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Haytham Assem
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2020 – today
- 2024
- [c33]Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem:
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification. LREC/COLING 2024: 8708-8718 - [c32]Zheng Zhao
, Emilio Monti, Jens Lehmann, Haytham Assem:
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. NAACL-HLT 2024: 4225-4237 - [i6]Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem:
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. CoRR abs/2405.02750 (2024) - [i5]Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta, Haytham Assem:
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification. CoRR abs/2405.19967 (2024) - 2023
- [j3]Mihael Arcan
Intent Classification by the Use of Automatically Generated Knowledge Graphs. Inf. 14(5): 288 (2023) - 2022
- [c31]James O'Neill, Sourav Dutta, Haytham Assem:
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. ACL (Findings) 2022: 3391-3401 - [c30]Silviu Vlad Oprea
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment. COLING 2022: 1089-1097 - [c29]Sourav Dutta
Enhanced Sentence Meta-Embeddings for Textual Understanding. ECIR (2) 2022: 111-119 - [c28]Rajdeep Sarkar, Sourav Dutta
Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain Adaptation. KDD 2022: 3849-3857 - [c27]Edward Burgin, Sourav Dutta
Cage: A Hybrid Framework for Closed-Domain Conversational Agents. ECML/PKDD (6) 2022: 636-640 - [c26]James O'Neill, Sourav Dutta
Self-distilled Pruning of Deep Neural Networks. ECML/PKDD (2) 2022: 655-670 - [i4]James O'Neill, Sourav Dutta, Haytham Assem:
Aligned Weight Regularizers for Pruning Pretrained Neural Networks. CoRR abs/2204.01385 (2022) - 2021
- [c25]Haytham Assem, Rajdeep Sarkar, Sourav Dutta
Qasar: Self-Supervised Learning Framework for Extractive Question Answering. IEEE BigData 2021: 1797-1808 - [c24]Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders. IEEE BigData 2021: 1889-1899 - [c23]Koustava Goswami, Sourav Dutta
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. IEEE BigData 2021: 2034-2039 - [c22]Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen
Cross-lingual Sentence Embedding using Multi-Task Learning. EMNLP (1) 2021: 9099-9113 - [c21]Haytham Assem, Sourav Dutta, Edward Burgin:
DTAFA: Decoupled Training Architecture for Efficient FAQ Retrieval. SIGDIAL 2021: 423-430 - [i3]Sourav Dutta, Haytham Assem, Edward Burgin:
Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval. CoRR abs/2108.10019 (2021) - [i2]James O'Neill, Sourav Dutta, Haytham Assem:
Deep Neural Compression Via Concurrent Pruning and Self-Distillation. CoRR abs/2109.15014 (2021) - 2020
- [c20]Ihsan Ullah
Classification of Cybercrime Indicators in Open Social Data. SIMBig 2020: 317-332 - [i1]Silviu Oprea, Sourav Dutta, Haytham Assem:
Unsupervised Word Translation Pairing using Refinement based Point Set Registration. CoRR abs/2011.13200 (2020)
2010 – 2019
- 2019
- [c19]Cristian Olariu, Haytham Assem, Juan Diego Ortega, Marcos Nieto:
A Cloud-Based AI Framework for Machine Learning Orchestration: A "Driving or Not-Driving" Case-Study for Self-Driving Cars. IV 2019: 1715-1722 - [e1]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - 2018
- [c18]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
A Framework for Enterprise Social Network Assessment and Weak Ties Recommendation. ASONAM 2018: 678-685 - [c17]Faisal Ghaffar, Teodora Sandra Buda, Haytham Assem, Armita Afsharinejad, Neil Hurley:
SCCD: Social Capital-Driven Career Development Framework. ASONAM 2018: 1295-1298 - [c16]Marius Corici
Practical Performance Degradation Mitigation Solution Using Anomaly Detection for Carrier-Grade Software Networks. CSCN 2018: 1-6 - [c15]Shane Brady, Damien Magoni
Analysis of Machine Learning Techniques for Anomaly Detection in the Internet of Things. LA-CCI 2018: 1-6 - [c14]Teodora Sandra Buda, Bora Caglayan, Haytham Assem:
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. PAKDD (1) 2018: 577-588 - [c13]Haytham Assem
ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction. ECML/PKDD (3) 2018: 222-237 - 2017
- [j2]Haytham Assem
RCMC: Recognizing Crowd-Mobility Patterns in Cities Based on Location Based Social Networks Data. ACM Trans. Intell. Syst. Technol. 8(5): 70:1-70:30 (2017) - [c12]Teodora Sandra Buda, Haytham Assem, Lei Xu:
ADE: An ensemble approach for early Anomaly Detection. IM 2017: 442-448 - [c11]Haytham Assem, Salem Gharbia, Gabor Makrai, Paul Johnston, Laurence W. Gill
Urban Water Flow and Water Level Prediction Based on Deep Learning. ECML/PKDD (3) 2017: 317-329 - 2016
- [j1]Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan
Machine learning as a service for enabling Internet of Things and People. Pers. Ubiquitous Comput. 20(6): 899-914 (2016) - [c10]Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda
CogNet: A network management architecture featuring cognitive capabilities. EuCNC 2016: 325-329 - [c9]Haytham Assem, Declan O'Sullivan
Discovering New Socio-demographic Regional Patterns in Cities. LBSN@SIGSPATIAL/GIS 2016: 1:1-1:9 - [c8]Haytham Assem, Lei Xu, Teodora Sandra Buda, Declan O'Sullivan:
Spatio-Temporal Clustering Approach for Detecting Functional Regions in Cities. ICTAI 2016: 370-377 - [c7]Gorka Vélez
Machine Learning for Autonomic Network Management in a Connected Cars Scenario. Nets4Cars/Nets4Trains/Nets4Aircraft 2016: 111-120 - [c6]Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici
Can machine learning aid in delivering new use cases and scenarios in 5G? NOMS 2016: 1279-1284 - 2015
- [c5]Haytham Assem, Declan O'Sullivan
Towards Bridging the Gap between Machine Learning Researchers and Practitioners. SmartCity 2015: 702-708 - 2013
- [c4]Mohamed Adel, Haytham Assem, Brendan Jennings
Improved E-model for monitoring quality of multi-party VoIP communications. GLOBECOM Workshops 2013: 1180-1185 - [c3]Haytham Assem, David Malone
A new adaptive redundancy control algorithm for VoIP applications. GLOBECOM 2013: 1323-1328 - [c2]Haytham Assem, David Malone
Monitoring VoIP call quality using improved simplified E-model. ICNC 2013: 927-931 - [c1]Haytham Assem, Mohamed Adel, Brendan Jennings, David Malone, Jonathan Dunne, Pat O'Sullivan:
A generic algorithm for mid-call audio codec switching. IM 2013: 1276-1281
Coauthor Index
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