default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAllan Hanbury
Person information
- affiliation: TU Wien, Vienna, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c198]Pia Pachinger, Janis Goldzycher, Anna Maria Planitzer, Wojciech Kusa, Allan Hanbury, Julia Neidhardt:
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection. ACL (Findings) 2024: 11990-12001- [c197]Annisa Maulida Ningtyas
, Alaa El-Ebshihy, Florina Piroi, Allan Hanbury:
Improving Laypeople Familiarity with Medical Terms by Informal Medical Entity Linking. CLEF (1) 2024: 113-126 - [c196]Patrick Styll, Leonardo Campillos Llanos, Wojciech Kusa, Allan Hanbury:
Cross-Linguistic Disease and Drug Detection in Cardiology Clinical Texts: Methods and Outcomes. CLEF (Working Notes) 2024: 223-244 - [c195]Luis Kolb, Allan Hanbury:
AuthEv-LKolb at CheckThat! 2024: A Two-Stage Approach To Evidence-Based Social Media Claim Verification. CLEF (Working Notes) 2024: 489-505 - [c194]Moritz Staudinger, Alaa El-Ebshihy, Annisa Maulida Ningtyas, Florina Piroi, Allan Hanbury:
AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? CLEF (Working Notes) 2024: 3300-3316 - [c193]Moritz Staudinger, Bettina M. J. Kern, Tomasz Miksa, Lukas Arnhold, Peter Knees, Andreas Rauber, Allan Hanbury:
Mission Reproducibility: An Investigation on Reproducibility Issues in Machine Learning and Information Retrieval Research. e-Science 2024: 1-9 - [c192]Wojciech Kusa, Georgios Peikos, Moritz Staudinger, Aldo Lipani, Allan Hanbury:
Normalised Precision at Fixed Recall for Evaluating TAR. ICTIR 2024: 43-49 - [c191]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2024). SIGIR 2024: 3021-3024 - [i41]Pia Pachinger, Janis Goldzycher, Anna Maria Planitzer, Wojciech Kusa, Allan Hanbury, Julia Neidhardt:
AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection. CoRR abs/2406.08080 (2024) - 2023
- [j38]Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury:
An analysis of work saved over sampling in the evaluation of automated citation screening in systematic literature reviews. Intell. Syst. Appl. 18: 200193 (2023) - [j37]Wojciech Kusa, Óscar E. Mendoza, Petr Knoth, Gabriella Pasi, Allan Hanbury:
Effective matching of patients to clinical trials using entity extraction and neural re-ranking. J. Biomed. Informatics 144: 104444 (2023) - [j36]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - [c190]Wojciech Kusa, Petr Knoth, Allan Hanbury:
CRUISE-Screening: Living Literature Reviews Toolbox. CIKM 2023: 5071-5075 - [c189]David Banyasz, Sebastian Hofstätter, Allan Hanbury:
Search in Archival Facsimile Documents for Digital History. e-Science 2023: 1-10 - [c188]Yasin Ghafourian, Allan Hanbury, Petr Knoth:
Readability Measures as Predictors of Understandability and Engagement in Searching to Learn. TPDL 2023: 173-181 - [c187]Yasin Ghafourian, Allan Hanbury, Petr Knoth:
Ranking for Learning: Studying Users' Perceptions of Relevance, Understandability, and Engagement. TPDL 2023: 284-291 - [c186]Filip Darmanovic, Allan Hanbury, Markus Zlabinger:
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs. ICDAR (1) 2023: 234-251 - [c185]Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury:
Outcome-based Evaluation of Systematic Review Automation. ICTIR 2023: 125-133 - [c184]Wojciech Kusa, Óscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury:
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews. NeurIPS 2023 - [c183]Anjani Dhrangadhariya, Wojciech Kusa, Henning Müller, Allan Hanbury:
HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction. SemEval@ACL 2023: 1776-1782 - [c182]Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury:
VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. SIGIR 2023: 3105-3109 - [c181]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023). SIGIR 2023: 3483-3486 - [c180]Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. SIGIR-AP 2023: 139-149 - [e14]Hidir Aras, Ralf Krestel, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
Proceedings of the 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech) 2023 co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipeh, Taiwan, July 27th, 2023. CEUR Workshop Proceedings 3604, CEUR-WS.org 2023 [contents] - [i40]Tobias Fink, Gábor Recski, Wojciech Kusa, Allan Hanbury:
Statute-enhanced lexical retrieval of court cases for COLIEE 2022. CoRR abs/2304.08188 (2023) - [i39]Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury:
Outcome-based Evaluation of Systematic Review Automation. CoRR abs/2306.17614 (2023) - [i38]Wojciech Kusa, Óscar E. Mendoza, Petr Knoth, Gabriella Pasi, Allan Hanbury:
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking. CoRR abs/2307.00381 (2023) - [i37]Wojciech Kusa, Petr Knoth, Allan Hanbury:
CRUISE-Screening: Living Literature Reviews Toolbox. CoRR abs/2309.01684 (2023) - [i36]Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. CoRR abs/2309.06131 (2023) - [i35]Wojciech Kusa, Óscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury:
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews. CoRR abs/2311.12474 (2023) - 2022
- [j35]Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Craig Macdonald, Gabriella Pasi, Martin Potthast, Fabrizio Sebastiani:
Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 56(2): 13:1-13:15 (2022) - [j34]Michail Salampasis, Florina Piroi, Allan Hanbury:
Report on the 1st Training School on Domain Specific Systems for Information Extraction and Retrieval (DoSSIER 2022). SIGIR Forum 56(2): 16:1-16:8 (2022) - [c179]Wojciech Kusa, Georgios Peikos, Oscar Espitia, Allan Hanbury, Gabriella Pasi:
DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem. BioNLP@ACL 2022: 432-440 - [c178]Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CIKM 2022: 737-747 - [c177]Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CIKM 2022: 3801-3805 - [c176]Annisa Maulida Ningtyas, Alaa El-Ebshihy, Guntur Budi Herwanto, Florina Piroi, Allan Hanbury:
Leveraging Wikipedia Knowledge for Distant Supervision in Medical Concept Normalization. CLEF 2022: 33-47 - [c175]Óscar E. Mendoza, Wojciech Kusa, Alaa El-Ebshihy, Ronin Wu, David Pride, Petr Knoth, Drahomira Herrmannova, Florina Piroi, Gabriella Pasi, Allan Hanbury:
Benchmark for Research Theme Classification of Scholarly Documents. SDP@COLING 2022: 253-262 - [c174]Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. ECIR (1) 2022: 19-34 - [c173]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines For TripClick Health Retrieval. ECIR (2) 2022: 144-152 - [c172]Wojciech Kusa, Allan Hanbury, Petr Knoth:
Automation of Citation Screening for Systematic Literature Reviews Using Neural Networks: A Replicability Study. ECIR (1) 2022: 584-598 - [c171]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
A Time-Optimized Content Creation Workflow for Remote Teaching. SIGCSE (1) 2022: 731-737 - [c170]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). SIGIR 2022: 3474-3477 - [e13]Guglielmo Faggioli, Nicola Ferro, Allan Hanbury, Martin Potthast:
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022. CEUR Workshop Proceedings 3180, CEUR-WS.org 2022 [contents] - [e12]Alberto Barrón-Cedeño, Giovanni Da San Martino, Mirko Degli Esposti, Fabrizio Sebastiani, Craig Macdonald, Gabriella Pasi, Allan Hanbury, Martin Potthast, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5-8, 2022, Proceedings. Lecture Notes in Computer Science 13390, Springer 2022, ISBN 978-3-031-13642-9 [contents] - [i34]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines for TripClick Health Retrieval. CoRR abs/2201.00365 (2022) - [i33]Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury:
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. CoRR abs/2201.01614 (2022) - [i32]Wojciech Kusa, Allan Hanbury, Petr Knoth:
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study. CoRR abs/2201.07534 (2022) - [i31]Georg Heiler, Thassilo Gadermaier, Thomas Haider, Allan Hanbury, Peter Filzmoser:
Identifying the root cause of cable network problems with machine learning. CoRR abs/2203.06989 (2022) - [i30]Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CoRR abs/2203.13088 (2022) - [i29]Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury:
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR abs/2206.12993 (2022) - [i28]Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CoRR abs/2208.06936 (2022) - 2021
- [j33]Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl:
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1934-1949 (2021) - [c169]Johannes Bogensperger, Sven Schlarb, Allan Hanbury, Gábor Recski:
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets. W-NUT 2021: 137-157 - [c168]Yasin Ghafourian, Petr Knoth, Allan Hanbury:
Information Retrieval Evaluation in Knowledge Acquisition Tasks. BIRDS+WEPIR@CHIIR 2021: 88-95 - [c167]Sophia Althammer, Sebastian Hofstätter, Allan Hanbury:
Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. ECIR (2) 2021: 3-17 - [c166]Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury:
Mitigating the Position Bias of Transformer Models in Passage Re-ranking. ECIR (1) 2021: 238-253 - [c165]Annisa Maulida Ningtyas, Allan Hanbury, Florina Piroi, Linda Andersson:
Data Augmentation for Layperson's Medical Entity Linking Task. FIRE 2021: 99-106 - [c164]Gábor Recski, Björn Lellmann, Ádám Kovács, Allan Hanbury:
Explainable Rule Extraction via Semantic Graphs. ASAIL/LegalAIIA@ICAIL 2021: 24-35 - [c163]Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury:
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. ICWSM 2021: 549-560 - [c162]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. SIGIR 2021: 113-122 - [c161]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR 2021: 1349-1358 - [c160]Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). SIGIR 2021: 2693-2696 - [c159]Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval. TREC 2021 - [i27]Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury:
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. CoRR abs/2101.06980 (2021) - [i26]Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury:
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. CoRR abs/2104.06967 (2021) - [i25]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR abs/2105.09816 (2021) - [i24]Sophia Althammer, Mark Buckley, Sebastian Hofstätter, Allan Hanbury:
Linguistically Informed Masking for Representation Learning in the Patent Domain. CoRR abs/2106.05768 (2021) - [i23]Sophia Althammer, Arian Askari, Suzan Verberne, Allan Hanbury:
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval. CoRR abs/2108.03937 (2021) - [i22]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
A Time-Optimized Content Creation Workflow for Remote Teaching. CoRR abs/2110.05601 (2021) - 2020
- [j32]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [c158]Georg Heiler, Tobias Reisch, Jan Hurt, Mohammad Forghani, Aida Omani, Allan Hanbury, Farid Karimipour:
Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic. IEEE BigData 2020: 3123-3132 - [c157]Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury:
Learning to Re-Rank with Contextualized Stopwords. CIKM 2020: 2057-2060 - [c156]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM 2020: 3031-3038 - [c155]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI 2020: 513-520 - [c154]Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) 2020: 433-440 - [c153]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) 2020: 459-464 - [c152]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Allan Hanbury:
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. EMNLP (Findings) 2020: 3064-3074 - [c151]Tobias Fink, Gábor Recski, Allan Hanbury:
FIRE2020 AILA Track: Legal domain search with minimal domain knowledge. FIRE (Working Notes) 2020: 76-81 - [c150]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024 - [c149]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR 2020: 2109-2112 - [c148]Sebastian Hofstätter, Allan Hanbury:
Evaluating Transformer-Kernel Models at TREC Deep Learning 2020. TREC 2020 - [c147]Annisa Maulida Ningtyas, Alaa El-Ebshihy, Florina Piroi, Allan Hanbury, Linda Andersson:
TUW-IFS at TREC NEWS 2020 : Wikification Task. TREC 2020 - [i21]Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR abs/2001.05357 (2020) - [i20]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. CoRR abs/2002.01854 (2020) - [i19]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR abs/2005.04908 (2020) - [i18]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR abs/2005.08367 (2020) - [i17]Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury:
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR abs/2008.05363 (2020) - [i16]Georg Heiler, Tobias Reisch, Jan Hurt, Mohammad Forghani, Aida Omani, Allan Hanbury, Farid Karimipour:
Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic. CoRR abs/2008.10064 (2020) - [i15]Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury:
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. CoRR abs/2010.02666 (2020) - [i14]Sophia Althammer, Sebastian Hofstätter, Allan Hanbury:
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study. CoRR abs/2012.11405 (2020)
2010 – 2019
- 2019
- [j31]Julian Stöttinger, Naeem Bhatti, Allan Hanbury:
An in-depth evaluation framework for spatio-temporal features. Multim. Tools Appl. 78(13): 17359-17390 (2019) - [c146]Georg Heiler, Allan Hanbury:
Comparing Implementation Variants Of Distributed Spatial Join on Spark. IEEE BigData 2019: 6071-6073 - [c145]Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury:
Efficient Answer-Annotation for Frequent Questions. CLEF 2019: 126-137 - [c144]Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury:
Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) 2019: 810-818 - [c143]Tobias Fink, Linda Andersson, Allan Hanbury:
Detecting Multi Word Terms in Patents the same way as Named Entities. PatentSemTech@SEMANTiCS 2019: 11-12 - [c142]Sebastian Hofstätter, Allan Hanbury:
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. OSIRRC@SIGIR 2019: 12-16 - [c141]Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR 2019: 1137-1140 - [c140]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. TREC 2019 - [p9]Henning Müller, Allan Hanbury:
EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project. Information Retrieval Evaluation in a Changing World 2019: 161-173 - [p8]Florina Piroi, Allan Hanbury:
Multilingual Patent Text Retrieval Evaluation: CLEF-IP. Information Retrieval Evaluation in a Changing World 2019: 365-387 - [e11]Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury:
Proceedings of the 1st Workshop on Patent Text Mining and Semantic Technologies, PatentSemTech@SEMANTiCS 2019, Karlsruhe, Germany, September 12, 2019. TU Wien 2019 [contents] - [i13]Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury:
On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR abs/1904.12683 (2019) - [i12]Sebastian Hofstätter, Allan Hanbury:
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. CoRR abs/1907.04614 (2019) - [i11]Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury:
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. CoRR abs/1907.12975 (2019) - [i10]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - [i9]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. CoRR abs/1912.01385 (2019) - [i8]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. CoRR abs/1912.04713 (2019) - 2018
- [j30]Aldo Lipani, Thomas Roelleke, Mihai Lupu, Allan Hanbury:
A systematic approach to normalization in probabilistic models. Inf. Retr. J. 21(6): 565-596 (2018) - [j29]Frank Hopfgartner, Allan Hanbury, Henning Müller, Ivan Eggel, Krisztian Balog, Torben Brodt, Gordon V. Cormack, Jimmy Lin, Jayashree Kalpathy-Cramer, Noriko Kando, Makoto P. Kato, Anastasia Krithara, Tim Gollub, Martin Potthast, Evelyne Viegas, Simon Mercer:
Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook. ACM J. Data Inf. Qual. 10(4): 15:1-15:32 (2018) - [j28]Naeem Bhatti, Allan Hanbury, Julian Stöttinger:
Contextual local primitives for binary patent image retrieval. Multim. Tools Appl. 77(7): 9111-9151 (2018) - [c139]João R. M. Palotti, Guido Zuccon, Allan Hanbury:
MM: A new Framework for Multidimensional Evaluation of Search Engines. CIKM 2018: 1699-1702 - [c138]Marco Jungwirth, Allan Hanbury:
Replicating an Experiment in Cross-lingual Information Retrieval with Explicit Semantic Analysis. CLEF (Working Notes) 2018 - [c137]