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J. Shane Culpepper
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- affiliation: RMIT University, Melbourne, VIC, Australia
- affiliation: University of Melbourne, VIC, Australia
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2020 – today
- 2024
- [j31]Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei:
Optimizing Data Acquisition to Enhance Machine Learning Performance. Proc. VLDB Endow. 17(6): 1310-1323 (2024) - [j30]Daomin Ji, Hui Luo, Zhifeng Bao, J. Shane Culpepper:
Navigating Data Repositories: Utilizing Line Charts to Discover Relevant Datasets. Proc. VLDB Endow. 17(12): 4289-4292 (2024) - [c95]Oleg Zendel
, J. Shane Culpepper
Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing. CHIIR 2024: 340-345 - [c94]Hai Lan, Zhifeng Bao, J. Shane Culpepper
A Fully On-Disk Updatable Learned Index. ICDE 2024: 4856-4869 - [i19]Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei, Volkan Dedeoglu:
Advanced Dataset Discovery: When Multi-Query-Dataset Cardinality Estimation Matters. CoRR abs/2401.00659 (2024) - [i18]Daomin Ji, Hui Luo, Zhifeng Bao, J. Shane Culpepper:
The Story Behind the Lines: Line Charts as a Gateway to Dataset Discovery. CoRR abs/2408.09506 (2024) - 2023
- [j29]Hai Lan
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. Proc. ACM Manag. Data 1(2): 139:1-139:22 (2023) - [c93]Oleg Zendel, Binsheng Liu, J. Shane Culpepper, Falk Scholer:
Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems. QPP++@ECIR 2023: 37-44 - [c92]Hui Luo
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. WWW 2023: 3937-3947 - [i17]Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. CoRR abs/2305.01237 (2023) - [i16]Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong:
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too? CoRR abs/2306.02604 (2023) - 2022
- [j28]Sheng Wang
A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. 54(2): 39:1-39:36 (2022) - [j27]Guglielmo Faggioli
sMARE: a new paradigm to evaluate and understand query performance prediction methods. Inf. Retr. J. 25(2): 94-122 (2022) - [j26]Hui Luo
Let Trajectories Speak Out the Traffic Bottlenecks. ACM Trans. Intell. Syst. Technol. 13(1): 8:1-8:21 (2022) - [j25]J. Shane Culpepper
Topic Difficulty: Collection and Query Formulation Effects. ACM Trans. Inf. Syst. 40(1): 19:1-19:36 (2022) - [c91]Tingting Wang
Representative Routes Discovery from Massive Trajectories. KDD 2022: 4059-4069 - [c90]Oleg Zendel
Can Users Predict Relative Query Effectiveness? SIGIR 2022: 2545-2549 - [e7]Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai:
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. ACM 2022, ISBN 978-1-4503-8732-3 [contents] - 2021
- [j24]Binsheng Liu, Xiaolu Lu, J. Shane Culpepper
Strong natural language query generation. Inf. Retr. J. 24(4-5): 322-346 (2021) - [j23]Hui Luo
Dynamic Ridesharing in Peak Travel Periods. IEEE Trans. Knowl. Data Eng. 33(7): 2888-2902 (2021) - [c89]Rodger Benham, Joel Mackenzie, J. Shane Culpepper
Different Keystrokes for Different Folks: Visualizing Crowdworker Querying Behavior. CHIIR 2021: 331-335 - [c88]Guglielmo Faggioli
An Enhanced Evaluation Framework for Query Performance Prediction. ECIR (1) 2021: 115-129 - [c87]Rodger Benham
Bayesian System Inference on Shallow Pools. ECIR (2) 2021: 209-215 - [c86]J. Shane Culpepper, Guglielmo Faggioli, Nicola Ferro, Oren Kurland:
Do Hard Topics Exist? A Statistical Analysis. IIR 2021 - [c85]Guglielmo Faggioli, Oleg Zendel, J. Shane Culpepper, Nicola Ferro, Falk Scholer:
sMARE: An Enhanced Query Performance Prediction Evaluation Approach (Discussion Paper). SEBD 2021: 235-242 - [c84]Oleg Zendel
Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction? SIGIR 2021: 1713-1717 - [c83]Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper
Generalizing Discriminative Retrieval Models using Generative Tasks. WWW 2021: 3745-3756 - [e6]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i15]Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong:
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. CoRR abs/2101.02969 (2021) - [i14]Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa:
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR abs/2107.12948 (2021) - 2020
- [j22]Kevin Roitero
Fewer topics? A million topics? Both?! On topics subsets in test collections. Inf. Retr. J. 23(1): 49-85 (2020) - [c82]Luke Gallagher, Antonio Mallia, J. Shane Culpepper
Feature Extraction for Large-Scale Text Collections. CIKM 2020: 3015-3022 - [c81]Joel M. Mackenzie, Rodger Benham, Matthias Petri, Johanne R. Trippas
CC-News-En: A Large English News Corpus. CIKM 2020: 3077-3084 - [c80]Shixun Huang
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. ICDE 2020: 1117-1128 - [c79]Kfir Bernstein, Fiana Raiber, Oren Kurland, J. Shane Culpepper
Cluster-Based Document Retrieval with Multiple Queries. ICTIR 2020: 33-40 - [c78]Rodger Benham, Ben Carterette, J. Shane Culpepper
Bayesian Inferential Risk Evaluation On Multiple IR Systems. SIGIR 2020: 339-348 - [c77]Hui Luo
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR 2020: 781-790 - [c76]J. Shane Culpepper, Binsheng Liu:
RMIT at TREC Deep Learning Track 2020. TREC 2020 - [i13]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong:
A Survey on Trajectory Data Management, Analytics, and Learning. CoRR abs/2003.11547 (2020) - [i12]Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. CoRR abs/2003.13212 (2020) - [i11]Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper:
Dynamic Ridesharing in Peak Travel Periods. CoRR abs/2004.02570 (2020) - [i10]Rodger Benham, Alistair Moffat, J. Shane Culpepper:
RMITB at TREC COVID 2020. CoRR abs/2011.04830 (2020)
2010 – 2019
- 2019
- [j21]Nafis Irtiza Tripto, Mahjabin Nahar, Mohammed Eunus Ali
Top-k trajectories with the best view. GeoInformatica 23(4): 621-661 (2019) - [j20]Sheng Wang, Zhifeng Bao
Fast Large-Scale Trajectory Clustering. Proc. VLDB Endow. 13(1): 29-42 (2019) - [j19]Rodger Benham
Boosting Search Performance Using Query Variations. ACM Trans. Inf. Syst. 37(4): 41:1-41:25 (2019) - [c75]Rodger Benham
Taking Risks with Confidence. ADCS 2019: 1:1-1:4 - [c74]Rodger Benham
On the Pluses and Minuses of Risk. AIRS 2019: 81-93 - [c73]Joel M. Mackenzie
Compressing Inverted Indexes with Recursive Graph Bisection: A Reproducibility Study. ECIR (1) 2019: 339-352 - [c72]Shixun Huang
Finding Temporal Influential Users Over Evolving Social Networks. ICDE 2019: 398-409 - [c71]Xiaolu Lu, Oren Kurland, J. Shane Culpepper
Relevance Modeling with Multiple Query Variations. ICTIR 2019: 27-34 - [c70]Binsheng Liu, Nick Craswell, Xiaolu Lu, Oren Kurland, J. Shane Culpepper
A Comparative Analysis of Human and Automatic Query Variants. ICTIR 2019: 47-50 - [c69]Oleg Zendel
Information Needs, Queries, and Query Performance Prediction. SIGIR 2019: 395-404 - [c68]Matthias Petri, Alistair Moffat, Joel M. Mackenzie
Accelerated Query Processing Via Similarity Score Prediction. SIGIR 2019: 485-494 - [c67]Fabio Zampieri, Kevin Roitero, J. Shane Culpepper
On Topic Difficulty in IR Evaluation: The Effect of Systems, Corpora, and System Components. SIGIR 2019: 909-912 - [c66]Luke Gallagher, Ruey-Cheng Chen, Roi Blanco, J. Shane Culpepper
Joint Optimization of Cascade Ranking Models. WSDM 2019: 15-23 - [e5]J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5 [contents] - 2018
- [j18]Mohammed Eunus Ali
The Maximum Trajectory Coverage Query in Spatial Databases. Proc. VLDB Endow. 12(3): 197-209 (2018) - [j17]J. Shane Culpepper, Fernando Diaz, Mark D. Smucker:
Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018). SIGIR Forum 52(1): 34-90 (2018) - [j16]Sheng Wang
Reverse k Nearest Neighbor Search over Trajectories. IEEE Trans. Knowl. Data Eng. 30(4): 757-771 (2018) - [j15]Farhana Murtaza Choudhury, J. Shane Culpepper, Zhifeng Bao
Batch Processing of Top-k Spatial-Textual Queries. ACM Trans. Spatial Algorithms Syst. 3(4): 13:1-13:40 (2018) - [j14]Farhana Murtaza Choudhury
Finding the optimal location and keywords in obstructed and unobstructed space. VLDB J. 27(4): 445-470 (2018) - [c65]Luke Gallagher, Joel M. Mackenzie
Revisiting Spam Filtering in Web Search. ADCS 2018: 5:1-5:4 - [c64]Harrie Oosterhuis, J. Shane Culpepper
The Potential of Learned Index Structures for Index Compression. ADCS 2018: 7:1-7:4 - [c63]Binsheng Liu, Xiaolu Lu, Oren Kurland, J. Shane Culpepper
Improving Search Effectiveness with Field-based Relevance Modeling. ADCS 2018: 11:1-11:4 - [c62]Tadele Tedla Damessie, J. Shane Culpepper
Presentation Ordering Effects On Assessor Agreement. CIKM 2018: 723-732 - [c61]Hui Luo
MaxBRkNN Queries for Streaming Geo-Data. DASFAA (1) 2018: 647-664 - [c60]J. Shane Culpepper:
Balancing Efficiency and Effectiveness Trade-offs in Large Scale Multi-Stage Search Engines. DESIRES 2018: 8 - [c59]Rodger Benham, J. Shane Culpepper, Luke Gallagher, Xiaolu Lu, Joel M. Mackenzie:
Towards Efficient and Effective Query Variant Generation. DESIRES 2018: 62-67 - [c58]J. Shane Culpepper:
Single Query Optimisation is the Root of All Evil. DESIRES 2018: 100 - [c57]Joel M. Mackenzie
On the Cost of Negation for Dynamic Pruning. ECIR 2018: 544-549 - [c56]Jianxin Li
Geo-Social Influence Spanning Maximization. ICDE 2018: 1775-1776 - [c55]Sheng Wang, Zhifeng Bao
Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract). ICDE 2018: 1785-1786 - [c54]Hafeezul Rahman Mohammad, Keyang Xu, Jamie Callan, J. Shane Culpepper
Dynamic Shard Cutoff Prediction for Selective Search. SIGIR 2018: 85-94 - [c53]Hamed Zamani, W. Bruce Croft, J. Shane Culpepper
Neural Query Performance Prediction using Weak Supervision from Multiple Signals. SIGIR 2018: 105-114 - [c52]Sheng Wang, Zhifeng Bao
Torch: A Search Engine for Trajectory Data. SIGIR 2018: 535-544 - [c51]Oren Kurland, J. Shane Culpepper
Fusion in Information Retrieval: SIGIR 2018 Half-Day Tutorial. SIGIR 2018: 1383-1386 - [c50]Rodger Benham, Luke Gallagher, Joel M. Mackenzie, Binsheng Liu, Xiaolu Lu, Falk Scholer, J. Shane Culpepper, Alistair Moffat:
RMIT at the 2018 TREC CORE Track. TREC 2018 - [c49]Shixun Huang
A Linear-Time Algorithm for Finding Induced Planar Subgraphs. SEA 2018: 23:1-23:15 - [c48]Joel M. Mackenzie
Query Driven Algorithm Selection in Early Stage Retrieval. WSDM 2018: 396-404 - [i9]Mohammed Eunus Ali, Kaysar Abdullah, Shadman Saqib Eusuf, Farhana Murtaza Choudhury, J. Shane Culpepper, Timos Sellis:
The Maximum Trajectory Coverage Query in Spatial Databases. CoRR abs/1804.00599 (2018) - [i8]Rodger Benham, Joel M. Mackenzie, Alistair Moffat, J. Shane Culpepper:
Boosting Search Performance Using Query Variations. CoRR abs/1811.06147 (2018) - [i7]Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke:
The Potential of Learned Index Structures for Index Compression. CoRR abs/1811.06678 (2018) - 2017
- [j13]Yubin Kim, Jamie Callan, J. Shane Culpepper
Efficient distributed selective search. Inf. Retr. J. 20(3): 221-252 (2017) - [j12]Jianxin Li
Geo-Social Influence Spanning Maximization. IEEE Trans. Knowl. Data Eng. 29(8): 1653-1666 (2017) - [c47]Rodger Benham
Risk-Reward Trade-offs in Rank Fusion. ADCS 2017: 1:1-1:8 - [c46]Joel M. Mackenzie
Early Termination Heuristics for Score-at-a-Time Index Traversal. ADCS 2017: 8:1-8:8 - [c45]Jianxin Li
Personalized Influential Topic Search via Social Network Summarization. ICDE 2017: 17-18 - [c44]Farhana Murtaza Choudhury
Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries. ICDE 2017: 585-596 - [c43]Sheng Wang, Zhifeng Bao
Answering Top-k Exemplar Trajectory Queries. ICDE 2017: 597-608 - [c42]Luke Gallagher, Joel Mackenzie, Rodger Benham, Ruey-Cheng Chen, Falk Scholer, J. Shane Culpepper:
RMIT at the NTCIR-13 We Want Web Task. NTCIR 2017 - [c41]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools? SIGIR 2017: 35-44 - [c40]Ruey-Cheng Chen, Luke Gallagher, Roi Blanco, J. Shane Culpepper
Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval. SIGIR 2017: 445-454 - [c39]Tadele Tedla Damessie, Thao P. Nghiem, Falk Scholer
Gauging the Quality of Relevance Assessments using Inter-Rater Agreement. SIGIR 2017: 1089-1092 - [c38]Rodger Benham, Luke Gallagher, Joel M. Mackenzie, Tadele Tedla Damessie, Ruey-Cheng Chen, Falk Scholer, Alistair Moffat, J. Shane Culpepper:
RMIT at the 2017 TREC CORE Track. TREC 2017 - [c37]Matt Crane
A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation. WSDM 2017: 201-210 - [e4]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - [i6]Joel M. Mackenzie, J. Shane Culpepper, Roi Blanco, Matt Crane
Efficient and Effective Tail Latency Minimization in Multi-Stage Retrieval Systems. CoRR abs/1704.03970 (2017) - [i5]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos K. Sellis
Reverse k Nearest Neighbor Search over Trajectories. CoRR abs/1704.03978 (2017) - 2016
- [j11]Charles L. A. Clarke, J. Shane Culpepper
Assessing efficiency-effectiveness tradeoffs in multi-stage retrieval systems without using relevance judgments. Inf. Retr. J. 19(4): 351-377 (2016) - [j10]Xiaolu Lu
The effect of pooling and evaluation depth on IR metrics. Inf. Retr. J. 19(4): 416-445 (2016) - [j9]Farhana Murtaza Choudhury
Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries. Proc. VLDB Endow. 9(6): 456-467 (2016) - [j8]Jianxin Li
Personalized Influential Topic Search via Social Network Summarization. IEEE Trans. Knowl. Data Eng. 28(7): 1820-1834 (2016) - [c36]Thao P. Nghiem, Cong Ma, J. Shane Culpepper
Spatial Textual Top-k Search in Mobile Peer-to-Peer Networks. ADC 2016: 69-81 - [c35]J. Shane Culpepper, Charles L. A. Clarke, Jimmy Lin:
Dynamic Cutoff Prediction in Multi-Stage Retrieval Systems. ADCS 2016: 17-24 - [c34]Tadele Tedla Damessie, Falk Scholer, J. Shane Culpepper:
The Influence of Topic Difficulty, Relevance Level, and Document Ordering on Relevance Judging. ADCS 2016: 41-48 - [c33]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Mark Sanderson, Munkh-Erdene Yadamjav:
Interactive Trip Planning Using Activity Trajectories. ADCS 2016: 77-80 - [c32]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
Modeling Relevance as a Function of Retrieval Rank. AIRS 2016: 3-15 - [c31]Yubin Kim, Jamie Callan, J. Shane Culpepper
Does Selective Search Benefit from WAND Optimization? ECIR 2016: 145-158 - [c30]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
Efficient and Effective Higher Order Proximity Modeling. ICTIR 2016: 21-30 - [c29]Tadele Tedla Damessie, Falk Scholer
The Effect of Document Order and Topic Difficulty on Assessor Agreement. ICTIR 2016: 73-76 - [c28]Yubin Kim, Jamie Callan, J. Shane Culpepper
Load-Balancing in Distributed Selective Search. SIGIR 2016: 905-908 - [c27]Joel M. Mackenzie, Ruey-Cheng Chen, J. Shane Culpepper:
RMIT at the TREC 2016 LiveQA Track. TREC 2016 - [i4]J. Shane Culpepper, Charles L. A. Clarke, Jimmy Lin:
Dynamic Trade-Off Prediction in Multi-Stage Retrieval Systems. CoRR abs/1610.02502 (2016) - [i3]Farhana Murtaza Choudhury, Zhifeng Bao, J. Shane Culpepper, Timos Sellis
Monitoring the Top-m Aggregation in a Sliding Window of Spatial Queries. CoRR abs/1610.03579 (2016) - 2015
- [j7]Gaya K. Jayasinghe, William Webber, Mark Sanderson
Statistical comparisons of non-deterministic IR systems using two dimensional variance. Inf. Process. Manag. 51(5): 677-694 (2015) - [c26]Joel M. Mackenzie
Efficient Location-Aware Web Search. ADCS 2015: 4:1-4:8 - [c25]Michiko Yasukawa, J. Shane Culpepper
Data Fusion for Japanese Term and Character N-gram Search. ADCS 2015: 10:1-10:4 - [c24]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
On the Cost of Extracting Proximity Features for Term-Dependency Models. CIKM 2015: 293-302 - [c23]Farhana Murtaza Choudhury
Batch processing of Top-k Spatial-textual Queries. GeoRich@SIGMOD 2015: 7-12 - [c22]Ruey-Cheng Chen, J. Shane Culpepper, Tadele Tedla Damessie, Timothy Jones, Ahmed Mourad, Kevin Ong, Falk Scholer, Evi Yulianti:
RMIT at the TREC 2015 LiveQA Track. TREC 2015 - [i2]Charles L. A. Clarke, J. Shane Culpepper, Alistair Moffat:
Assessing Efficiency-Effectiveness Tradeoffs in Multi-Stage Retrieval Systems Without Using Relevance Judgments. CoRR abs/1506.00717 (2015) - 2014
- [j6]Gaya K. Jayasinghe, J. Shane Culpepper
Efficient and effective realtime prediction of drive-by download attacks. J. Netw. Comput. Appl. 38: 135-149 (2014) - [j5]Simon Gog, Alistair Moffat, J. Shane Culpepper
Large-Scale Pattern Search Using Reduced-Space On-Disk Suffix Arrays. IEEE Trans. Knowl. Data Eng. 26(8): 1918-1931 (2014) - [j4]Samuel J. Huston, J. Shane Culpepper
Indexing Word Sequences for Ranked Retrieval. ACM Trans. Inf. Syst. 32(1): 3:1-3:26 (2014) - [c21]Gaya K. Jayasinghe, William Webber, Mark Sanderson
Improving test collection pools with machine learning. ADCS 2014: 2 - [c20]Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
How Effective are Proximity Scores in Term Dependency Models? ADCS 2014: 89 - [c19]Matthias Petri, Alistair Moffat, J. Shane Culpepper
Score-safe term-dependency processing with hybrid indexes. SIGIR 2014: 899-902 - [c18]Gaya K. Jayasinghe, William Webber, Mark Sanderson
Evaluating non-deterministic retrieval systems. SIGIR 2014: 911-914 - [c17]Gaya K. Jayasinghe, William Webber, Mark Sanderson
Extending test collection pools without manual runs. SIGIR 2014: 915-918 - [c16]J. Shane Culpepper
TREC: topic engineering exercise. SIGIR 2014: 1147-1150 - [e3]J. Shane Culpepper, Laurence Anthony F. Park, Guido Zuccon:
Proceedings of the 2014 Australasian Document Computing Symposium, ADCS 2014, Melbourne, VIC, Australia, November 27-28, 2014. ACM 2014, ISBN 978-1-4503-3000-8 [contents] - 2013
- [c15]Matthias Petri, J. Shane Culpepper
Exploring the magic of WAND. ADCS 2013: 58-65 - [e2]J. Shane Culpepper, Guido Zuccon, Laurianne Sitbon:
The Australasian Document Computing Symposium, ADCS '13, Brisbane, QLD, Australia, December 5-6, 2013. ACM 2013, ISBN 978-1-4503-2524-0 [contents] - [i1]Simon Gog, Alistair Moffat, J. Shane Culpepper, Andrew Turpin, Anthony Wirth:
Large-Scale Pattern Search Using Reduced-Space On-Disk Suffix Arrays. CoRR abs/1303.6481 (2013) - 2012
- [j3]Andrew Trotman
Open source information petrieval: a report on the SIGIR 2012 workshop. SIGIR Forum 46(2): 95-101 (2012) - [j2]J. Shane Culpepper
Revisiting bounded context block-sorting transformations. Softw. Pract. Exp. 42(8): 1037-1054 (2012) - [c14]Matthias Petri, J. Shane Culpepper
Efficient indexing algorithms for approximate pattern matching in text. ADCS 2012: 9-16 - [c13]Samuel J. Huston, J. Shane Culpepper
Sketch-based indexing of n-words. CIKM 2012: 1864-1868 - [c12]Michiko Yasukawa, J. Shane Culpepper, Falk Scholer:
Phonetic Matching in Japanese. OSIR@SIGIR 2012: 68-71 - [c11]J. Shane Culpepper
Efficient in-memory top-k document retrieval. SIGIR 2012: 225-234 - [e1]Andrew Trotman, Charles L. A. Clarke, Iadh Ounis, J. Shane Culpepper, Marc-Allen Cartright, Shlomo Geva:
Proceedings of the SIGIR 2012 Workshop on Open Source Information Retrieval, OSIR@SIGIR 2012, Portland, Oregon, USA, 16th August 2012. University of Otago, Dunedin, New Zealand 2012, ISBN 978-0-473-22025-9 [contents] - 2011
- [c10]Matthias Petri, Gonzalo Navarro, J. Shane Culpepper
Backwards Search in Context Bound Text Transformations. CCP 2011: 82-91 - [c9]Michiko Yasukawa, J. Shane Culpepper, Falk Scholer, Matthias Petri:
RMIT and Gunma University at NTCIR-9 GeoTime Task. NTCIR 2011 - [c8]Michiko Yasukawa, J. Shane Culpepper, Falk Scholer, Matthias Petri:
RMIT and Gunma University at NTCIR-9 Intent Task. NTCIR 2011 - [c7]Matthias Petri, J. Shane Culpepper, Falk Scholer:
RMIT at TREC 2011 Microblog Track. TREC 2011 - 2010
- [j1]J. Shane Culpepper
Efficient set intersection for inverted indexing. ACM Trans. Inf. Syst. 29(1): 1:1-1:25 (2010) - [c6]J. Shane Culpepper
Top-k Ranked Document Search in General Text Databases. ESA (2) 2010: 194-205
2000 – 2009
- 2009
- [c5]Arathi Arakala, J. Shane Culpepper
Entropy of the Retina Template. ICB 2009: 1250-1259 - [c4]Andrew Turpin, Falk Scholer
Including summaries in system evaluation. SIGIR 2009: 508-515 - 2007
- [c3]J. Shane Culpepper
Compact Set Representation for Information Retrieval. SPIRE 2007: 137-148 - 2006
- [c2]J. Shane Culpepper
Phrase-Based Pattern Matching in Compressed Text. SPIRE 2006: 337-345 - 2005
- [c1]J. Shane Culpepper
Enhanced Byte Codes with Restricted Prefix Properties. SPIRE 2005: 1-12
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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