRS 2013), DePaul University, Chicago, IL USA, May 31, 2013; 05/2013.
  • Zahra Ferdowsi Rayid Ghani Raffaella Settimi, Online Active Learning with Imbalanced Classes, 2013 IEEE International Conference on Data Mining (ICDM); 12/2013.
  • Jose R. Zamacona Alexander Rasin Jacob Furst Daniela Raicu, Reducing Classification Cost through Strategic Annotation Assignment, Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops; 12/2013.
  • Ethan Smith Patrick Stein Jacob Furst Daniela Raicu, Weak Segmentations and Ensemble Learning to Predict Semantic Ratings of Lung Nodules, Proceedings of the 2013 12th International Conference on Machine Learning and Applications; 12/2013.
  • Alexander Rasin Stan Zdonik, An automatic physical design tool for clustered column-stores, Proceedings of the 16th International Conference on Extending Database Technology; 03/2013.

2012

  • Laura Christiansen Thomas Schimoler Robin Burke Bamshad Mobasher, Modeling topic trends on the social web using temporal signatures, Proceedings of the twelfth international workshop on Web information and data management; 11/2012.
  • Bamshad Mobasher Robin Burke Yong Zheng, Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation, Proceedings of the 4th International Workshop on Context-Aware Recommender Systems (CARS 2012); 01/2012.
  • Bamshad Mobasher Robin Burke Yong Zheng, Differential Context Relaxation for Context-Aware Travel Recommendation, 13th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2012); 01/2012.

2011

  • Negar Hariri Bamshad Mobasher Robin Burke Yong Zheng, Context-Aware Recommendation Based On Review Mining, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain; 07/2011.
  • Horatiu Dumitru Marek Gibiec Negar Hariri Jane Cleland-Huang Bamshad Mobasher Carlos Castro-Herrera Mehdi Mirakhorli, On-demand feature recommendations derived from mining public product descriptions, Proceedings of the 33rd International Conference on Software Engineering (ICSE 2011), Waikiki, Honolulu, HI, USA, May 21-28, 2011; 01/2011.
  • Jonathan Gemmell Thomas Schimoler Bamshad Mobasher Robin Burke, Tag-Based Resource Recommendation in Social Annotation Applications, 19th International Conference on User Modeling, Adaption and Personalization (UMAP 2011), Girona, Spain, July 11-15, 2011. Proceedings; 01/2011.
  • Jonathan Gemmell Thomas Schimoler Bamshad Mobasher Robin Burke, Recommendation by Example in Social Annotation Systems, 12th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2011), Toulouse, France, August 30 – September 1, 2011; 01/2011.

2010

  • Jonathan Gemmell Thomas Schimoler Bamshad Mobasher Robin Burke, Hybrid tag recommendation for social annotation systems, Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010; 01/2010.
  • Jonathan Gemmell Thomas Schimoler Bamshad Mobasher Robin Burke, Resource Recommendation in Collaborative Tagging Applications, 11th International Conference on Electronic Commerce and Web Technologies (EC-WEB 2010), Bilbao, Spain, September 1-3, 2010; 01/2010.
  • Zahra Ferdowsi Raffaella Settimi Daniela Raicu, An Application of Clustering Techniques to Urban Studies, Proceedings of The 2010 International Conference on Data Mining (DMIN 2010), July 12-15, 2010, Las Vegas, Nevada, USA; 01/2010.

2009

  • Carlos Castro-Herrera Jane Cleland-Huang Bamshad Mobasher, Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation – RE 2009, 17th IEEE International Requirements Engineering Conference, Atlanta, Georgia, USA, August 31 – September 4, 2009; 01/2009.
  • Jonathan Gemmell Maryam Ramezani Thomas Schimoler Laura Christiansen Bamshad Mobasher, The impact of ambiguity and redundancy on tag recommendation in folksonomies, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
  • Dietmar Jannach Werner Geyer Casey Dugan Jill Freyne Sarabjot Singh Anand Bamshad Mobasher Alfred Kobsa, Workshop on recommender systems and the social web, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
  • Carlos Castro-Herrera Jane Cleland-Huang Bamshad Mobasher, A recommender system for dynamically evolving online forums, Proceedings of the 2009 ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 23-25, 2009; 01/2009.
  • Carlos Castro-Herrera Chuan Duan Jane Cleland-Huang Bamshad Mobasher, A recommender system for requirements elicitation in large-scale software projects, Proceedings of the 2009 ACM Symposium on Applied Computing (SAC 2009), Honolulu, Hawaii, USA, March 9-12, 2009; 01/2009.
  • Jonathan Gemmell Thomas Schimoler Maryam Ramezani Bamshad Mobasher, Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies, Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI 2009); 01/2009.
  • Y. Zhang Noriko Tomuro Jacob Furst Daniela Raicu, Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms, Medical Content-Based Retrieval for Clinical Decision Support, 1st MICCAI International Workshop (MCBR-CDS 2009), London, UK, September 20, 2009; 09/2009.
  • Daniela Raicu Jacob Furst, Enhancing undergraduate education: A REU model for interdisciplinary research, Proceedings of the 40th SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2009), Chattanooga, TN, USA, March 4-7, 2009; 04/2009.
  • Joseph S. Wantroba Daniela Raicu Jacob Furst, A statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the lung, Proceedings of the International Conference on Image Processing (ICIP 2009), 7-10 November 2009, Cairo, Egypt; 01/2009.
  • Andrew Pavlo Erik Paulson Alexander Rasin Daniel J. Abadi David J. DeWitt Samuel Madden Michael Stonebraker, A Comparison of approaches to large-scale data analysis, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), Providence, Rhode Island, USA, June 29 – July 2, 2009; 01/2009.

2008

  • Xuchang Zou Raffaella Settimi Jane Cleland-Huang, Evaluating the Use of Project Glossaries in Automated Trace Retrieval, Proceedings of the 2008 International Conference on Software Engineering Research & Practice (SERP 2008), July 14-17, 2008, Las Vegas Nevada, USA; 01/2008.
  • Stefan Michel Stephen W. Brown Andrew S. Gallan, Creating Innovative Service for the Bottom of the Pyramide, Frontiers in Services; 01/2008.
  • Andriy Shepitsen Jonathan Gemmell Bamshad Mobasher Robin Burke, Personalized recommendation in social tagging systems using hierarchical clustering, Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 2008), Lausanne, Switzerland, October 23-25, 2008; 01/2008.

2006

  • Jane Cleland-Huang Raffaella Settimi Xuchang Zou Peter Solc, The Detection and Classification of Non-Functional Requirements with Application to Early Aspects, 14th IEEE International Conference on Requirements Engineering (RE 2006), 11-15 September 2006, Minneapolis/St.Paul, Minnesota, USA; 01/2006.
  • Jun Lin Chan Chou Lin Jane Cleland-Huang Raffaella Settimi Joseph Amaya Grace Bedford Brian Berenbach Oussama Ben Khadra Chuan Duan Xuchang Zou, Poirot: A Distributed Tool Supporting Enterprise-Wide Automated Traceability, 14th IEEE International Conference on Requirements Engineering (RE 2006), 11-15 September 2006, Minneapolis/St.Paul, Minnesota, USA; 01/2006.
  • Xuchang Zou Raffaella Settimi Jane Cleland-Huang, Phrasing in Dynamic Requirements Trace Retrieval, 30th Annual International Computer Software and Applications Conference (COMPSAC 2006), 17-21 September 2006, Chicago, Illinois, USA; 01/2006.