Xie, Yejing, Mouchère, Harold, and Zanibbi, Richard. (2024) Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition. arXiv, no. 2410.18555.
Zanibbi, R., Mansouri, B., and Agarwal, A. (2024) Mathematical Information Retrieval: Search and Question Answering. To appear, in Foundations and Trends in Information Retrieval, Now Publishers. (Draft: arXiv link)
Langsenkamp, M., Amador, B., and Zanibbi, R. (2024) A Study of PHOC Spatial Region Configurations for Math Formula Retrieval. arXiv, no. 2408.09283.
Giacalone, B., and Zanibbi, R. (2024) ColBERT's [MASK]-based Query Augmentation: Effects of Quadrupling the Query Input Length. arXiv, no 2408.13672.
Shah, A.K., Amador, B., Dey, A., Creekmore, M., Ocampo, B., Denmark, and Zanibbi, R. (2024) ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing. ICDAR (Journal Track).
Truong, T.-N., Nguyen, C.T., Zanibbi, R., Mouchère, H., and Nakagawa, M. (2024) A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognition. preprint version.
Giacalone, B., Paiement, G., Tucker, Q. Tucker, and Zanibbi, R. (2024) Beneath the [MASK]: An Analysis of Structural Tokens in ColBERT. ECIR 2024.
Shah, A.K., and Zanibbi, R. (2023) Line-of-sight with Graph Attention Parser (LGAP) for Math Formulas. ICDAR 2023.
Amador, B., Langsenkamp, M., Dey, A., Shah, A.K., and Zanibbi, R. (2023) Searching the ACL Anthology with Math Formulas and Text. SIGIR 2023 (demonstration paper).
Fink, G., Jain, R., Kise, K., and Zanibbi, R. (2023) Proceedings of the International Conference on Document Analysis and Recognition 2023. Springer, LNCS (multiple volumes). Proceedings freely available for one year after the conference.
Fink, G., Jain, R., Kise, K., and Zanibbi, R. (2023). Special Issue: Advanced Topics in Document Analysis and Recognition. International Journal on Document Analysis and Recognition. International Journal on Document Analysis and Recognition, Vol 26, No. 3 (ICDAR Journal Track Papers)
Giacalone, B., Paiement, G., Tucker, Q. Tucker, and Zanibbi, R. (2024) Beneath the [MASK]: An Analysis of Structural Tokens in ColBERT. ECIR 2024.
Shah, A.K., and Zanibbi, R. (2023) Line-of-sight with Graph Attention Parser (LGAP) for Math Formulas. ICDAR 2023.
Amador, B., Langsenkamp, M., Dey, A., Shah, A.K., and Zanibbi, R. (2023) Searching the ACL Anthology with Math Formulas and Text. SIGIR 2023 (demonstration paper).
Mansouri, B., Oard, D.W., and Zanibbi, R. (2022) Contextualized Formula Search Using Abstract Meaning Representation. CIKM 2022.
Mansouri, B., Novotny, V., Agarwal, A., Oard, D.W., and Zanibbi, R. (2022) Third CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). CLEF 2022 Working Notes.
Mansouri, B., Novotny, V., Agarwal, A., Oard, D.W., and Zanibbi, R. (2022) Third CLEF Lab on Answer Retrieval for Questions on Math. To appear in: Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Thirteenth International Conference of the CLEF Association (CLEF 2022), LNCS volume 13390.
Langsenkamp, M., Mansouri, B., and Zanibbi, R. (2022) Expanding Spatial Regions and Incorporating IDF for PHOC-Based Math Formula Retrieval at ARQMath-3. CLEF 2022 Working Notes.
Mansouri, B., Oard, D.W., and Zanibbi, R. (2022) DPRL Systems in the CLEF 2022 ARQMath Lab: Introducing MathAMR for Math-Aware Search. CLEF 2022 Working Notes.
Mansouri,B., and Agarwal, A., and Oard, D.W., and Zanibbi, R. (2022) Advancing Math-Aware Search: The ARQMath-3 Lab at CLEF 2022. ECIR 2022 Working Notes, pp. 408-415.
Dey, A., and Zanibbi, R. (2021) ScanSSD-XYc: Faster Detection for Math Formulas. GREC 2021.
Mansouri, B., Zanibbi, R., and Oard, D.W. (2021) Learning to Rank for Mathematical Formula Retrieval. SIGIR 2021.
Diaz, Y., Nishizawa, G., Mansouri, B., Davila, K. and Zanibbi, R. (2021) The MathDeck Formula Editor: Interactive Formula Entry Combining LaTeX, Structure Editing, and Search. Demonstration paper, CHI 2021.
A.K. Shah, A. Dey, and R. Zanibbi (2021). A Math Formula Extraction and Evaluation Framework for PDF Documents ICDAR 2021.
Mansouri, B., Oard, D.W., and Zanibbi, R. (2021) Advancing Math-Aware Search: The ARQMath-2 Lab at CLEF 2021. ECIR 2021.
Mansouri, B., Zanibbi, R., Oard, D.W., and Agarwal, A. (2021) Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version). CLEF (Working Notes) 2021: 1-24.
Mansouri, B., Zanibbi, R., Oard, D.W., and Agarwal, A. (2021) Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math. CLEF 2021: 215-238 (LNCS version -- please note that working notes version above contains additions)
Avenoso, R., Mansouri, B., and Zanibbi, R. (2021) XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion. CLEF (Working Notes) 2021: 25-35.
Mansouri, B., and Oard, D.W. and Zanibbi, R. (2021) DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval. CLEF (Working Notes) 2021: 47-62
Zhong, W., Zhang, X., Xin, J., Zanibbi, R., and Lin, J. (2021) Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens. CLEF (Working Notes) 2021: 133-156
Mansouri, B., Oard, D.W., and Zanibbi, R. (2020) DPRL Systems in the CLEF 2020 ARQMath Lab. CLEF 2020 Working Notes.
Zanibbi, R., Oard, D.W., Agarwal, A., and Mansouri, B. (2020) Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math. CLEF 2020 Working Notes.
Mahdavi, M., Sun, L., and Zanibbi, R. (2020) Visual Parsing with Query-Driven Global Graph Attention (QD-GGA): Preliminary Results for Handwritten Math Formula Recognition. Proc. CVPR Workshop on Text and Documents in the Deep Learning Era.
Zhong, W., Rohatgi, S., Wu, J., Giles, C.L., and Zanibbi, R. (2020) Accelerating Substructure Similarity Search for Formula Retrieval. Proc. European Conference on Information Retrieval.
Nishizawa, G., Liu, J., Diaz, Y., Dmello, A., Zhong, W. and Zanibbi, R. (2020) MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup. Proc. European Conference on Information Retrieval.
Mansouri, B., Agarwal, A., Oard, D., and Zanibbi, R. (2020) Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020. Proc. European Conference on Information Retrieval.
Mansouri, B., Rohtagi, S., Oard, D., Wu, J., Giles, C.L., and Zanibbi, R. (2019) Tangent-CFT: An Embedding model for Mathematical Formulas. Proc. International Conference on the Theory of Information Retrieval (ICTIR). Santa Clara, California, USA.
Mahdavi, M., Condon, M., Davila, K., and Zanibbi, R. (2019) LPGA: Line-of-Sight Parsing with Graph-Based Attention for Math Formula Recognition Proc. Int'l Conf. Document Analysis and Recognition, Sydney, Australia.
M. Mahdavi, R. Zanibbi, H. Mouchere, and Utpal Garain (2019). ICDAR 2019 CROHME + TFD: Competition on Recognition of Handwritten Mathematical Expressions and Typeset Formula Detection. Proc. International Conference on Document Analysis and Recognition, Sydney, Australia.
Mahdavi, M. and Zanibbi, R. (2019) Tree-Based Structure Recognition Evaluation for Math Expressions: Techniques and Case Study. IAPR Graphics Recognition Workshop (GREC, held at ICDAR 2019), Sydney, Australia. (abstract, 2pp.)
Choi, K.-Y., Couasnon, B., Ricquebourg, Y., and Zanibbi, R. (2019) CNN-Based Accidental Detection in Dense Printed Piano Scores. Proc. Int'l Conf. Document Analysis and Recognition, Sydney, Australia.
Mansouri, B., Oard, D., and Zanibbi, R. (2019) Characterizing Searches for Mathematical Concepts. Proc. ACM Joint Conference on Digital Libraries (JCDL), Urbana-Champaign, Illinois. (Nominated for a Best Paper Award, invited for Journal Submission)
Zhong, W., and Zanibbi, R. (2019) Structural Similarity Search for Formulas using Leaf-Root Paths in Operator Subtrees. Proc. European Conference on Information Retrieval (ECIR), Cologne, Germany. (Best Applications Paper Award)
Davila, K., and Zanibbi, R., (2019) Tangent-V: Math Formula Image Search Using Line-of-Sight Graphs, Proc. European Conference on Information Retrieval (ECIR), Cologne, Germany.
Choi, K.-Y., Couasnon, B., Ricquebourg, Y., and Zanibbi, R. (2018) Music symbol detection with Faster R-CNN using synthetic annotations. Proc. Int'l Work. Reading Music Systems, pp. 9-10, Paris, France. (abstract)
Davila, K. and Zanibbi, R. (2018) Visual Search Engine for Handwritten and Typeset Math in Lecture Videos and LaTeX Notes. Proc. Int'l Conf. Frontiers in Handwriting Recognition, Niagara Falls, NY (Best Paper Award).
Pacha, A., Choi, K-Y., Couasnon, B., Ricquebourg, Y., Zanibbi, R. and Eidenberger, H. (2018) Handwritten Music Object Detection: Open Issues and Baseline Results. Proc. IAPR W. on Document Analysis Systems (DAS), Vienna, Austria.
Choi, K.Y., Couasnon, B., Ricquebourg, Y. and Zanibbi, R. (2017) Bootstrapping Samples of Accidentals in Dense Piano Scores for CNN-Based Detection. Proc. IAPR Int'l. W. on Graphics Recognition (GREC), Kyoto, Japan (abstract, 2pp.)
Davila, K. and Zanibbi, R. (2017) Whiteboard Video Summarization via Spatio-Temporal Conflict Minimization. Proc. Int'l Conf. Document Analysis and Recognition (ICDAR), pp. 356-363, Kyoto, Japan.
Davila, K. and Zanibbi, R. (2017) Layout and Semantics: Combining Representations for Math Formula Search. Proc. ACM Special Interest Group on Information Retrieval (SIGIR), pp. 1165-1168, Tokyo, Japan.
L. Hu and R. Zanibbi. (2016) MST-Based Visual Parsing of Online Handwritten Mathematical Expressions. Proc. Int'l Conf. Frontiers in Handwriting Recognition, pp. 607-612, Shenzhen, China (Best Poster Award).
L. Hu and R. Zanibbi. (2016) Line-of-Sight Stroke Graphs and Parzen Shape Context Features for Handwritten Math Formula Representation and Symbol Segmentation. Proc. Int'l Conf. Frontiers in Handwriting Recognition, Shenzhen, China.
H Mouchere, C. Viard-Gaudin, R. Zanibbi and U. Garain. (2016) ICFHR 2016 CROHME: Competition on Recognition of Online Handwritten Mathematical Expressions.. Proc. Int'l Conf. Frontiers in Handwriting Recognition, Shenzhen, China.
R. Zanibbi, K. Davlia, A. Kane and F. Tompa (2016) Multi-Stage Math Formula Search: Using Appearance-Based Similarity Metrics at Scale. Proc. ACM Special Interest Group on Information Retrieval (SIGIR), pp. 145-154, Pisa, Italy.
S. Zhu and R. Zanibbi (2016). A Text Detection System for Natural Scenes with Convolutional Feature Learning and Cascaded Classification. Proc. Computer Vision and Pattern Recognition (CVPR), pp. 625-632, Las Vegas. Final version available from IEEE Xplore.
H. Chatbri, K. Davila, K. Kameyama and R. Zanibbi (2015) Shape matching using keypoints extracted from both the foreground and the background of binary images. Proc. Int'l Conf. Image Processing Theory, Tools and Applications, pp. 205-210, Orleans, France.
Stalnaker, D. and Zanibbi, R. (2015) Math expression retrieval using an inverted index over
symbol pairs. Proc. SPIE Document Recognition and Retrieval, Vol. 9402, pp. 07(1)-07(12), San Francisco.
Pattaniyil, N. and Zanibbi, R. (2014) Combining TF-IDF Text Retrieval with an Inverted Index over Symbol Pairs in Math Expressions: The Tangent Math Search Engine at NTCIR 2014. Proc. 11th NII Testbeds and Community for Information access Research (NTCIR), Tokyo, Japan (online, 8pp.).
Davila, K.M., Ludi, S. and Zanibbi, R. (2014) Using off-line features and synthetic data for on-line handwritten math symbol recognition. Proc. Int'l Conf. Frontiers in Handwriting Recognition, pp. 323-328, Crete, Greece.
Mouchere, H., Viard-Gaudin, C., Zanibbi, R. and Garain, U. (2014) ICFHR 2014 Competition on Recognition of On-line Handwritten Mathematical Expressions (CROHME 2014). Proc. Int'l Conf. Frontiers in Handwriting Recognition, pp. 791-796, Crete, Greece.
Reichenbach, M.S., Agarwal, A. and Zanibbi, R. (2014) Rendering expressions to improve accuracy of relevance assessment for math search. Proc. ACM SIGIR, Gold Coast, Australia, pp. 851-854.
Del Valle Wangari, K., Zanibbi, R. and Agarwal, A. (2014) Discovering real-world use cases for a multimodal math search interface. Proc. ACM SIGIR, Gold Coast, Australia, pp. 947-950.
Davila, K.M., Agarwal, A., Gaborski, R., Zanibbi, R., and Ludi, S. (2013) AccessMath: Indexing and retrieving video segments containing math expressions based on visual similarity. Proc. IEEE Western New York Image Processing Conference, Rochester, NY (online, 4pp.)
F. Alvaro and R. Zanibbi (2013) A Shape-Based Layout Descriptor for Classifying Spatial Relationships in Handwritten Math. ACM Symp. Document Engineering, pp. 123-126, Florence, Italy.
H. Mouchere, C. Viard-Gaudin, R. Zanibbi, U. Garain, D.H. Kim and J.H. Kim (2013) ICDAR 2013 CROHME: Third International Competition on Recognition of Online Handwritten Mathematical Expressions. Proc. Int'l Conf. Document Analysis and Recognition, pp.1428-1432, Washington, DC.
S. Zhu and R. Zanibbi (2013) Label Detection and Recognition for USPTO Images using Convolutional K-means Feature Quantization and AdaBoost. Proc. Int'l Conf. Document Analysis and Recognition, pp. 633-637, Washington, DC.
L. Hu and R. Zanibbi (2013) Segmenting Handwritten Math Symbols Using AdaBoost and Multi-Scale Shape Context Features. Proc. Int'l Conf. Document Analysis and Recognition, pp. 1180-1184, Washington, DC.
R. Zanibbi, H. Mouchere, and C. Viard-Gaudin (2013) Evaluating Structural Pattern Recognition for Handwritten Math via Primitive Label Graphs Proc. Document Recognition and Retrieval, Proc. SPIE vol. 8658, pp. 17-1 - 17-11, San Francisco, CA.
S. Zhu, L. Hu and R. Zanibbi (2013) Rotation-Robust Math Symbol Recognition and Retrieval Using Outer Contours and Image Subsampling Proc. Document Recognition and Retrieval, Proc. SPIE vol. 8658, pp. 05-1 - 05-12, San Francisco, CA.
C. Sasarak, K. Hart, R. Pospesel, D. Stalnaker, L. Hu, R. LiVolsi, S. Zhu, and R. Zanibbi. (2012) min: A Multimodal Web Interface for Math Search. Symp. Human-Computer Interaction and Information Retrieval, Cambridge, MA (online, 4pp).
L. Hu, K. Hart, R. Pospesel, and R. Zanibbi. (2012) Baseline extraction-driven parsing of handwritten mathematical expressions Proc. Int'l Conf. Pattern Recognition, Tsukuba Science City, Japan.
R. LiVolsi, R. Zanibbi, and C. Bigelow. (2012) Collecting historical font metrics from Google Books. Proc. Int'l Conf. Pattern Recognition, Tsukuba Science City, Japan.
T. Schellenberg, B. Yuan, and R. Zanibbi. (2012). Layout-based substitution tree indexing and retrieval for mathematical expressions, Proc. Document Recognition and Retrieval XIX, pp. OI1-OI8, San Francisco.
L. Hu and R. Zanibbi. (2011) HMM-Based Recognition of Online Handwritten Mathematical Symbols Using Segmental K-means Initialization and a Modified Pen-up/down Feature. Proc. Int'l. Conf. Document Analysis and Recognition, pp. 457-462, Beijing.
R. Zanibbi and L. Yu. (2011) Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images. Proc. Int'l Conf. Document Analysis and Recognition, pp. 446-451, Beijing.
R. Zanibbi, A. Pillay, H. Mouchere, C. Viard-Gaudin, and D. Blostein. (2011) Stroke-Based Performance Metrics for Handwritten Mathematical Expressions. Proc. Int'l Conf. Document Analysis and Recognition, pp. 334-338, Beijing.
R. Zanibbi and B. Yuan. (2011) Keyword and image-based retrieval for mathematical expressions. Proc. Document Recognition and Retrieval XVIII, vol. 7874 of Proc. SPIE, pp. OI1-OI9, San Francisco, CA.
R. Zanibbi, D. Blostein, and J.R. Cordy. (2009) White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making, Proc. Int'l. Conf. Computer Vision Systems, Lecture Notes in Computer Science, Vol. 5815, pp. 295-304.
K.A. Kluever and R. Zanibbi (2009). Balancing Usability and Security in a Video CAPTCHA, in Proc. Symposium on Usable Privacy and Security (archived online in the ACM International Conference Proceeding Series).
R. Zanibbi>, D. Blostein, and J.R. Cordy. (2005) Recognition Tasks are Imitation Games, in Pattern Recognition and Data Mining, Eds. S. Singh et al., Lecture Notes in Computer Science, Vol. 3686, pp. 209-218.
R. Zanibbi, D. Blostein, and J.R. Cordy. (2005) Historical Recall and Precision: Summarizing Generated Hypotheses, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 202-206, Seoul, Korea.
R. Zanibbi, D. Blostein, and J.R. Cordy. (2005) The Recognition Strategy Language, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 565-569, Seoul, Korea.
J.C. Handley, A.M. Namboodiri, and R. Zanibbi. (2005) Document Understanding System Using Stochastic Context-Free Grammars, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 511-515, Seoul, Korea.
L. Zhang, D. Blostein, and R. Zanibbi. (2005) Using Fuzzy Logic to Analyze Superscript and Subscript Relations in Handwritten Mathematical Expressions, in Proc. Int'l Conf. Document Analysis and Recognition, pp. 972-976, Seoul, Korea.
D. Blostein, J.R. Cordy and R. Zanibbi. (2002) Applying Compiler Techniques to Diagram Recognition, in Proc. Sixteenth Int'l Conference on Pattern Recognition, Vol. 3, pp. 123-126, Quebec City, Canada.
D. Blostein, E. Lank, A. Rose, and R. Zanibbi. (2002) User Interfaces for On-Line Diagram Recognition, in Graphics Recognition: Algorithms and Applications, Lecture Notes in Computer Science, Vol. 2390, pp. 92-103.
R. Zanibbi, D. Blostein and J.R. Cordy. (2001) Baseline Structure Analysis of Handwritten Mathematics Notation, In Proc. Sixth Int'l Conference on Document Analysis and Recognition, Seattle, Washington, pp. 768-773.
R. Zanibbi, K. Novins, J. Arvo and K. Zanibbi. (2001) Aiding Manipulation of Handwritten Mathematical Expressions through Style-Preserving Morphs, In Proc. Graphics Interface 2001, Ottawa, Canada, pp. 127-134.
D. Blostein, E. Lank, and R. Zanibbi. (2000) Treatment of Diagrams in Document Image Analysis, in Theory and Application of Diagrams, Lecture Notes in Computer Science, Vol. 1889, Springer-Verlag, pp. 330-344.
Shah, A.K., Amador, B., Dey, A., Creekmore, M., Ocampo, B., Denmark, and Zanibbi, R. (2024) ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing. ICDAR (Journal Track).
Truong, T.-N., Nguyen, C.T., Zanibbi, R., Mouchère, H., and Nakagawa, M. (2024) A survey on handwritten mathematical expression recognition: The rise of encoder-decoder and GNN models. Pattern Recognition. (preprint version).
M. Kanadje, Z. Miller, A. Agarwal, R. Gaborski, R. Zanibbi and S. Ludi. (2016) Assisted keyword indexing for lecture videos using unsupervised keyword spotting. Pattern Recognition Letters, 71(1):8--15. (Online demonstration). Final version available online from Elsevier.
C. Riedl, R. Zanibbi, M.A. Hearst, S. Zhu, M. Menietti, J. Crusan, I. Metelsky, K.R. Lakhani (2016) Detecting figures and part labels in patents: competition-based development of graphics recognition algorithms. Int'l J. Document Analysis and Recognition, 19(2): 155-172. (original publication available from www.springerlink.com).
H. Mouchere, R. Zanibbi, U. Garain and C. Viard-Gaudin. (2016) Advancing the State-of-the-Art for Handwritten Math Recognition: The CROHME Competitions, 2011-2014. Int'l Journal on Document Analysis and Recognition, 19(2): 173-189. (original publication available from www.springerlink.com).
R. Zanibbi and D. Blostein (2012) Recognition and Retrieval of Mathematical Expressions, Int'l. Journal on Document Analysis and Recognition 15(4): 331-357. (original publication available from www.springerlink.com).
J. Heliotis and R. Zanibbi (2011) Moving Away from Programming and Towards Computer Science in the CS First Year, Journal of Computing Sciences in Colleges, 26(3): 115-125.
R. Zanibbi, D. Blostein, and J.R. Cordy. (2004) A Survey of Table Recognition: Models, Observations, Transformations, and Inferences, Int'l Journal of Document Analysis and Recognition, Vol. 7, No. 1, pp. 1-16. (The original publication is available at www.springerlink.com)
R. Zanibbi, D. Blostein, and J.R. Cordy. (2002) Recognizing Mathematical Expressions Using Tree Transformation, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 24, No. 11, pp. 1455-1467. (The original publication is available at ieeexplore.ieee.org)
Zanibbi, R. and Orakwue, A. (2015) Math Search for the Masses: Multimodal Search Interfaces and Appearance-Based Retrieval. Proc. Conference on Intelligent Computer Mathematics (CICM), LNAI 9150, Springer, pp. 18-36, Washington, DC.
Mouchère, H., Viard-Gaudin, C., Zanibbi, R. and Garain, U. (2017) Systems for the Analysis of Handwritten Mathematical Expressions, in Document Analysis and Text Recognition: Benchmarking State-of-the-Art Systems, Series in Machine Perception and Artificial Intelligence (SMPAI), Vol. 82, Eds. V. Märgner, U. Pal and A. Antonacopoulos, World Scientific Publishing Co.
D. Blostein and R. Zanibbi. (2014) Processing Mathematical Notation, in Handbook of Document Image Processing and Recognition, pp. 679-702, Springer-Verlag.
R. Zanibbi, D. Blostein, and J.R. Cordy. (2008) Decision-Based Specification and Comparison of Table Recognition Algorithms, in Machine Learning in Document Analysis and Recognition, Springer Studies in Computational Intelligence, Vol. 90, pp. 71-103 (original version is available from www.springerlink.com).
Fink, G., Jain, R., Kise, K., and Zanibbi, R. (2023) Proceedings of the International Conference on Document Analysis and Recognition 2023. Springer, LNCS (multiple volumes). Proceedings freely available for one year after the conference.
Fink, G., Jain, R., Kise, K., and Zanibbi, R. (2023). Special Issue: Advanced Topics in Document Analysis and Recognition. International Journal on Document Analysis and Recognition. International Journal on Document Analysis and Recognition, Vol 6, No. 3 (ICDAR Journal Track Papers)
R. Zanibbi and B. Coüasnon (Editors). (2013) Proceedings of Document Recognition and Retrieval XX, Vol. 8658 of Proceedings of the SPIE.
C. Viard-Gaudin and R. Zanibbi (Editors). (2012) Proceedings of Document Recognition and Retrieval XIX, Vol. 8297 of Proceedings of the SPIE.
J. Handley, A. Rahgozar, D. Venable, P. Spiteri,
A. Namboodiri, and Zanibbi, R. (2011).
System and Method for Identifying and Labeling Fields
of Text Associated with Scanned Business Documents.
(Xerox Corporation) U.S. Patent No. 7,965,891.
J. Handley, A. Rahgozar, D. Venable, P. Spiteri, A. Namboodiri, and Zanibbi, R. (2010). System and Method for Identifying and Labeling Fields of Text Associated with Scanned Business Documents. (Xerox Corporation) U.S. Patent No. 7,860,312.
J. Handley, A. Rahgozar, D. Venable, P. Spiteri, A. Namboodiri, and Zanibbi, R. (2010). System and Method for Identifying and Labeling Fields of Text Associated with Scanned Business Documents. (Xerox Corporation) U.S. Patent No. 7,689,037.
B. Mansouri, D.W. Oard, A. Agarwal, R. Zanibbi (2021): Effects of context, complexity, and clustering on evaluation for math formula retrieval. CoRR abs/2111.10504 (arXiv link)
R. Zanibbi, K. Davila, A. Kane, F. Tompa. (July 2015) The Tangent Search Engine: Improved Similarity Metrics and Scalability for Math Formula Search. (arXiv preprint)
C. Riedel, R. Zanibbi, M.A. Hearst, S. Zhu, M. Menietti, J. Crusan, I. Metelsky, and K.R. Lakhani. (Oct. 2014) Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms. Harvard-NASA Tournament Lab Technical Report 01 (Harvard University, Cambridge, MA).
R. Zanibbi. (Mar. 2011) Programmer's Guide to the Recognition Strategy Language (Version 2.0). Technical Report, Department of Computer Science, Rochester Institute of Technology (Rochester, NY).
R. Zanibbi. (Dec. 2004) A Language for Specifying and Comparing Table
Recognition Strategies. Ph.D. Dissertation, School of Computing, Queen's University,
Canada. (Co-supervisors:
D. Blostein and J.R. Cordy).
R. Zanibbi. (Jan. 2000) Recognition of Mathematics Notation via Computer Using Baseline Structure, Queen's University School of Computing Technical Report ISSN-0836-0227-2000-439, 2000, 87 pages (M.Sc. Thesis. Supervisor: D. Blostein).