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ORCIDAmal Perera
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- affiliation: University of Moratuwa, Sri Lanka
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2020 – today
- 2024
[j8]Amal Shehan Perera
, Chandi Witharana, Elias Manos, Anna K. Liljedahl:
Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning. IEEE Access 12: 43062-43077 (2024)- 2023
- [c41]Anjana Wijesinghe, Thanuja D. Ambegoda, Amal Shehan Perera, Thillaiampalam Sivakumar:
Siamese Networks for RF-Based Vehicle Trajectory Prediction. ICIIS 2023: 495-500 - [i13]J. Dulangi Kanchana, Gayashan Amarasinghe, Vishaka Nanayakkara, Amal Shehan Perera:
A Set of Essentials for Online Learning : CSE-SET. CoRR abs/2303.14621 (2023) - 2022
- [j7]Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, Anjana Wijesinghe:
Context Sensitive Verb Similarity Dataset for Legal Information Extraction. Data 7(7): 87 (2022) - [j6]Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
SigmaLaw PBSA - A Deep Learning Approach For Aspect Based Sentiment Analysis in Legal Opinion Texts. J. Data Intell. 3(1): 101-115 (2022) - [j5]Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
Legal Party Extraction from Legal Opinion Texts Using Recurrent Deep Neural Networks. J. Data Intell. 3(3): 350-365 (2022) - [c40]Kirishnni Prabagar, Kogul Srikandabala, Nilaan Loganathan, Daswin De Silva, Gihan Gamage, Prabod Rathnayaka, Amal Shehan Perera, Damminda Alahakoon:
Investigating COVID-19 Vaccine Messaging in Online Social Networks using Artificial Intelligence. HSI 2022: 1-6 - [c39]Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera:
Legal Case Winning Party Prediction With Domain Specific Auxiliary Models. ROCLING 2022: 205-213 - 2021
- [j4]Pawara Gunawardena, Oshada Amila, Heshan Sudarshana, Rashmika Nawaratne, Ashish Kr. Luhach, Damminda Alahakoon, Amal Shehan Perera, Charith Chitraranjan, Naveen K. Chilamkurti, Daswin De Silva:
Real-time automated video highlight generation with dual-stream hierarchical growing self-organizing maps. J. Real Time Image Process. 18(5): 1457-1475 (2021) - [c38]Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka:
Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain. DEXA (1) 2021: 125-137 - [c37]Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera:
Critical Sentence Identification in Legal Cases Using Multi-Class Classification. ICIIS 2021: 146-151 - [c36]Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
Identifying Legal Party Members from Legal Opinion Documents using Natural Language Processing. iiWAS 2021: 259-266 - [c35]J. Dulangi Kanchana, Gayashan Amarasinghe, Vishaka Nanayakkara, Amal Shehan Perera:
A Data Mining Approach for Early Prediction Of Academic Performance of Students. TALE 2021: 1-8 - [i12]Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal S. Kumarage:
User Localization Based on Call Detail Records. CoRR abs/2108.09157 (2021) - [i11]Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera:
Critical Sentence Identification in Legal Cases Using Multi-Class Classification. CoRR abs/2111.05721 (2021) - 2020
- [c34]Sudeepa Nadeeshan, Amal Shehan Perera:
A Map Matching Algorithm for Noisy, Low Frequent Public Transportation GPS Data. CoDIT 2020: 1081-1086 - [c33]Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana:
SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts. ICIIS 2020: 488-493 - [c32]Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
Party Identification of Legal Documents using Co-reference Resolution and Named Entity Recognition. ICIIS 2020: 494-499 - [c31]Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana:
Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. PACLIC 2020: 252-260 - [i10]Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana:
Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. CoRR abs/2011.00318 (2020) - [i9]Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera:
Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts. CoRR abs/2011.05675 (2020) - [i8]Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana:
SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts. CoRR abs/2011.06326 (2020)
2010 – 2019
- 2019
- [c30]Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera:
Shift-of-Perspective Identification within Legal Cases. ASAIL@ICAIL 2019 - [c29]Dimuthu Lakmal, Kumaran Kugathasan, Vishaka Nanayakkara, Suranga Jayasena, Amal Shehan Perera, Lasantha Fernando:
Brown Planthopper Damage Detection using Remote Sensing and Machine Learning. ICMLA 2019: 97-104 - [c28]Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal Kumarage:
User Localization Based on Call Detail Record. IDEAL (1) 2019: 411-423 - [i7]Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera:
Shift-of-Perspective Identification Within Legal Cases. CoRR abs/1906.02430 (2019) - 2018
- [c27]Viraj Salaka Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe:
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. WASSA@EMNLP 2018: 260-265 - [i6]Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera:
Legal Document Retrieval using Document Vector Embeddings and Deep Learning. CoRR abs/1805.10685 (2018) - [i5]Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Amal Shehan Perera:
Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations. CoRR abs/1809.03416 (2018) - [i4]Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe:
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning. CoRR abs/1810.01912 (2018) - 2017
- [c26]Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera:
Synergistic union of Word2Vec and lexicon for domain specific semantic similarity. ICIIS 2017: 1-6 - [i3]Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera:
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity. CoRR abs/1706.01967 (2017) - [i2]Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha:
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings. CoRR abs/1706.02909 (2017) - [i1]Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, Madhavi Perera:
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings. CoRR abs/1709.02911 (2017) - 2016
- [c25]Dinithi Sumanaweera, Amal Shehan Perera:
An Ensemble Based in Silico Prediction of Saccharomyces Cerevisiae Proteins under Mitochondrion Organization. BIBE 2016: 13-20 - [c24]Charith D. Chitraranjan, Anne M. Denton, Amal Shehan Perera:
A Complete Observation Model for Tracking Vehicles from Mobile Phone Signal Strengths and Its Potential in Travel-Time Estimation. VTC Fall 2016: 1-7 - 2015
- [c23]Thilina Rathnayake, Maheshakya Wijewardena, Thimal Kempitiya, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps. IDA 2015: 229-240 - [c22]Charith Chitraranjan, Amal Perera, Anne M. Denton:
Tracking vehicle trajectories by local dynamic time warping of mobile phone signal strengths and its potential in travel-time estimation. PerCom Workshops 2015: 445-450 - [c21]Maheshakya Wijewardena, Thimal Kempitiya, Thilina Rathnayake, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Heterogeneous data fusion with multiple kernel growing self organizing maps. SCAI 2015: 167-176 - 2014
- [c20]K. M. T. V. Ganegedara, Lasindu C. Vidana Pathiranage, U. A. R. Ruwan Gunarathna, Buddhima S. Wijeweera, Amal Shehan Perera, Damminda Alahakoon:
Extending dynamic SOMs to capture incremental changes in data. IJCNN 2014: 1231-1238 - 2011
- [c19]Arjun G. Roy, Matthew Piehl, Arijit Chatterjee, Mohammad K. Hossain, Bryan Mesich, Tingda Lu, Gregory H. Wettstein, Amal Perera, William Perrizo:
Fast Attribute-based Unsupervised and Supervised Table Clustering using P-Trees. SEDE 2011: 139-142 - [e1]Ashok N. Srivastava, Nitesh V. Chawla, Amal Shehan Perera:
Proceedings of the 2011 Conference on Intelligent Data Understanding, CIDU 2011, October 19-21, 2011, Mountain View, California, USA. NASA Ames Research Center 2011 [contents] - 2010
- [c18]Tingda Lu, Yan Wang, William Perrizo, Amal Perera, Gregory H. Wettstein:
Extension Study on Item-Based P-Tree Collaborative Filtering Algorithm for Netflix Prize. CATA 2010: 180-185
2000 – 2009
- 2009
- [c17]Amal Shehan Perera, William Perrizo:
Gene Function Prediction. SEDE 2009: 26-31 - [c16]Tingda Lu, William Perrizo, Yan Wang, Gregory H. Wettstein, Amal Shehan Perera:
Experimental Study on Item-based P-Tree Collaborative Filtering Algorithm for Netflix. SEDE 2009: 149-154 - [c15]Amal Shehan Perera, D. G. Niroshini Dayaratne, William Perrizo:
Evolutionary Nearest Neighbour Classification Framework. SEDE 2009: 250-255 - [c14]William Perrizo, Gregory H. Wettstein, Amal Shehan Perera, Tingda Lu:
The Universality of Nearest Neighbor Sets in Classification and Prediction. SEDE 2009: 256-259 - 2008
- [c13]D. A. Meedeniya, Amal Shehan Perera:
A Comparative Study on Data Representation to Categorize Text Documents. SEKE 2008: 371-374 - 2007
- [c12]Amal Perera, William Perrizo:
Parameter Optimized, Vertical, Nearest-Neighbor-Vote and Boundary-Based Classification. CATA 2007: 24-29 - 2006
- [j3]Taufik Fuadi Abidin, Amal Perera, Masum Serazi, William Perrizo:
A Vertical Approach to Computing Set Squared Distance. Int. J. Comput. Their Appl. 13(2): 94-102 (2006) - [j2]William Perrizo, Amal Perera:
Parameter optimized, vertical, nearest-neighbor-vote and boundary-based classification. SIGKDD Explor. 8(2): 63-69 (2006) - [c11]Amal Perera, William Perrizo:
Vertical K-Median Clustering. CATA 2006: 366-371 - 2005
- [c10]Taufik Fuadi Abidin, Amal Perera, Masum Serazi, William Perrizo:
Vertical Set Square Distance: A Fast and Scalable Technique to Compute Total Variation in Large Datasets. CATA 2005: 60-65 - [c9]Amal Perera, Taufik Fuadi Abidin, Masum Serazi, George Hamer, William Perrizo:
Vertical Set Square Distance Based Clustering without Prior Knowledge of K. IASSE 2005: 72-77 - [c8]Masum Serazi, Amal Perera, Taufik Fuadi Abidin, George Hamer, William Perrizo:
An Api for Transparent Distributed Vertical Data Mining. IASSE 2005: 151-156 - [c7]Imad Rahal, Dongmei Ren, Amal Perera, Hassan Najadat, William Perrizo, Riad Rahhal, Willy Valdivia Granda:
Incremental interactive mining of constrained association rules from biological annotation data with nominal features. SAC 2005: 123-127 - 2004
- [c6]Masum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, William Perrizo:
Multi-Layered Framework for Distributed Data Mining. IASSE 2004: 63-67 - [c5]Masum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, Imad Rahal, Fei Pan, Dongmei Ren, Weihua Wu, William Perrizo:
DataMIME™. SIGMOD Conference 2004: 923-924 - 2003
- [c4]Paul Juell, Amal Perera, Kendall E. Nygard:
Genetic Algorithm to Improve a Solution for a General Assignment Problem. CAINE 2003: 54-57 - 2002
- [j1]Amal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo:
P-tree Classification of Yeast Gene Deletion Data. SIGKDD Explor. 4(2): 108-109 (2002) - [c3]Amal Shehan Perera, Masum Serazi, William Perrizo:
Performance Improvement for Bayesian Classification on Spatial Data with P-Trees. CAINE 2002: 20-14 - [c2]William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang:
Multimedia Data Mining Using P-Trees. MDM/KDD 2002: 19-29 - [c1]William Perrizo, William Jockheck, Amal Perera, Dongmei Ren, Weihua Wu, Yi Zhang:
Multimedia Data Mining Using P-Trees. Revised Papers from MDM/KDD and PAKDD/KDMCD 2002: 100-117
Coauthor Index
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