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2020 – today
- 2024
[j21]Chirath Hettiarachchi
, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki:
G2P2C - A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes. Biomed. Signal Process. Control. 90: 105839 (2024)- [c80]Sandaru Seneviratne, Hanna Suominen:
ANU at MLSP-2024: Prompt-based Lexical Simplification for English and Sinhala. BEA 2024: 599-604 - [c79]Michelle Adiwangsa, Penny Sweetser, Duncan Stevenson, Hanna Suominen, Mingze Xi:
Exploring Opportunities for Augmenting Homes to Support Exercising. CHI 2024: 311:1-311:14 - [i14]Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin:
Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CoRR abs/2404.09378 (2024) - [i13]Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin, Hanna Suominen, Fatemeh Hendijani Fard:
Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study. CoRR abs/2408.10529 (2024) - 2023
- [j20]Wenbo Ge, Christian Lück, Hanna Suominen, Deborah Apthorp:
Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease. Artif. Intell. Medicine 139: 102524 (2023) - [j19]Haotian Weng, Chirath Hettiarachchi, Christopher J. Nolan, Hanna Suominen, Artem Lenskiy:
Ensuring security of artificial pancreas device system using homomorphic encryption. Biomed. Signal Process. Control. 79(Part): 104044 (2023) - [j18]Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Artem Lenskiy, Hanna Suominen:
Neural Network-Based Financial Volatility Forecasting: A Systematic Review. ACM Comput. Surv. 55(2): 14:1-14:30 (2023) - [j17]Weitong Huang, Hanna Suominen, Tommy Liu, Gregory Rice, Carlos Salomon, Amanda S. Barnard:
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis. J. Biomed. Informatics 141: 104365 (2023) - [j16]Lanqin Yuan, Tianyu Wang, Gabriela Ferraro, Hanna Suominen, Marian-Andrei Rizoiu:
Transfer learning for hate speech detection in social media. J. Comput. Soc. Sci. 6(2): 1081-1101 (2023) - [c78]Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Hanna Suominen:
Neural Networks in Forecasting Financial Volatility. AI (1) 2023: 178-189 - [c77]Brenda Wang, Chirath Hettiarachchi, Hanna Suominen, Elena Daskalaki:
Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising. AI (1) 2023: 495-506 - [c76]Ran Cui, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen:
Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes. EMBC 2023: 1-7 - [c75]Robin Vlieger, Hanna Suominen, Deborah Apthorp, Christian J. Lück, Elena Daskalaki:
Evaluating methods of oversampling and averaging resting-state electroencephalography data in classifying Parkinson's disease. EMBC 2023: 1-5 - [c74]Robin Vlieger, Elena Daskalaki, Deborah Apthorp, Christian J. Lück, Hanna Suominen:
Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson's Disease. MedInfo 2023: 1480-1481 - [c73]Michelle Adiwangsa, Penny Sweetser, Duncan Stevenson, Hanna Suominen, Mingze Xi:
Augmenting Home Objects to Promote Physical Activity at Home. SUI 2023: 41:1-41:2 - [i12]Wenbo Ge, Pooia Lalbakhsh, Leigh Isai, Artem Lenskiy, Hanna Suominen:
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data. CoRR abs/2306.12446 (2023) - [i11]Andrea Papaluca, Daniel Krefl, Sergio Mendez Rodriguez, Artem Lenskiy, Hanna Suominen:
Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models. CoRR abs/2312.01954 (2023) - 2022
- [j15]Md. Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian Lück, Hanna Suominen:
The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. BMC Medical Informatics Decis. Mak. 22(1): 242 (2022) - [c72]Chenchen Xu, Dongxu Li, Hongdong Li, Hanna Suominen, Ben Swift:
Automatic Gloss Dictionary for Sign Language Learners. ACL (demo) 2022: 83-92 - [c71]Zara Maxwell-Smith, Michelle Kohler, Hanna Suominen:
Scoping natural language processing in Indonesian and Malay for education applications. ACL (student) 2022: 171-228 - [c70]Andrea Papaluca, Daniel Krefl, Hanna Suominen, Artem Lenskiy:
Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction. ACL (student) 2022: 373-382 - [c69]Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki:
Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes. AI 2022: 557-570 - [c68]Sandaru Seneviratne, Elena Daskalaki, Artem Lenskiy, Hanna Suominen:
CILex: An Investigation of Context Information for Lexical Substitution Methods. COLING 2022: 4124-4135 - [c67]Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin:
Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation. CVPR Workshops 2022: 354-363 - [c66]Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Eleni Daskalaki, Hanna Suominen:
A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation. EMBC 2022: 950-956 - 2021
- [c65]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI 2021: 65-76 - [c64]Wenbo Ge, Deborah Apthorp, Christian Lück, Hanna Suominen:
Which Features of Postural Sway are Effective in Distinguishing Parkinson's Disease Patients from Controls? An Experimental Investigation. BIBM 2021: 860-867 - [c63]Ran Cui, Chirath Hettiarachchi, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen:
Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network. CBMS 2021: 154-159 - [c62]Hanna Suominen, Lorraine Goeuriot, Liadh Kelly, Laura Alonso Alemany, Elias Bassani, Nicola Brew-Sam, Viviana Cotik, Darío Filippo, Gabriela González Sáez, Franco Luque, Philippe Mulhem, Gabriella Pasi, Roland Roller, Sandaru Seneviratne, Rishabh Upadhyay, Jorge Vivaldi, Marco Viviani, Chenchen Xu:
Overview of the CLEF eHealth Evaluation Lab 2021. CLEF 2021: 308-323 - [c61]Lorraine Goeuriot, Hanna Suominen, Gabriella Pasi, Elias Bassani, Nicola Brew-Sam, Gabriela Nicole González Sáez, Liadh Kelly, Philippe Mulhem, Sandaru Seneviratne, Rishabh Upadhyay, Marco Viviani, Chenchen Xu:
Consumer Health Search at CLEF eHealth 2021. CLEF (Working Notes) 2021: 751-769 - [c60]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops 2021: 3553-3558 - [c59]Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li:
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring. CVPR 2021: 7721-7731 - [c58]Lorraine Goeuriot, Hanna Suominen, Liadh Kelly, Laura Alonso Alemany, Nicola Brew-Sam, Viviana Cotik, Darío Filippo, Gabriela González Sáez, Franco Luque, Philippe Mulhem, Gabriella Pasi, Roland Roller, Sandaru Seneviratne, Jorge Vivaldi, Marco Viviani, Chenchen Xu:
CLEF eHealth Evaluation Lab 2021. ECIR (2) 2021: 593-600 - [c57]Ran Cui, Elena Daskalaki, Md. Zakir Hossain, Artem Lenskiy, Christopher J. Nolan, Hanna Suominen:
A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning. Nursing Informatics 2021: 36-38 - [c56]Sandaru Seneviratne, Artem Lenskiy, Christopher J. Nolan, Eleni Daskalaki, Hanna Suominen:
Comparison of Word and Character Level Information for Medical Term Identification Using Convolutional Neural Networks and Transformers. Nursing Informatics 2021: 249-253 - [c55]Robin Vlieger, Elena Daskalaki, Deborah Apthorp, Christian J. Lück, Hanna Suominen:
The Use of Event-Related Potentials and Machine Learning to Improve Diagnostic Testing and Prediction of Disease Progression in Parkinson's Disease. Nursing Informatics 2021: 333-335 - [c54]Hanna Suominen, Mehika Manocha, Jane Desborough, Anne Parkinson, Deborah Apthorp:
Finger Tapping Measures for Parkinson's Disease: Preliminary Evaluation of an Android Application for Data Collection in Australia. Nursing Informatics 2021: 475-480 - [i10]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR abs/2103.04066 (2021) - [i9]Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li:
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring. CoRR abs/2103.04260 (2021) - [i8]Haozhan Sun, Chenchen Xu, Hanna Suominen:
Analyzing the Granularity and Cost of Annotation in Clinical Sequence Labeling. CoRR abs/2108.09913 (2021) - [i7]Zimin Wan, Chenchen Xu, Hanna Suominen:
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings. CoRR abs/2109.07243 (2021) - 2020
- [c53]Saliha Muradoglu, Nicholas Evans, Hanna Suominen:
To compress or not to compress? A Finite-State approach to Nen verbal morphology. ACL (student) 2020: 207-213 - [c52]Zara Maxwell-Smith, Simón González Ochoa, Ben Foley, Hanna Suominen:
Applications of Natural Language Processing in Bilingual Language Teaching: An Indonesian-English Case Study. BEA@ACL 2020: 124-134 - [c51]Lorraine Goeuriot, Hanna Suominen, Liadh Kelly, Zhengyang Liu, Gabriella Pasi, Gabriela González Sáez, Marco Viviani, Chenchen Xu:
Overview of the CLEF eHealth 2020 Task 2: Consumer Health Search with Ad Hoc and Spoken Queries. CLEF (Working Notes) 2020 - [c50]Lorraine Goeuriot, Hanna Suominen, Liadh Kelly, Antonio Miranda-Escalada, Martin Krallinger, Zhengyang Liu, Gabriella Pasi, Gabriela González Sáez, Marco Viviani, Chenchen Xu:
Overview of the CLEF eHealth Evaluation Lab 2020. CLEF 2020: 255-271 - [c49]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
M2SGD: Learning to Learn Important Weights. CVPR Workshops 2020: 957-964 - [c48]Hanna Suominen, Liadh Kelly, Lorraine Goeuriot, Martin Krallinger:
CLEF eHealth Evaluation Lab 2020. ECIR (2) 2020: 587-594 - [c47]Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon:
A Token-Wise CNN-Based Method for Sentence Compression. ICONIP (1) 2020: 668-679 - [c46]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN 2020: 1-8 - [c45]Dongxu Li, Chenchen Xu, Xin Yu, Kaihao Zhang, Benjamin Swift, Hanna Suominen, Hongdong Li:
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation. NeurIPS 2020 - [i6]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
MTL2L: A Context Aware Neural Optimiser. CoRR abs/2007.09343 (2020) - [i5]Weiwei Hou, Hanna Suominen, Piotr Koniusz, Sabrina B. Caldwell, Tom Gedeon:
A Token-wise CNN-based Method for Sentence Compression. CoRR abs/2009.11260 (2020) - [i4]Dongxu Li, Chenchen Xu, Xin Yu, Kaihao Zhang, Ben Swift, Hanna Suominen, Hongdong Li:
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation. CoRR abs/2010.05468 (2020)
2010 – 2019
- 2019
- [c44]Chenchen Xu, Inger Mewburn, Will J. Grant, Hanna Suominen:
PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings. ACL (3) 2019: 43-48 - [c43]Liadh Kelly, Hanna Suominen, Lorraine Goeuriot, Mariana L. Neves, Evangelos Kanoulas, Dan Li, Leif Azzopardi, René Spijker, Guido Zuccon, Harrisen Scells, João R. M. Palotti:
Overview of the CLEF eHealth Evaluation Lab 2019. CLEF 2019: 322-339 - [c42]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Mariana L. Neves, Evangelos Kanoulas, René Spijker, Leif Azzopardi, Dan Li, Jimmy, João R. M. Palotti, Guido Zuccon:
CLEF eHealth 2019 Evaluation Lab. ECIR (2) 2019: 267-274 - [c41]Hafsa Ismail, Ibrahim Radwan, Hanna Suominen, Gordon Waddington, Roland Goecke:
Sway Risk Analysis Based on Age Group Classification. EMBC 2019: 392-398 - [c40]Hafsa Ismail, Ibrahim Radwan, Hanna Suominen, Roland Goecke:
Gait Estimation and Analysis from Noisy Observations. EMBC 2019: 2707-2712 - [p1]Hanna Suominen, Liadh Kelly, Lorraine Goeuriot:
The Scholarly Impact and Strategic Intent of CLEF eHealth Labs from 2012 to 2017. Information Retrieval Evaluation in a Changing World 2019: 333-363 - [i3]Marian-Andrei Rizoiu, Tianyu Wang, Gabriela Ferraro, Hanna Suominen:
Transfer Learning for Hate Speech Detection in Social Media. CoRR abs/1906.03829 (2019) - 2018
- [j14]Sumithra Velupillai, Hanna Suominen, Maria Liakata, Angus Roberts, Anoop D. Shah, Katherine Morley, David Osborn, Joseph Hayes, Robert Stewart, Johnny Downs, Wendy W. Chapman, Rina Dutta:
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. J. Biomed. Informatics 88: 11-19 (2018) - [c39]Dzikri Fudholi, Hanna Suominen:
The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid. NLP-TEA@ACL 2018: 83-87 - [c38]Hanna Suominen, Liadh Kelly, Lorraine Goeuriot, Aurélie Névéol, Lionel Ramadier, Aude Robert, Evangelos Kanoulas, René Spijker, Leif Azzopardi, Dan Li, Jimmy, João R. M. Palotti, Guido Zuccon:
Overview of the CLEF eHealth Evaluation Lab 2018. CLEF 2018: 286-301 - [c37]Liyuan Zhou, Qiongkai Xu, Hanna Suominen, Tom Gedeon:
EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption. SemEval@NAACL-HLT 2018: 449-453 - [i2]Leif W. Hanlen, Richard Nock, Hanna Suominen, Neil Bacon:
Private Text Classification. CoRR abs/1806.06998 (2018) - 2017
- [c36]Lorraine Goeuriot, Liadh Kelly, Hanna Suominen, Aurélie Névéol, Aude Robert, Evangelos Kanoulas, René Spijker, João R. M. Palotti, Guido Zuccon:
CLEF 2017 eHealth Evaluation Lab Overview. CLEF 2017: 291-303 - [c35]Hafsa Ismail, Ibrahim Radwan, Hanna Suominen, Gordon Waddington, Roland Goecke:
Human Postural Sway Estimation from Noisy Observations. FG 2017: 454-461 - [c34]Hanna Suominen, Henning Müller, Lucila Ohno-Machado, Sanna Salanterä, Günter Schreier, Leif Hanlen:
Prerequisites for International Exchanges of Health Information for Record Research: Comparison of Australian, Austrian, Finnish, Swiss, and US Policies. MedInfo 2017: 1312 - 2016
- [j13]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martínez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W. Chapman:
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2. J. Biomed. Semant. 7: 43 (2016) - [c33]Cheng Yu, Bing Chu, Rohit Ram, James Aichinger, Lizhen Qu, Hanna Suominen:
Pairwise FastText Classifier for Entity Disambiguation. ALTA 2016: 175-179 - [c32]Hanna Suominen, Liyuan Zhou, Lorraine Goeuriot, Liadh Kelly:
Task 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction. CLEF (Working Notes) 2016: 1-14 - [c31]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Aurélie Névéol, João R. M. Palotti, Guido Zuccon:
Overview of the CLEF eHealth Evaluation Lab 2016. CLEF 2016: 255-266 - [i1]Hanna Suominen, Henning Müller, Lucila Ohno-Machado, Sanna Salanterä, Günter Schreier, Leif Hanlen:
Prerequisites for International Exchanges of Health Information: Comparison of Australian, Austrian, Finnish, Swiss, and US Privacy Policies. CoRR abs/1612.04902 (2016) - 2015
- [j12]Sameer Pradhan, Noémie Elhadad, Brett R. South, David Martínez, Lee M. Christensen, Amy Vogel, Hanna Suominen, Wendy W. Chapman, Guergana Savova:
Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. J. Am. Medical Informatics Assoc. 22(1): 143-154 (2015) - [j11]Hanna Suominen, Maree Johnson, Liyuan Zhou, Paula Sanchez, Raul Sirel, Jim Basilakis, Leif Hanlen, Dominique Estival, Linda Dawson, Barbara Kelly:
Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction. J. Am. Medical Informatics Assoc. 22(e1): e48-e66 (2015) - [j10]David Martínez, Michelle Ananda-Rajah, Hanna Suominen, Monica A. Slavin, Karin A. Thursky, Lawrence Cavedon:
Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans. J. Biomed. Informatics 53: 251-260 (2015) - [c30]Liyuan Zhou, Hanna Suominen:
Information Extraction to Improve Standard Compliance - The Case of Clinical Handover. Australasian Conference on Artificial Intelligence 2015: 644-649 - [c29]Lorraine Goeuriot, Liadh Kelly, Hanna Suominen, Leif Hanlen, Aurélie Névéol, Cyril Grouin, João R. M. Palotti, Guido Zuccon:
Overview of the CLEF eHealth Evaluation Lab 2015. CLEF 2015: 429-443 - [c28]Hanna Suominen, Leif Hanlen, Lorraine Goeuriot, Liadh Kelly, Gareth J. F. Jones:
Task 1a of the CLEF eHealth Evaluation Lab 2015: Clinical Speech Recognition. CLEF (Working Notes) 2015 - [c27]Liyuan Zhou, Hanna Suominen, Leif Hanlen:
Evaluation Data and Benchmarks for Cascaded Speech Recognition and Entity Extraction. SLAM@ACM Multimedia 2015: 15-18 - 2014
- [j9]Hanna Suominen:
Text mining and information analysis of health documents. Artif. Intell. Medicine 61(3): 127-130 (2014) - [j8]Linda Dawson, Maree Johnson, Hanna Suominen, Jim Basilakis, Paula Sanchez, Dominique Estival, Barbara Kelly, Leif Hanlen:
A usability framework for speech recognition technologies in clinical handover: A pre-implementation study. J. Medical Syst. 38(6): 56 (2014) - [j7]Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis, Linda Dawson:
A systematic review of speech recognition technology in health care. BMC Medical Informatics Decis. Mak. 14: 94 (2014) - [c26]Gabriela Ferraro, Hanna Suominen, Jaume Nualart:
Segmentation of patent claims for improving their readability. PITR@EACL 2014: 66-73 - [c25]Donglu Wang, Gabriela Ferraro, Hanna Suominen, Osmat A. Jefferson:
Automated Categorisation of Patent Claims that Reference Human Genome Sequences. ADCS 2014: 117 - [c24]Hanna Suominen, Tobias Schreck, Gondy Leroy, Harry Hochheiser, Lorraine Goeuriot, Liadh Kelly, Danielle L. Mowery, Jaume Nualart, Gabriela Ferraro, Daniel A. Keim:
Task 1 of the CLEF eHealth Evaluation Lab 2014. CLEF (Working Notes) 2014: 1-30 - [c23]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Tobias Schreck, Gondy Leroy, Danielle L. Mowery, Sumithra Velupillai, Wendy W. Chapman, David Martínez, Guido Zuccon, João R. M. Palotti:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2014. CLEF 2014: 172-191 - 2013
- [c22]Hanna Suominen, Gabriela Ferraro:
Noise in Speech-to-Text Voice: Analysis of Errors and Feasibility of Phonetic Similarity for Their Correction. ALTA 2013: 34-42 - [c21]Hanna Suominen, Leif Hanlen:
Visual summarisation of text for surveillance and situational awareness in hospitals. ADCS 2013: 89-96 - [c20]Karl Kreiner, Aapo Immonen, Hanna Suominen:
Crisis management knowledge from social media. ADCS 2013: 105-108 - [c19]Lorraine Goeuriot, Gareth J. F. Jones, Liadh Kelly, Johannes Leveling, Allan Hanbury, Henning Müller, Sanna Salanterä, Hanna Suominen, Guido Zuccon:
ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports. CLEF (Working Notes) 2013 - [c18]Danielle L. Mowery, Brett R. South, Lee M. Christensen, Laura-Maria Murtola, Sanna Salanterä, Hanna Suominen, David Martínez, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman:
Task 2: ShARe/CLEF eHealth Evaluation Lab 2013. CLEF (Working Notes) 2013 - [c17]Sameer Pradhan, Noémie Elhadad, Brett R. South, David Martínez, Lee M. Christensen, Amy Vogel, Hanna Suominen, Wendy W. Chapman, Guergana K. Savova:
Task 1: ShARe/CLEF eHealth Evaluation Lab 2013. CLEF (Working Notes) 2013 - [c16]Hanna Suominen, Sanna Salanterä, Sumithra Velupillai, Wendy Webber Chapman, Guergana K. Savova, Noemie Elhadad, Sameer Pradhan, Brett R. South, Danielle L. Mowery, Gareth J. F. Jones, Johannes Leveling, Liadh Kelly, Lorraine Goeuriot, David Martínez, Guido Zuccon:
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013. CLEF 2013: 212-231 - [c15]Lorraine Goeuriot, Liadh Kelly, Gareth J. F. Jones, Guido Zuccon, Hanna Suominen, Allan Hanbury, Henning Müller, Johannes Leveling:
Creation of a New Evaluation Benchmark for Information Retrieval Targeting Patient Information Needs. EVIA@NTCIR 2013 - 2012
- [j6]Tapio Pahikkala, Hanna Suominen, Jorma Boberg:
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. Mach. Learn. 87(3): 381-407 (2012) - [c14]David Martínez, Hanna Suominen, Michelle Ananda-Rajah, Lawrence Cavedon:
Biosurveillance for Invasive Fungal Infections via Text Mining. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c13]Hanna Suominen:
CLEFeHealth2012 - The CLEF 2012 Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c12]Hanna Suominen:
Towards International Privacy-preserving Benchmarks of eHealth Technologies. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c11]Hanna Suominen, Jim Basilakis, Maree Johnson, Linda Dawson, Leif Hanlen, Barbara Kelly, Anthony Yeo, Paula Sanchez:
Clinical Speech to Text Evaluation Setting. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c10]Hanna Suominen, Karl Kreiner, Mike Wu, Leif Hanlen:
Towards Ease of Building Legos in Assessing eHealth Language Technologies A RESTful Laboratory for Data and Software. CLEF (Online Working Notes/Labs/Workshop) 2012 - 2011
- [j5]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies. J. Biomed. Semant. 2(S-3): S1 (2011) - [c9]Xing Yu Su, Hanna Suominen, Leif Hanlen:
Machine Intelligence for Health Information: Capturing Concepts and Trends in Social Media via Query Expansion. HIC 2011: 150-157 - [c8]Sarvnaz Karimi, David Martínez, Sumukh Ghodke, Lawrence Cavedon, Hanna Suominen, Lumin Zhang:
Search for Medical Records: NICTA at TREC 2011 Medical Track. TREC 2011 - 2010
- [c7]Helen Allvin, Elin Carlsson, Hercules Dalianis, Riitta Danielsson-Ojala, Vidas Daudaravicius, Martin Hassel, Dimitrios Kokkinakis, Heljä Lundgrén-Laine, Gunnar H. Nilsson, Øystein Nytrø, Sanna Salanterä, Maria Skeppstedt, Hanna Suominen, Sumithra Velupillai:
Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. Louhi@NAACL-HLT 2010: 53-60
2000 – 2009
- 2009
- [j4]Filip Ginter, Hanna Suominen, Sampo Pyysalo, Tapio Salakoski:
Combining hidden Markov models and latent semantic analysis for topic segmentation and labeling: Method and clinical application. Int. J. Medical Informatics 78(12): 1-6 (2009) - [j3]Helena Karsten, Hanna Suominen:
Mining of clinical and biomedical text and data: Editorial of the special issue. Int. J. Medical Informatics 78(12): 786-787 (2009) - [c6]Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski:
Efficient Hold-Out for Subset of Regressors. ICANNGA 2009: 350-359 - [c5]Hanna Suominen, Heljä Lundgrén-Laine, Sanna Salanterä, Tapio Salakoski:
Evaluating Pain in Intensive Care. Nursing Informatics 2009: 192-196 - [c4]Heljä Lundgrén-Laine, Hanna Suominen, Elina Kontio, Sanna Salanterä:
Intensive Care Admission and Discharge - Critical Decision-Making Points. Nursing Informatics 2009: