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Allan Hanbury

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MM: A new Framework for Multidimensional Evaluation of Search Engines.(2018)
J. Palotti, G. Zuccon, and A. Hanbury. ACM
Medical Entity Corpus with PICO elements and Sentiment Analysis.(2018)
M. Zlabinger, L. Andersson, A. Hanbury, M. Andersson, V. Quasnik, and J. Brassey. European Language Resources Association (ELRA)
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions.(2018)
L. Maier-Hein, M. Eisenmann, A. Reinke, S. Onogur, M. Stankovic, P. Scholz, T. Arbel, H. Bogunovic, A. Bradley, A. Carass, C. Feldmann, A. Frangi, P. Full, B. van Ginneken, A. Hanbury, K. Honauer, M. Kozubek, B. Landman, K. März, O. Maier, K. Maier-Hein, B. Menze, H. Müller, P. Neher, W. Niessen, N. Rajpoot, G. Sharp, K. Sirinukunwattana, S. Speidel, C. Stock, D. Stoyanov, A. Taha, F. van der Sommen, C. Wang, M. Weber, G. Zheng, P. Jannin, and A. Kopp-Schneider.
Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook.(2018)
F. Hopfgartner, A. Hanbury, H. Müller, I. Eggel, K. Balog, T. Brodt, G. Cormack, J. Lin, J. Kalpathy-Cramer, N. Kando, M. Kato, A. Krithara, T. Gollub, M. Potthast, E. Viegas, and S. Mercer.
Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials.(2018)
M. Zlabinger, L. Andersson, J. Brassey, and A. Hanbury. IOS Press
Replicating an Experiment in Cross-lingual Information Retrieval with Explicit Semantic Analysis.(2018)
M. Jungwirth, and A. Hanbury. CEUR-WS.org
A systematic approach to normalization in probabilistic models.(2018)
A. Lipani, T. Roelleke, M. Lupu, and A. Hanbury.
Contextual local primitives for binary patent image retrieval.(2018)
N. Bhatti, A. Hanbury, and J. Stöttinger.
Fixed budget pooling strategies based on fusion methods.(2017)
A. Lipani, M. Lupu, J. Palotti, G. Zuccon, and A. Hanbury. ACM
Word Embedding Causes Topic Shifting; Exploit Global Context!(2017)
N. Rekabsaz, M. Lupu, A. Hanbury, and H. Zamani. ACM
Message ranking in a factory setting using context and user preference.(2017)
A. Taha, F. Piroi, A. Hanbury, T. Troppe, T. Mutzl, and H. Shehata. IEEE
Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding.(2017)
N. Rekabsaz, M. Lupu, and A. Hanbury.
Toward Incorporation of Relevant Documents in word2vec.(2017)
N. Rekabsaz, B. Mitra, M. Lupu, and A. Hanbury.
Finding duplicate images in biology papers.(2017)
M. Zlabinger, and A. Hanbury. ACM
Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion?(2017)
A. Bampoulidis, J. Palotti, M. Lupu, J. Brassey, and A. Hanbury.
Accessing Reliable Health Information on the Web: A Review of the HON Approach.(2017)
C. Boyer, A. Gaudinat, A. Hanbury, R. Appel, M. Ball, M. Carpentier, J. van Bemmel, J. Bergmans, D. Hochstrasser, D. Lindberg, R. Miller, J. Peterschmitt, C. Safran, M. Thonnet, and A. Geissbühler. IOS Press
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models.(2017)
N. Rekabsaz, M. Lupu, A. Baklanov, A. Hanbury, A. Dür, and L. Andersson.
VISCERAL: Evaluation-as-a-Service for Medical Imaging.(2017)
A. Hanbury, and H. Müller. Springer
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian.(2017)
N. Rekabsaz, M. Lupu, A. Hanbury, and A. Duque.
Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark.(2017)
O. del Toro, H. Müller, A. Foncubierta-Rodríguez, G. Langs, and A. Hanbury. Springer
Evaluation Metrics for Medical Organ Segmentation and Lesion Detection.(2017)
A. Taha, and A. Hanbury. Springer
CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search.(2017)
J. Palotti, G. Zuccon, Jimmy, P. Pecina, M. Lupu, L. Goeuriot, L. Kelly, and A. Hanbury. CEUR-WS.org
Fixed-Cost Pooling Strategies Based on IR Evaluation Measures.(2017)
A. Lipani, J. Palotti, M. Lupu, F. Piroi, G. Zuccon, and A. Hanbury.
Visual Pool: A Tool to Visualize and Interact with the Pooling Method.(2017)
A. Lipani, M. Lupu, and A. Hanbury. ACM
The Solitude of Relevant Documents in the Pool.(2016)
A. Lipani, M. Lupu, E. Kanoulas, and A. Hanbury. ACM
Generalizing Translation Models in the Probabilistic Relevance Framework.(2016)
N. Rekabsaz, M. Lupu, A. Hanbury, and G. Zuccon. ACM
Query Variations and their Effect on Comparing Information Retrieval Systems.(2016)
G. Zuccon, J. Palotti, and A. Hanbury. ACM
Ranking Health Web Pages with Relevance and Understandability.(2016)
J. Palotti, L. Goeuriot, G. Zuccon, and A. Hanbury. ACM
How users search and what they search for in the medical domain - Understanding laypeople and experts through query logs.(2016)
J. Palotti, A. Hanbury, H. Müller, and C. Jr..
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.(2016)
O. del Toro, H. Müller, M. Krenn, K. Gruenberg, A. Taha, M. Winterstein, I. Eggel, A. Foncubierta-Rodríguez, O. Goksel, A. Jakab, G. Kontokotsios, G. Langs, B. Menze, T. Fernandez, R. Schaer, A. Walleyo, M. Weber, Y. Cid, T. Gass, M. Heinrich, F. Jia, F. Kahl, R. Kéchichian, D. Mai, A. Spanier, G. Vincent, C. Wang, D. Wyeth, and A. Hanbury.
The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias.(2016)
A. Lipani, G. Zuccon, M. Lupu, B. Koopman, and A. Hanbury. ACM
Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions.(2016)
J. Palotti, G. Zuccon, J. Bernhardt-Melischnig, A. Hanbury, and L. Goeuriot. Springer
Machine learning framework incorporating expert knowledge in tissue image annotation.(2016)
F. Kromp, I. Ambros, T. Weiss, D. Bogen, H. Dodig, M. Berneder, T. Gerber, S. Taschner-Mandl, P. Ambros, and A. Hanbury. IEEE
Interactive exploration of healthcare queries.(2016)
A. Bampoulidis, M. Lupu, J. Palotti, S. Metallidis, J. Brassey, and A. Hanbury. IEEE
The Curious Incidence of Bias Corrections in the Pool.(2016)
A. Lipani, M. Lupu, and A. Hanbury. Springer
Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation.(2016)
N. Rekabsaz, S. Sabetghadam, M. Lupu, L. Andersson, and A. Hanbury. European Language Resources Association (ELRA)
Uncertainty in Neural Network Word Embedding: Exploration of Threshold for Similarity.(2016)
N. Rekabsaz, M. Lupu, and A. Hanbury.
Report on the Cloud-Based Evaluation Approaches Workshop 2015.(2016)
H. Müller, J. Kalpathy-Cramer, A. Hanbury, K. Farahani, R. Sergeev, J. Paik, A. Klein, A. Criminisi, A. Trister, T. Norman, D. Kennedy, G. Srinivasa, A. Mamonov, and N. Preuss.
When is the time ripe for natural language processing for patent passage retrieval?(2016)
L. Andersson, M. Lupu, J. Palotti, A. Hanbury, and A. Rauber. ACM
Using Health Statistics to Improve Medical and Health Search.(2015)
T. Sierek, and A. Hanbury. Springer
TUW @ MediaEval 2015 Retrieving Diverse Social Images Task.(2015)
S. Sabetghadam, J. Palotti, N. Rekabsaz, M. Lupu, and A. Hanbury. CEUR-WS.org
TUW @ TREC Clinical Decision Support Track 2015.(2015)
J. Palotti, and A. Hanbury. National Institute of Standards and Technology (NIST)
Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015.(2015)
H. Müller, O. del Toro, A. Hanbury, G. Langs, and A. Foncubierta-Rodríguez.
Overview of the VISCERAL Challenge at ISBI 2015.(2015)
O. Goksel, A. Foncubierta-Rodríguez, O. del Toro, H. Müller, G. Langs, M. Weber, B. Menze, I. Eggel, K. Gruenberg, M. Winterstein, M. Holzer, M. Krenn, G. Kontokotsios, S. Metallidis, R. Schaer, A. Taha, A. Jakab, T. Fernandez, and A. Hanbury. CEUR-WS.org
Report on the Evaluation-as-a-Service (EaaS) Expert Workshop.(2015)
F. Hopfgartner, A. Hanbury, H. Müller, N. Kando, S. Mercer, J. Kalpathy-Cramer, M. Potthast, T. Gollub, A. Krithara, J. Lin, K. Balog, and I. Eggel.
Overview of the VISCERAL Retrieval Benchmark 2015(2015)
O. Jiménez-del Toro, A. Foncubierta-Rodríguez, H. Müller, G. Langs, and A. Hanbury. Springer
ECIR 2015: 37th European Conference on Information Retrieval.(2015)
A. Hanbury, G. Kazai, A. Rauber, and N. Fuhr.
An Initial Analytical Exploration of Retrievability.(2015)
A. Lipani, M. Lupu, A. Aizawa, and A. Hanbury. ACM
Toward Optimized Multimodal Concept Indexing.(2015)
N. Rekabsaz, R. Bierig, M. Lupu, and A. Hanbury. Springer
The Influence of Pre-processing on the Estimation of Readability of Web Documents.(2015)
J. Palotti, G. Zuccon, and A. Hanbury. ACM
On the use of statistical semantics for metadata-based social image retrieval.(2015)
N. Rekabsaz, R. Bierig, B. Ionescu, A. Hanbury, and M. Lupu. IEEE
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations.(2015)
M. Krenn, M. Dorfer, O. del Toro, H. Müller, B. Menze, M. Weber, A. Hanbury, and G. Langs. Springer
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool(2015)
A. Taha, and A. Hanbury.
DASyR(IR) - document analysis system for systematic reviews (in Information Retrieval).(2015)
F. Piroi, A. Lipani, M. Lupu, and A. Hanbury. IEEE Computer Society
Verboseness Fission for BM25 Document Length Normalization.(2015)
A. Lipani, M. Lupu, A. Hanbury, and A. Aizawa. ACM
Detecting Risks in the Banking System by Sentiment Analysis.(2015)
C. Nopp, and A. Hanbury. The Association for Computational Linguistics
CLEF eHealth Evaluation Lab 2015, Task 2: Retrieving Information About Medical Symptoms.(2015)
J. Palotti, G. Zuccon, L. Goeuriot, L. Kelly, A. Hanbury, G. Jones, M. Lupu, and P. Pecina. CEUR-WS.org
Overview of the First Workshop of Muldimodal Retrieval in the Medical Domain (MRMD 2015).(2015)
H. Müller, O. del Toro, A. Hanbury, G. Langs, and A. Foncubierta-Rodríguez. Springer
An Efficient Algorithm for Calculating the Exact Hausdorff Distance(2015)
A. Taha, and A. Hanbury.
Evaluation-as-a-Service: Overview and Outlook.(2015)
A. Hanbury, H. Müller, K. Balog, T. Brodt, G. Cormack, I. Eggel, T. Gollub, F. Hopfgartner, J. Kalpathy-Cramer, N. Kando, A. Krithara, J. Lin, S. Mercer, and M. Potthast.
A Glimpse into the State and Future of (Big) Data Analytics in Austria - Results from an Online Survey.(2014)
R. Bierig, A. Hanbury, M. Haas, F. Piroi, H. Berger, M. Lupu, and M. Dittenbach. SciTePress
TUW @ Retrieving Diverse Social Images Task 2014.(2014)
J. Palotti, N. Rekabsaz, M. Lupu, and A. Hanbury. CEUR-WS.org
An Information Retrieval Ontology for Information Retrieval Nanopublications.(2014)
A. Lipani, F. Piroi, L. Andersson, and A. Hanbury. Springer
An open-source, mobile-friendly search engine for public medical knowledge(2014)
M. Samwald, and A. Hanbury.
Multiple color space channel fusion for skin detection.(2014)
R. Khan, A. Hanbury, J. Stöttinger, F. Khan, A. Khattak, and A. Ali.
TUW @ TREC Clinical Decision Support Track.(2014)
J. Palotti, N. Rekabsaz, L. Andersson, and A. Hanbury. National Institute of Standards and Technology (NIST)
TUW-IMP at the NTCIR-11 Math-2.(2014)
A. Lipani, L. Andersson, F. Piroi, M. Lupu, and A. Hanbury. National Institute of Informatics (NII)
A System Framework for Concept- and Credibility-Based Multimedia Retrieval.(2014)
R. Bierig, C. Serban, A. Siriteanu, M. Lupu, and A. Hanbury. ACM
Domain Specific Search(2014)
M. Lupu, M. Salampasis, and A. Hanbury. Springer
Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres.(2014)
L. Andersson, M. Lupu, J. Palotti, F. Piroi, A. Hanbury, and A. Rauber. CEUR-WS.org
Visual Methods for Analyzing Probabilistic Classification Data.(2014)
B. Alsallakh, A. Hanbury, H. Hauser, S. Miksch, and A. Rauber.
ShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred health information retrieval(2014)
L. Goeuriot, L. Kelly, W. Li, J. Palotti, P. Pecina, G. Zuccon, A. Hanbury, G. Jones, and H. Müller.
Guest editorial: Special issue on information retrieval in the intellectual property domain.(2014)
A. Hanbury, M. Lupu, N. Kando, B. Diallo, and S. Adams.
User intent behind medical queries: An evaluation of entity mapping approaches with Metamap and Freebase(2014)
J. Palotti, V. Stefanov, and A. Hanbury.
Extracting Nanopublications from IR Papers.(2014)
A. Lipani, F. Piroi, L. Andersson, and A. Hanbury. Springer
A Formal Method For Selecting Evaluation Metrics for Image Segmentation(2014)
A. Taha, A. Hanbury, and O. Jiménez del Toro.
A Researcher's View on (Big) Data Analytics in Austria Results from an Online Survey.(2014)
R. Bierig, A. Hanbury, F. Piroi, M. Haas, H. Berger, M. Lupu, and M. Dittenbach. Springer
Khresmoi Professional: Multilingual, Multimodal Professional Medical Search(2014)
L. Kelly, S. Dungs, S. Kriewel, A. Hanbury, L. Goeuriot, G. Jones, G. Langs, and H. Müller.
CLEF 2014: Information Access Evaluation meets Multilinguality, Multimodality, and Interaction.(2014)
L. Cappellato, P. Clough, N. Ferro, M. Hall, M. Halvey, A. Hanbury, E. Kanoulas, W. Kraaij, M. Lupu, M. Sanderson, E. Toms, and R. Villa.
An Evaluation of an Interactive Federated Patent Search System.(2014)
M. Salampasis, A. Giachanou, and A. Hanbury. Springer
A Formative Evaluation of a Comprehensive Search System for Medical Professionals(2013)
V. Stefanov, A. Sachs, M. Kritz, M. Samwald, M. Gschwandtner, and A. Hanbury.
Cloud-based Evaluation Framework for Big Data(2013)
A. Hanbury, H. Müller, G. Langs, and B. Menze.
Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System.(2013)
L. Andersson, M. Lupu, and A. Hanbury. Springer
A Generalized framework for Integrated Professional Search Systems(2013)
M. Salampasis, and A. Hanbury. Spinger LNCS
Exploring Patent Passage Retrieval Using Nouns Phrases.(2013)
L. Andersson, P. Mahdabi, A. Hanbury, and A. Rauber. Springer
ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports(2013)
L. Goeuriot, G. Jones, L. Kelly, J. Leveling, A. Hanbury, H. Müller, S. Salanterä, H. Suominen, and G. Zuccon.
Khresmoi - Multilingual Semantic Search of Medical Text and Images.(2013)
N. Aswani, T. Beckers, E. Birngruber, C. Boyer, A. Burner, J. Bystron, K. Choukri, S. Cruchet, H. Cunningham, J. Dedek, L. Dolamic, R. Donner, S. Dungs, I. Eggel, A. Foncubierta-Rodríguez, N. Fuhr, A. Funk, A. de Herrera, A. Gaudinat, G. Georgiev, J. Gobeill, L. Goeuriot, P. Gomez, R. Greenwood, M. Gschwandtner, A. Hanbury, J. Hajic, J. Hlavácová, M. Holzer, G. Jones, B. Jordan, M. Jordan, K. Kaderk, F. Kainberger, L. Kelly, S. Kriewel, M. Kritz, G. Langs, N. Lawson, D. Markonis, I. Martínez, V. Momtchev, A. Masselot, H. Mazo, H. Müller, J. Palotti, P. Pecina, K. Pentchev, D. Peychev, N. Pletneva, D. Pottecher, A. Roberts, P. Ruch, A. Sachs, M. Samwald, P. Schneller, V. Stefanov, M. Tinte, Z. Uresová, A. Vargas, and D. Vishnyakova. IOS Press
PROMISE technology transfer day: spreading the word on information access evaluation at an industrial event.(2013)
P. Forner, L. Bentivogli, M. Braschler, K. Choukri, N. Ferro, A. Hanbury, J. Karlgren, and H. Müller.
Patent Retrieval.(2013)
M. Lupu, and A. Hanbury.
Integrating IR Technologies for Professional Search - (Full-Day Workshop).(2013)
M. Salampasis, N. Fuhr, A. Hanbury, M. Lupu, B. Larsen, and H. Strindberg. Springer
Creation of a New Evaluation Benchmark for Information Retrieval Targeting Patient Information Needs(2013)
L. Goeuriot, L. Kelly, G. Jones, G. Zuccon, H. Suominen, A. Hanbury, H. Müller, and J. Leveling. National Institute of Informatics/Kijima Printing
Image search in patents: a review.(2013)
N. Bhatti, and A. Hanbury.
Overview of CLEF-IP 2013 Lab - Information Retrieval in the Patent Domain(2013)
F. Piroi, M. Lupu, and A. Hanbury. Springer
Passage Retrieval Starting from Patent Claims A Clef-Ip 2013 Task Overview.(2013)
F. Piroi, M. Lupu, and A. Hanbury. CEUR-WS.org
Toward a Model of Domain-Specific Search(2013)
A. Hanbury, and M. Lupu.
Evaluating Flowchart Recognition for Patent Retrieval.(2013)
M. Lupu, F. Piroi, and A. Hanbury. National Institute of Informatics (NII)
Physicians searching the web for medical question answering: A European survey and local user studies.(2013)
M. Samwald, M. Kritz, M. Gschwandtner, V. Stefanov, and A. Hanbury. IOS Press
Report on the CLEF-IP 2012 Experiments: Exploring Passage Retrieval with the PIPExtractor.(2012)
L. Andersson, P. Mahdabi, A. Hanbury, and A. Rauber.
Medical information retrieval: an instance of domain-specific search.(2012)
A. Hanbury. ACM
Robust Color Texture Features Under Varying Illumination Conditions.(2012)
U. Kandaswamy, D. Adjeroh, S. Schuckers, and A. Hanbury.
CLEF-IP 2012: Retrieval Experiments in the Intellectual Property Domain.(2012)
F. Piroi, M. Lupu, A. Hanbury, A. Sexton, W. Magdy, and I. Filippov.
Considering Subjects and Scenarios in Large-Scale User-Centered Evaluation of a Multilingual Multimodal Medical Search System.(2012)
L. Kelly, L. Goeuriot, G. Jones, and A. Hanbury.
Effects of Language and Topic Size in Patent IR: An Empirical Study.(2012)
F. Piroi, M. Lupu, and A. Hanbury. Springer
VISCERAL: Towards Large Data in Medical Imaging - Challenges and Directions(2012)
G. Langs, H. Müller, B. Menze, and A. Hanbury.
Sparse Color Interest Points for Image Retrieval and Object Categorization.(2012)
J. Stöttinger, A. Hanbury, N. Sebe, and T. Gevers.
Color based skin classification.(2012)
R. Khan, A. Hanbury, J. Stöttinger, and A. Bais.
Patent images - a glass-encased tool: opening the case.(2012)
M. Lupu, R. Schuster, R. Mörzinger, F. Piroi, T. Schleser, and A. Hanbury. ACM
PROMISE retreat report prospects and opportunities for information access evaluation.(2012)
M. Agosti, R. Berendsen, T. Bogers, M. Braschler, P. Buitelaar, K. Choukri, G. Nunzio, N. Ferro, P. Forner, A. Hanbury, K. Heppin, P. Hansen, A. Järvelin, B. Larsen, M. Lupu, I. Masiero, H. Müller, S. Peruzzo, V. Petras, F. Piroi, M. de Rijke, G. Santucci, G. Silvello, and E. Toms.
Robust camera self-calibration from monocular images of Manhattan worlds.(2012)
H. Wildenauer, and A. Hanbury. IEEE Computer Society
Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis.(2012)
A. Hanbury, H. Müller, G. Langs, M. Weber, B. Menze, and T. Fernandez. Springer
4th international workshop on patent information retrieval (PaIR'11).(2011)
M. Lupu, A. Hanbury, and A. Rauber. ACM
Harnessing the Scientific Data Produced by the Experimental Evaluation Search Engines and Information Access Systems.(2011)
N. Ferro, A. Hanbury, H. Müller, and G. Santucci. Elsevier
Classifying Patent Images.(2011)
R. Mörzinger, A. Horti, G. Thallinger, N. Bhatti, and A. Hanbury. CEUR-WS.org
Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarization(2011)
P. Mahdabi, L. Andersson, A. Hanbury, and F. Crestani.
CLEF-IP 2011: Retrieval in the Intellectual Property Domain(2011)
F. Piroi, M. Lupu, A. Hanbury, and V. Zenz.
Morphology Based Spatial Relationships between Local Primitives in Line Drawings.(2011)
N. Bhatti, and A. Hanbury. Springer
Object and Concept Recognition for Image Retrieval.(2010)
S. Nowak, A. Hanbury, and T. Deselaers. Springer
Scaling Up High-Value Retrieval to Medium-Volume Data.(2010)
H. Cunningham, A. Hanbury, and S. Rüger. Springer
Skin detection: A random forest approach.(2010)
R. Khan, A. Hanbury, and J. Stöttinger. IEEE
Automated Component-Level Evaluation: Present and Future.(2010)
A. Hanbury, and H. Müller. Springer
Augmentation of Skin Segmentation.(2010)
R. Khan, A. Hanbury, and J. Stöttinger. CSREA Press
A PROMISE for Experimental Evaluation.(2010)
M. Braschler, K. Choukri, N. Ferro, A. Hanbury, J. Karlgren, H. Müller, V. Petras, E. Pianta, M. de Rijke, and G. Santucci. Springer
1st international workshop on advances in patent information retrieval (AsPIRe'10).(2010)
A. Hanbury, V. Zenz, and H. Berger.
Affective image classification using features inspired by psychology and art theory.(2010)
J. Machajdik, and A. Hanbury. ACM
Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges.(2010)
J. Stöttinger, B. Goras, T. Pönitz, A. Hanbury, N. Sebe, and T. Gevers. Springer
Universal Seed Skin Segmentation.(2010)
R. Khan, A. Hanbury, and J. Stöttinger. Springer
Special issue on image and video retrieval evaluation.(2010)
A. Hanbury, H. Müller, and P. Clough.
Behavior and properties of spatio-temporal local features under visual transformations.(2010)
J. Stöttinger, B. Goras, N. Sebe, and A. Hanbury. ACM
FeEval A Dataset for Evaluation of Spatio-temporal Local Features.(2010)
J. Stöttinger, S. Zambanini, R. Khan, and A. Hanbury. IEEE Computer Society
Lonely but attractive: Sparse color salient points for object retrieval and categorization.(2009)
J. Stöttinger, A. Hanbury, T. Gevers, and N. Sebe. IEEE Computer Society
Skin Paths for Contextual Flagging Adult Videos.(2009)
J. Stöttinger, A. Hanbury, C. Liensberger, and R. Khan. Springer
Invariant Shape Matching for Detection of Semi-local Image Structures.(2009)
L. Szumilas, H. Wildenauer, and A. Hanbury. Springer
Morphological segmentation on learned boundaries.(2009)
A. Hanbury, and B. Marcotegui.
Improved Motion Segmentation Based on Shadow Detection.(2009)
M. Kampel, H. Wildenauer, P. Blauensteiner, and A. Hanbury. WorldScientific
Image Segmentation by Region Based and Watershed Algorithms.(2008)
A. Hanbury. John Wiley & Sons, Inc.
A survey of methods for image annotation.(2008)
A. Hanbury.
Constructing cylindrical coordinate colour spaces.(2008)
A. Hanbury.
Evaluation of Gradient Vector Flow for Interest Point Detection.(2008)
J. Stöttinger, R. Donner, L. Szumilas, and A. Hanbury. Springer
The Visual Concept Detection Task in ImageCLEF 2008.(2008)
T. Deselaers, and A. Hanbury. Springer
On segmentation evaluation metrics and region counts.(2008)
A. Hanbury, and J. Stöttinger. IEEE Computer Society
How Do Superpixels Affect Image Segmentation?.(2008)
A. Hanbury. Springer
Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task.(2007)
M. Grubinger, P. Clough, A. Hanbury, and H. Müller. Springer
Overview of the ImageCLEF 2007 Object Retrieval Task.(2007)
T. Deselaers, A. Hanbury, V. Viitaniemi, A. Benczúr, M. Brendel, B. Daróczy, H. Balderas, T. Gevers, C. Hernández-Gracidas, S. Hoi, J. Laaksonen, M. Li, H. Castro, H. Ney, X. Rui, N. Sebe, J. Stöttinger, and L. Wu. CEUR-WS.org
Morphological Distinguished Regions.(2007)
A. Hanbury. Springer
Do Colour Interest Points Improve Image Retrieval?(2007)
J. Stöttinger, A. Hanbury, N. Sebe, and T. Gevers. IEEE
Colour Adjacency Histograms for Image Matching.(2007)
A. Hanbury, and B. Marcotegui. Springer
Radial Edge Configuration for Semi-local Image Structure Description.(2007)
L. Szumilas, H. Wildenauer, A. Hanbury, and R. Donner. Springer
Local Structure Detection with Orientation-invariant Radial Configuration.(2007)
L. Szumilas, R. Donner, G. Langs, and A. Hanbury. IEEE Computer Society
Template Patch Driven Image Segmentation.(2006)
B. Micusík, and A. Hanbury. British Machine Vision Association
Color Pair Clustering for Texture Detection.(2006)
L. Szumilas, and A. Hanbury. Springer
Waterfall Segmentation of Complex Scenes.(2006)
A. Hanbury, and B. Marcotegui. Springer
Automatic Image Segmentation by Positioning a Seed.(2006)
B. Micusík, and A. Hanbury. Springer
Motion Detection Using an Improved Colour Model.(2006)
H. Wildenauer, P. Blauensteiner, A. Hanbury, and M. Kampel. Springer
Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks.(2006)
P. Clough, M. Grubinger, T. Deselaers, A. Hanbury, and H. Müller. Springer
Illumination-Invariant Morphological Texture Classification.(2005)
A. Hanbury, U. Kandaswamy, and D. Adjeroh. Springer
Steerable Semi-automatic Segmentation of Textured Images.(2005)
B. Micusík, and A. Hanbury. Springer
Supervised Texture Detection in Images.(2005)
B. Micusík, and A. Hanbury. Springer
Highlight Detection by 2D-Histogram Analysis.(2004)
A. Hanbury. IS&T - The Society for Imaging Science and Technology
The Redundancy Pyramid and Its Application to Segmentation on an Image Sequence.(2004)
J. Marchadier, W. Kropatsch, and A. Hanbury. Springer
The Morphological Top-Hat Operator Generalised to Multi-Channel Images.(2004)
A. Hanbury. IEEE Computer Society
The Isophotic Metric and Its Application to Feature Sensitive Morphology on Surfaces.(2004)
H. Pottmann, T. Steiner, M. Hofer, C. Haider, and A. Hanbury. Springer
Homotopic Transformations of Combinatorial Maps.(2003)
J. Marchadier, W. Kropatsch, and A. Hanbury. Springer
Colour Image Analysis in 3D-Polar Coordinates.(2003)
A. Hanbury, and J. Serra. Springer
A 3D-Polar Coordinate Colour Representation Well Adapted to Image Analysis.(2003)
A. Hanbury. Springer
Painting crack elimination using viscous morphological reconstruction.(2003)
A. Hanbury, P. Kammerer, and E. Zolda. IEEE Computer Society
Finding defects in texture using regularity and local orientation.(2002)
D. Chetverikov, and A. Hanbury.
Morphological operators on the unit circle.(2001)
A. Hanbury, and J. Serra.
Mathematical Morphology in the HLS Colour Space.(2001)
A. Hanbury, and J. Serra. British Machine Vision Association

Other Publications of same named Authors
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Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation(2021)
F. Kromp, L. Fischer, E. Bozsaky, I. Ambros, W. Dörr, K. Beiske, P. Ambros, A. Hanbury, and S. Taschner-Mandl.
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports.(2020)
M. Zlabinger, M. Sabou, S. Hofstätter, and A. Hanbury. Association for Computational Linguistics
BIAS: Transparent reporting of biomedical image analysis challenges.(2020)
L. Maier-Hein, A. Reinke, M. Kozubek, A. Martel, T. Arbel, M. Eisenmann, A. Hanbury, P. Jannin, H. Müller, S. Onogur, J. Saez-Rodriguez, B. van Ginneken, A. Kopp-Schneider, and B. Landman.
Learning to Re-Rank with Contextualized Stopwords.(2020)
S. Hofstätter, A. Lipani, M. Zlabinger, and A. Hanbury. ACM
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.(2020)
S. Hofstätter, M. Zlabinger, M. Sertkan, M. Schröder, and A. Hanbury. ACM
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.(2020)
S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, and A. Hanbury.
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking.(2020)
S. Hofstätter, M. Zlabinger, and A. Hanbury. IOS Press
Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic.(2020)
G. Heiler, T. Reisch, J. Hurt, M. Forghani, A. Omani, A. Hanbury, and F. Karimipour.
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.(2020)
S. Hofstätter, M. Zlabinger, M. Sertkan, M. Schröder, and A. Hanbury.
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts.(2020)
M. Zlabinger, M. Sabou, S. Hofstätter, M. Sertkan, and A. Hanbury. ACM
Local Self-Attention over Long Text for Efficient Document Retrieval.(2020)
S. Hofstätter, H. Zamani, B. Mitra, N. Craswell, and A. Hanbury. ACM
Morphologie Mathématique sur le Cercle Unité, avec applications aux teintes et aux textures orientées. (Mathematical morphology on the unit circle, with applications to hues and to oriented textures).(2002)
A. Hanbury.
Splitting Water: Precision and Anti-Precision to Reduce Pool Bias.(2015)
A. Lipani, M. Lupu, and A. Hanbury. ACM
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts.(2020)
M. Zlabinger, M. Sabou, S. Hofstätter, M. Sertkan, and A. Hanbury.
Local Self-Attention over Long Text for Efficient Document Retrieval.(2020)
S. Hofstätter, H. Zamani, B. Mitra, N. Craswell, and A. Hanbury.
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results.(2020)
S. Hofstätter, M. Zlabinger, and A. Hanbury. Springer
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.(2020)
M. Zlabinger, S. Hofstätter, N. Rekabsaz, and A. Hanbury. Springer
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking.(2019)
S. Hofstätter, M. Zlabinger, and A. Hanbury. National Institute of Standards and Technology (NIST)
Comparing Implementation Variants Of Distributed Spatial Join on Spark.(2019)
G. Heiler, and A. Hanbury. IEEE
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking.(2020)
S. Hofstätter, M. Zlabinger, and A. Hanbury.
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations.(2020)
M. Zlabinger, S. Hofstätter, N. Rekabsaz, and A. Hanbury.