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2020 – today
- 2024
[c58]Nirmalie Wiratunga
, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, Ruvan Weerasinghe, Anne Liret, Bruno Fleisch:
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. ICCBR 2024: 445-460- [c57]Glenn Forbes, Stewart Massie:
Optimising for Dense Deployments in Commercial Ambient Human Sensing with WiFi CSI. RTCSA 2024: 124-129 - [i2]Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, Ruvan Weerasinghe, Anne Liret, Bruno Fleisch:
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. CoRR abs/2404.04302 (2024) - 2023
- [c56]Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie:
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) 2023: 153-161 - [c55]Ashish Upadhyay, Stewart Massie:
CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation. ICCBR 2023: 34-49 - [e2]Stewart Massie, Sutanu Chakraborti:
Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, UK, July 17-20, 2023, Proceedings. Lecture Notes in Computer Science 14141, Springer 2023, ISBN 978-3-031-40176-3 [contents] - 2022
- [c54]Ashish Upadhyay, Stewart Massie:
Content Type Profiling of Data-to-Text Generation Datasets. COLING 2022: 5770-5782 - [c53]Ashish Upadhyay, Stewart Massie:
A Case-Based Approach for Content Planning in Data-to-Text Generation. ICCBR 2022: 380-394 - 2021
- [j8]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Deepak P:
Emotion-aware polarity lexicons for Twitter sentiment analysis. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j7]Blessing Mbipom, Susan Craw, Stewart Massie:
Improving e-learning recommendation by using background knowledge. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [c52]Ashish Upadhyay, Stewart Massie, Ritwik Kumar Singh, Garima Gupta, Muneendra Ojha:
A Case-Based Approach to Data-to-Text Generation. ICCBR 2021: 232-247 - [i1]Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare:
Motion Detection using CSI from Raspberry Pi 4. CoRR abs/2111.09091 (2021) - 2020
- [j6]Glenn Forbes, Stewart Massie, Susan Craw:
Fall prediction using behavioural modelling from sensor data in smart homes. Artif. Intell. Rev. 53(2): 1071-1091 (2020) - [c51]Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall:
WEC: Weighted Ensemble of Text Classifiers. CEC 2020: 1-8 - [c50]Ashish Upadhyay, Stewart Massie, Sean Clogher:
Case-Based Approach to Automated Natural Language Generation for Obituaries. ICCBR 2020: 279-294 - [c49]Glenn Forbes, Stewart Massie, Susan Craw:
WiFi-based Human Activity Recognition using Raspberry Pi. ICTAI 2020: 722-730 - [c48]Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton:
Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c47]Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie:
Workshop preface. ICCBR Workshops 2019: 6-7 - [c46]Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton:
Representing Temporal Dependencies in Human Activity Recognition. ICCBR Workshops 2019: 29-38 - 2018
- [c45]Blessing Mbipom, Stewart Massie, Susan Craw:
An E-Learning Recommender That Helps Learners Find the Right Materials. AAAI 2018: 7928-7933 - [c44]Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton:
FITsense: Employing Multi-modal Sensors in Smart Homes to Predict Falls. ICCBR 2018: 249-263 - [c43]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper:
Personalised Human Activity Recognition Using Matching Networks. ICCBR 2018: 339-353 - [c42]Anjana Wijekoon, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Kay Cooper:
Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models. ICCBR 2018: 448-463 - [c41]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar:
Opinion Context Extraction for Aspect Sentiment Analysis. ICWSM 2018: 564-567 - [c40]Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton:
Monitoring Health In Smart Homes Using Simple Sensors. KDH@IJCAI 2018: 33-37 - [c39]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper:
Matching networks for personalised human activity recognition. AIH@IJCAI 2018: 61-64 - [c38]Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Stewart Massie, Kit-Ying Hui, Rachel Heaven:
Ontology Alignment Based on Word Embedding and Random Forest Classification. ECML/PKDD (1) 2018: 557-572 - [c37]Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos:
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. 2018: 34-49 - [c36]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar:
Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge. SGAI Conf. 2018: 357-371 - 2017
- [j5]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Deepak Padmanabhan:
Lexicon Generation for Emotion Detection from Text. IEEE Intell. Syst. 32(1): 102-108 (2017) - [j4]Anil Bandhakavi, Nirmalie Wiratunga, Deepak Padmanabhan, Stewart Massie:
Lexicon based feature extraction for emotion text classification. Pattern Recognit. Lett. 93: 133-142 (2017) - [c35]Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Kit-Ying Hui, Rachel Heaven, Stewart Massie:
Taxonomic Corpus-Based Concept Summary Generation for Document Annotation. TPDL 2017: 49-60 - [c34]Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jérémie Clos:
A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. ICCBR (Workshops) 2017: 85-94 - [c33]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie:
Learning Deep Features for kNN-Based Human Activity Recognition. ICCBR (Workshops) 2017: 95-103 - [c32]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper:
kNN Sampling for Personalised Human Activity Recognition. ICCBR 2017: 330-344 - [c31]Yoke Yie Chen, Nirmalie Wiratunga, Stewart Massie, Jenny Hall, Kate Stephen, Amanda Croall, Jacky MacMillan, Lesley Murray, Geoff Wilcock, Sandra MacRury:
Designing a Personalised Case-Based Recommender System for Mobile Self-Management of Diabetes During Exercise. KDH@IJCAI 2017: 7-12 - [c30]Sadiq Sani, Stewart Massie, Nirmalie Wiratunga, Kay Cooper:
Learning Deep and Shallow Features for Human Activity Recognition. KSEM 2017: 469-482 - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - 2016
- [j3]Eduardo Lupiani, Stewart Massie, Susan Craw, Jose M. Juarez, José T. Palma:
Case-base maintenance with multi-objective evolutionary algorithms. J. Intell. Inf. Syst. 46(2): 259-284 (2016) - [c29]Blessing Mbipom, Susan Craw, Stewart Massie:
Harnessing Background Knowledge for E-Learning Recommendation. SGAI Conf. 2016: 3-17 - [c28]Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, P. Deepak:
Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter. SGAI Conf. 2016: 71-85 - [c27]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper:
SELFBACK - Activity Recognition for Self-management of Low Back Pain. SGAI Conf. 2016: 281-294 - 2015
- [j2]Ben Horsburgh, Susan Craw, Stewart Massie:
Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artif. Intell. 219: 25-39 (2015) - [c26]Susan Craw, Ben Horsburgh, Stewart Massie:
Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail. ICCBR 2015: 73-87 - [c25]Susan Craw, Ben Horsburgh, Stewart Massie:
Music Recommenders: User Evaluation Without Real Users? IJCAI 2015: 1749-1755 - 2014
- [c24]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian:
Supervised Semantic Indexing Using Sub-spacing. ICCBR 2014: 420-434 - [c23]Anil Bandhakavi, Nirmalie Wiratunga, Deepak P, Stewart Massie:
Generating a Word-Emotion Lexicon from #Emotional Tweets. *SEM@COLING 2014: 12-21 - 2013
- [j1]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie, Stefan Stulajter:
An application of a GA with Markov network surrogate to feature selection. Int. J. Syst. Sci. 44(11): 2039-2056 (2013) - [c22]Eduardo Lupiani, Susan Craw, Stewart Massie, José M. Juárez, José T. Palma:
A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance. ICCBR 2013: 218-232 - [c21]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian:
Should Term-Relatedness Be Used in Text Representation? ICCBR 2013: 285-298 - [c20]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian:
Sentiment Classification Using Supervised Sub-Spacing. SGAI Conf. 2013: 109-122 - 2012
- [c19]Ben Horsburgh, Susan Craw, Stewart Massie:
Music-Inspired Texture Representation. AAAI 2012: 52-58 - [c18]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian:
Event Extraction for Reasoning with Text. ICCBR 2012: 384-398 - 2011
- [c17]Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian:
Term Similarity and Weighting Framework for Text Representation. ICCBR 2011: 304-318 - [c16]Richard Thomson, Stewart Massie, Susan Craw, Hatem Ahriz, Ian Mills:
Plan Recommendation for Well Engineering. IEA/AIE (2) 2011: 436-445 - [c15]Ben Horsburgh, Susan Craw, Stewart Massie, Robin Boswell:
Finding the Hidden Gems: Recommending Untagged Music. IJCAI 2011: 2256-2261 - 2010
- [c14]Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie:
Using a Markov network as a surrogate fitness function in a genetic algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c13]Karthik Jayanthi, Sutanu Chakraborti, Stewart Massie:
Introspective Knowledge Revision in Textual Case-Based Reasoning. ICCBR 2010: 171-185
2000 – 2009
- 2008
- [c12]Sutanu Chakraborti, Ulises Cerviño Beresi, Nirmalie Wiratunga, Stewart Massie, Robert Lothian, Deepak Khemani:
Visualizing and Evaluating Complexity of Textual Case Bases. ECCBR 2008: 104-119 - [c11]Amandine Orecchioni, Nirmalie Wiratunga, Stewart Massie, Susan Craw:
k-NN Aggregation with a Stacked Email Representation. ECCBR 2008: 415-429 - [c10]M. A. Raghunandan, Nirmalie Wiratunga, Sutanu Chakraborti, Stewart Massie, Deepak Khemani:
Evaluation Measures for TCBR Systems. ECCBR 2008: 444-458 - 2007
- [c9]Susan Craw, Stewart Massie, Nirmalie Wiratunga:
Informed Case Base Maintenance: A Complexity Profiling Approach. AAAI 2007: 1618-1621 - [c8]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
When Similar Problems Don't Have Similar Solutions. ICCBR 2007: 92-106 - [c7]Stewart Massie, Nirmalie Wiratunga, Susan Craw, Alessandro Donati, Emmanuel Vicari:
From Anomaly Reports to Cases. ICCBR 2007: 359-373 - 2006
- [b1]Stewart Massie:
Complexity modelling for case knowledge maintenance in case-based reasoning. Robert Gordon University, Aberdeen, UK, 2006 - [c6]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
Complexity Profiling for Informed Case-Base Editing. ECCBR 2006: 325-339 - [c5]Nirmalie Wiratunga, Robert Lothian, Stewart Massie:
Unsupervised Feature Selection for Text Data. ECCBR 2006: 340-354 - 2005
- [c4]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
Complexity-Guided Case Discovery for Case Based Reasoning. AAAI 2005: 216-221 - 2004
- [c3]Nirmalie Wiratunga, Ivan Koychev, Stewart Massie:
Feature Selection and Generalisation for Retrieval of Textual Cases. ECCBR 2004: 806-820 - [c2]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation. SGAI Conf. (Applications) 2004: 222-234 - 2003
- [c1]Nirmalie Wiratunga, Susan Craw, Stewart Massie:
Index Driven Selective Sampling for CBR. ICCBR 2003: 637-651
Coauthor Index
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