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ORCIDAllan Hanbury
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- affiliation: TU Wien, Vienna, Austria
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2020 – today
- 2023
[j37]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)- [j36]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) - [c183]Filip Darmanovic, Allan Hanbury, Markus Zlabinger:
SCI-3000: A Dataset for Figure, Table and Caption Extraction from Scientific PDFs. ICDAR (1) 2023: 234-251 - [c182]Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury:
Outcome-based Evaluation of Systematic Review Automation. ICTIR 2023: 125-133 - [c181]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 - [c180]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 - [c179]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 - [i39]Tobias Fink, Gábor Recski, Wojciech Kusa, Allan Hanbury:
Statute-enhanced lexical retrieval of court cases for COLIEE 2022. CoRR abs/2304.08188 (2023) - [i38]Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury:
Outcome-based Evaluation of Systematic Review Automation. CoRR abs/2306.17614 (2023) - [i37]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) - [i36]Wojciech Kusa, Petr Knoth, Allan Hanbury:
CRUISE-Screening: Living Literature Reviews Toolbox. CoRR abs/2309.01684 (2023) - [i35]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) - 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) - [c178]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 - [c177]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 - [c176]Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CIKM 2022: 3801-3805 - [c175]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 - [c174]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 - [c173]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 - [c172]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines For TripClick Health Retrieval. ECIR (2) 2022: 144-152 - [c171]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 - [c170]Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
A Time-Optimized Content Creation Workflow for Remote Teaching. SIGCSE (1) 2022: 731-737 - [c169]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 - [e12]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] - [e11]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) - [c168]Johannes Bogensperger, Sven Schlarb, Allan Hanbury, Gábor Recski:
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets. W-NUT 2021: 137-157 - [c167]Yasin Ghafourian, Petr Knoth, Allan Hanbury:
Information Retrieval Evaluation in Knowledge Acquisition Tasks. BIRDS+WEPIR@CHIIR 2021: 88-95 - [c166]Sophia Althammer, Sebastian Hofstätter, Allan Hanbury:
Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. ECIR (2) 2021: 3-17 - [c165]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 - [c164]Annisa Maulida Ningtyas, Allan Hanbury, Florina Piroi, Linda Andersson:
Data Augmentation for Layperson's Medical Entity Linking Task. FIRE 2021: 99-106 - [c163]Gábor Recski, Björn Lellmann, Ádám Kovács, Allan Hanbury:
Explainable Rule Extraction via Semantic Graphs. ASAIL/LegalAIIA@ICAIL 2021: 24-35 - [c162]Navid Rekabsaz, Robert West, James Henderson, Allan Hanbury:
Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. ICWSM 2021: 549-560 - [c161]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 - [c160]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 - [c159]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 - [c158]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) - [c157]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 - [c156]Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury:
Learning to Re-Rank with Contextualized Stopwords. CIKM 2020: 2057-2060 - [c155]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 - [c154]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI 2020: 513-520 - [c153]Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury:
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) 2020: 433-440 - [c152]Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury:
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) 2020: 459-464 - [c151]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 - [c150]Tobias Fink, Gábor Recski, Allan Hanbury:
FIRE2020 AILA Track: Legal domain search with minimal domain knowledge. FIRE (Working Notes) 2020: 76-81 - [c149]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024 - [c148]Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR 2020: 2109-2112 - [c147]Sebastian Hofstätter, Allan Hanbury:
Evaluating Transformer-Kernel Models at TREC Deep Learning 2020. TREC 2020 - [c146]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) - [c145]Georg Heiler, Allan Hanbury:
Comparing Implementation Variants Of Distributed Spatial Join on Spark. IEEE BigData 2019: 6071-6073 - [c144]Markus Zlabinger, Navid Rekabsaz, Stefan Zlabinger, Allan Hanbury:
Efficient Answer-Annotation for Frequent Questions. CLEF 2019: 126-137 - [c143]Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury:
Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) 2019: 810-818 - [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 - [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]Markus Zlabinger, Linda Andersson, Allan Hanbury, Michael Andersson, Vanessa Quasnik, Jon Brassey:
Medical Entity Corpus with PICO elements and Sentiment Analysis. LREC 2018 - [c136]Markus Zlabinger, Linda Andersson, Jon Brassey, Allan Hanbury:
Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. MIE 2018: 146-150 - [e10]Gabriella Pasi, Benjamin Piwowarski, Leif Azzopardi, Allan Hanbury:
Advances in Information Retrieval - 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings. Lecture Notes in Computer Science 10772, Springer 2018, ISBN 978-3-319-76940-0 [contents] - [i7]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i6]Navid Rekabsaz, Allan Hanbury:
An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations. CoRR abs/1812.10424 (2018) - 2017
- [j27]Navid Rekabsaz, Ralf Bierig, Mihai Lupu, Allan Hanbury:
Toward Optimized Multimodal Concept Indexing. Trans. Comput. Collect. Intell. 26: 144-161 (2017) - [c135]Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson, Allan Hanbury:
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. ACL (1) 2017: 1712-1721 - [c134]João R. M. Palotti, Guido Zuccon, Jimmy, Pavel Pecina, Mihai Lupu, Lorraine Goeuriot, Liadh Kelly, Allan Hanbury:
CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search. CLEF (Working Notes) 2017 - [c133]Aldo Lipani, João R. M. Palotti, Mihai Lupu, Florina Piroi, Guido Zuccon, Allan Hanbury:
Fixed-Cost Pooling Strategies Based on IR Evaluation Measures. ECIR 2017: 357-368 - [c132]Navid Rekabsaz, Mihai Lupu, Allan Hanbury:
Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding. ECIR 2017: 396-409 - [c131]Alexandros Bampoulidis, João R. M. Palotti, Mihai Lupu, Jon Brassey, Allan Hanbury:
Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion? ECIR 2017: 713-719 - [c130]Abdel Aziz Taha, Florina Piroi, Allan Hanbury, Thomas Troppe, Thomas Mutzl, Haroun Shehata:
Message ranking in a factory setting using context and user preference. ETFA 2017: 1-4 - [c129]Célia Boyer, Arnaud Gaudinat, Allan Hanbury, Ron D. Appel, Marion J. Ball, Michel Carpentier, Jan H. van Bemmel, Jean-Paul Bergmans, Denis F. Hochstrasser, Donald Lindberg, Randolph A. Miller, Jean-Claude Peterschmitt, Charles Safran, Michèle Thonnet, Antoine Geissbühler:
Accessing Reliable Health Information on the Web: A Review of the HON Approach. MedInfo 2017: 1004-1008 - [c128]Aldo Lipani, Mihai Lupu, João R. M. Palotti, Guido Zuccon, Allan Hanbury:
Fixed budget pooling strategies based on fusion methods. SAC 2017: 919-924 - [c127]Markus Zlabinger, Allan Hanbury:
Finding duplicate images in biology papers. SAC 2017: 957-959 - [c126]Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Hamed Zamani:
Word Embedding Causes Topic Shifting; Exploit Global Context! SIGIR 2017: 1105-1108 - [c125]Aldo Lipani, Mihai Lupu, Allan Hanbury:
Visual Pool: A Tool to Visualize and Interact with the Pooling Method. SIGIR 2017: 1321-1324 - [p7]Allan Hanbury, Henning Müller:
VISCERAL: Evaluation-as-a-Service for Medical Imaging. Cloud-Based Benchmarking of Medical Image Analysis 2017: 3-13 - [p6]Abdel Aziz Taha, Allan Hanbury:
Evaluation Metrics for Medical Organ Segmentation and Lesion Detection. Cloud-Based Benchmarking of Medical Image Analysis 2017: 87-105 - [p5]Oscar Alfonso Jiménez del Toro, Henning Müller, Antonio Foncubierta-Rodríguez, Georg Langs, Allan Hanbury:
Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis 2017: 127-141 - [e9]Allan Hanbury, Henning Müller, Georg Langs:
Cloud-Based Benchmarking of Medical Image Analysis. Springer 2017, ISBN 978-3-319-49642-9 [contents] - [i5]Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Allan Hanbury, Alexander Dür, Linda Andersson:
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. CoRR abs/1702.01978 (2017) - [i4]Navid Rekabsaz, Bhaskar Mitra, Mihai Lupu, Allan Hanbury:
Toward Incorporation of Relevant Documents in word2vec. CoRR abs/1707.06598 (2017) - [i3]Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Andrés Duque:
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian. CoRR abs/1711.06196 (2017) - 2016
- [j26]João R. M. Palotti, Allan Hanbury, Henning Müller, Charles E. Kahn Jr.:
How users search and what they search for in the medical domain - Understanding laypeople and experts through query logs. Inf. Retr. J. 19(1-2): 189-224 (2016) - [j25]Henning Müller, Jayashree Kalpathy-Cramer, Allan Hanbury, Keyvan Farahani, Rinat Sergeev, Jin H. Paik, Arno Klein, Antonio Criminisi, Andrew D. Trister, Thea Norman, David N. Kennedy, Ganapati Srinivasa, Artem Mamonov, Nina Preuss:
Report on the Cloud-Based Evaluation Approaches Workshop 2015. SIGIR Forum 50(1): 38-41 (2016) - [j24]