Searched for: subject%3A%22Ranking%22
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Lyu, L. (author), Anand, A. (author)
This paper proposes a novel approach towards better interpretability of a trained text-based ranking model in a post-hoc manner. A popular approach for post-hoc interpretability text ranking models are based on locally approximating the model behavior using a simple ranker. Since rankings have multiple relevance factors and are aggregations...
conference paper 2023
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)
This paper proposes a super-resolution harmonic retrieval method for uncorrelated strictly non-circular signals, whose covariance and pseudo-covariance present Toeplitz and Hankel structures, respectively. Accordingly, the augmented covariance matrix constructed by the covariance and pseudo-covariance matrices is not only low rank but also...
conference paper 2023
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Mohammadi, Majid (author), Rezaei, J. (author)
This paper presents a new multi-criteria decision-making (MCDM) method, namely the ratio product model (RPM). We first overview two popular aggregating models: the weighted sum model (WSM) and the weighted product model (WPM). Then, we argue that the two models suffer from some fundamental issues mainly due to ignoring the ratio nature of the...
journal article 2023
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Allen, G.M. (author), Wright, Katherine Landau (author), Fails, Jerry Alan (author), Kennington, Casey (author), Pera, M.S. (author)
We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6–11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment,...
conference paper 2023
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Andrade Castanheira, Francisco (author)
The optimization of interplanetary, low-­thrust trajectories is a computationally expensive aspect of preliminary mission design. To reduce the computational burden associated with it, surrogate models can be used as cheap approximations of the original fitness function. Training the surrogate models in a fully online manner can be done to...
master thesis 2022
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Hulst, Naomi (author)
Parkinson’s Disease (PD) is the fastest growing neurodegenerative disease, currently affecting two to three percent of the population over 65. Studying functional connectivity (FC) in PD patients may provide new insights into how the disease alters brain organization in different subjects. We explored persistent homology (PH) as a method for...
master thesis 2022
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Zhang, QI (author)
In image search, an algorithm tries to identify images in a database that are similar to a query image. Image search has numerous applications. For example, image search can help historians find images of a historical building from a large image database of buildings worldwide. Feature extraction and nearest neighbors methods are standard steps...
master thesis 2022
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Westerborg, Ties (author)
Learning to Rank is the application of Machine Learning in order to create and optimize ranking functions. Most Learning to Rank methods follow a listwise approach and optimize a listwise loss function which closely resembles the same metric used in the evaluation. Popular listwise loss functions such as nDCG, AP and nRBP do not have consistent...
master thesis 2022
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Roseboom, Jeroen (author)
In my thesis I researched the potential paths and pitfalls of the newly created ``Taillardat index''.<br/>This index uses the tail characteristics of several CRPS-based distributions to rank forecasters on how well they forecast, with a slight emphasis on extreme events.<br/>From my research I concluded that the ``Taillardat Index'' in its...
master thesis 2022
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Anand, Abhijit (author), Leonhardt, Jurek (author), Rudra, Koustav (author), Anand, A. (author)
Contextual ranking models have delivered impressive performance improvements over classical models in the document ranking task. However, these highly over-parameterized models tend to be data-hungry and require large amounts of data even for fine tuning. This paper proposes a simple yet effective method to improve ranking performance on...
conference paper 2022
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Wang, Yumeng (author), Lyu, Lijun (author), Anand, A. (author)
Contextual ranking models based on BERT are now well established for a wide range of passage and document ranking tasks. However, the robustness of BERT-based ranking models under adversarial inputs is under-explored. In this paper, we argue that BERT-rankers are not immune to adversarial attacks targeting retrieved documents given a query....
conference paper 2022
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Nederstigt, Tom A.P. (author), Peijnenburg, Willie J.G.M. (author), Schrama, Maarten (author), van Ommen, J.R. (author), Vijver, Martina G. (author)
Recently, the delivery of pesticides through novel controlled-release (nano-)formulations has been proposed intending to reduce (incidental) pesticide translocation to non-target sites. Concerns have however been raised with regards to the potentially enhanced toxicity of controlled-release (nano-)formulations to non-target organisms and...
journal article 2022
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Yanovsky, Felix J. (author), Prokopenko, Igor (author), Rudiakova, Anna (author), Rhee, Huinam (author)
The generalized mathematical and computer model of clutter is developed. It is based on K-distribution and can be used for simulation of sea, atmospheric, and land clutter with different characteristics. Examples of model application for testing rank algorithm for clutter suppression are considered and analyzed.
conference paper 2022
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Mir, S.A.M. (author), Latoskinas, Evaldas (author), Proksch, S. (author), Gousios, G. (author)
Dynamic languages, such as Python and Javascript, trade static typing for developer flexibility and productivity. Lack of static typing can cause run-time exceptions and is a major factor for weak IDE support. To alleviate these issues, PEP 484 introduced optional type annotations for Python. As retrofitting types to existing code-bases is...
conference paper 2022
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Sun, Zhu (author), Yang, J. (author), Feng, Kaidong (author), Fang, Hui (author), Qu, Xinghua (author), Ong, Yew Soon (author)
Product bundling is a commonly-used marketing strategy in both offline retailers and online e-commerce systems. Current research on bundle recommendation is limited by: (1) noisy datasets, where bundles are defined by heuristics, e.g., products co-purchased in the same session; and (2) specific tasks, holding unrealistic assumptions, e.g.,...
conference paper 2022
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Shariq, Mohd (author), Singh, Karan (author), Lal, C. (author), Conti, M. (author), Khan, Tayyab (author)
Internet of Things (IoT) technologies rapidly evolve and are used in many real-life applications. One of the core technologies used in various IoT applications is Radio Frequency IDentification (RFID) technology. RFID wirelessly and uniquely identifies the tagged objects without a direct line of sight. However, the research community had...
journal article 2022
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Menzen, C.M. (author), Kok, M. (author), Batselier, K. (author)
Multiway data often naturally occurs in a tensorial format which can be approximately represented by a low-rank tensor decomposition. This is useful because complexity can be significantly reduced and the treatment of large-scale data sets can be facilitated. In this paper, we find a low-rank representation for a given tensor by solving a...
journal article 2022
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Dahlgren, F.S. (author), Gershkoff, Zachary (author), Hogben, Leslie (author), Motlaghian, Sara (author), Young, Derek (author)
A hollow matrix described by a graph G is a real symmetric matrix having all diagonal entries equal to zero and with the off-diagonal entries governed by the adjacencies in G. For a given graph G, the determination of all possible spectra of matrices associated with G is the hollow inverse eigenvalue problem for G. Solutions to the hollow...
journal article 2022
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Teunissen, P.J.G. (author), Khodabandeh, A. (author)
In this contribution, we generalize PPP–RTK theory by allowing the transmitters to transmit on different frequencies. The generalization is based on the integer-estimability theory of Teunissen (A new GLONASS FDMA model. GPS Solutions, 2019). As the theory and associated algorithms provided are generally applicable, they apply to satellite...
journal article 2022
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Wang, J. (author), Ding, Ming (author), Yarovoy, Alexander (author)
In this paper, the interference mitigation for Frequency Modulated Continuous Wave (FMCW) radar system with a dechirping receiver is investigated. After dechirping operation, the scattered signals from targets result in beat signals, i.e., the sum of complex exponentials while the interferences lead to chirp-like short pulses. Taking...
journal article 2022
Searched for: subject%3A%22Ranking%22
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